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Note: This page contains sample records for the topic "total sky imager" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


1

Accounting for Circumsolar and Horizon Cloud Determination Errors in Sky Image Inferral of Sky Cover  

NLE Websites -- All DOE Office Websites (Extended Search)

Accounting for Circumsolar and Horizon Cloud Determination Errors in Sky Accounting for Circumsolar and Horizon Cloud Determination Errors in Sky Image Inferral of Sky Cover. C. N. Long, Pacific Northwest National Laboratory 1) Introduction In observing the cloudless sky, one can often notice that the area near the sun is whiter and brighter than the rest of the hemisphere. Additionally, even a slight haze will make a large angular area of the horizon whiter and brighter when the sun is low on the horizon. The human eye has an amazing ability to handle a range of light intensity spanning orders of magnitude. But one of the persistent problems in using sky images to infer fractional sky cover is the intensity range limitations of the camera detector. It is desirable to have bright enough images to be able to detect thin clouds, yet this often means the part of the image near the

2

Deep Sky Astronomical Image Database Project at NERSC  

NLE Websites -- All DOE Office Websites (Extended Search)

Deep Sky Astronomical Image Deep Sky Astronomical Image Database Deep Sky Astronomical Image Database Key Challenges: Develop, store, analyze, and make available an astronomical image database of unprecedented depth, temporal breadth, and sky coverage, consisting of images from the seven-year span of the Palomar-Quest and Near-Earth Astroid Tracking (NEAT) transient surveys and the current Palomar Transient Factory (PTF). The database currently has over 13 million images stored on the NERSC Global Filesystem but data from the PTF are accumulating at the rate of about 105TB per year. The challenge is not only archiving the data but processing it in near-real time to observe rare and fleeting cosmic events as they happen so that experimental astronomers can be alerted. Why it Matters: The PTF will probe gaps in the transient phase space and

3

Cloud Coverage Based on All-Sky Imaging and Its Impact on Surface Solar Irradiance  

Science Conference Proceedings (OSTI)

In Lauder, Central Otago, New Zealand, two all-sky imaging systems have been in operation for more than 1 yr, measuring the total, opaque, and thin cloud fraction, as well as indicating whether the sun is obscured by clouds. The data provide a ...

G. Pfister; R. L. McKenzie; J. B. Liley; A. Thomas; B. W. Forgan; C. N. Long

2003-10-01T23:59:59.000Z

4

Extraction of cloud statistics from whole sky imaging cameras  

SciTech Connect

Computer codes have been developed to extract basic cloud statistics from whole sky imaging (WSI) cameras. This report documents, on an algorithmic level, the steps and processes underlying these codes. Appendices comment on code details and on how to adapt to future changes in either the source camera or the host computer.

Kegelmeyer, W.P. Jr.

1994-03-01T23:59:59.000Z

5

Retrieving Cloud Characteristics from Ground-Based Daytime Color All-Sky Images  

Science Conference Proceedings (OSTI)

A discussion is presented of daytime sky imaging and techniques that may be applied to the analysis of full-color sky images to infer cloud macrophysical properties. Descriptions of two different types of sky-imaging systems developed by the ...

C. N. Long; J. M. Sabburg; J. Calbó; D. Pagès

2006-05-01T23:59:59.000Z

6

Cloud classification using whole-sky imager data  

SciTech Connect

Clouds are one of the most important moderators of the earth radiation budget and one of the least understood. The effect that clouds have on the reflection and absorption of solar and terrestrial radiation is strongly influenced by their shape, size, and composition. Physically accurate parameterization of clouds is necessary for any general circulation model (GCM) to yield meaningful results. The work presented here is part of a larger project that is aimed at producing realistic three-dimensional (3D) volume renderings of cloud scenes, thereby providing the important shape information for parameterizing GCMs. The specific goal of the current study is to develop an algorithm that automatically classifies (by cloud type) the clouds observed in the scene. This information will assist the volume rendering program in determining the shape of the cloud. Much work has been done on cloud classification using multispectral satellite images. Most of these references use some kind of texture measure to distinguish the different cloud types and some also use topological features (such as cloud/sky connectivity or total number of clouds). A wide variety of classification methods has been used, including neural networks, various types of clustering, and thresholding. The work presented here utilizes binary decision trees to distinguish the different cloud types based on cloud feature vectors.

Buch, K.A. Jr.; Sun, Chen-Hui

1995-02-01T23:59:59.000Z

7

Measuring Total Column Water Vapor by Pointing an Infrared Thermometer at the Sky  

Science Conference Proceedings (OSTI)

A 2-yr study affirms that the temperature indicated by an inexpensive ($20–$60) IR thermometer pointed at the cloud-free zenith sky (Tz) is a proxy for total column water vapor [precipitable water (PW)]. From 8 September 2008 to 18 October 2010 Tz was ...

Forrest M. Mims III; Lin Hartung Chambers; David R. Brooks

2011-10-01T23:59:59.000Z

8

Aerosol effects on red blue ratio of clear sky images, and impact on solar forecasting  

E-Print Network (OSTI)

urban, and desert dust aerosols ." JOURNAL OF GEOPHYSICALand K. V. S. Badarinath. "Aerosol climatology: dependence ofUsing a Sky Imager for aerosol characterization."

Ghonima, Mohamed Sherif

2011-01-01T23:59:59.000Z

9

The Computation of Cloud-Base Height from Paired Whole-Sky Imaging Cameras  

Science Conference Proceedings (OSTI)

The authors have developed a novel approach to the extraction of cloud-base height (CBH) from pairs of whole-sky images. The core problem is to spatially register cloud fields from widely separated whole-sky imaging (WSI) cameras; this complete ...

Mark C. Allmen; W. Philip Kegelmeyer Jr.

1996-02-01T23:59:59.000Z

10

Aerosol effects on red blue ratio of clear sky images, and impact on solar forecasting  

E-Print Network (OSTI)

Bergin, M.H. From weather forecasting to exploring the solarWai, et al. "Intra-hour forecasting with a total sky imagerand Impact on Solar Forecasting A Thesis submitted in

Ghonima, Mohamed Sherif

2011-01-01T23:59:59.000Z

11

Feature Extraction from Whole-Sky Ground-Based Images for Cloud-Type Recognition  

Science Conference Proceedings (OSTI)

Several features that can be extracted from digital images of the sky and that can be useful for cloud-type classification of such images are presented. Some features are statistical measurements of image texture, some are based on the Fourier ...

Josep Calbó; Jeff Sabburg

2008-01-01T23:59:59.000Z

12

Triggering of Imaging Air Cherenkov Telescopes: PMT trigger rates due to night-sky photons  

E-Print Network (OSTI)

Imaging air Cherenkov telescopes are usually triggered on a coincidence of two or sometimes more pixels, with discriminator thresholds in excess of 20 photoelectrons applied for each pixel. These thresholds required to suppress night-sky background are significantly higher than expected on the basis of a Poisson distribution in the number of night-sky photoelectrons generated during the characteristic signal integration time. We studied noise trigger rates under controlled conditions using an artificial background light source. Large tails in the PMT amplitude response to single photoelectrons are identified as a dominant contribution to noise triggers. The rate of such events is very sensitive to PMT operating parameters.

G. Hermann; C. Köhler; T. Kutter; W. Hofmann

1995-08-07T23:59:59.000Z

13

Source Catalog Data from FIRST (Faint Images of the Radio Sky at Twenty-Centimeters)  

DOE Data Explorer (OSTI)

FIRST, Faint Images of the Radio Sky at Twenty-Centimeters, is a project designed to produce the radio equivalent of the Palomar Observatory Sky Survey over 10,000 square degrees of the North Galactic Cap. Using the National Radio Astronomy Observatory's (NRAO) Very Large Array (VLA) in its B-configuration, the Survey acquired 3-minute snapshots covering a hexagonal grid using 2?7 3-MHz frequency channels centered at 1365 and 1435 MHz. The data were edited, self-calibrated, mapped, and CLEANed using an automated pipeline based largely on routines in the Astronomical Image Processing System (AIPS). A final atlas of maps is produced by coadding the twelve images adjacent to each pointing center. Source catalogs with flux densities and size information are generated from the coadded images also. The July, 2008 catalog is the latest version and has been tested to ensure reliability and completness. The catalog, generated from the 1993 through 2004 images, contains 816,000 sources and covers more than 9000 square degrees. A specialized search interface for the catalog resides at this website, and the catalog is also available as a compressed ASCII file. The user may also view earlier versions of the source catalog. The FIRST survey area was chosen to coincide with that of the Sloan Digital Sky Survey (SDSS); at the m(v)~24 limit of SDSS, ~50% of the optical counterparts to FIRST sources will be detected.

Becker, Robert H.; Helfand, David J.; White, Richard L.; Gregg, Michael D.; Laurent-Muehleisen, Sally A.

14

Earth Occultation Imaging of the Low Energy Gamma-Ray Sky with GBM  

E-Print Network (OSTI)

The Earth Occultation Technique (EOT) has been applied to Fermi's Gamma-ray Burst Monitor (GBM) to perform all-sky monitoring for a predetermined catalog of hard X-ray/soft gamma-ray sources. Imaging with a Differential filter using the Earth Occultation Method (IDEOM) has been developed to search for sources not in the catalog, thus completing the catalog and reducing a source of systematic error in EOT. IDEOM is a tomographic imaging method that takes advantage of the orbital precession of the Fermi satellite. Using IDEOM, all-sky images have been generated for ~4 years of GBM data in the 12-50 keV, 50-100 keV and 100-300 keV energy bands in search of sources otherwise unmodeled by the GBM occultation analysis. Analysis resulted in the detection of 43 sources in the 12-50 keV energy band, 23 sources in the 50-100 keV energy band, and 7 sources in the 100-300 keV energy band. IDEOM analysis has resulted in the addition of 16 sources to the GBM-EOT catalog. We also present the first joined averaged spectra fo...

Rodi, J; Case, G L; Camero-Arranz, A; Chaplin, C; Finger, M H; Jenke, P; Wilson-Hodge, C A

2013-01-01T23:59:59.000Z

15

The computation of cloud base height from paired whole-sky imaging cameras  

SciTech Connect

A major goal for global change studies is to improve the accuracy of general circulation models (GCMs) capable of predicting the timing and magnitude of greenhouse gas-induced global warming. Research has shown that cloud radiative feedback is the single most important effect determining the magnitude of possible climate responses to human activity. Of particular value to reducing the uncertainties associated with cloud-radiation interactions is the measurement of cloud base height (CBH), both because it is a dominant factor in determining the infrared radiative properties of clouds with respect to the earth`s surface and lower atmosphere and because CBHs are essential to measuring cloud cover fraction. We have developed a novel approach to the extraction of cloud base height from pairs of whole sky imaging (WSI) cameras. The core problem is to spatially register cloud fields from widely separated WSI cameras; this complete, triangulation provides the CBH measurements. The wide camera separation (necessary to cover the desired observation area) and the self-similarity of clouds defeats all standard matching algorithms when applied to static views of the sky. To address this, our approach is based on optical flow methods that exploit the fact that modern WSIs provide sequences of images. We will describe the algorithm and present its performance as evaluated both on real data validated by ceilometer measurements and on a variety of simulated cases.

Allmen, M.C.; Kegelmeyer, W.P. Jr.

1994-03-01T23:59:59.000Z

16

An Improved Photometric Calibration of the Sloan Digital Sky Survey Imaging Data  

E-Print Network (OSTI)

We present an algorithm to photometrically calibrate wide field optical imaging surveys, that simultaneously solves for the calibration parameters and relative stellar fluxes using overlapping observations. The algorithm decouples the problem of "relative" calibrations, from that of "absolute" calibrations; the absolute calibration is reduced to determining a few numbers for the entire survey. We pay special attention to the spatial structure of the calibration errors, allowing one to isolate particular error modes in downstream analyses. Applying this to the Sloan Digital Sky Survey imaging data, we achieve ~1% relative calibration errors across 8500 sq.deg. in griz; the errors are ~2% for the u band. These errors are dominated by unmodelled atmospheric variations at Apache Point Observatory. These calibrations, dubbed "ubercalibration", are now public with SDSS Data Release 6, and will be a part of subsequent SDSS data releases.

N. Padmanabhan; D. J. Schlegel; D. P. Finkbeiner; J. C. Barentine; M. R. Blanton; H. J. Brewington; J. E. Gunn; M. Harvanek; D. W. Hogg; Z. Ivezic; D. Johnston; S. M. Kent; S. J. Kleinman; G. R. Knapp; J. Krzesinski; D. Long; E. H. Neilsen; A. Nitta; C. Loomis; R. H. Lupton; S. Roweis; S. A. Snedden; M. A. Strauss; D. L. Tucker

2007-03-19T23:59:59.000Z

17

An Improved Photometric Calibration of the Sloan Digital Sky Survey Imaging Data  

E-Print Network (OSTI)

We present an algorithm to photometrically calibrate wide field optical imaging surveys, that simultaneously solves for the calibration parameters and relative stellar fluxes using overlapping observations. The algorithm decouples the problem of "relative" calibrations, from that of "absolute" calibrations; the absolute calibration is reduced to determining a few numbers for the entire survey. We pay special attention to the spatial structure of the calibration errors, allowing one to isolate particular error modes in downstream analyses. Applying this to the Sloan Digital Sky Survey imaging data, we achieve ~1% relative calibration errors across 8500 sq.deg. in griz; the errors are ~2% for the u band. These errors are dominated by unmodelled atmospheric variations at Apache Point Observatory.

Padmanabhan, N; Finkbeiner, D P; Barentine, J C; Blanton, M R; Brewington, H J; Gunn, J E; Harvanek, M; Hogg, D W; Ivezic, Z; Johnston, D; Kent, S M; Kleinman, S J; Knapp, G R; Krzesínski, J; Long, D; Neilsen, E H; Nitta, A; Loomis, C; Lupton, R H; Roweis, S; Snedden, S A; Strauss, M A; Tucker, D L

2007-01-01T23:59:59.000Z

18

An Improved Photometric Calibration of the Sloan Digital Sky Survey Imaging Data  

Science Conference Proceedings (OSTI)

We present an algorithm to photometrically calibrate wide field optical imaging surveys, that simultaneously solves for the calibration parameters and relative stellar fluxes using overlapping observations. The algorithm decouples the problem of ''relative'' calibrations from that of ''absolute'' calibrations; the absolute calibration is reduced to determining a few numbers for the entire survey. We pay special attention to the spatial structure of the calibration errors, allowing one to isolate particular error modes in downstream analyses. Applying this to the Sloan Digital Sky Survey imaging data, we achieve {approx}1% relative calibration errors across 8500 deg{sup 2} in griz; the errors are {approx}2% for the u band. These errors are dominated by unmodeled atmospheric variations at Apache Point Observatory.

Padmanabhan, Nikhil; Schlegel, D.J.; Finkbeiner, D.P.; Barentine, J.C.; Blanton, M.R.; Brewington, H.J.; Gunn, J.E.; Harvanek, M.; Hogg, D.W.; Ivezic, Z.; Johnston, D.; /LBL, Berkeley /Princeton U. /Harvard-Smithsonian Ctr. Astrophys. /Texas U., Astron. Dept. /Apache Point Observ. /New York U. /Washington U., Seattle, Astron. Dept. /Caltech, JPL /Fermilab /Subaru Telescope /Mt. Suhora Observ., Cracow

2007-03-01T23:59:59.000Z

19

An Improved Photometric Calibration of the Sloan Digital SkySurvey Imaging Data  

Science Conference Proceedings (OSTI)

We present an algorithm to photometrically calibrate widefield optical imaging surveys, that simultaneously solves for thecalibration parameters and relative stellar fluxes using overlappingobservations. The algorithm decouples the problem of "relative"calibrations from that of "absolute" calibrations; the absolutecalibration is reduced to determining a few numbers for the entiresurvey. We pay special attention to the spatial structure of thecalibration errors, allowing one to isolate particular error modes indownstream analyses. Applying this to the SloanDigital Sky Survey imagingdata, we achieve ~;1 percent relative calibration errors across 8500sq.deg/ in griz; the errors are ~;2 percent for the u band. These errorsare dominated by unmodelled atmospheric variations at Apache PointObservatory. These calibrations, dubbed ubercalibration, are now publicwith SDSS Data Release 6, and will be a part of subsequent SDSS datareleases.

Padmanabhan, Nikhil; Schlegel, David J.; Finkbeiner, Douglas P.; Barentine, J.C.; Blanton, Michael R.; Brewington, Howard J.; Gunn, JamesE.; Harvanek, Michael; Hogg, David W.; Ivezic, Zeljko; Johnston, David; Kent, Stephen M.; Kleinman, S.J.; Knapp, Gillian R.; Krzesinski, Jurek; Long, Dan; Neilsen Jr., Eric H.; Nitta, Atsuko; Loomis, Craig; Lupton,Robert H.; Roweis, Sam; Snedden, Stephanie A.; Strauss, Michael A.; Tucker, Douglas L.

2007-09-30T23:59:59.000Z

20

Almost a Century of “Imaging” Clouds Over the Whole-Sky Dome  

Science Conference Proceedings (OSTI)

Meteorological whole-sky photography can be traced back to just after the turn of the century. Capturing an objective and well-determined view of the cloud cover over the whole-sky dome has been one of the principal goals of subsequent ...

K. McGuffe; A. Henderson-Sellers

1989-10-01T23:59:59.000Z

Note: This page contains sample records for the topic "total sky imager" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


21

Astronomical Images from FIRST, Faint Images of the Radio Sky at Twenty-Centimeters, from the Very Large Array (VLA) First Survey  

DOE Data Explorer (OSTI)

FIRST, Faint Images of the Radio Sky at Twenty-cm, is a project designed to produce the radio equivalent of the Palomar Observatory Sky Survey over 10,000 square degrees of the North Galactic Cap. Using the National Radio Astronomy Observatory's (NRAO) Very Large Array (VLA) in its B-configuration, the Survey acquired 3-minute snapshots covering a hexagonal grid using 27 3-MHz frequency channels centered at 1365 and 1435 MHz. The data were edited, self-calibrated, mapped, and cleaned using an automated pipeline based largely on routines in the Astronomical Image Processing System (AIPS). A final atlas of maps is produced by coadding the twelve images adjacent to each pointing center. These maps have 1.8" pixels, a typical rms of 0.15 mJy, and a resolution of 5". The best way to gain access to specific images is through the FIRST Cutout Server. It allows users to extract a specific image section from the coadded image database. All images taken through 2004 are available through the Cutout Server. The FIRST survey area was chosen to coincide with that of the Sloan Digital Sky Survey (SDSS); at the m(v)~24 limit of SDSS, ~50% of the optical counterparts to FIRST sources will be detected. Both images and catalogs, searchable through specialized interfaces, are available at the FIRST website, and images are also available via anonymous ftp at ftp://archive.stsci.edu/pub/vla_first/data. Data were collected from 1993 through 2002.

Becker, Robert H.; Helfand, David J.; White, Richard L.; Gregg, Michael D.; Laurent-Muehleisen, Sally A.

22

Intergalactic stars in z~0.25 galaxy clusters: systematic properties from stacking of Sloan Digital Sky Survey imaging data  

E-Print Network (OSTI)

We analyse the spatial distribution and colour of the intracluster light (ICL) in 683 clusters of galaxies between z=0.2 and 0.3, selected from approx 1500 deg^2 of the SDSS-DR1. Surface photometry in the g, r and i bands is conducted on stacked images of the clusters, after rescaling them to the same metric size and masking out resolved sources. We are able to trace the average surface brightness profile of the ICL out to 700 kpc, where it is less than 1/10,000 of the mean surface brightness of the dark night sky. The ICL appears as a clear surface brightness excess with respect to an inner R^1/4 profile which characterises the mean profile of the BCG. The surface brightness (SB) of the ICL ranges from 27.5 mag/arcsec^2 at 100 kpc to roughly 32 at 700 kpc in the observed r-band (26.5 to 31 in the rest-frame g-band). We find that, on average, the ICL contributes only a small fraction of the total optical emission in a cluster (10.9+-5.0% within 500 kpc). The radial distribution of the ICL is more centrally concentrated than that of the cluster galaxies, but the colours of the two components are identical within the statistical uncertainties. In the mean the ICL is aligned with and more flattened than the BCG itself. This alignment is substantially stronger than that of the cluster light as a whole. The SB of the ICL correlates both with BCG luminosity and with cluster richness, while the fraction of the total light in the ICL is almost independent of these quantities. These results support the idea that the ICL is produced by stripping and disruption of galaxies as they pass through the central regions of clusters. Our measurements of the diffuse light also constrain the faint-end slope of the cluster LF. Slopes alphalight from undetected galaxies than is observed in the diffuse component.

Stefano Zibetti; Simon D. M. White; Donald P. Schneider; Jon Brinkmann

2005-01-11T23:59:59.000Z

23

Sloan digital sky survey  

SciTech Connect

The Sloan Digital Sky Survey will produce a detailed digital photometric map of half the northern sky to about 23 magnitude using a special purpose wide field 2.5 meter telescope. From this map we will select {approximately} 10{sup 6} galaxies and 10{sup 5} quasars, and obtain high resolution spectra using the same telescope. The imaging catalog will contain 10{sup 8} galaxies, a similar number of stars, and 10{sup 6} quasar candidates.

Kent, S.M.; Stoughton, C.; Newberg, H.; Loveday, J.; Petravick, D.; Gurbani, V.; Berman, E.; Sergey, G. [Fermi National Accelerator Lab., Batavia, IL (United States); Lupton, R. [Princeton Univ., NJ (United States)

1994-04-01T23:59:59.000Z

24

Validation of MODIS-Retrieved Cloud Fractions Using Whole Sky Imager Measurements at the Three ARM Sites  

NLE Websites -- All DOE Office Websites (Extended Search)

MODIS-Retrieved Cloud Fractions Using MODIS-Retrieved Cloud Fractions Using Whole Sky Imager Measurements at the Three ARM Sites Z. Li, M. C. Cribb, and F.-L. Chang Earth System Science Interdisciplinary Center University of Maryland College Park, Maryland A. P. Trishchenko Canada Centre for Remote Sensing Ottawa, Ontario, Canada Introduction Given the importance of clouds in modulating the surface energy budget, it is critical to obtain accurate estimates of their fractional amount in the atmospheric column for use in modeling studies. Satellite remote sensing of cloud properties such as cloud amount has the advantage of providing global coverage on a regular basis. Ground-based surveys of cloud fraction offer a practical database for use in determining the accuracy of these remotely sensed estimates of cloud fraction on a regional scale.

25

COBE Sky Map  

NLE Websites -- All DOE Office Websites (Extended Search)

COBE sky map COBE sky map This map of the ancient sky shows the minute variations in the microwave background discovered by the team led by Lawrence Berkeley Laboratory astrophysicist George Smoot. As seen in the map, vast regions of space have minute variations in temperature. Over billions of years, gravity magnified these small differences into the clusters of galaxies we observe today. Displayed horizontally across the middle of the map is the Milky Way galaxy. The image, a 360-degree map of the whole sky, shows the relic radiation from the Big Bang. The map was derived from one year of data taken by the Differential Microwave Radiometers onboard NASA's Cosmic Background Explorer satellite. Using Galactic coordinates, the map shows the plane of the Milky Way galaxy horizontally and the center of our galaxy at its

26

Clear Skies  

NLE Websites -- All DOE Office Websites (Extended Search)

Clear Skies A. A. lacis NASA Goddard Space Flight Center Institute for Space Studies New York, NY 10025 "convective adjustment"takes place. Energy is transported upward within the...

27

New image restoration method associated with tetrolets shrinkage and weighted anisotropic total variation  

Science Conference Proceedings (OSTI)

Image restoration is one of the most classical problems in image processing. The main issues of image restoration are deblurring, denoising and preserving fine details. In order to obtain good restored images, we propose a new image restoration method ... Keywords: Image restoration, Tetrolet transform, Weighted anisotropic total variation

Liqian Wang; Liang Xiao; Jun Zhang; Zhihui Wei

2013-04-01T23:59:59.000Z

28

Total..........................................................  

U.S. Energy Information Administration (EIA) Indexed Site

Housing Units (millions) Energy Information Administration 2005 Residential Energy Consumption Survey: Preliminary Housing Characteristics Tables Census Division Total South...

29

The Infrared Sky  

E-Print Network (OSTI)

The infrared sky from space is the sum of a cosmic signal from galaxies, quasars, and perhaps more exotic sources; and foregrounds from the Milky Way and from the Solar System. At a distance of 1 AU from the Sun, the foreground from interplanetary dust is very bright between 5 and 100 microns, but ``very bright'' is still several million times fainter than the background produced by ground-based telescopes. In the near infrared 1-2.2 micron range the space infrared sky is a thousand times fainter than the OH nightglow from the Earth's atmosphere. As a result of these advantages, wide-field imaging from space in the infrared can be an incredibly sensitive method to study the Universe.

E. L. Wright

2004-09-03T23:59:59.000Z

30

Total..........................................................  

U.S. Energy Information Administration (EIA) Indexed Site

Division Total West Mountain Pacific Energy Information Administration: 2005 Residential Energy Consumption Survey: Preliminary Housing Characteristics Tables Million U.S. Housing...

31

Total..........................................................  

U.S. Energy Information Administration (EIA) Indexed Site

(millions) Census Division Total South Energy Information Administration 2005 Residential Energy Consumption Survey: Preliminary Housing Characteristics Tables Table HC13.7...

32

Total..........................................................  

U.S. Energy Information Administration (EIA) Indexed Site

Census Division Total Midwest Energy Information Administration 2005 Residential Energy Consumption Survey: Preliminary Housing Characteristics Tables Table HC12.7...

33

Total..........................................................  

U.S. Energy Information Administration (EIA) Indexed Site

Census Division Total Northeast Energy Information Administration 2005 Residential Energy Consumption Survey: Preliminary Housing Characteristics Tables Table HC11.7...

34

Total..........................................................  

U.S. Energy Information Administration (EIA) Indexed Site

Census Division Total South Energy Information Administration: 2005 Residential Energy Consumption Survey: Preliminary Housing Characteristics Tables Million U.S. Housing...

35

Total..........................................................  

Gasoline and Diesel Fuel Update (EIA)

(millions) Census Division Total West Energy Information Administration 2005 Residential Energy Consumption Survey: Preliminary Housing Characteristics Tables Table HC14.7...

36

Total  

Gasoline and Diesel Fuel Update (EIA)

Total Total .............. 16,164,874 5,967,376 22,132,249 2,972,552 280,370 167,519 18,711,808 1993 Total .............. 16,691,139 6,034,504 22,725,642 3,103,014 413,971 226,743 18,981,915 1994 Total .............. 17,351,060 6,229,645 23,580,706 3,230,667 412,178 228,336 19,709,525 1995 Total .............. 17,282,032 6,461,596 23,743,628 3,565,023 388,392 283,739 19,506,474 1996 Total .............. 17,680,777 6,370,888 24,051,665 3,510,330 518,425 272,117 19,750,793 Alabama Total......... 570,907 11,394 582,301 22,601 27,006 1,853 530,841 Onshore ................ 209,839 11,394 221,233 22,601 16,762 1,593 180,277 State Offshore....... 209,013 0 209,013 0 10,244 260 198,509 Federal Offshore... 152,055 0 152,055 0 0 0 152,055 Alaska Total ............ 183,747 3,189,837 3,373,584 2,885,686 0 7,070 480,828 Onshore ................ 64,751 3,182,782

37

Total............................................................  

U.S. Energy Information Administration (EIA) Indexed Site

Total................................................................... Total................................................................... 111.1 2,033 1,618 1,031 791 630 401 Total Floorspace (Square Feet) Fewer than 500............................................... 3.2 357 336 113 188 177 59 500 to 999....................................................... 23.8 733 667 308 343 312 144 1,000 to 1,499................................................. 20.8 1,157 1,086 625 435 409 235 1,500 to 1,999................................................. 15.4 1,592 1,441 906 595 539 339 2,000 to 2,499................................................. 12.2 2,052 1,733 1,072 765 646 400 2,500 to 2,999................................................. 10.3 2,523 2,010 1,346 939 748 501 3,000 to 3,499................................................. 6.7 3,020 2,185 1,401 1,177 851 546

38

Intra-hour forecasting with a total sky imager at the UC San Diego solar energy testbed  

E-Print Network (OSTI)

of numerical weather prediction for intra- day solarweather patterns, changing cloud patterns are more common than in more synoptically driven areas. Large solar

2011-01-01T23:59:59.000Z

39

Total...................  

Gasoline and Diesel Fuel Update (EIA)

4,690,065 52,331,397 2,802,751 4,409,699 7,526,898 209,616 1993 Total................... 4,956,445 52,535,411 2,861,569 4,464,906 7,981,433 209,666 1994 Total................... 4,847,702 53,392,557 2,895,013 4,533,905 8,167,033 202,940 1995 Total................... 4,850,318 54,322,179 3,031,077 4,636,500 8,579,585 209,398 1996 Total................... 5,241,414 55,263,673 3,158,244 4,720,227 8,870,422 206,049 Alabama ...................... 56,522 766,322 29,000 62,064 201,414 2,512 Alaska.......................... 16,179 81,348 27,315 12,732 75,616 202 Arizona ........................ 27,709 689,597 28,987 49,693 26,979 534 Arkansas ..................... 46,289 539,952 31,006 67,293 141,300 1,488 California ..................... 473,310 8,969,308 235,068 408,294 693,539 36,613 Colorado...................... 110,924 1,147,743

40

Automated Regularization Parameter Selection in Multi-Scale Total Variation Models for Image Restoration  

Science Conference Proceedings (OSTI)

Multi-scale total variation models for image restoration are introduced. The models utilize a spatially dependent regularization parameter in order to enhance image regions containing details while still sufficiently smoothing homogeneous features. The ... Keywords: Hierarchical decomposition, Local variance estimator, Order statistics, Primal-dual method, Semismooth Newton method, Spatially dependent regularization parameter, Total variation regularization

Yiqiu Dong; Michael Hintermüller; M. Monserrat Rincon-Camacho

2011-05-01T23:59:59.000Z

Note: This page contains sample records for the topic "total sky imager" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


41

A physically-based night sky model  

Science Conference Proceedings (OSTI)

This paper presents a physically-based model of the night sky for realistic image synthesis. We model both the direct appearance of the night sky and the illumination coming from the Moon, the stars, the zodiacal light, and the atmosphere. To accurately ...

Henrik Wann Jensen; Frédo Durand; Julie Dorsey; Michael M. Stark; Peter Shirley; Simon Premože

2001-08-01T23:59:59.000Z

42

Total..........................................................................  

U.S. Energy Information Administration (EIA) Indexed Site

25.6 25.6 40.7 24.2 Floorspace (Square Feet) Total Floorspace 1 Fewer than 500................................................... 3.2 0.9 0.5 0.9 1.0 500 to 999........................................................... 23.8 4.6 3.9 9.0 6.3 1,000 to 1,499..................................................... 20.8 2.8 4.4 8.6 5.0 1,500 to 1,999..................................................... 15.4 1.9 3.5 6.0 4.0 2,000 to 2,499..................................................... 12.2 2.3 3.2 4.1 2.6 2,500 to 2,999..................................................... 10.3 2.2 2.7 3.0 2.4 3,000 to 3,499..................................................... 6.7 1.6 2.1 2.1 0.9 3,500 to 3,999..................................................... 5.2 1.1 1.7 1.5 0.9 4,000 or More.....................................................

43

Total..........................................................................  

U.S. Energy Information Administration (EIA) Indexed Site

4.2 4.2 7.6 16.6 Floorspace (Square Feet) Total Floorspace 1 Fewer than 500................................................... 3.2 1.0 0.2 0.8 500 to 999........................................................... 23.8 6.3 1.4 4.9 1,000 to 1,499..................................................... 20.8 5.0 1.6 3.4 1,500 to 1,999..................................................... 15.4 4.0 1.4 2.6 2,000 to 2,499..................................................... 12.2 2.6 0.9 1.7 2,500 to 2,999..................................................... 10.3 2.4 0.9 1.4 3,000 to 3,499..................................................... 6.7 0.9 0.3 0.6 3,500 to 3,999..................................................... 5.2 0.9 0.4 0.5 4,000 or More.....................................................

44

Total.........................................................................  

U.S. Energy Information Administration (EIA) Indexed Site

Floorspace (Square Feet) Floorspace (Square Feet) Total Floorspace 2 Fewer than 500.................................................. 3.2 Q 0.8 0.9 0.8 0.5 500 to 999.......................................................... 23.8 1.5 5.4 5.5 6.1 5.3 1,000 to 1,499.................................................... 20.8 1.4 4.0 5.2 5.0 5.2 1,500 to 1,999.................................................... 15.4 1.4 3.1 3.5 3.6 3.8 2,000 to 2,499.................................................... 12.2 1.4 3.2 3.0 2.3 2.3 2,500 to 2,999.................................................... 10.3 1.5 2.3 2.7 2.1 1.7 3,000 to 3,499.................................................... 6.7 1.0 2.0 1.7 1.0 1.0 3,500 to 3,999.................................................... 5.2 0.8 1.5 1.5 0.7 0.7 4,000 or More.....................................................

45

Total..........................................................................  

U.S. Energy Information Administration (EIA) Indexed Site

. . 111.1 20.6 15.1 5.5 Floorspace (Square Feet) Total Floorspace 1 Fewer than 500................................................... 3.2 0.9 0.5 0.4 500 to 999........................................................... 23.8 4.6 3.6 1.1 1,000 to 1,499..................................................... 20.8 2.8 2.2 0.6 1,500 to 1,999..................................................... 15.4 1.9 1.4 0.5 2,000 to 2,499..................................................... 12.2 2.3 1.7 0.5 2,500 to 2,999..................................................... 10.3 2.2 1.7 0.6 3,000 to 3,499..................................................... 6.7 1.6 1.0 0.6 3,500 to 3,999..................................................... 5.2 1.1 0.9 0.3 4,000 or More.....................................................

46

Total..........................................................................  

U.S. Energy Information Administration (EIA) Indexed Site

7.1 7.1 7.0 8.0 12.1 Floorspace (Square Feet) Total Floorspace 1 Fewer than 500................................................... 3.2 0.4 Q Q 0.5 500 to 999........................................................... 23.8 2.5 1.5 2.1 3.7 1,000 to 1,499..................................................... 20.8 1.1 2.0 1.5 2.5 1,500 to 1,999..................................................... 15.4 0.5 1.2 1.2 1.9 2,000 to 2,499..................................................... 12.2 0.7 0.5 0.8 1.4 2,500 to 2,999..................................................... 10.3 0.5 0.5 0.4 1.1 3,000 to 3,499..................................................... 6.7 0.3 Q 0.4 0.3 3,500 to 3,999..................................................... 5.2 Q Q Q Q 4,000 or More.....................................................

47

Total..........................................................................  

U.S. Energy Information Administration (EIA) Indexed Site

7.1 7.1 19.0 22.7 22.3 Floorspace (Square Feet) Total Floorspace 1 Fewer than 500................................................... 3.2 2.1 0.6 Q 0.4 500 to 999........................................................... 23.8 13.6 3.7 3.2 3.2 1,000 to 1,499..................................................... 20.8 9.5 3.7 3.4 4.2 1,500 to 1,999..................................................... 15.4 6.6 2.7 2.5 3.6 2,000 to 2,499..................................................... 12.2 5.0 2.1 2.8 2.4 2,500 to 2,999..................................................... 10.3 3.7 1.8 2.8 2.1 3,000 to 3,499..................................................... 6.7 2.0 1.4 1.7 1.6 3,500 to 3,999..................................................... 5.2 1.6 0.8 1.5 1.4 4,000 or More.....................................................

48

Total..........................................................................  

U.S. Energy Information Administration (EIA) Indexed Site

0.7 0.7 21.7 6.9 12.1 Floorspace (Square Feet) Total Floorspace 1 Fewer than 500................................................... 3.2 0.9 0.6 Q Q 500 to 999........................................................... 23.8 9.0 4.2 1.5 3.2 1,000 to 1,499..................................................... 20.8 8.6 4.7 1.5 2.5 1,500 to 1,999..................................................... 15.4 6.0 2.9 1.2 1.9 2,000 to 2,499..................................................... 12.2 4.1 2.1 0.7 1.3 2,500 to 2,999..................................................... 10.3 3.0 1.8 0.5 0.7 3,000 to 3,499..................................................... 6.7 2.1 1.2 0.5 0.4 3,500 to 3,999..................................................... 5.2 1.5 0.8 0.3 0.4 4,000 or More.....................................................

49

Total..........................................................  

U.S. Energy Information Administration (EIA) Indexed Site

.. .. 111.1 24.5 1,090 902 341 872 780 441 Total Floorspace (Square Feet) Fewer than 500...................................... 3.1 2.3 403 360 165 366 348 93 500 to 999.............................................. 22.2 14.4 763 660 277 730 646 303 1,000 to 1,499........................................ 19.1 5.8 1,223 1,130 496 1,187 1,086 696 1,500 to 1,999........................................ 14.4 1.0 1,700 1,422 412 1,698 1,544 1,348 2,000 to 2,499........................................ 12.7 0.4 2,139 1,598 Q Q Q Q 2,500 to 2,999........................................ 10.1 Q Q Q Q Q Q Q 3,000 or More......................................... 29.6 0.3 Q Q Q Q Q Q Heated Floorspace (Square Feet) None...................................................... 3.6 1.8 1,048 0 Q 827 0 407 Fewer than 500......................................

50

Total...................................................................  

U.S. Energy Information Administration (EIA) Indexed Site

2,033 2,033 1,618 1,031 791 630 401 Total Floorspace (Square Feet) Fewer than 500............................................... 3.2 357 336 113 188 177 59 500 to 999....................................................... 23.8 733 667 308 343 312 144 1,000 to 1,499................................................. 20.8 1,157 1,086 625 435 409 235 1,500 to 1,999................................................. 15.4 1,592 1,441 906 595 539 339 2,000 to 2,499................................................. 12.2 2,052 1,733 1,072 765 646 400 2,500 to 2,999................................................. 10.3 2,523 2,010 1,346 939 748 501 3,000 to 3,499................................................. 6.7 3,020 2,185 1,401 1,177 851 546 3,500 to 3,999................................................. 5.2 3,549 2,509 1,508

51

Total...........................................................  

U.S. Energy Information Administration (EIA) Indexed Site

26.7 26.7 28.8 20.6 13.1 22.0 16.6 38.6 Floorspace (Square Feet) Total Floorspace 1 Fewer than 500................................... 3.2 1.9 0.9 Q Q Q 1.3 2.3 500 to 999........................................... 23.8 10.5 7.3 3.3 1.4 1.2 6.6 12.9 1,000 to 1,499..................................... 20.8 5.8 7.0 3.8 2.2 2.0 3.9 8.9 1,500 to 1,999..................................... 15.4 3.1 4.2 3.4 2.0 2.7 1.9 5.0 2,000 to 2,499..................................... 12.2 1.7 2.7 2.9 1.8 3.2 1.1 2.8 2,500 to 2,999..................................... 10.3 1.2 2.2 2.3 1.7 2.9 0.6 2.0 3,000 to 3,499..................................... 6.7 0.9 1.4 1.5 1.0 1.9 0.4 1.4 3,500 to 3,999..................................... 5.2 0.8 1.2 1.0 0.8 1.5 0.4 1.3 4,000 or More...................................... 13.3 0.9 1.9 2.2 2.0 6.4 0.6 1.9 Heated Floorspace

52

Total...........................................................  

U.S. Energy Information Administration (EIA) Indexed Site

14.7 14.7 7.4 12.5 12.5 18.9 18.6 17.3 9.2 Floorspace (Square Feet) Total Floorspace 1 Fewer than 500.................................... 3.2 0.7 Q 0.3 0.3 0.7 0.6 0.3 Q 500 to 999........................................... 23.8 2.7 1.4 2.2 2.8 5.5 5.1 3.0 1.1 1,000 to 1,499..................................... 20.8 2.3 1.4 2.4 2.5 3.5 3.5 3.6 1.6 1,500 to 1,999..................................... 15.4 1.8 1.4 2.2 2.0 2.4 2.4 2.1 1.2 2,000 to 2,499..................................... 12.2 1.4 0.9 1.8 1.4 2.2 2.1 1.6 0.8 2,500 to 2,999..................................... 10.3 1.6 0.9 1.1 1.1 1.5 1.5 1.7 0.8 3,000 to 3,499..................................... 6.7 1.0 0.5 0.8 0.8 1.2 0.8 0.9 0.8 3,500 to 3,999..................................... 5.2 1.1 0.3 0.7 0.7 0.4 0.5 1.0 0.5 4,000 or More...................................... 13.3

53

Total................................................  

U.S. Energy Information Administration (EIA) Indexed Site

.. .. 111.1 86.6 2,522 1,970 1,310 1,812 1,475 821 1,055 944 554 Total Floorspace (Square Feet) Fewer than 500............................. 3.2 0.9 261 336 162 Q Q Q 334 260 Q 500 to 999.................................... 23.8 9.4 670 683 320 705 666 274 811 721 363 1,000 to 1,499.............................. 20.8 15.0 1,121 1,083 622 1,129 1,052 535 1,228 1,090 676 1,500 to 1,999.............................. 15.4 14.4 1,574 1,450 945 1,628 1,327 629 1,712 1,489 808 2,000 to 2,499.............................. 12.2 11.9 2,039 1,731 1,055 2,143 1,813 1,152 Q Q Q 2,500 to 2,999.............................. 10.3 10.1 2,519 2,004 1,357 2,492 2,103 1,096 Q Q Q 3,000 or 3,499.............................. 6.7 6.6 3,014 2,175 1,438 3,047 2,079 1,108 N N N 3,500 to 3,999.............................. 5.2 5.1 3,549 2,505 1,518 Q Q Q N N N 4,000 or More...............................

54

Cloudy Skies  

NLE Websites -- All DOE Office Websites (Extended Search)

J. linn J. linn Space Science and Technology Division Los Alamos National Laboratory iLos Alamos, NM 87545 The earth's weather and climate are influenced strongly by phenomena associated with clouds. Therefore, a general circulation model (GCM) that models the evolution of weather and climate must include an accurate physical model of the clouds. This paper describes our efforts to develop a suitable cloud model. It concentrates on the microphysical processes that determine the evolution of droplet and ice crystal size distributions, precipitation rates, total and condensed water content, and radiative extinction coefficients. We assume a fixed temperature, acloud vertical thickness, and concentrations and size distributions of cloud condensation nuclei (CCN) and ice condensation nuclei

55

Big Sky Carbon Atlas  

DOE Data Explorer (OSTI)

(Acknowledgment to the Big Sky Carbon Sequestration Partnership (BSCSP); see home page at http://www.bigskyco2.org/)

Carbon Sequestration Partnership, Big Sky [BSCSP; ,

56

SURVEYING THE DYNAMIC RADIO SKY WITH THE LONG WAVELENGTH DEMONSTRATOR ARRAY  

Science Conference Proceedings (OSTI)

This paper presents a search for radio transients at a frequency of 73.8 MHz (4 m wavelength) using the all-sky imaging capabilities of the Long Wavelength Demonstrator Array (LWDA). The LWDA was a 16-dipole phased array telescope, located on the site of the Very Large Array in New Mexico. The field of view of the individual dipoles was essentially the entire sky, and the number of dipoles was sufficiently small that a simple software correlator could be used to make all-sky images. From 2006 October to 2007 February, we conducted an all-sky transient search program, acquiring a total of 106 hr of data; the time sampling varied, being 5 minutes at the start of the program and improving to 2 minutes by the end of the program. We were able to detect solar flares, and in a special-purpose mode, radio reflections from ionized meteor trails during the 2006 Leonid meteor shower. We detected no transients originating outside of the solar system above a flux density limit of 500 Jy, equivalent to a limit of no more than about 10{sup -2} events yr{sup -1} deg{sup -2}, having a pulse energy density {approx}>1.5 x 10{sup -20} J m{sup -2} Hz{sup -1} at 73.8 MHz for pulse widths of about 300 s. This event rate is comparable to that determined from previous all-sky transient searches, but at a lower frequency than most previous all-sky searches. We believe that the LWDA illustrates how an all-sky imaging mode could be a useful operational model for low-frequency instruments such as the Low Frequency Array, the Long Wavelength Array station, the low-frequency component of the Square Kilometre Array, and potentially the Lunar Radio Array.

Lazio, T. Joseph W.; Clarke, Tracy E.; Lane, W. M.; Gross, C.; Kassim, N. E.; Hicks, B.; Polisensky, E.; Stewart, K. [Remote Sensing Division, Naval Research Laboratory, 4555 Overlook Ave., SW, Washington, DC 20375 (United States); Ray, P. S. [Space Science Division, Naval Research Laboratory, 4555 Overlook Ave., SW, Washington, DC 20375-5382 (United States); Wood, D. [Praxis, Inc., 5845 Richmond Highway, Suite 700, Alexandria, VA 22303 (United States); York, J. A.; Kerkhoff, A. [Applied Research Laboratories, University of Texas at Austin, P.O. Box 8029, Austin, TX 78713-8029 (United States); Dalal, N. Paravastu [American Society for Engineering Education, Washington, DC 20036 (United States); Cohen, A. S. [Johns Hopkins University, Applied Physics Laboratory, 11100 Johns Hopkins Road, Laurel, MD 20723 (United States); Erickson, W. C., E-mail: Joseph.Lazio@jpl.nasa.go [School of Mathematics and Science, University of Tasmania, Churchill Ave., Sandy Bay, Tasmania 7005 (Australia)

2010-12-15T23:59:59.000Z

57

Seeing the sky through Hubble's eye: The COSMOS SkyWalker  

E-Print Network (OSTI)

Large, high-resolution space-based imaging surveys produce a volume of data that is difficult to present to the public in a comprehensible way. While megapixel-sized images can still be printed out or downloaded via the World Wide Web, this is no longer feasible for images with 10^9 pixels (e.g., the Hubble Space Telescope Advanced Camera for Surveys [ACS] images of the Galaxy Evolution from Morphology and SEDs [GEMS] project) or even 10^10 pixels (for the ACS Cosmic Evolution Survey [COSMOS]). We present a Web-based utility called the COSMOS SkyWalker that allows viewing of the huge ACS image data set, even through slow Internet connections. Using standard HTML and JavaScript, the application successively loads only those portions of the image at a time that are currently being viewed on the screen. The user can move within the image by using the mouse or interacting with an overview image. Using an astrometrically registered image for the COSMOS SkyWalker allows the display of calibrated world coordinates for use in science. The SkyWalker "technique" can be applied to other data sets. This requires some customization, notably the slicing up of a data set into small (e.g., 256^2 pixel) subimages. An advantage of the SkyWalker is the use of standard Web browser components; thus, it requires no installation of any software and can therefore be viewed by anyone across many operating systems.

K. Jahnke; S. F. Sanchez; A. Koekemoer

2006-07-23T23:59:59.000Z

58

Enhancement of historical printed document images by combining Total Variation regularization and Non-local Means filtering  

Science Conference Proceedings (OSTI)

This paper proposes a novel method for document enhancement which combines two recent powerful noise-reduction steps. The first step is based on the Total Variation framework. It flattens background grey-levels and produces an intermediate image where ... Keywords: Character recognition, Document image enhancement, Historical documents, Image processing, Non-local Means, Variational approach

Laurence Likforman-Sulem; Jérôme Darbon; Elisa H. Barney Smith

2011-04-01T23:59:59.000Z

59

jPOR: An ImageJ macro to quantify total optical porosity from blue-stained thin sections  

Science Conference Proceedings (OSTI)

A fast and effective method has been developed to measure total optical porosity (TOP) of blue resin-impregnated thin sections. This utilises a macro file (jPOR.txt) for ImageJ, which can be used on digital photomicrographs of thin sections. The method ... Keywords: Image analysis, Image processing, Operator error, Petrology, Point count, Porosity

Clayton Grove; Dougal A. Jerram

2011-11-01T23:59:59.000Z

60

Sky Train Corp | Open Energy Information  

Open Energy Info (EERE)

Sky Train Corp Jump to: navigation, search Name Sky Train Corp. Place Palm Harbor, Florida Zip 34684 Sector Services Product Sky Train Corporation is a consultant company...

Note: This page contains sample records for the topic "total sky imager" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


61

The Determination of Sky View-Factors in Urban Environments Using Video Imagery  

Science Conference Proceedings (OSTI)

A technique is described whereby sky view-factors may be determined using a video camera equipped with a fish-eye lens. The video image is digitized and then analyzed to distinguish between “sky” and “non-sky” pixels. View-factors are calculated ...

D. G. Steyn; J. E. Hay; Ian D. Watson; Glenn T. Johnson

1986-12-01T23:59:59.000Z

62

Sky Energy | Open Energy Information  

Open Energy Info (EERE)

Sky Energy Jump to: navigation, search Name Sky Energy Place Germany Product A German company which is involved with the development of a 10MW STEG plant in the Moura region of...

63

Earth Occultation Imaging Applied to BATSE -- Application to a Combined BATSE-GBM Survey of the Hard X-Ray Sky  

E-Print Network (OSTI)

A combined BATSE-GBM hard X-ray catalog is presented based on Earth Occultation Imaging applied to a reanalysis of BATSE data. An imaging approach has been developed for the reanalysis of Earth Occultation analysis of BATSE data. The standard occultation analysis depends on a predetermined catalog of potential sources, so that a real source not present in the catalog may induce systematic errors when source counts associated with an uncatalogued source are incorrectly attributed to catalog sources. The goal of the imaging analysis is to find a complete set of hard X-ray sources, including sources not in the original BATSE occultation catalog. Using the imaging technique, we have identified 15 known sources and 17 unidentified sources and added them to the BATSE occultation catalog. The resulting expanded BATSE catalog of sources observed during 1991-2000 is compared to the ongoing GBM survey.

Zhang, Yuan; Case, Gary; Ling, James; Wheaton, William

2013-01-01T23:59:59.000Z

64

Seeing the sky through Hubble's eye: The COSMOS SkyWalker  

E-Print Network (OSTI)

Large, high-resolution space-based imaging surveys produce a volume of data that is difficult to present to the public in a comprehensible way. While megapixel-sized images can still be printed out or downloaded via the World Wide Web, this is no longer feasible for images with 10^9 pixels (e.g., the Hubble Space Telescope Advanced Camera for Surveys [ACS] images of the Galaxy Evolution from Morphology and SEDs [GEMS] project) or even 10^10 pixels (for the ACS Cosmic Evolution Survey [COSMOS]). We present a Web-based utility called the COSMOS SkyWalker that allows viewing of the huge ACS image data set, even through slow Internet connections. Using standard HTML and JavaScript, the application successively loads only those portions of the image at a time that are currently being viewed on the screen. The user can move within the image by using the mouse or interacting with an overview image. Using an astrometrically registered image for the COSMOS SkyWalker allows the display of calibrated world coordinates f...

Jahnke, K; Koekemoer, A

2006-01-01T23:59:59.000Z

65

Global horizontal irradiance clear sky models : implementation and analysis.  

SciTech Connect

Clear sky models estimate the terrestrial solar radiation under a cloudless sky as a function of the solar elevation angle, site altitude, aerosol concentration, water vapor, and various atmospheric conditions. This report provides an overview of a number of global horizontal irradiance (GHI) clear sky models from very simple to complex. Validation of clear-sky models requires comparison of model results to measured irradiance during clear-sky periods. To facilitate validation, we present a new algorithm for automatically identifying clear-sky periods in a time series of GHI measurements. We evaluate the performance of selected clear-sky models using measured data from 30 different sites, totaling about 300 site-years of data. We analyze the variation of these errors across time and location. In terms of error averaged over all locations and times, we found that complex models that correctly account for all the atmospheric parameters are slightly more accurate than other models, but, primarily at low elevations, comparable accuracy can be obtained from some simpler models. However, simpler models often exhibit errors that vary with time of day and season, whereas the errors for complex models vary less over time.

Stein, Joshua S.; Hansen, Clifford W.; Reno, Matthew J.

2012-03-01T23:59:59.000Z

66

THE SEVENTH DATA RELEASE OF THE SLOAN DIGITAL SKY SURVEY  

SciTech Connect

This paper describes the Seventh Data Release of the Sloan Digital Sky Survey (SDSS), marking the completion of the original goals of the SDSS and the end of the phase known as SDSS-II. It includes 11,663 deg{sup 2} of imaging data, with most of the {approx}2000 deg{sup 2} increment over the previous data release lying in regions of low Galactic latitude. The catalog contains five-band photometry for 357 million distinct objects. The survey also includes repeat photometry on a 120 deg. long, 2.{sup 0}5 wide stripe along the celestial equator in the Southern Galactic Cap, with some regions covered by as many as 90 individual imaging runs. We include a co-addition of the best of these data, going roughly 2 mag fainter than the main survey over 250 deg{sup 2}. The survey has completed spectroscopy over 9380 deg{sup 2}; the spectroscopy is now complete over a large contiguous area of the Northern Galactic Cap, closing the gap that was present in previous data releases. There are over 1.6 million spectra in total, including 930,000 galaxies, 120,000 quasars, and 460,000 stars. The data release includes improved stellar photometry at low Galactic latitude. The astrometry has all been recalibrated with the second version of the USNO CCD Astrograph Catalog, reducing the rms statistical errors at the bright end to 45 milliarcseconds per coordinate. We further quantify a systematic error in bright galaxy photometry due to poor sky determination; this problem is less severe than previously reported for the majority of galaxies. Finally, we describe a series of improvements to the spectroscopic reductions, including better flat fielding and improved wavelength calibration at the blue end, better processing of objects with extremely strong narrow emission lines, and an improved determination of stellar metallicities.

Abazajian, Kevork N. [Department of Physics, University of Maryland, College Park, MD 20742 (United States); Adelman-McCarthy, Jennifer K.; Allam, Sahar S.; Annis, James; Berman, Eileen F. [Fermi National Accelerator Laboratory, P.O. Box 500, Batavia, IL 60510 (United States); Agueeros, Marcel A. [Columbia Astrophysics Laboratory, 550 West 120th Street, New York, NY 10027 (United States); Allende Prieto, Carlos [Mullard Space Science Laboratory, University College London, Holmbury SL Mary, Surrey, RH5 6NT (United Kingdom); An, Deokkeun [Department of Astronomy, Ohio State University, 140 West 18th Avenue, Columbus, OH 43210 (United States); Anderson, Kurt S. J. [Apache Point Observatory, P.O. Box 59, Sunspot, NM 88349 (United States); Anderson, Scott F.; Becker, Andrew C. [Department of Astronomy, University of Washington, Box 351580, Seattle, WA 98195 (United States); Bahcall, Neta A. [Department of Astrophysical Sciences, Princeton University, Princeton, NJ 08544 (United States); Bailer-Jones, C. A. L.; Bell, Eric F. [Max-Planck-Institut fuer Astronomie, Koenigstuhl 17, D-69117 Heidelberg (Germany); Barentine, J. C. [McDonald Observatory and Dept. of Astronomy, University of Texas, 1 University Station, C1400, Austin, TX 78712-0259 (United States); Bassett, Bruce A. [South African Astronomical Observatory, Observatory, Cape Town (South Africa); Beers, Timothy C. [Dept. of Physics and Astrophysics, CSCE: Center for the Study of Cosmic Evolution, and JINA: Joint Institute for Nuclear Astrophysics, Michigan State University, E. Lansing, MI 48824 (United States); Belokurov, Vasily [Institute of Astronomy, University of Cambridge, Madingley Road, Cambridge, CB3 0HA (United Kingdom); Berlind, Andreas A. [Dept. of Physics and Astronomy, Vanderbilt University, Nashville, TN 37235 (United States); Bernardi, Mariangela [Dept. of Physics and Astronomy, University of Pennsylvania, 209 South 33rd Street, Philadelphia, PA 19104 (United States)] (and others)

2009-06-15T23:59:59.000Z

67

Sky Energy Inc | Open Energy Information  

Open Energy Info (EERE)

Energy, Inc is a company located in Greenville, South Carolina . References "Sky Energy, Inc" Retrieved from "http:en.openei.orgwindex.php?titleSkyEnergyInc&oldid351167...

68

Measurements of sky luminance, sky illuminance, and horizontal solar radiation  

Science Conference Proceedings (OSTI)

This paper presents initial findings of a sky measurement program currently in progress at the National Bureau of Standards. Measurements are reported on sky luminance and illuminance and how they relate to horizontal solar radiation and sun position. Correlations are presented relating horizontal illuminance to horizontal solar radiation, and zenith luminance to solar altitude. These empirical models are particularly suitable for use in daylighting energy studies since they are based on existing solar data currently available on standard weather tapes.

Treado, S.; Gillette, G.

1983-04-01T23:59:59.000Z

69

Sky Volt | Open Energy Information  

Open Energy Info (EERE)

Volt Volt Jump to: navigation, search Name Sky Volt Facility Sky Volt Sector Wind energy Facility Type Community Wind Facility Status In Service Owner Sky Volt LLC (community owned) Energy Purchaser City of Greenfield - excess to Central Iowa Power Cooperative Location Greenfield IA Coordinates 41.29038343°, -94.48851585° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":41.29038343,"lon":-94.48851585,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

70

RECIPIENT:SkyFuel, Inc.  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

SkyFuel, Inc. SkyFuel, Inc. u.s. DEPARTl.\IIEN T OF ENER qY EERE PROJECT MANAGEMENT CENTER NEPA DETERlvIINATION Page 1 of2 STATE: CO PROJECT TITL E: SkyFuel 8aseload Parabolic Trough Funding Opportunity Announcement Number Procurement I.nstrument N mber NEPA Control Number CID Number Baseload DE-EEOO03584 GFO-OOO3584-002 G03584 Based on my review oftbe information concerning the proposed achon, as NEP] Compliance Officer (authorized under DOE Order 4Sl.tA), I have made the followmg determmatlOn: ex, EA, EIS APPENDIX AND NUMBER: Descnptlon : 83.6 Small-scale Sltmg, construction, modification, operation, and de mmlSSlonlng of faCilities for smaliscale research research and and development projects; conventionallaboralory 0 rations (such as preparation of chemical

71

GLAST Observatory Renamed for Fermi, Reveals Entire Gamma-Ray Sky |  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

GLAST Observatory Renamed for Fermi, Reveals Entire Gamma-Ray Sky GLAST Observatory Renamed for Fermi, Reveals Entire Gamma-Ray Sky GLAST Observatory Renamed for Fermi, Reveals Entire Gamma-Ray Sky August 26, 2008 - 3:20pm Addthis WASHINGTON, D.C. - The U.S. Department of Energy (DOE) and NASA announced today that the Gamma-Ray Large Area Space Telescope (GLAST) has revealed its first all-sky map in gamma rays. The onboard Large Area Telescope's (LAT) all-sky image-which shows the glowing gas of the Milky Way, blinking pulsars and a flaring galaxy billions of light-years away-was created using only 95 hours of "first light" observations, compared with past missions which took years to produce a similar image. Scientists expect the telescope will discover many new pulsars in our own galaxy, reveal powerful

72

Seasonal variations of the clear-sky greenhouse effect: The role of changes in atmospheric temperatures and humidities  

SciTech Connect

This paper presents an analysis of the factors which control the seasonal variations of the clear-sky greenhouse effect, based on satellite observations and radiative transfer simulations. The satellite observations include the radiation budget at the top of the atmosphere from the Earth Radiation Budget Experiment and the total column moisture content derived from the Special Sensor Microwave/Imager. The simulations were performed with the SAMSON system described in an earlier paper, using atmospheric temperatures and humidities from operational analyses produced by the European Centre for Medium Range Weather Forecasts. At low latitudes, the magnitude of the clear-sky greenhouse effect is dominated by the strong thermodynamic link between the total column moisture content of the atmosphere and sea surface temperatures, with minimal seasonal variations. In contrast, at middle to high latitudes there are strong seasonal variations, the clear-sky greenhouse effect being largest in winter and smallest in summer. These variations cannot be explained by the seasonal cycle in the total column moisture content, as this is largest in summer and smallest in winter. The variations are controlled instead by the seasonal changes in atmospheric temperatures. The colder atmosphere in winter enhances the temperature differential between the atmosphere and the sea surface, leading to a larger greenhouse effect despite the lower moisture contents. The magnitude of the clear-sky greenhouse effect is thus controlled by atmospheric humidity at low latitudes, but by atmospheric temperature at middle and high latitudes. These controls are illustrated by results from sensitivity experiments with SAMSON and are interpreted in terms of a simple model.

Webb, M.J.; Slingo, A. [Hadley Centre for Climate Prediction and Research, Berkshire (United Kingdom); Stephens, G.L. [Colorado State Univ., Fort Collins, CO (United States)

1993-12-01T23:59:59.000Z

73

Sloan Digital Sky Survey III: Data Release Eight  

DOE Data Explorer (OSTI)

Building on the legacy of the Sloan Digital Sky Survey (SDSS) and SDSS-II, the SDSS-III Collaboration is working to map the Milky Way, search for extrasolar planets, and solve the mystery of dark energy. SDSS-III's first release, Data Release 8 (DR8), became available in the first half of 2012. DR8 contains all the images ever taken by the SDSS telescope. Together, these images make up the largest color image of the sky ever made. A version of the DR8 image is shown to the right. DR8 also includes measurements for nearly 500 million stars, galaxies, and quasars, and spectra for nearly two million. All of DR8's images, spectra, and measurements are available to anyone online. You can browse through sky images, look up data for individual objects, or search for objects anywhere using any criteria. SDSS-III will collect data from 2008 to 2014, using the 2.5-meter telescope at Apache Point Observatory. SDSS-III consists of four surveys, each focused on a different scientific theme. These four surveys are:

  • Baryon Oscillation Spectroscopic Survey (BOSS)
  • SEGUE-2 (Sloan Extension for Galactic Understanding and Exploration)
  • The APO Galactic Evolution Experiment (APOGEE)
  • The Multi-object APO Radial Velocity Exoplanet Large-area Survey (MARVELS)

[Copied with edits from http://www.sdss3.org/index.php

SDSS Collaboration

74

NERSC's Deep Sky Project Provides a Portal into Data Universe - NERSC  

NLE Websites -- All DOE Office Websites (Extended Search)

Deep Sky Project Deep Sky Project Provides a Portal into Data Universe Deep Sky Project Provides a Portal into Data Universe March 30, 2009 STARLIGHT: This image of the Coma cluster was made by combining over 500 images collected between 2001 and 2007. Every night approximately 3,000 astronomical files flow to the National Energy Research Scientific Computing (NERSC) Center from automated sky scanning systems all over the world for archiving. After a decade of collecting, the center currently holds over 8 million images, making this one of the largest troves of ground-based celestial images available. Now, a multidisciplinary team of astronomers, computer scientists, and engineers from NERSC are collaborating to develop a user-friendly database system and interface to instantly serve up high-resolution cosmic reference

75

Science satellites scour skies for Santa  

NLE Websites -- All DOE Office Websites (Extended Search)

satellites scour skies for Santa Science satellites scour skies for Santa Beginning at 6 a.m. Monday, Dec. 24, scientists will use two advanced science satellites to mark the...

76

The Use of Euclidean Geometric Distance on RGB Color Space for the Classification of Sky and Cloud Patterns  

Science Conference Proceedings (OSTI)

The current work describes the use of multidimensional Euclidean geometric distance (EGD) and Bayesian methods to characterize and classify the sky and cloud patterns present in image pixels. From specific images and using visualization tools, it ...

Sylvio Luiz Mantelli Neto; Aldo von Wangenheim; Enio Bueno Pereira; Eros Comunello

2010-09-01T23:59:59.000Z

77

`blue-sky' science Spending review  

E-Print Network (OSTI)

. Cooling Towers Fiddlers Ferry #12;What are the benefits of `blue-sky' science? At a time where every penny

78

The Transmission of Sunlight through Cloudy Skies: An Analysis Based on Standard Meteorological Information  

Science Conference Proceedings (OSTI)

This work examines the use of standard meteorological information to describe the attenuation of sunlight associated with cloudy skies. Datasets consisting of broadband ultraviolet and total spectrally integrated solar irradiance are available ...

John E. Frederick; H. Donnan Steele

1995-12-01T23:59:59.000Z

79

All Sky Cameras for the characterization of the Cherenkov Telescope Array candidate sites  

E-Print Network (OSTI)

The All Sky Camera (ASC) was developed as a universal device for the monitoring of the night sky quality. Eight ASCs are already installed and measure night sky parameters at eight of the candidate sites of the Cherenkov Telescope Array (CTA) gamma-ray observatory. The ACS system consists of an astronomical CCD camera, a fish eye lens, a control computer and associated electronics. The measurement is carried out during astronomical night. The images are automatically taken every 5 minutes and automatically processed using the control computer of the device. The analysis results are the cloud fraction (the percentage of the sky covered by clouds) and night sky brightness (in mag/arcsec$^{2}$)

Mandát, Dušan; Ebr, Jan; Hrabovský, Miroslav; Prouza, Michael; Bulik, Tomasz; Allekotte, Ingomar

2013-01-01T23:59:59.000Z

80

Sky View Factors from High-Resolution Scanned Fish-eye Lens Photographic Negatives  

Science Conference Proceedings (OSTI)

A computerized method for calculating the sky view factor from fish-eye lens photographic negatives is presented. The images are scanned and stored on CD ROM, each CD holding 100 images. The images can be retrieved at very high resolutions of up ...

Kristina Blennow

1995-12-01T23:59:59.000Z

Note: This page contains sample records for the topic "total sky imager" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


81

The First Data Release of the Sloan Digital Sky Survey  

E-Print Network (OSTI)

The Sloan Digital Sky Survey has validated and made publicly available its First Data Release. This consists of 2099 square degrees of five-band (u, g, r, i, z) imaging data, 186,240 spectra of galaxies, quasars, stars and calibrating blank sky patches selected over 1360 square degrees of this area, and tables of measured parameters from these data. The imaging data go to a depth of r ~ 22.6 and are photometrically and astrometrically calibrated to 2% rms and 100 milli-arcsec rms per coordinate, respectively. The spectra cover the range 3800--9200 A, with a resolution of 1800--2100. Further characteristics of the data are described, as are the data products themselves.

Abazajian, Kevork N; Agüeros, Marcel A; Allam, Sahar S; Anderson, Scott F; Annis, James; Bahcall, Neta A; Baldry, Ivan K; Bastian, Steven; Berlind, Andreas A; Bernardi, Mariangela; Blanton, Michael R; Blythe, Norman; Bochanski, John J; Boroski, William N; Brewington, Howard; Briggs, John W; Brinkmann, J; Brunner, Robert J; Budavari, Tamas; Carey, Larry N; Carr, Michael A; Castander, F J; Chiu, Kuenley; Collinge, Matthew J; Connolly, A J; Covey, Kevin R; Csabai, Istvan; Dodelson, Scott; Doi, Mamoru; Dong, Feng; Eisenstein, Daniel J; Evans, Michael L; Fan, Xiaohui; Feldman, Paul D; Finkbeiner, Douglas P; Friedman, Scott D; Frieman, Joshua A; Fukugita, Masataka; Gal, Roy R; Gillespie, Bruce; Glazebrook, Karl; Gonzalez, Carlos F; Gray, Jim; Grebel, Eva K; Grodnicki, Lauren; Gunn, James E; Gurbani, Vijay K; Hall, Patrick B; Hao, Lei; Harbeck, Daniel; Harris, Frederick H; Harris, Hugh C; Harvanek, Michael J; Hawley, Suzanne L; Heckman, Timothy M; Helmboldt, J F; Hendry, John S; Hennessy, Gregory S; Hindsley, Robert B; Hogg, David W; Holmgren, Donald; Holtzman, Jon A; Homer, Lee; Hui, Lam; Ichikawa, Shin-ichi; Ichikawa, Takashi; Inkmann, John P; Ivezic, Z; Jester, Sebastian; Johnston, David E; Jordan, Beatrice; Jordan, Wendell P; Jorgensen, Anders M; Juric, Mario; Kauffmann, Guinevere; Kent, Stephen M; Kleinman, S J; Knapp, G R; Kniazev, Alexei Yu; Kron, Richard G; Krzesinski, Jurek; Kunszt, Peter Z; Kuropatkin, Nickolai; Lamb, Donald Q; Lampeitl, Hubert; Laubscher, Bryan E; Lee, Brian C; Leger, R French; Li No Lan; Lidz, Adam; Lin, Huan; Loh Yeong Shang; Long, Daniel C; Loveday, Jon; Lupton, Robert H; Malik, Tanu; Margon, Bruce; McGehee, Peregrine M; McKay, Timothy A; Meiksin, Avery; Miknaitis, Gajus A; Moorthy, Bhasker K; Munn, Jeffrey A; Murphy, Tara; Nakajima, Reiko; Narayanan, Vijay K; Nash, Thomas; Neilsen, Erich; Newberg, Heidi Jo; Newman, Peter R; Nichol, Robert C; Nicinski, Tom; Nieto-Santisteban, Maria; Nitta, Atsuko; Odenkirchen, Michael; Okamura, Sadanori; Ostriker, Jeremiah P; Owen, Russell; Padmanabhan, Nikhil; Peoples, John; Pier, Jeffrey R; Pindor, Bartosz; Pope, Adrian C; Quinn, Thomas R; Rafikov, R R; Raymond, Sean N; Richards, Gordon T; Richmond, Michael W; Rix, Hans-Walter; Rockosi, Constance M; Schaye, Joop; Schlegel, David J; Schneider, D P; Schroeder, Joshua; Scranton, Ryan; Sekiguchi, Maki; Seljak, Uros; Sergey, Gary; Sesar, Branimir; Sheldon, E S; Shimasaku, Kazu; Siegmund, Walter A; Silvestri, Nicole M; Sinisgalli, Allan J; Sirko, Edwin; Smith, Allyn J; Smolcic, Vernesa; Snedden, Stephanie A; Stebbins, Albert; Steinhardt, Charles; Stinson, Gregory M; Stoughton, Chris; Strateva, Iskra V; Strauss, Michael A; SubbaRao, Mark; Szalay, Alexander S; Istvan Szapudi; Szkody, Paula; Tasca, Lidia; Tegmark, Max; Thakar, Aniruddha R; Tremonti, Christy A; Tucker, Douglas L; Uomoto, Alan; Vanden Berk, Daniel E; Vandenberg, Jan; Vogeley, Michael S; Voges, Wolfgang; Vogt, Nicole P; Walkowicz, Lucianne M; Weinberg, David H; West, Andrew A; White, Simon D M; Wilhite, Brian C; Willman, Beth; Xu Yong Hong; Yanny, Brian; Yarger, Jean; Yasuda, Naoki; Yip, Ching-Wa; Yocum, D R; York, Donald G; Zakamska, Nadia L; Zheng, Wei; Zibetti, Stefano; Zucker, Daniel B

2003-01-01T23:59:59.000Z

82

Sky in Google Earth: The Next Frontier in Astronomical Data Discovery and Visualization  

E-Print Network (OSTI)

Astronomy began as a visual science, first through careful observations of the sky using either an eyepiece or the naked eye, then on to the preservation of those images with photographic media and finally the digital encoding of that information via CCDs. This last step has enabled astronomy to move into a fully automated era -- where data is recorded, analyzed and interpreted often without any direct visual inspection. Sky in Google Earth completes that circle by providing an intuitive visual interface to some of the largest astronomical imaging surveys covering the full sky. By streaming imagery, catalogs, time domain data, and ancillary information directly to a user, Sky can provide the general public as well as professional and amateur astronomers alike with a wealth of information for use in education and research. We provide here a brief introduction to Sky in Google Earth, focusing on its extensible environment, how it may be integrated into the research process and how it can bring astronomical research to a broader community. With an open interface available on Linux, Mac OS X and Windows, applications developed within Sky are accessible not just within the Google framework but through any visual browser that supports the Keyhole Markup Language. We present Sky as the embodiment of a virtual telescope.

Ryan Scranton; Andrew Connolly; Simon Krughoff; Jeremy Brewer; Alberto Conti; Carol Christian; Brian McLean; Craig Sosin; Greg Coombe; Paul Heckbert

2007-09-05T23:59:59.000Z

83

SkyBuilt Power | Open Energy Information  

Open Energy Info (EERE)

to: navigation, search Name SkyBuilt Power Place Arlington, Virginia Zip 22207 Sector Hydro, Renewable Energy, Solar, Wind energy Product US-based renewable energy system...

84

Sky Vegetables | Open Energy Information  

Open Energy Info (EERE)

Vegetables Vegetables Jump to: navigation, search Name Sky Vegetables Address 45 Rosemary Street, Suite F Place Needham, MA Zip 02494 Sector Solar Website http://www.skyvegetables.com/i Coordinates 42.2882945°, -71.2335259° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":42.2882945,"lon":-71.2335259,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

85

Evaluating Cloud Contamination in Clear-Sky MODIS Terra Daytime Land Surface Temperatures Using Ground-Based Meteorology Station Observations  

Science Conference Proceedings (OSTI)

Environment Canada meteorological station hourly sampled air temperatures Tair at four stations in the southwest Yukon were used to identify cloud contamination in the Moderate Resolution Imaging Spectroradiometer (MODIS) Terra clear-sky daytime ...

Scott N. Williamson; David S. Hik; John A. Gamon; Jeffrey L. Kavanaugh; Saewan Koh

2013-03-01T23:59:59.000Z

86

Einstein and the Daytime Sky - D  

NLE Websites -- All DOE Office Websites (Extended Search)

D. Fun with polarizers D. Fun with polarizers In one respect, Einstein's mathematical analysis (like Rayleigh's earlier one) proves quite accurate, in a way that's easy to demonstrate. This has to do with how the sky's scattered light is polarized. Try looking at a patch of clear sky through one lens of a pair of polarizing sunglasses while you rotate the lens. You'll notice that the sky looks brighter as you look through the lens in some positions, and darker when the lens is in other positions. If the sun is not far from the patch of sky you're looking at, you'll find that the sky looks brightest when the sun is to the left or right of the lens, and darkest when the sun is "above the top" or "below the bottom" of the lens. Why is this? Any kind of wave-whether sound wave, water wave, light wave-is associated

87

BIG SKY CARBON SEQUESTRATION PARTNERSHIP ATLAS THE UNITED S  

NLE Websites -- All DOE Office Websites (Extended Search)

BIG SKY CARBON SEQUESTRATION PARTNERSHIP ATLAS THE UNITED S T A T E S 2012 CARBON UTILIZATION AND STORAGE Big Sky Carbon Sequestration Partnership The Big Sky Carbon Sequestration...

88

SkyPower Pekon Electronics JV | Open Energy Information  

Open Energy Info (EERE)

search Name SkyPower-Pekon Electronics JV Place India Sector Wind energy Product Joint venture for development of Indian wind farms. References SkyPower-Pekon Electronics...

89

Beijing Sky Solar Investment Management Co | Open Energy Information  

Open Energy Info (EERE)

Sky Solar Investment Management Co Jump to: navigation, search Name Beijing Sky Solar Investment & Management Co. Place Beijing, China Sector Solar Product Beijing based company...

90

BIG SKY CARBON SEQUESTRATION PARTNERSHIP  

SciTech Connect

The Big Sky Partnership, led by Montana State University, is comprised of research institutions, public entities and private sectors organizations, and the Confederated Salish and Kootenai Tribes and the Nez Perce Tribe. Efforts during the first performance period fall into four areas: evaluation of sources and carbon sequestration sinks; development of GIS-based reporting framework; designing an integrated suite of monitoring, measuring, and verification technologies; and initiating a comprehensive education and outreach program. At the first Partnership meeting the groundwork was put in place to provide an assessment of capture and storage capabilities for CO{sub 2} utilizing the resources found in the Partnership region (both geological and terrestrial sinks), that would complement the ongoing DOE research. The region has a diverse array of geological formations that could provide storage options for carbon in one or more of its three states. Likewise, initial estimates of terrestrial sinks indicate a vast potential for increasing and maintaining soil C on forested, agricultural, and reclaimed lands. Both options include the potential for offsetting economic benefits to industry and society. Complementary to the efforts on evaluation of sources and sinks is the development of the Big Sky Partnership Carbon Cyberinfrastructure (BSP-CC) and a GIS Road Map for the Partnership. These efforts will put in place a map-based integrated information management system for our Partnership, with transferability to the national carbon sequestration effort. The Partnership recognizes the critical importance of measurement, monitoring, and verification technologies to support not only carbon trading but other policies and programs that DOE and other agencies may want to pursue in support of GHG mitigation. The efforts begun in developing and implementing MMV technologies for geological sequestration reflect this concern. Research is also underway to identify and validate best management practices for soil C in the partnership region, and to design a risk/cost effectiveness framework to make comparative assessments of each viable sink, taking into account economic costs, offsetting benefits, scale of sequestration opportunities, spatial and time dimensions, environmental risks, and long term viability. A series of meetings held in November and December, 2003, have laid the foundations for assessing the issues surrounding the implementation of a market-based setting for soil C credits. These include the impact of existing local, state, and federal permitting issues for terrestrial based carbon sequestration projects, consistency of final protocols and planning standards with national requirements, and alignments of carbon sequestration projects with existing federal and state cost-share programs. Finally, the education and outreach efforts during this performance period have resulted in a comprehensive plan which serves as a guide for implementing the outreach activities under Phase I. The primary goal of this plan is to increase awareness, understanding, and public acceptance of sequestration efforts and build support for a constituent based network which includes the initial Big Sky Partnership and other local and regional businesses and entities.

Susan M. Capalbo

2004-01-04T23:59:59.000Z

91

BIG SKY CARBON SEQUESTRATION PARTNERSHIP  

Science Conference Proceedings (OSTI)

The Big Sky Partnership, led by Montana State University, is comprised of research institutions, public entities and private sectors organizations, and the Confederated Salish and Kootenai Tribes and the Nez Perce Tribe. Efforts during the second performance period fall into four areas: evaluation of sources and carbon sequestration sinks; development of GIS-based reporting framework; designing an integrated suite of monitoring, measuring, and verification technologies; and initiating a comprehensive education and outreach program. At the first two Partnership meetings the groundwork was put in place to provide an assessment of capture and storage capabilities for CO{sub 2} utilizing the resources found in the Partnership region (both geological and terrestrial sinks), that would complement the ongoing DOE research. The region has a diverse array of geological formations that could provide storage options for carbon in one or more of its three states. Likewise, initial estimates of terrestrial sinks indicate a vast potential for increasing and maintaining soil C on forested, agricultural, and reclaimed lands. Both options include the potential for offsetting economic benefits to industry and society. Steps have been taken to assure that the GIS-based framework is consistent among types of sinks within the Big Sky Partnership area and with the efforts of other western DOE partnerships. Efforts are also being made to find funding to include Wyoming in the coverage areas for both geological and terrestrial sinks and sources. The Partnership recognizes the critical importance of measurement, monitoring, and verification technologies to support not only carbon trading but all policies and programs that DOE and other agencies may want to pursue in support of GHG mitigation. The efforts begun in developing and implementing MMV technologies for geological sequestration reflect this concern. Research is also underway to identify and validate best management practices for soil C in the partnership region, and to design a risk/cost effectiveness framework to make comparative assessments of each viable sink, taking into account economic costs, offsetting benefits, scale of sequestration opportunities, spatial and time dimensions, environmental risks, and long term viability. Scientifically sound information on MMV is critical for public acceptance of these technologies. Two key deliverables were completed this quarter--a literature review/database to assess the soil carbon on rangelands, and the draft protocols, contracting options for soil carbon trading. To date, there has been little research on soil carbon on rangelands, and since rangeland constitutes a major land use in the Big Sky region, this is important in achieving a better understanding of terrestrial sinks. The protocols developed for soil carbon trading are unique and provide a key component of the mechanisms that might be used to efficiently sequester GHG and reduce CO{sub 2} concentrations. Progress on other deliverables is noted in the PowerPoint presentations. A series of meetings held during the second quarter have laid the foundations for assessing the issues surrounding the implementation of a market-based setting for soil C credits. These meetings provide a connection to stakeholders in the region and a basis on which to draw for the DOE PEIS hearings. Finally, the education and outreach efforts have resulted in a comprehensive plan and process which serves as a guide for implementing the outreach activities under Phase I. While we are still working on the public website, we have made many presentations to stakeholders and policy makers, connections to other federal and state agencies concerned with GHG emissions, climate change, and efficient and environmentally-friendly energy production. In addition, we have laid plans for integration of our outreach efforts with the students, especially at the tribal colleges and at the universities involved in our partnership. This includes collaboration with the film and media arts departments at MSU, with outreach effort

Susan M. Capalbo

2004-06-01T23:59:59.000Z

92

BIG SKY CARBON SEQUESTRATION PARTNERSHIP  

SciTech Connect

The Big Sky Carbon Sequestration Partnership, led by Montana State University, is comprised of research institutions, public entities and private sectors organizations, and the Confederated Salish and Kootenai Tribes and the Nez Perce Tribe. Efforts under this Partnership in Phase I fall into four areas: evaluation of sources and carbon sequestration sinks that will be used to determine the location of pilot demonstrations in Phase II; development of GIS-based reporting framework that links with national networks; designing an integrated suite of monitoring, measuring, and verification technologies and assessment frameworks; and initiating a comprehensive education and outreach program. The groundwork is in place to provide an assessment of storage capabilities for CO{sub 2} utilizing the resources found in the Partnership region (both geological and terrestrial sinks), that would complement the ongoing DOE research. Efforts are underway to showcase the architecture of the GIS framework and initial results for sources and sinks. The region has a diverse array of geological formations that could provide storage options for carbon in one or more of its three states. Likewise, initial estimates of terrestrial sinks indicate a vast potential for increasing and maintaining soil C on forested, agricultural, and reclaimed lands. Both options include the potential for offsetting economic benefits to industry and society. Steps have been taken to assure that the GIS-based framework is consistent among types of sinks within the Big Sky Partnership area and with the efforts of other western DOE partnerships. The Partnership recognizes the critical importance of measurement, monitoring, and verification technologies to support not only carbon trading but all policies and programs that DOE and other agencies may want to pursue in support of GHG mitigation. The efforts in developing and implementing MMV technologies for geological sequestration reflect this concern. Research is also underway to identify and validate best management practices for soil C in the Partnership region, and to design a risk/cost effectiveness framework to make comparative assessments of each viable sink, taking into account economic costs, offsetting benefits, scale of sequestration opportunities, spatial and time dimensions, environmental risks, and long-term viability. Scientifically sound information on MMV is critical for public acceptance of these technologies.

Susan M. Capalbo

2005-01-31T23:59:59.000Z

93

The Cosmic Lens All-Sky Survey: I. Source selection and observations  

E-Print Network (OSTI)

The Cosmic Lens All-Sky Survey (CLASS) is an international collaborative program which has obtained high-resolution radio images of over 10000 flat-spectrum radio sources in order to create the largest and best studied statistical sample of radio-loud gravitationally lensed systems. With this survey, combined with detailed studies of the lenses found therein, constraints can be placed on the expansion rate, matter density, and dark energy (e.g. cosmological constant, quintessence) content of the Universe that are complementary to and independent of those obtained through other methods. CLASS is aimed at identifying lenses where multiple images are formed from compact flat-spectrum radio sources, which should be easily identifiable in the radio maps. Because CLASS is radio-based, dust obscuration in lensing galaxies is not a factor, and the relative insensitivity of the instrument to environmental conditions leads to nearly uniform sensitivity and resolution over the entire survey. In four observing seasons from 1994-1999, CLASS has observed 13783 radio sources with the VLA at 8.4 GHz at 0.2 arcsecond resolution. When combined with the JVAS survey, the CLASS sample contains over 16,000 images. A complete sample of 11685 flat-spectrum sources was observed, selected from GB6 catalogue at 4.85 GHz and the NVSS at 1.4 GHz. So far, CLASS has found 16 new gravitational lens systems, and the JVAS/CLASS survey contains a total of 22 lenses. (Abridged)

S. T. Myers; N. J. Jackson; I. W. A. Browne; A. G. de Bruyn; T. J. Pearson; A. C. S. Readhead; P. N. Wilkinson; A. D. Biggs; R. D. Blandford; C. D. Fassnacht; L. V. E. Koopmans; D. R. Marlow; J. P. McKean; M. A. Norbury; P. M. Phillips; D. Rusin; M. C. Shepherd; C. M. Sykes

2002-11-05T23:59:59.000Z

94

Sloan Digital Sky Survey's (SDSS) Supernova Data and the Stripe82 Database  

DOE Data Explorer (OSTI)

The Sloan Digital Sky Survey (SDSS) is a series of three interlocking imaging and spectroscopic surveys, carried out over an eight-year period with a dedicated 2.5m telescope located at Apache Point Observatory in Southern New Mexico. The seventh data release (DR7) from the SDSS represents a completion of the overall, original project, though SDSS-III began in 2008 and will build upon the knowledge gained already.

The SDSS Supernova Survey was one of those three components of SDSS and SDSS-II, a 3-year extension of the original SDSS that operated from July 2005 to July 2008. The Supernova Survey was a time-domain survey, involving repeat imaging of the same region of sky every other night, weather permitting. The primary scientific motivation was to detect and measure light curves for several hundred supernovae through repeat scans of the SDSS Southern equatorial stripe 82 (about 2.5? wide by ~120? long). Over the course of three 3-month campaigns SDSS-II SN discovered and measured multi-band lightcurves for ~500 spectroscopically confirmed Type Ia supernovae in the redshift range z=0.05-0.4. In addition, the project harvested a few hundred light curves for SNe Ia and discovered about 80 spectroscopically confirmed core-collapse supernovae (supernova types Ib/c and II).[taken and edited from Supernova Survey page at http://www.sdss.org/supernova/aboutsupernova.html]

All three surveys summarized are:

  • Legacy: an imaging survey in five bands over a contiguous 7646 deg2 high-latitude elliptical region in the Northern Galactic Cap, plus an additional 750 deg2 in the Southern Galactic Cap, together with spectroscopy of complete samples of galaxies and quasars covering about 8200 square degrees. The total imaging area in the Legacy survey is 8423 square degrees.
  • SEGUE (Sloan Extension for Galactic Understanding and Exploration): additional imaging of 3240 deg2 of sky at lower Galactic latitudes, together with spectroscopy of 240,000 stars towards 200 sightlines covering 1400 square degrees (spread throughout the Legacy and SEGUE imaging footprints), to study the structure of the Milky Way.
  • Supernova: the equivalent of about 80 repeated imaging scans of the Southern Equatorial Stripe (ra > 310 or ra < 59; -1.25 > dec < 1.25) obtained in variable weather conditions (some clouds) to search for supernovae in the redshift range 0.1 < z < 0.4.
The catalog derived from the images includes more than 350 million celestial objects, and spectra of 930,000 galaxies, 120,000 quasars, and 460,000 stars. The data are fully calibrated and reduced, carefully checked for quality, and publically accessible through efficient databases. The data have been publicly released in a series of annual data releases, culminating in the final data release, DR7.[Copied from http://www.sdss.org/dr7/start/aboutdr7.html

SDSS Collaboration

95

Detection of occult infection following total joint arthroplasty using sequential technetium-99m HDP bone scintigraphy and indium-111 WBC imaging  

SciTech Connect

Preoperative exclusion or confirmation of periprosthetic infection is essential for correct surgical management of patients with suspected infected joint prostheses. The sensitivity and specificity of (/sup 111/In)WBC imaging in the diagnosis of infected total joint prostheses was examined in 28 patients and compared with sequential (/sup 99m/Tc)HDP/(/sup 111/In)WBC scintigraphy and aspiration arthrography. The sensitivity of preoperative aspiration cultures was 12%, with a specificity of 81% and an accuracy of 58%. The sensitivity of (/sup 111/In)WBC imaging alone was 100%, with a specificity of 50% and an accuracy of 65%. When correlated with the bone scintigraphy and read as sequential (/sup 99m/Tc)HDP/(/sup 111/In)WBC imaging, the sensitivity was 88%, specificity 95%, and accuracy 93%. This study demonstrates that (/sup 111/In)WBC imaging is an extremely sensitive imaging modality for the detection of occult infection of joint prostheses. It also demonstrates the necessity of correlating (/sup 111/In)WBC images with (/sup 99m/Tc)HDP skeletal scintigraphy in the detection of occult periprosthetic infection.

Johnson, J.A.; Christie, M.J.; Sandler, M.P.; Parks, P.F. Jr.; Homra, L.; Kaye, J.J.

1988-08-01T23:59:59.000Z

96

Big Sky Wind Facility | Open Energy Information  

Open Energy Info (EERE)

Sky Wind Facility Sky Wind Facility Jump to: navigation, search Name Big Sky Wind Facility Facility Big Sky Wind Facility Sector Wind energy Facility Type Commercial Scale Wind Facility Status In Service Owner Edison Mission Energy Developer Edison Mission Energy Energy Purchaser PJM Market Location Bureau County IL Coordinates 41.579967°, -89.46177° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":41.579967,"lon":-89.46177,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

97

SkyFuel Inc | Open Energy Information  

Open Energy Info (EERE)

SkyFuel Inc SkyFuel Inc Jump to: navigation, search Logo: SkyFuel Inc Name SkyFuel Inc Address 18300 W Highway 72 Place Arvada, Colorado Zip 80007 Sector Solar Product Solar thermal power Website http://www.skyfuel.com/ Coordinates 39.862942°, -105.206509° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":39.862942,"lon":-105.206509,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

98

North Sky River | Open Energy Information  

Open Energy Info (EERE)

Sky River Sky River Jump to: navigation, search Name North Sky River Facility North Sky River Sector Wind energy Facility Type Commercial Scale Wind Facility Status In Service Owner NextEra Energy Resources Developer NextEra Energy Resources Energy Purchaser Pacific Gas & Electric Location Tehachapi CA Coordinates 35.335578°, -118.186347° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":35.335578,"lon":-118.186347,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

99

Einstein and the Daytime Sky - C  

Office of Scientific and Technical Information (OSTI)

Einstein "Einstein and the Daytime Sky" (continued) A B C D C. Imitation of opal Since Einstein was addressing a more general question than the color of the atmosphere, his results...

100

Sky Power LLC | Open Energy Information  

Open Energy Info (EERE)

Power LLC Place Portland, Oregon Zip 97204 Sector Wind energy Product Developer of a high-altitude wind turbine technology. References Sky Power LLC1 LinkedIn Connections...

Note: This page contains sample records for the topic "total sky imager" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


101

Sky River Wind Farm | Open Energy Information  

Open Energy Info (EERE)

Sky River Wind Farm Sky River Wind Farm Jump to: navigation, search Name Sky River Wind Farm Facility Sky River Sector Wind energy Facility Type Commercial Scale Wind Facility Status In Service Owner NextEra Energy Resources Developer Zond Systems Energy Purchaser Southern California Edison Co Location Tehachapi CA Coordinates 35.07665°, -118.25529° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":35.07665,"lon":-118.25529,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

102

Big Sky Carbon Sequestration Partnership  

Science Conference Proceedings (OSTI)

The Big Sky Carbon Sequestration Partnership, led by Montana State University, is comprised of research institutions, public entities and private sectors organizations, and the Confederated Salish and Kootenai Tribes and the Nez Perce Tribe. Efforts under this Partnership in Phase I fall into four areas: evaluation of sources and carbon sequestration sinks that will be used to determine the location of pilot demonstrations in Phase II; development of GIS-based reporting framework that links with national networks; designing an integrated suite of monitoring, measuring, and verification technologies and assessment frameworks; and initiating a comprehensive education and outreach program. The groundwork is in place to provide an assessment of storage capabilities for CO2 utilizing the resources found in the Partnership region (both geological and terrestrial sinks), that would complement the ongoing DOE research agenda in Carbon Sequestration. The region has a diverse array of geological formations that could provide storage options for carbon in one or more of its three states. Likewise, initial estimates of terrestrial sinks indicate a vast potential for increasing and maintaining soil C on forested, agricultural, and reclaimed lands. Both options include the potential for offsetting economic benefits to industry and society. Steps have been taken to assure that the GIS-based framework is consistent among types of sinks within the Big Sky Partnership area and with the efforts of other DOE regional partnerships. The Partnership recognizes the critical importance of measurement, monitoring, and verification technologies to support not only carbon trading but all policies and programs that DOE and other agencies may want to pursue in support of GHG mitigation. The efforts in developing and implementing MMV technologies for geological sequestration reflect this concern. Research is also underway to identify and validate best management practices for soil C in the Partnership region, and to design a risk/cost effectiveness framework to make comparative assessments of each viable sink, taking into account economic costs, offsetting benefits, scale of sequestration opportunities, spatial and time dimensions, environmental risks, and long-term viability. Scientifically sound MMV is critical for public acceptance of these technologies. Deliverables for the 7th Quarter reporting period include (1) for the geological efforts: Reports on Technology Needs and Action Plan on the Evaluation of Geological Sinks and Pilot Project Deployment (Deliverables 2 and 3), and Report on the Feasibility of Mineralization Trapping in the Snake River Plain Basin (Deliverable 14); (2) for the terrestrial efforts: Report on the Evaluation of Terrestrial Sinks and a Report of the Best Production Practices for Soil C Sequestration (Deliverables 8 and 15). In addition, the 7th Quarter activities for the Partnership included further development of the proposed activities for the deployment and demonstration phase of the carbon sequestration pilots including geological and terrestrial pilots, expansion of the Partnership to encompass regions and institutions that are complimentary to the steps we have identified, building greater collaborations with industry and stakeholders in the region, contributed to outreach efforts that spanned all partnerships, co-authorship on the Carbon Capture and Separation report, and developed a regional basis to address future energy opportunities in the region. The deliverables and activities are discussed in the following sections and appended to this report. The education and outreach efforts have resulted in a comprehensive plan which serves as a guide for implementing the outreach activities under Phase I. The public website has been expanded and integrated with the GIS carbon atlas. We have made presentations to stakeholders and policy makers including two tribal sequestration workshops, and made connections to other federal and state agencies concerned with GHG emissions, climate change, and efficient and environmental

Susan M. Capalbo

2005-11-01T23:59:59.000Z

103

Big Sky Carbon Sequestration Partnership  

SciTech Connect

The Big Sky Carbon Sequestration Partnership, led by Montana State University, is comprised of research institutions, public entities and private sectors organizations, and the Confederated Salish and Kootenai Tribes and the Nez Perce Tribe. Efforts under this Partnership in Phase I are organized into four areas: (1) Evaluation of sources and carbon sequestration sinks that will be used to determine the location of pilot demonstrations in Phase II; (2) Development of GIS-based reporting framework that links with national networks; (3) Design of an integrated suite of monitoring, measuring, and verification technologies, market-based opportunities for carbon management, and an economic/risk assessment framework; (referred to below as the Advanced Concepts component of the Phase I efforts) and (4) Initiation of a comprehensive education and outreach program. As a result of the Phase I activities, the groundwork is in place to provide an assessment of storage capabilities for CO{sub 2} utilizing the resources found in the Partnership region (both geological and terrestrial sinks), that complements the ongoing DOE research agenda in Carbon Sequestration. The geology of the Big Sky Carbon Sequestration Partnership Region is favorable for the potential sequestration of enormous volume of CO{sub 2}. The United States Geological Survey (USGS 1995) identified 10 geologic provinces and 111 plays in the region. These provinces and plays include both sedimentary rock types characteristic of oil, gas, and coal productions as well as large areas of mafic volcanic rocks. Of the 10 provinces and 111 plays, 1 province and 4 plays are located within Idaho. The remaining 9 provinces and 107 plays are dominated by sedimentary rocks and located in the states of Montana and Wyoming. The potential sequestration capacity of the 9 sedimentary provinces within the region ranges from 25,000 to almost 900,000 million metric tons of CO{sub 2}. Overall every sedimentary formation investigated has significant potential to sequester large amounts of CO{sub 2}. Simulations conducted to evaluate mineral trapping potential of mafic volcanic rock formations located in the Idaho province suggest that supercritical CO{sub 2} is converted to solid carbonate mineral within a few hundred years and permanently entombs the carbon. Although MMV for this rock type may be challenging, a carefully chosen combination of geophysical and geochemical techniques should allow assessment of the fate of CO{sub 2} in deep basalt hosted aquifers. Terrestrial carbon sequestration relies on land management practices and technologies to remove atmospheric CO{sub 2} where it is stored in trees, plants, and soil. This indirect sequestration can be implemented today and is on the front line of voluntary, market-based approaches to reduce CO{sub 2} emissions. Initial estimates of terrestrial sinks indicate a vast potential for increasing and maintaining soil Carbon (C) on rangelands, and forested, agricultural, and reclaimed lands. Rangelands can store up to an additional 0.05 mt C/ha/yr, while the croplands are on average four times that amount. Estimates of technical potential for soil sequestration within the region in cropland are in the range of 2.0 M mt C/yr over 20 year time horizon. This is equivalent to approximately 7.0 M mt CO{sub 2}e/yr. The forestry sinks are well documented, and the potential in the Big Sky region ranges from 9-15 M mt CO{sub 2} equivalent per year. Value-added benefits include enhanced yields, reduced erosion, and increased wildlife habitat. Thus the terrestrial sinks provide a viable, environmentally beneficial, and relatively low cost sink that is available to sequester C in the current time frame. The Partnership recognizes the critical importance of measurement, monitoring, and verification technologies to support not only carbon trading but all policies and programs that DOE and other agencies may want to pursue in support of GHG mitigation. The efforts in developing and implementing MMV technologies for geological and terrestrial sequestration re

Susan Capalbo

2005-12-31T23:59:59.000Z

104

Google Sky, WorldWide Telescope & Celestia in the  

E-Print Network (OSTI)

Google Sky, WorldWide Telescope & Celestia in the Undergraduate Non-Science Major Classroom & Lab of Public Outreach Dept.Astronomy & Astrophysics University of Chicago Sky #12;Google Sky, World interactive labs and self-directed modules that utilize new, emerging, software tools, specifically Google Sky

Collar, Juan I.

105

Cloudy Sky Version of Bird's Broadband Hourly Clear Sky Model (Presentation)  

DOE Green Energy (OSTI)

Presentation on Bird's Broadband Hourly Clear Sky Model given by NREL's Daryl Myers at SOLAR 2006. The objective of this report is to produce ''all sky'' modeled hourly solar radiation. This is based on observed cloud cover data using a SIMPLE model.

Myers, D.

2006-08-01T23:59:59.000Z

106

Image Resources  

NLE Websites -- All DOE Office Websites (Extended Search)

Mosaic of earth and sky images Mosaic of earth and sky images Image Resources Free image resources covering energy, environment, and general science. Here are some links to energy- and environment-related photographic databases. Berkeley Lab Photo Archive Berkeley Lab's online digital image collection. National Science Digital Library (NSDL) NSDL is the Nation's online library for education and research in science, technology, engineering, and mathematics. The World Bank Group Photo Library A distinctive collection of over 11,000 images that illustrate development through topics such as Agriculture, Education, Environment, Health, Trade and more. Calisphere Compiles the digital collections of libraries, museums, and cultural heritage organizations across California, and organizes them by theme, such

107

SolarSkies | Open Energy Information  

Open Energy Info (EERE)

SolarSkies SolarSkies Jump to: navigation, search Name SolarSkies Address 106 Donovan Drive Place Alexandria, Minnesota Zip 56308 Country United States Sector Solar Coordinates 45.88897°, -95.3536576° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":45.88897,"lon":-95.3536576,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

108

Data acquisition systems for the Sloan Digital Sky Survey  

SciTech Connect

The Sloan Digital Sky Survey (SDSS) will image {Pi} steradians about the north galactic cap in five filters, and acquire one million spectra using a dedicated 2.5 meter telescope at the Apache Point Observatory in New Mexico. The authors describe the data acquisition system for the survey`s three main detectors: an imaging camera, mounting 54 Tektronix charge-coupled devices (CCD); a pair of spectrographs, each mounting a pair of CCDs; and a smaller monitor telescope camera. The authors describe the system`s hardware and software architecture, and relate it to the survey`s special requirements for high reliability and need to understand its instrumentation in order to produce a consistent survey over a five year period.

Petravick, D.; Berman, E.; MacKinnon, B.; Nicinski, T.; Pordes, R.; Sergey, G.; Rechenmacher, R.; Annis, J.; Kent, S.; McKay, T.; Stoughton, C.; Husby, D.

1994-03-01T23:59:59.000Z

109

A Satellite-Derived Climate-Quality Data Record of the Clear-Sky Surface Temperature of the Greenland Ice Sheet  

Science Conference Proceedings (OSTI)

The authors have developed a climate-quality data record of the clear-sky surface temperature of the Greenland Ice Sheet using the Moderate-Resolution Imaging Spectroradiometer (MODIS) ice-surface temperature (IST) algorithm. Daily and monthly ...

Dorothy K. Hall; Josefino C. Comiso; Nicolo E. DiGirolamo; Christopher A. Shuman; Jeffrey R. Key; Lora S. Koenig

2012-07-01T23:59:59.000Z

110

Optical Sky Brightness at Cerro Tololo Inter-American Observatory from 1992 to 2006  

E-Print Network (OSTI)

We present optical UBVRI sky brightness measures from 1992 through 2006. The data are based on CCD imagery obtained with the CTIO 0.9-m, 1.3-m, and 1.5-m telescopes. The B- and V-band data are in reasonable agreement with measurements previously made at Mauna Kea, though on the basis of a small number of images per year there are discrepancies for the years 1992 through 1994. Our CCD-based data are not significantly different than values obtained at Cerro Paranal. We find that the yearly averages of V-band sky brightness are best correlated with the 10.7-cm solar flux taken 5 days prior to the sky brightness measures. This implies an average speed of 350 km/sec for the solar wind. While we can measure an enhancement of the night sky levels over La Serena 10 degrees above the horizon, at elevation angles above 45 degrees we find no evidence that the night sky brightness at Cerro Tololo is affected by artificial light of nearby towns and cities.

Krisciunas, Kevin; Sanhueza, Pedro; Schwarz, Hugo E; Semler, Dylan R; Suntzeff, Nicholas B; Vera, Sergio

2007-01-01T23:59:59.000Z

111

Desert Sky Wind Farm | Open Energy Information  

Open Energy Info (EERE)

Desert Sky Wind Farm Desert Sky Wind Farm Jump to: navigation, search Name Desert Sky Wind Farm Facility Desert Sky Wind Farm Sector Wind energy Facility Type Commercial Scale Wind Facility Status In Service Owner American Electric Power Developer GE Energy Energy Purchaser City of San Antonio Texas (Utility Company) Location Pecos County TX Coordinates 30.926626°, -102.100067° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":30.926626,"lon":-102.100067,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

112

SkyFuel | Open Energy Information  

Open Energy Info (EERE)

SkyFuel SkyFuel Jump to: navigation, search Logo: SkyFuel Name SkyFuel Address 18300 West Highway 72 Place Arvada, Colorado Zip 80007 Sector Solar Product Parabolic Trough Solar Collector Year founded 2007 Number of employees 11-50 Phone number 303.330.0276 Website http://www.skyfuel.com Coordinates 39.8630176°, -105.2064482° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":39.8630176,"lon":-105.2064482,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

113

American Clean Skies Foundation | Open Energy Information  

Open Energy Info (EERE)

Skies Foundation Skies Foundation Jump to: navigation, search Logo: American Clean Skies Foundation Name American Clean Skies Foundation Address 750 1st Street NE, Suite 1100 Place Washington, DC Zip 20002 Region Northeast - NY NJ CT PA Area Year founded 2007 Phone number (202) 682-6294 Website http://www.cleanskies.org/ Coordinates 38.899704°, -77.007068° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":38.899704,"lon":-77.007068,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

114

Treaty on Open Skies sensor technologies with potential international safeguards applications  

SciTech Connect

The Treaty on Open Skies is a precedent-setting agreement that allows signatory states to fly aircraft over each other`s territory with sensor systems. The purpose of the Treaty is to improve confidence and security with respect to military activities of the signatories. This paper reviews the sensor technology that is currently allowed by the Treaty on Open Skies and potential future sensor technology. The Treaty on Open Skies does have provisions to allow for the improvement of the technology of the current sensor systems and for the proposal of new sensors after a period of time. This can occur only after the Treaty has been ratified and has entered into force. If this regime was to be used for other than Treaty on Open Skies applications some modifications to the allowed sensor technology should be examined. This paper presents some ideas on potential improvements to existing allowed sensor technology as well as some suggested new advanced sensor systems that would be useful for future potential monitoring of safeguard`s related activities. This paper addresses advanced imaging sensors and non-imaging sensors for potential use in aerial remote sensing roles that involve international data sharing.

Sandoval, M.B.

1996-12-01T23:59:59.000Z

115

Cosmological Simulations for Large-Scale Sky Surveys | Argonne Leadership  

NLE Websites -- All DOE Office Websites (Extended Search)

Instantaneous velocity magnitude in a flow through an open valve in a valve/piston assembly. Instantaneous velocity magnitude in a flow through an open valve in a valve/piston assembly. Instantaneous velocity magnitude in a flow through an open valve in a valve/piston assembly. Christos Altantzis, MIT, and Martin Schmitt, LAV. All the images were generated from their work at LAV. Cosmological Simulations for Large-Scale Sky Surveys PI Name: Christos Frouzakis PI Email: frouzakis@lav.mavt.ethz.ch Institution: Swiss Federal Institute of Technology Zurich Allocation Program: INCITE Allocation Hours at ALCF: 100 Million Year: 2014 Research Domain: Chemistry The combustion of coal and petroleum-based fuels supply most of the energy needed to meet the world's transportation and power generation demands. To address the anticipated petroleum shortage, along with increasing energy

116

Blue Sky Bio Fuels | Open Energy Information  

Open Energy Info (EERE)

Bio Fuels Bio Fuels Jump to: navigation, search Name Blue Sky Bio-Fuels Place Oakland, California Zip 94602 Product Blue Sky owns and operates a biodiesel plant in Idaho with a capacity of 37.9mLpa (10m gallons annually). Coordinates 37.805065°, -122.273024° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":37.805065,"lon":-122.273024,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

117

NETL: News Release - Eyes in the Sky...  

NLE Websites -- All DOE Office Websites (Extended Search)

August 28, 2003 August 28, 2003 Eyes in the Sky... Remote Sensing Technology Maps Flow of Groundwater from the Air Photo: Remote Sensor Suspended Beneath a Helicopter Detects Groundwater Beneath the Surface DOE is using remote sensors suspended from helicopters to map the flow of groundwater that may be affected by energy projects. In four states this past spring and summer, eyes have turned skyward as helicopters zig-zagged over hills and valleys, towing torpedo- or spiderweb-like contraptions that conjured up thoughts of Superman - "Look! Up in the sky!" But the "x-ray vision" in this case isn't comic-book fantasy. Instead, using aerial remote sensing techniques, researchers working with the U.S. Department of Energy are "seeing" through solid ground to create

118

New Sky Energy | Open Energy Information  

Open Energy Info (EERE)

New Sky Energy New Sky Energy Place Boulder, Colorado Sector Carbon Product Colorado-based startup that focuses on using chemical technology to convert carbon dioxide to usable outputs. Coordinates 42.74962°, -109.714163° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":42.74962,"lon":-109.714163,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

119

Einstein and the Daytime Sky - A  

NLE Websites -- All DOE Office Websites (Extended Search)

The distinction between a fluid's liquid and gaseous phases breaks down at a certain temperature and pressure; when illuminated under these conditions, the fluid looks milky white, like a common opal. Einstein found how this relates to the reason the sky is blue. A B C D A. A path with a detour If you look at many artists' renderings of Albert Einstein, you are likely to find some that depict Einstein with some representation of the universe as a whole, or black holes, or other objects in deep space. Because many such pictures exist, we may, somewhat unconsciously, associate Einstein with the dark nighttime sky. This is a quite reasonable association, since Einstein's theories of space and time deal with the universe as a whole and with certain astrophysical

120

Blue Sky Optimum Energy | Open Energy Information  

Open Energy Info (EERE)

Optimum Energy Optimum Energy Jump to: navigation, search Name Blue Sky Optimum Energy Place Buffalo, New York Product Blue Sky offers a processing system to produce biodiesel at a cheaper price. Coordinates 42.88544°, -78.878464° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":42.88544,"lon":-78.878464,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

Note: This page contains sample records for the topic "total sky imager" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


121

Remote sensing of total integrated water vapor, wind speed, and cloud liquid water over the ocean using the Special Sensor Microwave/Imager (SSM/I)  

E-Print Network (OSTI)

A modified D-matrix retrieval method is the basis of the refined total integrated water vapor (TIWV), total integrated cloud liquid water (CLW), and surface wind speed (WS) retrieval methods that are developed. The 85 GHZ polarization difference is used to restrict the application of the geophysical retrieval algorithms which are developed to handle specific atmospheric absorptive situations. An improved semi-empirical sea surface emissivity model is integrated into this refined D-matrix procedure that is being developed for the Advanced Microwave Sounding Radiometer (AMSR). The purpose of this work is to test the refined geophysical parameter retrieval methods using data from the Special Sensor Microwave / Imager (SSM/I). When comparing the statistical performance of the TIWV, WS, and CLW retrieval methods presented to the statistical performance of published retrieval methods for each geophysical parameter, the retrieval methods developed for this study perform only slightly better. However, it is demonstrated that the new retrieval methods are more physically valid than the comparison retrieval methods. The utilization of the polarization difference of the 85 GHZ channels to restrict the application of specifically-derived retrieval algorithms proves to be a valuable and reliable geophysical parameter retrieval tool.

Manning, Norman Willis William

1997-01-01T23:59:59.000Z

122

Infrared Sky Brightness Monitors for Antarctica  

E-Print Network (OSTI)

. Two sky brightness monitorsone for the near-infrared and one for the mid-infraredhave been developed for site survey work in Antarctica. The instruments, which we refer to as the NISM (Near-Infrared Sky Monitor) and the MISM (Mid-Infrared Sky Monitor), are part of a suite of instruments being deployed in the Automated Astrophysical Site-Testing Observatory (AASTO). The chief design constraints include reliable, autonomous operation, low power consumption, and of course the ability to operate under conditions of extreme cold. The instruments are currently operational at the Amundsen-Scott South Pole Station, prior to deployment at remote, unattended sites on the high antarctic plateau. 1. INTRODUCTION The antarctic plateau is recognized as having the potential to provide some of the best astronomical observing conditions on earth (see, e.g., Burton et al. 1994). Almost all the site testing to date has been carried out at the South Pole, where it has already been demonstrated t...

Storey Ashley Boccas; J. W. V. Storey; M. C. B. Ashley; M. Boccas; M. A. Phillips; A. E. T. Schinckel

1999-01-01T23:59:59.000Z

123

Conergy SkyPower JV | Open Energy Information  

Open Energy Info (EERE)

SkyPower JV SkyPower JV Jump to: navigation, search Name Conergy & SkyPower JV Place Canada Sector Solar Product Canada-based solar project developer. References Conergy & SkyPower JV[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Conergy & SkyPower JV is a company located in Canada . References ↑ "Conergy & SkyPower JV" Retrieved from "http://en.openei.org/w/index.php?title=Conergy_SkyPower_JV&oldid=343842" Categories: Clean Energy Organizations Companies Organizations Stubs What links here Related changes Special pages Printable version Permanent link Browse properties 429 Throttled (bot load) Error 429 Throttled (bot load) Throttled (bot load)

124

Cogenra Solar formerly SkyWatch Energy | Open Energy Information  

Open Energy Info (EERE)

Cogenra Solar formerly SkyWatch Energy Cogenra Solar formerly SkyWatch Energy Jump to: navigation, search Name Cogenra Solar (formerly SkyWatch Energy) Place Mountain View, California Zip 94043 Sector Solar Product California-based and founded by a former Applied Materials executive, Cogenra Solar is a stealth mode solar company. References Cogenra Solar (formerly SkyWatch Energy)[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Cogenra Solar (formerly SkyWatch Energy) is a company located in Mountain View, California . References ↑ "Cogenra Solar (formerly SkyWatch Energy)" Retrieved from "http://en.openei.org/w/index.php?title=Cogenra_Solar_formerly_SkyWatch_Energy&oldid=343766"

125

Software standards, methods and quality control for the Sloan Digital Sky Survey  

SciTech Connect

The Sloan Digital Sky Survey (SDSS) Collaboration involves upwards of 50 scientists, many of whom are involved in the development and use of the software needed to acquire, process and archive the image and spectroscopic data sets. Fermilab has major responsibilities in the development and maintenance of the project`s software and for its software engineering practices. The authors report on the standards and methodologies they have developed in support of these activities.

Pordes, R.; Berman, E.; Petravick, D. [Fermi National Accelerator Lab., Batavia, IL (United States). Computing Div.] [and others

1995-10-01T23:59:59.000Z

126

The Animated Gamma-ray Sky Revealed by the Fermi Gamma-ray Space Telescope  

SciTech Connect

The Fermi Gamma-ray Space Telescope has been observing the sky in gamma-rays since August 2008. In addition to breakthrough capabilities in energy coverage (20 MeV-300 GeV) and angular resolution, the wide field of view of the Large Area Telescope enables observations of 20% of the sky at any instant, and of the whole sky every three hours. It has revealed a very animated sky with bright gamma-ray bursts flashing and vanishing in minutes, powerful active galactic nuclei flaring over hours and days, many pulsars twinkling in the Milky Way, and X-ray binaries shimmering along their orbit. Most of these variable sources had not been seen by the Fermi predecessor, EGRET, and the wealth of new data already brings important clues to the origin of the high-energy emission and particles powered by the compact objects. The telescope also brings crisp images of the bright gamma-ray emission produced by cosmic-ray interactions in the interstellar medium, thus allowing to measure the cosmic nuclei and electron spectra across the Galaxy, to weigh interstellar clouds, in particular in the dark-gas phase. The telescope sensitivity at high energy will soon provide useful constraints on dark-matter annihilations in a variety of environments. I will review the current results and future prospects of the Fermi mission.

Grenier, Isabelle (University Paris Diderot and CEA Saclay, France)

2009-04-01T23:59:59.000Z

127

China Total Cloud Amount Trends  

NLE Websites -- All DOE Office Websites (Extended Search)

Trends in Total Cloud Amount Over China DOI: 10.3334CDIACcli.008 data Data image Graphics Investigator Dale P. Kaiser Carbon Dioxide Information Analysis Center, Environmental...

128

national total  

U.S. Energy Information Administration (EIA)

AC Argentina AR Aruba AA Bahamas, The BF Barbados BB Belize BH Bolivia BL Brazil BR Cayman Islands CJ ... World Total ww NA--Table Posted: December 8, ...

129

Sloan Digital Sky Survey Photometric Calibration Revisited  

SciTech Connect

The Sloan Digital Sky Survey calibration is revisited to obtain the most accurate photometric calibration. A small but significant error is found in the flat-fielding of the Photometric telescope used for calibration. Two SDSS star catalogs are compared and the average difference in magnitude as a function of right ascension and declination exhibits small systematic errors in relative calibration. The photometric transformation from the SDSS Photometric Telescope to the 2.5 m telescope is recomputed and compared to synthetic magnitudes computed from measured filter bandpasses.

Marriner, John; /Fermilab

2012-06-29T23:59:59.000Z

130

Building Energy Software Tools Directory: SkyVision  

NLE Websites -- All DOE Office Websites (Extended Search)

SkyVision SkyVision SkyVision logo. Calculates the overall optical characteristics (transmittance, absorptance, reflectance and Solar Heat Gain Coefficient) of conventional and tubular skylights, performance indicators of skylight/room interfaces (well efficiency and coefficient of utilization), indoor daylight availability (daylight factor and illuminance) and daily/annual lighting energy savings. SkyVision accounts for the skylight shape and glazing, geometry of the indoor space (curb, well, room), skylight layouts, lighting and shading controls, site location and sky/ground conditions. SkyVision is unique--it uses the state-of-art glazing models and ray-tracing-based methods to compute the optical characteristics of skylights and indoor daylight availability. Screen Shots

131

On the Estimation of Clear-Sky Upwelling Shortwave and Longwave  

SciTech Connect

Previous work (Long and Ackerman 2000; Long 2004) has concentrated on estimation of the downwelling clear-sky irradiances and the calculation of the effect of clouds on the downwelling radiative energy budget. However, cloud forcing is defined for the difference between clear- and cloudy-sky net radiation, which includes the upwelling components. Thus, if we are to estimate the surface radiative cloud forcing, the means must be developed to estimate what the upwelling shortwave and longwave irradiance would be if the clouds were not present. Estimation of the upwelling longwave (LW) is particularly troublesome in that the emitted upwelling LW is a function of the total surface energy exchange including latent and sensible heat, which is related to but not necessarily always totally driven by the radiative exchange alone, but also involves the evolving soil and vegetation properties and changes in soil moisture amounts.

Long, C.N.

2005-03-18T23:59:59.000Z

132

EXPLORING THE VARIABLE SKY WITH LINEAR. I. PHOTOMETRIC RECALIBRATION WITH THE SLOAN DIGITAL SKY SURVEY  

SciTech Connect

We describe photometric recalibration of data obtained by the asteroid survey LINEAR. Although LINEAR was designed for astrometric discovery of moving objects, the data set described here contains over 5 billion photometric measurements for about 25 million objects, mostly stars. We use Sloan Digital Sky Survey (SDSS) data from the overlapping {approx}10,000 deg{sup 2} of sky to recalibrate LINEAR photometry and achieve errors of 0.03 mag for sources not limited by photon statistics with errors of 0.2 mag at r {approx} 18. With its 200 observations per object on average, LINEAR data provide time domain information for the brightest four magnitudes of the SDSS survey. At the same time, LINEAR extends the deepest similar wide-area variability survey, the Northern Sky Variability Survey, by 3 mag. We briefly discuss the properties of about 7000 visually confirmed periodic variables, dominated by roughly equal fractions of RR Lyrae stars and eclipsing binary stars, and analyze their distribution in optical and infrared color-color diagrams. The LINEAR data set is publicly available from the SkyDOT Web site.

Sesar, Branimir [Division of Physics, Mathematics and Astronomy, Caltech, Pasadena, CA 91125 (United States); Stuart, J. Scott [Lincoln Laboratory, Massachusetts Institute of Technology, Lexington, MA 02420-9108 (United States); Ivezic, Zeljko; Morgan, Dylan P.; Becker, Andrew C. [Department of Astronomy, University of Washington, Seattle, WA 98195-1580 (United States); Wozniak, Przemyslaw [Los Alamos National Laboratory, Los Alamos, NM 87545-0001 (United States)

2011-12-15T23:59:59.000Z

133

Full sky imaging polarimetry for initial polarized modtran validation.  

E-Print Network (OSTI)

??Although military studies of the last ten years have shown that visible polarimetry supplies supplemental surveillance information, the polarimetric signatures of ground-based objects greatly depend… (more)

Pust, Nathaniel Joel.

2007-01-01T23:59:59.000Z

134

Session Papers The Whole Sky Imager -A Year of Progress  

E-Print Network (OSTI)

.5°). The light is filtered by spectral and neutral density filters, and transferred via a tapered fiber optic bundle (with approximately 106 optical fibers) to the CCD. The tapered fiber optic bundle provides a different type of gasketing on the optical dome. The system has otherwise performed quite well. Several

Buckingham, Michael

135

Big Sky Regional Carbon Sequestration Partnership--Kevin Dome...  

NLE Websites -- All DOE Office Websites (Extended Search)

Carbon Services Vecta Oil & Gas, Ltd. Washington State University Big Sky Regional Carbon Sequestration Partnership-Kevin Dome Development Phase Project Background The U.S....

136

Building Energy Software Tools Directory: SkyVision  

NLE Websites -- All DOE Office Websites (Extended Search)

and dailyannual lighting energy savings. SkyVision accounts for the skylight shape and glazing, geometry of the indoor space (curb, well, room), skylight layouts,...

137

NETL: Carbon Storage - Big Sky Carbon Sequestration Partnership  

NLE Websites -- All DOE Office Websites (Extended Search)

BSCSP BSCSP Carbon Storage Big Sky Carbon Sequestration Partnership MORE INFO Additional information related to ongoing BSCSP efforts can be found on their website. The Big Sky Carbon Sequestration Partnership (BSCSP) is led by Montana State University-Bozeman and represents a coalition of more than 60 organizations including universities, national laboratories, private companies, state agencies, Native American tribes, and international collaborators. The partners are engaged in several aspects of BSCSP projects and contribute to the efforts to deploy carbon storage projects in the BSCSP region. The BSCSP region encompasses Montana, Wyoming, Idaho, South Dakota, and eastern Washington and Oregon. BSCSP Big Sky Carbon Sequestration Partnership Region Big Sky Carbon Sequestration Partnership Region

138

EA-1886: Big Sky Regional Carbon Sequestration Partnership -...  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

886: Big Sky Regional Carbon Sequestration Partnership - Phase III: Large Volume CO2 Injection-Site Characterization, Well Drilling, and Infrastructure Development, Injection, MVA,...

139

Clear Skies Group Inc Holdings Inc | Open Energy Information  

Open Energy Info (EERE)

Sector Solar Product Designs and installs photovoltaic, solar thermal and co-generation power generation systems for domestic use. References Clear Skies Group Inc Holdings...

140

SkyMine Carbon Mineralization Pilot Project  

Science Conference Proceedings (OSTI)

This Topical Report addresses accomplishments achieved during Phase 1 of the SkyMine{reg_sign} Carbon Mineralization Pilot Project. The primary objectives of this project are to design, construct, and operate a system to capture CO{sub 2} from a slipstream of flue gas from a commercial coal-fired cement kiln, convert that CO{sub 2} to products having commercial value (i.e., beneficial use), show the economic viability of the CO{sub 2} capture and conversion process, and thereby advance the technology to a point of readiness for commercial scale demonstration and proliferation. The project will also substantiate market opportunities for the technology by sales of chemicals into existing markets, and identify opportunities to improve technology performance and reduce costs at commercial scale. The primary objectives of Phase 1 of the project were to elaborate proven SkyMine{reg_sign} process chemistry to commercial pilot-scale operation and complete the preliminary design ('Reference Plant Design') for the pilot plant to be built and operated in Phase 2. Additionally, during Phase 1, information necessary to inform a DOE determination regarding NEPA requirements for the project was developed, and a comprehensive carbon lifecycle analysis was completed. These items were included in the formal application for funding under Phase 2. All Phase 1 objectives were successfully met on schedule and within budget.

Joe Jones; Clive Barton; Mark Clayton; Al Yablonsky; David Legere

2010-09-30T23:59:59.000Z

Note: This page contains sample records for the topic "total sky imager" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


141

Sloan Digital Sky Survey (SDSS and SDSS-II): Data from the SDSS Legacy Survey (Data Release 7)  

DOE Data Explorer (OSTI)

The Sloan Digital Sky Survey (SDSS) is a series of three interlocking imaging and spectroscopic surveys, carried out over an eight-year period with a dedicated 2.5m telescope located at Apache Point Observatory in Southern New Mexico. The seventh data release (DR7) from the SDSS represents a completion of the overall, original project, though SDSS-III began in 2008 and will build upon the knowledge gained already. The SDSS Legacy Survey provided a uniform, well-calibrated map of more than 7,500 square degrees of the North Galactic Cap, and three stripes in the South Galactic Cap totaling 740 square degrees. The central stripe in the South Galactic Gap, Stripe 82, was scanned multiple times to enable a deep co-addition of the data and to enable discovery of variable objects. Legacy data supported studies ranging from asteroids and nearby stars to the large-scale structure of the universe. All of the imaging data have been processed to yield calibrated astrometric and photometric parameters and classifications. These parameters are available in one or more tables in a database accessible via the Catalog Archive Server (CAS) at http://cas.sdss.org/astro. [taken and edited from the Legacy page at http://www.sdss.org/legacy/index.html] All three surveys summarized are: 1) Legacy: an imaging survey in five bands over a contiguous 7646 deg2 high-latitude elliptical region in the Northern Galactic Cap, plus an additional 750 deg2 in the Southern Galactic Cap, together with spectroscopy of complete samples of galaxies and quasars covering about 8200 square degrees. The total imaging area in the Legacy survey is 8423 square degrees; 2) SEGUE: (Sloan Extension for Galactic Understanding and Exploration): additional imaging of 3240 deg2 of sky at lower Galactic latitudes, together with spectroscopy of 240,000 stars towards 200 sight lines covering 1400 square degrees (spread throughout the Legacy and SEGUE imaging footprints), to study the structure of the Milky Way; 3) Supernova: the equivalent of about 80 repeated imaging scans of the Southern Equatorial Stripe (ra > 310 or ra < 59; -1.25 > dec < 1.25) obtained in variable weather conditions (some clouds) to search for supernovae in the redshift range 0.1 < z < 0.4. The catalog derived from the images includes more than 350 million celestial objects, and spectra of 930,000 galaxies, 120,000 quasars, and 460,000 stars. The data are fully calibrated and reduced, carefully checked for quality, and publicly accessible through efficient databases. The data have been publicly released in a series of annual data releases, culminating in the final data release, DR7.[Copied from http://www.sdss.org/dr7/start/aboutdr7.html

142

Total Imports  

U.S. Energy Information Administration (EIA) Indexed Site

Data Series: Imports - Total Imports - Crude Oil Imports - Crude Oil, Commercial Imports - by SPR Imports - into SPR by Others Imports - Total Products Imports - Total Motor Gasoline Imports - Finished Motor Gasoline Imports - Reformulated Gasoline Imports - Reformulated Gasoline Blended w/ Fuel Ethanol Imports - Other Reformulated Gasoline Imports - Conventional Gasoline Imports - Conv. Gasoline Blended w/ Fuel Ethanol Imports - Conv. Gasoline Blended w/ Fuel Ethanol, Ed55 & Ed55 Imports - Other Conventional Gasoline Imports - Motor Gasoline Blend. Components Imports - Motor Gasoline Blend. Components, RBOB Imports - Motor Gasoline Blend. Components, RBOB w/ Ether Imports - Motor Gasoline Blend. Components, RBOB w/ Alcohol Imports - Motor Gasoline Blend. Components, CBOB Imports - Motor Gasoline Blend. Components, GTAB Imports - Motor Gasoline Blend. Components, Other Imports - Fuel Ethanol Imports - Kerosene-Type Jet Fuel Imports - Distillate Fuel Oil Imports - Distillate F.O., 15 ppm Sulfur and Under Imports - Distillate F.O., > 15 ppm to 500 ppm Sulfur Imports - Distillate F.O., > 500 ppm to 2000 ppm Sulfur Imports - Distillate F.O., > 2000 ppm Sulfur Imports - Residual Fuel Oil Imports - Propane/Propylene Imports - Other Other Oils Imports - Kerosene Imports - NGPLs/LRGs (Excluding Propane/Propylene) Exports - Total Crude Oil and Products Exports - Crude Oil Exports - Products Exports - Finished Motor Gasoline Exports - Kerosene-Type Jet Fuel Exports - Distillate Fuel Oil Exports - Residual Fuel Oil Exports - Propane/Propylene Exports - Other Oils Net Imports - Total Crude Oil and Products Net Imports - Crude Oil Net Imports - Petroleum Products Period: Weekly 4-Week Avg.

143

Real-time rendering of daylight sky scene for virtual environment  

Science Conference Proceedings (OSTI)

Realistic rendering of sky scene is important in virtual environment. Traditional methods are mostly based on skybox, thus failing to realistically simulate the change of sky scene under different weathers and conditions. In this paper, a new sky light ...

Changbo Wang

2007-09-01T23:59:59.000Z

144

The Sloan Digital Sky Survey Monitor Telescope Pipeline  

E-Print Network (OSTI)

The photometric calibration of the Sloan Digital Sky Survey (SDSS) is a multi-step process which involves data from three different telescopes: the 1.0-m telescope at the US Naval Observatory (USNO), Flagstaff Station, Arizona (which was used to establish the SDSS standard star network); the SDSS 0.5-m Photometric Telescope (PT) at the Apache Point Observatory (APO), New Mexico (which calculates nightly extinctions and calibrates secondary patch transfer fields); and the SDSS 2.5-m telescope at APO (which obtains the imaging data for the SDSS proper). In this paper, we describe the Monitor Telescope Pipeline, MTPIPE, the software pipeline used in processing the data from the single-CCD telescopes used in the photometric calibration of the SDSS (i.e., the USNO 1.0-m and the PT). We also describe transformation equations that convert photometry on the USNO-1.0m u'g'r'i'z' system to photometry the SDSS 2.5m ugriz system and the results of various validation tests of the MTPIPE software. Further, we discuss the semi-automated PT factory, which runs MTPIPE in the day-to-day standard SDSS operations at Fermilab. Finally, we discuss the use of MTPIPE in current SDSS-related projects, including the Southern u'g'r'i'z' Standard Star project, the u'g'r'i'z' Open Star Clusters project, and the SDSS extension (SDSS-II).

D. L. Tucker; S. Kent; M. W. Richmond; J. Annis; J. A. Smith; S. S. Allam; C. T. Rodgers; J. L. Stute; J. K. Adelman-McCarthy; J. Brinkmann; M. Doi; D. Finkbeiner; M. Fukugita; J. Goldston; B. Greenway; J. E. Gunn; J. S. Hendry; D. W. Hogg; S. -I. Ichikawa; Z. Ivezic; G. R. Knapp; H. Lampeitl; B. C. Lee; H. Lin; T. A. McKay; A. Merrelli; J. A. Munn; E. H. Neilsen, Jr.; H. J. Newberg; G. T. Richards; D. J. Schlegel; C. Stoughton; A. Uomoto; B. Yanny

2006-08-26T23:59:59.000Z

145

Pink Skies coming to Northern New Mexico October 15-16  

NLE Websites -- All DOE Office Websites (Extended Search)

Pink Skies Coming To Northern New Mexico Community Connections: Our link to Northern New Mexico Communities Latest Issue:November 2013 All Issues submit Pink Skies coming to...

146

Sloan Digital Sky Survey Extension for Galactic Understanding and Exploration (SEGUE): Data from a Spectroscopic Survey of 240,000 Stars with g=14-20  

DOE Data Explorer (OSTI)

The Sloan Digital Sky Survey (SDSS) is a series of three interlocking imaging and spectroscopic surveys, carried out over an eight-year period with a dedicated 2.5m telescope located at Apache Point Observatory in Southern New Mexico. The seventh data release (DR7) from the SDSS represents a completion of the overall, original project, though SDSS-III began in 2008 and will build upon the knowledge gained already.

SEGUE, which stands for the Sloan Digital Sky Survey Extension for Galactic Understanding and Exploration, was one of those three surveys. The images and spectra obtained by SEGUE allowed astronomers to map the positions and velocities of hundreds of thousands of stars, from faint, relatively near-by (within about 100 pc or roughly 300 light-years) ancient stellar embers known as white dwarfs to bright stellar giants located in the outer reaches of the stellar halo, more than 100,000 light-years away. Encoded within the spectral data are the composition and temperature of these stars, vital clues for determining the age and origin of different populations of stars within the Galaxy. [from the SEGUE page at http://www.sdss.org/segue/] View illustrative spectra for various types of stars or go directly to the SDSS page for Data Release Seven at http://www.sdss.org/dr7/.

All three surveys summarized are:

  • Legacy: an imaging survey in five bands over a contiguous 7646 deg2 high-latitude elliptical region in the Northern Galactic Cap, plus an additional 750 deg2 in the Southern Galactic Cap, together with spectroscopy of complete samples of galaxies and quasars covering about 8200 square degrees. The total imaging area in the Legacy survey is 8423 square degrees.
  • SEGUE (Sloan Extension for Galactic Understanding and Exploration): additional imaging of 3240 deg2 of sky at lower Galactic latitudes, together with spectroscopy of 240,000 stars towards 200 sightlines covering 1400 square degrees (spread throughout the Legacy and SEGUE imaging footprints), to study the structure of the Milky Way.
  • Supernova: the equivalent of about 80 repeated imaging scans of the Southern Equatorial Stripe (ra > 310 or ra < 59; -1.25 > dec < 1.25) obtained in variable weather conditions (some clouds) to search for supernovae in the redshift range 0.1 < z < 0.4.
The catalog derived from the images includes more than 350 million celestial objects, and spectra of 930,000 galaxies, 120,000 quasars, and 460,000 stars. The data are fully calibrated and reduced, carefully checked for quality, and publically accessible through efficient databases. The data have been publicly released in a series of annual data releases, culminating in the final data release, DR7.[Copied from http://www.sdss.org/dr7/start/aboutdr7.html

SDSS-II SEGUE Collaboration; Yanny, Brian; Rockosi, Constance; Newberg, Heidi Jo; Knapp, Gillian R.

147

Big Sky Trust Fund (Montana) | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Big Sky Trust Fund (Montana) Big Sky Trust Fund (Montana) Big Sky Trust Fund (Montana) < Back Eligibility Commercial Local Government Tribal Government Savings Category Alternative Fuel Vehicles Hydrogen & Fuel Cells Buying & Making Electricity Water Wind Home Weatherization Solar Program Info Start Date 2005 State Montana Program Type Grant Program Provider Montana Department of Commerce The Big Sky Trust Fund reimburses expenses incurred in the purchase, leasing, or relocation of real assets for direct use of the assisted business or employee training costs. A local or tribal government on behalf of any business may apply. The funding limit of the program is $5,000 per new qualifying job created or $7,500 per qualifying job created in a high poverty county. A dollar for dollar match (or 50% match in a high poverty

148

EA-1886: Big Sky Regional Carbon Sequestration Partnership - Phase III:  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

886: Big Sky Regional Carbon Sequestration Partnership - Phase 886: Big Sky Regional Carbon Sequestration Partnership - Phase III: Large Volume CO2 Injection-Site Characterization, Well Drilling, and Infrastructure Development, Injection, MVA, and Site Closure, Kevin Dome, Toole County, Montana EA-1886: Big Sky Regional Carbon Sequestration Partnership - Phase III: Large Volume CO2 Injection-Site Characterization, Well Drilling, and Infrastructure Development, Injection, MVA, and Site Closure, Kevin Dome, Toole County, Montana SUMMARY This EA will evaluate the environmental impacts of a proposal for the Big Sky Carbon Sequestration Regional Partnership to demonstrate the viability and safety of CO2 storage in a regionally significant subsurface formation in Toole County, Montana and to promote the commercialization of future

149

Mobile Climate Monitoring Facility to Sample Skies in Africa | Department  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Mobile Climate Monitoring Facility to Sample Skies in Africa Mobile Climate Monitoring Facility to Sample Skies in Africa Mobile Climate Monitoring Facility to Sample Skies in Africa January 18, 2006 - 10:47am Addthis WASHINGTON, D.C. -- The U.S. Department of Energy's Atmospheric Radiation Measurement (ARM) Program is placing a new, portable atmospheric laboratory with sophisticated instruments and data systems in Niger, Africa, to gain a better understanding of the potential impacts of Saharan dust on global climate. Dust from Africa's Sahara desert-the largest source of dust on the planet-reaches halfway around the globe. Carried by winds and clouds, the dust travels through West African, Mediterranean, and European skies, and across the Atlantic into North America. Unfortunately, Africa is one of the most under-sampled climate regimes in the world, leaving scientists to

150

EA-1886: Big Sky Regional Carbon Sequestration Partnership - Phase III:  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

6: Big Sky Regional Carbon Sequestration Partnership - Phase 6: Big Sky Regional Carbon Sequestration Partnership - Phase III: Large Volume CO2 Injection-Site Characterization, Well Drilling, and Infrastructure Development, Injection, MVA, and Site Closure, Kevin Dome, Toole County, Montana EA-1886: Big Sky Regional Carbon Sequestration Partnership - Phase III: Large Volume CO2 Injection-Site Characterization, Well Drilling, and Infrastructure Development, Injection, MVA, and Site Closure, Kevin Dome, Toole County, Montana SUMMARY This EA will evaluate the environmental impacts of a proposal for the Big Sky Carbon Sequestration Regional Partnership to demonstrate the viability and safety of CO2 storage in a regionally significant subsurface formation in Toole County, Montana and to promote the commercialization of future

151

Real-Time Sky-View Factor Calculation and Approximation  

Science Conference Proceedings (OSTI)

Previously, the acquisition of sky-view factor data for climate studies has been time consuming and dependent on postprocessing. However, advances in technology now mean that techniques using fish-eye imagery can be algorithmically processed in ...

L. Chapman; J. E. Thornes

2004-05-01T23:59:59.000Z

152

Clear-Sky Nocturnal Temperatures Forecast and the Greenhouse Effect  

Science Conference Proceedings (OSTI)

Nocturnal evolution of air and soil temperatures are computed for clear-sky situations. The model takes into account the soil heat conduction and the atmospheric radiative transfers by using radiosonde data for temperature, water vapor, and ...

A. Quinft; J. Vanderborght

1996-03-01T23:59:59.000Z

153

Empirical Estimation of Daily Clear Sky Solar Radiation  

Science Conference Proceedings (OSTI)

The suitability of two simple empirical equations for the estimation of clear sky radiation was investigated. Results indicated that latitude and altitude were sufficient to estimate the empirical equation coefficients and that the estimates of ...

D. F. Heermann; G. J. Harrington; K. M. Stahl

1985-03-01T23:59:59.000Z

154

American Clean Skies Foundation | OpenEI Community  

Open Energy Info (EERE)

American Clean Skies Foundation Home Graham7781's picture Submitted by Graham7781(1992) Super contributor 2 October, 2012 - 14:01 Nominations open for 250,000 Multimedia Clean...

155

SkySails GmbH | Open Energy Information  

Open Energy Info (EERE)

kite, with which it supplements the momentum of commercial vessels on long journeys, saving fuel costs. References SkySails GmbH1 LinkedIn Connections CrunchBase Profile No...

156

Factors Controlling ERBE Longwave Clear Sky and Cloud Forcing Fluxes  

Science Conference Proceedings (OSTI)

The factors controlling the Earth Radiation Budget satellite (ERBS) longwave clear sky and cloud-forcing fluxes are investigated using statistical analyses of the ERBS fluxes with International Satellite Cloud Climatology Project (ISCCP) cloud ...

Bryan C. Weare

1995-07-01T23:59:59.000Z

157

Feasibility of night-sky radiation with heat pumps  

DOE Green Energy (OSTI)

This report presents the procedure involved in the determination of the feasibility of high-sky radiation as the means of rejecting heat through solar collectors for a sample residential house in the Evansville area. It presents conclusions on different types of coatings that are used on solar collectors. It also designs the system, and its backup, in schematic form. For the purpose of cost analysis it discusses the difference of a cooling tower and night-sky radiation.

McKinney, T.G.

1982-01-01T23:59:59.000Z

158

Big Sky Carbon Sequestration Partnership--Validation Phase  

NLE Websites -- All DOE Office Websites (Extended Search)

Big Sky Carbon Sequestration Big Sky Carbon Sequestration Partnership-Validation Phase Background The U.S. Department of Energy (DOE) has selected seven partnerships, through its Regional Carbon Sequestration Partnership (RCSP) initiative, to determine the best approaches for capturing and permanently storing carbon dioxide (CO 2 ), a greenhouse gas (GHG) which can contribute to global climate change. The RCSPs are made up of state and local agencies, coal companies, oil and gas companies, electric utilities,

159

Imaging  

NLE Websites -- All DOE Office Websites (Extended Search)

Imaging Print Imaging Print The wavelengths of soft x-ray photons (1-15 nm) are very well matched to the creation of "nanoscopes" capable of probing the interior structure of biological cells and inorganic mesoscopic systems.Topics addressed by soft x-ray imaging techniques include cell biology, nanomagnetism, environmental science, and polymers. The tunability of synchrotron radiation is absolutely essential for the creation of contrast mechanisms. Cell biology CAT scans are performed in the "water window" (300-500 eV). Nanomagnetism studies require the energy range characteristic of iron, cobalt, and nickel (600-900 eV). Mid- and far-infrared (energies below 1 eV) microprobes using synchrotron radiation are being used to address problems such as chemistry in biological tissues, chemical identification and molecular conformation, environmental biodegradation, mineral phases in geological and astronomical specimens, and electronic properties of novel materials. Infrared synchrotron radiation is focused through, or reflected from, a small spot on the specimen and then analyzed using a spectrometer. Tuning to characteristic vibrational frequencies serves as a sensitive fingerprint for molecular species. Images of the various species are built up by raster scanning the specimen through the small illuminated spot.

160

Display of clouds taking into account multiple anisotropic scattering and sky light  

Science Conference Proceedings (OSTI)

Keywords: clouds, multiple scattering, optical length, participating media, photo-realism, radiative transfer, sky light

Tomoyuki Nishita; Yoshinori Dobashi; Eihachiro Nakamae

1996-08-01T23:59:59.000Z

Note: This page contains sample records for the topic "total sky imager" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


161

Infrared Thermometer Measurements of the Temperature of the Clouds from the Surface during the 7 March 1970 Total Eclipse  

Science Conference Proceedings (OSTI)

An infrared thermometer was used to observe the apparent radiation temperature of the overcast sky during a 15 h period including the total solar eclipse of 7 March 1970 at the Suwannee River State Park, Florida. An effective cloud temperature ...

L. F. Hall

1980-11-01T23:59:59.000Z

162

Zhenjiang Sky Solar Co Ltd | Open Energy Information  

Open Energy Info (EERE)

Zhenjiang Sky Solar Co Ltd Zhenjiang Sky Solar Co Ltd Jump to: navigation, search Name Zhenjiang Sky-Solar Co Ltd Place Zhenjiang, Jiangsu Province, China Zip 212009 Sector Solar Product A high-tech enterprise specialized in developing and manufacturing solar series lights and solar panels. Coordinates 31.966261°, 119.472687° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":31.966261,"lon":119.472687,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

163

A blue sky catastrophe in double-diffusive convection  

E-Print Network (OSTI)

A global bifurcation of the blue sky catastrophe type has been found in a small Prandtl number binary mixture contained in a laterally heated cavity. The system has been studied numerically applying the tools of bifurcation theory. The catastrophe corresponds to the destruction of an orbit which, for a large range of Rayleigh numbers, is the only stable solution. This orbit is born in a global saddle-loop bifurcation and becomes chaotic in a period doubling cascade just before its disappearance at the blue sky catastrophe.

Esteban Meca; Isabel Mercader; Oriol Batiste; Laureano Ramirez-Piscina

2004-05-27T23:59:59.000Z

164

Microsoft Word - NEPA Big Sky Final EA .doc  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

886 886 FINAL ENVIRONMENTAL ASSESSMENT For The Big Sky Regional Carbon Sequestration Partnership - Phase III: Kevin Dome Carbon Storage Project U.S. DEPARTMENT OF ENERGY NATIONAL ENERGY TECHNOLOGY LABORATORY April 2013 U.S. Department of Energy Kevin Dome Carbon Storage Project National Energy Technology Laboratory Final Environmental Assessment i April 2013 COVER SHEET Responsible Agency: The U.S. Department of Energy (DOE) Title: Environmental Assessment for the Big Sky Regional Carbon Sequestration Partnership - Phase III: Kevin Dome Carbon Storage Project (DOE/EA-1886) Contact: For additional copies or more information about this Environmental Assessment, please contact: Mr. Bill Gwilliam U.S. Department of Energy

165

Big Sky Carbon Sequestration Partnership | Open Energy Information  

Open Energy Info (EERE)

Sky Carbon Sequestration Partnership Sky Carbon Sequestration Partnership Jump to: navigation, search Logo: Big Sky Carbon Sequestration Partnership Name Big Sky Carbon Sequestration Partnership Address 2327 University Way, 3rd Floor Place Bozeman, Montana Zip 59715 Region Pacific Northwest Area Phone number 406-994-3755 Notes One of the US DOE's seven regional carbon sequestration partnerships. Coordinates 45.6565752°, -111.041813° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":45.6565752,"lon":-111.041813,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

166

The Sloan Digital Sky Survey-II Supernova Survey: Technical Summary  

E-Print Network (OSTI)

The Sloan Digital Sky Survey-II (SDSS-II) has embarked on a multi-year project to identify and measure light curves for intermediate-redshift (0.05 < z < 0.35) Type Ia supernovae (SNe Ia) using repeated five-band (ugriz) imaging over an area of 300 sq. deg. The survey region is a stripe 2.5 degrees wide centered on the celestial equator in the Southern Galactic Cap that has been imaged numerous times in earlier years, enabling construction of a deep reference image for discovery of new objects. Supernova imaging observations are being acquired between 1 September and 30 November of 2005-7. During the first two seasons, each region was imaged on average every five nights. Spectroscopic follow-up observations to determine supernova type and redshift are carried out on a large number of telescopes. In its first two three-month seasons, the survey has discovered and measured light curves for 327 spectroscopically confirmed SNe Ia, 30 probable SNe Ia, 14 confirmed SNe Ib/c, 32 confirmed SNe II, plus a large ...

Frieman, Joshua A; Becker, A; Choi, C; Cinabro, D; De Jongh, F; Depoy, D L; Dilday, B; Doi, M; Garnavich, P M; Hogan, C J; Holtzman, J; Im, M; Jha, S; Kessler, R; Konishi, K; Lampeitl, H; Marriner, J; Marshall, J L; McGinnis, D; Miknaitis, G; Nichol, R C; Prieto, J L; Riess, A G; Richmond, M W; Romani, R; Sako, M; Schneider, D P; Smith, M; Takanashi, N; Tokita, K; van der Heyden, K; Yasuda, N; Zheng, C; Adelman-McCarthy, J; Annis, J; Assef, R J; Barentine, J; Bender, R; Blandford, R D; Boroski, W N; Bremer, M; Brewington, H; Collins, C A; Crotts, A; Dembicky, J; Eastman, J; Edge, A; Edmondson, E; Elson, E; Eyler, M E; Filippenko, A V; Foley, R J; Frank, S; Goobar, A; Gueth, T; Gunn, J E; Harvanek, M; Hopp, U; Ihara, Y; IveziÄ?, Ž; Kahn, S; Kaplan, J; Kent, S; Ketzeback, W; Kleinman, S J; Kollatschny, W; Kron, R G; KrzesiÅ?ski, J; Lamenti, D; Leloudas, G; Lin, H; Long, D C; Lucey, J; Lupton, R H; Malanushenko, E; Malanushenko, V; McMillan, R J; Méndez, J; Morgan, C W; Morokuma, T; Nitta, A; Ostman, L; Pan, K; Rockosi, C M; Romer, A K; Ruiz-Lapuente, P; Saurage, G; Schlesinger, K; Snedden, S A; Sollerman, J; Stoughton, C; Stritzinger, M; Subba-Rao, M; Tucker, D; Väisänen, P; Watson, L C; Watters, S; Wheeler, J C; Yanny, B; York, D

2007-01-01T23:59:59.000Z

167

The Sloan Digital Sky Survey-II Supernova Survey: Technical Summary  

Science Conference Proceedings (OSTI)

The Sloan Digital Sky Survey-II (SDSS-II) has embarked on a multi-year project to identify and measure light curves for intermediate-redshift (0.05 < z < 0.35) Type Ia supernovae (SNe Ia) using repeated five-band (ugriz) imaging over an area of 300 sq. deg. The survey region is a stripe 2.5 degrees wide centered on the celestial equator in the Southern Galactic Cap that has been imaged numerous times in earlier years, enabling construction of a deep reference image for discovery of new objects. Supernova imaging observations are being acquired between 1 September and 30 November of 2005-7. During the first two seasons, each region was imaged on average every five nights. Spectroscopic follow-up observations to determine supernova type and redshift are carried out on a large number of telescopes. In its first two three-month seasons, the survey has discovered and measured light curves for 327 spectroscopically confirmed SNe Ia, 30 probable SNe Ia, 14 confirmed SNe Ib/c, 32 confirmed SNe II, plus a large number of photometrically identified SNe Ia, 94 of which have host-galaxy spectra taken so far. This paper provides an overview of the project and briefly describes the observations completed during the first two seasons of operation.

Frieman, Joshua A.; /Fermilab /KICP, Chicago /Chicago U., Astron. Astrophys. Ctr.; Bassett, Bruce; /Cape Town U. /South African Astron. Observ.; Becker, Andrew; /Washington U., Seattle, Astron. Dept.; Choi, Changsu; /Seoul Natl. U.; Cinabro, David; /Wayne State U.; DeJongh, Don Frederic; /Fermilab; Depoy, Darren L.; /Ohio State U.; Doi, Mamoru; /Tokyo U.; Garnavich, Peter M.; /Notre Dame U.; Hogan, Craig J.; /Washington U., Seattle, Astron. Dept.; Holtzman, Jon; /New Mexico State U.; Im, Myungshin; /Seoul Natl. U.; Jha, Saurabh; /Stanford U., Phys. Dept.; Konishi, Kohki; /Tokyo U.; Lampeitl, Hubert; /Baltimore, Space Telescope Sci.; Marriner, John; /Fermilab; Marshall, Jennifer L.; /Ohio State U.; McGinnis, David; /Fermilab; Miknaitis, Gajus; /Fermilab; Nichol, Robert C.; /Portsmouth U.; Prieto, Jose Luis; /Ohio State U. /Rochester Inst. Tech. /Stanford U., Phys. Dept. /Pennsylvania U. /Penn State U., Astron. Astrophys. /Portsmouth U. /Tokyo U. /Tokyo U. /South African Astron. Observ. /Tokyo U. /Stanford U., Phys. Dept. /Fermilab /Fermilab /Ohio State U. /Stanford U., Phys. Dept. /Fermilab /Bristol U. /Apache Point Observ. /Liverpool John Moores U., ARI /Columbia U., CBA /Apache Point Observ. /Ohio State U. /Durham U. /Portsmouth U. /South African Astron. Observ. /Naval Academy, Annapolis /UC, Berkeley /UC, Berkeley /Ohio State U. /Stockholm U. /New Mexico State U. /Princeton U. Observ. /Tokyo U. /Washington U., Seattle, Astron. Dept. /Stanford U., Phys. Dept. /Jefferson Lab /Apache Point Observ. /Gottingen U. /Chicago U. /San Francisco State U. /DARK Cosmology Ctr. /Fermilab /Apache Point Observ. /Durham U. /Princeton U. Observ. /Apache Point Observ. /Apache Point Observ. /Apache Point Observ. /Barcelona U. /Stockholm U. /Apache Point Observ. /Lick Observ. /Sussex U. /Barcelona U. /Apache Point Observ. /Ohio State U. /Apache Point Observ. /Fermilab /DARK Cosmology Ctr. /Chicago U. /Fermilab /South African Astron. Observ. /Ohio State U. /Apache Point Observ. /Texas U., McDonald Observ. /Fermilab

2007-09-14T23:59:59.000Z

168

The Sloan Digital Sky Survey-II Supernova Survey: Technical Summary  

E-Print Network (OSTI)

The Sloan Digital Sky Survey-II (SDSS-II) has embarked on a multi-year project to identify and measure light curves for intermediate-redshift (0.05 < z < 0.35) Type Ia supernovae (SNe Ia) using repeated five-band (ugriz) imaging over an area of 300 sq. deg. The survey region is a stripe 2.5 degrees wide centered on the celestial equator in the Southern Galactic Cap that has been imaged numerous times in earlier years, enabling construction of a deep reference image for discovery of new objects. Supernova imaging observations are being acquired between 1 September and 30 November of 2005-7. During the first two seasons, each region was imaged on average every five nights. Spectroscopic follow-up observations to determine supernova type and redshift are carried out on a large number of telescopes. In its first two three-month seasons, the survey has discovered and measured light curves for 327 spectroscopically confirmed SNe Ia, 30 probable SNe Ia, 14 confirmed SNe Ib/c, 32 confirmed SNe II, plus a large number of photometrically identified SNe Ia, 94 of which have host-galaxy spectra taken so far. This paper provides an overview of the project and briefly describes the observations completed during the first two seasons of operation.

Joshua A. Frieman; B. Bassett; A. Becker; C. Choi; D. Cinabro; F. DeJongh; D. L. Depoy; B. Dilday; M. Doi; P. M. Garnavich; C. J. Hogan; J. Holtzman; M. Im; S. Jha; R. Kessler; K. Konishi; H. Lampeitl; J. Marriner; J. L. Marshall; D. McGinnis; G. Miknaitis; R. C. Nichol; J. L. Prieto; A. G. Riess; M. W. Richmond; R. Romani; M. Sako; D. P. Schneider; M. Smith; N. Takanashi; K. Tokita; K. van der Heyden; N. Yasuda; C. Zheng; J. Adelman-McCarthy; J. Annis; R. J. Assef; J. Barentine; R. Bender; R. D. Blandford; W. N. Boroski; M. Bremer; H. Brewington; C. A. Collins; A. Crotts; J. Dembicky; J. Eastman; A. Edge; E. Edmondson; E. Elson; M. E. Eyler; A. V. Filippenko; R. J. Foley; S. Frank; A. Goobar; T. Gueth; J. E. Gunn; M. Harvanek; U. Hopp; Y. Ihara; Ž. Ivezi?; S. Kahn; J. Kaplan; S. Kent; W. Ketzeback; S. J. Kleinman; W. Kollatschny; R. G. Kron; J. Krzesi?ski; D. Lamenti; G. Leloudas; H. Lin; D. C. Long; J. Lucey; R. H. Lupton; E. Malanushenko; V. Malanushenko; R. J. McMillan; J. Mendez; C. W. Morgan; T. Morokuma; A. Nitta; L. Ostman; K. Pan; C. M. Rockosi; A. K. Romer; P. Ruiz-Lapuente; G. Saurage; K. Schlesinger; S. A. Snedden; J. Sollerman; C. Stoughton; M. Stritzinger; M. SubbaRao; D. Tucker; P. Vaisanen; L. C. Watson; S. Watters; J. C. Wheeler; B. Yanny; D. York

2007-08-21T23:59:59.000Z

169

More Frequent Cloud-Free Sky and Less Surface Solar Radiation in China from 1955 to 2000  

SciTech Connect

Newly available data from extended weather stations and time period reveal that much of China has experienced statistically significant decreases in total cloud cover and low cloud cover over roughly the last half of the Twentieth century. This conclusion is supported by our recent analysis of the more reliably observed frequency of cloud-free sky and overcast sky. The total cloud cover and low cloud cover have decreased 0.88% and 0.33% per decade, respectively, and cloud-free days have increased 0.60% and overcast days decreased 0.78% per decade in China from 1954-2001. Meanwhile, both solar radiation and pan evaporation have decreased in most parts of China, with solar radiation decreasing 3.1 W/m2 and pan evaporation decreasing 39 mm per decade. Combined with other evidences documented in previous studies, we conjectured that increased air pollution may have produced a fog-like haze that reflected/absorbed radiation from the sun and resulted in less solar radiation reaching the surface, despite concurrent upward trends in cloud-free skies over China.

Qian, Yun; Kaiser, Dale P.; Leung, Lai R.; Xu, Ming

2006-01-11T23:59:59.000Z

170

The Clear-Sky Greenhouse Effect Sensitivity to a Sea Surface Temperature Change  

Science Conference Proceedings (OSTI)

The clear-sky greenhouse effect response to a sea surface temperature (SST or Ts) change is studied using outgoing clear-sky longwave radiation measurements from the Earth Radiation Budget Experiment (ERBE). Considering geographical distributions ...

J. Ph Duvel; F. M. Bréon

1991-12-01T23:59:59.000Z

171

A Technique for Mapping the Distribution of Diffuse Solar Radiation over the Sky Hemisphere  

Science Conference Proceedings (OSTI)

A technique to map the distribution of diffuse solar radiation over the sky hemisphere is described. The method is based on an analysis of all-sky, visible photographs and concurrent actinometric measurements of diffuse solar radiance. The ...

L. J. Bruce McArthur; John E. Hay

1981-04-01T23:59:59.000Z

172

Feasibility of GRB with TeV gamma ray all sky monitor  

E-Print Network (OSTI)

We discuss feasibility of Gamma ray burst (GRB) with TeV gamma ray all sky monitor and discuss necessity of TeV gamma ray cherenkov all sky monitor.

S. Osone

2003-05-14T23:59:59.000Z

173

A Study of the Incoming Longwave Atmospheric Radiation from a Clear Sky  

Science Conference Proceedings (OSTI)

A band model for atmospheric absorption is used to calculate the incoming longwave atmospheric radiative flux for some typical clear sky conditions. The sky radiation is also measured using a specially-designed calorimetric apparatus over a wide ...

J. W. Ramsey; H. D. Chiang; R. J. Goldstein

1982-04-01T23:59:59.000Z

174

The Sloan Digital Sky Survey-II Supernova Survey: Search Algorithm and Follow-up Observations  

E-Print Network (OSTI)

The Sloan Digital Sky Survey-II Supernova Survey has identified a large number of new transient sources in a 300 sq. deg. region along the celestial equator during its first two seasons of a three-season campaign. Multi-band (ugriz) light curves were measured for most of the sources, which include solar system objects, Galactic variable stars, active galactic nuclei, supernovae (SNe), and other astronomical transients. The imaging survey is augmented by an extensive spectroscopic follow-up program to identify SNe, measure their redshifts, and study the physical conditions of the explosions and their environment through spectroscopic diagnostics. During the survey, light curves are rapidly evaluated to provide an initial photometric type of the SNe, and a selected sample of sources are targeted for spectroscopic observations. In the first two seasons, 476 sources were selected for spectroscopic observations, of which 403 were identified as SNe. For the Type Ia SNe, the main driver for the Survey, our photometr...

Sako, Masao; Becker, A; Cinabro, D; De Jongh, F; Depoy, D L; Dilday, B; Doi, M; Frieman, J A; Garnavich, P M; Hogan, C J; Holtzman, J; Jha, S; Kessler, R; Konishi, K; Lampeitl, H; Marriner, J; Miknaitis, G; Nichol, R C; Prieto, J L; Reiss, A G; Richmond, M W; Romani, R; Schneider, D P; Smith, M; Subba-Rao, M; Takanashi, N; Tokita, K; van der Heyden, K; Yasuda, N; Zheng, C; Barentine, J; Brewington, H; Choi, C; Dembicky, J; Harnavek, M; Ihara, Y; Im, M; Ketzeback, W; Kleinman, S J; KrzesiÅ?ski, J; Long, D C; Malanushenko, E; Malanushenko, V; McMillan, R J; Morokuma, T; Nitta, A; Pan, K; Saurage, G; Snedden, S A

2007-01-01T23:59:59.000Z

175

Big Sky, Montana: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

Sky, Montana: Energy Resources Sky, Montana: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 45.2846507°, -111.368292° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":45.2846507,"lon":-111.368292,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

176

Candidate spectroscopic binaries in the Sloan Digital Sky Survey  

E-Print Network (OSTI)

We have examined the radial velocity data for stars spectroscopically observed by the Sloan Digital Sky Survey (SDSS) more than once to investigate the incidence of spectroscopic binaries, and to evaluate the accuracy of the SDSS stellar radial velocities. We find agreement between the fraction of stars with significant velocity variations and the expected fraction of binary stars in the halo and thick disk populations. The observations produce a list of 675 possible new spectroscopic binary stars and orbits for eight of them.

D. Pourbaix; G. R. Knapp; P. Szkody; Z. Ivezic; S. J. Kleinman; D. Long; S. A. Snedden; A. Nitta; M. Harvanek; J. Krzesinski; H. J. Brewington; J. C. Barentine; E. H. Neilsen; J. Brinkman

2005-08-29T23:59:59.000Z

177

Candidate spectroscopic binaries in the Sloan Digital Sky Survey  

E-Print Network (OSTI)

We have examined the radial velocity data for stars spectroscopically observed by the Sloan Digital Sky Survey (SDSS) more than once to investigate the incidence of spectroscopic binaries, and to evaluate the accuracy of the SDSS stellar radial velocities. We find agreement between the fraction of stars with significant velocity variations and the expected fraction of binary stars in the halo and thick disk populations. The observations produce a list of 675 possible new spectroscopic binary stars and orbits for eight of them.

Pourbaix, D; Szkody, P; Ivezic, Z; Kleinman, S J; Long, D; Snedden, S A; Nitta, A; Harvanek, M; Krzesínski, J; Brewington, H J; Barentine, J C; Neilsen, E H; Brinkmann, J

2005-01-01T23:59:59.000Z

178

A FAST ALGORITHM FOR TOTAL VARIATION IMAGE ...  

E-Print Network (OSTI)

[29] A. Tikhonov and V. Arsenin, Solution of Ill-Posed Problems, Winston, Washington, DC, 1977. [30] E. van den Berg and M.P. Friedlander, Probing the pareto ...

179

OZZ Solar Inc Sky Ozz International | Open Energy Information  

Open Energy Info (EERE)

OZZ Solar Inc Sky Ozz International OZZ Solar Inc Sky Ozz International Jump to: navigation, search Name OZZ Solar Inc. (Sky Ozz International) Place Concord, Ontario, Canada Zip L4K 4R1 Sector Solar Product Ontario-based OZZ Solar was formed to build commercial and residential rooftop solar projects under the province's feed-in tariff programme. Coordinates 37.344704°, -78.975299° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":37.344704,"lon":-78.975299,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

180

Bright Skies Ahead for Moapa | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Bright Skies Ahead for Moapa Bright Skies Ahead for Moapa Bright Skies Ahead for Moapa March 1, 2013 - 7:19pm Addthis In addition to the planned 250-MW solar farm set to begin construction in June 2013, the Moapa Band of Paiutes is working on a second 150-MW project that would use both PV and concentrated solar technologies to generate power for the Tribe. Photo from Moapa Band of Paiutes. In addition to the planned 250-MW solar farm set to begin construction in June 2013, the Moapa Band of Paiutes is working on a second 150-MW project that would use both PV and concentrated solar technologies to generate power for the Tribe. Photo from Moapa Band of Paiutes. Photo from Moapa Band of Paiutes. Photo from Moapa Band of Paiutes. Moapa Band of Paiutes Chairman William Anderson. In addition to the planned 250-MW solar farm set to begin construction in June 2013, the Moapa Band of Paiutes is working on a second 150-MW project that would use both PV and concentrated solar technologies to generate power for the Tribe. Photo from Moapa Band of Paiutes.

Note: This page contains sample records for the topic "total sky imager" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


181

Correlated Errors in the COBE DMR Sky Maps  

E-Print Network (OSTI)

The {\\it COBE} DMR sky maps contain low-level correlated noise. We obtain estimates of the amplitude and pattern of the correlated noise from three techniques: angular averages of the covariance matrix, Monte Carlo simulations of two-point correlation functions, and direct analysis of the DMR maps. The results from the three methods are mutually consistent. The noise covariance matrix of a DMR sky map is diagonal to an accuracy of better than 1\\%. For a given sky pixel, the dominant noise covariance occurs with the ring of pixels at an angular separation of $60 \\deg$ due to the $60 \\deg$ separation of the DMR horns. The mean covariance at $60 \\deg$ is $0.45\\% ^{+0.18}_{-0.14}$ of the mean variance. Additionally, the variance in a given pixel is $0.7\\%$ greater than would be expected from a single beam experiment with the same noise properties. Auto-correlation functions suffer from a $\\sim 1.5\\; \\sigma$ positive bias at $60 \\deg$ while cross-correlations have no bias. Published {\\it COBE} DMR results are not significantly affected by correlated noise. COBE pre-print 94-

C. H. Lineweaver; G. F. Smoot; C. L. Bennett; E. L. Wright; L. Tenorio; A. Kogut; P. B. Keegstra; G. Hinshaw; A. J. Banday

1994-03-10T23:59:59.000Z

182

THE SLOAN DIGITAL SKY SURVEY QUASAR LENS SEARCH. II. STATISTICAL LENS SAMPLE FROM THETHIRD DATA RELEASE  

Science Conference Proceedings (OSTI)

We report the first results of our systematic search for strongly lensed quasars using the spectroscopically confirmed quasars in the Sloan Digital Sky Survey (SDSS). Among 46,420 quasars from the SDSS Data Release 3 ({approx}4188 deg{sup 2}), we select a subsample of 22,683 quasars that are located at redshifts between 0.6 and 2.2 and are brighter than the Galactic extinction corrected i-band magnitude of 19.1. We identify 220 lens candidates from the quasar subsample, for which we conduct extensive and systematic follow-up observations in optical and near-infrared wavebands, in order to construct a complete lensed quasar sample at image separations between 1-inch and 20-inch and flux ratios of faint to bright lensed images larger than 10{sup -0.5}. We construct a statistical sample of 11 lensed quasars. Ten of these are galaxy-scale lenses with small image separations ({approx} 1-inch - 2-inch) and one is a large separation (15-inch) system which is produced by a massive cluster of galaxies, representing the first statistical sample of lensed quasars including both galaxy- and cluster-scale lenses. The Data Release 3 spectroscopic quasars contain an additional 11 lensed quasars outside the statistical sample.

Inada, N; Oguri, M; Becker, R H; Shin, M; Richards, G T; Hennawi, J F; White, R L; Pindor, B; Strauss, M A; Kochanek, C S; Johnston, D E; Gregg, M D; Kayo, I; Eisenstein, D; Hall, P B; Castander, F J; Clocchiatti, A; Chiu, K; Kawano, Y; Scranton, R; Frieman, J; Keeton, C R; Morokuma, T; Rix, H; Turner, E L; Burless, S; Brunner, R J; Sheldon, E S; Bahcall, N A; Fukugita, M

2007-09-13T23:59:59.000Z

183

The Sloan Digital Sky Survey-II Supernova Survey: Search Algorithm and Follow-up Observations  

E-Print Network (OSTI)

The Sloan Digital Sky Survey-II Supernova Survey has identified a large number of new transient sources in a 300 sq. deg. region along the celestial equator during its first two seasons of a three-season campaign. Multi-band (ugriz) light curves were measured for most of the sources, which include solar system objects, Galactic variable stars, active galactic nuclei, supernovae (SNe), and other astronomical transients. The imaging survey is augmented by an extensive spectroscopic follow-up program to identify SNe, measure their redshifts, and study the physical conditions of the explosions and their environment through spectroscopic diagnostics. During the survey, light curves are rapidly evaluated to provide an initial photometric type of the SNe, and a selected sample of sources are targeted for spectroscopic observations. In the first two seasons, 476 sources were selected for spectroscopic observations, of which 403 were identified as SNe. For the Type Ia SNe, the main driver for the Survey, our photometric typing and targeting efficiency is 90%. Only 6% of the photometric SN Ia candidates were spectroscopically classified as non-SN Ia instead, and the remaining 4% resulted in low signal-to-noise, unclassified spectra. This paper describes the search algorithm and the software, and the real-time processing of the SDSS imaging data. We also present the details of the supernova candidate selection procedures and strategies for follow-up spectroscopic and imaging observations of the discovered sources.

Masao Sako; B. Bassett; A. Becker; D. Cinabro; F. DeJongh; D. L. Depoy; B. Dilday; M. Doi; J. A. Frieman; P. M. Garnavich; C. J. Hogan; J. Holtzman; S. Jha; R. Kessler; K. Konishi; H. Lampeitl; J. Marriner; G. Miknaitis; R. C. Nichol; J. L. Prieto; A. G. Riess; M. W. Richmond; R. Romani; D. P. Schneider; M. Smith; M. SubbaRao; N. Takanashi; K. Tokita; K. van der Heyden; N. Yasuda; C. Zheng; J. Barentine; H. Brewington; C. Choi; J. Dembicky; M. Harnavek; Y. Ihara; M. Im; W. Ketzeback; S. J. Kleinman; J. Krzesi?ski; D. C. Long; E. Malanushenko; V. Malanushenko; R. J. McMillan; T. Morokuma; A. Nitta; K. Pan; G. Saurage; S. A. Snedden

2007-08-21T23:59:59.000Z

184

Clean Cities: Land of Sky Clean Vehicles coalition (Western North Carolina)  

Alternative Fuels and Advanced Vehicles Data Center (EERE)

Land of Sky Clean Vehicles Coalition (Western North Carolina) Land of Sky Clean Vehicles Coalition (Western North Carolina) The Land of Sky Clean Vehicles coalition (Western North Carolina) works with vehicle fleets, fuel providers, community leaders, and other stakeholders to reduce petroleum use in transportation. Land of Sky Clean Vehicles coalition (Western North Carolina) Contact Information Bill Eaker 828-251-6622 x142 bill@landofsky.org Coalition Website Clean Cities Coordinator Bill Eaker Photo of Bill Eaker Bill Eaker established the Land of Sky Clean Vehicles Coalition, serving the Western North Carolina region, in 2004 and has served as the coalition's coordinator since then. Eaker has over 31 years of experience in environmental, land use, and growth management planning at the local, regional, and state scales. He has worked at Land of Sky Regional Council

185

THE MILKY WAY TOMOGRAPHY WITH SLOAN DIGITAL SKY SURVEY. IV. DISSECTING DUST  

SciTech Connect

We use Sloan Digital Sky Survey (SDSS) photometry of 73 million stars to simultaneously constrain best-fit main-sequence stellar spectral energy distribution (SED) and amount of dust extinction along the line of sight toward each star. Using a subsample of 23 million stars with Two Micron All Sky Survey (2MASS) photometry, whose addition enables more robust results, we show that SDSS photometry alone is sufficient to break degeneracies between intrinsic stellar color and dust amount when the shape of extinction curve is fixed. When using both SDSS and 2MASS photometry, the ratio of the total to selective absorption, R{sub V} , can be determined with an uncertainty of about 0.1 for most stars in high-extinction regions. These fits enable detailed studies of the dust properties and its spatial distribution, and of the stellar spatial distribution at low Galactic latitudes (|b| < 30 Degree-Sign ). Our results are in good agreement with the extinction normalization given by the Schlegel et al. (SFD) dust maps at high northern Galactic latitudes, but indicate that the SFD extinction map appears to be consistently overestimated by about 20% in the southern sky, in agreement with recent study by Schlafly et al. The constraints on the shape of the dust extinction curve across the SDSS and 2MASS bandpasses disfavor the reddening law of O'Donnell, but support the models by Fitzpatrick and Cardelli et al. For the latter, we find a ratio of the total to selective absorption to be R{sub V} = 3.0 {+-} 0.1(random){+-}0.1 (systematic) over most of the high-latitude sky. At low Galactic latitudes (|b| < 5 Degree-Sign ), we demonstrate that the SFD map cannot be reliably used to correct for extinction because most stars are embedded in dust, rather than behind it, as is the case at high Galactic latitudes. We analyze three-dimensional maps of the best-fit R{sub V} and find that R{sub V} = 3.1 cannot be ruled out in any of the 10 SEGUE stripes at a precision level of {approx}0.1-0.2. Our best estimate for the intrinsic scatter of R{sub V} in the regions probed by SEGUE stripes is {approx}0.2. We introduce a method for efficient selection of candidate red giant stars in the disk, dubbed 'dusty parallax relation', which utilizes a correlation between distance and the extinction along the line of sight. We make these best-fit parameters, as well as all the input SDSS and 2MASS data, publicly available in a user-friendly format. These data can be used for studies of stellar number density distribution, the distribution of dust properties, for selecting sources whose SED differs from SEDs for high-latitude main-sequence stars, and for estimating distances to dust clouds and, in turn, to molecular gas clouds.

Berry, Michael; Ivezic, Zeljko; Brooks, Keira J.; Gibson, Robert R.; Jones, Lynne; Yoachim, Peter; Krughoff, Simon; Connolly, Andrew J.; Loebman, Sarah [Department of Astronomy, University of Washington, Box 351580, Seattle, WA 98195 (United States); Sesar, Branimir [Division of Physics, Mathematics and Astronomy, Caltech, Pasadena, CA 91125 (United States); Juric, Mario [Harvard College Observatory, 60 Garden Street, Cambridge, MA 02138 (United States); Schlafly, Edward F.; Finkbeiner, Douglas [Harvard-Smithsonian Center for Astrophysics, 60 Garden Street, Cambridge, MA 02138 (United States); Bellovary, Jillian [Department of Astronomy, University of Michigan, Ann Arbor, MI (United States); Vrbanec, Dijana [Department of Physics, Faculty of Science, University of Zagreb, Bijenicka cesta 32, 10000 Zagreb (Croatia); Beers, Timothy C. [National Optical Astronomy Observatories, Tucson, AZ 85719 (United States); Schneider, Donald P. [Department of Astronomy and Astrophysics, Pennsylvania State University, University Park, PA 16802 (United States); Kimball, Amy [National Radio Astronomy Observatory, 520 Edgemont Road, Charlottesville, VA 22903-2475 (United States); Bond, Nicholas A. [Physics and Astronomy Department, Rutgers University, Piscataway, NJ 08854-8019 (United States); Schlegel, David [Lawrence Berkeley National Laboratory, One Cyclotron Road, MS 50R5032, Berkeley, CA 94720 (United States); and others

2012-10-01T23:59:59.000Z

186

Blue Sky Green Field Wind Farm | Open Energy Information  

Open Energy Info (EERE)

Green Field Wind Farm Green Field Wind Farm Jump to: navigation, search Name Blue Sky Green Field Wind Farm Facility Blue Sky Green Field Wind Farm Sector Wind energy Facility Type Commercial Scale Wind Facility Status In Service Owner We Energies Developer We Energies Energy Purchaser We Energies Location Fond du Lac County WI Coordinates 43.908549°, -88.305384° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":43.908549,"lon":-88.305384,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

187

The Wisconsin H-Alpha Mapper Northern Sky Survey  

E-Print Network (OSTI)

The Wisconsin H-Alpha Mapper (WHAM) has surveyed the distribution and kinematics of ionized gas in the Galaxy above declination -30 degrees. The WHAM Northern Sky Survey (WHAM-NSS) has an angular resolution of one degree and provides the first absolutely-calibrated, kinematically-resolved map of the H-Alpha emission from the Warm Ionized Medium (WIM) within ~ +/-100 km/s of the Local Standard of Rest. Leveraging WHAM's 12 km/s spectral resolution, we have modeled and removed atmospheric emission and zodiacal absorption features from each of the 37,565 spectra. The resulting H-Alpha profiles reveal ionized gas detected in nearly every direction on the sky with a sensitivity of 0.15 R (3 sigma). Complex distributions of ionized gas are revealed in the nearby spiral arms up to 1-2 kpc away from the Galactic plane. Toward the inner Galaxy, the WHAM-NSS provides information about the WIM out to the tangent point down to a few degrees from the plane. Ionized gas is also detected toward many intermediate velocity clouds at high latitudes. Several new H II regions are revealed around early B-stars and evolved stellar cores (sdB/O). This work presents the details of the instrument, the survey, and the data reduction techniques. The WHAM-NSS is also presented and analyzed for its gross properties. Finally, some general conclusions are presented about the nature of the WIM as revealed by the WHAM-NSS.

L. M. Haffner; R. J. Reynolds; S. L. Tufte; G. J. Madsen; K. P. Jaehnig; J. W. Percival

2003-09-03T23:59:59.000Z

188

An Automated Cirrus Cloud Detection Method for a Ground-Based Cloud Image  

Science Conference Proceedings (OSTI)

Cloud detection is a basic research for achieving cloud-cover state and other cloud characteristics. Because of the influence of sunlight, the brightness of sky background on the ground-based cloud image is usually nonuniform, which increases the ...

Jun Yang; Weitao Lu; Ying Ma; Wen Yao

2012-04-01T23:59:59.000Z

189

Imprint of Intergalactic Shocks on the Radio Sky  

E-Print Network (OSTI)

Strong intergalactic shocks are a natural consequence of structure formation in the universe. They are expected to deposit large fractions of their energy in relativistic electrons (xi_e~0.05 according to SNR observations) and magnetic fields (xi_B~0.01 according to cluster halo observations). We calculate the synchrotron emission from such shocks using an analytical model, calibrated with a hydrodynamical LCDM simulation. The resulting signal composes a large fraction of the extragalactic radio background (ERB) below 500 MHz. The associated angular fluctuations dominate the sky for frequencies nu3*10^-4. The fluctuating signal is most pronounced for nugas and magnetic fields. Space missions such as ALFA will thus provide important insight into the structure and composition of our Galaxy (abridged).

Uri Keshet; Eli Waxman; Abraham Loeb

2004-02-12T23:59:59.000Z

190

Blue Sky Energy Inc BSE | Open Energy Information  

Open Energy Info (EERE)

Energy Inc BSE Energy Inc BSE Jump to: navigation, search Name Blue Sky Energy Inc (BSE) Place Vista, California Zip 92081 Product MPPT (Maximum Power Point Tracking) technology. Own a patented technology allowing an increase of power from a PV array of up to 30% more than conventional controllers. Coordinates 37.989712°, -93.665689° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":37.989712,"lon":-93.665689,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

191

Big Sky Regional Carbon Sequestration Partnership--Validation Phase  

NLE Websites -- All DOE Office Websites (Extended Search)

Program Technology Program Technology Manager National Energy Technology Laboratory 3610 Collins Ferry Road P.O. Box 880 Morgantown, WV 26507 304-285-1345 traci.rodosta@netl.doe.gov William Aljoe Project Manager National Energy Technology Laboratory 626 Cochrans Mill Road P.O. Box 10940 Pittsburgh, PA 15236-0940 412-386-6569 william.aljoe@netl.doe.gov Leslie L. Schmidt Business Contact Montana State University-Bozeman 309 Montana Hall Bozeman, MT 59717-2470 406-994-2381 lschmidt@montana.edu Lee Spangler Technical Contact Montana State University-Bozeman P.O. Box 172460 Bozeman, MT 59717-2470 406-994-4399 spangler@montana.edu PARTNERS Battelle Pacific Northwest Division Center for Advanced Energy Studies Cimarex Energy Columbia University, Lamont-Doherty Earth Observatory Crow Tribe Big Sky Regional Carbon Sequestration

192

Running the Sloan Digital Sky Survey data archive server  

SciTech Connect

The Sloan Digital Sky Survey (SDSS) Data Archive Server (DAS) provides public access to over 12Tb of data in 17 million files produced by the SDSS data reduction pipeline. Many tasks which seem trivial when serving smaller, less complex data sets present challenges when serving data of this volume and technical complexity. The included output files should be chosen to support as much science as possible from publicly released data, and only publicly released data. Users must have the resources needed to read and interpret the data correctly. Server administrators must generate new data releases at regular intervals, monitor usage, quickly recover from hardware failures, and monitor the data served by the DAS both for contents and corruption. We discuss these challenges, describe tools we use to administer and support the DAS, and discuss future development plans.

Neilsen, Eric H., Jr.; Stoughton, Chris; /Fermilab

2006-11-01T23:59:59.000Z

193

The Wisconsin H-Alpha Mapper Northern Sky Survey  

E-Print Network (OSTI)

The Wisconsin H-Alpha Mapper (WHAM) has completed a survey in Balmer Alpha of the entire Northern sky above declination -30 deg. This survey provides the first calibrated, velocity-resolved map of the H-Alpha emission from the Galaxy. With one-degree spatial resolution, 12 km s^{-1} velocity resolution, and sensitivity to features as faint as 0.1 R (EM ~ 0.2 cm^{-6} pc), this survey provides the deepest maps of the ionized content of the Galaxy to date. In addition to probing the detailed kinematic structure of the Warm Ionized Medium and the vertical structure of the ionized content in spiral arms, initial results include the discovery of several faint, extended (d > 1\\deg) H II regions and the first map of the ionized component of an intermediate velocity cloud.

L. M. Haffner

2000-10-04T23:59:59.000Z

194

Monitoring of IR Clear-Sky Radiances over Oceans for SST (MICROS)  

Science Conference Proceedings (OSTI)

Monitoring of IR Clear-Sky Radiances over Oceans for SST (MICROS) is a Web-based tool to monitor “model minus observation” (M ? O) biases in clear-sky brightness temperatures (BTs) and sea surface temperatures (SSTs) produced by the Advanced Clear-...

Xingming Liang; Alexander Ignatov

2011-10-01T23:59:59.000Z

195

Total Crude by Pipeline  

U.S. Energy Information Administration (EIA) Indexed Site

Product: Total Crude by All Transport Methods Domestic Crude by All Transport Methods Foreign Crude by All Transport Methods Total Crude by Pipeline Domestic Crude by Pipeline Foreign Crude by Pipeline Total Crude by Tanker Domestic Crude by Tanker Foreign Crude by Tanker Total Crude by Barge Domestic Crude by Barge Foreign Crude by Barge Total Crude by Tank Cars (Rail) Domestic Crude by Tank Cars (Rail) Foreign Crude by Tank Cars (Rail) Total Crude by Trucks Domestic Crude by Trucks Foreign Crude by Trucks Period: Product: Total Crude by All Transport Methods Domestic Crude by All Transport Methods Foreign Crude by All Transport Methods Total Crude by Pipeline Domestic Crude by Pipeline Foreign Crude by Pipeline Total Crude by Tanker Domestic Crude by Tanker Foreign Crude by Tanker Total Crude by Barge Domestic Crude by Barge Foreign Crude by Barge Total Crude by Tank Cars (Rail) Domestic Crude by Tank Cars (Rail) Foreign Crude by Tank Cars (Rail) Total Crude by Trucks Domestic Crude by Trucks Foreign Crude by Trucks Period: Annual Download Series History Download Series History Definitions, Sources & Notes Definitions, Sources & Notes Show Data By: Product Area 2007 2008 2009 2010 2011 2012 View

196

Sensitivity of Clear-Sky Diffuse Radiation to In Situ Aerosol Scattering Parameters  

NLE Websites -- All DOE Office Websites (Extended Search)

Sensitivity of Clear-Sky Diffuse Radiation to In Situ Sensitivity of Clear-Sky Diffuse Radiation to In Situ Aerosol Scattering Parameters P. J. Ricchiazzi and C. Gautier University of California Santa Barbara, California Introduction Recent studies of clear-sky radiation indicate that current radiative transfer (RT) models underestimate atmospheric absorption when standard aerosol properties are used. This so-called clear-sky anomaly is manifested in predicted levels of diffuse radiation significantly below those observed at Southern Great Plains (SGP) and other sites in the continental United States (e.g., Halthore et al. 1998 GRL). Other observations at pristine sites do not show a discrepancy (Barnard and Powell 2001, 2001; Kato et al. 1997; Halthore 1998). These results may indicate that the clear-sky anomaly is only observed at sites

197

Spiral Disk Opacity from Occulting Galaxy Pairs in the Sloan Digital Sky Survey  

E-Print Network (OSTI)

A spiral galaxy partially ovelapping a more distant elliptical offers an unique opportunity to measure the dust extinction in the foreground spiral. From the Sloan Digital Sky Survey DR4 spectroscopic sample, we selected 83 occulting galaxy pairs and measured disk opacity over the redshift range z = 0.0-0.2 with the goal to determine the recent evolution of disk dust opacity. The enrichment of the ISM changes over the lifetime of a disk and it is reasonable to expect the dust extinction properties of spiral disks as a whole to change over their lifetime. When they do, the change will affect our measurements of galaxies over the observable universe. From the SDSS pairs we conclude that spiral disks show evidence of extinction to ~2 effective radii. However, no evidence for recent evolution of disk opacity is evident, due to the limited redshift range and our inability to distinguish other factors on disk opacity such as the presence of spiral arms and Hubble type. Such effects also mask any relation between surface brightness and optical depth that has been found in nearby galaxies. Hence, we conclude that the SDSS spectral catalog is an excellent way to find occulting pairs and construct a uniform local sample. However, higher resolution than the SDSS images is needed to disentangle the effects of spiral arms and Hubble type from evolution since z = 0.2.

B. W. Holwerda; W. C. Keel; A. Bolton

2007-08-08T23:59:59.000Z

198

Total Space Heat-  

Gasoline and Diesel Fuel Update (EIA)

Released: September, 2008 Total Space Heat- ing Cool- ing Venti- lation Water Heat- ing Light- ing Cook- ing Refrig- eration Office Equip- ment Com- puters Other All Buildings...

199

Total Space Heat-  

Gasoline and Diesel Fuel Update (EIA)

Revised: December, 2008 Total Space Heat- ing Cool- ing Venti- lation Water Heat- ing Light- ing Cook- ing Refrig- eration Office Equip- ment Com- puters Other All Buildings*...

200

Total Space Heat-  

Gasoline and Diesel Fuel Update (EIA)

Released: September, 2008 Total Space Heat- ing Cool- ing Venti- lation Water Heat- ing Light- ing Cook- ing Refrig- eration Office Equip- ment Com- puters Other All Buildings*...

Note: This page contains sample records for the topic "total sky imager" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


201

Total Space Heat-  

Gasoline and Diesel Fuel Update (EIA)

Revised: December, 2008 Total Space Heat- ing Cool- ing Venti- lation Water Heat- ing Light- ing Cook- ing Refrig- eration Office Equip- ment Com- puters Other All Buildings...

202

Ensemble Properties of Comets in the Sloan Digital Sky Survey  

Science Conference Proceedings (OSTI)

We present the ensemble properties of 31 comets (27 resolved and 4 unresolved) observed by the Sloan Digital Sky Survey (SDSS). This sample of comets represents about 1 comet per 10 million SDSS photometric objects. Five-band (u, g, r, i, z) photometry is used to determine the comets colors, sizes, surface brightness profiles, and rates of dust production in terms of the Afp formalism. We find that the cumulative luminosity function for the Jupiter Family Comets in our sample is well fit by a power law of the form N(

Solontoi, Michael; /Adler Planetarium, Chicago; Ivezic, Zeljko; /Washington U., Seattle, Astron. Dept.; Juric, Mario; /Harvard Coll. Observ.; Becker, Andrew C.; /Washington U., Seattle, Astron. Dept.; Jones, Lynne; /Washington U., Seattle, Astron. Dept.; West, Andrew A.; /Boston U.; Kent, Steve; /Fermilab; Lupton, Robert H.; /Princeton U. Observ.; Claire, Mark; /Washington U., Seattle, Astron. Dept.; Knapp, Gillian R.; /Princeton U. Observ.; Quinn, Tom; /Washington U., Seattle, Astron. Dept. /Princeton U. Observ.

2012-02-01T23:59:59.000Z

203

The Sloan Digital Sky Survey quasar catalog: ninth data release  

E-Print Network (OSTI)

We present the Data Release 9 Quasar (DR9Q) catalog from the Baryon Oscillation Spectroscopic Survey (BOSS) of the Sloan Digital Sky Survey III. The catalog includes all BOSS objects that were targeted as quasar candidates during the survey, are spectrocopically confirmed as quasars via visual inspection, have luminosities Mi[z=2]2.15$ (61,931) is ~2.8 times larger than the number of z>2.15 quasars previously known. Redshifts and FWHMs are provided for the strongest emission lines (CIV, CIII], MgII). The catalog identifies 7,533 broad absorption line quasars and gives their characteristics. For each object the catalog presents five-band (u,g,r,i,z) CCD-based photometry with typical accuracy of 0.03 mag, and information on the morphology and selection method. The catalog also contains X-ray, ultraviolet, near-infrared, and radio emission properties of the quasars, when available, from other large-area surveys.

Pâris, Isabelle; Aubourg, Eric; Bailey, Stephen; Ross, Nicholas P; Myers, Adam D; Strauss, Michael A; Anderson, Scott F; Arnau, Eduard; Bautista, Julian; Bizyaev, Dmitry; Bolton, Adam S; Bovy, Jo; Brandt, William N; Brewington, Howard; Brownstein, Joel R; Busca, Nicolas; Capellupo, Daniel; Carithers, William; Croft, Rupert A C; Dawson, Kyle; Delubac, Timothée; Ebelke, Garrett; Eisenstein, Daniel J; Engelke, Philip; Fan, Xiaohui; Ak, Nur Filiz; Finley, Hayley; Font-Ribera, Andreu; Ge, Jian; Gibson, Robert R; Hall, Patrick B; Hamann, Fred; Hennawi, Joseph F; Ho, Shirley; Hogg, David W; Ivezic, Zeljko; Jiang, Linhua; Kimball, Amy E; Kirkby, David; Kirkpatrick, Jessica A; Lee, Khee-Gan; Goff, Jean-Marc Le; Lundgren, Britt; MacLeod, Chelsea L; Malanushenko, Elena; Malanushenko, Viktor; Maraston, Claudia; McGreer, Ian D; McMahon, Richard G; Miralda-Escudé, Jordi; Muna, Demitri; Noterdaeme, Pasquier; Oravetz, Daniel; Palanque-Delabrouille, Nathalie; Pan, Kaike; Perez-Fournon, Ismaël; Pieri, Matthew M; Richards, Gordon T; Rollinde, Emmanuel; Sheldon, Erin S; Schlegel, David J; Schneider, Donald P; Slosar, Anze; Shelden, Alaina; Shen, Yue; Simmons, Audrey; Snedden, Stephanie; Suzuki, Nao; Tinker, Jeremy; Viel, Matteo; Weaver, Benjamin A; Weinberg, David H; White, Martin; Wood-Vasey, W Michael; Yèche, Christophe

2012-01-01T23:59:59.000Z

204

Total Space Heat-  

Gasoline and Diesel Fuel Update (EIA)

Survey: Energy End-Use Consumption Tables Total Space Heat- ing Cool- ing Venti- lation Water Heat- ing Light- ing Cook- ing Refrig- eration Office Equip- ment Com- puters Other...

205

NREL: Technology Transfer - NREL and SkyFuel Partnership Reflects Bright  

NLE Websites -- All DOE Office Websites (Extended Search)

NREL and SkyFuel Partnership Reflects Bright Future for Solar Energy NREL and SkyFuel Partnership Reflects Bright Future for Solar Energy In this video, NREL Principal Scientist Gary Jorgensen and SkyFuel Chief Technology Officer Randy Gee talk about their partnership to develop a thin film to substitute for bulkier glass mirrors on solar-collecting parabolic troughs. Get the Adobe Flash Player to see this video. Credit: Fireside Production More Information For more information about NREL's partnership with SkyFuel, read Award-Winning Reflector to Cut Solar Cost and New Solar Technology Concentrates on Cost, Efficiency. Learn more about NREL's Concentrating Solar Power Research. Printable Version Technology Transfer Home About Technology Transfer Technology Partnership Agreements Licensing Agreements Nondisclosure Agreements Research Facilities

206

Cloudy Sky RRTM Shortwave Radiative Transfer and Comparison to the Revised ECMWF Shortwave Model  

NLE Websites -- All DOE Office Websites (Extended Search)

Cloudy Sky RRTM Shortwave Radiative Transfer and Cloudy Sky RRTM Shortwave Radiative Transfer and Comparison to the Revised ECMWF Shortwave Model M. J. Iacono, J. S. Delamere, E. J. Mlawer, and S. A. Clough Atmospheric and Environmental Research, Inc. Lexington, Massachusetts J.-J. Morcrette European Centre for Medium-Range Weather Forecasts Reading, United Kingdom Introduction An important step toward improving radiative transfer codes in general circulation models (GCMs) is their thorough evaluation by comparison to measurements directly, or to other data-validated radiation models. This work extends the clear-sky shortwave (SW) GCM evaluation presented by Iacono et al. (2001) to computations including clouds. The rapid radiative transfer model (RRTM) SW radiation model accurately reproduces clear-sky direct beam fluxes from the Line-By-Line Radiative Transfer

207

Ancient Lava Flows Trap CO2 for Long-Term Storage in Big Sky...  

NLE Websites -- All DOE Office Websites (Extended Search)

3, 2013 Ancient Lava Flows Trap CO2 for Long-Term Storage in Big Sky Injection Photo by J.D. Griggs, courtesy of U.S.Geological Survey Photo by J.D. Griggs, courtesy of...

208

Spectrometer for Sky-Scanning Sun-Tracking Atmospheric Research (4STAR): Instrument Technology  

SciTech Connect

The Spectrometer for Sky-Scanning, Sun-Tracking Atmospheric Research (4STAR) combines airborne sun tracking and sky scanning with diffraction spectroscopy, to improve knowledge of atmospheric constituents and their links to air-pollution/climate. Direct beam hyper-spectral measurement of optical depth improves retrievals of gas constituents and determination of aerosol properties. Sky scanning enhances retrievals of aerosol type and size distribution. 4STAR measurements will tighten the closure between satellite and ground-based measurements. 4STAR incorporates a modular sun-tracking/ sky-scanning optical head with fiber optic signal transmission to rack mounted spectrometers, permitting miniaturization of the external optical head, and future detector evolution. Technical challenges include compact optical collector design, radiometric dynamic range and stability, and broad spectral coverage. Test results establishing the performance of the instrument against the full range of operational requirements are presented, along with calibration, engineering flight test, and scientific field campaign data and results.

Dunagan, Stephen; Johnson, Roy; Zavaleta, Jhony; Russell, P. B.; Schmid, Beat; Flynn, Connor J.; Redemann, Jens; Shinozuka, Yohei; Livingston, J.; Segal Rozenhaimer, Michal

2013-08-06T23:59:59.000Z

209

Lidar Determinations of Atmospheric Ice Crystal Layers at South Pole during Clear-Sky Precipitation  

Science Conference Proceedings (OSTI)

Results of lidar measurements of atmospheric ice crystal layers during 36 clear-sky precipitation events at South Pole (2850 m MSL) during the winter over the period March-November 1975 are presented and correlated with ice crystal replicator, ...

Vern N. Smiley; Bruce M. Whitcomb; Bruce M. Morley; Joseph A. Warburton

1980-09-01T23:59:59.000Z

210

A Variable Sky-View Platform for the Measurement of Ultraviolet Radiation  

Science Conference Proceedings (OSTI)

One of the more difficult tasks confronting atmospheric researchers today is the acquisition of long-term radiometric measurements that encapsulate variability in the sky hemisphere as well as time. High quality spatial measurements would allow ...

Christopher Kuchinke; Manuel Nunez

2003-08-01T23:59:59.000Z

211

Network-ready Camera System Development for All-Sky Observing System Background  

E-Print Network (OSTI)

be located on a rooftop and continually monitors the sky for flashes such as bright meteor fireballs, accuracy of time stamping 2. Research autonomous power options (e.g., solar cells). Considerations include

Johnson, Eric E.

212

A Calibrated Measurement of the Near-IR Continuum Sky Brightness Using Magellan/FIRE  

E-Print Network (OSTI)

We characterize the near-IR sky background from 308 observations with the Folded-port InfraRed Echellette (FIRE) spectrograph at Magellan. A subset of 105 observations selected to minimize lunar and thermal effects gives ...

Sullivan, Peter William

213

Climate Model–Simulated Diurnal Cycles in HIRS Clear-Sky Brightness Temperatures  

Science Conference Proceedings (OSTI)

Clear-sky brightness temperature measurements from the High-Resolution Infrared Radiation Sounder (HIRS) are simulated with two climate models via a radiative transfer code. The models are sampled along the HIRS orbit paths to derive diurnal ...

Ian A. MacKenzie; Simon F. B. Tett; Anders V. Lindfors

2012-09-01T23:59:59.000Z

214

The universe at extreme scale: multi-petaflop sky simulation on the BG/Q  

Science Conference Proceedings (OSTI)

Remarkable observational advances have established a compelling cross-validated model of the Universe. Yet, two key pillars of this model -- dark matter and dark energy -- remain mysterious. Next-generation sky surveys will map billions of galaxies to ...

Salman Habib; Vitali Morozov; Hal Finkel; Adrian Pope; Katrin Heitmann; Kalyan Kumaran; Tom Peterka; Joe Insley; David Daniel; Patricia Fasel; Nicholas Frontiere; Zarija Luki?

2012-11-01T23:59:59.000Z

215

Improved Simulation of Clear-Sky Shortwave Radiative Transfer in the CCC-GCM  

Science Conference Proceedings (OSTI)

The disposition of mean July clear-sky solar radiation in the Canadian Climate Centre second-generation general circulation model (CCC-GCMII) was analyzed by comparing top of the atmosphere (TOA) net fluxes with earth radiation budget experiment (...

Howard W. Barker; Zhanqing Li

1995-09-01T23:59:59.000Z

216

Clear-Sky Direct-Beam Solar Radiation Versus Altitude: A Proposal for Standard Soundings  

Science Conference Proceedings (OSTI)

The author reexamines Klein's (1948) quantitative statements relating clear-sky direct-beam solar radiation to altitude for the lower troposphere, which are of the form (transmissivity) = B + A log (altitude). Klein's summaries are judged to be ...

William P. Lowry

1980-11-01T23:59:59.000Z

217

Radiative Heat Transfer Analysis within Three-Dimensional Clouds Subjected to Solar and Sky Irradiation  

Science Conference Proceedings (OSTI)

A three-dimensional radiative heat transfer analysis of an arbitrary-shaped modeled cloud subjected to solar and sky irradiation has been performed. The Radiation Element Method by Ray Emission Model (REM2) was used for numerical simulation. ...

Toru Nishikawa; Shigenao Maruyama; Seigo Sakai

2004-12-01T23:59:59.000Z

218

Clear-Sky Window Channel Radiances: A Comparison between Observations and the ECMWF Model  

Science Conference Proceedings (OSTI)

A comparison of clear-sky radiances of the Meteosat window channel with the European Centre for Medium-Range Weather Forecasts (ECMWF) model results is presented, aiming to assess both the model's performance and the quality of the observations. ...

Isabel F. Trigo; Pedro Viterbo

2003-10-01T23:59:59.000Z

219

A Comparison of Computed and Observed Insolation under Clear Skies over the Pacific Ocean  

Science Conference Proceedings (OSTI)

In an effort to verify computational methods for ocean heat budgets, observations of insulation under clear skies for 26 days were compared with values computed by a formula previously derived from the Smithsonian Tables. The agreement between ...

R. K. Reed; R. E. Brainard

1983-06-01T23:59:59.000Z

220

On the Relationship between Clear-Sky Planetary and Surfae Albedos  

Science Conference Proceedings (OSTI)

Based on simulations, a simple linear relationship is derived between planetary albedo and the surface albedo for the case of clear skies. This relationship enables one to estimate the planetary albedo, given only the surface albedo, and vice ...

T. S. Chen; George Ohring

1984-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "total sky imager" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


221

U.S. Total Exports  

U.S. Energy Information Administration (EIA) Indexed Site

TX Roma, TX Total to Portugal Sabine Pass, LA Total to Russia Kenai, AK Total to South Korea Freeport, TX Sabine Pass, LA Total to Spain Cameron, LA Sabine Pass, LA Total to...

222

U.S. Total Exports  

Gasoline and Diesel Fuel Update (EIA)

Rio Bravo, TX Roma, TX Total to Portugal Sabine Pass, LA Total to Russia Total to South Korea Freeport, TX Sabine Pass, LA Total to Spain Cameron, LA Sabine Pass, LA Total to...

223

Galaxy Zoo 2: detailed morphological classifications for 304,122 galaxies from the Sloan Digital Sky Survey  

E-Print Network (OSTI)

We present the data release for Galaxy Zoo 2 (GZ2), a citizen science project with more than 16 million morphological classifications of 304,122 galaxies drawn from the Sloan Digital Sky Survey. Morphology is a powerful probe for quantifying a galaxy's dynamical history; however, automatic classifications of morphology (either by computer analysis of images or by using other physical parameters as proxies) still have drawbacks when compared to visual inspection. The large number of images available in current surveys makes visual inspection of each galaxy impractical for individual astronomers. GZ2 uses classifications from volunteer citizen scientists to measure morphologies for all galaxies in the DR7 Legacy survey with m_r>17, in addition to deeper images from SDSS Stripe 82. While the original Galaxy Zoo project identified galaxies as early-types, late-types, or mergers, GZ2 measures finer morphological features. These include bars, bulges, and the shapes of edge-on disks, as well as quantifying the relat...

Willett, Kyle W; Bamford, Steven P; Masters, Karen L; Simmons, Brooke D; Casteels, Kevin R V; Edmondson, Edward M; Fortson, Lucy F; Kaviraj, Sugata; Keel, William C; Melvin, Thomas; Nichol, Robert C; Raddick, M Jordan; Schawinski, Kevin; Simpson, Robert J; Skibba, Ramin A; Smith, Arfon M; Thomas, Daniel

2013-01-01T23:59:59.000Z

224

The Sloan Digital Sky Survey-II Supernova Survey:Search Algorithm and Follow-up Observations  

Science Conference Proceedings (OSTI)

The Sloan Digital Sky Survey-II Supernova Survey has identified a large number of new transient sources in a 300 deg2 region along the celestial equator during its first two seasons of a three-season campaign. Multi-band (ugriz) light curves were measured for most of the sources, which include solar system objects, Galactic variable stars, active galactic nuclei, supernovae (SNe), and other astronomical transients. The imaging survey is augmented by an extensive spectroscopic follow-up program to identify SNe, measure their redshifts, and study the physical conditions of the explosions and their environment through spectroscopic diagnostics. During the survey, light curves are rapidly evaluated to provide an initial photometric type of the SNe, and a selected sample of sources are targeted for spectroscopic observations. In the first two seasons, 476 sources were selected for spectroscopic observations, of which 403 were identified as SNe. For the Type Ia SNe, the main driver for the Survey, our photometric typing and targeting efficiency is 90%. Only 6% of the photometric SN Ia candidates were spectroscopically classified as non-SN Ia instead, and the remaining 4% resulted in low signal-to-noise, unclassified spectra. This paper describes the search algorithm and the software, and the real-time processing of the SDSS imaging data. We also present the details of the supernova candidate selection procedures and strategies for follow-up spectroscopic and imaging observations of the discovered sources.

Sako, Masao; /Pennsylvania U. /KIPAC, Menlo Park; Bassett, Bruce; /Cape Town U. /South African Astron. Observ.; Becker, Andrew; /Washington U., Seattle, Astron. Dept.; Cinabro, David; /Wayne State U.; DeJongh, Don Frederic; /Fermilab; Depoy, D.L.; /Ohio State U.; Doi, Mamoru; /Tokyo U.; Garnavich, Peter M.; /Notre Dame U.; Craig, Hogan, J.; /Washington U., Seattle, Astron. Dept.; Holtzman, Jon; /New Mexico State U.; Jha, Saurabh; /Stanford U., Phys. Dept.; Konishi, Kohki; /Tokyo U.; Lampeitl, Hubert; /Baltimore, Space Telescope Sci.; Marriner, John; /Fermilab; Miknaitis, Gajus; /Fermilab; Nichol, Robert C.; /Portsmouth U.; Prieto, Jose Luis; /Ohio State U.; Richmond, Michael W.; /Rochester Inst. Tech.; Schneider, Donald P.; /Penn State U., Astron. Astrophys.; Smith, Mathew; /Portsmouth U.; SubbaRao, Mark; /Chicago U. /Tokyo U. /Tokyo U. /South African Astron. Observ. /Tokyo U. /Apache Point Observ. /Seoul Natl. U. /Apache Point Observ. /Apache Point Observ. /Tokyo U. /Seoul Natl. U. /Apache Point Observ. /Apache Point Observ. /Apache Point Observ. /Apache Point Observ. /Apache Point Observ. /Apache Point Observ. /Apache Point Observ. /Apache Point Observ.

2007-09-14T23:59:59.000Z

225

Aerosol effects on red blue ratio of clear sky images, and impact on solar forecasting  

E-Print Network (OSTI)

all solar zenith angle within the time period, set and sun-all solar zenith angle within the time period, set and sun-at 0 to 30 sun-pixel angles to avoid solar beam radiation

Ghonima, Mohamed Sherif

2011-01-01T23:59:59.000Z

226

Aerosol effects on red blue ratio of clear sky images, and impact on solar forecasting  

E-Print Network (OSTI)

20 Table 4.3.1: COD, MBE and MAD for RBR estimate vs. RBRmodel, the coefficient of determination (COD) was calculatedas follows: COD is the measurment value, ? is the model

Ghonima, Mohamed Sherif

2011-01-01T23:59:59.000Z

227

Measuring overcast colors with all-sky imaging Raymond L. Lee, Jr.  

E-Print Network (OSTI)

and MODTRAN4 cannot explain these characteristic patterns, a simple semiempirical model based on the radiative experience with general-purpose radiative transfer models such as MODTRAN4 suggests that they can simulate, for a reasonable choice of input parameters, MODTRAN4 produces spectra that are nearly congruent with individual

Lee Jr., Raymond L.

228

Comparison of Cloud Cover from All-Sky Imager and Meteorological Observer  

Science Conference Proceedings (OSTI)

Naked-eye observation of cloud cover has widely resisted automation. Replacement of human observation by instruments is an inexorable trend for the development of ground-based macroscopic cloud observation. In this paper, cloud covers from an all-...

Juan Huo; Daren Lu

2012-08-01T23:59:59.000Z

229

21 briefing pages total  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

briefing pages total p. 1 briefing pages total p. 1 Reservist Differential Briefing U.S. Office of Personnel Management December 11, 2009 p. 2 Agenda - Introduction of Speakers - Background - References/Tools - Overview of Reservist Differential Authority - Qualifying Active Duty Service and Military Orders - Understanding Military Leave and Earnings Statements p. 3 Background 5 U.S.C. 5538 (Section 751 of the Omnibus Appropriations Act, 2009, March 11, 2009) (Public Law 111-8) Law requires OPM to consult with DOD Law effective first day of first pay period on or after March 11, 2009 (March 15 for most executive branch employees) Number of affected employees unclear p. 4 Next Steps

230

Barge Truck Total  

U.S. Energy Information Administration (EIA) Indexed Site

Barge Barge Truck Total delivered cost per short ton Shipments with transportation rates over total shipments Total delivered cost per short ton Shipments with transportation rates over total shipments Year (nominal) (real) (real) (percent) (nominal) (real) (real) (percent) 2008 $6.26 $5.77 $36.50 15.8% 42.3% $6.12 $5.64 $36.36 15.5% 22.2% 2009 $6.23 $5.67 $52.71 10.8% 94.8% $4.90 $4.46 $33.18 13.5% 25.1% 2010 $6.41 $5.77 $50.83 11.4% 96.8% $6.20 $5.59 $36.26 15.4% 38.9% Annual Percent Change First to Last Year 1.2% 0.0% 18.0% - - 0.7% -0.4% -0.1% - - Latest 2 Years 2.9% 1.7% -3.6% - - 26.6% 25.2% 9.3% - - - = No data reported or value not applicable STB Data Source: The Surface Transportation Board's 900-Byte Carload Waybill Sample EIA Data Source: Form EIA-923 Power Plant Operations Report

231

Summary Max Total Units  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Max Total Units Max Total Units *If All Splits, No Rack Units **If Only FW, AC Splits 1000 52 28 28 2000 87 59 35 3000 61 33 15 4000 61 33 15 Totals 261 153 93 ***Costs $1,957,500.00 $1,147,500.00 $697,500.00 Notes: added several refrigerants removed bins from analysis removed R-22 from list 1000lb, no Glycol, CO2 or ammonia Seawater R-404A only * includes seawater units ** no seawater units included *** Costs = (total units) X (estimate of $7500 per unit) 1000lb, air cooled split systems, fresh water Refrig Voltage Cond Unit IF-CU Combos 2 4 5 28 References Refrig Voltage C-U type Compressor HP R-404A 208/1/60 Hermetic SA 2.5 R-507 230/1/60 Hermetic MA 2.5 208/3/60 SemiHerm SA 1.5 230/3/60 SemiHerm MA 1.5 SemiHerm HA 1.5 1000lb, remote rack systems, fresh water Refrig/system Voltage Combos 12 2 24 References Refrig/system Voltage IF only

232

IS THE TWO MICRON ALL SKY SURVEY CLUSTERING DIPOLE CONVERGENT?  

Science Conference Proceedings (OSTI)

There is a long-standing controversy about the convergence of the dipole moment of the galaxy angular distribution (the so-called clustering dipole). Is the dipole convergent at all, and if so, what is the scale of the convergence? We study the growth of the clustering dipole of galaxies as a function of the limiting flux of the sample from the Two Micron All Sky Survey (2MASS). Contrary to some earlier claims, we find that the dipole does not converge before the completeness limit of the 2MASS Extended Source Catalog, i.e., up to 13.5 mag in the near-infrared K{sub s} band (equivalent to an effective distance of 300 Mpc h{sup -1}). We compare the observed growth of the dipole with the theoretically expected, conditional one (i.e., given the velocity of the Local Group relative to the cosmic microwave background), for the {Lambda}CDM power spectrum and cosmological parameters constrained by the Wilkinson Microwave Anisotropy Probe. The observed growth turns out to be within 1{sigma} confidence level of its theoretical counterpart once the proper observational window of the 2MASS flux-limited catalog is included. For a contrast, if the adopted window is a top hat, then the predicted dipole grows significantly faster and converges (within the errors) to its final value for a distance of about 300 Mpc h{sup -1}. By comparing the observational windows, we show that for a given flux limit and a corresponding distance limit, the 2MASS flux-weighted window passes less large-scale signal than the top-hat one. We conclude that the growth of the 2MASS dipole for effective distances greater than 200 Mpc h{sup -1} is only apparent. On the other hand, for a distance of 80 Mpc h{sup -1} (mean depth of the 2MASS Redshift Survey) and the {Lambda}CDM power spectrum, the true dipole is expected to reach only {approx}80% of its final value. Eventually, since for the window function of 2MASS the predicted growth is consistent with the observed one, we can compare the two to evaluate {beta} {identical_to} {Omega}{sub m}{sup 0.55}/b. The result is {beta} = 0.38 {+-} 0.04, which leads to an estimate of the density parameter {Omega}{sub m} = 0.20 {+-} 0.08.

Bilicki, Maciej; Chodorowski, Michal [Nicolaus Copernicus Astronomical Center, Polish Academy of Sciences, ul. Bartycka 18, 00-716, Warsaw (Poland); Jarrett, Thomas [Spitzer Science Center, California Institute of Technology, Pasadena, CA 91125 (United States); Mamon, Gary A., E-mail: bilicki@camk.edu.pl [Institut d'Astrophysique de Paris - UMR 7095 CNRS and UPMC, 98 bis Bd Arago, F-75014 Paris (France)

2011-11-01T23:59:59.000Z

233

The Sloan Digital Sky Survey Quasar Catalog III. Third Data Release  

E-Print Network (OSTI)

We present the third edition of the Sloan Digital Sky Survey (SDSS) Quasar Catalog. The catalog consists of the 46,420 objects in the SDSS Third Data Release that have luminosities larger than M_i = -22 (in a cosmology with H_0 = 70 km/s/Mpc, Omega_M = 0.3, and Omega_Lambda = 0.7), have at least one emission line with FWHM larger than 1000 km/s or are unambiguously broad absorption line quasars, are fainter than i = 15.0, and have highly reliable redshifts. The area covered by the catalog is 4188 sq. deg. The quasar redshifts range from 0.08 to 5.41, with a median value of 1.47; the high-redshift sample includes 520 quasars at redshifts greater than four, of which 17 are at redshifts greater than five. For each object the catalog presents positions accurate to better than 0.2 arcsec. rms per coordinate, five-band (ugriz) CCD-based photometry with typical accuracy of 0.03 mag, and information on the morphology and selection method. The catalog also contains radio, near-infrared, and X-ray emission properties of the quasars, when available, from other large-area surveys. The calibrated digital spectra cover the wavelength region 3800--9200A at a spectral resolution about 2000; the spectra can be retrieved from the public database using the information provided in the catalog. A total of 44,221 objects in the catalog were discovered by the SDSS; 28,400 of the SDSS discoveries are reported here for the first time.

D. P. Schneider; P. B. Hall; G. T. Richards; D. E. Vanden Berk; S. F. Anderson; X. Fan; S. Jester; C. Stoughton; M. A. Strauss; M. SubbaRao; W. Brandt; J. E. Gunn; B. Yanny; N. A. Bahcall; J. Barentine; M. R. Blanton; W. N. Boroski; H. J. Brewington; J. Brinkmann; R. Brunner; I. Csabai; M. Doi; D. J. Eisenstein; J. A. Frieman; M. Fukugita; J. Gray; M. Harvanek; T. M. Heckman; Željko Ivezi?; S. Kent; S. Kleinman; G. R. Knapp; R. G. Kron; J. Krzesinski; D. C. Long; J. Loveday; R. H. Lupton; B. Margon; J. A. Munn; E. H. Neilsen; H. Jo Newberg; P. R. Newman; R. Nichol; A. Nitta; J. R. Pier; C. M. Rockosi; D. H. Saxe; D. J. Schlegel; S. A. Snedden; A. S. Szalay; A. R. Thakar; A. Uomoto; D. G. York

2005-03-30T23:59:59.000Z

234

The Sloan Digital Sky Survey Quasar Catalog. 3. Third data release  

Science Conference Proceedings (OSTI)

We present the third edition of the Sloan Digital Sky Survey (SDSS) Quasar Catalog. The catalog consists of the 46,420 objects in the SDSS Third Data Release that have luminosities larger than M{sub i} = -22 (in a cosmology with H{sub 0} = 70 km s{sup -1} Mpc{sup -1}, {Omega}{sub M} = 0.3, and {Omega}{sub {Lambda}} = 0.7), have at least one emission line with FWHM larger than 1000 km s{sup -1} or are unambiguously broad absorption line quasars, are fainter than i = 15.0, and have highly reliable redshifts. The area covered by the catalog is {approx} 4188 deg{sup 2}. The quasar redshifts range from 0.08 to 5.41, with a median value of 1.47; the high-redshift sample includes 520 quasars at redshifts greater than four, of which 17 are at redshifts greater than five. For each object the catalog presents positions accurate to better than 0.2'' rms per coordinate, five-band (ugriz) CCD-based photometry with typical accuracy of 0.03 mag, and information on the morphology and selection method. The catalog also contains radio, near-infrared, and X-ray emission properties of the quasars, when available, from other large-area surveys. The calibrated digital spectra cover the wavelength region 3800-9200 at a spectral resolution of {approx} 2000; the spectra can be retrieved from the public database using the information provided in the catalog. A total of 44,221 objects in the catalog were discovered by the SDSS; 28,400 of the SDSS discoveries are reported here for the first time.

Schneider, Donald P.; Hall, Patrick B.; Richards, Gordon T.; Vanden Berk, Daniel E.; Anderson, Scott F.; Fan, Xiao-Hui; Jester, Sebastian; Stoughton, Chris; Strauss, Michael A.; SubbaRao, Mark; Brandt, W.N.; Gunn, James E.; Yanny, Brian; Bahcall, Neta A.; Barentine, J.C.; Blanton, Michael R.; Boroski, William N.; Brewington, Howard J.; Brinkmann, J.; Brunner, Robert; Csabai, Istvan; /Penn State U., Astron. Astrophys. /York U., Canada /Princeton U. Observ. /Washington U., Seattle, Astron. Dept. /Arizona U., Astron. Dept. - Steward Observ. /Fermilab /Chicago U., Astron. Astrophys. Ctr. /Adler Planetarium, Chicago /Apache Point Observ. /New York U. /Illinois U., Urbana, Astron. Dept. /Eotvos U. /Tokyo U., Astron. Dept. /Tokyo U., RESCEU /Tokyo U., ICRR /Princeton, Inst. Advanced Study /Microsoft, BARC /Johns Hopkins U. /Mt. Suhora Observ., Cracow /Sussex U., Astron. Ctr. /Baltimore, Space Telescope Sci.

2005-03-01T23:59:59.000Z

235

U.S. Total Exports  

Annual Energy Outlook 2012 (EIA)

NY Waddington, NY Sumas, WA Sweetgrass, MT Total to Chile Sabine Pass, LA Total to China Kenai, AK Sabine Pass, LA Total to India Freeport, TX Sabine Pass, LA Total to Japan...

236

Open Skies and monitoring a fissile materials cut-off treaty  

SciTech Connect

The Treaty on Open Skies (Open Skies) is intended among other things to provide, in the words of its preamble, means ``to facilitate the monitoring of compliance with existing or future arms control agreements.`` Open Skies permits overflights of the territory of member states by aircraft equipped with an array of sensors of various types. Their types and capabilities are treaty-limited. To find useful application in monitoring a cut-off treaty Open Skies would need to be amended. The number of signatories would need to be expanded so as to provide greater geographical coverage, and restrictions on sensor-array capabilities would need to be relaxed. To facilitate the detection of impending violations of a cut-off convention by Open Skies overflights, the data base provided by parties to the former should include among other things an enumeration of existing and former fuel cycle and research facilities including those converted to other uses, their precise geographic location, and a site plan.

Allentuck, J.; Lemley, J.R.

1995-09-01T23:59:59.000Z

237

Use of Aeronet Aerosol Retrievals to Calculate Clear-Sky Irradiance at the Surface  

NLE Websites -- All DOE Office Websites (Extended Search)

AERONET Aerosol Retrievals to AERONET Aerosol Retrievals to Calculate Clear-Sky Irradiance at the Surface G. L. Schuster National Aeronautics and Space Administration Langley Research Center Hampton, Virginia O. Dubovik National Aeronautics and Space Administration Goddard Space Flight Center Laboratory for Terrestrial Physics Greenbelt, Maryland Motivation The worldwide aerosol robotic network (AERONET) of ground-based radiometers was developed (in part) as a satellite validation tool (Holben et al. 1998). These sites utilize spectral sky-scanning radiometers, providing more information for aerosol retrievals than conventional sunphotometer measurements. The use of the almucantar sky radiance scans in conjunction with the aerosol optical thicknesses are the basis of the AERONET Dubovik retrievals, which provide the aerosol size

238

Tracking Santa With Our Eyes in the Sky | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Tracking Santa With Our Eyes in the Sky Tracking Santa With Our Eyes in the Sky Tracking Santa With Our Eyes in the Sky December 24, 2013 - 10:00am Addthis The Energy Department's Los Alamos National Lab is tracking Santa Claus as he circles the globe the night before Christmas. The Energy Department's Los Alamos National Lab is tracking Santa Claus as he circles the globe the night before Christmas. Michael Hess Michael Hess Former Digital Communications Specialist, Office of Public Affairs Every year since 1998, the Energy Department's Los Alamos National Lab has been using state-of-the-art technology to track Santa Claus as he circles the globe the night before Christmas. You'll be able to monitor St. Nick's journey here starting at 6 a.m. ET on Christmas Eve. Since Santa doesn't file his flight path with the Federal Aviation

239

Bluer Skies and Brighter Days: The U.S. and India Collaborate in First  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Bluer Skies and Brighter Days: The U.S. and India Collaborate in Bluer Skies and Brighter Days: The U.S. and India Collaborate in First Long-Term Climate Experiment Bluer Skies and Brighter Days: The U.S. and India Collaborate in First Long-Term Climate Experiment June 27, 2011 - 12:42pm Addthis ARM Mobile Facility instrumentation is installed in June 2011 at the ARIES Observatory in Nainital, India, for the Ganges Valley Aerosol Experiment (GVAX). | Courtesy of ARM.gov ARM Mobile Facility instrumentation is installed in June 2011 at the ARIES Observatory in Nainital, India, for the Ganges Valley Aerosol Experiment (GVAX). | Courtesy of ARM.gov Charles Rousseaux Charles Rousseaux Senior Writer, Office of Science What are the key facts? Energy Department's Atmospheric Radiation Measurement (ARM) Climate Research Facility recently deployed its mobile facility to

240

Ancient Lava Flows Trap CO2 for Long-Term Storage in Big Sky Injection |  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Ancient Lava Flows Trap CO2 for Long-Term Storage in Big Sky Ancient Lava Flows Trap CO2 for Long-Term Storage in Big Sky Injection Ancient Lava Flows Trap CO2 for Long-Term Storage in Big Sky Injection August 13, 2013 - 1:59pm Addthis Photo by J.D. Griggs, courtesy of U.S.Geological Survey Photo by J.D. Griggs, courtesy of U.S.Geological Survey For Additional Information To learn more about the carbon storage projects in which NETL is involved, please visit the NETL Carbon Storage website How can a prehistoric volcanic eruption help us reduce the amount of CO2 released into the atmosphere today? The answer is found in the basalt formations created by the lava - formations that can be used as sites for injecting carbon dioxide (CO2) captured from industrial sources in a process called carbon capture and storage (CCS).

Note: This page contains sample records for the topic "total sky imager" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


241

3.2B Pixel Camera to Shed Light on Southern Sky | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

3.2B Pixel Camera to Shed Light on Southern Sky 3.2B Pixel Camera to Shed Light on Southern Sky 3.2B Pixel Camera to Shed Light on Southern Sky July 24, 2012 - 10:56am Addthis This is an artist's rendering of the Large Synoptic Survey Telescope (LSST), the 8.4 meter wide-field telescope that the National Science Board recently approved to advance to its final design stage. Construction is expected to begin in 2014 and take about five years. | Photo courtesy of LSST Corporation. This is an artist's rendering of the Large Synoptic Survey Telescope (LSST), the 8.4 meter wide-field telescope that the National Science Board recently approved to advance to its final design stage. Construction is expected to begin in 2014 and take about five years. | Photo courtesy of LSST Corporation. Charles Rousseaux Charles Rousseaux

242

Ancient Lava Flows Trap CO2 for Long-Term Storage in Big Sky Injection |  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Ancient Lava Flows Trap CO2 for Long-Term Storage in Big Sky Ancient Lava Flows Trap CO2 for Long-Term Storage in Big Sky Injection Ancient Lava Flows Trap CO2 for Long-Term Storage in Big Sky Injection August 13, 2013 - 1:59pm Addthis Photo by J.D. Griggs, courtesy of U.S.Geological Survey Photo by J.D. Griggs, courtesy of U.S.Geological Survey For Additional Information To learn more about the carbon storage projects in which NETL is involved, please visit the NETL Carbon Storage website How can a prehistoric volcanic eruption help us reduce the amount of CO2 released into the atmosphere today? The answer is found in the basalt formations created by the lava - formations that can be used as sites for injecting carbon dioxide (CO2) captured from industrial sources in a process called carbon capture and storage (CCS).

243

A SEARCH FOR CONCENTRIC CIRCLES IN THE 7 YEAR WILKINSON MICROWAVE ANISOTROPY PROBE TEMPERATURE SKY MAPS  

SciTech Connect

In this Letter, we search for concentric circles with low variance in cosmic microwave background sky maps. The detection of such circles would hint at new physics beyond the current cosmological concordance model, which states that the universe is isotropic and homogeneous, and filled with Gaussian fluctuations. We first describe a set of methods designed to detect such circles, based on matched filters and {chi}{sup 2} statistics, and then apply these methods to the best current publicly available data, the 7 year Wilkinson Microwave Anisotropy Probe (WMAP) temperature sky maps. We compare the observations with an ensemble of 1000 Gaussian {Lambda}CDM simulations. Based on these tests, we conclude that the WMAP sky maps are fully compatible with the Gaussian and isotropic hypothesis as measured by low-variance ring statistics.

Wehus, I. K. [Department of Physics, University of Oslo, P.O. Box 1048 Blindern, N-0316 Oslo (Norway); Eriksen, H. K., E-mail: i.k.wehus@fys.uio.no [Institute of Theoretical Astrophysics, University of Oslo, P.O. Box 1029 Blindern, N-0315 Oslo (Norway)

2011-06-01T23:59:59.000Z

244

Total Sales of Kerosene  

U.S. Energy Information Administration (EIA) Indexed Site

End Use: Total Residential Commercial Industrial Farm All Other Period: End Use: Total Residential Commercial Industrial Farm All Other Period: Annual Download Series History Download Series History Definitions, Sources & Notes Definitions, Sources & Notes Show Data By: End Use Area 2007 2008 2009 2010 2011 2012 View History U.S. 492,702 218,736 269,010 305,508 187,656 81,102 1984-2012 East Coast (PADD 1) 353,765 159,323 198,762 237,397 142,189 63,075 1984-2012 New England (PADD 1A) 94,635 42,570 56,661 53,363 38,448 15,983 1984-2012 Connecticut 13,006 6,710 8,800 7,437 7,087 2,143 1984-2012 Maine 46,431 19,923 25,158 24,281 17,396 7,394 1984-2012 Massachusetts 7,913 3,510 5,332 6,300 2,866 1,291 1984-2012 New Hampshire 14,454 6,675 8,353 7,435 5,472 1,977 1984-2012

245

PRIMORDIAL GRAVITATIONAL WAVE DETECTABILITY WITH DEEP SMALL-SKY COSMIC MICROWAVE BACKGROUND EXPERIMENTS  

SciTech Connect

We use the Bayesian estimation on direct T - Q - U cosmic microwave background (CMB) polarization maps to forecast errors on the tensor-to-scalar power ratio r, and hence on primordial gravitational waves, as a function of sky coverage f{sub sky}. This map-based likelihood filters the information in the pixel-pixel space into the optimal combinations needed for r detection for cut skies, providing enhanced information over a first-step linear separation into a combination of E, B, and mixed modes, and ignoring the latter. With current computational power and for typical resolutions appropriate for r detection, the large matrix inversions required are accurate and fast. Our simulations explore two classes of experiments, with differing bolometric detector numbers, sensitivities, and observational strategies. One is motivated by a long duration balloon experiment like Spider, with pixel noise {proportional_to}{radical}(f{sub sky}) for a specified observing period. This analysis also applies to ground-based array experiments. We find that, in the absence of systematic effects and foregrounds, an experiment with Spider-like noise concentrating on f{sub sky} {approx} 0.02-0.2 could place a 2{sigma}{sub r} Almost-Equal-To 0.014 boundary ({approx}95% confidence level), which rises to 0.02 with an l-dependent foreground residual left over from an assumed efficient component separation. We contrast this with a Planck-like fixed instrumental noise as f{sub sky} varies, which gives a Galaxy-masked (f{sub sky} = 0.75) 2{sigma}{sub r} Almost-Equal-To 0.015, rising to Almost-Equal-To 0.05 with the foreground residuals. Using as the figure of merit the (marginalized) one-dimensional Shannon entropy of r, taken relative to the first 2003 WMAP CMB-only constraint, gives -2.7 bits from the 2012 WMAP9+ACT+SPT+LSS data, and forecasts of -6 bits from Spider (+ Planck); this compares with up to -11 bits for CMBPol, COrE, and PIXIE post-Planck satellites and -13 bits for a perfectly noiseless cosmic variance limited experiment. We thus confirm the wisdom of the current strategy for r detection of deeply probed patches covering the f{sub sky} minimum-error trough with balloon and ground experiments.

Farhang, M.; Bond, J. R.; Netterfield, C. B. [Department of Astronomy and Astrophysics, University of Toronto, 50 St. George, Toronto, ON M5S 3H4 (Canada); Dore, O. [Canadian Institute for Theoretical Astrophysics, 60 St. George, Toronto, ON M5S 3H8 (Canada)

2013-07-01T23:59:59.000Z

246

Full-sky correlation functions for CMB experiments with asymmetric window functions  

E-Print Network (OSTI)

We discuss full-sky convolution of the instrumental beam with the CMB sky signal in CMB single-dish and interferometry experiments, using the method (Challinor et al. 2000) that the measured temperature and polarization anisotropies are defined globally on the group manifold of the three-dimensional rotation by means of Wigner D-functions. We re-derive the anisotropy and polarization correlation functions incorporated with asymmetric window functions, which are then explicitly calculated for a single-dish elliptical Gaussian beam and an interferometric Gaussian beam.

Kin-Wang Ng

2004-09-01T23:59:59.000Z

247

Total Marketed Production ..............  

Gasoline and Diesel Fuel Update (EIA)

billion cubic feet per day) billion cubic feet per day) Total Marketed Production .............. 68.95 69.77 70.45 71.64 71.91 71.70 71.46 71.57 72.61 72.68 72.41 72.62 70.21 71.66 72.58 Alaska ......................................... 1.04 0.91 0.79 0.96 1.00 0.85 0.77 0.93 0.97 0.83 0.75 0.91 0.93 0.88 0.87 Federal GOM (a) ......................... 3.93 3.64 3.44 3.82 3.83 3.77 3.73 3.50 3.71 3.67 3.63 3.46 3.71 3.70 3.62 Lower 48 States (excl GOM) ...... 63.97 65.21 66.21 66.86 67.08 67.08 66.96 67.14 67.92 68.18 68.02 68.24 65.58 67.07 68.09 Total Dry Gas Production .............. 65.46 66.21 66.69 67.79 68.03 67.83 67.61 67.71 68.69 68.76 68.50 68.70 66.55 67.79 68.66 Gross Imports ................................ 8.48 7.60 7.80 7.95 8.27 7.59 7.96 7.91 7.89 7.17 7.61 7.73 7.96 7.93 7.60 Pipeline ........................................

248

Total Biofuels Consumption (2005 - 2009) Total annual biofuels...  

Open Energy Info (EERE)

Total Biofuels Consumption (2005 - 2009) Total annual biofuels consumption (Thousand Barrels Per Day) for 2005 - 2009 for over 230 countries and regions.      ...

249

NIST Image Gallery: Image Details  

Science Conference Proceedings (OSTI)

... Image Gallery : Image Details. 72 DPI Image 150 DPI Image No 300 DPI Version. Title: Frequency Comb, Ultrafast Laser. ...

250

NIST Image Gallery: Image Details  

Science Conference Proceedings (OSTI)

... Image Gallery : Image Details. 72 DPI Image 150 DPI Image No 300 DPI Version. Title: Iron-Based Superconductors. Description ...

251

NIST Image Gallery: Image Details  

Science Conference Proceedings (OSTI)

... Image Gallery : Image Details. 72 DPI Image 150 DPI Image No 300 DPI Version. Title: Space Weather Forecasts. Description ...

252

NIST Image Gallery: Image Details  

Science Conference Proceedings (OSTI)

... Image Gallery : Image Details. 72 DPI Image 150 DPI Image No 300 DPI Version. Title: Organic Solar Power. Description ...

253

IMAGE ORIENTATION DETECTION WITH INTEGRATED HUMAN PERCEPTION CUES (OR WHICH WAY IS UP)  

E-Print Network (OSTI)

IMAGE ORIENTATION DETECTION WITH INTEGRATED HUMAN PERCEPTION CUES (OR WHICH WAY IS UP) Lei Wang In this paper, we propose a set of human perceptual cues used jointly to automatically detect image orientation. The cues used are: orientation of faces, position of the sky, brighter regions, and textured objects

Chen, Yiling

254

NIST Image Gallery: Image Details  

Science Conference Proceedings (OSTI)

... 72 DPI Image © 150 DPI Image © 300 DPI Image ©. Title: Nanotechnology; Biotechnology/Health; Nanocrystals; Hwang. ...

255

Studying the Imaging Characteristics of Ultra Violet Imaging Telescope (UVIT) through Numerical Simulations  

E-Print Network (OSTI)

Ultra-Violet Imaging Telescope (UVIT) is one of the five payloads aboard the Indian Space Research Organization (ISRO)'s ASTROSAT space mission. The science objectives of UVIT are broad, extending from individual hot stars, star-forming regions to active galactic nuclei. Imaging performance of UVIT would depend on several factors in addition to the optics, e.g. resolution of the detectors, Satellite Drift and Jitter, image frame acquisition rate, sky background, source intensity etc. The use of intensified CMOS-imager based photon counting detectors in UVIT put their own complexity over reconstruction of the images. All these factors could lead to several systematic effects in the reconstructed images. A study has been done through numerical simulations with artificial point sources and archival image of a galaxy from GALEX data archive, to explore the effects of all the above mentioned parameters on the reconstructed images. In particular the issues of angular resolution, photometric accuracy and photometric...

Srivastava, Mudit K; Tandon, Shyam N

2009-01-01T23:59:59.000Z

256

A 15-year Simulation of the Clear-Sky Greenhouse Effect Using the ECMWF Reanalyses: Fluxes and Comparisons with ERBE  

Science Conference Proceedings (OSTI)

Results are presented from the project Clear-sky Longwave from ERA (CLERA), in which simulations were performed of clear-sky longwave fluxes and heating rates for the period 1979–93, based on data from the European Centre for Medium-Range Weather ...

A. Slingo; J. A. Pamment; M. J. Webb

1998-04-01T23:59:59.000Z

257

Total Space Heat-  

Gasoline and Diesel Fuel Update (EIA)

Released: September, 2008 Released: September, 2008 Total Space Heat- ing Cool- ing Venti- lation Water Heat- ing Light- ing Cook- ing Refrig- eration Office Equip- ment Com- puters Other All Buildings* ........................... 3,037 115 397 384 52 1,143 22 354 64 148 357 Building Floorspace (Square Feet) 1,001 to 5,000 ........................... 386 19 43 18 11 93 7 137 8 12 38 5,001 to 10,000 .......................... 262 12 35 17 5 83 4 56 6 9 35 10,001 to 25,000 ........................ 407 20 46 44 8 151 3 53 9 19 54 25,001 to 50,000 ........................ 350 15 55 50 9 121 2 34 7 16 42 50,001 to 100,000 ...................... 405 16 57 65 7 158 2 29 6 18 45 100,001 to 200,000 .................... 483 16 62 80 5 195 1 24 Q 31 56 200,001 to 500,000 .................... 361 8 51 54 5 162 1 9 8 19 43 Over 500,000 ............................. 383 8 47 56 3 181 2 12 8 23 43 Principal Building Activity

258

Imaging with Scattered Neutrons  

E-Print Network (OSTI)

We describe a novel experimental technique for neutron imaging with scattered neutrons. These scattered neutrons are of interest for condensed matter physics, because they permit to reveal the local distribution of incoherent and coherent scattering within a sample. In contrast to standard attenuation based imaging, scattered neutron imaging distinguishes between the scattering cross section and the total attenuation cross section including absorption. First successful low-noise millimeter-resolution images by scattered neutron radiography and tomography are presented.

H. Ballhausen; H. Abele; R. Gaehler; M. Trapp; A. Van Overberghe

2006-10-30T23:59:59.000Z

259

The Cosmic Lens All-Sky Survey:II. Gravitational lens candidate selection and follow-up  

E-Print Network (OSTI)

We report the final results of the search for gravitationally lensed flat-spectrum radio sources found in the combination of CLASS (Cosmic Lens All Sky Survey) and JVAS (Jodrell-Bank VLA Astrometric Survey). VLA observations of 16,503 sources have been made, resulting in the largest sample of arcsec-scale lens systems available. Contained within the 16,503 sources is a complete sample of 11,685 sources having two-point spectral indices between 1.4 and 5 GHz flatter than -0.5 and 5 GHz flux densities $\\geq$30 mJy. A subset of 8,958 sources form a well-defined statistical sample suitable for analysis of the lens statistics. We describe the systematic process by which 149 candidate lensed sources were picked from the statistical sample on the basis of possessing multiple compact components in the 0.2 arcsec-resolution VLA maps. Candidates were followed up with 0.05 arcsec resolution MERLIN and 0.003 arcsec VLBA observations at 5 GHz and rejected as lens systems if they failed well-defined surface brightness and/or morphological tests. Maps for all the candidates can be found on the World Wide Web at http://www.jb.man.ac.uk/research/gravlens/index.html We summarize the properties of each of the 22 gravitational lens systems in JVAS/CLASS. Twelve are double-image systems, nine are four-image systems and one is a six-image system. Thirteen constitute a statistically well-defined sample giving a point-source lensing rate of 1:690$\\pm$190. The interpretation of the results in terms of the properties of the lensing galaxy population and cosmological parameters will be published elsewhere. (Abridged)

I. W. A. Browne; P. N. Wilkinson; N. J. F. Jackson; S. T. Myers; C. D. Fassnacht; L. V. E. Koopmans; D. R. Marlow; M. Norbury; D. Rusin; C. M. Sykes; A. D. Biggs; R. D. Blandford; A. G. de Bruyn; K-H. Chae; P. Helbig; L. J. King; J. P. McKean; T. J. Pearson; P. M. Phillips; A. C. S. Readhead; E. Xanthopoulos; T. York

2002-11-04T23:59:59.000Z

260

Einstein@Home all-sky search for periodic gravitational waves in LIGO S5 data  

E-Print Network (OSTI)

This paper presents results of an all-sky search for periodic gravitational waves in the frequency range [50,1?190]??Hz and with frequency derivative range of ?[-20,1.1]×10[superscript -10]??Hz?s[superscript -1] for the ...

Barsotti, Lisa

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261

All-sky astrophysical component separation with Fast Independent Component Analysis (FastICA  

E-Print Network (OSTI)

We present a new, fast, algorithm for the separation of astrophysical components superposed in maps of the sky. The algorithm, based on the Independent Component Analysis (ICA) technique, is aimed at recovering both the spatial pattern and the frequency scalings of the emissions from statistically independent astrophysical processes, present along the line-of-sight, from multi-frequency observations, without any a priori assumption on properties of the components to be separated, except that all of them, but at most one, must have non-Gaussian distributions. The analysis starts from very simple toy-models of the sky emission in order to assess the quality of the reconstruction when inputs are well known and controlled. In particular we study the dependence of the results of separation conducted on and off the Galactic plane independently, showing that optimal separation is achieved for sky regions where components are smoothly distributed. Then we move to more realistic applications on simulated observations of the microwave sky with angular resolution and instrumental noise at the mean nominal

D. Maino; A. Farusi; C. Baccigalupi; F. Perrotta; L. Bedini

2002-01-01T23:59:59.000Z

262

Analog Sky Condition Forecasting Based on a k-nn Algorithm  

Science Conference Proceedings (OSTI)

Very short-range, cloudy–clear sky condition forecasts are important for a variety of military, civil, and commercial activities. In this investigation, an approach based on a k-nearest neighbors (k-nn) algorithm was developed and implemented to ...

Timothy J. Hall; Rachel N. Thessin; Greg J. Bloy; Carl N. Mutchler

2010-10-01T23:59:59.000Z

263

Clear-Sky Longwave Irradiance at the Earth’s Surface—Evaluation of Climate Models  

Science Conference Proceedings (OSTI)

An evaluation of the clear-sky longwave irradiance at the earth’s surface (LI) simulated in climate models and in satellite-based global datasets is presented. Algorithm-based estimates of LI, derived from global observations of column water ...

J. R. Garratt

2001-04-01T23:59:59.000Z

264

Comparison of Regional Clear-Sky Albedos Inferred from Satellite Observations and Model Computations  

Science Conference Proceedings (OSTI)

We have taken an important first step in validating climate models by comparing model and satellite inferred clear sky TOA (top-of-atmosphere) albedos. Model albodos were computed on a 1° × 1° latitude-longitude grid, allowing for variations in ...

B. P. Briegleb; P. Minnis; V. Ramanathan; E. Harrison

1986-02-01T23:59:59.000Z

265

Investigation of astrophysical phenomena in short time scales with "Pi of the Sky" apparatus  

E-Print Network (OSTI)

In this thesis the data analysis designed by author for the "Pi of the Sky" experiment is presented. The data analysis consists of data reduction and specific algorithms for identification of short time scale astrophysical processes. The algorithms have been tested and their efficiency has been determined and described. The "Pi of the Sky" prototype is collecting data since June 2004 and algorithms could be intensively studied and improved during over 700 nights. A few events of confirmed astrophysical origin and above 100 events in 10s time scale of unknown nature have been discovered. During the data collection period 3 Gamma Ray Bursts (out of 231) occurred in the field of view of the telescope, but no optical counterpart has been found. The upper limits for brightness of the optical counterpart have been determined. The continuous monitoring of the sky and own trigger for optical flashes allowed to determine limits on the number of GRBs without corresponding gamma-ray detection. This allowed determining limits on the ratio of emission collimation in optical and gamma bands, which is R >= 4.4. The perspectives of the full "Pi of the Sky" system has been studied and number of positive detections has been estimated on the level of ~ 2.5 events per year.

Marcin Sokolowski

2008-10-07T23:59:59.000Z

266

Evaluation of a Ground-Based Sky Camera System for Use inSurface Irradiance Measurement  

Science Conference Proceedings (OSTI)

This paper describes the evaluation of a ground-based sky camera system for studying the effect of clouds on the level of the ambient ultraviolet radiation. The system has been developed for research in the characterization of the effect of ...

Jeff Sabburg; Joe Wong

1999-06-01T23:59:59.000Z

267

A Statistical Exmination of Sky Cover Changes in the Contiguous United States  

Science Conference Proceedings (OSTI)

The Sette Weather Chart constructed in 1939 with data from 1900 to 1936 was used to describe the climatology of cloudless days and to predict cloudless days in the United States for 14 regions. When the data for days having 0.1 sky cover or less ...

William L. Seaver; James E. Lee

1987-01-01T23:59:59.000Z

268

Solar Irradiance Anomalies Caused by Clear-Sky Transmission Variations above Mauna Loa: 1958–99  

Science Conference Proceedings (OSTI)

The clear-sky transmission of the atmosphere contributes to determining the amount of solar irradiance that reaches various levels in the atmosphere, which in turn is fundamental to defining the climate of the earth. As of the end of 1999, ...

Ellsworth G. Dutton; Barry A. Bodhaine

2001-08-01T23:59:59.000Z

269

Total Space Heat-  

Gasoline and Diesel Fuel Update (EIA)

Revised: December, 2008 Revised: December, 2008 Total Space Heat- ing Cool- ing Venti- lation Water Heat- ing Light- ing Cook- ing Refrig- eration Office Equip- ment Com- puters Other All Buildings ............................. 91.0 33.0 7.2 6.1 7.0 18.7 2.7 5.3 1.0 2.2 7.9 Building Floorspace (Square Feet) 1,001 to 5,000 ........................... 99.0 30.7 6.7 2.7 7.1 13.9 7.1 19.9 1.1 1.7 8.2 5,001 to 10,000 .......................... 80.0 30.1 5.5 2.6 6.1 13.6 5.2 8.2 0.8 1.4 6.6 10,001 to 25,000 ........................ 71.0 28.2 4.5 4.1 4.1 14.5 2.3 4.5 0.8 1.6 6.5 25,001 to 50,000 ........................ 79.0 29.9 6.8 5.9 6.3 14.9 1.7 3.9 0.8 1.8 7.1 50,001 to 100,000 ...................... 88.7 31.6 7.6 7.6 6.5 19.6 1.7 3.4 0.7 2.0 8.1 100,001 to 200,000 .................... 104.2 39.1 8.2 8.9 7.9 22.9 1.1 2.9 Q 3.2 8.7 200,001 to 500,000 ....................

270

Total Space Heat-  

Gasoline and Diesel Fuel Update (EIA)

Revised: December, 2008 Revised: December, 2008 Total Space Heat- ing Cool- ing Venti- lation Water Heat- ing Light- ing Cook- ing Refrig- eration Office Equip- ment Com- puters Other All Buildings ............................. 91.0 33.0 7.2 6.1 7.0 18.7 2.7 5.3 1.0 2.2 7.9 Building Floorspace (Square Feet) 1,001 to 5,000 ........................... 99.0 30.7 6.7 2.7 7.1 13.9 7.1 19.9 1.1 1.7 8.2 5,001 to 10,000 .......................... 80.0 30.1 5.5 2.6 6.1 13.6 5.2 8.2 0.8 1.4 6.6 10,001 to 25,000 ........................ 71.0 28.2 4.5 4.1 4.1 14.5 2.3 4.5 0.8 1.6 6.5 25,001 to 50,000 ........................ 79.0 29.9 6.8 5.9 6.3 14.9 1.7 3.9 0.8 1.8 7.1 50,001 to 100,000 ...................... 88.7 31.6 7.6 7.6 6.5 19.6 1.7 3.4 0.7 2.0 8.1 100,001 to 200,000 .................... 104.2 39.1 8.2 8.9 7.9 22.9 1.1 2.9 Q 3.2 8.7 200,001 to 500,000 ....................

271

SDSS J0806+2006 and SDSS J1353+1138: Two New Gravitationally Lensed Quasars from the Sloan Digital Sky Survey  

E-Print Network (OSTI)

We report the discoveries of two, two-image gravitationally lensed quasars selected from the Sloan Digital Sky Survey: SDSS J0806+2006 at z_s=1.540 and SDSS J1353+1138 at z_s=1.629 with image separations of 1.40" and 1.41" respectively. Spectroscopic and optical/near-infrared imaging follow-up observations show that the quasar images have identical redshifts and possess extended objects between the images that are likely to be lens galaxies at z_l~0.6 in SDSS J0806+2006 and z_l~0.3 in SDSS J1353+1138. The field of SDSS J0806+2006 contains several nearby galaxies that may significantly perturb the system, and SDSS J1353+1138 has an extra component near its Einstein ring that is probably a foreground star. Simple mass models with reasonable parameters reproduce the quasar positions and fluxes of both systems.

Inada, N; Becker, R H; White, R L; Gregg, M D; Schechter, P L; Kawano, Y; Kochanek, C S; Richards, G T; Schneider, D P; Barentine, J C; Brewington, H J; Brinkmann, J; Harvanek, M; Kleinman, S J; Krzesínski, J; Long, D; Neilsen, E H; Nitta, A; Snedden, S A; York, D G; Inada, Naohisa; Oguri, Masamune; Becker, Robert H.; White, Richard L.; Gregg, Michael D.; Schechter, Paul L.; Kawano, Yozo; Kochanek, Christopher S.; Richards, Gordon T.; Schneider, Donald P.; Brewington, Howard J.; Harvanek, Michael; Krzesinski, Jurek; Long, Dan; Neilsen, Eric H.; Nitta, Atsuko; Snedden, Stephanie A.; York, Donald G.

2006-01-01T23:59:59.000Z

272

SDSS J0806+2006 and SDSS J1353+1138: Two New Gravitationally Lensed Quasars from the Sloan Digital Sky Survey  

E-Print Network (OSTI)

We report the discoveries of two, two-image gravitationally lensed quasars selected from the Sloan Digital Sky Survey: SDSS J0806+2006 at z_s=1.540 and SDSS J1353+1138 at z_s=1.629 with image separations of 1.40" and 1.41" respectively. Spectroscopic and optical/near-infrared imaging follow-up observations show that the quasar images have identical redshifts and possess extended objects between the images that are likely to be lens galaxies at z_l~0.6 in SDSS J0806+2006 and z_l~0.3 in SDSS J1353+1138. The field of SDSS J0806+2006 contains several nearby galaxies that may significantly perturb the system, and SDSS J1353+1138 has an extra component near its Einstein ring that is probably a foreground star. Simple mass models with reasonable parameters reproduce the quasar positions and fluxes of both systems.

Naohisa Inada; Masamune Oguri; Robert H. Becker; Richard L. White; Michael D. Gregg; Paul L. Schechter; Yozo Kawano; Christopher S. Kochanek; Gordon T. Richards; Donald P. Schneider; J. C. Barentine; Howard J. Brewington; J. Brinkmann; Michael Harvanek; S. J. Kleinman; Jurek Krzesinski; Dan Long; Eric H. Neilsen, Jr.; Atsuko Nitta; Stephanie A. Snedden; Donald G. York

2005-12-09T23:59:59.000Z

273

Sdss j0806+2006 and sdss j1353+1138: two new gravitationally lensed quasars from the sloan digital sky survey  

Science Conference Proceedings (OSTI)

We report the discoveries of two, two-image gravitationally lensed quasars selected from the Sloan Digital Sky Survey: SDSS J0806+2006 at z{sub s}=1.540 and SDSS J1353+1138 at z{sub s}=1.629 with image separations of 1.40'' and 1.41'' respectively. Spectroscopic and optical/near-infrared imaging follow-up observations show that the quasar images have identical redshifts and possess extended objects between the images that are likely to be lens galaxies at z{sub l} {approx} 0.6 in SDSS J0806+2006 and z{sub l} {approx} 0.3 in SDSS J1353+1138. The field of SDSS J0806+2006 contains several nearby galaxies that may significantly perturb the system, and SDSS J1353+1138 has an extra component near its Einstein ring that is probably a foreground star. Simple mass models with reasonable parameters reproduce the quasar positions and fluxes of both systems.

Inada, Naohisa; Oguri, Masamune; Becker, Robert H.; White, Richard L.; Gregg, Michael D.; Schechter, Paul L.; Kawano, Yozo; Kochanek, Christopher S.; Richards, Gordon T.; Schneider, Donald P.; Barentine, J.C.; Brewington, Howard J.; Brinkmann, J.; Harvanek, Michael; Kleinman, S.J.; Krzesinski, Jurek; Long, Dan; Neilsen, Eric H., Jr.; Nitta, Atsuko; Snedden, Stephanie A.; York, Donald G.; /Tokyo U., Inst. Astron. /Princeton U. Observ. /Tokyo U. /LLNL, Livermore /UC, Davis /Baltimore, Space Telescope Sci. /MIT, MKI /Nagoya U. /Ohio State U., Dept. Astron. /Johns Hopkins U. /Penn State U., Astron. Astrophys. /Apache Point Observ. /Mt. Suhora Observ., Cracow /Fermilab /Chicago U., Astron. Astrophys. Ctr. /Chicago U., EFI

2005-12-01T23:59:59.000Z

274

The MOXE X-ray all-sky monitor for Spectrum-X-Gamma  

SciTech Connect

MOXE is an X-ray all-sky monitor to be flown on the Russian Spectrum-X-Gamma satellite, to be launched in a few years. It will monitor several hundred X-ray sources on a daily basis, and will be the first instrument to monitor most of the X-ray sky most of the time. MOXE will alert users of more sensitive instruments on Russia`s giant high energy astrophysics observatory and of other instruments to transient activity. MOXE consists of an array of 6 X-ray pinhole cameras, sensitive from 3 to 25 keV, which views 4{pi} steradians (except for a 20{degree} {times} 80{degree} patch which includes the Sun). The pinhole apertures of 0.625 {times} 2.556 cm{sup 2} imply an angular resolution of 2{degree}.4 {times} 9{degree}.7 (on-axis). The MOXE hardware program includes an engineering model, now delivered, and a flight model. The flight instrument will mass approximately 118 kg and draw 38 Watts. For a non-focusing all-sky instrument that is limited by sky background, the limiting sensitivity is a function only of detector area. MOXE, with 6,000 cm{sup 2} of detector area, will, for a 24 hrs exposure, have a sensitivity of approximately 2 mCrab. MOXE distinguishes itself with respect to other all-sky monitors in its high duty cycle, thus being particularly sensitive to transient phenomena with time scales between minutes and hours.

In`t Zand, J.J.M.; Priedhorsky, W.C.; Moss, C.E. [and others

1994-08-01T23:59:59.000Z

275

Determination of Total Petroleum Hydrocarbons (TPH) Using Total Carbon Analysis  

SciTech Connect

Several methods have been proposed to replace the Freon(TM)-extraction method to determine total petroleum hydrocarbon (TPH) content. For reasons of cost, sensitivity, precision, or simplicity, none of the replacement methods are feasible for analysis of radioactive samples at our facility. We have developed a method to measure total petroleum hydrocarbon content in aqueous sample matrixes using total organic carbon (total carbon) determination. The total carbon content (TC1) of the sample is measured using a total organic carbon analyzer. The sample is then contacted with a small volume of non-pokar solvent to extract the total petroleum hydrocarbons. The total carbon content of the resultant aqueous phase of the extracted sample (TC2) is measured. Total petroleum hydrocarbon content is calculated (TPH = TC1-TC2). The resultant data are consistent with results obtained using Freon(TM) extraction followed by infrared absorbance.

Ekechukwu, A.A.

2002-05-10T23:59:59.000Z

276

U.S. Total Exports  

Gasoline and Diesel Fuel Update (EIA)

Babb, MT Havre, MT Port of Morgan, MT Pittsburg, NH Grand Island, NY Massena, NY Niagara Falls, NY Waddington, NY Sumas, WA Sweetgrass, MT Total to Chile Sabine Pass, LA Total to China Kenai, AK Sabine Pass, LA Total to India Freeport, TX Sabine Pass, LA Total to Japan Cameron, LA Kenai, AK Sabine Pass, LA Total to Mexico Douglas, AZ Nogales, AZ Calexico, CA Ogilby Mesa, CA Otay Mesa, CA Alamo, TX Clint, TX Del Rio, TX Eagle Pass, TX El Paso, TX Hidalgo, TX McAllen, TX Penitas, TX Rio Bravo, TX Roma, TX Total to Portugal Sabine Pass, LA Total to Russia Total to South Korea Freeport, TX Sabine Pass, LA Total to Spain Cameron, LA Sabine Pass, LA Total to United Kingdom Sabine Pass, LA Period: Monthly Annual

277

Energy Perspectives, Total Energy - Energy Information Administration  

Gasoline and Diesel Fuel Update (EIA)

Total Energy Total Energy Glossary › FAQS › Overview Data Monthly Annual Analysis & Projections this will be filled with a highchart PREVIOUSNEXT Energy Perspectives 1949-2011 September 2012 PDF | previous editions Release Date: September 27, 2012 Introduction Energy Perspectives is a graphical overview of energy history in the United States. The 42 graphs shown here reveal sweeping trends related to the Nation's production, consumption, and trade of energy from 1949 through 2011. Energy Flow, 2011 (Quadrillion Btu) Total Energy Flow diagram image For footnotes see here. Energy can be grouped into three broad categories. First, and by far the largest, is the fossil fuels-coal, petroleum, and natural gas. Fossil fuels have stored the sun's energy over millennia past, and it is primarily

278

A Survey of z>5.7 Quasars in the Sloan Digital Sky Survey IV: Discovery of Seven Additional Quasars  

E-Print Network (OSTI)

We present the discovery of seven quasars at z>5.7, selected from ~2000 deg^2 of multicolor imaging data of the Sloan Digital Sky Survey (SDSS). The new quasars have redshifts z from 5.79 to 6.13. Five are selected as part of a complete flux-limited sample in the SDSS Northern Galactic Cap; two have larger photometric errors and are not part of the complete sample. One of the new quasars, SDSS J1335+3533 (z=5.93), exhibits no emission lines; the 3-sigma limit on the rest-frame equivalent width of Ly alpha+NV line is 5 A. It is the highest redshift lineless quasar known, and could be a gravitational lensed galaxy, a BL Lac object or a new type of quasar. Two new z>6 quasars, SDSS 1250+3130 (z=6.13) and SDSS J1137+3549 (z=6.01), show deep Gunn-Peterson absorption gaps in Ly alpha. These gaps are narrower the complete Gunn-Peterson absorption troughs observed among quasars at z>6.2 and do not have complete Ly beta absorption.

Xiaohui Fan; Michael A. Strauss; Gordon T. Richards; Joseph F. Hennawi; Robert H. Becker; Richard L. White; Aleksandar M. Diamond-Stanic; Jennifer L. D onley; Linhua Jiang; J. Serena Kim; Marianne Vestergaard; Jason E. Young; James E. Gunn; Robert H. Lupton; Gillian R. Knapp; Donald P. Schneider; W. N. Brandt; Neta A. Bahcall; J. C. Barentine; J. Brinkmann; Howard J. Brewington; Masataka F ukugita; Michael Harvanek; S. J. Kleinman; Jurek Krzesinski; Dan Long; Eric H. N eilsen, Jr.; Atsuko Nitta; Stephanie A. Snedden; Wolfgang Voges

2005-12-04T23:59:59.000Z

279

A Survey of z>5.7 Quasars in the Sloan Digital Sky Survey IV: Discovery of Seven Additional Quasars  

E-Print Network (OSTI)

We present the discovery of seven quasars at z>5.7, selected from ~2000 deg^2 of multicolor imaging data of the Sloan Digital Sky Survey (SDSS). The new quasars have redshifts z from 5.79 to 6.13. Five are selected as part of a complete flux-limited sample in the SDSS Northern Galactic Cap; two have larger photometric errors and are not part of the complete sample. One of the new quasars, SDSS J1335+3533 (z=5.93), exhibits no emission lines; the 3-sigma limit on the rest-frame equivalent width of Ly alpha+NV line is 5 A. It is the highest redshift lineless quasar known, and could be a gravitational lensed galaxy, a BL Lac object or a new type of quasar. Two new z>6 quasars, SDSS 1250+3130 (z=6.13) and SDSS J1137+3549 (z=6.01), show deep Gunn-Peterson absorption gaps in Ly alpha. These gaps are narrower the complete Gunn-Peterson absorption troughs observed among quasars at z>6.2 and do not have complete Ly beta absorption.

Fan, X; Barentine, J C; Becker, R H; Brandt, W N; Brewington, H J; Brinkmann, J; Diamond-Stanic, A M; Gunn, J E; Harvanek, M; Hennawi, J F; Jiang, L; Kim, J S; Kleinman, S J; Knapp, G R; Krzesínski, J; Long, D; Lupton, R H; Nitta, A; Richards, G T; Schneider, D P; Snedden, S A; Strauss, M A; Vestergaard, M; Voges, W; White, R L; Young, J E; eilsen, E H N; onley, J L D; ukugita, M F; Bahcall, Neta A.; Becker, Robert H.; Brewington, Howard J.; Diamond-Stanic, Aleksandar M.; Fan, Xiaohui; Gunn, James E.; Harvanek, Michael; Hennawi, Joseph F.; Jiang, Linhua; Knapp, Gillian R.; Krzesinski, Jurek; Long, Dan; Lupton, Robert H.; Nitta, Atsuko; Richards, Gordon T.; Schneider, Donald P.; Snedden, Stephanie A.; Strauss, Michael A.; Vestergaard, Marianne; Voges, Wolfgang; White, Richard L.; Young, Jason E.; eilsen, Eric H. N; onley, Jennifer L. D; ukugita, Masataka F

2006-01-01T23:59:59.000Z

280

A Survey of z > 5.7 Quasars in the Sloan Digital Sky Survey IV: Discovery of Seven Additional Quasars  

Science Conference Proceedings (OSTI)

The authors present the discovery of seven quasars at z > 5.7, selected from {approx} 2000 deg{sup 2} of multicolor imaging data of the Sloan Digital Sky Survey (SDSS). The new quasars have redshifts z from 5.79 to 6.13. Five are selected as part of a complete flux-limited sample in the SDSS Northern Galactic Cap; two have larger photometric errors and are not part of the complete sample. One of the new quasars, SDSS J1335+3533 (z = 5.93), exhibits no emission lines; the 3-{sigma} limit on the rest-frame equivalent width of Ly{alpha}+NV line is 5 {angstrom}. It is the highest redshift lineless quasar known, and could be a gravitational lensed galaxy, a BL Lac object or a new type of quasar. Two new z > 6 quasars, SDSS 1250+3130 (z = 6.13) and SDSS J1137+3549 (z = 6.01), show deep Gunn-Peterson troughs in Ly{alpha}. These troughs are narrower than those observed among quasars at z > 6.2 and do not have complete Ly{beta} absorption.

Fan, X; Strauss, M A; Richards, G T; Hennawi, J F; Becker, R H; White, R L; Diamond-Stanic, A M; Donley, J L; Jiang, L; Kim, J S; Vestergaard, M; Young, J E; Gunn, J E; Lupton, R H; Knapp, G R; Schneider, D P; Brandt, W N; Bahcall, N A; Barentine, J C; Brinkmann, J; Brewington, H J; Fukugita, M; Harvanek, M; Kleinman, S J; Krzesinski, J; Long, D; Neilsen Jr., E H; Nitta, A; Snedden, S A; Voges, W

2006-01-05T23:59:59.000Z

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281

A survey of z > 5.7 quasars in the sloan digital sky survey. 4. discovery of seven additional quasars  

Science Conference Proceedings (OSTI)

We present the discovery of seven quasars at z > 5.7, selected from {approx}2000 deg{sup 2} of multicolor imaging data of the Sloan Digital Sky Survey (SDSS). The new quasars have redshifts z from 5.79 to 6.13. Five are selected as part of a complete flux-limited sample in the SDSS Northern Galactic Cap; two have larger photometric errors and are not part of the complete sample. One of the new quasars, SDSS J1335+3533 (z = 5.93), exhibits no emission lines; the 3-{sigma} limit on the rest-frame equivalent width of Ly{alpha} + NV line is 5 {angstrom}. It is the highest redshift lineless quasar known, and could be a gravitational lensed galaxy, a BL Lac object or a new type of quasar. Two new z > 6 quasars, SDSS 1250+3130 (z = 6.13) and SDSS J1137+3549 (z = 6.01), show deep Gunn-Peterson absorption gaps in Ly{alpha}. These gaps are narrower the complete Gunn-Peterson absorption troughs observed among quasars at z > 6.2 and do not have complete Ly{beta} absorption.

Fan, Xiao-Hui; Strauss, Michael A.; Richards, Gordon T.; Hennawi, Joseph F.; Becker, Robert H.; White, Richard L.; Diamond-Stanic, Aleksandar M.; onley, Jennifer L.D; Jiang, Lin-Hua; Kim, J.Serena; Vestergaard, Marianne; Young, Jason E.; Gunn, James E.; Lupton, Robert H.; Knapp, Gillian R.; Schneider, Donald P.; Brandt, W.N.; Bahcall, Neta A.; Barentine, J.C.; Brinkmann, J.; Brewington, Howard J.; /Arizona U., Astron. Dept. - Steward Observ. /Princeton U. Observ. /Johns Hopkins U. /UC, Berkeley, Astron. Dept. /UC, Davis /LLNL, Livermore /Baltimore, Space Telescope Sci. /Penn State U., Astron. Astrophys. /Apache Point Observ. /Tokyo U., ICRR /Mt. Suhora Observ., Cracow /Fermilab /Garching, Max Planck Inst., MPE

2005-12-01T23:59:59.000Z

282

All-sky search for gravitational-wave bursts in the first joint LIGO-GEO-Virgo run  

Science Conference Proceedings (OSTI)

We present results from an all-sky search for unmodeled gravitational-wave bursts in the data collected by the LIGO, GEO 600 and Virgo detectors between November 2006 and October 2007. The search is performed by three different analysis algorithms over the frequency band 50-6000 Hz. Data are analyzed for times with at least two of the four LIGO-Virgo detectors in coincident operation, with a total live time of 266 days. No events produced by the search algorithms survive the selection cuts. We set a frequentist upper limit on the rate of gravitational-wave bursts impinging on our network of detectors. When combined with the previous LIGO search of the data collected between November 2005 and November 2006, the upper limit on the rate of detectable gravitational-wave bursts in the 64-2048 Hz band is 2.0 events per year at 90% confidence. We also present event rate versus strength exclusion plots for several types of plausible burst waveforms. The sensitivity of the combined search is expressed in terms of the root-sum-squared strain amplitude for a variety of simulated waveforms and lies in the range 6x10{sup -22} Hz{sup -1/2} to 2x10{sup -20} Hz{sup -1/2}. This is the first untriggered burst search to use data from the LIGO and Virgo detectors together, and the most sensitive untriggered burst search performed so far.

Abadie, J.; Abbott, B. P.; Abbott, R.; Adhikari, R.; Ajith, P.; Anderson, S. B.; Araya, M.; Aso, Y.; Ballmer, S.; Betzwieser, J.; Billingsley, G.; Black, E.; Blackburn, J. K.; Bork, R.; Brooks, A. F.; Cannon, K. C.; Cardenas, L.; Cepeda, C.; Chalermsongsak, T.; Chatterji, S. [LIGO - California Institute of Technology, Pasadena, California 91125 (United States)

2010-05-15T23:59:59.000Z

283

All-sky search for gravitational-wave bursts in the second joint LIGO-Virgo run  

E-Print Network (OSTI)

We present results from a search for gravitational-wave bursts in the data collected by the LIGO and Virgo detectors between July 7, 2009 and October 20, 2010: data are analyzed when at least two of the three LIGO-Virgo detectors are in coincident operation, with a total observation time of 207 days. The analysis searches for transients of duration < 1 s over the frequency band 64-5000 Hz, without other assumptions on the signal waveform, polarization, direction or occurrence time. All identified events are consistent with the expected accidental background. We set frequentist upper limits on the rate of gravitational-wave bursts by combining this search with the previous LIGO-Virgo search on the data collected between November 2005 and October 2007. The upper limit on the rate of strong gravitational-wave bursts at the Earth is 1.3 events per year at 90% confidence. We also present upper limits on source rate density per year and Mpc^3 for sample populations of standard-candle sources. As in the previous joint run, typical sensitivities of the search in terms of the root-sum-squared strain amplitude for these waveforms lie in the range 5 10^-22 Hz^-1/2 to 1 10^-20 Hz^-1/2. The combination of the two joint runs entails the most sensitive all-sky search for generic gravitational-wave bursts and synthesizes the results achieved by the initial generation of interferometric detectors.

the LIGO Scientific Collaboration; the Virgo Collaboration; J. Abadie; B. P. Abbott; R. Abbott; T. D. Abbott; M. Abernathy; T. Accadia; F. Acernese; C. Adams; R. Adhikari; C. Affeldt; M. Agathos; K. Agatsuma; P. Ajith; B. Allen; E. Amador Ceron; D. Amariutei; S. B. Anderson; W. G. Anderson; K. Arai; M. A. Arain; M. C. Araya; S. M. Aston; P. Astone; D. Atkinson; P. Aufmuth; C. Aulbert; B. E. Aylott; S. Babak; P. Baker; G. Ballardin; S. Ballmer; J. C. B. Barayoga; D. Barker; F. Barone; B. Barr; L. Barsotti; M. Barsuglia; M. A. Barton; I. Bartos; R. Bassiri; M. Bastarrika; A. Basti; J. Batch; J. Bauchrowitz; Th. S. Bauer; M. Bebronne; D. Beck; B. Behnke; M. Bejger; M. G. Beker; A. S. Bell; A. Belletoile; I. Belopolski; M. Benacquista; J. M. Berliner; A. Bertolini; J. Betzwieser; N. Beveridge; P. T. Beyersdorf; I. A. Bilenko; G. Billingsley; J. Birch; R. Biswas; M. Bitossi; M. A. Bizouard; E. Black; J. K. Blackburn; L. Blackburn; D. Blair; B. Bland; M. Blom; O. Bock; T. P. Bodiya; C. Bogan; R. Bondarescu; F. Bondu; L. Bonelli; R. Bonnand; R. Bork; M. Born; V. Boschi; S. Bose; L. Bosi; B. Bouhou; S. Braccini; C. Bradaschia; P. R. Brady; V. B. Braginsky; M. Branchesi; J. E. Brau; J. Breyer; T. Briant; D. O. Bridges; A. Brillet; M. Brinkmann; V. Brisson; M. Britzger; A. F. Brooks; D. A. Brown; T. Bulik; H. J. Bulten; A. Buonanno; J. Burguet-Castell; D. Buskulic; C. Buy; R. L. Byer; L. Cadonati; G. Cagnoli; E. Calloni; J. B. Camp; P. Campsie; J. Cannizzo; K. Cannon; B. Canuel; J. Cao; C. D. Capano; F. Carbognani; L. Carbone; S. Caride; S. Caudill; M. Cavaglia; F. Cavalier; R. Cavalieri; G. Cella; C. Cepeda; E. Cesarini; O. Chaibi; T. Chalermsongsak; P. Charlton; E. Chassande-Mottin; S. Chelkowski; W. Chen; X. Chen; Y. Chen; A. Chincarini; A. Chiummo; H. Cho; J. Chow; N. Christensen; S. S. Y. Chua; C. T. Y. Chung; S. Chung; G. Ciani; D. E. Clark; J. Clark; J. H. Clayton; F. Cleva; E. Coccia; P. -F. Cohadon; C. N. Colacino; J. Colas; A. Colla; M. Colombini; A. Conte; R. Conte; D. Cook; T. R. Corbitt; M. Cordier; N. Cornish; A. Corsi; C. A. Costa; M. Coughlin; J. -P. Coulon; P. Couvares; D. M. Coward; M. Cowart; D. C. Coyne; J. D. E. Creighton; T. D. Creighton; A. M. Cruise; A. Cumming; L. Cunningham; E. Cuoco; R. M. Cutler; K. Dahl; S. L. Danilishin; R. Dannenberg; S. D'Antonio; K. Danzmann; V. Dattilo; B. Daudert; H. Daveloza; M. Davier; E. J. Daw; R. Day; T. Dayanga; R. De Rosa; D. DeBra; G. Debreczeni; W. Del Pozzo; M. del Prete; T. Dent; V. Dergachev; R. DeRosa; R. DeSalvo; S. Dhurandhar; L. Di Fiore; A. Di Lieto; I. Di Palma; M. Di Paolo Emilio; A. Di Virgilio; M. Diaz; A. Dietz; F. Donovan; K. L. Dooley; M. Drago; R. W. P. Drever; J. C. Driggers; Z. Du; J. -C. Dumas; T. Eberle; M. Edgar; M. Edwards; A. Effler; P. Ehrens; G. Endroczi; R. Engel; T. Etzel; K. Evans; M. Evans; T. Evans; M. Factourovich; V. Fafone; S. Fairhurst; Y. Fan; B. F. Farr; D. Fazi; H. Fehrmann; D. Feldbaum; F. Feroz; I. Ferrante; F. Fidecaro; L. S. Finn; I. Fiori; R. P. Fisher; R. Flaminio; M. Flanigan; S. Foley; E. Forsi; L. A. Forte; N. Fotopoulos; J. -D. Fournier; J. Franc; S. Frasca; F. Frasconi; M. Frede; M. Frei; Z. Frei; A. Freise; R. Frey; T. T. Fricke; D. Friedrich; P. Fritschel; V. V. Frolov; M. -K. Fujimoto; P. J. Fulda; M. Fyffe; J. Gair; M. Galimberti; L. Gammaitoni; J. Garcia; F. Garufi; M. E. Gaspar; G. Gemme; R. Geng; E. Genin; A. Gennai; L. A. Gergely; S. Ghosh; J. A. Giaime; S. Giampanis; K. D. Giardina; A. Giazotto; S. Gil; C. Gill; J. Gleason; E. Goetz; L. M. Goggin; G. Gonzalez; M. L. Gorodetsky; S. Gossler; R. Gouaty; C. Graef; P. B. Graff; M. Granata; A. Grant; S. Gras; C. Gray; N. Gray; R. J. S. Greenhalgh; A. M. Gretarsson; C. Greverie; R. Grosso; H. Grote; S. Grunewald; G. M. Guidi; R. Gupta; E. K. Gustafson; R. Gustafson; T. Ha; J. M. Hallam; D. Hammer; G. Hammond; J. Hanks; C. Hanna; J. Hanson; A. Hardt; J. Harms; G. M. Harry; I. W. Harry; E. D. Harstad; M. T. Hartman; K. Haughian; K. Hayama; J. -F. Hayau; J. Heefner; A. Heidmann; M. C. Heintze; H. Heitmann; P. Hello; M. A. Hendry; I. S. Heng; A. W. Heptonstall; V. Herrera; M. Hewitson; S. Hild; D. Hoak; K. A. Hodge; K. Holt; M. Holtrop; T. Hong; S. Hooper; D. J. Hosken; J. Hough; E. J. Howell; B. Hughey; S. Husa; S. H. Huttner; R. Inta; T. Isogai; A. Ivanov; K. Izumi; M. Jacobson; E. James; Y. J. Jang; P. Jaranowski; E. Jesse; W. W. Johnson; D. I. Jones; G. Jones; R. Jones; L. Ju; P. Kalmus; V. Kalogera; S. Kandhasamy; G. Kang; J. B. Kanner; R. Kasturi; E. Katsavounidis; W. Katzman; H. Kaufer; K. Kawabe; S. Kawamura; F. Kawazoe; D. Kelley; W. Kells; D. G. Keppel; Z. Keresztes; A. Khalaidovski; F. Y. Khalili; E. A. Khazanov; B. Kim; C. Kim; H. Kim; K. Kim; N. Kim; Y. -M. Kim; P. J. King; D. L. Kinzel; J. S. Kissel; S. Klimenko; K. Kokeyama; V. Kondrashov; S. Koranda; W. Z. Korth; I. Kowalska; D. Kozak; O. Kranz; V. Kringel; S. Krishnamurthy

2012-02-13T23:59:59.000Z

284

Low-Surface-Brightness Galaxies in the Sloan Digital Sky Survey. I. Search Method and Test Sample  

E-Print Network (OSTI)

In this paper we present results of a pilot study to use imaging data from the Sloan Digital Sky Survey (SDSS) to search for low-surface-brightness (LSB) galaxies. For our pilot study we use a test sample of 92 galaxies from the catalog of Impey et al. (1996) distributed over 93 SDSS fields of the Early Data Release (EDR). Many galaxies from the test sample are either LSB or dwarf galaxies. To deal with the SDSS data most effectively a new photometry software was created, which is described in this paper. We present the results of the selection algorithms applied to these 93 EDR fields. Two galaxies from the Impey et al. test sample are very likely artifacts, as confirmed by follow-up imaging. With our algorithms, we were able to recover 87 of the 90 remaining test sample galaxies, implying a detection rate of $\\sim$96.5%. The three missed galaxies fall too close to very bright stars or galaxies. In addition, 42 new galaxies with parameters similar to the test sample objects were found in these EDR fields (i.e., $\\sim$47% additional galaxies). We present the main photometric parameters of all identified galaxies and carry out first statistical comparisons. We tested the quality of our photometry by comparing the magnitudes for our test sample galaxies and other bright galaxies with values from the literature. All these tests yielded consistent results. We briefly discuss a few unusual galaxies found in our pilot study, including an LSB galaxy with a two-component disk and ten new giant LSB galaxies.

Alexei Y. Kniazev; Eva K. Grebel; Simon A. Pustilnik; Alexander G. Pramskij; Tamara F. Kniazeva; Francisco Prada; Daniel Harbeck

2003-10-22T23:59:59.000Z

285

Combinatorial aspects of total positivity  

E-Print Network (OSTI)

In this thesis I study combinatorial aspects of an emerging field known as total positivity. The classical theory of total positivity concerns matrices in which all minors are nonnegative. While this theory was pioneered ...

Williams, Lauren Kiyomi

2005-01-01T23:59:59.000Z

286

Total correlations and mutual information  

E-Print Network (OSTI)

In quantum information theory it is generally accepted that quantum mutual information is an information-theoretic measure of total correlations of a bipartite quantum state. We argue that there exist quantum states for which quantum mutual information cannot be considered as a measure of total correlations. Moreover, for these states we propose a different way of quantifying total correlations.

Zbigniew Walczak

2008-06-30T23:59:59.000Z

287

All-sky astrophysical component separation with Fast Independent Component Analysis (FastICA)  

E-Print Network (OSTI)

We present a new, fast, algorithm for the separation of astrophysical components superposed in maps of the sky, based on the fast Independent Component Analysis technique (FastICA). It allows to recover both the spatial pattern and the frequency scalings of the emissions from statistically independent astrophysical processes, present along the line-of-sight, from multi-frequency observations. We apply FastICA to simulated observations of the microwave sky with angular resolution and instrumental noise at the mean nominal levels for the Planck satellite, containing the most important known diffuse signals: the Cosmic Microwave Background (CMB), Galactic synchrotron, dust and free-free emissions. A method for calibrating the reconstructed maps of each component at each frequency has been devised. The spatial pattern of all the components have been recovered on all scales probed by the instrument. In particular, the CMB angular power spectra is recovered at the percent level up to $\\ell_{max}\\simeq 2000$. Freque...

Maino, D; Baccigalupi, C; Perrotta, F; Banday, A J; Bedini, L; Burigana, C; Zotti, G D; Górski, K M; Salerno, E

2001-01-01T23:59:59.000Z

288

Spectrometer for Sky-Scanning, Sun-Tracking Atmospheric Research (4STAR)  

NLE Websites -- All DOE Office Websites (Extended Search)

Ames: Phil Russell, Jens Redemann, NASA Ames: Phil Russell, Jens Redemann, Ames: Phil Russell, Jens Redemann, NASA Ames: Phil Russell, Jens Redemann, Steve Dunagan, Roy Johnson: Steve Dunagan, Roy Johnson: Battelle PND: Connor Flynn, Beat Schmid, Battelle PND: Connor Flynn, Beat Schmid, Evgueni Kassianov Evgueni Kassianov NASA GSFC: Alexander Sinyuk, Brent NASA GSFC: Alexander Sinyuk, Brent Holben Holben , , & AERONET Team & AERONET Team Collaboration involving: Collaboration involving: NASA Ames, Battelle PND, NASA GSFC NASA Ames, Battelle PND, NASA GSFC 4S 4S TAR TAR : : S S pectrometer for pectrometer for S S ky ky - - S S canning, canning, S S un un - - T T racking racking A A tmospheric tmospheric R R esearch esearch 4STAR: 4STAR: Spectrometer Spectrometer for for Sky Sky - - Scanning Scanning , , Sun Sun - - Tracking Tracking Atmospheric Research Atmospheric Research

289

The Wisconsin H-Alpha Mapper Northern Sky Survey of Galactic Ionized Hydrogen  

E-Print Network (OSTI)

The Wisconsin H-Alpha Mapper (WHAM) has completed a one-degree resolution, velocity-resolved northern sky survey of H-alpha emission from our Galaxy. The unprecedented sensitivity of the instrument and accurate spectral subtraction of atmospheric features allow us to detect Galactic features as faint as 0.1 Rayleighs (EM ~ 0.25 cm^{-6} pc). This survey allows a direct comparison of the ionized and neutral components of the ISM on a global scale for the first time. All-sky maps of H-alpha emission in select velocity bands highlight the rich kinematic structure of the Galaxy's ionized gas. The full set of data from the WHAM survey is now available at http://www.astro.wisc.edu/wham/. (abridged)

G. J. Madsen; L. M. Haffner; R. J. Reynolds

2001-12-10T23:59:59.000Z

290

CGRaBS: An All-Sky Survey of Gamma-Ray Blazar Candidates  

E-Print Network (OSTI)

We describe a uniform all-sky survey of bright blazars, selected primarily by their flat radio spectra, that is designed to provide a large catalog of likely gamma-ray AGN. The defined sample has 1625 targets with radio and X-ray properties similar to those of the EGRET blazars, spread uniformly across the |b| > 10 deg sky. We also report progress toward optical characterization of the sample; of objects with known R < 23, 85% have been classified and 81% have measured redshifts. One goal of this program is to focus attention on the most interesting (e.g., high redshift, high luminosity, ...) sources for intensive multiwavelength study during the observations by the Large Area Telescope (LAT) on GLAST.

Healey, Stephen E; Cotter, Garret; Michelson, Peter F; Schlafly, Edward F; Readhead, Anthony C S; Giommi, Paolo; Chaty, Sylvain; Grenier, Isabelle A; Weintraub, Lawrence C

2007-01-01T23:59:59.000Z

291

Tests for Non-Gaussian Statistics in the DMR Four-Year Sky Maps  

E-Print Network (OSTI)

We search the high-latitude portion of the COBE Differential Microwave Radiometers (DMR) 4-year sky maps for evidence of a non-Gaussian temperature distribution in the cosmic microwave background. The genus, 3-point correlation function, and 2-point correlation function of temperature maxima and minima are all in excellent agreement with the hypothesis that the CMB anisotropy on angular scales of 7 degrees or larger represents a random-phase Gaussian field. A likelihood comparison of the DMR sky maps to a set of random-phase non-Gaussian toy models selects the exact Gaussian model as most likely. Monte Carlo simulations show that the 2-point correlation of the peaks and valleys in the maps provides the greatest discrimination among the class of models tested.

A. Kogut; A. J. Banday; C. L. Bennett; K. Gorski; G. Hinshaw; G. F. Smoot; E. L. Wright

1996-01-12T23:59:59.000Z

292

NIST Image Gallery: Image Details  

Science Conference Proceedings (OSTI)

... 72 DPI Image © 150 DPI Image © 300 DPI Image ©. Title: Quantum Physics; Quantum Communications; Ultrafast Photon Detector; Nam. ...

293

NIST Image Gallery: Image Details  

Science Conference Proceedings (OSTI)

... 72 DPI Image © 150 DPI Image © 300 DPI Image ©. Title: Energy; Fossil Fuels;Distillation Curves for Complex Fuel Mixtures. ...

294

NIST Image Gallery: Image Details  

Science Conference Proceedings (OSTI)

... 72 DPI Image © 150 DPI Image © 300 DPI Image ©. Title: Scanning Electron Microscope with Spin Polarization Analysis. ...

295

NIST Image Gallery: Image Details  

Science Conference Proceedings (OSTI)

... 72 DPI Image © 150 DPI Image © 300 DPI Image ©. Title: Metrology, Basic Units; Mass; Electronic Kilogram. Description ...

296

NIST Image Gallery: Image Details  

Science Conference Proceedings (OSTI)

... nist.gov. 72 DPI Image © 150 DPI Image © 300 DPI Image ©. Title: Public safety & Smart Grid. Description: Electrical engineer ...

297

All-sky astrophysical component separation with Fast Independent Component Analysis (FastICA)  

E-Print Network (OSTI)

We present a new, fast, algorithm for the separation of astrophysical components superposed in maps of the sky, based on the fast Independent Component Analysis technique (FastICA). It allows to recover both the spatial pattern and the frequency scalings of the emissions from statistically independent astrophysical processes, present along the line-of-sight, from multi-frequency observations. We apply FastICA to simulated observations of the microwave sky with angular resolution and instrumental noise at the mean nominal levels for the Planck satellite, containing the most important known diffuse signals: the Cosmic Microwave Background (CMB), Galactic synchrotron, dust and free-free emissions. A method for calibrating the reconstructed maps of each component at each frequency has been devised. The spatial pattern of all the components have been recovered on all scales probed by the instrument. In particular, the CMB angular power spectra is recovered at the percent level up to $\\ell_{max}\\simeq 2000$. Frequency scalings and normalization have been recovered with better than percent precision for all the components at frequencies and in sky regions where their signal-to-noise ratio exceeds 1.5; the error increases at ten percent level for signal-to-noise ratios about 1. Runs have been performed on a Pentium III 600 MHz computer; FastICA typically took a time of the order of 10 minutes for all-sky simulations with 3.5 arcminutes pixel size. We conclude that FastICA is an extremly promising technique for analyzing the maps that will be obtained by the forthcoming high resolution CMB experiments.

D. Maino; A. Farusi; C. Baccigalupi; F. Perrotta; A. J. Banday; L. Bedini; C. Burigana; G. De Zotti; K. M. Gorski; E. Salerno

2001-08-22T23:59:59.000Z

298

NIST Image Gallery: Image Details  

Science Conference Proceedings (OSTI)

... Image Gallery : Image Details. 72 DPI Image No 150 DPI Version 300 DPI Image. Title: Ultrafast Laser Speeds Up Quest for Atomic Control. ...

299

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Science Conference Proceedings (OSTI)

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300

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Science Conference Proceedings (OSTI)

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301

Neural networks and separation of background and foregrounds in astrophysical sky maps  

E-Print Network (OSTI)

The Independent Component Analysis (ICA) algorithm is implemented as a neural network for separating signals of different origin in astrophysical sky maps. Due to its self-organizing capability, it works without prior assumptions on the signals, neither on their frequency scaling, nor on the signal maps themselves; instead, it learns directly from the input data how to separate the physical components, making use of their statistical independence. To have a first insight into the capabilities of this approach, we apply the ICA algorithm on sky patches, taken from simulations and observations, at the microwave frequencies, that are going to be deeply explored in a few years on the whole sky, by the Microwave Anisotropy Probe (MAP) and by the Planck Surveyor Satellite. The maps are at the frequencies of the Low Frequency Instrument (LFI) aboard the Planck satellite (30, 44, 70 and 100 GHz), and contain simulated astrophysical radio sources, Cosmic Microwave Background (CMB) radiation, and Galactic diffuse emissions from thermal dust and synchrotron. We show that the ICA algorithm is able to recover each

C. Baccigalupi; L. Bedini; C. Burigana; G. De Zotti; A. Farusi; D. Maino; M. Maris; F. Perrotta; E. Salerno; L. Toffolatti; A. Tonazzini

2008-01-01T23:59:59.000Z

302

All-sky Search for Periodic Gravitational Waves in the Full S5 LIGO Data  

E-Print Network (OSTI)

We report on an all-sky search for periodic gravitational waves in the frequency band 50-800 Hz and with the frequency time derivative in the range of 0 through -6e-9 Hz/s. Such a signal could be produced by a nearby spinning and slightly non-axisymmetric isolated neutron star in our galaxy. After recent improvements in the search program that yielded a 10x increase in computational efficiency, we have searched in two years of data collected during LIGO's fifth science run and have obtained the most sensitive all-sky upper limits on gravitational wave strain to date. Near 150 Hz our upper limit on worst-case linearly polarized strain amplitude $h_0$ is 1e-24, while at the high end of our frequency range we achieve a worst-case upper limit of 3.8e-24 for all polarizations and sky locations. These results constitute a factor of two improvement upon previously published data. A new detection pipeline utilizing a Loosely Coherent algorithm was able to follow up weaker outliers, increasing the volume of space where signals can be detected by a factor of 10, but has not revealed any gravitational wave signals. The pipeline has been tested for robustness with respect to deviations from the model of an isolated neutron star, such as caused by a low-mass or long-period binary companion.

J. Abadie; B. P. Abbott; R. Abbott; T. D. Abbott; M. Abernathy; T. Accadia; F. Acernese; C. Adams; R. Adhikari; C. Affeldt; P. Ajith; B. Allen; G. S. Allen; E. Amador Ceron; D. Amariutei; R. S. Amin; S. B. Anderson; W. G. Anderson; K. Arai; M. A. Arain; M. C. Araya; S. M. Aston; P. Astone; D. Atkinson; P. Aufmuth; C. Aulbert; B. E. Aylott; S. Babak; P. Baker; G. Ballardin; S. Ballmer; D. Barker; F. Barone; B. Barr; P. Barriga; L. Barsotti; M. Barsuglia; M. A. Barton; I. Bartos; R. Bassiri; M. Bastarrika; A. Basti; J. Batch; J. Bauchrowitz; Th. S. Bauer; M. Bebronne; B. Behnke; M. G. Beker; A. S. Bell; A. Belletoile; I. Belopolski; M. Benacquista; J. M. Berliner; A. Bertolini; J. Betzwieser; N. Beveridge; P. T. Beyersdorf; I. A. Bilenko; G. Billingsley; J. Birch; R. Biswas; M. Bitossi; M. A. Bizouard; E. Black; J. K. Blackburn; L. Blackburn; D. Blair; B. Bland; M. Blom; O. Bock; T. P. Bodiya; C. Bogan; R. Bondarescu; F. Bondu; L. Bonelli; R. Bonnand; R. Bork; M. Born; V. Boschi; S. Bose; L. Bosi; B. Bouhou; S. Braccini; C. Bradaschia; P. R. Brady; V. B. Braginsky; M. Branchesi; J. E. Brau; J. Breyer; T. Briant; D. O. Bridges; A. Brillet; M. Brinkmann; V. Brisson; M. Britzger; A. F. Brooks; D. A. Brown; A. Brummit; T. Bulik; H. J. Bulten; A. Buonanno; J. Burguet--Castell; O. Burmeister; D. Buskulic; C. Buy; R. L. Byer; L. Cadonati; G. Cagnoli; J. Cain; E. Calloni; J. B. Camp; P. Campsie; J. Cannizzo; K. Cannon; B. Canuel; J. Cao; C. D. Capano; F. Carbognani; S. Caride; S. Caudill; M. Cavaglià; F. Cavalier; R. Cavalieri; G. Cella; C. Cepeda; E. Cesarini; O. Chaibi; T. Chalermsongsak; E. Chalkley; P. Charlton; E. Chassande-Mottin; S. Chelkowski; Y. Chen; A. Chincarini; A. Chiummo; H. Cho; N. Christensen; S. S. Y. Chua; C. T. Y. Chung; S. Chung; G. Ciani; F. Clara; D. E. Clark; J. Clark; J. H. Clayton; F. Cleva; E. Coccia; P. -F. Cohadon; C. N. Colacino; J. Colas; A. Colla; M. Colombini; A. Conte; R. Conte; D. Cook; T. R. Corbitt; M. Cordier; N. Cornish; A. Corsi; C. A. Costa; M. Coughlin; J. -P. Coulon; P. Couvares; D. M. Coward; D. C. Coyne; J. D. E. Creighton; T. D. Creighton; A. M. Cruise; A. Cumming; L. Cunningham; E. Cuoco; R. M. Cutler; K. Dahl; S. L. Danilishin; R. Dannenberg; S. D'Antonio; K. Danzmann; V. Dattilo; B. Daudert; H. Daveloza; M. Davier; G. Davies; E. J. Daw; R. Day; T. Dayanga; R. De Rosa; D. DeBra; G. Debreczeni; J. Degallaix; W. Del Pozzo; M. del Prete; T. Dent; V. Dergachev; R. DeRosa; R. DeSalvo; S. Dhurandhar; L. Di Fiore; A. Di Lieto; I. Di Palma; M. Di Paolo Emilio; A. Di Virgilio; M. Díaz; A. Dietz; F. Donovan; K. L. Dooley; S. Dorsher; M. Drago; R. W. P. Drever; J. C. Driggers; Z. Du; J. -C. Dumas; S. Dwyer; T. Eberle; M. Edgar; M. Edwards; A. Effler; P. Ehrens; G. Endr?czi; R. Engel; T. Etzel; K. Evans; M. Evans; T. Evans; M. Factourovich; V. Fafone; S. Fairhurst; Y. Fan; B. F. Farr; W. Farr; D. Fazi; H. Fehrmann; D. Feldbaum; I. Ferrante; F. Fidecaro; L. S. Finn; I. Fiori; R. P. Fisher; R. Flaminio; M. Flanigan; S. Foley; E. Forsi; L. A. Forte; N. Fotopoulos; J. -D. Fournier; J. Franc; S. Frasca; F. Frasconi; M. Frede; M. Frei; Z. Frei; A. Freise; R. Frey; T. T. Fricke; D. Friedrich; P. Fritschel; V. V. Frolov; P. J. Fulda; M. Fyffe; M. Galimberti; L. Gammaitoni; M. R. Ganija; J. Garcia; J. A. Garofoli; F. Garufi; M. E. Gáspár; G. Gemme; R. Geng; E. Genin; A. Gennai; L. Á. Gergely; S. Ghosh; J. A. Giaime; S. Giampanis; K. D. Giardina; A. Giazotto; C. Gill; E. Goetz; L. M. Goggin; G. González; M. L. Gorodetsky; S. Goßler; R. Gouaty; C. Graef; M. Granata; A. Grant; S. Gras; C. Gray; N. Gray; R. J. S. Greenhalgh; A. M. Gretarsson; C. Greverie; R. Grosso; H. Grote; S. Grunewald; G. M. Guidi; C. Guido; R. Gupta; E. K. Gustafson; R. Gustafson; T. Ha; B. Hage; J. M. Hallam; D. Hammer; G. Hammond; J. Hanks; C. Hanna; J. Hanson; J. Harms; G. M. Harry; I. W. Harry; E. D. Harstad; M. T. Hartman; K. Haughian; K. Hayama; J. -F. Hayau; T. Hayler; J. Heefner; A. Heidmann; M. C. Heintze; H. Heitmann; P. Hello; M. A. Hendry; I. S. Heng; A. W. Heptonstall; V. Herrera; M. Hewitson; S. Hild; D. Hoak; K. A. Hodge; K. Holt; T. Hong; S. Hooper; D. J. Hosken; J. Hough; E. J. Howell; B. Hughey; S. Husa; S. H. Huttner; T. Huynh-Dinh; D. R. Ingram; R. Inta; T. Isogai; A. Ivanov; K. Izumi; M. Jacobson; H. Jang; P. Jaranowski; W. W. Johnson; D. I. Jones; G. Jones; R. Jones; L. Ju; P. Kalmus; V. Kalogera; I. Kamaretsos; S. Kandhasamy; G. Kang; J. B. Kanner; E. Katsavounidis; W. Katzman; H. Kaufer; K. Kawabe; S. Kawamura; F. Kawazoe; W. Kells; D. G. Keppel; Z. Keresztes; A. Khalaidovski; F. Y. Khalili; E. A. Khazanov; B. Kim; C. Kim; D. Kim; H. Kim; K. Kim; N. Kim; Y. -M. Kim; P. J. King; M. Kinsey; D. L. Kinzel; J. S. Kissel; S. Klimenko; K. Kokeyama; V. Kondrashov; R. Kopparapu; S. Koranda; W. Z. Korth; I. Kowalska; D. Kozak; V. Kringel; S. Krishnamurthy; B. Krishnan; A. Królak

2011-10-02T23:59:59.000Z

303

All-sky Search for Periodic Gravitational Waves in the Full S5 LIGO Data  

E-Print Network (OSTI)

We report on an all-sky search for periodic gravitational waves in the frequency band 50-800 Hz and with the frequency time derivative in the range of 0 through -6e-9 Hz/s. Such a signal could be produced by a nearby spinning and slightly non-axisymmetric isolated neutron star in our galaxy. After recent improvements in the search program that yielded a 10x increase in computational efficiency, we have searched in two years of data collected during LIGO's fifth science run and have obtained the most sensitive all-sky upper limits on gravitational wave strain to date. Near 150 Hz our upper limit on worst-case linearly polarized strain amplitude $h_0$ is 1e-24, while at the high end of our frequency range we achieve a worst-case upper limit of 3.8e-24 for all polarizations and sky locations. These results constitute a factor of two improvement upon previously published data. A new detection pipeline utilizing a Loosely Coherent algorithm was able to follow up weaker outliers, increasing the volume of space wher...

Abadie, J; Abbott, R; Abbott, T D; Abernathy, M; Accadia, T; Acernese, F; Adams, C; Adhikari, R; Affeldt, C; Ajith, P; Allen, B; Allen, G S; Ceron, E Amador; Amariutei, D; Amin, R S; Anderson, S B; Anderson, W G; Arai, K; Arain, M A; Araya, M C; Aston, S M; Astone, P; Atkinson, D; Aufmuth, P; Aulbert, C; Aylott, B E; Babak, S; Baker, P; Ballardin, G; Ballmer, S; Barker, D; Barone, F; Barr, B; Barriga, P; Barsotti, L; Barsuglia, M; Barton, M A; Bartos, I; Bassiri, R; Bastarrika, M; Basti, A; Batch, J; Bauchrowitz, J; Bauer, Th S; Bebronne, M; Behnke, B; Beker, M G; Bell, A S; Belletoile, A; Belopolski, I; Benacquista, M; Berliner, J M; Bertolini, A; Betzwieser, J; Beveridge, N; Beyersdorf, P T; Bilenko, I A; Billingsley, G; Birch, J; Biswas, R; Bitossi, M; Bizouard, M A; Black, E; Blackburn, J K; Blackburn, L; Blair, D; Bland, B; Blom, M; Bock, O; Bodiya, T P; Bogan, C; Bondarescu, R; Bondu, F; Bonelli, L; Bonnand, R; Bork, R; Born, M; Boschi, V; Bose, S; Bosi, L; Bouhou, B; Braccini, S; Bradaschia, C; Brady, P R; Braginsky, V B; Branchesi, M; Brau, J E; Breyer, J; Briant, T; Bridges, D O; Brillet, A; Brinkmann, M; Brisson, V; Britzger, M; Brooks, A F; Brown, D A; Brummit, A; Bulik, T; Bulten, H J; Buonanno, A; Burguet--Castell, J; Burmeister, O; Buskulic, D; Buy, C; Byer, R L; Cadonati, L; Cagnoli, G; Cain, J; Calloni, E; Camp, J B; Campsie, P; Cannizzo, J; Cannon, K; Canuel, B; Cao, J; Capano, C D; Carbognani, F; Caride, S; Caudill, S; Cavaglià, M; Cavalier, F; Cavalieri, R; Cella, G; Cepeda, C; Cesarini, E; Chaibi, O; Chalermsongsak, T; Chalkley, E; Charlton, P; Chassande-Mottin, E; Chelkowski, S; Chen, Y; Chincarini, A; Chiummo, A; Cho, H; Christensen, N; Chua, S S Y; Chung, C T Y; Chung, S; Ciani, G; Clara, F; Clark, D E; Clark, J; Clayton, J H; Cleva, F; Coccia, E; Cohadon, P -F; Colacino, C N; Colas, J; Colla, A; Colombini, M; Conte, A; Conte, R; Cook, D; Corbitt, T R; Cordier, M; Cornish, N; Corsi, A; Costa, C A; Coughlin, M; Coulon, J -P; Couvares, P; Coward, D M; Coyne, D C; Creighton, J D E; Creighton, T D; Cruise, A M; Cumming, A; Cunningham, L; Cuoco, E; Cutler, R M; Dahl, K; Danilishin, S L; Dannenberg, R; D'Antonio, S; Danzmann, K; Dattilo, V; Daudert, B; Daveloza, H; Davier, M; Davies, G; Daw, E J; Day, R; Dayanga, T; De Rosa, R; DeBra, D; Debreczeni, G; Degallaix, J; Del Pozzo, W; del Prete, M; Dent, T; Dergachev, V; DeRosa, R; DeSalvo, R; Dhurandhar, S; Di Fiore, L; Di Lieto, A; Di Palma, I; Emilio, M Di Paolo; Di Virgilio, A; Díaz, M; Dietz, A; Donovan, F; Dooley, K L; Dorsher, S; Drago, M; Drever, R W P; Driggers, J C; Du, Z; Dumas, J -C; Dwyer, S; Eberle, T; Edgar, M; Edwards, M; Effler, A; Ehrens, P; Endr?czi, G; Engel, R; Etzel, T; Evans, K; Evans, M; Evans, T; Factourovich, M; Fafone, V; Fairhurst, S; Fan, Y; Farr, B F; Farr, W; Fazi, D; Fehrmann, H; Feldbaum, D; Ferrante, I; Fidecaro, F; Finn, L S; Fiori, I; Fisher, R P; Flaminio, R; Flanigan, M; Foley, S; Forsi, E; Forte, L A; Fotopoulos, N; Fournier, J -D; Franc, J; Frasca, S; Frasconi, F; Frede, M; Frei, M; Frei, Z; Freise, A; Frey, R; Fricke, T T; Friedrich, D; Fritschel, P; Frolov, V V; Fulda, P J; Fyffe, M; Galimberti, M; Gammaitoni, L; Ganija, M R; Garcia, J; Garofoli, J A; Garufi, F; Gáspár, M E; Gemme, G; Geng, R; Genin, E; Gennai, A; Gergely, L Á; Ghosh, S; Giaime, J A; Giampanis, S; Giardina, K D; Giazotto, A; Gill, C; Goetz, E; Goggin, L M; González, G; Gorodetsky, M L; Goßler, S; Gouaty, R; Graef, C; Granata, M; Grant, A; Gras, S; Gray, C; Gray, N; Greenhalgh, R J S; Gretarsson, A M; Greverie, C; Grosso, R; Grote, H; Grunewald, S; Guidi, G M; Guido, C; Gupta, R; Gustafson, E K; Gustafson, R; Ha, T; Hage, B; Hallam, J M; Hammer, D; Hammond, G; Hanks, J; Hanna, C; Hanson, J; Harms, J; Harry, G M; Harry, I W; Harstad, E D; Hartman, M T; Haughian, K; Hayama, K; Hayau, J -F; Hayler, T; Heefner, J; Heidmann, A; Heintze, M C; Heitmann, H; Hello, P; Hendry, M A; Heng, I S; Heptonstall, A W; Herrera, V; Hewitson, M; Hild, S; Hoak, D; Hodge, K A; Holt, K; Hong, T; Hooper, S; Hosken, D J; Hough, J; Howell, E J; Hughey, B; Husa, S; Huttner, S H; Huynh-Dinh, T; Ingram, D R; Inta, R; Isogai, T; Ivanov, A; Izumi, K; Jacobson, M; Jang, H; Jaranowski, P; Johnson, W W; Jones, D I; Jones, G; Jones, R; Ju, L; Kalmus, P; Kalogera, V; Kamaretsos, I; Kandhasamy, S; Kang, G; Kanner, J B; Katsavounidis, E; Katzman, W; Kaufer, H; Kawabe, K; Kawamura, S; Kawazoe, F; Kells, W; Keppel, D G; Keresztes, Z; Khalaidovski, A; Khalili, F Y; Khazanov, E A; Kim, B; Kim, C; Kim, D; Kim, H; Kim, K; Kim, N; Kim, Y -M; King, P J; Kinsey, M; Kinzel, D L; Kissel, J S; Klimenko, S; Kokeyama, K; Kondrashov, V; Kopparapu, R; Koranda, S; Korth, W Z; Kowalska, I; Kozak, D; Kringel, V; Krishnamurthy, S; Krishnan, B; Królak, A; Kuehn, G; Kumar, R; Kwee, P; Lam, P K; Landry, M; Lang, M; Lantz, B; Lastzka, N; Lawrie, C; Lazzarini, A; Leaci, P; Lee, C H; Lee, H M

2011-01-01T23:59:59.000Z

304

THE 70 MONTH SWIFT-BAT ALL-SKY HARD X-RAY SURVEY  

SciTech Connect

We present the catalog of sources detected in 70 months of observations with the Burst Alert Telescope (BAT) hard X-ray detector on the Swift gamma-ray burst observatory. The Swift-BAT 70 month survey has detected 1171 hard X-ray sources (more than twice as many sources as the previous 22 month survey) in the 14-195 keV band down to a significance level of 4.8{sigma}, associated with 1210 counterparts. The 70 month Swift-BAT survey is the most sensitive and uniform hard X-ray all-sky survey and reaches a flux level of 1.03 Multiplication-Sign 10{sup -11} erg s{sup -1} cm{sup -2} over 50% of the sky and 1.34 Multiplication-Sign 10{sup -11} erg s{sup -1} cm{sup -2} over 90% of the sky. The majority of new sources in the 70 month survey continue to be active galactic nuclei, with over 700 in the catalog. As part of this new edition of the Swift-BAT catalog, we also make available eight-channel spectra and monthly sampled light curves for each object detected in the survey in the online journal and at the Swift-BAT 70 month Web site.

Baumgartner, W. H.; Tueller, J.; Markwardt, C. B.; Skinner, G. K.; Barthelmy, S.; Gehrels, N. [NASA/Goddard Space Flight Center, Astrophysics Science Division, Greenbelt, MD 20771 (United States); Mushotzky, R. F. [Department of Astronomy, University of Maryland, College Park, MD 20742 (United States); Evans, P. A., E-mail: whbaumga@alum.mit.edu [X-Ray and Observational Astronomy Group/Department of Physics and Astronomy, University of Leicester, Leicester, LE1 7RH (United Kingdom)

2013-08-15T23:59:59.000Z

305

Power Spectrum of Primordial Inhomogeneity Determined from the 4-Year COBE DMR Sky Maps  

E-Print Network (OSTI)

Fourier analysis and power spectrum estimation of the cosmic microwave background anisotropy on an incompletely sampled sky developed by Gorski (1994) has been applied to the high-latitude portion of the 4-year COBE DMR 31.5, 53 and 90 GHz sky maps. Likelihood analysis using newly constructed Galaxy cuts (extended beyond |b| = 20deg to excise the known foreground emission) and simultaneously correcting for the faint high latitude galactic foreground emission is conducted on the DMR sky maps pixelized in both ecliptic and galactic coordinates. The Bayesian power spectrum estimation from the foreground corrected 4-year COBE DMR data renders n ~ 1.2 +/- 0.3, and Q_{rms-PS} ~ 15.3^{+3.7}_{-2.8} microK (projections of the two-parameter likelihood). These results are consistent with the Harrison-Zel'dovich n=1 model of amplitude Q_{rms-PS} ~ 18 microK detected with significance exceeding 14sigma (dQ/Q < 0.07). (A small power spectrum amplitude drop below the published 2-year results is predominantly due to the application of the new, extended Galaxy cuts.)

K. M. Gorski; A. J. Banday; C. L. Bennett; G. Hinshaw; A. Kogut; G. F. Smoot; E. L. Wright

1996-01-12T23:59:59.000Z

306

Total....................................................................................  

U.S. Energy Information Administration (EIA) Indexed Site

5.6 5.6 17.7 7.9 Personal Computers Do Not Use a Personal Computer.................................. 35.5 8.1 5.6 2.5 Use a Personal Computer.............................................. 75.6 17.5 12.1 5.4 Most-Used Personal Computer Type of PC Desk-top Model......................................................... 58.6 14.1 10.0 4.0 Laptop Model............................................................. 16.9 3.4 2.1 1.3 Hours Turned on Per Week Less than 2 Hours..................................................... 13.6 3.4 2.5 0.9 2 to 15 Hours............................................................. 29.1 7.0 4.8 2.3 16 to 40 Hours........................................................... 13.5 2.8 2.1 0.7 41 to 167 Hours......................................................... 6.3

307

Total...................................................................  

U.S. Energy Information Administration (EIA) Indexed Site

15.2 15.2 7.8 1.0 1.2 3.3 1.9 For Two Housing Units............................. 0.9 Q N Q 0.6 N Heat Pump.................................................. 9.2 7.4 0.3 Q 0.7 0.5 Portable Electric Heater............................... 1.6 0.8 Q Q Q 0.3 Other Equipment......................................... 1.9 0.7 Q Q 0.7 Q Fuel Oil........................................................... 7.7 5.5 0.4 0.8 0.9 0.2 Steam or Hot Water System........................ 4.7 2.9 Q 0.7 0.8 N For One Housing Unit.............................. 3.3 2.9 Q Q Q N For Two Housing Units............................. 1.4 Q Q 0.5 0.8 N Central Warm-Air Furnace........................... 2.8 2.4 Q Q Q 0.2 Other Equipment......................................... 0.3 0.2 Q N Q N Wood..............................................................

308

Total...............................................................  

U.S. Energy Information Administration (EIA) Indexed Site

Do Not Have Cooling Equipment................. Do Not Have Cooling Equipment................. 17.8 5.3 4.7 2.8 1.9 3.1 3.6 7.5 Have Cooling Equipment.............................. 93.3 21.5 24.1 17.8 11.2 18.8 13.0 31.1 Use Cooling Equipment............................... 91.4 21.0 23.5 17.4 11.0 18.6 12.6 30.3 Have Equipment But Do Not Use it............. 1.9 0.5 0.6 0.4 Q Q 0.5 0.8 Air-Conditioning Equipment 1, 2 Central System............................................ 65.9 11.0 16.5 13.5 8.7 16.1 6.4 17.2 Without a Heat Pump.............................. 53.5 9.4 13.6 10.7 7.1 12.7 5.4 14.5 With a Heat Pump................................... 12.3 1.7 2.8 2.8 1.6 3.4 1.0 2.7 Window/Wall Units...................................... 28.9 10.5 8.1 4.5 2.7 3.1 6.7 14.1 1 Unit....................................................... 14.5 5.8 4.3 2.0 1.1 1.3 3.4 7.4 2 Units.....................................................

309

Total.............................................................................  

U.S. Energy Information Administration (EIA) Indexed Site

Cooking Appliances Cooking Appliances Frequency of Hot Meals Cooked 3 or More Times A Day......................................... 8.2 1.4 1.0 0.4 2 Times A Day...................................................... 24.6 5.8 3.5 2.3 Once a Day........................................................... 42.3 10.7 7.8 2.9 A Few Times Each Week...................................... 27.2 5.6 4.0 1.6 About Once a Week.............................................. 3.9 0.9 0.6 0.3 Less Than Once a Week....................................... 4.1 1.1 0.7 0.4 No Hot Meals Cooked........................................... 0.9 Q Q N Conventional Oven Use an Oven......................................................... 109.6 25.3 17.6 7.7 More Than Once a Day..................................... 8.9 1.3 0.8 0.5 Once a Day.......................................................

310

Total...............................................................  

U.S. Energy Information Administration (EIA) Indexed Site

26.7 26.7 28.8 20.6 13.1 22.0 16.6 38.6 Personal Computers Do Not Use a Personal Computer ........... 35.5 17.1 10.8 4.2 1.8 1.6 10.3 20.6 Use a Personal Computer......................... 75.6 9.6 18.0 16.4 11.3 20.3 6.4 17.9 Number of Desktop PCs 1.......................................................... 50.3 8.3 14.2 11.4 7.2 9.2 5.3 14.2 2.......................................................... 16.2 0.9 2.6 3.7 2.9 6.2 0.8 2.6 3 or More............................................. 9.0 0.4 1.2 1.3 1.2 5.0 0.3 1.1 Number of Laptop PCs 1.......................................................... 22.5 2.2 4.6 4.5 2.9 8.3 1.4 4.0 2.......................................................... 4.0 Q 0.4 0.6 0.4 2.4 Q 0.5 3 or More............................................. 0.7 Q Q Q Q 0.4 Q Q Type of Monitor Used on Most-Used PC Desk-top

311

Total...............................................................  

U.S. Energy Information Administration (EIA) Indexed Site

20.6 20.6 25.6 40.7 24.2 Personal Computers Do Not Use a Personal Computer ........... 35.5 6.9 8.1 14.2 6.4 Use a Personal Computer......................... 75.6 13.7 17.5 26.6 17.8 Number of Desktop PCs 1.......................................................... 50.3 9.3 11.9 18.2 11.0 2.......................................................... 16.2 2.9 3.5 5.5 4.4 3 or More............................................. 9.0 1.5 2.1 2.9 2.5 Number of Laptop PCs 1.......................................................... 22.5 4.7 4.6 7.7 5.4 2.......................................................... 4.0 0.6 0.9 1.5 1.1 3 or More............................................. 0.7 Q Q Q 0.3 Type of Monitor Used on Most-Used PC Desk-top CRT (Standard Monitor)................... 45.0 7.9 11.4 15.4 10.2 Flat-panel LCD.................................

312

Total................................................................  

U.S. Energy Information Administration (EIA) Indexed Site

111.1 26.7 28.8 20.6 13.1 22.0 16.6 38.6 Do Not Have Space Heating Equipment....... 1.2 0.5 0.3 0.2 Q 0.2 0.3 0.6 Have Main Space Heating Equipment.......... 109.8 26.2 28.5 20.4 13.0 21.8 16.3 37.9 Use Main Space Heating Equipment............ 109.1 25.9 28.1 20.3 12.9 21.8 16.0 37.3 Have Equipment But Do Not Use It.............. 0.8 0.3 0.3 Q Q N 0.4 0.6 Main Heating Fuel and Equipment Natural Gas.................................................. 58.2 12.2 14.4 11.3 7.1 13.2 7.6 18.3 Central Warm-Air Furnace........................ 44.7 7.5 10.8 9.3 5.6 11.4 4.6 12.0 For One Housing Unit........................... 42.9 6.9 10.3 9.1 5.4 11.3 4.1 11.0 For Two Housing Units......................... 1.8 0.6 0.6 Q Q Q 0.4 0.9 Steam or Hot Water System..................... 8.2 2.4 2.5 1.0 1.0 1.3 1.5 3.6 For One Housing Unit...........................

313

Total...........................................................  

U.S. Energy Information Administration (EIA) Indexed Site

Q Q Table HC3.2 Living Space Characteristics by Owner-Occupied Housing Units, 2005 2 to 4 Units 5 or More Units Mobile Homes Million U.S. Housing Units Owner- Occupied Housing Units (millions) Type of Owner-Occupied Housing Unit Housing Units (millions) Single-Family Units Apartments in Buildings With-- Living Space Characteristics Detached Attached Energy Information Administration 2005 Residential Energy Consumption Survey: Preliminary Housing Characteristics Tables Table HC3.2 Living Space Characteristics by Owner-Occupied Housing Units, 2005 2 to 4 Units 5 or More Units Mobile Homes Million U.S. Housing Units Owner- Occupied Housing Units (millions) Type of Owner-Occupied Housing Unit Housing Units (millions)

314

Total........................................................................  

U.S. Energy Information Administration (EIA) Indexed Site

25.6 25.6 40.7 24.2 Do Not Have Space Heating Equipment............... 1.2 Q Q Q 0.7 Have Main Space Heating Equipment.................. 109.8 20.5 25.6 40.3 23.4 Use Main Space Heating Equipment.................... 109.1 20.5 25.6 40.1 22.9 Have Equipment But Do Not Use It...................... 0.8 N N Q 0.6 Main Heating Fuel and Equipment Natural Gas.......................................................... 58.2 11.4 18.4 13.6 14.7 Central Warm-Air Furnace................................ 44.7 6.1 16.2 11.0 11.4 For One Housing Unit................................... 42.9 5.6 15.5 10.7 11.1 For Two Housing Units................................. 1.8 0.5 0.7 Q 0.3 Steam or Hot Water System............................. 8.2 4.9 1.6 1.0 0.6 For One Housing Unit................................... 5.1 3.2 1.1 0.4

315

Total...........................................................................  

U.S. Energy Information Administration (EIA) Indexed Site

0.6 0.6 15.1 5.5 Do Not Have Cooling Equipment............................. 17.8 4.0 2.4 1.7 Have Cooling Equipment.......................................... 93.3 16.5 12.8 3.8 Use Cooling Equipment........................................... 91.4 16.3 12.6 3.7 Have Equipment But Do Not Use it.......................... 1.9 0.3 Q Q Air-Conditioning Equipment 1, 2 Central System........................................................ 65.9 6.0 5.2 0.8 Without a Heat Pump........................................... 53.5 5.5 4.8 0.7 With a Heat Pump............................................... 12.3 0.5 0.4 Q Window/Wall Units.................................................. 28.9 10.7 7.6 3.1 1 Unit................................................................... 14.5 4.3 2.9 1.4 2 Units.................................................................

316

Total.......................................................................  

U.S. Energy Information Administration (EIA) Indexed Site

4.2 4.2 7.6 16.6 Personal Computers Do Not Use a Personal Computer ................... 35.5 6.4 2.2 4.2 Use a Personal Computer................................ 75.6 17.8 5.3 12.5 Number of Desktop PCs 1.................................................................. 50.3 11.0 3.4 7.6 2.................................................................. 16.2 4.4 1.3 3.1 3 or More..................................................... 9.0 2.5 0.7 1.8 Number of Laptop PCs 1.................................................................. 22.5 5.4 1.5 3.9 2.................................................................. 4.0 1.1 0.3 0.8 3 or More..................................................... 0.7 0.3 Q Q Type of Monitor Used on Most-Used PC Desk-top CRT (Standard Monitor)...........................

317

Total....................................................................................  

U.S. Energy Information Administration (EIA) Indexed Site

111.1 47.1 19.0 22.7 22.3 Personal Computers Do Not Use a Personal Computer.................................. 35.5 16.9 6.5 4.6 7.6 Use a Personal Computer.............................................. 75.6 30.3 12.5 18.1 14.7 Most-Used Personal Computer Type of PC Desk-top Model......................................................... 58.6 22.9 9.8 14.1 11.9 Laptop Model............................................................. 16.9 7.4 2.7 4.0 2.9 Hours Turned on Per Week Less than 2 Hours..................................................... 13.6 5.7 1.8 2.9 3.2 2 to 15 Hours............................................................. 29.1 11.9 5.1 6.5 5.7 16 to 40 Hours........................................................... 13.5 5.5 2.5 3.3 2.2 41 to 167 Hours.........................................................

318

Total........................................................................  

U.S. Energy Information Administration (EIA) Indexed Site

7.1 7.1 19.0 22.7 22.3 Do Not Have Space Heating Equipment............... 1.2 0.7 Q 0.2 Q Have Main Space Heating Equipment.................. 109.8 46.3 18.9 22.5 22.1 Use Main Space Heating Equipment.................... 109.1 45.6 18.8 22.5 22.1 Have Equipment But Do Not Use It...................... 0.8 0.7 Q N N Main Heating Fuel and Equipment Natural Gas.......................................................... 58.2 27.0 11.9 14.9 4.3 Central Warm-Air Furnace................................ 44.7 19.8 8.6 12.8 3.6 For One Housing Unit................................... 42.9 18.8 8.3 12.3 3.5 For Two Housing Units................................. 1.8 1.0 0.3 0.4 Q Steam or Hot Water System............................. 8.2 4.4 2.1 1.4 0.3 For One Housing Unit................................... 5.1 2.1 1.6 1.0

319

Total........................................................................  

U.S. Energy Information Administration (EIA) Indexed Site

15.1 15.1 5.5 Do Not Have Space Heating Equipment............... 1.2 Q Q Q Have Main Space Heating Equipment.................. 109.8 20.5 15.1 5.4 Use Main Space Heating Equipment.................... 109.1 20.5 15.1 5.4 Have Equipment But Do Not Use It...................... 0.8 N N N Main Heating Fuel and Equipment Natural Gas.......................................................... 58.2 11.4 9.1 2.3 Central Warm-Air Furnace................................ 44.7 6.1 5.3 0.8 For One Housing Unit................................... 42.9 5.6 4.9 0.7 For Two Housing Units................................. 1.8 0.5 0.4 Q Steam or Hot Water System............................. 8.2 4.9 3.6 1.3 For One Housing Unit................................... 5.1 3.2 2.2 1.0 For Two Housing Units.................................

320

Total.................................................................  

U.S. Energy Information Administration (EIA) Indexed Site

49.2 49.2 15.1 15.6 11.1 7.0 5.2 8.0 Have Cooling Equipment............................... 93.3 31.3 15.1 15.6 11.1 7.0 5.2 8.0 Use Cooling Equipment................................ 91.4 30.4 14.6 15.4 11.1 6.9 5.2 7.9 Have Equipment But Do Not Use it............... 1.9 1.0 0.5 Q Q Q Q Q Do Not Have Cooling Equipment................... 17.8 17.8 N N N N N N Air-Conditioning Equipment 1, 2 Central System............................................. 65.9 3.9 15.1 15.6 11.1 7.0 5.2 8.0 Without a Heat Pump................................ 53.5 3.5 12.9 12.7 8.6 5.5 4.2 6.2 With a Heat Pump..................................... 12.3 0.4 2.2 2.9 2.5 1.5 1.0 1.8 Window/Wall Units........................................ 28.9 27.5 0.5 Q 0.3 Q Q Q 1 Unit......................................................... 14.5 13.5 0.3 Q Q Q N Q 2 Units.......................................................

Note: This page contains sample records for the topic "total sky imager" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


321

Total........................................................................  

U.S. Energy Information Administration (EIA) Indexed Site

7.1 7.1 7.0 8.0 12.1 Do Not Have Space Heating Equipment............... 1.2 Q Q Q 0.2 Have Main Space Heating Equipment.................. 109.8 7.1 6.8 7.9 11.9 Use Main Space Heating Equipment.................... 109.1 7.1 6.6 7.9 11.4 Have Equipment But Do Not Use It...................... 0.8 N Q N 0.5 Main Heating Fuel and Equipment Natural Gas.......................................................... 58.2 3.8 0.4 3.8 8.4 Central Warm-Air Furnace................................ 44.7 1.8 Q 3.1 6.0 For One Housing Unit................................... 42.9 1.5 Q 3.1 6.0 For Two Housing Units................................. 1.8 Q N Q Q Steam or Hot Water System............................. 8.2 1.9 Q Q 0.2 For One Housing Unit................................... 5.1 0.8 Q N Q For Two Housing Units.................................

322

Total........................................................................  

U.S. Energy Information Administration (EIA) Indexed Site

5.6 5.6 17.7 7.9 Do Not Have Space Heating Equipment............... 1.2 Q Q N Have Main Space Heating Equipment.................. 109.8 25.6 17.7 7.9 Use Main Space Heating Equipment.................... 109.1 25.6 17.7 7.9 Have Equipment But Do Not Use It...................... 0.8 N N N Main Heating Fuel and Equipment Natural Gas.......................................................... 58.2 18.4 13.1 5.3 Central Warm-Air Furnace................................ 44.7 16.2 11.6 4.7 For One Housing Unit................................... 42.9 15.5 11.0 4.5 For Two Housing Units................................. 1.8 0.7 0.6 Q Steam or Hot Water System............................. 8.2 1.6 1.2 0.4 For One Housing Unit................................... 5.1 1.1 0.9 Q For Two Housing Units.................................

323

Total...........................................................................  

U.S. Energy Information Administration (EIA) Indexed Site

4.2 4.2 7.6 16.6 Do Not Have Cooling Equipment............................. 17.8 10.3 3.1 7.3 Have Cooling Equipment.......................................... 93.3 13.9 4.5 9.4 Use Cooling Equipment........................................... 91.4 12.9 4.3 8.5 Have Equipment But Do Not Use it.......................... 1.9 1.0 Q 0.8 Air-Conditioning Equipment 1, 2 Central System........................................................ 65.9 10.5 3.9 6.5 Without a Heat Pump........................................... 53.5 8.7 3.2 5.5 With a Heat Pump............................................... 12.3 1.7 0.7 1.0 Window/Wall Units.................................................. 28.9 3.6 0.6 3.0 1 Unit................................................................... 14.5 2.9 0.5 2.4 2 Units.................................................................

324

Total...........................................................  

U.S. Energy Information Administration (EIA) Indexed Site

Q Q Million U.S. Housing Units Renter- Occupied Housing Units (millions) Type of Renter-Occupied Housing Unit U.S. Housing Units (millions Single-Family Units Apartments in Buildings With-- Living Space Characteristics Detached Attached Table HC4.2 Living Space Characteristics by Renter-Occupied Housing Units, 2005 2 to 4 Units 5 or More Units Mobile Homes Energy Information Administration 2005 Residential Energy Consumption Survey: Preliminary Housing Characteristics Tables Million U.S. Housing Units Renter- Occupied Housing Units (millions) Type of Renter-Occupied Housing Unit U.S. Housing Units (millions Single-Family Units Apartments in Buildings With-- Living Space Characteristics Detached Attached Table HC4.2 Living Space Characteristics by Renter-Occupied Housing Units, 2005

325

Total....................................................................................  

U.S. Energy Information Administration (EIA) Indexed Site

Personal Computers Personal Computers Do Not Use a Personal Computer.................................. 35.5 14.2 7.2 2.8 4.2 Use a Personal Computer.............................................. 75.6 26.6 14.5 4.1 7.9 Most-Used Personal Computer Type of PC Desk-top Model......................................................... 58.6 20.5 11.0 3.4 6.1 Laptop Model............................................................. 16.9 6.1 3.5 0.7 1.9 Hours Turned on Per Week Less than 2 Hours..................................................... 13.6 5.0 2.6 1.0 1.3 2 to 15 Hours............................................................. 29.1 10.3 5.9 1.6 2.9 16 to 40 Hours........................................................... 13.5 4.1 2.3 0.6 1.2 41 to 167 Hours.........................................................

326

Total..............................................................  

U.S. Energy Information Administration (EIA) Indexed Site

,171 ,171 1,618 1,031 845 630 401 Census Region and Division Northeast................................................... 20.6 2,334 1,664 562 911 649 220 New England.......................................... 5.5 2,472 1,680 265 1,057 719 113 Middle Atlantic........................................ 15.1 2,284 1,658 670 864 627 254 Midwest...................................................... 25.6 2,421 1,927 1,360 981 781 551 East North Central.................................. 17.7 2,483 1,926 1,269 999 775 510 West North Central................................. 7.9 2,281 1,930 1,566 940 796 646 South.......................................................... 40.7 2,161 1,551 1,295 856 615 513 South Atlantic......................................... 21.7 2,243 1,607 1,359 896 642 543 East South Central.................................

327

Total.........................................................................................  

U.S. Energy Information Administration (EIA) Indexed Site

..... ..... 111.1 7.1 7.0 8.0 12.1 Personal Computers Do Not Use a Personal Computer...................................... 35.5 3.0 2.0 2.7 3.1 Use a Personal Computer.................................................. 75.6 4.2 5.0 5.3 9.0 Most-Used Personal Computer Type of PC Desk-top Model............................................................. 58.6 3.2 3.9 4.0 6.7 Laptop Model................................................................. 16.9 1.0 1.1 1.3 2.4 Hours Turned on Per Week Less than 2 Hours......................................................... 13.6 0.7 0.9 0.9 1.4 2 to 15 Hours................................................................. 29.1 1.7 2.1 1.9 3.4 16 to 40 Hours............................................................... 13.5 0.9 0.9 0.9 1.8 41 to 167 Hours.............................................................

328

Total.............................................................................  

U.S. Energy Information Administration (EIA) Indexed Site

Cooking Appliances Cooking Appliances Frequency of Hot Meals Cooked 3 or More Times A Day......................................... 8.2 2.6 0.7 1.9 2 Times A Day...................................................... 24.6 6.6 2.0 4.6 Once a Day........................................................... 42.3 8.8 2.9 5.8 A Few Times Each Week...................................... 27.2 4.7 1.5 3.1 About Once a Week.............................................. 3.9 0.7 Q 0.6 Less Than Once a Week....................................... 4.1 0.7 0.3 0.4 No Hot Meals Cooked........................................... 0.9 0.2 Q Q Conventional Oven Use an Oven......................................................... 109.6 23.7 7.5 16.2 More Than Once a Day..................................... 8.9 1.7 0.4 1.3 Once a Day.......................................................

329

Total..............................................................................  

U.S. Energy Information Administration (EIA) Indexed Site

0.7 0.7 21.7 6.9 12.1 Do Not Have Cooling Equipment................................ 17.8 1.4 0.8 0.2 0.3 Have Cooling Equipment............................................. 93.3 39.3 20.9 6.7 11.8 Use Cooling Equipment.............................................. 91.4 38.9 20.7 6.6 11.7 Have Equipment But Do Not Use it............................. 1.9 0.5 Q Q Q Air-Conditioning Equipment 1, 2 Central System........................................................... 65.9 32.1 17.6 5.2 9.3 Without a Heat Pump.............................................. 53.5 23.2 10.9 3.8 8.4 With a Heat Pump................................................... 12.3 9.0 6.7 1.4 0.9 Window/Wall Units..................................................... 28.9 8.0 3.4 1.7 2.9 1 Unit......................................................................

330

Total....................................................................  

U.S. Energy Information Administration (EIA) Indexed Site

14.7 14.7 7.4 12.5 12.5 18.9 18.6 17.3 9.2 Household Size 1 Person.......................................................... 30.0 4.6 2.5 3.7 3.2 5.4 5.5 3.7 1.6 2 Persons......................................................... 34.8 4.3 1.9 4.4 4.1 5.9 5.3 5.5 3.4 3 Persons......................................................... 18.4 2.5 1.3 1.7 1.9 2.9 3.5 2.8 1.6 4 Persons......................................................... 15.9 1.9 0.8 1.5 1.6 3.0 2.5 3.1 1.4 5 Persons......................................................... 7.9 0.8 0.4 1.0 1.1 1.2 1.1 1.5 0.9 6 or More Persons........................................... 4.1 0.5 0.3 0.3 0.6 0.5 0.7 0.8 0.4 2005 Annual Household Income Category Less than $9,999............................................. 9.9 1.9 1.1 1.3 0.9 1.7 1.3 1.1 0.5 $10,000 to $14,999..........................................

331

Total....................................................................................  

U.S. Energy Information Administration (EIA) Indexed Site

25.6 25.6 40.7 24.2 Personal Computers Do Not Use a Personal Computer.................................. 35.5 6.9 8.1 14.2 6.4 Use a Personal Computer.............................................. 75.6 13.7 17.5 26.6 17.8 Most-Used Personal Computer Type of PC Desk-top Model......................................................... 58.6 10.4 14.1 20.5 13.7 Laptop Model............................................................. 16.9 3.3 3.4 6.1 4.1 Hours Turned on Per Week Less than 2 Hours..................................................... 13.6 2.4 3.4 5.0 2.9 2 to 15 Hours............................................................. 29.1 5.2 7.0 10.3 6.6 16 to 40 Hours........................................................... 13.5 3.1 2.8 4.1 3.4 41 to 167 Hours.........................................................

332

Total....................................................................................  

U.S. Energy Information Administration (EIA) Indexed Site

4.2 4.2 7.6 16.6 Personal Computers Do Not Use a Personal Computer.................................. 35.5 6.4 2.2 4.2 Use a Personal Computer.............................................. 75.6 17.8 5.3 12.5 Most-Used Personal Computer Type of PC Desk-top Model......................................................... 58.6 13.7 4.2 9.5 Laptop Model............................................................. 16.9 4.1 1.1 3.0 Hours Turned on Per Week Less than 2 Hours..................................................... 13.6 2.9 0.9 2.0 2 to 15 Hours............................................................. 29.1 6.6 2.0 4.6 16 to 40 Hours........................................................... 13.5 3.4 0.9 2.5 41 to 167 Hours......................................................... 6.3

333

Total..................................................................  

U.S. Energy Information Administration (EIA) Indexed Site

33.0 33.0 8.0 3.4 5.9 14.4 1.2 Do Not Have Cooling Equipment..................... 17.8 6.5 1.6 0.9 1.3 2.4 0.2 Have Cooling Equipment................................. 93.3 26.5 6.5 2.5 4.6 12.0 1.0 Use Cooling Equipment.................................. 91.4 25.7 6.3 2.5 4.4 11.7 0.8 Have Equipment But Do Not Use it................. 1.9 0.8 Q Q 0.2 0.3 Q Type of Air-Conditioning Equipment 1, 2 Central System.............................................. 65.9 14.1 3.6 1.5 2.1 6.4 0.6 Without a Heat Pump.................................. 53.5 12.4 3.1 1.3 1.8 5.7 0.6 With a Heat Pump....................................... 12.3 1.7 0.6 Q 0.3 0.6 Q Window/Wall Units....................................... 28.9 12.4 2.9 1.0 2.5 5.6 0.4 1 Unit.......................................................... 14.5 7.3 1.2 0.5 1.4 3.9 0.2 2 Units.........................................................

334

Total....................................................................................  

U.S. Energy Information Administration (EIA) Indexed Site

Cooking Appliances Cooking Appliances Frequency of Hot Meals Cooked 3 or More Times A Day................................................. 8.2 3.7 1.6 1.4 1.5 2 Times A Day.............................................................. 24.6 10.8 4.1 4.3 5.5 Once a Day................................................................... 42.3 17.0 7.2 8.7 9.3 A Few Times Each Week............................................. 27.2 11.4 4.7 6.4 4.8 About Once a Week..................................................... 3.9 1.7 0.6 0.9 0.8 Less Than Once a Week.............................................. 4.1 2.2 0.6 0.8 0.5 No Hot Meals Cooked................................................... 0.9 0.4 Q Q Q Conventional Oven Use an Oven................................................................. 109.6 46.2 18.8

335

Total...................................................................  

U.S. Energy Information Administration (EIA) Indexed Site

Single-Family Units Single-Family Units Detached Type of Housing Unit Table HC2.7 Air Conditioning Usage Indicators by Type of Housing Unit, 2005 Million U.S. Housing Units Air Conditioning Usage Indicators Attached 2 to 4 Units 5 or More Units Mobile Homes Apartments in Buildings With-- Housing Units (millions) Energy Information Administration 2005 Residential Energy Consumption Survey: Preliminary Housing Characteristics Tables Single-Family Units Detached Type of Housing Unit Table HC2.7 Air Conditioning Usage Indicators by Type of Housing Unit, 2005 Million U.S. Housing Units Air Conditioning Usage Indicators Attached 2 to 4 Units 5 or More Units Mobile Homes Apartments in Buildings With-- Housing Units (millions) At Home Behavior Home Used for Business

336

Total.............................................................................  

U.S. Energy Information Administration (EIA) Indexed Site

Do Not Have Cooling Equipment............................... Do Not Have Cooling Equipment............................... 17.8 2.1 1.8 0.3 Have Cooling Equipment............................................ 93.3 23.5 16.0 7.5 Use Cooling Equipment............................................. 91.4 23.4 15.9 7.5 Have Equipment But Do Not Use it............................ 1.9 Q Q Q Type of Air-Conditioning Equipment 1, 2 Central System........................................................ 65.9 17.3 11.3 6.0 Without a Heat Pump............................................. 53.5 16.2 10.6 5.6 With a Heat Pump................................................. 12.3 1.1 0.8 0.4 Window/Wall Units.................................................. 28.9 6.6 4.9 1.7 1 Unit..................................................................... 14.5 4.1 2.9 1.2 2 Units...................................................................

337

Total..............................................................................  

U.S. Energy Information Administration (EIA) Indexed Site

20.6 20.6 25.6 40.7 24.2 Do Not Have Cooling Equipment................................ 17.8 4.0 2.1 1.4 10.3 Have Cooling Equipment............................................. 93.3 16.5 23.5 39.3 13.9 Use Cooling Equipment.............................................. 91.4 16.3 23.4 38.9 12.9 Have Equipment But Do Not Use it............................. 1.9 0.3 Q 0.5 1.0 Air-Conditioning Equipment 1, 2 Central System........................................................... 65.9 6.0 17.3 32.1 10.5 Without a Heat Pump.............................................. 53.5 5.5 16.2 23.2 8.7 With a Heat Pump................................................... 12.3 0.5 1.1 9.0 1.7 Window/Wall Units..................................................... 28.9 10.7 6.6 8.0 3.6 1 Unit......................................................................

338

Total..........................................................  

U.S. Energy Information Administration (EIA) Indexed Site

60,000 to 79,999 80,000 or More Energy Information Administration 2005 Residential Energy Consumption Survey: Preliminary Housing Characteristics Tables Million U.S. Housing...

339

Total..........................................................  

Annual Energy Outlook 2012 (EIA)

Usage Indicators by U.S. Census Region, 2005 Million U.S. Housing Units Air Conditioning Usage Indicators U.S. Census Region Northeast Midwest South West Energy Information...

340

Total..........................................................  

U.S. Energy Information Administration (EIA) Indexed Site

Homes Million U.S. Housing Units Energy Information Administration 2005 Residential Energy Consumption Survey: Preliminary Housing Characteristics Tables Table HC3.7...

Note: This page contains sample records for the topic "total sky imager" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


341

Total..........................................................  

U.S. Energy Information Administration (EIA) Indexed Site

Homes Million U.S. Housing Units Energy Information Administration 2005 Residential Energy Consumption Survey: Preliminary Housing Characteristics Tables Table HC4.7...

342

Total..........................................................  

Annual Energy Outlook 2012 (EIA)

Self-Reported) City Town Suburbs Rural Energy Information Administration 2005 Residential Energy Consumption Survey: Preliminary Housing Characteristics Tables Table HC8.7...

343

Total..........................................................  

U.S. Energy Information Administration (EIA) Indexed Site

East North Central West North Central Energy Information Administration: 2005 Residential Energy Consumption Survey: Preliminary Housing Characteristics Tables Million U.S. Housing...

344

Total..........................................................  

U.S. Energy Information Administration (EIA) Indexed Site

U.S. Housing Units Home Electronics Usage Indicators Table HC10.12 Home Electronics Usage Indicators by U.S. Census Region, 2005 Housing Units (millions) Energy Information...

345

Total..........................................................  

U.S. Energy Information Administration (EIA) Indexed Site

U.S. Housing Units Home Electronics Usage Indicators Table HC8.12 Home Electronics Usage Indicators by UrbanRural Location, 2005 Housing Units (millions) Energy Information...

346

Total..........................................................  

Gasoline and Diesel Fuel Update (EIA)

7.0 7.7 6.6 Have Equipment But Do Not Use it... 1.9 Q N Q 0.6 Air-Conditioning Equipment 1, 2 Central System......

347

Total..........................................................  

Annual Energy Outlook 2012 (EIA)

Air-Conditioning Equipment 1, 2 Central System... 65.9 47.5 4.0 2.8 7.9 3.7 Without a Heat Pump... 53.5...

348

Total..........................................................  

Gasoline and Diesel Fuel Update (EIA)

91.4 23.4 15.9 7.5 Have Equipment But Do Not Use it... 1.9 Q Q Q Air-Conditioning Equipment 1, 2 Central System......

349

Total..........................................................  

Gasoline and Diesel Fuel Update (EIA)

18.0 Have Equipment But Do Not Use it... 1.9 0.9 0.3 0.3 0.4 Air-Conditioning Equipment 1, 2 Central System......

350

Total..........................................................  

U.S. Energy Information Administration (EIA) Indexed Site

m... 3.2 0.2 Q 0.1 Telephone and Office Equipment CellMobile Telephone... 84.8 14.9 11.1 3.9 Cordless...

351

Total..........................................................  

Gasoline and Diesel Fuel Update (EIA)

m... 3.2 0.9 0.7 Q Telephone and Office Equipment CellMobile Telephone... 84.8 19.3 13.2 6.1 Cordless...

352

Total..........................................................  

U.S. Energy Information Administration (EIA) Indexed Site

Q 0.5 Q Q Monitor is Turned Off... 0.5 N Q Q Q Q N Q Use of Internet Have Access to Internet Yes... 66.9...

353

Total..........................................................  

U.S. Energy Information Administration (EIA) Indexed Site

Four Most Populated States New York Florida Texas California Million U.S. Housing Units Home Electronics Usage Indicators Table HC15.12 Home Electronics Usage Indicators by Four...

354

Total  

U.S. Energy Information Administration (EIA) Indexed Site

Normal ButaneButylene Other Liquids Oxygenates Fuel Ethanol MTBE Other Oxygenates Biomass-based Diesel Other Renewable Diesel Fuel Other Renewable Fuels Gasoline Blending...

355

Total  

U.S. Energy Information Administration (EIA) Indexed Site

Normal ButaneButylene Other Liquids Oxygenates Fuel Ethanol MTBE Other Oxygenates Biomass-based Diesel Fuel Other Renewable Diesel Fuel Other Renewable Fuels Gasoline Blending...

356

Total..........................................................  

Annual Energy Outlook 2012 (EIA)

111.1 7.1 7.0 8.0 12.1 Personal Computers Do Not Use a Personal Computer ... 35.5 3.0 2.0 2.7 3.1 Use a Personal Computer......

357

Total..........................................................  

Annual Energy Outlook 2012 (EIA)

... 25.8 2.8 5.8 5.5 3.8 7.9 1.4 5.1 Use of Most-Used Ceiling Fan Used All Summer... 18.7 4.2 4.9 4.1 2.1 3.4 2.4 6.3...

358

Total..........................................................  

U.S. Energy Information Administration (EIA) Indexed Site

Heating Characteristics Energy Information Administration 2005 Residential Energy Consumption Survey: Preliminary Housing Characteristics Tables Table HC5.4 Space Heating...

359

Total..........................................................  

Annual Energy Outlook 2012 (EIA)

at All... 2.9 1.1 0.5 Q 0.4 Battery-Operated AppliancesTools Use Battery-Operated AppliancesTools......

360

Total..........................................................  

Annual Energy Outlook 2012 (EIA)

3.3 Not Used at All... 2.9 0.7 0.5 Q Battery-Operated AppliancesTools Use Battery-Operated AppliancesTools... 54.9...

Note: This page contains sample records for the topic "total sky imager" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


361

Total..........................................................  

U.S. Energy Information Administration (EIA) Indexed Site

3.6 Not Used at All... 2.9 0.8 0.3 0.4 Battery-Operated AppliancesTools Use Battery-Operated AppliancesTools... 54.9...

362

Total..........................................................  

Gasoline and Diesel Fuel Update (EIA)

1.1 Not Used at All... 2.9 0.4 Q 0.2 Battery-Operated AppliancesTools Use Battery-Operated AppliancesTools... 54.9...

363

Total..........................................................  

Gasoline and Diesel Fuel Update (EIA)

at All... 2.9 1.4 0.4 0.4 0.7 Battery-Operated AppliancesTools Use Battery-Operated AppliancesTools......

364

Total..........................................................  

Gasoline and Diesel Fuel Update (EIA)

5 or More Units Mobile Homes Apartments in Buildings With-- Housing Units (millions) At Home Behavior Home Used for Business Yes......

365

Total..........................................................  

Annual Energy Outlook 2012 (EIA)

... 34.3 1.2 0.9 2.2 2.9 5.4 7.0 8.2 6.6 Adequacy of Insulation Well Insulated... 29.5 1.5 0.9 2.3 2.7 4.1...

366

Total.............................................................................  

U.S. Energy Information Administration (EIA) Indexed Site

Cooking Appliances Cooking Appliances Frequency of Hot Meals Cooked 3 or More Times A Day......................................... 8.2 1.2 1.0 0.2 2 Times A Day...................................................... 24.6 4.0 2.7 1.2 Once a Day........................................................... 42.3 7.9 5.4 2.5 A Few Times Each Week...................................... 27.2 6.0 4.8 1.2 About Once a Week.............................................. 3.9 0.6 0.5 Q Less Than Once a Week....................................... 4.1 0.6 0.4 Q No Hot Meals Cooked........................................... 0.9 0.3 Q Q Conventional Oven Use an Oven......................................................... 109.6 20.3 14.9 5.4 More Than Once a Day..................................... 8.9 1.4 1.2 0.3 Once a Day.......................................................

367

Total...............................................................  

U.S. Energy Information Administration (EIA) Indexed Site

47.1 47.1 19.0 22.7 22.3 Personal Computers Do Not Use a Personal Computer ........... 35.5 16.9 6.5 4.6 7.6 Use a Personal Computer......................... 75.6 30.3 12.5 18.1 14.7 Number of Desktop PCs 1.......................................................... 50.3 21.1 8.3 10.7 10.1 2.......................................................... 16.2 6.2 2.8 4.1 3.0 3 or More............................................. 9.0 2.9 1.4 3.2 1.6 Number of Laptop PCs 1.......................................................... 22.5 9.1 3.6 6.0 3.8 2.......................................................... 4.0 1.5 0.6 1.3 0.7 3 or More............................................. 0.7 0.3 Q Q Q Type of Monitor Used on Most-Used PC Desk-top CRT (Standard Monitor)................... 45.0 17.7 7.5 10.2 9.6 Flat-panel LCD.................................

368

Total........................................................  

U.S. Energy Information Administration (EIA) Indexed Site

111.1 24.5 1,090 902 341 872 780 441 Census Region and Division Northeast............................................. 20.6 6.7 1,247 1,032 Q 811 788 147 New England.................................... 5.5 1.9 1,365 1,127 Q 814 748 107 Middle Atlantic.................................. 15.1 4.8 1,182 978 Q 810 800 159 Midwest................................................ 25.6 4.6 1,349 1,133 506 895 810 346 East North Central............................ 17.7 3.2 1,483 1,239 560 968 842 351 West North Central........................... 7.9 1.4 913 789 329 751 745 337 South................................................... 40.7 7.8 881 752 572 942 873 797 South Atlantic................................... 21.7 4.9 875 707 522 1,035 934 926 East South Central........................... 6.9 0.7 Q Q Q 852 826 432 West South Central..........................

369

Total...............................................................  

U.S. Energy Information Administration (EIA) Indexed Site

0.7 0.7 21.7 6.9 12.1 Personal Computers Do Not Use a Personal Computer ........... 35.5 14.2 7.2 2.8 4.2 Use a Personal Computer......................... 75.6 26.6 14.5 4.1 7.9 Number of Desktop PCs 1.......................................................... 50.3 18.2 10.0 2.9 5.3 2.......................................................... 16.2 5.5 3.0 0.7 1.8 3 or More............................................. 9.0 2.9 1.5 0.5 0.8 Number of Laptop PCs 1.......................................................... 22.5 7.7 4.3 1.1 2.4 2.......................................................... 4.0 1.5 0.9 Q 0.4 3 or More............................................. 0.7 Q Q Q Q Type of Monitor Used on Most-Used PC Desk-top CRT (Standard Monitor)................... 45.0 15.4 7.9 2.8 4.8 Flat-panel LCD.................................

370

Total.................................................................  

U.S. Energy Information Administration (EIA) Indexed Site

26.7 26.7 28.8 20.6 13.1 22.0 16.6 38.6 Cooking Appliances Frequency of Hot Meals Cooked 3 or More Times A Day.............................. 8.2 2.9 2.5 1.3 0.5 1.0 2.4 4.6 2 Times A Day........................................... 24.6 6.5 7.0 4.3 3.2 3.6 4.8 10.3 Once a Day................................................ 42.3 8.8 9.8 8.7 5.1 10.0 5.0 12.9 A Few Times Each Week........................... 27.2 5.6 7.2 4.7 3.3 6.3 3.2 7.5 About Once a Week................................... 3.9 1.1 1.1 0.6 0.5 0.6 0.4 1.4 Less Than Once a Week............................ 4.1 1.3 1.0 0.9 0.5 0.4 0.7 1.4 No Hot Meals Cooked................................ 0.9 0.5 Q Q Q Q 0.2 0.5 Conventional Oven Use an Oven.............................................. 109.6 26.1 28.5 20.2 12.9 21.8 16.3 37.8 More Than Once a Day..........................

371

Total..................................................................  

U.S. Energy Information Administration (EIA) Indexed Site

. . 111.1 14.7 7.4 12.5 12.5 18.9 18.6 17.3 9.2 Do Not Have Cooling Equipment..................... 17.8 3.9 1.8 2.2 2.1 3.1 2.6 1.7 0.4 Have Cooling Equipment................................. 93.3 10.8 5.6 10.3 10.4 15.8 16.0 15.6 8.8 Use Cooling Equipment.................................. 91.4 10.6 5.5 10.3 10.3 15.3 15.7 15.3 8.6 Have Equipment But Do Not Use it................. 1.9 Q Q Q Q 0.6 0.4 0.3 Q Type of Air-Conditioning Equipment 1, 2 Central System.............................................. 65.9 3.7 2.6 6.1 6.8 11.2 13.2 13.9 8.2 Without a Heat Pump.................................. 53.5 3.6 2.3 5.5 5.8 9.5 10.1 10.3 6.4 With a Heat Pump....................................... 12.3 Q 0.3 0.6 1.0 1.7 3.1 3.6 1.7 Window/Wall Units....................................... 28.9 7.3 3.2 4.5 3.7 4.8 3.0 1.9 0.7 1 Unit..........................................................

372

Total..............................................  

U.S. Energy Information Administration (EIA) Indexed Site

111.1 86.6 2,720 1,970 1,310 1,941 1,475 821 1,059 944 554 Census Region and Division Northeast.................................... 20.6 13.9 3,224 2,173 836 2,219 1,619 583 903 830 Q New England.......................... 5.5 3.6 3,365 2,154 313 2,634 1,826 Q 951 940 Q Middle Atlantic........................ 15.1 10.3 3,167 2,181 1,049 2,188 1,603 582 Q Q Q Midwest...................................... 25.6 21.0 2,823 2,239 1,624 2,356 1,669 1,336 1,081 961 778 East North Central.................. 17.7 14.5 2,864 2,217 1,490 2,514 1,715 1,408 907 839 553 West North Central................. 7.9 6.4 2,729 2,289 1,924 1,806 1,510 1,085 1,299 1,113 1,059 South.......................................... 40.7 33.0 2,707 1,849 1,563 1,605 1,350 954 1,064 970 685 South Atlantic......................... 21.7 16.8 2,945 1,996 1,695 1,573 1,359 909 1,044 955

373

Total.................................................................................  

U.S. Energy Information Administration (EIA) Indexed Site

... ... 111.1 20.6 15.1 5.5 Do Not Have Cooling Equipment................................. 17.8 4.0 2.4 1.7 Have Cooling Equipment............................................. 93.3 16.5 12.8 3.8 Use Cooling Equipment............................................... 91.4 16.3 12.6 3.7 Have Equipment But Do Not Use it............................. 1.9 0.3 Q Q Type of Air-Conditioning Equipment 1, 2 Central System.......................................................... 65.9 6.0 5.2 0.8 Without a Heat Pump.............................................. 53.5 5.5 4.8 0.7 With a Heat Pump................................................... 12.3 0.5 0.4 Q Window/Wall Units.................................................... 28.9 10.7 7.6 3.1 1 Unit.......................................................................

374

Total.............................................................................  

U.S. Energy Information Administration (EIA) Indexed Site

Do Not Have Cooling Equipment............................... Do Not Have Cooling Equipment............................... 17.8 8.5 2.7 2.6 4.0 Have Cooling Equipment............................................ 93.3 38.6 16.2 20.1 18.4 Use Cooling Equipment............................................. 91.4 37.8 15.9 19.8 18.0 Have Equipment But Do Not Use it............................ 1.9 0.9 0.3 0.3 0.4 Type of Air-Conditioning Equipment 1, 2 Central System........................................................ 65.9 25.8 10.9 16.6 12.5 Without a Heat Pump............................................. 53.5 21.2 9.7 13.7 8.9 With a Heat Pump................................................. 12.3 4.6 1.2 2.8 3.6 Window/Wall Units.................................................. 28.9 13.4 5.6 3.9 6.1 1 Unit.....................................................................

375

Total.............................................................................  

U.S. Energy Information Administration (EIA) Indexed Site

Do Not Have Cooling Equipment............................... Do Not Have Cooling Equipment............................... 17.8 10.3 3.1 7.3 Have Cooling Equipment............................................ 93.3 13.9 4.5 9.4 Use Cooling Equipment............................................. 91.4 12.9 4.3 8.5 Have Equipment But Do Not Use it............................ 1.9 1.0 Q 0.8 Type of Air-Conditioning Equipment 1, 2 Central System........................................................ 65.9 10.5 3.9 6.5 Without a Heat Pump............................................. 53.5 8.7 3.2 5.5 With a Heat Pump................................................. 12.3 1.7 0.7 1.0 Window/Wall Units.................................................. 28.9 3.6 0.6 3.0 1 Unit..................................................................... 14.5 2.9 0.5 2.4 2 Units...................................................................

376

Total..................................................................  

U.S. Energy Information Administration (EIA) Indexed Site

78.1 78.1 64.1 4.2 1.8 2.3 5.7 Do Not Have Cooling Equipment..................... 17.8 11.3 9.3 0.6 Q 0.4 0.9 Have Cooling Equipment................................. 93.3 66.8 54.7 3.6 1.7 1.9 4.8 Use Cooling Equipment.................................. 91.4 65.8 54.0 3.6 1.7 1.9 4.7 Have Equipment But Do Not Use it................. 1.9 1.1 0.8 Q N Q Q Type of Air-Conditioning Equipment 1, 2 Central System.............................................. 65.9 51.7 43.9 2.5 0.7 1.6 3.1 Without a Heat Pump.................................. 53.5 41.1 34.8 2.1 0.5 1.2 2.6 With a Heat Pump....................................... 12.3 10.6 9.1 0.4 Q 0.3 0.6 Window/Wall Units....................................... 28.9 16.5 12.0 1.3 1.0 0.4 1.7 1 Unit.......................................................... 14.5 7.2 5.4 0.5 0.2 Q 0.9 2 Units.........................................................

377

Total.............................................................................  

U.S. Energy Information Administration (EIA) Indexed Site

Do Not Have Cooling Equipment............................... Do Not Have Cooling Equipment............................... 17.8 1.4 0.8 0.2 0.3 Have Cooling Equipment............................................ 93.3 39.3 20.9 6.7 11.8 Use Cooling Equipment............................................. 91.4 38.9 20.7 6.6 11.7 Have Equipment But Do Not Use it............................ 1.9 0.5 Q Q Q Type of Air-Conditioning Equipment 1, 2 Central System........................................................ 65.9 32.1 17.6 5.2 9.3 Without a Heat Pump............................................. 53.5 23.2 10.9 3.8 8.4 With a Heat Pump................................................. 12.3 9.0 6.7 1.4 0.9 Window/Wall Units.................................................. 28.9 8.0 3.4 1.7 2.9 1 Unit.....................................................................

378

Total........................................................................  

U.S. Energy Information Administration (EIA) Indexed Site

4.2 4.2 7.6 16.6 Do Not Have Space Heating Equipment............... 1.2 0.7 Q 0.7 Have Main Space Heating Equipment.................. 109.8 23.4 7.5 16.0 Use Main Space Heating Equipment.................... 109.1 22.9 7.4 15.4 Have Equipment But Do Not Use It...................... 0.8 0.6 Q 0.5 Main Heating Fuel and Equipment Natural Gas.......................................................... 58.2 14.7 4.6 10.1 Central Warm-Air Furnace................................ 44.7 11.4 4.0 7.4 For One Housing Unit................................... 42.9 11.1 3.8 7.3 For Two Housing Units................................. 1.8 0.3 Q Q Steam or Hot Water System............................. 8.2 0.6 0.3 0.3 For One Housing Unit................................... 5.1 0.4 0.2 0.1 For Two Housing Units.................................

379

Total..............................................................  

U.S. Energy Information Administration (EIA) Indexed Site

Do Not Have Cooling Equipment................ Do Not Have Cooling Equipment................ 17.8 5.3 4.7 2.8 1.9 3.1 3.6 7.5 Have Cooling Equipment............................. 93.3 21.5 24.1 17.8 11.2 18.8 13.0 31.1 Use Cooling Equipment.............................. 91.4 21.0 23.5 17.4 11.0 18.6 12.6 30.3 Have Equipment But Do Not Use it............. 1.9 0.5 0.6 0.4 Q Q 0.5 0.8 Type of Air-Conditioning Equipment 1, 2 Central System.......................................... 65.9 11.0 16.5 13.5 8.7 16.1 6.4 17.2 Without a Heat Pump.............................. 53.5 9.4 13.6 10.7 7.1 12.7 5.4 14.5 With a Heat Pump................................... 12.3 1.7 2.8 2.8 1.6 3.4 1.0 2.7 Window/Wall Units................................... 28.9 10.5 8.1 4.5 2.7 3.1 6.7 14.1 1 Unit...................................................... 14.5 5.8 4.3 2.0 1.1 1.3 3.4 7.4 2 Units....................................................

380

All-sky search for gravitational-wave bursts in the first joint LIGO-GEO-Virgo run  

E-Print Network (OSTI)

We present results from an all-sky search for unmodeled gravitational-wave bursts in the data collected by the LIGO, GEO 600 and Virgo detectors between November 2006 and October 2007. The search is performed by three ...

Weiss, Rainer

Note: This page contains sample records for the topic "total sky imager" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


381

Satellite-based reconstruction of the tropical oceanic clear sky outgoing longwave radiation and comparison with climate models  

Science Conference Proceedings (OSTI)

The changes of the outgoing longwave radiation (OLR) in clear-sky conditions have been calculated using High-resolution Infrared Radiation Sounder (HIRS) observations from 1979 to 2004. After applying corrections for satellite orbital drift and ...

Guillaume Gastineau; Brian J. Soden; Darren L. Jackson; Chris W. O’Dell

382

Starlight's Story: What can the light we see in the night sky tell us about the universe?  

E-Print Network (OSTI)

deal about an object from the light it emits. R eferencess S tory what can the light we see in the night sky tell usGriffin Rodgers a Visible light is a small band of

Rodgers, Griffen

2013-01-01T23:59:59.000Z

383

The Earth’s Clear-Sky Radiation Budget and Water Vapor Absorption in the Far Infrared  

Science Conference Proceedings (OSTI)

Detailed observational data are used to simulate the sensitivity of clear-sky outgoing longwave radiation (OLR) to water vapor perturbations in order to investigate the effect of uncertainties in water vapor measurements and spectroscopic ...

Ashok Sinha; John E. Harries

1997-07-01T23:59:59.000Z

384

Performance of Observation-Based Prediction Algorithms for Very Short-Range, Probabilistic Clear-Sky Condition Forecasting  

Science Conference Proceedings (OSTI)

Very short-range sky condition forecasts are produced to support a variety of military, civil, and commercial activities. In this investigation, six advanced, observation (obs)-based prediction algorithms were developed and tested that generated ...

Timothy J. Hall; Carl N. Mutchler; Greg J. Bloy; Rachel N. Thessin; Stephanie K. Gaffney; Jonathan J. Lareau

2011-01-01T23:59:59.000Z

385

Tropical Africa: Total Forest Biomass (By Country)  

NLE Websites -- All DOE Office Websites (Extended Search)

Tropical Africa: Total Forest Biomass (By Country) Tropical Africa: Total Forest Biomass (By Country) image Brown, S., and G. Gaston. 1996. Tropical Africa: Land Use, Biomass, and Carbon Estimates For 1980. ORNL/CDIAC-92, NDP-055. Carbon Dioxide Information Analysis Center, U.S. Department of Energy, Oak Ridge National Laboratory, Oak Ridge, Tennessee, U.S.A. More Maps Calculated Actual Aboveground Live Biomass in Forests (1980) Maximum Potential Biomass Density Land Use (1980) Area of Closed Forests (By Country) Mean Biomass of Closed Forests (By County) Area of Open Forests (By Country) Mean Biomass of Open Forests (By County) Percent Forest Cover (By Country) Population Density - 1990 (By Administrative Unit) Population Density - 1980 (By Administrative Unit) Population Density - 1970 (By Administrative Unit)

386

CLUSTERING OF SLOAN DIGITAL SKY SURVEY III PHOTOMETRIC LUMINOUS GALAXIES: THE MEASUREMENT, SYSTEMATICS, AND COSMOLOGICAL IMPLICATIONS  

Science Conference Proceedings (OSTI)

The Sloan Digital Sky Survey (SDSS) surveyed 14,555 deg{sup 2}, and delivered over a trillion pixels of imaging data. We present a study of galaxy clustering using 900,000 luminous galaxies with photometric redshifts, spanning between z = 0.45 and z = 0.65, constructed from the SDSS using methods described in Ross et al. This data set spans 11,000 deg{sup 2} and probes a volume of 3 h {sup -3} Gpc{sup 3}, making it the largest volume ever used for galaxy clustering measurements. We describe in detail the construction of the survey window function and various systematics affecting our measurement. With such a large volume, high-precision cosmological constraints can be obtained given careful control and understanding of the observational systematics. We present a novel treatment of the observational systematics and its applications to the clustering signals from the data set. In this paper, we measure the angular clustering using an optimal quadratic estimator at four redshift slices with an accuracy of {approx}15%, with a bin size of {delta}{sub l} = 10 on scales of the baryon acoustic oscillations (BAOs; at l {approx} 40-400). We also apply corrections to the power spectra due to systematics and derive cosmological constraints using the full shape of the power spectra. For a flat {Lambda}CDM model, when combined with cosmic microwave background Wilkinson Microwave Anisotropy Probe 7 (WMAP7) and H{sub 0} constraints from using 600 Cepheids observed by Wide Field Camera 3 (WFC3; HST), we find {Omega}{sub {Lambda}} = 0.73 {+-} 0.019 and H{sub 0} to be 70.5 {+-} 1.6 s{sup -1} Mpc{sup -1} km. For an open {Lambda}CDM model, when combined with WMAP7 + HST, we find {Omega}{sub K} = 0.0035 {+-} 0.0054, improved over WMAP7+HST alone by 40%. For a wCDM model, when combined with WMAP7+HST+SN, we find w = -1.071 {+-} 0.078, and H{sub 0} to be 71.3 {+-} 1.7 s{sup -1} Mpc{sup -1} km, which is competitive with the latest large-scale structure constraints from large spectroscopic surveys such as the SDSS Data Release 7 (DR7) and WiggleZ. We also find that systematic-corrected power spectra give consistent constraints on cosmological models when compared with pre-systematic correction power spectra in the angular scales of interest. The SDSS-III Data Release 8 (SDSS-III DR8) Angular Clustering Data allow a wide range of investigations into the cosmological model, cosmic expansion (via BAO), Gaussianity of initial conditions, and neutrino masses. Here, we refer to our companion papers for further investigations using the clustering data. Our calculation of the survey selection function, systematics maps, and likelihood function for the COSMOMC package will be released at http://portal.nersc.gov/project/boss/galaxy/photoz/.

Ho, Shirley; White, Martin; Schlegel, David J.; Seljak, Uros; Reid, Beth [Lawrence Berkeley National Laboratory, 1 Cyclotron Rd, MS 50R-5045, Berkeley, CA 94720 (United States); Cuesta, Antonio; Padmanabhan, Nikhil [Yale Center for Astronomy and Astrophysics, Yale University, New Haven, CT 06511 (United States); Seo, Hee-Jong [Berkeley Center for Cosmological Physics, LBL and Department of Physics, University of California, Berkeley, CA 94720 (United States); De Putter, Roland [ICC, University of Barcelona (IEEC-UB), Marti i Franques 1, E-08028 Barcelona (Spain); Ross, Ashley J.; Percival, Will J. [Institute of Cosmology and Gravitation, Dennis Sciama Building, University of Portsmouth, Portsmouth PO1 3FX (United Kingdom); Saito, Shun [Department of Astronomy, University of California Berkeley, CA (United States); Schlafly, Eddie [Department of Astronomy, Harvard University, 60 Garden St. MS 20, Cambridge, MA 02138 (United States); Hernandez-Monteagudo, Carlos [Centro de Estudios de Fisica del Cosmos de Aragon (CEFCA), Plaza de San Juan 1, planta 2, E-44001 Teruel (Spain); Sanchez, Ariel G. [Max-Planck-Institut fuer Extraterrestrische Physik, Giessenbachstrasse 1, D-85748 Garching (Germany); Blanton, Michael [Center for Cosmology and Particle Physics, Department of Physics, New York University, 4 Washington Place, New York, NY 10003 (United States); Skibba, Ramin [Steward Observatory, University of Arizona, 933 N. Cherry Avenue, Tucson, AZ 85721 (United States); Schneider, Don [Department of Astronomy and Astrophysics, The Pennsylvania State University, University Park, PA 16802 (United States); Mena, Olga [Instituto de Fisica Corpuscular, Universidad de Valencia-CSIC (Spain); Viel, Matteo, E-mail: cwho@lbl.gov [INAF-Osservatorio Astronomico di Trieste, Via G. B. Tiepolo 11, I-34131 Trieste (Italy); and others

2012-12-10T23:59:59.000Z

387

A MaxBCG Catalog of 13,823 Galaxy Clusters from the Sloan Digital Sky Survey  

E-Print Network (OSTI)

We present a catalog of galaxy clusters selected using the maxBCG redsequence method from Sloan Digital Sky Survey photometric data. This catalog includes 13,823 clusters with velocity dispersions greater than 400 km/s, and is the largest galaxy cluster catalog assembled to date. They are selected in an approximately volume-limited way from a 0.5 Gpc^3 region covering 7500 square degrees of sky between redshifts 0.1 and 0.3. (ABRIGDED)

Koester, B P; Annis, J; Wechsler, R H; Evrard, A; Bleem, L; Becker, M; Johnston, D; Sheldon, E; Nichol, R; Miller, C; Scranton, R; Bahcall, N; Barentine, J; Brewington, H; Brinkmann, J; Harvanek, M; Kleinman, S; Krzesínski, J; Long, D; Nitta, A; Schneider, D; Sneddin, S; Voges, W; York, D; 10.1086/509599

2008-01-01T23:59:59.000Z

388

A MaxBCG Catalog of 13,823 Galaxy Clusters from the Sloan Digital Sky Survey  

E-Print Network (OSTI)

We present a catalog of galaxy clusters selected using the maxBCG redsequence method from Sloan Digital Sky Survey photometric data. This catalog includes 13,823 clusters with velocity dispersions greater than 400 km/s, and is the largest galaxy cluster catalog assembled to date. They are selected in an approximately volume-limited way from a 0.5 Gpc^3 region covering 7500 square degrees of sky between redshifts 0.1 and 0.3. (ABRIGDED)

B. P. Koester; T. A. McKay; J. Annis; R. H. Wechsler; A. Evrard; L. Bleem; M. Becker; D. Johnston; E. Sheldon; R. Nichol; C. Miller; R. Scranton; N. Bahcall; J. Barentine; H. Brewington; J. Brinkmann; M. Harvanek; S. Kleinman; J. Krzesinski; D. Long; A. Nitta; D. Schneider; S. Sneddin; W. Voges; D. York; SDSS collaboration

2007-01-09T23:59:59.000Z

389

INFORMATION ON THE MILKY WAY FROM THE 2MASS ALL SKY STAR COUNT: BIMODAL COLOR DISTRIBUTIONS  

SciTech Connect

The J - K{sub s} color distributions (CDs) with a bin size of 0.05 mag has been carried out for the entire Milky Way using the Two Micron All Sky Survey Point Source Catalog (2MASS PSC). The CDs are bimodal, with a red peak at 0.8 < J - K{sub s} < 0.85 and a blue peak at 0.3 < J - K{sub s} < 0.4. The colors of the red peak are more or less the same for the whole sky, but those of the blue peak depend on Galactic latitude (J - K{sub s} {approx} 0.35 at low Galactic latitudes and 0.35 < J - K{sub s} < 0.4 for other sky areas). The blue peak dominates the bimodal CDs at low Galactic latitudes and becomes comparable with the red peak in other sky regions. In order to explain the bimodal distribution and the global trend shown by the all-sky 2MASS CDs, we assemble an empirical Hertzsprung-Russell (H-R) diagram, which is composed of observational-based near-infrared H-R diagrams and color-magnitude diagrams, and incorporate a Milky Way model. In the empirical H-R diagram, the main-sequence turn-off for stars in the thin disk is relatively bluer, (J - K{sub s} ){sub 0} = 0.31, compared with that of the thick disk which is (J - K{sub s} ){sub 0} = 0.39. The age of the thin/thick disk is roughly estimated to be around 4-5/8-9 Gyr according to the color-age relation of the main-sequence turn-off. In general, the 2MASS CDs can be treated as a tool to measure the age of the stellar population of the Milky Way in a statistical manner and to our knowledge it is the first attempt to do so.

Chang, Chan-Kao; Lai, Shao-Yu; Peng, Ting-Hung [Institute of Astronomy, National Central University, Jhongli, Taiwan (China); Ko, Chung-Ming, E-mail: rex@astro.ncu.edu.tw, E-mail: cmko@astro.ncu.edu.tw [Institute of Astronomy, Department of Physics and Center of Complex Systems, National Central University, Jhongli, Taiwan (China)

2012-11-10T23:59:59.000Z

390

Idle Operating Total Stream Day  

U.S. Energy Information Administration (EIA) Indexed Site

3 3 Idle Operating Total Stream Day Barrels per Idle Operating Total Calendar Day Barrels per Atmospheric Crude Oil Distillation Capacity Idle Operating Total Operable Refineries Number of State and PAD District a b b 11 10 1 1,293,200 1,265,200 28,000 1,361,700 1,329,700 32,000 ............................................................................................................................................... PAD District I 1 1 0 182,200 182,200 0 190,200 190,200 0 ................................................................................................................................................................................................................................................................................................ Delaware......................................

391

Four Faint T Dwarfs from the UKIRT Infrared Deep Sky Survey (UKIDSS) Southern Stripe  

E-Print Network (OSTI)

We present the optical and near-infrared photometry and spectroscopy of four faint T dwarfs newly discovered from the UKIDSS first data release. The sample, drawn from an imaged area of ~136 square degrees to a depth of Y=19.9 (5-sigma, Vega), is located in the SDSS Southern Equatorial Stripe, a region of significant future deep imaging potential. We detail the selection and followup of these objects, three of which are spectroscopically confirmed brown dwarfs ranging from type T2.5 to T7.5, and one is photometrically identified as early T. Their magnitudes range from Y=19.01 to 19.88 with derived distances from 34 to 98 pc, making these among the coldest and faintest brown dwarfs known. The sample brings the total number of T dwarfs found or confirmed by UKIDSS data in this region to nine, and we discuss the projected numbers of dwarfs in the future survey data. We estimate that ~240 early- and late-T dwarfs are discoverable in the UKIDSS LAS data, falling significantly short of published model projections and suggesting that IMFs and/or birthrates may be at the low end of possible models. Thus, deeper optical data has good potential to exploit the UKIDSS survey depth more fully, but may still find the potential Y dwarf sample to be extremely rare.

Kuenley Chiu; Michael C. Liu; Linhua Jiang; Katelyn N. Allers; Daniel P. Stark; Andrew Bunker; Xiaohui Fan; Karl Glazebrook; Trent J. Dupuy

2007-12-08T23:59:59.000Z

392

total energy | OpenEI  

Open Energy Info (EERE)

total energy total energy Dataset Summary Description This dataset comes from the Energy Information Administration (EIA), and is part of the 2011 Annual Energy Outlook Report (AEO2011). This dataset is table 1, and contains only the reference case. The dataset uses quadrillion BTUs, and quantifies the energy prices using U.S. dollars. The data is broken down into total production, imports, exports, consumption, and prices for energy types. Source EIA Date Released April 26th, 2011 (3 years ago) Date Updated Unknown Keywords 2011 AEO consumption EIA export import production reference case total energy Data application/vnd.ms-excel icon AEO2011: Total Energy Supply, Disposition, and Price Summary - Reference Case (xls, 112.8 KiB) Quality Metrics Level of Review Peer Reviewed

393

Cloudy Skies  

NLE Websites -- All DOE Office Websites (Extended Search)

Analysis of Cloud Radiative Forcing andFeedback Analysis of Cloud Radiative Forcing andFeedback in a Climate General Circulation Model A. A. lacis NASA Goddard Space Flight Center Institute for Space Studies New York, NY 10225 The principal objectives of the Atmospheric Radiation Measurement (ARM) Program research at the Goddard Institute for Space Studies (GISS) are 1) to improve and validate the radiation parameterizations in the GISS general circulation model (GCM) through model intercomparisons with line-by-line calculations and through comparisons with ARM observations, 2) to improve the GCM diagnostic output to enable more effective comparisons to global cloud/radiation data sets, and 3) to use ARM Cloud and Radiation Testbed (CART) data to develop improved parameterization of clouds in the GCM and to study the

394

Neural networks and separation of Cosmic Microwave Background and astrophysical signals in sky maps  

E-Print Network (OSTI)

The Independent Component Analysis (ICA) algorithm is implemented as a neural network for separating signals of different origin in astrophysical sky maps. Due to its self-organizing capability, it works without prior assumptions on the signals, neither on their frequency scaling, nor on the signal maps themselves; instead, it learns directly from the input data how to separate the physical components, making use of their statistical independence. To test the capabilities of this approach, we apply the ICA algorithm on sky patches, taken from simulations and observations, at the microwave frequencies, that are going to be deeply explored in a few years on the whole sky, by the Microwave Anisotropy Probe (MAP) and by the {\\sc Planck} Surveyor Satellite. The maps are at the frequencies of the Low Frequency Instrument (LFI) aboard the {\\sc Planck} satellite (30, 44, 70 and 100 GHz), and contain simulated astrophysical radio sources, Cosmic Microwave Background (CMB) radiation, and Galactic diffuse emissions from thermal dust and synchrotron. We show that the ICA algorithm is able to recover each signal, with precision going from 10% for the Galactic components to percent for CMB; radio sources are almost completely recovered down to a flux limit corresponding to $0.7\\sigma_{CMB}$, where $\\sigma_{CMB}$ is the rms level of CMB fluctuations. The signal recovering possesses equal quality on all the scales larger then the pixel size. In addition, we show that the frequency scalings of the input signals can be partially inferred from the ICA outputs, at the percent precision for the dominant components, radio sources and CMB.

C. Baccigalupi; L. Bedini; C. Burigana; G. De Zotti; A. Farusi; D. Maino; M. Maris; F. Perrotta; E. Salerno; L. Toffolatti; A. Tonazzini

2000-02-11T23:59:59.000Z

395

HARMONIC IN-PAINTING OF COSMIC MICROWAVE BACKGROUND SKY BY CONSTRAINED GAUSSIAN REALIZATION  

SciTech Connect

The presence of astrophysical emissions between the last scattering surface and our vantage point requires us to apply a foreground mask on cosmic microwave background (CMB) sky maps, leading to large cuts around the Galactic equator and numerous holes. Since many CMB analysis, in particular on the largest angular scales, may be performed on a whole-sky map in a more straightforward and reliable manner, it is of utmost importance to develop an efficient method to fill in the masked pixels in a way compliant with the expected statistical properties and the unmasked pixels. In this Letter, we consider the Monte Carlo simulation of a constrained Gaussian field and derive it CMB anisotropy in harmonic space, where a feasible implementation is possible with good approximation. We applied our method to simulated data, which shows that our method produces a plausible whole-sky map, given the unmasked pixels, and a theoretical expectation. Subsequently, we applied our method to the Wilkinson Microwave Anisotropy Probe foreground-reduced maps and investigated the anomalous alignment between quadrupole and octupole components. From our investigation, we find that the alignment in the foreground-reduced maps is even higher than the Internal Linear Combination map. We also find that the V-band map has higher alignment than other bands, despite the expectation that the V-band map has less foreground contamination than other bands. Therefore, we find it hard to attribute the alignment to residual foregrounds. Our method will be complementary to other efforts on in-painting or reconstructing the masked CMB data, and of great use to Planck surveyor and future missions.

Kim, Jaiseung; Naselsky, Pavel [Niels Bohr Institute and Discovery Center, Blegdamsvej 17, DK-2100 Copenhagen (Denmark); Mandolesi, Nazzareno, E-mail: jkim@nbi.dk [INAF/IASF, Istituto di Astrofisica Spaziale e Fisica Cosmica di Bologna, Istituto Nazionale di Astrofisica, via Gobetti 101, I-40129 Bologna (Italy)

2012-05-01T23:59:59.000Z

396

The WHAM Northern Sky Survey and the Nature of the Warm Ionized Medium in the Galaxy  

E-Print Network (OSTI)

The Wisconsin H-Alpha Mapper (WHAM) has completed a velocity-resolved map of diffuse H-alpha emission of the entire northern sky, providing the first comprehensive picture of both the distribution and kinematics of diffuse ionized gas in the Galaxy. WHAM continues to advance our understanding of the physical conditions of the warm ionized medium through observations of other optical emission lines throughout the Galactic disk and halo. We discuss some highlights from the survey, including an optical window into the inner Galaxy and the relationship between HI and HII in the diffuse ISM.

Madsen, G J

2003-01-01T23:59:59.000Z

397

THE WHAM NORTHERN SKY SURVEY AND THE NATURE OF THE WARM IONIZED MEDIUM IN THE GALAXY  

E-Print Network (OSTI)

The Wisconsin H-Alpha Mapper (WHAM) has completed a velocity-resolved map of diffuse H? emission of the entire northern sky, providing the first comprehensive picture of both the distribution and kinematics of diffuse ionized gas in the Galaxy. WHAM continues to advance our understanding of the physical conditions of the warm ionized medium through observations of other optical emission lines throughout the Galactic disk and halo. We discuss some highlights from the survey, including an optical window into the inner Galaxy and the relationship between H I and H II in the diffuse ISM. 1.

G. J. Madsen

2003-01-01T23:59:59.000Z

398

The WHAM Northern Sky Survey and the Nature of the Warm Ionized Medium in the Galaxy  

E-Print Network (OSTI)

The Wisconsin H-Alpha Mapper (WHAM) has completed a velocity-resolved map of diffuse H-alpha emission of the entire northern sky, providing the first comprehensive picture of both the distribution and kinematics of diffuse ionized gas in the Galaxy. WHAM continues to advance our understanding of the physical conditions of the warm ionized medium through observations of other optical emission lines throughout the Galactic disk and halo. We discuss some highlights from the survey, including an optical window into the inner Galaxy and the relationship between HI and HII in the diffuse ISM.

G. J. Madsen

2003-10-13T23:59:59.000Z

399

Cataclysmic Variables From the Sloan Digital Sky Survey. VI. the Sixth Year (2005)  

SciTech Connect

The 28 cataclysmic variables found in 2005 in the Sloan Digital Sky Survey are presented with their coordinates, magnitudes and spectra. Five of these systems are previously known CVs (HH Cnc, SX LMi, QZ Ser, RXJ1554.2+2721 and HS1016+3412) and the rest are new discoveries. Additional spectroscopic, photometric and/or polarimetric observations of 10 systems were carried out, resulting in estimates of the orbital periods for seven of the new binaries. The 23 new CVs include one eclipsing system, one new Polar and five systems whose spectra clearly reveal atmospheric absorption lines from the underlying white dwarf.

Szkody, Paula; /Washington U., Seattle, Astron. Dept.; Henden, Arne; /Naval Observ., Flagstaff /AAVSO, Cambridge; Mannikko, Lee; Mukadam, Anjum; /Washington U., Seattle,; Schmidt, Gary D.; /Arizona U., Astron. Dept. - Steward Observ.; Bochanski, John J.; Agueros, Marcel; Anderson, Scott F.; Silvestri, Nicole M.; /Washington U., Seattle,; Dahab, William E.; /Princeton U. Observ.; Oguri, Masamune; /Princeton U. Observ. /KIPAC, Menlo Park; Schneider, Donald P.; /Penn State U., Astron. Astrophys.; Shin,; Strauss, Michael A.; Knapp, Gillian R.; /Princeton U. Observ.; West, Andrew A.; /Washington U., Seattle, Astron. Dept.

2007-06-15T23:59:59.000Z

400

New Neutrino Mass Bounds from Sloan Digital Sky Survey III Data Release 8 Photometric Luminous Galaxies  

E-Print Network (OSTI)

We present neutrino mass bounds using 900,000 luminous galaxies with photometric redshifts measured from Sloan Digital Sky Survey III Data Release Eight (SDSS DR8). The galaxies have photometric redshifts between $z = 0.45$ and $z = 0.65$, and cover 10,000 square degrees and thus probe a volume of 3$h^{-3}$Gpc$^3$, enabling tight constraints to be derived on the amount of dark matter in the form of massive neutrinos. A new bound on the sum of neutrino masses $\\sum m_\

de Putter, Roland; Giusarma, Elena; Ho, Shirley; Cuesta, Antonio; Seo, Hee-Jong; Ross, Ashley; White, Martin; Bizyaev, Dmitry; Brewington, Howard; Kirkby, David; Malanushenko, Elena; Malanushenko, Viktor; Oravetz, Daniel; Pan, Kaike; Percival, Will J; Ross, Nicholas P; Schneider, Donald P; Shelden, Alaina; Simmons, Audrey; Snedden, Stephanie

2012-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "total sky imager" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


401

U.S. Total Exports  

Annual Energy Outlook 2012 (EIA)

Springs, VT U.S. Pipeline Total from Mexico Ogilby, CA Otay Mesa, CA Galvan Ranch, TX LNG Imports from Algeria LNG Imports from Australia LNG Imports from Brunei LNG Imports...

402

NIST Image Gallery: Image Details  

Science Conference Proceedings (OSTI)

... 72 DPI Image © 150 DPI Image © 300 DPI Image ©. Title: Homeland Security; Chem., Bio, and Other Threats; Standards for Radiation Detection. ...

403

NIST Image Gallery: Image Details  

Science Conference Proceedings (OSTI)

... Image Gallery : Image Details. No 72 DPI Version No 150 DPI Version 300 DPI Image. Title: Gold Nano Anchors Put Nanowires in Their Place. ...

404

NIST Image Gallery: Image Details  

Science Conference Proceedings (OSTI)

... 72 DPI Image © 150 DPI Image © 300 DPI Image ©. Title: Iron-based and Copper-Oxide High-Temperature Superconductors. ...

405

ARM: Ka-Band Scanning ARM Cloud Radar (KASACR) Hemispherical Sky RHI Scan (6 horizon-to-horizon scans at 30-degree azimuth intervals)  

DOE Data Explorer (OSTI)

Ka-Band Scanning ARM Cloud Radar (KASACR) Hemispherical Sky RHI Scan (6 horizon-to-horizon scans at 30-degree azimuth intervals)

Nitin Bharadwaj; Kevin Widener

406

Influence of sky radiance measurement errors on inversion-retrieved aerosol properties  

SciTech Connect

Remote sensing of the atmospheric aerosol is a well-established technique that is currently used for routine monitoring of this atmospheric component, both from ground-based and satellite. The AERONET program, initiated in the 90's, is the most extended network and the data provided are currently used by a wide community of users for aerosol characterization, satellite and model validation and synergetic use with other instrumentation (lidar, in-situ, etc.). Aerosol properties are derived within the network from measurements made by ground-based Sun-sky scanning radiometers. Sky radiances are acquired in two geometries: almucantar and principal plane. Discrepancies in the products obtained following both geometries have been observed and the main aim of this work is to determine if they could be justified by measurement errors. Three systematic errors have been analyzed in order to quantify the effects on the inversion-derived aerosol properties: calibration, pointing accuracy and finite field of view. Simulations have shown that typical uncertainty in the analyzed quantities (5% in calibration, 0.2 Degree-Sign in pointing and 1.2 Degree-Sign field of view) yields to errors in the retrieved parameters that vary depending on the aerosol type and geometry. While calibration and pointing errors have relevant impact on the products, the finite field of view does not produce notable differences.

Torres, B.; Toledano, C.; Cachorro, V. E.; Bennouna, Y. S.; Fuertes, D.; Gonzalez, R.; Frutos, A. M. de [Atmospheric Optics Group (GOA), University of Valladolid, Valladolid (Spain); Berjon, A. J. [Izana Atmospheric Research Center, Meteorological State Agency of Spain (AEMET), Sta. Cruz de Tenerife (Spain); Dubovik, O.; Goloub, P.; Podvin, T.; Blarel, L. [Laboratory of Atmospheric Optics, Universite Lille 1, Villeneuve d'Ascq (France)

2013-05-10T23:59:59.000Z

407

Multi-wavelength study of 14000 star-forming galaxies from the Sloan Digital Sky Survey  

E-Print Network (OSTI)

(abridged) We studied a large sample of ~14000 dwarf star-forming galaxies with strong emission lines selected from the Sloan Digital Sky Survey (SDSS) and distributed in the redshift range of z~0-0.6. We modelled spectral energy distributions (SED) of all galaxies which were based on the SDSS spectra in the visible range of 0.38-0.92 micron and included both the stellar and ionised gas emission. These SEDs were extrapolated to the UV and mid-infrared ranges to cover the wavelength range of 0.1-22 micron. The SDSS spectroscopic data were supplemented by photometric data from the GALEX, SDSS, 2MASS, WISE, IRAS, and NVSS all-sky surveys. We derived global characteristics of the galaxies, such as their element abundances, luminosities, and stellar masses. The luminosities and stellar masses range within the sample over ~5 orders of magnitude, thereby linking low-mass and low-luminosity blue compact dwarf (BCD) galaxies to luminous galaxies, which are similar to high-redshift Lyman-break galaxies (LBGs). The lumi...

Izotov, Y I; Fricke, K J; Henkel, C

2013-01-01T23:59:59.000Z

408

Galactic Globular and Open Clusters in the Sloan Digital Sky Survey. I. Crowded Field Photometry and Cluster Fiducial Sequences in ugriz  

E-Print Network (OSTI)

We present photometry for globular and open cluster stars observed with the Sloan Digital Sky Survey (SDSS). In order to exploit over 100 million stellar objects with r < 22.5 mag observed by SDSS, we need to understand the characteristics of stars in the SDSS ugriz filters. While star clusters provide important calibration samples for stellar colors, the regions close to globular clusters, where the fraction of field stars is smallest, are too crowded for the standard SDSS photometric pipeline to process. To complement the SDSS imaging survey, we reduce the SDSS imaging data for crowded cluster fields using the DAOPHOT/ALLFRAME suite of programs and present photometry for 17 globular clusters and 3 open clusters in a SDSS value-added catalog. Our photometry and cluster fiducial sequences are on the native SDSS 2.5-meter ugriz photometric system, and the fiducial sequences can be directly applied to the SDSS photometry without relying upon any transformations. Model photometry for red giant branch and main...

An, Deokkeun; Clem, James L; Yanny, Brian; Rockosi, Constance M; Morrison, Heather L; Harding, Paul; Gunn, James E; Prieto, Carlos Allende; Beers, Timothy C; Cudworth, Kyle M; Ivans, Inese I; Ivezic, Zeljko; Lee, Young Sun; Lupton, Robert H; Bizyaev, Dmitry; Brewington, Howard; Malanushenko, Elena; Malanushenko, Viktor; Oravetz, Dan; Pan, Kaike; Simmons, Audrey; Snedden, Stephanie; Watters, Shannon; York, Donald G

2008-01-01T23:59:59.000Z

409

Galactic Globular and Open Clusters in the Sloan Digital Sky Survey. I. Crowded Field Photometry and Cluster Fiducial Sequences in ugriz  

E-Print Network (OSTI)

We present photometry for globular and open cluster stars observed with the Sloan Digital Sky Survey (SDSS). In order to exploit over 100 million stellar objects with r < 22.5 mag observed by SDSS, we need to understand the characteristics of stars in the SDSS ugriz filters. While star clusters provide important calibration samples for stellar colors, the regions close to globular clusters, where the fraction of field stars is smallest, are too crowded for the standard SDSS photometric pipeline to process. To complement the SDSS imaging survey, we reduce the SDSS imaging data for crowded cluster fields using the DAOPHOT/ALLFRAME suite of programs and present photometry for 17 globular clusters and 3 open clusters in a SDSS value-added catalog. Our photometry and cluster fiducial sequences are on the native SDSS 2.5-meter ugriz photometric system, and the fiducial sequences can be directly applied to the SDSS photometry without relying upon any transformations. Model photometry for red giant branch and main-sequence stars obtained by Girardi et al. cannot be matched simultaneously to fiducial sequences; their colors differ by ~0.02-0.05 mag. Good agreement (< ~0.02 mag in colors) is found with Clem et al. empirical fiducial sequences in u'g'r'i'z' when using the transformation equations in Tucker et al.

Deokkeun An; Jennifer A. Johnson; James L. Clem; Brian Yanny; Constance M. Rockosi; Heather L. Morrison; Paul Harding; James E. Gunn; Carlos Allende Prieto; Timothy C. Beers; Kyle M. Cudworth; Inese I. Ivans; Zeljko Ivezic; Young Sun Lee; Robert H. Lupton; Dmitry Bizyaev; Howard Brewington; Elena Malanushenko; Viktor Malanushenko; Dan Oravetz; Kaike Pan; Audrey Simmons; Stephanie Snedden; Shannon Watters; Donald G. York

2008-07-31T23:59:59.000Z

410

Compact Totally Disconnected Moufang Buildings  

E-Print Network (OSTI)

Let $\\Delta$ be a spherical building each of whose irreducible components is infinite, has rank at least 2 and satisfies the Moufang condition. We show that $\\Delta$ can be given the structure of a topological building that is compact and totally disconnected precisely when $\\Delta$ is the building at infinity of a locally finite affine building.

Grundhofer, T; Van Maldeghem, H; Weiss, R M

2010-01-01T23:59:59.000Z

411

Total Imports of Residual Fuel  

Annual Energy Outlook 2012 (EIA)

2007 2008 2009 2010 2011 2012 View History U.S. Total 135,676 127,682 120,936 133,646 119,888 93,672 1936-2012 PAD District 1 78,197 73,348 69,886 88,999 79,188 59,594 1981-2012...

412

On Determining the Spectrum of Primordial Inhomogeneity from the COBE DMR Sky Maps: II. Results of Two Year Data Analysis  

E-Print Network (OSTI)

A new technique of Fourier analysis on a cut sky (Gorski, 1994) has been applied to the two year COBE DMR sky maps. The Bayesian power spectrum estimation results are consistent with the Harrison-Zel'dovich n=1 model. The maximum likelihood estimates of the parameters of the power spectrum of primordial perturbations are n=1.22 (1.02) and Q_{rms-PS}=17 (20) uK including (excluding) the quadrupole anisotropy. The marginal likelihood function on n renders n=1.10 \\pm 0.32 (0.87 \\pm 0.36).

K. M. Gorski; G. Hinshaw; A. J. Banday; C. L. Bennett; E. L. Wright; A. Kogut; G. F. Smoot; P. Lubin

1994-03-31T23:59:59.000Z

413

Cloud-Base-Height Estimation from Paired Ground-Based Hemispherical Observations  

Science Conference Proceedings (OSTI)

Total-sky imager (TSI) and hemispheric-sky imager (HSI) each have a hemispherical field of view, and many TSIs are now deployed. These instruments have been used routinely to provide a time series of the fractional sky cover only. In this study, ...

Evgueni Kassianov; Charles N. Long; Jason Christy

2005-08-01T23:59:59.000Z

414

Buildings","Total  

U.S. Energy Information Administration (EIA) Indexed Site

L2. Floorspace Lit by Lighting Types (Non-Mall Buildings), 1999" L2. Floorspace Lit by Lighting Types (Non-Mall Buildings), 1999" ,"Floorspace (million square feet)" ,"Total (Lit or Unlit) in All Buildings","Total (Lit or Unlit) in Buildings With Any Lighting","Lighted Area Only","Area Lit by Each Type of Light" ,,,,"Incan- descent","Standard Fluor-escent","Compact Fluor- escent","High Intensity Discharge","Halogen" "All Buildings* ...............",61707,58693,49779,6496,37150,3058,5343,1913 "Building Floorspace" "(Square Feet)" "1,001 to 5,000 ...............",6750,5836,4878,757,3838,231,109,162 "5,001 to 10,000 ..............",7940,7166,5369,1044,4073,288,160,109 "10,001 to 25,000 .............",10534,9773,7783,1312,5712,358,633,232

415

Performance Period Total Fee Paid  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Period Period Total Fee Paid 4/29/2012 - 9/30/2012 $418,348 10/1/2012 - 9/30/2013 $0 10/1/2013 - 9/30/2014 $0 10/1/2014 - 9/30/2015 $0 10/1/2015 - 9/30/2016 $0 Cumulative Fee Paid $418,348 Contract Type: Cost Plus Award Fee Contract Period: $116,769,139 November 2011 - September 2016 $475,395 $0 Fee Information Total Estimated Contract Cost $1,141,623 $1,140,948 $1,140,948 $5,039,862 $1,140,948 Maximum Fee $5,039,862 Minimum Fee Fee Available Portage, Inc. DE-DT0002936 EM Contractor Fee Site: MOAB Uranium Mill Tailings - MOAB, UT Contract Name: MOAB Uranium Mill Tailings Remedial Action Contract September 2013 Contractor: Contract Number:

416

Buildings","Total  

U.S. Energy Information Administration (EIA) Indexed Site

L1. Floorspace Lit by Lighting Type for Non-Mall Buildings, 1995" L1. Floorspace Lit by Lighting Type for Non-Mall Buildings, 1995" ,"Floorspace (million square feet)" ,"Total (Lit or Unlit) in All Buildings","Total (Lit or Unlit) in Buildings With Any Lighting","Lighted Area Only","Area Lit by Each Type of Light" ,,,,"Incan- descent","Standard Fluor-escent","Compact Fluor- escent","High Intensity Discharge","Halogen" "All Buildings*",54068,51570,45773,6746,34910,1161,3725,779 "Building Floorspace" "(Square Feet)" "1,001 to 5,000",6272,5718,4824,986,3767,50,22,54 "5,001 to 10,000",7299,6667,5728,1240,4341,61,169,45 "10,001 to 25,000",10829,10350,8544,1495,6442,154,553,"Q"

417

ARM - Measurement - Total cloud water  

NLE Websites -- All DOE Office Websites (Extended Search)

cloud water cloud water ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Measurement : Total cloud water The total concentration (mass/vol) of ice and liquid water particles in a cloud; this includes condensed water content (CWC). Categories Cloud Properties Instruments The above measurement is considered scientifically relevant for the following instruments. Refer to the datastream (netcdf) file headers of each instrument for a list of all available measurements, including those recorded for diagnostic or quality assurance purposes. External Instruments NCEPGFS : National Centers for Environment Prediction Global Forecast System Field Campaign Instruments CSI : Cloud Spectrometer and Impactor PDI : Phase Doppler Interferometer

418

Buildings","Total  

U.S. Energy Information Administration (EIA) Indexed Site

L3. Floorspace Lit by Lighting Type (Non-Mall Buildings), 2003" L3. Floorspace Lit by Lighting Type (Non-Mall Buildings), 2003" ,"Floorspace (million square feet)" ,"Total (Lit or Unlit) in All Buildings","Total (Lit or Unlit) in Buildings With Any Lighting","Lighted Area Only","Area Lit by Each Type of Light" ,,,,"Incan- descent","Standard Fluor-escent","Compact Fluor- escent","High Intensity Discharge","Halogen" "All Buildings* ...............",64783,62060,51342,5556,37918,4004,4950,2403 "Building Floorspace" "(Square Feet)" "1,001 to 5,000 ...............",6789,6038,4826,678,3932,206,76,124 "5,001 to 10,000 ..............",6585,6090,4974,739,3829,192,238,248 "10,001 to 25,000 .............",11535,11229,8618,1197,6525,454,506,289

419

Flattening Scientific CCD Imaging Data with a Dome Flat Field System  

E-Print Network (OSTI)

We describe the flattening of scientific CCD imaging data using a dome flat field system. The system uses light emitting diodes (LEDs) to illuminate a carefully constructed dome flat field screen. LEDs have several advantages over more traditional illumination sources: they are available in a wide range of output wavelengths, are inexpensive, have a very long source lifetime, and are straightforward to control digitally. The circular dome screen is made of a material with Lambertian scattering properties that efficiently reflects light of a wide range of wavelengths and incident angles. We compare flat fields obtained using this new system with two types of traditionally-constructed flat fields: twilight sky flats and nighttime sky flats. Using photometric standard stars as illumination sources, we test the quality of each flat field by applying it to a set of standard star observations. We find that the dome flat field system produces flat fields that are superior to twilight or nighttime sky flats, particularly for photometric calibration. We note that a ratio of the twilight sky flat to the nighttime sky flat is flat to within the expected uncertainty; but since both of these flat fields are inferior to the dome flat, this common test is not an appropriate metric for testing a flat field. Rather, the only feasible and correct method for determining the appropriateness of a flat field is to use standard stars to measure the reproducibility of known magnitudes across the detector.

J. L. Marshall; D. L. DePoy

2005-10-07T23:59:59.000Z

420

All-Sky Earth Occultation Observations with the Fermi Gamma Ray Burst Monitor  

E-Print Network (OSTI)

Using the Gamma Ray Burst Monitor (GBM) on-board Fermi, we are monitoring the hard X-ray/soft gamma ray sky using the Earth occultation technique. Each time a source in our catalog enters or exits occultation by the Earth, we measure its flux using the change in count rates due to the occultation. Currently we are using CTIME data with 8 energy channels spanning 8 keV to 1 MeV for the GBM NaI detectors and spanning 150 keV to 40 MeV for the GBM BGO detectors. Our preliminary catalog consists of galactic X-ray binaries, the Crab Nebula, and active galactic nuclei. In addition, to Earth occultations, we have observed numerous occultations with Fermi's solar panels. We will present early results. Regularly updated results can be found on our website http://gammaray.nsstc.nasa.gov/gbm/science/occultation

Wilson-Hodge, Colleen A; Bhat, P N; Briggs, M S; Chaplin, V; Connaughton, V; Camero-Arranz, A; Case, G; Cherry, M; Rodi, J; Finger, M H; Jenke, P; Haynes, R H

2009-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "total sky imager" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


421

Unresolved H-Alpha Enhancements at High Galactic Latitude in the WHAM Sky Survey Maps  

E-Print Network (OSTI)

We have identified 85 regions of enhanced H-Alpha emission at |b| > 10 degrees subtending approximately 1 degree or less on the Wisconsin H-Alpha Mapper (WHAM) sky survey. These high latitude ``WHAM point sources'' have H-Alpha fluxes of 10^{-11} to 10^{-9} erg cm^-2 s^-1, radial velocities within about 70 km/s of the LSR, and line widths that range from less than 20 km/s to about 80 km/s (FWHM). Twenty nine of these enhancements are not identified with either cataloged nebulae or hot stars and appear to have kinematic properties that differ from those observed for planetary nebulae. Another 14 enhancements are near hot evolved low mass stars that had no previously reported detections of associated nebulosity. The remainder of the enhancements are cataloged planetary nebulae and small, high latitude H II regions surrounding massive O and early B stars.

R. J. Reynolds; V. Chaudhary; G. J. Madsen; L. M. Haffner

2004-11-04T23:59:59.000Z

422

Unresolved H-Alpha Enhancements at High Galactic Latitude in the WHAM Sky Survey Maps  

E-Print Network (OSTI)

We have identified 85 regions of enhanced H-Alpha emission at |b| > 10 degrees subtending approximately 1 degree or less on the Wisconsin H-Alpha Mapper (WHAM) sky survey. These high latitude ``WHAM point sources'' have H-Alpha fluxes of 10^{-11} to 10^{-9} erg cm^-2 s^-1, radial velocities within about 70 km/s of the LSR, and line widths that range from less than 20 km/s to about 80 km/s (FWHM). Twenty nine of these enhancements are not identified with either cataloged nebulae or hot stars and appear to have kinematic properties that differ from those observed for planetary nebulae. Another 14 enhancements are near hot evolved low mass stars that had no previously reported detections of associated nebulosity. The remainder of the enhancements are cataloged planetary nebulae and small, high latitude H II regions surrounding massive O and early B stars.

Reynolds, R J; Madsen, G J; Haffner, L M

2004-01-01T23:59:59.000Z

423

Simplified clear sky model for direct and diffuse insolation on horizontal surfaces  

DOE Green Energy (OSTI)

A detailed comparison was made between five simple broadband models for clear sky global insolation. Compared models were those of Atwater and Ball, Davies and Hay, Watt, Hoyt, and Lacis and Hansen. A sixth simple model, called the Bird model, has been formulated by using parts of these five models and by comparison with the results from three rigorous radiative transfer codes. All of the simple models provide results that agree within < 10% with the three rigorous codes when the sun is in the zenith position. The Bird and Hoyt models agree within 3% with each other and with the results of the rigorous codes. However, the Bird model is easier to implement and has broader application than the Hoyt model.

Bird, R.E.; Hulstrom, R.L.

1981-02-01T23:59:59.000Z

424

A Catalogue of RR Lyrae Stars from the Northern Sky Variability Survey  

E-Print Network (OSTI)

A search for RR Lyrae stars has been conducted in the publicly available data of the Northern Sky Variability Survey (NSVS). Candidates have been selected by the statistical properties of their variation; the standard deviation, skewness and kurtosis with appropriate limits determined from a sample 314 known RRab and RRc stars listed in the GCVS. From the period analysis and light curve shape of over 3000 candidates 785 RR Lyrae have been identified of which 188 are previously unknown. The light curves were examined for the Blazhko effect and several new stars showing this were found. Six double-mode RR Lyrae stars were also found of which two are new discoveries. Some previously known variables have been reclassified as RR Lyrae stars and similarly some RR Lyrae stars have been found to be other types of variable, or not variable at all.

Patrick Wils; Christopher Lloyd; Klaus Bernhard

2006-01-19T23:59:59.000Z

425

Improving the Accuracy of Using Pyranometers to Measure the Clear Sky Global Solar Irradiance  

DOE Green Energy (OSTI)

Pyranometer users have customarily applied one responsivity value when calculating the global solar irradiance. Usually, the responsivity value is reported by either the manufacturer or a calibration facility. Many pyranometer calibrations, made both at NREL and elsewhere, have shown that the responsivity of a pyranometer changes with the change in solar zenith and azimuth angles. Depending on how well the pyranometer sensor is radiometrically leveled, these changes can exceed +/-5% of the reported responsivity, which means that errors in the calculated global solar irradiance can exceed +/-5% from the nominal values. This paper describes a method to decrease the errors resulting from the change of the solar zenith angle under clear sky conditions. Two responsivity functions, morning and afternoon, were used instead of one responsivity value. The two functions have been chosen because of asymmetry of the morning and afternoon cosine responses demonstrated by some pyranometers.

Reda, I.

1998-06-01T23:59:59.000Z

426

Searching for Spurious Solar and Sky Lines in the Fermi-LAT Spectrum  

E-Print Network (OSTI)

We search for a unified instrumental explanation of the spectral features seen near $E_\\gamma=130$ GeV in photons collected by Fermi-LAT from the galactic center and from the Earth's limb. We report for the first time a similar feature in photons originating from the vicinity of the Sun, and examine the instrumental characteristics of this Solar feature. To test an instrumental hypothesis, we identify the range of photon incident angles where most of the peak photons are observed in these three spectral features. An examination of the spectrum of photons from the rest of the sky with this characteristic angular range reveals a hint of a spectral feature near $E_\\gamma=130$ GeV. These results cast further doubt on the dark-matter-annihilation interpretation of the galactic center peak.

Daniel Whiteson

2013-02-02T23:59:59.000Z

427

A CATALOG OF QUASAR PROPERTIES FROM SLOAN DIGITAL SKY SURVEY DATA RELEASE 7  

Science Conference Proceedings (OSTI)

We present a compilation of properties of the 105,783 quasars in the Sloan Digital Sky Survey Data Release 7 (DR7) quasar catalog. In this product, we compile continuum and emission line measurements around the H{alpha}, H{beta}, Mg II, and C IV regions, as well as other quantities such as radio properties, and flags indicating broad absorption line quasars, disk emitters, etc. We also compile virial black hole mass estimates based on various calibrations. For the fiducial virial mass estimates we use the Vestergaard and Peterson (VP06) calibrations for H{beta} and C IV, and our own calibration for Mg II which matches the VP06 H{beta} masses on average. We describe the construction of this catalog and discuss its limitations. The catalog and its future updates will be made publicly available online.

Shen Yue [Harvard-Smithsonian Center for Astrophysics, 60 Garden St., MS-51, Cambridge, MA 02138 (United States); Richards, Gordon T. [Department of Physics, Drexel University, 3141 Chestnut Street, Philadelphia, PA 19104 (United States); Strauss, Michael A. [Princeton University Observatory, Princeton, NJ 08544 (United States); Hall, Patrick B. [Department of Physics and Astronomy, York University, 4700 Keele St., Toronto, ON, M3J 1P3 (Canada); Schneider, Donald P. [Department of Astronomy and Astrophysics, 525 Davey Laboratory, Pennsylvania State University, University Park, PA 16802 (United States); Snedden, Stephanie; Bizyaev, Dmitry; Brewington, Howard; Malanushenko, Viktor; Malanushenko, Elena; Oravetz, Dan; Pan, Kaike; Simmons, Audrey [Apache Point Observatory, Sunspot, NM, 88349 (United States)

2011-06-01T23:59:59.000Z

428

Discovery of New Ultracool White Dwarfs in the Sloan Digital Sky Survey  

E-Print Network (OSTI)

We report the discovery of five very cool white dwarfs in the Sloan Digital Sky Survey (SDSS). Four are ultracool, exhibiting strong collision induced absorption (CIA) from molecular hydrogen and are similar in color to the three previously known coolest white dwarfs, SDSS J1337+00, LHS 3250 and LHS 1402. The fifth, an ultracool white dwarf candidate, shows milder CIA flux suppression and has a color and spectral shape similar to WD 0346+246. All five new white dwarfs are faint (g > 18.9) and have significant proper motions. One of the new ultracool white dwarfs, SDSS J0947, appears to be in a binary system with a slightly warmer (T_{eff} ~ 5000K) white dwarf companion.

Evalyn Gates; Geza Gyuk; Hugh C. Harris; Mark Subbarao; Scott Anderson; S. J. Kleinman; James Liebert; Howard Brewington; J. Brinkmann; Michael Harvanek; Jurek Krzesinski; Don Q. Lamb; Dan Long; Eric H. Neilsen, Jr.; Peter R. Newman; Atsuko Nitta; Stephanie A. Snedden

2004-05-28T23:59:59.000Z

429

A Catalog of Spectroscopically Confirmed White Dwarfs from the Sloan Digital Sky Survey Data Release 4  

E-Print Network (OSTI)

We present a catalog of 9316 spectroscopically confirmed white dwarfs from the Sloan Digital Sky Survey Data Release 4. We have selected the stars through photometric cuts and spectroscopic modeling, backed up by a set of visual inspections. Roughly 6000 of the stars are new discoveries, roughly doubling the number of spectroscopically confirmed white dwarfs. We analyze the stars by performing temperature and surface gravity fits to grids of pure hydrogen and helium atmospheres. Among the rare outliers are a set of presumed helium-core DA white dwarfs with estimated masses below 0.3 Msun, including two candidates that may be the lowest masses yet found. We also present a list of 928 hot subdwarfs.

Eisenstein, D J; Harris, H C; Kleinmann, S J; Nitta, A; Silvestri, N M; Anderson, S A; Barentine, J C; Brewington, H J; Brinkmann, J; Harvanek, M; Krzesínski, J; Long, D; Schneider, D P; Snedden, S A; Neilsen, E H; Eisenstein, Daniel J.; Liebert, James; Harris, Hugh C.; Nitta, Atsuko; Silvestri, Nicole; Anderson, Scott A.; Brewington, Howard J.; Harvanek, Michael; Krzesinski, Jurek; Long, Dan; Schneider, Donald P.; Snedden, Stephanie A.

2006-01-01T23:59:59.000Z

430

A Catalog of Spectroscopically Confirmed White Dwarfs from the Sloan Digital Sky Survey Data Release 4  

E-Print Network (OSTI)

We present a catalog of 9316 spectroscopically confirmed white dwarfs from the Sloan Digital Sky Survey Data Release 4. We have selected the stars through photometric cuts and spectroscopic modeling, backed up by a set of visual inspections. Roughly 6000 of the stars are new discoveries, roughly doubling the number of spectroscopically confirmed white dwarfs. We analyze the stars by performing temperature and surface gravity fits to grids of pure hydrogen and helium atmospheres. Among the rare outliers are a set of presumed helium-core DA white dwarfs with estimated masses below 0.3 Msun, including two candidates that may be the lowest masses yet found. We also present a list of 928 hot subdwarfs.

Daniel J. Eisenstein; James Liebert; Hugh C. Harris; S. J. Kleinmann; Atsuko Nitta; Nicole Silvestri; Scott A. Anderson; J. C. Barentine; Howard J. Brewington; J. Brinkmann; Michael Harvanek; Jurek Krzesinski; Eric H. Neilsen Jr.; Dan Long; Donald P. Schneider; Stephanie A. Snedden

2006-06-28T23:59:59.000Z

431

Discovery of New Ultracool White Dwarfs in the Sloan Digital Sky Survey  

E-Print Network (OSTI)

We report the discovery of five very cool white dwarfs in the Sloan Digital Sky Survey (SDSS). Four are ultracool, exhibiting strong collision induced absorption (CIA) from molecular hydrogen and are similar in color to the three previously known coolest white dwarfs, SDSS J1337+00, LHS 3250 and LHS 1402. The fifth, an ultracool white dwarf candidate, shows milder CIA flux suppression and has a color and spectral shape similar to WD 0346+246. All five new white dwarfs are faint (g > 18.9) and have significant proper motions. One of the new ultracool white dwarfs, SDSS J0947, appears to be in a binary system with a slightly warmer (T_{eff} ~ 5000K) white dwarf companion.

Gates, E; Harris, H C; Subba-Rao, M; Anderson, S; Kleinman, S J; Liebert, J; Brewington, H; Brinkmann, J; Harvanek, M; Krzesínski, J; Lamb, D Q; Long, D; Neilsen, E H; Newman, P R; Nitta, A; Snedden, S A; Gates, Evalyn; Gyuk, Geza; Harris, Hugh C.; Subbarao, Mark; Anderson, Scott; Liebert, James; Brewington, Howard; Harvanek, Michael; Krzesinski, Jurek; Lamb, Don Q.; Long, Dan; Neilsen, Eric H.; Newman, Peter R.; Nitta, Atsuko; Snedden, Stephanie A.

2004-01-01T23:59:59.000Z

432

Search For Unresolved Sources In The COBE-DMR Two-Year Sky Maps  

E-Print Network (OSTI)

We have searched the temperature maps from the COBE Differential Microwave Radiometers (DMR) first two years of data for evidence of unresolved sources. The high-latitude sky (|b| > 30\\deg) contains no sources brighter than 192 uK thermodynamic temperature (322 Jy at 53 GHz). The cumulative count of sources brighter than threshold T, N(> T), is consistent with a superposition of instrument noise plus a scale-invariant spectrum of cosmic temperature fluctuations normalized to Qrms-PS = 17 uK. We examine the temperature maps toward nearby clusters and find no evidence for any Sunyaev-Zel'dovich effect, \\Delta y S) < 2 x 10^4 (S/1 Jy)^{-2} sr^{-1}.

A. Kogut; A. J. Banday; C. L. Bennett; G. Hinshaw; K. Loewenstein; P. Lubin; G. F. Smoot; E. L. Wright

1994-02-02T23:59:59.000Z

433

Correcting Calibrated Infrared Sky Imagery for the Effect of an Infrared Window  

Science Conference Proceedings (OSTI)

A method is demonstrated for deriving a correction for the effects of an infrared window when used to weatherproof a radiometrically calibrated thermal infrared imager. The technique relies on initial calibration of two identical imagers without ...

Paul W. Nugent; Joseph A. Shaw; Nathan J. Pust; Sabino Piazzolla

2009-11-01T23:59:59.000Z

434

OPTICALLY SELECTED BL LACERTAE CANDIDATES FROM THE SLOAN DIGITAL SKY SURVEY DATA RELEASE SEVEN  

Science Conference Proceedings (OSTI)

We present a sample of 723 optically selected BL Lac candidates from the Sloan Digital Sky Survey Data Release 7 (SDSS DR7) spectroscopic database encompassing 8250 deg{sup 2} of sky; our sample constitutes one of the largest uniform BL Lac samples yet derived. Each BL Lac candidate has a high-quality SDSS spectrum from which we determine spectroscopic redshifts for {approx}60% of the objects. Redshift lower limits are estimated for the remaining objects utilizing the lack of host galaxy flux contamination in their optical spectra; we find that objects lacking spectroscopic redshifts are likely at systematically higher redshifts. Approximately 80% of our BL Lac candidates match to a radio source in FIRST/NVSS, and {approx}40% match to a ROSAT X-ray source. The homogeneous multiwavelength coverage allows subdivision of the sample into 637 radio-loud BL Lac candidates and 86 weak-featured radio-quiet objects. The radio-loud objects broadly support the standard paradigm unifying BL Lac objects with beamed radio galaxies. We propose that the majority of the radio-quiet objects may be lower-redshift (z < 2.2) analogs to high-redshift weak line quasars (i.e., active galactic nucleus with unusually anemic broad emission line regions). These would constitute the largest sample of such objects, being of similar size and complementary in redshift to the samples of high-redshift weak line quasars previously discovered by the SDSS. However, some fraction of the weak-featured radio-quiet objects may instead populate a rare and extreme radio-weak tail of the much larger radio-loud BL Lac population. Serendipitous discoveries of unusual white dwarfs, high-redshift weak line quasars, and broad absorption line quasars with extreme continuum dropoffs blueward of rest-frame 2800 A are also briefly described.

Plotkin, Richard M.; Anderson, Scott F.; Kimball, Amy E. [Department of Astronomy, University of Washington, P.O. Box 351580, Seattle, WA 98195 (United States); Brandt, W. N.; Schneider, Donald P. [Department of Astronomy and Astrophysics, Pennsylvania State University, 525 Davey Laboratory, University Park, PA 16802 (United States); Diamond-Stanic, Aleksandar M.; Fan Xiaohui [Steward Observatory, University of Arizona, Tucson, AZ 85721 (United States); Hall, Patrick B. [Department of Physics and Astronomy, York University, 4700 Keele Street, Toronto, ON M3J 1P3 (Canada); Richmond, Michael W. [Physics Department, Rochester Institute of Technology, Rochester, NY 14623 (United States); Shemmer, Ohad [Department of Physics, University of North Texas, Denton, TX 76203 (United States); Voges, Wolfgang [Max-Planck-Institut fuer extraterrestrische Physik, Giessenbachstrasse, Postfach 1312, D-85741 Garching (Germany); York, Donald G. [University of Chicago and the Fermi Institute, 5640 South Ellis Avenue, Chicago, IL 60637 (United States); Bahcall, Neta A. [Princeton University Observatory, Peyton Hall, Ivy Lane, Princeton, NJ 08544 (United States); Snedden, Stephanie; Bizyaev, Dmitry; Brewington, Howard; Malanushenko, Viktor; Malanushenko, Elena; Oravetz, Dan; Pan, Kaike [Apache Point Observatory, Sunspot, NM 88349 (United States)], E-mail: plotkin@astro.washington.edu, E-mail: anderson@astro.washington.edu (and others)

2010-02-15T23:59:59.000Z

435

Monthly average clear-sky broadband irradiance database for worldwide solar heat gain and building cooling load calculations  

Science Conference Proceedings (OSTI)

This paper establishes the formulation of a new clear-sky solar radiation model appropriate for algorithms calculating cooling loads in buildings. The aim is to replace the ASHRAE clear-sky model of 1967, whose limitations are well known and are reviewed. The new model is derived in two steps. The first step consists of obtaining a reference irradiance dataset from the REST2 model, which uses a high-performance, validated, two-band clear-sky algorithm. REST2 requires detailed inputs about atmospheric conditions such as aerosols, water vapor, ozone, and ground albedo. The development of global atmospheric datasets used as inputs to REST2 is reviewed. For the most part, these datasets are derived from space observations to guarantee universality and accuracy. In the case of aerosols, point-source terrestrial measurements were also used as ground truthing of the satellite data. The second step of the model consists of fits derived from a REST2-based reference irradiance dataset. These fits enable the derivation of compact, but relatively accurate expressions, for beam and diffuse clear-sky irradiance. The fitted expressions require the tabulation of only two pseudo-optical depths for each month of the year. The resulting model, and its tabulated data, are expected to be incorporated in the 2009 edition of the ASHRAE Handbook of Fundamentals. (author)

Gueymard, Christian A. [Solar Consulting Services, P.O. Box 392, Colebrook, NH 03576 (United States); Thevenard, Didier [Numerical Logics Inc., 498 Edenvalley Cres., Waterloo, Ont. (Canada)

2009-11-15T23:59:59.000Z

436

Climatological Diurnal Cycles in Clear-Sky Brightness Temperatures from the High-Resolution Infrared Radiation Sounder (HIRS)  

Science Conference Proceedings (OSTI)

A climatology of the diurnal cycles of HIRS clear-sky brightness temperatures was developed based on measurements over the period 2002–07. This was done by fitting a Fourier series to monthly gridded brightness temperatures of HIRS channels 1–12. ...

Anders V. Lindfors; Ian A. Mackenzie; Simon F. B. Tett; Lei Shi

2011-10-01T23:59:59.000Z

437

Total Adjusted Sales of Kerosene  

U.S. Energy Information Administration (EIA) Indexed Site

End Use: Total Residential Commercial Industrial Farm All Other Period: End Use: Total Residential Commercial Industrial Farm All Other Period: Annual Download Series History Download Series History Definitions, Sources & Notes Definitions, Sources & Notes Show Data By: End Use Area 2007 2008 2009 2010 2011 2012 View History U.S. 492,702 218,736 269,010 305,508 187,656 81,102 1984-2012 East Coast (PADD 1) 353,765 159,323 198,762 237,397 142,189 63,075 1984-2012 New England (PADD 1A) 94,635 42,570 56,661 53,363 38,448 15,983 1984-2012 Connecticut 13,006 6,710 8,800 7,437 7,087 2,143 1984-2012 Maine 46,431 19,923 25,158 24,281 17,396 7,394 1984-2012 Massachusetts 7,913 3,510 5,332 6,300 2,866 1,291 1984-2012 New Hampshire 14,454 6,675 8,353 7,435 5,472 1,977 1984-2012

438

Solar total energy project Shenandoah  

DOE Green Energy (OSTI)

This document presents the description of the final design for the Solar Total Energy System (STES) to be installed at the Shenandoah, Georgia, site for utilization by the Bleyle knitwear plant. The system is a fully cascaded total energy system design featuring high temperature paraboloidal dish solar collectors with a 235 concentration ratio, a steam Rankine cycle power conversion system capable of supplying 100 to 400 kW(e) output with an intermediate process steam take-off point, and a back pressure condenser for heating and cooling. The design also includes an integrated control system employing the supervisory control concept to allow maximum experimental flexibility. The system design criteria and requirements are presented including the performance criteria and operating requirements, environmental conditions of operation; interface requirements with the Bleyle plant and the Georgia Power Company lines; maintenance, reliability, and testing requirements; health and safety requirements; and other applicable ordinances and codes. The major subsystems of the STES are described including the Solar Collection Subysystem (SCS), the Power Conversion Subsystem (PCS), the Thermal Utilization Subsystem (TUS), the Control and Instrumentation Subsystem (CAIS), and the Electrical Subsystem (ES). Each of these sections include design criteria and operational requirements specific to the subsystem, including interface requirements with the other subsystems, maintenance and reliability requirements, and testing and acceptance criteria. (WHK)

None

1980-01-10T23:59:59.000Z

439

Grantee Total Number of Homes  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Grantee Grantee Total Number of Homes Weatherized through November 2011 [Recovery Act] Total Number of Homes Weatherized through November 2011 (Calendar Year 2009 - November 2011) [Recovery Act + Annual Program Funding] Alabama 6,704 7,867 1 Alaska 443 2,363 American Samoa 304 410 Arizona 6,354 7,518 Arkansas 5,231 6,949 California 41,649 50,002 Colorado 12,782 19,210 Connecticut 8,940 10,009 2 Delaware** 54 54 District of Columbia 962 1,399 Florida 18,953 20,075 Georgia 13,449 14,739 Guam 574 589 Hawaii 604 1,083 Idaho** 4,470 6,614 Illinois 35,530 44,493 Indiana** 18,768 21,689 Iowa 8,794 10,202 Kansas 6,339 7,638 Kentucky 7,639 10,902 Louisiana 4,698 6,946 Maine 5,130 6,664 Maryland 8,108 9,015 Massachusetts 17,687 21,645 Michigan 29,293 37,137 Minnesota 18,224 22,711 Mississippi 5,937 6,888 Missouri 17,334 20,319 Montana 3,310 6,860 Navajo Nation

440

ARM TR-006  

NLE Websites -- All DOE Office Websites (Extended Search)

2001, ARM TR-006 1. Introduction The Total Sky Imager (TSI) is manufactured by Yankee Environmental Systems (YES) Incorporated, based in Turner Falls, Massachusetts. (For...

Note: This page contains sample records for the topic "total sky imager" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


441

Total Energy - Data - U.S. Energy Information Administration (EIA)  

Gasoline and Diesel Fuel Update (EIA)

Total Energy Flow, (Quadrillion Btu) Total Energy Flow, (Quadrillion Btu) Total Energy Flow diagram image Footnotes: 1 Includes lease condensate. 2 Natural gas plant liquids. 3 Conventional hydroelectric power, biomass, geothermal, solar/photovoltaic, and wind. 4 Crude oil and petroleum products. Includes imports into the Strategic Petroleum Reserve. 5 Natural gas, coal, coal coke, biofuels, and electricity. 6 Adjustments, losses, and unaccounted for. 7 Natural gas only; excludes supplemental gaseous fuels. 8 Petroleum products, including natural gas plant liquids, and crude oil burned as fuel. 9 Includes 0.01 quadrillion Btu of coal coke net exports. 10 Includes 0.13 quadrillion Btu of electricity net imports. 11 Total energy consumption, which is the sum of primary energy consumption, electricity retail sales, and electrical system energy losses.

442

NIST Image Gallery: Image Details  

Science Conference Proceedings (OSTI)

... 72 DPI Image 150 DPI Image No 300 DPI Version. Title: NIST Finds that Ethanol-Loving Bacteria Accelerate Cracking of Pipeline Steels. ...

443

Total Number of Operable Refineries  

U.S. Energy Information Administration (EIA) Indexed Site

Data Series: Total Number of Operable Refineries Number of Operating Refineries Number of Idle Refineries Atmospheric Crude Oil Distillation Operable Capacity (B/CD) Atmospheric Crude Oil Distillation Operating Capacity (B/CD) Atmospheric Crude Oil Distillation Idle Capacity (B/CD) Atmospheric Crude Oil Distillation Operable Capacity (B/SD) Atmospheric Crude Oil Distillation Operating Capacity (B/SD) Atmospheric Crude Oil Distillation Idle Capacity (B/SD) Vacuum Distillation Downstream Charge Capacity (B/SD) Thermal Cracking Downstream Charge Capacity (B/SD) Thermal Cracking Total Coking Downstream Charge Capacity (B/SD) Thermal Cracking Delayed Coking Downstream Charge Capacity (B/SD Thermal Cracking Fluid Coking Downstream Charge Capacity (B/SD) Thermal Cracking Visbreaking Downstream Charge Capacity (B/SD) Thermal Cracking Other/Gas Oil Charge Capacity (B/SD) Catalytic Cracking Fresh Feed Charge Capacity (B/SD) Catalytic Cracking Recycle Charge Capacity (B/SD) Catalytic Hydro-Cracking Charge Capacity (B/SD) Catalytic Hydro-Cracking Distillate Charge Capacity (B/SD) Catalytic Hydro-Cracking Gas Oil Charge Capacity (B/SD) Catalytic Hydro-Cracking Residual Charge Capacity (B/SD) Catalytic Reforming Charge Capacity (B/SD) Catalytic Reforming Low Pressure Charge Capacity (B/SD) Catalytic Reforming High Pressure Charge Capacity (B/SD) Catalytic Hydrotreating/Desulfurization Charge Capacity (B/SD) Catalytic Hydrotreating Naphtha/Reformer Feed Charge Cap (B/SD) Catalytic Hydrotreating Gasoline Charge Capacity (B/SD) Catalytic Hydrotreating Heavy Gas Oil Charge Capacity (B/SD) Catalytic Hydrotreating Distillate Charge Capacity (B/SD) Catalytic Hydrotreating Kerosene/Jet Fuel Charge Capacity (B/SD) Catalytic Hydrotreating Diesel Fuel Charge Capacity (B/SD) Catalytic Hydrotreating Other Distillate Charge Capacity (B/SD) Catalytic Hydrotreating Residual/Other Charge Capacity (B/SD) Catalytic Hydrotreating Residual Charge Capacity (B/SD) Catalytic Hydrotreating Other Oils Charge Capacity (B/SD) Fuels Solvent Deasphalting Charge Capacity (B/SD) Catalytic Reforming Downstream Charge Capacity (B/CD) Total Coking Downstream Charge Capacity (B/CD) Catalytic Cracking Fresh Feed Downstream Charge Capacity (B/CD) Catalytic Hydro-Cracking Downstream Charge Capacity (B/CD) Period:

444

Ultraviolet imaging of hydrogen flames  

DOE Green Energy (OSTI)

We have assembled an ultraviolet-sensitive intensified camera for observing hydrogen combustion by imaging the OH, A/sup 2/..sigma.. - X/sup 2//Pi/ bandhead emissions near 309 nm. The camera consists of a quartz and CaF achromat lense-coupled to an ultraviolet image intensifier which is in turn fiber-coupled to a focus projection scan (FPS) vidicon. The emission band is selected with interference filters which serve to discriminate against background. The camera provides optical gain of 100 to 1000 and is capable of being shuttered at nanosecond speeds and of being framed at over 600 frames per second. We present data from observations of test flames in air at standard RS-170 video rates with varying background conditions. Enhanced images using background subtraction are presented. Finally, we discuss the use of polarizaton effects to further discrimination against sky background. This work began as a feasibility study to investigate ultraviolet technology to detect hydrogen fires for the NASA space program. 6 refs., 7 figs, 2 tabs.

Yates, G.J.; Wilke, M.; King, N.

1988-01-01T23:59:59.000Z

445

Total quality management implementation guidelines  

SciTech Connect

These Guidelines were designed by the Energy Quality Council to help managers and supervisors in the Department of Energy Complex bring Total Quality Management to their organizations. Because the Department is composed of a rich mixture of diverse organizations, each with its own distinctive culture and quality history, these Guidelines are intended to be adapted by users to meet the particular needs of their organizations. For example, for organizations that are well along on their quality journeys and may already have achieved quality results, these Guidelines will provide a consistent methodology and terminology reference to foster their alignment with the overall Energy quality initiative. For organizations that are just beginning their quality journeys, these Guidelines will serve as a startup manual on quality principles applied in the Energy context.

Not Available

1993-12-01T23:59:59.000Z

446

NIST Image Gallery: Image Details  

Science Conference Proceedings (OSTI)

... Title: Scanning tunneling microscope; Semiconductor; Spintronics. Description: [Left] A high resolution STM image of a manganese ...

447

NIST Image Gallery: Image Details  

Science Conference Proceedings (OSTI)

... Title: Nanotechnology--Nanomanufacturing; Optical Nano Vision. Description: A new optical imaging technology under ...

448

SPIE Medical Imaging Medical Imaging  

E-Print Network (OSTI)

1 SPIE Medical Imaging 2006 1 Medical Imaging Fundamentals Kenneth H. Wong, Ph.D. Division of Computer Assisted Interventions and Medical Robotics (CAIMR) Imaging Science and Information Systems (ISIS) Center Department of Radiology Georgetown University SPIE Medical Imaging 2006 2 Main Themes · Describe

Miga, Michael I.

449

Map Data: Total Production | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Total Production Map Data: Total Production totalprod2009final.csv More Documents & Publications Map Data: Renewable Production Map Data: State Consumption...

450

Total Space Heating Water Heating Cook-  

Gasoline and Diesel Fuel Update (EIA)

Released: September, 2008 Total Space Heating Water Heating Cook- ing Other Total Space Heating Water Heating Cook- ing Other All Buildings* ... 222 194 17...

451

Total Space Heating Water Heating Cook-  

Gasoline and Diesel Fuel Update (EIA)

Released: September, 2008 Total Space Heating Water Heating Cook- ing Other Total Space Heating Water Heating Cook- ing Other All Buildings ... 2,100...

452

Total Space Heating Water Heating Cook-  

Gasoline and Diesel Fuel Update (EIA)

Released: September, 2008 Total Space Heating Water Heating Cook- ing Other Total Space Heating Water Heating Cook- ing Other All Buildings* ... 1,928 1,316...

453

Total Space Heating Water Heating Cook-  

Gasoline and Diesel Fuel Update (EIA)

Energy Consumption Survey: Energy End-Use Consumption Tables Total Space Heating Water Heating Cook- ing Other Total Space Heating Water Heating Cook- ing Other All...

454

Total Space Heating Water Heating Cook-  

Gasoline and Diesel Fuel Update (EIA)

Released: September, 2008 Total Space Heating Water Heating Cook- ing Other Total Space Heating Water Heating Cook- ing Other All Buildings* ... 1,870 1,276...

455

Total Space Heating Water Heating Cook-  

Gasoline and Diesel Fuel Update (EIA)

Released: September, 2008 Total Space Heating Water Heating Cook- ing Other Total Space Heating Water Heating Cook- ing Other All Buildings* ... 1,602 1,397...

456

Total Space Heating Water Heating Cook-  

Gasoline and Diesel Fuel Update (EIA)

Released: September, 2008 Total Space Heating Water Heating Cook- ing Other Total Space Heating Water Heating Cook- ing Other All Buildings ... 2,037...

457

Total Imports of Residual Fuel  

Gasoline and Diesel Fuel Update (EIA)

May-13 Jun-13 Jul-13 Aug-13 Sep-13 Oct-13 View May-13 Jun-13 Jul-13 Aug-13 Sep-13 Oct-13 View History U.S. Total 5,752 5,180 7,707 9,056 6,880 6,008 1936-2013 PAD District 1 1,677 1,689 2,008 3,074 2,135 2,814 1981-2013 Connecticut 1995-2009 Delaware 1995-2012 Florida 359 410 439 392 704 824 1995-2013 Georgia 324 354 434 364 298 391 1995-2013 Maine 65 1995-2013 Maryland 1995-2013 Massachusetts 1995-2012 New Hampshire 1995-2010 New Jersey 903 756 948 1,148 1,008 1,206 1995-2013 New York 21 15 14 771 8 180 1995-2013 North Carolina 1995-2011 Pennsylvania 1995-2013 Rhode Island 1995-2013 South Carolina 150 137 194 209 1995-2013 Vermont 5 4 4 5 4 4 1995-2013 Virginia 32 200 113 1995-2013 PAD District 2 217 183 235 207 247 179 1981-2013 Illinois 1995-2013

458

U.S. Total Exports  

Gasoline and Diesel Fuel Update (EIA)

Noyes, MN Warroad, MN Babb, MT Port of Del Bonita, MT Port of Morgan, MT Sweetgrass, MT Whitlash, MT Portal, ND Sherwood, ND Pittsburg, NH Champlain, NY Grand Island, NY Massena, NY Niagara Falls, NY Waddington, NY Sumas, WA Highgate Springs, VT U.S. Pipeline Total from Mexico Ogilby, CA Otay Mesa, CA Galvan Ranch, TX LNG Imports from Algeria LNG Imports from Australia LNG Imports from Brunei LNG Imports from Canada Highgate Springs, VT LNG Imports from Egypt Cameron, LA Elba Island, GA Freeport, TX Gulf LNG, MS LNG Imports from Equatorial Guinea LNG Imports from Indonesia LNG Imports from Malaysia LNG Imports from Nigeria Cove Point, MD LNG Imports from Norway Cove Point, MD Freeport, TX Sabine Pass, LA LNG Imports from Oman LNG Imports from Peru Cameron, LA Freeport, TX LNG Imports from Qatar Elba Island, GA Golden Pass, TX Sabine Pass, LA LNG Imports from Trinidad/Tobago Cameron, LA Cove Point, MD Elba Island, GA Everett, MA Freeport, TX Gulf LNG, MS Lake Charles, LA Sabine Pass, LA LNG Imports from United Arab Emirates LNG Imports from Yemen Everett, MA Freeport, TX Sabine Pass, LA LNG Imports from Other Countries Period: Monthly Annual

459

Natural Gas Total Liquids Extracted  

U.S. Energy Information Administration (EIA) Indexed Site

Thousand Barrels) Thousand Barrels) Data Series: Natural Gas Processed Total Liquids Extracted NGPL Production, Gaseous Equivalent Period: Annua