National Library of Energy BETA

Sample records for islander households ne

  1. Clouds, Aerosols and Precipitation in the Marine Boundary Layer (CAP-MBL) AMF Deployment Graciosa Island, Azores, NE Atlantic Ocean May 2009-December 2010

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    the Marine Boundary Layer (CAP-MBL) Graciosa Island, Azores, NE Atlantic Ocean May 2009-December 2010 Rob Wood, University of Washington CAP-MBL Proposal Team AMF Deployment Team Thanks to Mark Miller: AMF Site Scientist Kim Nitschke: AMF Site Manager Importance of Low-Clouds for Climate Imperative that we understand the processes controlling the formation, maintenance and dissipation of low clouds in order to improve their representation in climate models. Which clouds matter for climate

  2. ISLANDER

    Energy Science and Technology Software Center (OSTI)

    003251WKSTN00 Genomic Island Identification Software v 1.0 http://bioinformatics.sandia.gov/software

  3. 19Ne

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Ne β+-Decay Evaluated Data Measurements 1939WH02: 19Ne. 1952SC15: 19Ne. 1954JO21: 19Ne. 1954NA29: 19Ne. 1957AL29: 19Ne. 1957PE12: 19Ne. 1958WE25: 19Ne. 1960JA12: 19Ne; measured not abstracted; deduced nuclear properties. 1960WA04: 19Ne; measured not abstracted; deduced nuclear properties. 1962EA02: 19Ne; measured not abstracted; deduced nuclear properties. 1964VA23: 19Ne; measured not abstracted; deduced nuclear properties. 1968GO10: 19Ne; measured T1/2. 1972LE33: 19Ne; measured K/β+ ratios.

  4. 18Ne

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Ne β+-Decay Evaluated Data Measurements 1954GO17: 18Ne. 1961BU05: 18Ne; measured not abstracted; deduced nuclear properties. 1961EC02: 18Ne; measured not abstracted; deduced nuclear properties. 1963FR10: 18Ne; measured not abstracted; deduced nuclear properties. 1965FR09: 18Ne; measured not abstracted; deduced nuclear properties. 1968GO05: 18Ne; measured Eγ, Iγ; deduced Iβ, log ft. 18F deduced levels, branching ratios. 1970AL11: 18Ne; measured T1/2; deduced log ft, β-branching. 1970AS06,

  5. BooNE: About BooNE

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    BooNE Collaboration BooNE Experiment BooNE vs MiniBooNE Interesting Facts Posters Virtual Tour Picture Gallery News Articles BooNE photo montage Technical Information BooNE...

  6. 15Ne

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Ne Ground-State Decay Evaluated Data Measured Ground-State Γcm for 15Ne Adopted value: 0.59 MeV (2014WA09) Measured Mass Excess for 15Ne Adopted value: 40215 ± 69 keV (2014WA09) Measurements 2014WA09: C(17Ne, 2p)15Ne, E = 500 MeV/nucleon; measured reaction products; deduced fractional energy spectra, J, π, energy levels, atomic mass excess. 15Ne(2p); measured decay products, Ep, Ip; deduced implications for 13O + p + p system. Back to Top Back to Ground-State Decays

  7. 17Ne

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Ne β+-Decay Evaluated Data Measurements 1964MC16: 17Ne; measured not abstracted; deduced nuclear properties. 1966HA22: 17Ne; deduced log ft. 1967ES02: 17Ne; measured not abstracted; deduced nuclear properties. 1967FI10: 17Ne. 1971ESZR, 1971HA05: 17Ne; measured β-delayed proton spectra, Eγ, Iγ, T1/2, pγ-coin; deduced log ft. 17F deduced levels, antianalog state, isospin mixing. 1988BO39: 17Ne(β+p), (β+α); measured T1/2, β-delayed E(p), E(α), I(p), I(α), β(particle)-coin. 17Ne deduced

  8. 16Ne

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Ne Ground-State Decay Evaluated Data Measured Ground-State Γcm for 16Ne Adopted value: 122 ± 37 keV (1993TI07) Measured Mass Excess for 16Ne Adopted value: 23996 ± 20 keV (2003AU02) Measurements 1971MAXQ: 16O(π+, π-); measured particle spectra, σ. 1977HO13: 16O(π+, π-), E = 145 MeV; measured σ; deduced Q. 16Ne deduced mass excess. 1977KEZX: 20Ne(α, 8He), E = 118 MeV; measured σ. 16Ne deduced levels, mass excess. 1978BU09: 16O(π+, π-), E = 145 MeV; measured σ. 16Ne deduced mass

  9. homeoffice_household2001.pdf

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

    0a. Home Office Equipment by Midwest Census Region, Million U.S. Households, 2001 Home Office Equipment RSE Column Factor: Total U.S. Midwest Census Region RSE Row Factors Total Census Division East North Central West North Central 0.5 1.0 1.2 1.6 Total .............................................................. 107.0 24.5 17.1 7.4 NE Households Using Office Equipment ......................................... 96.2 22.4 15.7 6.7 1.3 Personal Computers 1 ................................. 60.0

  10. homeoffice_household2001.pdf

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

    1a. Home Office Equipment by South Census Region, Million U.S. Households, 2001 Home Office Equipment RSE Column Factor: Total U.S. South Census Region RSE Row Factors Total Census Division South Atlantic East South Central West South Central 0.5 0.8 1.2 1.3 1.6 Total .............................................................. 107.0 38.9 20.3 6.8 11.8 NE Households Using Office Equipment ......................................... 96.2 34.6 18.4 6.0 10.1 1.2 Personal Computers 1

  11. homeoffice_household2001.pdf

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

    2a. Home Office Equipment by West Census Region, Million U.S. Households, 2001 Home Office Equipment RSE Column Factor: Total U.S. West Census Region RSE Row Factors Total Census Division Mountain Pacific 0.5 1.0 1.6 1.2 Total .............................................................. 107.0 23.3 6.7 16.6 NE Households Using Office Equipment ......................................... 96.2 21.4 6.2 15.2 1.0 Personal Computers 1 ................................. 60.0 14.3 4.0 10.4 3.7 Number of

  12. homeoffice_household2001.pdf

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

    9a. Home Office Equipment by Northeast Census Region, Million U.S. Households, 2001 Home Office Equipment RSE Column Factor: Total U.S. Northeast Census Region RSE Row Factors Total Census Division Middle Atlantic New England 0.5 1.1 1.4 1.2 Total .............................................................. 107.0 20.3 14.8 5.4 NE Households Using Office Equipment ......................................... 96.2 17.9 12.8 5.0 1.3 Personal Computers 1 ................................. 60.0 10.9

  13. appl_household2001.pdf

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

    0a. Appliances by Midwest Census Region, Million U.S. Households, 2001 Appliance Types and Characteristics RSE Column Factor: Total U.S. Midwest Census Region RSE Row Factors Total Census Division East North Central West North Central 0.5 1.0 1.2 1.5 Total .............................................................. 107.0 24.5 17.1 7.4 NE Kitchen Appliances Cooking Appliances Oven ......................................................... 101.7 23.8 16.6 7.2 NE 1

  14. spaceheat_household2001.pdf

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

    0a. Space Heating by Midwest Census Region, Million U.S. Households, 2001 Space Heating Characteristics RSE Column Factor: Total U.S. Midwest Census Region RSE Row Factors Total Census Division East North Central West North Central 0.5 1.0 1.2 1.6 Total .............................................................. 107.0 24.5 17.1 7.4 NE Heat Home .................................................... 106.0 24.5 17.1 7.4 NE Do Not Heat Home ....................................... 1.0 Q Q Q 19.8 No

  15. spaceheat_household2001.pdf

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

    1a. Space Heating by South Census Region, Million U.S. Households, 2001 Space Heating Characteristics RSE Column Factor: Total U.S. South Census Region RSE Row Factors Total Census Division South Atlantic East South Central West South Central 0.5 0.9 1.2 1.4 1.3 Total .............................................................. 107.0 38.9 20.3 6.8 11.8 NE Heat Home .................................................... 106.0 38.8 20.2 6.8 11.8 NE Do Not Heat Home

  16. spaceheat_household2001.pdf

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

    2a. Space Heating by West Census Region, Million U.S. Households, 2001 Space Heating Characteristics RSE Column Factor: Total U.S. West Census Region RSE Row Factors Total Census Division Mountain Pacific 0.6 1.0 1.6 1.2 Total .............................................................. 107.0 23.3 6.7 16.6 NE Heat Home .................................................... 106.0 22.6 6.7 15.9 NE Do Not Heat Home ....................................... 1.0 0.7 Q 0.7 10.6 No Heating Equipment

  17. spaceheat_household2001.pdf

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

    9a. Space Heating by Northeast Census Region, Million U.S. Households, 2001 Space Heating Characteristics RSE Column Factor: Total U.S. Northeast Census Region RSE Row Factors Total Census Division Middle Atlantic New England 0.5 1.0 1.2 1.7 Total .............................................................. 107.0 20.3 14.8 5.4 NE Heat Home .................................................... 106.0 20.1 14.7 5.4 NE Do Not Heat Home ....................................... 1.0 Q Q Q 19.9 No

  18. appl_household2001.pdf

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

    2a. Appliances by West Census Region, Million U.S. Households, 2001 Appliance Types and Characteristics RSE Column Factor: Total U.S. West Census Region RSE Row Factors Total Census Division Mountain Pacific 0.5 1.0 1.7 1.2 Total .............................................................. 107.0 23.3 6.7 16.6 NE Kitchen Appliances Cooking Appliances Oven ......................................................... 101.7 22.1 6.6 15.5 1.1 1

  19. SciBooNE/MiniBooNE

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Ž. Pavlović Los Alamos National Laboratory Fermilab Users' Meeting, 2012 SciBooNE/MiniBooNE 2 Outline * Booster Neutrino Beamline * SciBooNE & MiniBooNE experiments * New results - MB Updated neutrino appearance analysis - MB Antineutrino appearance analysis - MB Joint Neutrino & Antineutrino appearance analysis - Joint SciBooNE/MiniBooNE numubar disappearance analysis * Future prospects 3 Booster Neutrino Beam * Horn focused beam/8GeV protons from Booster * Horn polarity → neutrino

  20. Household magnets

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Household magnets Chances are very good that you have experimented with magnets. People have been fascinated with magnetism for thousands of years. As familiar to us as they may be, magnets still have some surprises for us. Here is a small collection of some of our favorite magnet experiments. What happens when we break a magnet in half? Radio Shack sells cheap ceramic magnets in several shapes. Get a ring shaped magnet and break it with pliers or a tap with a hammer. Try to put it back

  1. NE-23:

    Office of Legacy Management (LM)

    1 , : -2 rn; NE-23: 4 Whitr%; Ms. Theresa Schaffer 3315 S. Emerald Avenue Chicago, Illinois 60616 Dear Ms. Schaffer: . -. r ;-, .4r.-,. , ' P?;c \ \ ; . EC.. ., . The Department of Energy (DOE), as part of its Formerly Utilized Sites Remedial Action Program (FUSRAP), has reviewed information on the former General Services Administratlon 39th Street Werehouse, Chicago, Illincis, to determine whether it contains residual radioactivity traceable to activities conducted on behalf of the Manhattan

  2. NE-20

    Office of Legacy Management (LM)

    hi v. !&-2:. /qL lo 1 OCT 2 9 1984 NE-20 -. Authorization for Remedial Action of the Ashland 2 Site, Tonawanda, New York f! Joe LaGrone, Manager Oak Ridge Operations Office Based on the Aerial Radiological Survey (Attachment 1) and a "walk-on" radiologlcal survey (Attachment 2 , excerpted from the ORNL draft report "Ground-Level Investigation of Anomalous Gamma Radiation Levels in the Tonawanda, New York, Area," January 1980), the property identified as Ashland 2 is

  3. appl_household2001.pdf

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

    1a. Appliances by South Census Region, Million U.S. Households, 2001 Appliance Types and Characteristics RSE Column Factor: Total U.S. South Census Region RSE Row Factors Total Census Division South Atlantic East South Central West South Central 0.5 0.8 1.1 1.4 1.5 Total .............................................................. 107.0 38.9 20.3 6.8 11.8 NE Kitchen Appliances Cooking Appliances Oven ......................................................... 101.7 36.2 19.4 6.4 10.3 1.5 1

  4. appl_household2001.pdf

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

    9a. Appliances by Northeast Census Region, Million U.S. Households, 2001 Appliance Types and Characteristics RSE Column Factor: Total U.S. Northeast Census Region RSE Row Factors Total Census Division Middle Atlantic New England 0.5 1.0 1.3 1.6 Total .............................................................. 107.0 20.3 14.8 5.4 NE Kitchen Appliances Cooking Appliances Oven ......................................................... 101.7 19.6 14.5 5.2 1.1 1

  5. homeoffice_household2001.pdf

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

    2001 Home Office Equipment RSE Column Factor: Total U.S. Four Most Populated States RSE Row Factors New York California Texas Florida 0.4 1.1 1.0 1.5 1.5 Total .............................................................. 107.0 7.1 12.3 7.7 6.3 NE Households Using Office Equipment ......................................... 96.2 6.2 11.4 6.7 5.9 1.7 Personal Computers 1 ................................. 60.0 3.4 7.9 4.1 3.8 4.4 Number of Desktop PCs 1

  6. MicroBooNE

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    MicroBooNE MicroBooNE Investigating the field of high energy physics through experiments that ... R. Dharmapalan et al. MiniBooNE Collaboration, arXiv:1211.2258 hep-ex (2012).

  7. BooNE Collaboration

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    research universities, predominantly undergraduate institutions, as well as a high school physics teacher. List of Collaborators The BooNE Collaboration The BooNE Collaboration...

  8. EIA - Household Transportation report: Household Vehicles Energy...

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

    logo printer-friendly version logo for Portable Document Format file Household Vehicles Energy Consumption 1994 August 1997 Release Next Update: EIA has discontinued this series....

  9. BooNE Experiment

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Experiment Goals of BooNE BooNE in a Nutshell Making Neutrinos Detecting Neutrinos schematic of BooNE experiment A sample event (3M animated PDF file) A cosmic ray event as displayed by the MiniBooNE detector.

  10. MicroBooNE

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    MicroBooNE MicroBooNE Investigating the field of high energy physics through experiments that strengthen our fundamental understanding of matter, energy, space, and time. Get Expertise Rajan Gupta (505) 667-7664 Email Bruce Carlsten (505) 667-5657 Email MicroBooNE schematic drawing Figure 1: A schematic drawing of the MicroBooNE liquid argon TPC detector. The main goals of the MicroBooNE experiment are: (1) to demonstrate the capabilities of a liquid argon TPC in the reconstruction of neutrino

  11. BooNE: Posters

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Posters What's a Neutrino? How neutrinos fit into our understanding of the universe. Recipe for a Neutrino Beam Start with some protons... concocting the MiniBooNE beam. The MiniBooNE Detector Tracking the traces of neutrino interactions. Of Neutrino Mass, and Oscillation What oscillates in neutrino oscillations, and why it matters

  12. appl_household2001.pdf

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

    Appliances Tables (Million U.S. Households; 60 pages, 240 kb) Contents Pages HC5-1a. Appliances by Climate Zone, Million U.S. Households, 2001 5 HC5-2a. Appliances by Year of Construction, Million U.S. Households, 2001 5 HC5-3a. Appliances by Household Income, Million U.S. Households, 2001 5 HC5-4a. Appliances by Type of Housing Unit, Million U.S. Households, 2001 5 HC5-5a. Appliances by Type of Owner-Occupied Housing Unit, Million U.S. Households, 2001 5 HC5-6a. Appliances by Type of Rented

  13. BooNE: Picture Gallery

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Picture Gallery BooNE Collaboration Members of the BooNE collaboration Civil Construction Pictorial progress of BooNE civil construction work Detector Installation Pictorial progress of MiniBooNE detector installation BooNE Scrapbook A selection from BooNE Audio Gallery Horn Concerto The Horn Concerto is a recording of the BooNE horn and the NuMI horn sounding at the same time. The rat-a-tat is BooNE; the syncopated boom is NuMI.

  14. 20Ne Cross Section

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    p, X) (Current as of 05/15/2012) NSR Reaction Ep (MeV) Cross Section File X4 Dataset Date Added 1981DY03 20Ne(p, p'γ): σ for production of γ-rays threshold - 23 1.63-MeV γ-rays X4 03/15/2011 20Ne(p, pαγ): σ for production of γ-rays threshold - 23 6.13-MeV γ-rays 1975RO08 20Ne(p, γ): S-factors 0.37 - 2.10 Direct Capture (DC) → 332-keV state, DC → 2425-keV state, tail of 2425-keV state X4 04/19/2011 20Ne(p, γ): differential σ at θγ = 90° DC → 332-keV state, 332-keV state →

  15. MiniBooNE

    SciTech Connect (OSTI)

    Mahn, Kendall Brianna Mcconnel; /Columbia U.

    2007-03-01

    MiniBooNE is a short baseline neutrino experiment designed to confirm or refute the LSND observed excess of electron anti neutrinos in a muon anti neutrino beam. The experimental setup, data samples, and oscillation fit method are discussed. Although the result was not public at the time of the talk, MiniBooNE has since published results, which are discussed briefly as well.

  16. 20Ne Cross Section

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    20Ne(α, X) (Current as of 02/08/2016) NSR Reaction Eα (MeV) Cross Section File X4 Dataset Date Added 1983SC17 20Ne(α, γ): deduced S-factor of capture σ 0.55 - 3.2 X4 09/15/2011 1997WI12 20Ne(α, γ): deduced primary transitions yield 1.64 - 2.65 X4 09/15/2011 1999KO34 20Ne(α, γ): γ-ray yield for the transition 1.9 - 2.8 g.s. 01/03/2012 1369 keV g.s. 10917 keV g.s., 1369 keV 11016 keV g.s. 1975KU06 20Ne(α, γ): σ 2.5 - 20 X4 09/15/2011 1968HI02 20Ne(α, γ): σ 3 - 6 X4 09/15/2011

  17. housingunit_household2001.pdf

    Annual Energy Outlook [U.S. Energy Information Administration (EIA)]

    ... RSE Column Factor: Total 2001 Household Income Below Poverty Line Eli- gible for Fed- eral ... RSE Column Factor: Total 2001 Household Income Below Poverty Line Eli- gible for Fed- eral ...

  18. appl_household2001.pdf

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

    RSE Column Factor: Total 2001 Household Income Below Poverty Line Eli- gible for Fed- eral ... RSE Column Factor: Total 2001 Household Income Below Poverty Line Eli- gible for Fed- eral ...

  19. ac_household2001.pdf

    Gasoline and Diesel Fuel Update (EIA)

    RSE Column Factor: Total 2001 Household Income Below Poverty Line Eli- gible for Fed- eral ... RSE Column Factor: Total 2001 Household Income Below Poverty Line Eli- gible for Fed- eral ...

  20. spaceheat_household2001.pdf

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

    RSE Column Factor: Total 2001 Household Income Below Poverty Line Eli- gible for Fed- eral ... RSE Column Factor: Total 2001 Household Income Below Poverty Line Eli- gible for Fed- eral ...

  1. BooNE: Interesting Facts

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Interesting Facts About the BooNE experiment: BooNE is the only experiment to search the entire range covered by the LSND oscillation signal. First proposed in 1997, BooNE will be ready to collect data in summer, 2002. The BooNE collaboration is small by high energy physics standards, having 65 physicists from 13 instiutions. If BooNE detects a supernova, it will send an automatic signal to telescopes around the world describing its position. BooNE collaboration - click to enlarge About the

  2. BooNE versus MiniBooNE

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    by the Los Alamos LSND experiment. MiniBooNE represents the first phase for the BooNE collaboration and consists of a 1 GeV neutrino beam and a single, 800-ton mineral oil...

  3. BooNE: Booster Neutrino Experiment

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Picture Gallery BooNE Collaboration Members of the BooNE collaboration Civil Construction Pictorial progress of BooNE civil construction work Detector Installation Pictorial...

  4. BooNE: Booster Neutrino Experiment

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Booster Neutrino Experiment (BooNE) Goals of BooNE BooNE in a Nutshell Making Neutrinos Detecting Neutrinos

  5. US NE MA Site Consumption

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    NE MA Site Consumption million Btu 0 500 1,000 1,500 2,000 2,500 3,000 US NE MA ... 8,000 10,000 12,000 US NE MA Site Consumption kilowatthours 0 250 500 750 1,000 ...

  6. BooNE: Booster Neutrino Experiment

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Booster Neutrino Experiment (BooNE) BooNE vs MiniBooNE Interesting Facts Posters Virtual Tour Picture Gallery News Articles Technical Information BooNE Proposal Original...

  7. The MicroBooNE Experiment - Collaboration

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    The DOE Tours MicroBooNE! - Nov. 27, 2012

  8. BooNE: Booster Neutrino Experiment

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Progress in Delivering Beam to MiniBooNE

  9. The MicroBooNE Experiment - Collaboration

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    MicroBooNE In the News MicroBooNE internal newletters (password protected) National Lab Science Day (public debut of virtual MicroBooNE), Fermilab News, 042916 MicroBooNE Project ...

  10. UPdate THE NE

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    UPdate THE NE January 2014 Edition U.S. Department of Energy's Nuclear Energy University Programs It's not every day graduate students get to meet one of nuclear energy's most important decision makers. Integrated University Program (IUP) Fellows had this opportunity at the 2013 Winter American Nuclear Society (ANS) Meeting this past November in Washington, D.C. Department of Energy Assistant Secretary for Nuclear Energy, Dr. Pete Lyons, greeted IUP Fellows in a special meeting to discuss

  11. NE-23 W

    Office of Legacy Management (LM)

    >:-1. ,- '"CC3 . ' NE-23 .+ W h itm~ l-l& Mr. Victor 3. Canilov, Director Museum of Science and Industry East 57th Street and Lake Shore Drive Chicago, Illinois 60037 Dear kr. Danilov: The Department of Energy (DOE), as part of its Formerly Utilized Sites Remedial Action Program (FUSPSIP), has reviewed information on the Museum cf Science and Industry, Chicago, Illinois, to determine whether it contains residual radioactivity traceable to activities conducted on behalf of the

  12. Household Vehicles Energy Consumption 1991

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

    or commercial trucks (See Table 1). Energy Information AdministrationHousehold Vehicles Energy Consumption 1991 5 The 1991 RTECS count includes vehicles that were owned or used...

  13. Household Vehicles Energy Consumption 1991

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

    logo printer-friendly version logo for Portable Document Format file Household Vehicles Energy Consumption 1991 December 1993 Release Next Update: August 1997. Based on the 1991...

  14. Household vehicles energy consumption 1994

    SciTech Connect (OSTI)

    1997-08-01

    Household Vehicles Energy Consumption 1994 reports on the results of the 1994 Residential Transportation Energy Consumption Survey (RTECS). The RTECS is a national sample survey that has been conducted every 3 years since 1985. For the 1994 survey, more than 3,000 households that own or use some 6,000 vehicles provided information to describe vehicle stock, vehicle-miles traveled, energy end-use consumption, and energy expenditures for personal vehicles. The survey results represent the characteristics of the 84.9 million households that used or had access to vehicles in 1994 nationwide. (An additional 12 million households neither owned or had access to vehicles during the survey year.) To be included in then RTECS survey, vehicles must be either owned or used by household members on a regular basis for personal transportation, or owned by a company rather than a household, but kept at home, regularly available for the use of household members. Most vehicles included in the RTECS are classified as {open_quotes}light-duty vehicles{close_quotes} (weighing less than 8,500 pounds). However, the RTECS also includes a very small number of {open_quotes}other{close_quotes} vehicles, such as motor homes and larger trucks that are available for personal use.

  15. Next Generation Household Refrigerator | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Next Generation Household Refrigerator Next Generation Household Refrigerator Embraco's high efficiency, oil-free linear compressor.
    Credit: Whirlpool Embraco's high ...

  16. Household Vehicles Energy Use Cover Page

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

    Energy Use Cover Page Glossary Home > Households, Buildings & Industry >Transportation Surveys > Household Vehicles Energy Use Cover Page Contact Us * Feedback * PrivacySecurity *...

  17. Strategies for Collecting Household Energy Data | Department...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Collecting Household Energy Data Strategies for Collecting Household Energy Data Better Buildings Neighborhood Program Data and Evaluation Peer Exchange Call: Strategies for ...

  18. ac_household2001.pdf

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

    0a. Air Conditioning by Midwest Census Region, Million U.S. Households, 2001 Air Conditioning Characteristics RSE Column Factor: Total U.S. Midwest Census Region RSE Row Factors Total Census Division East North Central West North Central 0.5 1.0 1.2 1.4 Households With Electric Air-Conditioning Equipment ...................... 82.9 20.5 13.6 6.8 2.2 Air Conditioners Not Used ........................... 2.1 0.3 Q Q 27.5 Households Using Electric Air-Conditioning 1

  19. ac_household2001.pdf

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

    1a. Air Conditioning by South Census Region, Million U.S. Households, 2001 Air Conditioning Characteristics RSE Column Factor: Total U.S. South Census Region RSE Row Factors Total Census Division South Atlantic East South Central West South Central 0.5 0.8 1.2 1.3 1.4 Households With Electric Air-Conditioning Equipment ...................... 82.9 37.2 19.3 6.4 11.5 1.5 Air Conditioners Not Used ........................... 2.1 0.4 Q Q Q 28.2 Households Using Electric Air-Conditioning 1

  20. ac_household2001.pdf

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

    2a. Air Conditioning by West Census Region, Million U.S. Households, 2001 Air Conditioning Characteristics RSE Column Factor: Total U.S. West Census Region RSE Row Factors Total Census Division Mountain Pacific 0.4 1.2 1.7 1.4 Households With Electric Air-Conditioning Equipment ...................... 82.9 10.7 3.4 7.2 7.1 Air Conditioners Not Used ........................... 2.1 1.1 0.2 0.9 15.5 Households Using Electric Air-Conditioning 1 ........................................ 80.8 9.6 3.2

  1. ac_household2001.pdf

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

    4a. Air Conditioning by Type of Housing Unit, Million U.S. Households, 2001 Air Conditioning Characteristics RSE Column Factor: Total Type of Housing Unit RSE Row Factors Single-Family Apartments in Buildings With Mobile Home Two to Four Units Five or More Units 0.4 0.6 1.5 1.4 1.8 Households With Electric Air-Conditioning Equipment ........ 82.9 58.7 6.5 12.4 5.3 4.9 Air Conditioners Not Used ............ 2.1 1.1 Q 0.6 Q 21.8 Households Using Electric Air-Conditioning 1

  2. ac_household2001.pdf

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

    8a. Air Conditioning by Urban/Rural Location, Million U.S. Households, 2001 Air Conditioning Characteristics RSE Column Factor: Total Urban/Rural Location 1 RSE Row Factors City Town Suburbs Rural 0.5 0.8 1.4 1.3 1.4 Households With Electric Air-Conditioning Equipment ...................... 82.9 36.8 13.6 18.9 13.6 4.3 Air Conditioners Not Used ........................... 2.1 1.2 0.2 0.4 0.3 21.4 Households Using Electric Air-Conditioning 2 ........................................ 80.8 35.6 13.4

  3. ac_household2001.pdf

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

    9a. Air Conditioning by Northeast Census Region, Million U.S. Households, 2001 Air Conditioning Characteristics RSE Column Factor: Total U.S. Northeast Census Region RSE Row Factors Total Census Division Middle Atlantic New England 0.5 1.0 1.2 1.8 Households With Electric Air-Conditioning Equipment ...................... 82.9 14.5 11.3 3.2 3.3 Air Conditioners Not Used ........................... 2.1 0.3 0.3 Q 28.3 Households Using Electric Air-Conditioning 1

  4. Household Vehicles Energy Consumption 1991

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

    16.8 17.4 18.6 18.9 1.7 2.2 0.6 1.5 Energy Information AdministrationHousehold Vehicles Energy Consumption 1991 15 Vehicle Miles Traveled per Vehicle (Thousand) . . . . . . . . ....

  5. homeoffice_household2001.pdf

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    ... RSE Column Factor: Total 2001 Household Income Below Poverty Line Eli- gible for Fed- eral ... 29.1 5.3 22.7 3.8 1 Below 150 percent of poverty line or 60 percent of median State ...

  6. char_household2001.pdf

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

    RSE Column Factor: Total 2001 Household Income Below Poverty Line Eli- gible for Fed- eral ... Income Relative to Poverty Line Below 100 Percent ...... 15.0 13.2 1.8 Q ...

  7. char_household2001.pdf

    Annual Energy Outlook [U.S. Energy Information Administration (EIA)]

    Contact: Stephanie J. Battles, Survey Manager (stephanie.battles@eia.doe.gov) World Wide Web: http:www.eia.doe.govemeuconsumption Table HC2-1a. Household Characteristics by ...

  8. MiniBooNE E. D. Zimmerman

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    SciBooNE Detector TargetHorn SciBooNE constraint reduces error at MiniBooNE * Flux errors become 1-2% level: negligible for this analysis * Cross-section errors reduced, but...

  9. Cover Page of Household Vehicles Energy Use: Latest Data & Trends

    Gasoline and Diesel Fuel Update (EIA)

    Household Vehicles Energy Use Cover Page Cover Page of Household Vehicles Energy Use: Latest Data & Trends...

  10. MiniBooNE E. D. Zimmerman

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    from MiniBooNE * MiniBooNE * Neutrino cross-sections * Quasielastic and elastic scattering * Hadron production channels * Neutrino Oscillations * Antineutrino Oscillations...

  11. BooNE: Booster Neutrino Experiment

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    MiniBooNE-darkmatter collaboration Original MiniBooNE collaboration From script reading a simple data base, last updated 2008. from inspirehep.net Booster Neutrino...

  12. The MicroBooNE Experiment - Collaboration

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Updated collaboration list for presentations: powerpoint pdf map collaboration photo MicroBooNE organizational chart MicroBooNE contact list (password required) (IB) ...

  13. ac_household2001.pdf

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

    2a. Air Conditioning by Year of Construction, Million U.S. Households, 2001 Air Conditioning Characteristics RSE Column Factor: Total Year of Construction RSE Row Factors 1990 to 2001 1 1980 to 1989 1970 to 1979 1960 to 1969 1950 to 1959 1949 or Before 0.4 1.6 1.2 1.1 1.2 1.1 0.9 Households With Electric Air-Conditioning Equipment ........ 82.9 13.6 16.0 14.7 10.4 10.5 17.6 4.7 Air Conditioners Not Used ............ 2.1 Q 0.3 0.5 0.3 0.4 0.5 27.2 Households Using Electric Air-Conditioning 2

  14. ac_household2001.pdf

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

    5a. Air Conditioning by Type of Owner-Occupied Housing Unit, Million U.S. Households, 2001 Air Conditioning Characteristics RSE Column Factor: Total Owner- Occupied Units Type of Owner-Occupied Housing Unit RSE Row Factors Single-Family Apartments in Buildings With Mobile Home Two to Four Units Five or More Units 0.5 0.5 1.5 1.4 1.8 Households With Electric Air-Conditioning Equipment ........ 59.5 58.7 6.5 12.4 5.3 5.2 Air Conditioners Not Used ............ 1.2 1.1 Q 0.6 Q 23.3 Households Using

  15. ac_household2001.pdf

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

    6a. Air Conditioning by Type of Rented Housing Unit, Million U.S. Households, 2001 Air Conditioning Characteristics RSE Column Factor: Total Rented Units Type of Rented Housing Unit RSE Row Factors Single-Family Apartments in Buildings With Mobile Home Two to Four Units Five or More Units 0.8 0.5 1.4 1.2 1.6 Households With Electric Air-Conditioning Equipment ........ 23.4 58.7 6.5 12.4 5.3 6.1 Air Conditioners Not Used ............ 0.9 1.1 Q 0.6 Q 23.0 Households Using Electric Air-Conditioning

  16. A=14Ne (1981AJ01)

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    1AJ01) (Not illustrated) 14Ne has not been observed. See (1976BE1V

  17. spaceheat_household2001.pdf

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

    2001 Space Heating Characteristics RSE Column Factor: Total U.S. Four Most Populated States RSE Row Factors New York California Texas Florida 0.5 1.1 1.0 1.2 1.6 Total .............................................................. 107.0 7.1 12.3 7.7 6.3 NE Heat Home .................................................... 106.0 7.1 12.0 7.7 6.2 NE Do Not Heat Home ....................................... 1.0 Q 0.3 Q 0.1 20.7 No Heating Equipment ................................ 0.5 Q 0.1 Q Q 41.3

  18. homeoffice_household2001.pdf

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

    RSE Column Factor: Total 2001 Household Income Below Poverty Line Eli- gible for Fed- eral ... 29.1 5.3 22.7 3.8 1 Below 150 percent of poverty line or 60 percent of median State income

  19. Fact #748: October 8, 2012 Components of Household Expenditures...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Household Expenditures on Transportation, 1984-2010 Fact 748: October 8, 2012 Components of Household Expenditures on Transportation, 1984-2010 The overall share of annual household ...

  20. BooNE: Booster Neutrino Experiment

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Interesting Facts About the Booster Neutrino Experiment (BooNE): BooNE is the only experiment to search the entire range covered by the LSND oscillation signal. First proposed in 1997, BooNE has been collecting data since August 2002. The BooNE collaboration is small by high energy physics standards, comprising 75 physicists from 16 instiutions. If BooNE detects a supernova, it will send an automatic signal to telescopes around the world describing its position. BooNE collaboration - click to

  1. ac_household2001.pdf

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

    2001 Air Conditioning Characteristics RSE Column Factor: Total U.S. Four Most Populated States RSE Row Factors New York California Texas Florida 0.4 1.1 1.7 1.2 1.2 Households With Electric Air-Conditioning Equipment ...................... 82.9 4.9 6.0 7.4 6.2 2.4 Air Conditioners Not Used ........................... 2.1 0.1 0.8 Q 0.1 23.2 Households Using Electric Air-Conditioning 1 ........................................ 80.8 4.7 5.2 7.4 6.1 2.6 Type of Electric Air-Conditioning Used Central

  2. homeoffice_household2001.pdf

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

    2a. Home Office Equipment by Year of Construction, Million U.S. Households, 2001 Home Office Equipment RSE Column Factor: Total Year of Construction RSE Row Factors 1990 to 2001 1 1980 to 1989 1970 to 1979 1960 to 1969 1950 to 1959 1949 or Before 0.4 1.4 1.1 1.1 1.2 1.2 1.0 Total ............................................... 107.0 15.5 18.2 18.8 13.8 14.2 26.6 4.2 Households Using Office Equipment .......................... 96.2 14.9 16.7 17.0 12.2 13.0 22.4 4.4 Personal Computers 2

  3. US Virgin Islands-Energy Development in Island Nations (EDIN...

    Open Energy Info (EERE)

    US Virgin Islands-Energy Development in Island Nations (EDIN) Pilot Project Jump to: navigation, search Logo: US Virgin Islands-Energy Development in Island Nations (EDIN) Pilot...

  4. ICARUS/MicroBooNE

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    ) ICARUS/MicroBooNE ν ( Φ 0.0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 µ ν µ ν e ν e ν

  5. BooNE: Booster Neutrino Experiment

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Data Releases This page provides MiniBooNE data (histograms, error matrices, ntuples, etc) released in association with particular publications. Only the subset of MiniBooNE papers...

  6. BooNE: Booster Neutrino Experiment

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    (505) 695 8364 BooNE Experiment: contact-boone@fnal.gov Current Shifter: (505) 500 5511 Detector Enclosure: (630) 840 6881 or 6081 BooNE Collaborators and Associates:...

  7. BooNE: Booster Neutrino Experiment

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Goals of BooNE BooNE's primary goal is to investigate the neutrino oscillation signal reported by the Los Alamos Liquid Scintillator Neutrino Detector (LSND) experiment. In 1995,...

  8. BooNE: Booster Neutrino Experiment

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Sept. 3, 1999 - The MiniBooNE Detector: The Teletubby Design 1998: Oct. 30, 1998 - Good Physics in a Small Package June 5, 1998 - MiniBooNE Faces the PAC May 1, 1998 - The...

  9. About the MicroBooNE Experiment

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    MicroBooNE The MicroBooNE collaboration is currently operating a large 170-ton liquid Argon Time Projection Chamber (LArTPC) that is located on the Booster neutrino beam line at...

  10. MiniBooNE Nuebar Data Release

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Event Excess in the MiniBooNE Search for bar numu rightarrow bar nue Oscillations", arXiv:1007.1150 hep-ex,Phys.Rev.Lett.105,181801 (2010) The following MiniBooNE...

  11. BooNE: Booster Neutrino Experiment

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    by the Los Alamos LSND experiment. MiniBooNE represents the first phase for the BooNE collaboration and consists of a 1 GeV neutrino beam and a single, 800-ton mineral oil...

  12. A=14Ne (1986AJ01)

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    6AJ01) (Not illustrated) 14Ne, 14Na and 14Mg have not been observed. See (1983ANZQ

  13. A=14Ne (1991AJ01)

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    91AJ01) (Not illustrated) 14Ne, 14Na and 14Mg have not been observed. See (1986AN07

  14. The MicroBooNE Experiment - Collaboration

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    MicroBooNE Collaboration Photos Click on image to view larger version April 2016 October 2014

  15. A=18Ne (1959AJ76)

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    59AJ76) (Not illustrated) Theory: See (RA57). 1. 18Ne(β+)18F Qm = 4.227 The maximum energy of the positrons is 3.2 ± 0.2 MeV, the half-life is 1.6 ± 0.2 sec: log ft = 2.9 ± 0.2 (GO54D). See also (DZ56). 2. 16O(3He, n)18Ne Qm = -2.966 See (KU53A). 3. 19F(p, 2n)18Ne Qm = -15.424 See (GO54D). 4. 20Ne(p, t)18Ne Qm = -19.812 Not reported

  16. appl_household2001.pdf

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

    4a. Appliances by Type of Housing Unit, Million U.S. Households, 2001 Appliance Types and Characteristics RSE Column Factor: Total Type of Housing Unit RSE Row Factors Single-Family Apartments in Buildings With Mobile Home Two to Four Units Five or More Units 0.4 0.5 1.7 1.6 1.9 Total ............................................... 107.0 73.7 9.5 17.0 6.8 4.2 Kitchen Appliances Cooking Appliances Oven ........................................... 101.7 69.1 9.4 16.7 6.6 4.3 1

  17. appl_household2001.pdf

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

    5a. Appliances by Type of Owner-Occupied Housing Unit, Million U.S. Households, 2001 Appliance Types and Characteristics RSE Column Factor: Total Owner- Occupied Units Type of Owner-Occupied Housing Unit RSE Row Factors Single-Family Apartments in Buildings With Mobile Home Two to Four Units Five or More Units 0.3 0.4 2.1 3.1 1.3 Total ............................................... 72.7 63.2 2.1 1.8 5.7 6.7 Kitchen Appliances Cooking Appliances Oven ...........................................

  18. appl_household2001.pdf

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

    6a. Appliances by Type of Rented Housing Unit, Million U.S. Households, 2001 Appliance Types and Characteristics RSE Column Factor: Total Rented Units Type of Rented Housing Unit RSE Row Factors Single-Family Apartments in Buildings With Mobile Home Two to Four Units Five or More Units 0.5 0.8 1.1 0.9 2.5 Total ............................................... 34.3 10.5 7.4 15.2 1.1 6.9 Kitchen Appliances Cooking Appliances Oven ........................................... 33.4 10.1 7.3 14.9 1.1

  19. appl_household2001.pdf

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

    8a. Appliances by Urban/Rural Location, Million U.S. Households, 2001 Appliance Types and Characteristics RSE Column Factor: Total Urban/Rural Location 1 RSE Row Factors City Town Suburbs Rural 0.5 0.9 1.4 1.2 1.3 Total .............................................................. 107.0 49.9 18.0 21.2 17.9 4.1 Kitchen Appliances Cooking Appliances Oven ......................................................... 101.7 47.5 17.5 19.9 16.8 4.2 1

  20. spaceheat_household2001.pdf

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

    5a. Space Heating by Type of Owner-Occupied Housing Unit, Million U.S. Households, 2001 Space Heating Characteristics RSE Column Factor: Total Owner- Occupied Units Type of Owner-Occupied Housing Unit RSE Row Factors Single-Family Apartments in Buildings With Mobile Home Two to Four Units Five or More Units 0.4 0.4 1.9 3.0 1.3 Total ............................................... 72.7 63.2 2.1 1.8 5.7 6.7 Heat Home ..................................... 72.4 63.0 2.0 1.7 5.7 6.7 Do Not Heat Home

  1. spaceheat_household2001.pdf

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

    6a. Space Heating by Type of Rented Housing Unit, Million U.S. Households, 2001 Space Heating Characteristics RSE Column Factor: Total Rented Units Type of Rented Housing Unit RSE Row Factors Single-Family Apartments in Buildings With Mobile Home Two to Four Units Five or More Units 0.5 0.8 1.1 0.9 2.5 Total ............................................... 34.3 10.5 7.4 15.2 1.1 6.9 Heat Home ..................................... 33.7 10.4 7.4 14.8 1.1 6.9 Do Not Heat Home

  2. spaceheat_household2001.pdf

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

    8a. Space Heating by Urban/Rural Location, Million U.S. Households, 2001 Space Heating Characteristics RSE Column Factor: Total Urban/Rural Location 1 RSE Row Factors City Town Suburbs Rural 0.6 0.9 1.3 1.3 1.2 Total .............................................................. 107.0 49.9 18.0 21.2 17.9 4.3 Heat Home .................................................... 106.0 49.1 18.0 21.2 17.8 4.3 Do Not Heat Home ....................................... 1.0 0.7 0.1 0.1 0.1 25.8 No Heating

  3. appl_household2001.pdf

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

    2001 Appliance Types and Characteristics RSE Column Factor: Total U.S. Four Most Populated States RSE Row Factors New York California Texas Florida 0.4 1.2 1.1 1.4 1.3 Total .............................................................. 107.0 7.1 12.3 7.7 6.3 NE Kitchen Appliances Cooking Appliances Oven ......................................................... 101.7 6.9 11.4 6.7 6.1 1.6 1 .............................................................. 95.2 6.2 10.7 6.3 6.0 2.1 2 or More

  4. A=17Ne (1977AJ02)

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    7AJ02) (See the Isobar Diagram for 17Ne) GENERAL: See also (1971AJ02) and Table 17.20 [Table of Energy Levels] (in PDF or PS). Theory and reviews: (1971HA1Y, 1973HA77, 1973RE17, 1975BE31). Mass of 17Ne: The mass excess of 17Ne, determined from a measurement of the Q-value of 20Ne(3He, 6He)17Ne is 16.48 ± 0.05 MeV (1970ME11, 1972CE1A). Then 17Ne - 17F = 14.53 MeV and Eb for p, 3He and α are, respectively, 1.50, 6.46 and 9.05 MeV. See also (1971AJ02). 1. (a) 17Ne(β+)17F* → 16O + p Qm = 13.93

  5. Household energy consumption and expenditures, 1990

    SciTech Connect (OSTI)

    Not Available

    1993-03-02

    This report, Household Energy Consumption and Expenditures 1990, is based upon data from the 1990 Residential Energy Consumption Survey (RECS). Focusing on energy end-use consumption and expenditures of households, the 1990 RECS is the eighth in a series conducted since 1978 by the Energy Information Administration (EIA). Over 5,000 households were surveyed, providing information on their housing units, housing characteristics, energy consumption and expenditures, stock of energy-consuming appliances, and energy-related behavior. The information provided represents the characteristics and energy consumption of 94 million households nationwide.

  6. Ne

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    m er of 2002, the cross sections for an 8 GeV proton beam on Be were m easured by the HARP ex perim ent at CERN. Harp Setup Intro ductio n Im po rtant s te ps s ince las t re v...

  7. MicroBooNE MicroBooNE Andrzej Szelc Yale University

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    MicroBooNE MicroBooNE Andrzej Szelc Yale University 2 Outline ● The LArTPC. ● Physics with MicroBooNE. ● The MicroBooNE detector. 3 LArTPC Operation ● Charged particles in argon create electron-ion pairs and scintillation light. ● Electrons are drifted towards the anode wires. ● Multiple anode planes together with drift time allow 3D reconstruction. ● Collected charge allows calorimetric reconstruction. time 4 US LAr R&D Program 5 MicroBooNE Physics Goals 6 MiniBooNE

  8. appl_household2001.pdf

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

    a. Appliances by Climate Zone, Million U.S. Households, 2001 Appliance Types and Characteristics RSE Column Factor: Total Climate Zone 1 RSE Row Factors Fewer than 2,000 CDD and -- 2,000 CDD or More and Fewer than 4,000 HDD More than 7,000 HDD 5,500 to 7,000 HDD 4,000 to 5,499 HDD Fewer than 4,000 HDD 0.4 1.9 1.1 1.1 1.2 1.1 Total .................................................. 107.0 9.2 28.6 24.0 21.0 24.1 7.8 Kitchen Appliances Cooking Appliances Oven

  9. appl_household2001.pdf

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

    2a. Appliances by Year of Construction, Million U.S. Households, 2001 Appliance Types and Characteristics RSE Column Factor: Total Year of Construction RSE Row Factors 1990 to 2001 1 1980 to 1989 1970 to 1979 1960 to 1969 1950 to 1959 1949 or Before 0.4 1.5 1.2 1.1 1.2 1.1 0.9 Total ............................................... 107.0 15.5 18.2 18.8 13.8 14.2 26.6 4.2 Kitchen Appliances Cooking Appliances Oven ........................................... 101.7 14.3 17.2 17.8 12.9 13.7 25.9 4.2 1

  10. spaceheat_household2001.pdf

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

    2a. Space Heating by Year of Construction, Million U.S. Households, 2001 Space Heating Characteristics RSE Column Factor: Total Year of Construction RSE Row Factors 1990 to 2001 1 1980 to 1989 1970 to 1979 1960 to 1969 1950 to 1959 1949 or Before 0.5 1.5 1.1 1.1 1.1 1.1 0.9 Total ............................................... 107.0 15.5 18.2 18.8 13.8 14.2 26.6 4.3 Heat Home ..................................... 106.0 15.4 18.2 18.6 13.6 13.9 26.4 4.3 Do Not Heat Home ........................

  11. spaceheat_household2001.pdf

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

    4a. Space Heating by Type of Housing Unit, Million U.S. Households, 2001 Space Heating Characteristics RSE Column Factor: Total Type of Housing Unit RSE Row Factors Single-Family Apartments in Buildings With Mobile Home Two to Four Units Five or More Units 0.5 0.5 1.5 1.4 1.7 Total ............................................... 107.0 73.7 9.5 17.0 6.8 4.4 Heat Home ..................................... 106.0 73.4 9.4 16.4 6.8 4.5 Do Not Heat Home ........................ 1.0 0.3 Q 0.6 Q 19.0 No

  12. MiniBooNE Pion Group

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Contents: Pion Group Home Pion Group Members Pion References Colin's Cross Section Page MiniBooNE Internal Email M. Tzanov....

  13. BooNE: Booster Neutrino Experiment

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Data Releases This page provides MiniBooNE data (histograms, error matrices, ntuples, etc) released in association with particular publications. Only the subset of MiniBooNE papers with released data are listed here. Refer to the Publications page for a complete list of MiniBooNE publications. Other MiniBooNE Data Releases: Data Released with A.A. Aguilar-Arevalo et al., "First Measurement of the Muon Antineutrino Double-Differential Charged-Current Quasielastic Cross section",

  14. A=19Ne (1978AJ03)

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    8AJ03) (See Energy Level Diagrams for 19Ne) GENERAL: See (1972AJ02) and Table 19.24 [Table of Energy Levels] (in PDF or PS). Nuclear models: (1972EN03, 1972NE1B, 1972WE01, 1973DE13, 1977BU05). Electromagnetic transitions: (1972EN03, 1972LE06, 1973HA53, 1973PE09, 1977BU05). Special states: (1972EN03, 1972GA14, 1972HI17, 1972NE1B, 1972WE01, 1977BU05, 1977SC08). Complex reactions involving 19Ne: (1976HI05, 1977BU05). Astrophsyical questions: (1973CL1E). Muon capture: (1972MI11). Pion capture and

  15. BooNE: Booster Neutrino Experiment

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Scrapbook Page 2 The BooNE collaboration in winter. A tour of the construction site. Working with the BooNE Horn. BooNE in the winter A tour of the construction site. A day with the Horn Janet, Bonnie, and Jen in the Tank. Janet and Bill: the early years. Bill, Richard, Jeff, and Shawn in the midst of discussion. Preparing the tubes Janet and Bill: the early days Discussion in progress The oil tanker arrives. The final stages of oil filling. The BooNE Collaboration in the summer. The oil tanker

  16. San Miguel Island, Channel Islands National Park, California | Department

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    of Energy Miguel Island, Channel Islands National Park, California San Miguel Island, Channel Islands National Park, California Photo of Wind/Photovoltaic Power System at San Miguel Island San Miguel Island is one of five islands that make up Channel Islands National Park on the coast of southern California. The islands comprise 249,353 acres (100,910 hectares) of land and ocean that teems with terrestrial and marine life. The National Park Service (NPS) protects the pristine resources at

  17. Fact #565: April 6, 2009 Household Gasoline Expenditures by Income |

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Department of Energy 5: April 6, 2009 Household Gasoline Expenditures by Income Fact #565: April 6, 2009 Household Gasoline Expenditures by Income In the annual Consumer Expenditure Survey, household incomes are grouped into five equal parts called quintiles (each quintile is 20%). Households in the second and third quintiles consistently have a higher share of spending on gasoline each year than households in the other quintiles. Household Gasoline Expenditures by Income Quintile Bar graph

  18. ASSESSMENT OF HOUSEHOLD CARBON FOOTPRINT REDUCTION POTENTIALS

    SciTech Connect (OSTI)

    Kramer, Klaas Jan; Homan, Greg; Brown, Rich; Worrell, Ernst; Masanet, Eric

    2009-04-15

    The term ?household carbon footprint? refers to the total annual carbon emissions associated with household consumption of energy, goods, and services. In this project, Lawrence Berkeley National Laboratory developed a carbon footprint modeling framework that characterizes the key underlying technologies and processes that contribute to household carbon footprints in California and the United States. The approach breaks down the carbon footprint by 35 different household fuel end uses and 32 different supply chain fuel end uses. This level of end use detail allows energy and policy analysts to better understand the underlying technologies and processes contributing to the carbon footprint of California households. The modeling framework was applied to estimate the annual home energy and supply chain carbon footprints of a prototypical California household. A preliminary assessment of parameter uncertainty associated with key model input data was also conducted. To illustrate the policy-relevance of this modeling framework, a case study was conducted that analyzed the achievable carbon footprint reductions associated with the adoption of energy efficient household and supply chain technologies.

  19. Kingston Creek Hydro Project Powers 100 Households | Department...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Kingston Creek Hydro Project Powers 100 Households Kingston Creek Hydro Project Powers 100 Households August 21, 2013 - 12:00am Addthis Nevada-based contracting firm Nevada ...

  20. Energy Information Administration/Household Vehicles Energy Consumptio...

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

    , Energy Information AdministrationHousehold Vehicles Energy Consumption 1994 ix Household Vehicles Energy Consumption 1994 presents statistics about energy-related...

  1. Loan Programs for Low- and Moderate-Income Households | Department...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Programs for Low- and Moderate-Income Households Loan Programs for Low- and Moderate-Income Households Better Buildings Residential Network Multifamily and Low-Income Housing Peer ...

  2. Household Response To Dynamic Pricing Of Electricity: A Survey...

    Open Energy Info (EERE)

    Household Response To Dynamic Pricing Of Electricity: A Survey Of The Experimental Evidence Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Household Response To Dynamic...

  3. Monhegan Island | Open Energy Information

    Open Energy Info (EERE)

    Island Jump to: navigation, search Name Monhegan Island Facility Monhegan Island Sector Wind energy Facility Type Offshore Wind Facility Status Proposed Owner Maine State Dept of...

  4. Microsoft Word - Household Energy Use CA

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

    0 20 40 60 80 100 US PAC CA Site Consumption million Btu $0 $500 $1,000 $1,500 $2,000 $2,500 US PAC CA Expenditures dollars ALL ENERGY average per household (excl. transportation) 0 2,000 4,000 6,000 8,000 10,000 12,000 US PAC CA Site Consumption kilowatthours $0 $250 $500 $750 $1,000 $1,250 $1,500 US PAC CA Expenditures dollars ELECTRICITY ONLY average per household  California households use 62 million Btu of energy per home, 31% less than the U.S. average. The lower than average site

  5. Microsoft Word - Household Energy Use CA

    Gasoline and Diesel Fuel Update (EIA)

    0 20 40 60 80 100 US PAC CA Site Consumption million Btu $0 $500 $1,000 $1,500 $2,000 $2,500 US PAC CA Expenditures dollars ALL ENERGY average per household (excl. transportation) 0 2,000 4,000 6,000 8,000 10,000 12,000 US PAC CA Site Consumption kilowatthours $0 $250 $500 $750 $1,000 $1,250 $1,500 US PAC CA Expenditures dollars ELECTRICITY ONLY average per household  California households use 62 million Btu of energy per home, 31% less than the U.S. average. The lower than average site

  6. BooNE: Booster Neutrino Experiment

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Experiment Details This page provides information on the MiniBooNE experiment. Images are linked in their own page with captions. Additional resources are the Talks, Slides and Posters page, Publications page, and Data Release page Beamline Flux Detector Cross sections Light Propagation (Optical Model) Calibration Particle Identification BooNE photo montage

  7. A=16Ne (1982AJ01)

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    82AJ01) (See the Isobar Diagram for 16Ne) GENERAL: See also (1977AJ02) and Table 16.27 [Table of Energy Levels] (in PDF or PS). Theoretical work: (1978GU10, 1978SP1C, 1981LI1M). Reviews: (1977CE05, 1979AL1J, 1980TR1E). Mass of 16Ne: The Q-values of the 20Ne(α, 8He) and 16O(π+, π-) reactions lead to an atomic mass excess of 24.02 ± 0.04 MeV for 16Ne. 16Ne is then unbound with respect to decay into 14O + 2p by 1.43 MeV and is bound with respect to decay into 15F + p by 0.04 MeV. 1. 16O(π+,

  8. A=17Ne (1993TI07)

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    93TI07) (See the Isobar Diagram for 17Ne) GENERAL: See Table Prev. Table 17.26 preview 17.26 [Table of Energy Levels] (in PDF or PS). 1. (a) 17Ne(β+)17F* → 16O + p Qm = 13.928 (b) 17Ne(β+)17F → 13N + α Qm = 8.711 (c) 17Ne(β+)17F Qm = 14.529 The half-life of 17Ne has been reported as 109.0 ± 1.0 msec (1971HA05) and 109.3 ± 0.6 msec (1988BO39): the weighted mean is 109.2 ± 0.6 and we adopt it. The decay is primarily to the proton unstable states of 17F at 4.65, 5.49, 6.04 and 8.08 MeV

  9. Washington County, Rhode Island: Energy Resources | Open Energy...

    Open Energy Info (EERE)

    Rhode Island Bradford, Rhode Island Charlestown, Rhode Island Exeter, Rhode Island Hope Valley, Rhode Island Hopkinton, Rhode Island Kingston, Rhode Island Narragansett Pier,...

  10. Household energy consumption and expenditures 1993

    SciTech Connect (OSTI)

    1995-10-05

    This presents information about household end-use consumption of energy and expenditures for that energy. These data were collected in the 1993 Residential Energy Consumption Survey; more than 7,000 households were surveyed for information on their housing units, energy consumption and expenditures, stock of energy-consuming appliances, and energy-related behavior. The information represents all households nationwide (97 million). Key findings: National residential energy consumption was 10.0 quadrillion Btu in 1993, a 9% increase over 1990. Weather has a significant effect on energy consumption. Consumption of electricity for appliances is increasing. Houses that use electricity for space heating have lower overall energy expenditures than households that heat with other fuels. RECS collected data for the 4 most populous states: CA, FL, NY, TX.

  11. FY16 NE Budget Request Presentation | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    6 NE Budget Request Presentation FY16 NE Budget Request Presentation PDF icon Office of Nuclear Energy FY16 Budget Request Presentation More Documents & Publications FY17 NE Budget ...

  12. Island Energy Conference

    Broader source: Energy.gov [DOE]

    The sixth annual Island Energy Conference will include speakers and panels on Friday, November 6, and a site visit to Star Island, New Hampshire, that hosts Northern New England’s largest offshore...

  13. 2011 Annual Planning Summary for Nuclear Energy (NE) | Department...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Nuclear Energy (NE) 2011 Annual Planning Summary for Nuclear Energy (NE) The ongoing and projected Environmental Assessments and Environmental Impact Statements for 2011 and 2012 ...

  14. Arctic ice islands

    SciTech Connect (OSTI)

    Sackinger, W.M.; Jeffries, M.O.; Lu, M.C.; Li, F.C.

    1988-01-01

    The development of offshore oil and gas resources in the Arctic waters of Alaska requires offshore structures which successfully resist the lateral forces due to moving, drifting ice. Ice islands are floating, a tabular icebergs, up to 60 meters thick, of solid ice throughout their thickness. The ice islands are thus regarded as the strongest ice features in the Arctic; fixed offshore structures which can directly withstand the impact of ice islands are possible but in some locations may be so expensive as to make oilfield development uneconomic. The resolution of the ice island problem requires two research steps: (1) calculation of the probability of interaction between an ice island and an offshore structure in a given region; and (2) if the probability if sufficiently large, then the study of possible interactions between ice island and structure, to discover mitigative measures to deal with the moving ice island. The ice island research conducted during the 1983-1988 interval, which is summarized in this report, was concerned with the first step. Monte Carlo simulations of ice island generation and movement suggest that ice island lifetimes range from 0 to 70 years, and that 85% of the lifetimes are less then 35 years. The simulation shows a mean value of 18 ice islands present at any time in the Arctic Ocean, with a 90% probability of less than 30 ice islands. At this time, approximately 34 ice islands are known, from observations, to exist in the Arctic Ocean, not including the 10-meter thick class of ice islands. Return interval plots from the simulation show that coastal zones of the Beaufort and Chukchi Seas, already leased for oil development, have ice island recurrences of 10 to 100 years. This implies that the ice island hazard must be considered thoroughly, and appropriate safety measures adopted, when offshore oil production plans are formulated for the Alaskan Arctic offshore. 132 refs., 161 figs., 17 tabs.

  15. Island Energy Snapshots

    Broader source: Energy.gov [DOE]

    These energy snapshots highlight the energy landscape of islands in the Caribbean, the Pacific, and the surrounding area.

  16. Bainbridge Island Data Dashboard

    Broader source: Energy.gov [DOE]

    The data dashboard for Bainbridge Island, a partner in the U.S. Department of Energy's Better Buildings Neighborhood Program.

  17. MiniBooNE Flux Data Release

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    The Neutrino Flux Prediction at MiniBooNE", arXiv:0806.1449 [hep-ex], Phys. Rev. D. 79, 072002 (2009) The following MiniBooNE information from the large flux paper in 2009 is made available to the public: Text files containing flux information for each neutrino species Positive horn polarity (neutrino-enhanced mode) Negative horn polarity (anti neutrino-enhanced mode) Contact Information For clarifications on how to use MiniBooNE public data or for enquiries about additional data not linked

  18. NE - Nuclear Energy - Energy Conservation Plan

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    NUCLEAR ENERGY (NE) ENERGY CONSERVATION PLAN NE has heavily emphasized the use of flexiplace, both regular and situational. Since approximately 56 percent of NE staff use flexiplace, our plan is based on the Forrestal/Germantown (FORS/GTN) office spaces, and flexiplace office space. There are other common sense actions and policies that will be used to improve energy efficiency in the offices at both FORS and GTN. In the FORS/GTN office space: 1. Use flexiplace to the maximum extent possible.

  19. BooNE: Booster Neutrino Experiment

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Proceedings This page contains links to conference proceedings submitted by members of the MiniBooNE collaboration New Guidelines for Submitting Proceedings at MiniBooNE: As of June 2007, we have changed the rules on conference proceedings. Proceedings must be read by one other MiniBooNE person (besides the author) of postdoc level or above before being submitted. Proceedings should also be sent to boone-talks@fnal.gov for archiving on this website. back to Talks page Speaker Proceedings Info

  20. The MicroBooNE Experiment - Publications

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Documents and Publications Public Notes See the Public Notes Page for a list of notes with results made public by the MicroBooNE collaboration. Presentations See the Talks Page for copies of slides and posters presented at conferences and workshops. MicroBooNE DocDB Like most experiments at Fermilab, MicroBooNE uses DocDB - a documents database. Much of the contents of the DocDB are restricted to members of the collaboration, but some items are public. Use the link below to enter the public

  1. The NeXus data format

    SciTech Connect (OSTI)

    Könnecke, Mark; Akeroyd, Frederick A.; Bernstein, Herbert J.; Brewster, Aaron S.; Campbell, Stuart I.; Clausen, Björn; Cottrell, Stephen; Hoffmann, Jens Uwe; Jemian, Pete R.; Männicke, David; Osborn, Raymond; Peterson, Peter F.; Richter, Tobias; Suzuki, Jiro; Watts, Benjamin; Wintersberger, Eugen; Wuttke, Joachim

    2015-01-30

    NeXus is an effort by an international group of scientists to define a common data exchange and archival format for neutron, X-ray and muon experiments. NeXus is built on top of the scientific data format HDF5 and adds domain-specific rules for organizing data within HDF5 files, in addition to a dictionary of well defined domain-specific field names. The NeXus data format has two purposes. First, it defines a format that can serve as a container for all relevant data associated with a beamline. This is a very important use case. Second, it defines standards in the form of application definitions for the exchange of data between applications. NeXus provides structures for raw experimental data as well as for processed data.

  2. A=16Ne (1986AJ04)

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    6AJ04) (See the Isobar Diagram for 16Ne) GENERAL: See also (1982AJ01) and Table 16.26 [Table of Energy Levels] (in PDF or PS) here. See (1981SE1B, 1983ANZQ, 1985AN28, 1985MA1X). Mass of 16Ne: The Q-values of the 20Ne(α, 8He) and 16O(π+, π-) reactions lead to atomic mass excesses of 23.93 ± 0.08 MeV (1978KE06), 23.978 ± 0.024 MeV (1983WO01) and 24.048 ± 0.045 MeV (1980BU15) [recalculated using the (1985WA02) masses for 8He, 16O and 20Ne]. The weighted mean is 23.989 ± 0.020 MeV which is

  3. A=16Ne (1993TI07)

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    93TI07) (See the Isobar Diagram for 16Ne) GENERAL: See Table Prev. Table 16.29 preview 16.29 [General Table] (in PDF or PS) and Table Prev. Table 16.32 preview 16.32 [Table of Energy Levels] (in PDF or PS). Mass of 16Ne: The Q-values of the 20Ne(α, 8He) and 16O(π+, π-) reactions lead to atomic mass excesses of 23.93 ± 0.08 MeV (1978KE06), 23.978 ± 0.024 MeV (1983WO01) and 24.048 ± 0.045 MeV (1980BU15) [recalculated using the (1985WA02) masses for 8He, 16O and 20Ne]. The weighted mean is

  4. A=17Ne (1982AJ01)

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    82AJ01) (See the Isobar Diagram for 17Ne) GENERAL: See (1977AJ02) and Table 17.22 [Table of Energy Levels] (in PDF or PS). Theory and reviews:(1975BE56, 1977CE05, 1978GU10, 1978WO1E, 1979BE1H). Other topics:(1981GR08). Mass of 17Ne: The mass excess adopted by (1977WA08) is 16.478 ± 0.026 MeV, based on unpublished data. We retain the mass excess 16.48 ± 0.05 MeV based on the evidence reviewed in (1977AJ02). 1. (a) 17Ne(β+)17F* → 16O + p Qm = 13.93 (b) 17Ne(β+)17F Qm = 14.53 The half-life of

  5. A=17Ne (1986AJ04)

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    6AJ04) (See the Isobar Diagram for 17Ne) GENERAL: See (1982AJ01) and Table 17.20 [Table of Energy Levels] (in PDF or PS). Theory and reviews: (1983ANZQ, 1983AU1B, 1985AN28). 1. (a) 17Ne(β+)17F* → 16O + p Qm = 13.93 (b) 17Ne(β+)17F Qm = 14.53 The half-life of 17Ne is 109.0 ± 1.0 msec (1971HA05). Earlier values (see (1971AJ02)) gave a mean value of 108.0 ± 2.7 msec. The decay is primarily to the proton unstable states of 17F at 4.70, 5.52 and 6.04 MeV with Jπ = 3/2-, 3/2- and 1/2-: see

  6. UCB-NE-107 user's manual

    SciTech Connect (OSTI)

    Lee, W.W.L.

    1989-03-01

    The purpose of this manual is to provide users of UCB-NE-107 with the information necessary to use UCB-NE-107 effectively. UCB-NE-107 is a computer code for calculating the fractional rate of readily soluble radionuclides that are released from nuclear waste emplaced in water-saturated porous media. Waste placed in such environments will gradually dissolve. For many species such as actinides and rare earths, the process of dissolution is governed by the exterior flow field, and the chemical reaction rate or leaching rate. However, for readily soluble species such as /sup 135/Cs, /sup 137/Cs, and /sup 129/I, it has been observed that their dissolution rates are rapid. UCB-NE-107 is a code for calculating the release rate at the waste/rock interface, to check compliance with the US Nuclear Regulatory Commission's (USNRC) subsystem performance objective. It is an implementation of the analytic solution given below. 5 refs., 2 figs.

  7. BooNE: Booster Neutrino Experiment

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    (numbers, plots, details) of the MiniBooNE experiment and analysis pieces. Images are linked in their own page with captions. Additional resources are the Talks, Slides and...

  8. MiniBooNE Flux Data Release

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    on how to use MiniBooNE public data or for enquiries about additional data not linked from this page, please contact: Steve Brice or Richard Van de Water Acknowledgments If...

  9. The NeXus data format

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Könnecke, Mark; Akeroyd, Frederick A.; Bernstein, Herbert J.; Brewster, Aaron S.; Campbell, Stuart I.; Clausen, Björn; Cottrell, Stephen; Hoffmann, Jens Uwe; Jemian, Pete R.; Männicke, David; et al

    2015-01-30

    NeXus is an effort by an international group of scientists to define a common data exchange and archival format for neutron, X-ray and muon experiments. NeXus is built on top of the scientific data format HDF5 and adds domain-specific rules for organizing data within HDF5 files, in addition to a dictionary of well defined domain-specific field names. The NeXus data format has two purposes. First, it defines a format that can serve as a container for all relevant data associated with a beamline. This is a very important use case. Second, it defines standards in the form of application definitionsmore » for the exchange of data between applications. NeXus provides structures for raw experimental data as well as for processed data.« less

  10. MiniBooNE Cross Sections

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    SSECTIONS(AT)fnal.gov convenors: Alessandro Curioni (alessandro.curioni(AT)yale.edu) and Sam Zeller (gzeller(AT)fnal.gov) Cross Sections at MiniBooNE, Meetings, Reference Articles,...

  11. A=20Ne (72AJ02)

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    ) elastic scattering. It is interpreted in terms of a quasi-molecular -particle cluster model (CO69S). See also (WA65M). 18. 17O(, n)20Ne Qm 0.588 Angular...

  12. A=18Ne (1995TI07)

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    95TI07) (See Energy Level Diagrams for 18Ne) GENERAL: See Table Prev. Table 18.35 preview 18.35 [General Table] (in PDF or PS) and Table Prev. Table 18.36 preview 18.36 [Table of Energy Levels] (in PDF or PS). For B(E2) of 18Ne*(1.89) and other parameters see (1987RA01) and Table Prev. Table 2 preview 2 in the Introduction. 1. 18Ne(β+)18F Qm = 4.446 The half-life of 18Ne is 1672 ± 8 ms: see (1978AJ03) and (1983AD03). The decay is primarily to 18F*(0, 1.04, 1.70 MeV). In addition there is an

  13. A=20Ne (59AJ76)

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    59AJ76) (See Energy Level Diagram for 20Ne) GENERAL: See also Table 20.6 [Table of Energy Levels] (in PDF or PS). Theory: See (GA55B, HE55F, MO56, BA57, RA57). 1. 9Be(14N, t)20Ne Qm = 6.323 See (GO58E). 2. 16O(α, γ)20Ne Qm = 4.753 An unsuccessful attempt has been made to observe the isobaric spin-forbidden transition between the T = 0 states at 7.19 MeV (J = 3-) and 1.63 MeV (J = 2+). The radiative width is < 6 x 10-3 eV, indicating an admixture of T = 1 of < 1.3 x 10-3 in 20Ne*(7.19)

  14. MiniBooNE Nue Data Release

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Neutrino Appearance at the m2 1 eV2 Scale", arXiv:0704.1500 hep-ex, Phys. Rev. Lett. 98, 231801 (2007) The following MiniBooNE information from the first oscillation paper in...

  15. BooNE: Booster Neutrino Experiment

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    elastic cross-section paper is on the archive (arXiv:1309.7257) and has been published in Phys. Rev. D91, 012004 (2015). MiniBooNE's antineutrino charged current quasi-elastic...

  16. MiniBooNE Nuebar Data Release

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Electron Anti-Neutrino Appearance at the m2 1 eV2 Scale", arXiv:0904.1958 hep-ex, Phys. Rev. Lett. 103, 111801 (2009) The following MiniBooNE information from the 2009...

  17. BooNE: Booster Neutrino Experiment

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Posters What's a Neutrino? How neutrinos fit into our understanding of the universe. Recipe for a Neutrino Beam Start with some protons... concocting the MiniBooNE beam. The...

  18. BooNE: Booster Neutrino Experiment

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    BooNE will investigate the question of neutrino mass by searching for oscillations of muon neutrinos into electron neutrinos. This will be done by directing a muon neutrino beam...

  19. The MicroBooNE Experiment - Collaboration

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Contact MicroBooNE Spokespeople: Bonnie Fleming, Yale email: bonnie.fleming(AT)yale.edu phone: (203) 432-3235 Sam Zeller, FNAL email: gzeller(AT)fnal.gov phone: (630) 840-6879 Collaboration Members

  20. {beta} decay of {sup 26}Ne

    SciTech Connect (OSTI)

    Weissman, L.; Lisetskiy, A.F.; Arndt, O.; Dillmann, I.; Hallmann, O.; Kratz, K.L.; Pfeiffer, B.; Bergmann, U.; Cederkall, J.; Fraile, L.; Koester, U.; Franchoo, S.; Gaudefroy, L.; Sorlin, O.; Tabor, S.

    2004-11-01

    A pure neutron-rich {sup 26}Ne beam was obtained at the ISOLDE facility using isobaric selectivity. This was achieved by a combination of a plasma ion source with a cooled transfer line and subsequent mass separation. The high quality of the beam and good statistics allowed us to obtain new experimental information on the {sup 26}Ne {beta}-decay properties and resolve a contradiction between earlier experimental data and prediction of shell-model calculations.

  1. NE Press Releases | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Press Releases NE Press Releases RSS July 6, 2016 Energy Department To Fund Radiochemistry Traineeship Program The Energy Department's offices of Nuclear Energy (NE) and Environmental Management (EM) are co-funding a new traineeship program in radiochemistry at Washington State University (WSU) in Pullman. June 14, 2016 Energy Department Invests $82 Million to Advanced Nuclear Technology In total, 93 projects were selected to receive funding that will help push innovative nuclear technologies

  2. BooNE: Booster Neutrino Experiment

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Articles FermiNews Fermilab's biweekly magazine (several stories) Beam Line: Special Neutrino Issue A special issue of SLAC's quarterly magazine. Earth & Sky "Catching Ghost Particles": Interview with Janet Conrad Columbia Magazine "The Nature of the Neutrino": MiniBooNE and neutrinos The Los Angeles Times "It's No Small Matter": K. C. Cole's article detailing her summer 2003 stint at Fermilab working on MiniBooNE [text only]

  3. MicroBooNE Detector Move

    ScienceCinema (OSTI)

    Flemming, Bonnie; Rameika, Gina

    2014-07-15

    On Monday, June 23, 2014 the MicroBooNE detector -- a 30-ton vessel that will be used to study ghostly particles called neutrinos -- was transported three miles across the Fermilab site and gently lowered into the laboratory's Liquid-Argon Test Facility. This video documents that move, some taken with time-lapse camerad, and shows the process of getting the MicroBooNE detector to its new home.

  4. MicroBooNE Detector Stability MICROBOONE-NOTE-1013-PUB The MicroBooNE

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    MicroBooNE Detector Stability MICROBOONE-NOTE-1013-PUB The MicroBooNE Collaboration June 30, 2016 Abstract The Micro Booster Neutrino Experiment (MicroBooNE) is designed to explore the low- energy excess in the ν e event spectrum reported by the MiniBooNE experiment [1] and to measure ν-Ar cross sections in the 1 GeV energy range. The detector is a liquid argon time projection chamber with wire readout, supplemented with a light detection system based on photo-multiplier tubes (PMTs). The

  5. FY17 NE Budget Request Presentation | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    FY17 NE Budget Request Presentation FY17 NE Budget Request Presentation FY17 NE Budget Request Presentation (2.07 MB) More Documents & Publications FY16 NE Budget Request Presentation Office of Nuclear Energy Fiscal Year 2014 Budget Request Assessment of Small Modular Reactor Suitability for Use On or Near Air Force Space Command Installations SAND 2016-2600

  6. MiniBooNE at All Experimenter's Meeting

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    100807 MiniBooNE Status Report R.G. Van de Water 100107 MiniBooNE Status Report R.G. Van de Water 080607 MiniBooNE Status Report Steve Brice 073007 MiniBooNE Status...

  7. Cross section analyses in MiniBooNE and SciBooNE experiments

    SciTech Connect (OSTI)

    Katori, Teppei

    2015-05-15

    The MiniBooNE experiment (2002-2012) and the SciBooNE experiment (2007-2008) are modern high statistics neutrino experiments, and they developed many new ideas in neutrino cross section analyses. In this note, I discuss selected topics of these analyses.

  8. Island Boundaries, Hawaii

    SciTech Connect (OSTI)

    Nicole Lautze

    2015-01-01

    Outline of Hawaiian islands (Kauai, Oahu, Molokai, Kahoolawe, Lanai, Maui, Hawaii) generated from the Geologic Map of the State of Hawaii published by the USGS in 2007.

  9. San Clemente Island, Channel Islands National Park, California...

    Energy Savers [EERE]

    San Clemente Island, Channel Islands National Park, California Photo of Wind Turbine on ... Management Program (FEMP). A third turbine was installed in 1999, allowing the wind ...

  10. A=19Ne (1995TI07)

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    95TI07) (See Energy Level Diagrams for 19Ne) GENERAL: See Table Prev. Table 19.26 preview 19.26 [General Table] (in PDF or PS) and Table Prev. Table 19.27 preview 19.27 [Table of Energy Levels] (in PDF or PS) here. μg.s. = -1.88542 (8) nm (1982MA39) μ0.239 = -0.740 (8) nm (1978LEZA) 1. 19Ne(β+)19F Qm = 3.238 We adopt the half-life of 19Ne suggested by (1983AD03): 17.34 ± 0.09 s. See also (1978AJ03). The decay is principally to 19Fg.s.: see Table Prev. Table 19.29 preview 19.29 (in PDF or

  11. TWP Island Cloud Trail Studies

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    These island cloud trails have been observed from both the islands of Nauru and Manus, Papua New Guinea. Figure 2 shows an island cloud at Manus observed from MTI and from the ...

  12. Determinants of Household Use of Selected Energy Star Appliances - Energy

    Gasoline and Diesel Fuel Update (EIA)

    Information Administration Determinants of Household Use of Selected Energy Star Appliances Release date: May 25, 2016 Introduction According to the 2009 Residential Energy Consumption Survey (RECS), household appliances1accounted for 35% of U.S. household energy consumption, up from 24% in 1993. Thus, improvements in the energy performance of residential appliances as well as increases in the use of more efficient appliances can be effective in reducing household energy consumption and

  13. MiniBooNE Nue Data Release

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Neutrino Appearance at the Δm2 ~1 eV2 Scale", arXiv:0704.1500 [hep-ex], Phys. Rev. Lett. 98, 231801 (2007) The following MiniBooNE information from the first oscillation paper in 2007 is made available to the public: Energy Range for Default Oscillation Fit (475 MeV - 3000 MeV reconstructed neutrino energy) ntuple file of official MiniBooNE sin2(2theta) sensitivity and upper limit curves as a function of Dm2, for a 2-neutrino muon-to-electron oscillation fit, and 90% and 3sigma confidence

  14. MiniBooNE Nuebar Data Release

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Search for Electron Anti-Neutrino Appearance at the Δm2 ~1 eV2 Scale", arXiv:0904.1958 [hep-ex], Phys. Rev. Lett. 103, 111801 (2009) The following MiniBooNE information from the 2009 nuebar appearance paper is made available to the public: Energy Range: 475 MeV - 3000 MeV reconstructed neutrino energy ntuple file of MiniBooNE sin2(2theta) sensitivity and upper limit curves as a function of Dm2, for a 2-neutrino muon-to-electron antineutrino oscillation fit, and 90% and 3sigma confidence

  15. MiniBooNE Oscillation Results

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Oscillation Results and Implications Michael H. Shaevitz for the MiniBooNE Collaboration Abstract. The MiniBooNE Collaboration has reported ...rst results of a search for e appearance in a beam. With two largely independent analyses, no signi...cant excess was observed of events above background for reconstructed neutrino energies above 475 MeV and the data are consistent with no oscillations within a two neutrino appearance-only oscillation model. An excess of events (186 27 33 events) is

  16. MiniBooNE Steve Brice Fermilab

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    17 May 2006 1 MiniBooNE Steve Brice Fermilab * Oscillation Analysis * Issues of the Past Year - Normalization - Optical Model -  0 MisIDs * Summary * Future DOE Review 17 May 2006 2 MiniBooNE Goal * Search for  e appearance in a   beam at the ~0.3% level - L=540 m ~10x LSND - E~500 MeV ~10x LSND DOE Review 17 May 2006 3 Particle ID * Identify electrons (and thus candidate  e events) from characteristic hit topology * Non-neutrino background easily removed     n p W

  17. BooNE: Booster Neutrino Experiment

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Milestones 2008: January 1 1E21 protons on target recorded by MiniBooNE 2007: April 10 25m absorber repaired 2006: August 23 9e16 protons delivered in a single hour (Booster champagne goal) January 18 first antineutrino beam 2004: April 26 Record week (04/19-04/26) 6.83E18 protons delivered. 2003: March 28 Record day: 9.6E17 protons delivered March 18 Record day: 8.18E17 protons delivered March 06 5.5E17 protons delivered to MiniBooNE in 1 hour. (passed the official BD 5E16 milestone) March 01

  18. MicroBooNE First Cosmic Tracks

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    First Tracks in MicroBooNE (August 6, 2015) On August 6, 2015, we started to turn on the drift high voltage in the MicroBooNE detector for the very first time. We paused at 58 kV (this is about 1/2 of our design voltage) and immediately started to see tracks across the entire TPC. Below are some of our first images of cosmic rays and UV laser tracks (last picture) recorded by the TPC! Collection plane images: And here is one of the first images of a UV laser track in the TPC. You can tell which

  19. A=18Ne (1983AJ01)

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    83AJ01) (See Energy Level Diagrams for 18Ne) GENERAL: See also (1978AJ03) and Table 18.21 [Table of Energy Levels] (in PDF or PS). Model calculations: (1979DA15, 1979SA31, 1980ZH01). Electromagnetic transitions: (1977HA1Z, 1979SA31, 1982LA26). Special states: (1977HE18, 1978KR1G, 1979DA15, 1979SA31, 1980OK01, 1982ZH1D). Astrophysical questions: (1978WO1E). Complex reactions involving 18Ne: (1979HE1D). Pion-induced capture and reactions (See also reaction 6.): (1977PE12, 1977SP1B, 1978BU09,

  20. A=18Ne (1987AJ02)

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    7AJ02) (See Energy Level Diagrams for 18Ne) GENERAL: See (1983AJ01) and Table 18.22 [Table of Energy Levels] (in PDF or PS). Model calculations:(1982ZH01, 1983BR29, 1984SA37, 1985RO1G). Special states:(1982ZH01, 1983BI1C, 1983BR29, 1984SA37, 1985RO1G, 1986AN10, 1986AN07). Electromagnetic transitions:(1982BR24, 1982RI04, 1983BR29, 1985AL21, 1986AN10). Astrophysical questions:(1982WI1B, 1987WI11). Complex reactions involving 18Ne:(1986HA1B). Pion capture and reactions (See also reaction

  1. BooNE: Booster Neutrino Experiment

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Cross Sections MiniBooNE's neutrino flux (with a mean energy of ~700 MeV) dictates the type of neutrino interactions the experiment sees. At these energies, quasi-elastic (QE) and single pion production processes dominate. For MiniBooNE, the contributions from multi-pion production and deep inelastic scattering (DIS) are small. image: neutrino cross sections vs energy There are several cross sections which contribute at these energies. Here is a plot of the charged current (CC) cross section

  2. BooNE: Booster Neutrino Experiment

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Detector The MiniBooNE tank is 12 m diameter sphere, filled with approximately 800 tons of mineral oil, CH2, which has a density of 0.845 ± 0.001 g/cm3. 1280 PMTs provide about 10% coverage of the inner tank region, and 240 PMTs cover the outer, optically isolated "veto" region in the last 1.3 m in the tank. Most of the tubes were recovered from LSND, and are 'old' tubes, some additional ones were bought for MiniBooNE, and are 'new'; differences in the new vs the old tube function are

  3. BooNE: Booster Neutrino Experiment

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Flux The MiniBooNE neutrino flux calculations are described in detail in PRD 79, 072002 (2009) and arXiv:0806.1449 General neutrino fluxes vs true neutrino energy, for MiniBooNE: image:muon neutrino flux image:electron neutrino flux image:final muon and electron neutrino fluxes π+ production Data sets: M.G. Catanesi et al. [HARP Collaboration], ``Measurement of the production cross-section of positive pions in the collision of 8.9-GeV/c protons on beryllium,'', arXiv:hep-ex/0702024 E910

  4. Basaltic island sand provenance

    SciTech Connect (OSTI)

    Marsaglia, K.M. . Dept. of Geological Sciences)

    1992-01-01

    The Hawaiian Islands are an ideal location to study basaltic sand provenance in that they are a series of progressively older basaltic shield volcanoes with arid to humid microclimates. Sixty-two sand samples were collected from beaches on the islands of Hawaii, Maui, Oahu and Kauai and petrographically analyzed. The major sand components are calcareous bioclasts, volcanic lithic fragments, and monomineralic grains of dense minerals and plagioclase. Proportions of these components vary from island to island, with bioclastic end members being more prevalent on older islands exhibiting well-developed fringing reef systems and volcanic end members more prevalent on younger, volcanically active islands. Climatic variations across the island of Hawaii are reflected in the percentage of weathered detritus, which is greater on the wetter, northern side of the island. The groundmass of glassy, basaltic lithics is predominantly black tachylite, with lesser brown sideromelane; microlitic and lathwork textures are more common than holohyaline vitric textures. Other common basaltic volcanic lithic fragments are holocrystalline aggregates of silt-sized pyroxene or olivine, opaque minerals and plagioclase. Sands derived from alkalic lavas are texturally and compositionally indistinguishable from sands derived from tholeiitic lavas. Although Hawaiian basaltic sands overlap in composition with magmatic arc-derived sands in terms of their relative QFL, QmPK and LmLvLs percentages, they are dissimilar in that they lack felsic components and are more enriched in lathwork volcanic lithic fragments, holocrystalline volcanic lithic fragments, and dense minerals.

  5. UCB-NE-108 user's manual

    SciTech Connect (OSTI)

    Kang, C.H.; Lee, W.W.L.

    1989-04-01

    The purpose of this manual is to provide users of UCB-NE-108 with the information necessary to use UCB-NE-108 effectively. UCB-NE-108 is a computer code for calculating the fractional release rate of readily soluble radionuclides that are released from nuclear waste emplaced in water-saturated porous media, and transported through layers of porous media. Waste placed in such environments will gradually dissolve. For many species such as actinides and rare earths, the process of dissolution is governed by the exterior flow field, and the chemical reaction rate or leaching rate. In a spent-fuel waste package the soluble cesium and iodine accumulated in fuel-cladding gaps, voids, and grain boundaries of spent fuel rods are expected to dissolve rapidly when groundwater penetrates the fuel cladding. UCB-NE-108 is a code for calculating the release rate at the interface of two layers of porous material, such as the backfill around a high-level waste package and natural rock, to check compliance with the US Nuclear Regulatory Commission's (USNRC) subsystem performance objective. It is an implementation of the analytic solution given below. 6 refs., 2 figs.

  6. MiniBooNE darkmatter collaboration

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    MiniBooNE-DM Collaboration A.A. Aguilar-Arevalo,1 B. Batell,2 B.C. Brown,3 R. Carr,4 R. Cooper,5 P. deNiverville,6 R. Dharmapalan,7 R. Ford,3 F.G. Garcia,3 G. T. Garvey,8 J....

  7. A=16Ne (71AJ02)

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    predicts M - A 25.15 0.6 MeV (CE68A: 16Ne is then unbound with respect to breakup into 14O + 2p by 2.6 MeV. See also (GO60K, GO60P, BA61F, GO61N, GO62N, GO62O, GA64A,...

  8. A=16Ne (1977AJ02)

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    predicts M - A 25.15 0.6 MeV (1968CE1A); 16Ne is then unbound with respect to breakup into 14O + 2p by 2.6 MeV: see (1971AJ02) for the earlier work. See also (1972WA07)...

  9. A=17Ne (71AJ02)

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Diagram for 17Ne) GENERAL: See also Table 17.22 Table of Energy Levels (in PDF or PS). Theory: (WI64E, MA65J, MA66BB). Reviews: (BA60Q, GO60P, BA61F, GO62N, GO64J, GO66J, GO66L,...

  10. BooNE: Booster Neutrino Experiment

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Civil Construction Pictures The civil construction required for the MiniBooNE experiment consists of two independent construction projects. The Detector Construction: This project was started on October 15, 1999. The 8-GeV Beamline and Target Hall: This project started on June 7, 2000.

  11. Household Energy Consumption Segmentation Using Hourly Data

    SciTech Connect (OSTI)

    Kwac, J; Flora, J; Rajagopal, R

    2014-01-01

    The increasing US deployment of residential advanced metering infrastructure (AMI) has made hourly energy consumption data widely available. Using CA smart meter data, we investigate a household electricity segmentation methodology that uses an encoding system with a pre-processed load shape dictionary. Structured approaches using features derived from the encoded data drive five sample program and policy relevant energy lifestyle segmentation strategies. We also ensure that the methodologies developed scale to large data sets.

  12. Household energy consumption and expenditures, 1987

    SciTech Connect (OSTI)

    Not Available

    1989-10-10

    Household Energy Consumption and Expenditures 1987, Part 1: National Data is the second publication in a series from the 1987 Residential Energy Consumption Survey (RECS). It is prepared by the Energy End Use Division (EEUD) of the Office of Energy Markets and End Use (EMEU), Energy Information Administration (EIA). The EIA collects and publishes comprehensive data on energy consumption in occupied housing units in the residential sector through the RECS. 15 figs., 50 tabs.

  13. MiniBooNE Results / MicroBooNE Status! Eric Church, Yale University

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    trigger ReconstructionpID: LArSoft LAr fill w.o. evacuation Surface Running UV Laser Calibration System Spring-Summer, 2014 16 February 22, 2014 MicroBooNE ...

  14. MiniBooNE Numu/Numubar Disappearance Data Release

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    for muon neutrino and antineutrino disappearance in MiniBooNE", arXiv:0903.2465 hep-ex, Phys. Rev. Lett. 103, 061802 (2009) The following MiniBooNE information from the 2009 numu...

  15. Joint MiniBooNE, SciBooNE Disappearance Analysis Gary Cheng Warren Huelsnitz

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    MiniBooNE, SciBooNE Disappearance Analysis Gary Cheng Warren Huelsnitz Columbia University Los Alamos National Lab Fermilab 31 Aug 2012 Friday, August 31, 2012 Acknowledgements * Teppei Katori * Joe Grange * Zarko Pavlovic * Kendall Mahn and Yasuhiro Nakajima 2 * Muon Neutrino CCQE Cross Section Analysis (Phys. Rev. D81, 092005 (2010)) * Neutrino Contamination in Antineutrino Mode (Phys. Rev. D84, 072005 (2011) and arXiv: 1107.5327) * Electron Neutrino (Antineutrino) Appearance (Phys. Rev. Lett.

  16. Household and environmental characteristics related to household energy-consumption change: A human ecological approach

    SciTech Connect (OSTI)

    Guerin, D.A.

    1988-01-01

    This study focused on the family household as an organism and on its interaction with the three environments of the human ecosystem (natural, behavioral, and constructed) as these influence energy consumption and energy-consumption change. A secondary statistical analysis of data from the US Department of Energy Residential Energy Consumption Surveys (RECS) was completed. The 1980 and 1983 RECS were used as the data base. Longitudinal data, including household, environmental, and energy-consumption measures, were available for over 800 households. The households were selected from a national sample of owner-occupied housing units surveyed in both years. Results showed a significant( p = <.05) relationship between the dependent-variable energy-consumption change and the predictor variables heating degree days, addition of insulation, addition of a wood-burning stove, year the housing unit was built, and weighted number of appliances. A significant (p = <.05) relationship was found between the criterion variable energy-consumption change and the discriminating variables of age of the head of the household, cooling degree days, heating degree days, year the housing unit was built, and number of stories in the housing unit.

  17. A=18Ne (1972AJ02)

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    2AJ02) (See Energy Level Diagrams for 18Ne) GENERAL: See Table 18.23 [Table of Energy Levels] (in PDF or PS). Shell and cluster model calculations: (1957WI1E, 1969BE1T, 1970BA2E, 1970EL08, 1970HA49, 1972KA01). Electromagnetic transitions: (1970EL08, 1970HA49). Special levels: (1966MI1G, 1969KA29, 1972KA01). Pion reactions: (1965PA1F). Other theoretical calculations: (1965GO1F, 1966KE16, 1968BA2H, 1968BE1V, 1968MU1B, 1968NE1C, 1968VA1J, 1968VA24, 1969BA1Z, 1969GA1G, 1969KA29, 1969MU09, 1969RA28,

  18. A=19Ne (1983AJ01)

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    83AJ01) (See Energy Level Diagrams for 19Ne) GENERAL: See (1978AJ03) and Table 19.23 [Table of Energy Levels] (in PDF or PS). Nuclear models: (1978MA2H, 1978PE09, 1978PI06, 1979DA15, 1979MA27, 1979PE16, 1982KI02). Electromagnetic transitions: (1978PE09, 1978SC19, 1979MA27, 1979PE16). Special states: (1978MA2H, 1978PE09, 1978PI06, 1978SC19, 1979DA15, 1980OK01, 1982KI02). Astrophysical questions: (1977SI1D, 1978WO1E, 1979RA1C). Applied topics: (1979AL1Q). Complex reactions involving 19Ne:

  19. A=19Ne (1987AJ02)

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    7AJ02) (See Energy Level Diagrams for 19Ne) GENERAL: See (1983AJ01) and Table 19.21 [Table of Energy Levels] (in PDF or PS). Nuclear models:(1983BR29, 1983PO02). Special states: (1983BI1C, 1983BR29, 1983PO02, 1986AN07). Electromagnetic transitions: (1982BR24, 1983BR29, 1985AL21). Astrophysical questions: (1981WA1Q, 1982WI1B, 1986LA07). Applications:(1982BO1N). Complex reactions involving 19Ne:(1981DE1P, 1983JA05, 1984GR08, 1985BE40, 1986GR1A, 1986HA1B, 1987RI03). Pion capture and reactions (See

  20. United States Virgin Islands: Energy Resources | Open Energy...

    Open Energy Info (EERE)

    Rebate Program (Virgin Islands) U.S. Virgin Islands - Energy Efficiency Residential Rebates (Virgin Islands) U.S. Virgin Islands - Net Metering (Virgin Islands) U.S. Virgin...

  1. Djurcic_MiniBooNE_NuFact2010

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    MiniBooNE Results Zelimir Djurcic Zelimir Djurcic Argonne National Laboratory Argonne National Laboratory NuFact2010: 12th International Workshop on Neutrino Factories, NuFact2010: 12th International Workshop on Neutrino Factories, Superbeams Superbeams and and Beta Beams Beta Beams October 20-25, 2010. Mumbai, India October 20-25, 2010. Mumbai, India Outline Outline * * MiniBooNE MiniBooNE Experiment Description Experiment Description * * MiniBooNE MiniBooNE ' ' s s Neutrino Results Neutrino

  2. M r. Andrew Wallo, III, NE-23

    Office of Legacy Management (LM)

    300.955 L*Enfom Plaza, S. Iv.. Washrhington. D.C. 200242174, Tekphonc (202) 7117-03.87.cdy.43 23 September 1987 M r. Andrew Wallo, III, NE-23 Division of Facility & Site Deconnnissioning Projects U.S. Department of Energy Germantown, Maryland 20545 Dear M r. Wallo: ELIMINATION RECOMMENDATION -- COLLEGES AND UNIVERSITIES The attached elimination recommendation was prepared in accordi with your suggestion during our meeting on 22 September. The reconu includes 26 colleges and universities

  3. MicroBooNE Proposal Addendum March

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    MicroBooNE Proposal Addendum March 3, 2008 H. Chen, G. de Geronimo, J. Farrell, A. Kandasamy, F. Lanni, D. Lissauer, D. Makowiecki, J. Mead, V. Radeka, S. Rescia, J. Sondericker, B. Yu Brookhaven National Laboratory, Upton, NY L. Bugel, J. M. Conrad, Z. Djurcic, V. Nguyen, M. Shaevitz, W. Willis ‡ Columbia University, New York, NY C. James, S. Pordes, G. Rameika Fermi National Accelerator Laboratory, Batavia, IL C. Bromberg, D. Edmunds Michigan State University, Lansing, MI P. Nienaber St.

  4. BooNE: Booster Neutrino Experiment

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Light propagation in mineral oil Though the dominant light observed in MiniBooNE is Cherenkov light, scintillation and fluorescence (here, reabsorbed Cherenkov light re-emitted) account for about 25% of the light. We model: scintillation light (yield, decay times, spectrum), fluorescence, scattering (Rayleigh, Raman), absorption, reflection (off tank walls, PMT faces) and PMT effects (single pe charge response). External measurements Scintillation from p beam (IUCF) Scintillation from cosmic mu

  5. BooNE: Booster Neutrino Experiment

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Particle Identification (PID) We use hit topology and timing to identify events. Particles produce Cherenkov light in our tank, as well as some scintillation light, dependent on particle type. Two independent methods to identify electron neutrinos in MiniBooNE: Boosted Decision Trees, and Track Based. The two methods use different event reconstruction fitters. Boosted Decision Trees (BDT) Decision trees are similar to neural nets, but don't suffer from the same pathologies. To form a decision

  6. Strategies for Collecting Household Energy Data | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Collecting Household Energy Data Strategies for Collecting Household Energy Data Better Buildings Neighborhood Program Data and Evaluation Peer Exchange Call: Strategies for Collecting Household Energy Data, Call Slides and Discussion Summary, July 19, 2012. Call Slides and Discussion Summary (700.06 KB) More Documents & Publications Homeowner and Contractor Surveys Mastermind: Jim Mikel, Spirit Foundation Generating Energy Efficiency Project Leads and Allocating Leads to Contractors

  7. Household energy consumption and expenditures 1987

    SciTech Connect (OSTI)

    Not Available

    1990-01-22

    This report is the third in the series of reports presenting data from the 1987 Residential Energy Consumption Survey (RECS). The 1987 RECS, seventh in a series of national surveys of households and their energy suppliers, provides baseline information on household energy use in the United States. Data from the seven RECS and its companion survey, the Residential Transportation Energy Consumption Survey (RTECS), are made available to the public in published reports such as this one, and on public use data files. This report presents data for the four Census regions and nine Census divisions on the consumption of and expenditures for electricity, natural gas, fuel oil and kerosene (as a single category), and liquefied petroleum gas (LPG). Data are also presented on consumption of wood at the Census region level. The emphasis in this report is on graphic depiction of the data. Data from previous RECS surveys are provided in the graphics, which indicate the regional trends in consumption, expenditures, and uses of energy. These graphs present data for the United States and each Census division. 12 figs., 71 tabs.

  8. Appliance Commitment for Household Load Scheduling

    SciTech Connect (OSTI)

    Du, Pengwei; Lu, Ning

    2011-06-30

    This paper presents a novel appliance commitment algorithm that schedules thermostatically-controlled household loads based on price and consumption forecasts considering users comfort settings to meet an optimization objective such as minimum payment or maximum comfort. The formulation of an appliance commitment problem was described in the paper using an electrical water heater load as an example. The thermal dynamics of heating and coasting of the water heater load was modeled by physical models; random hot water consumption was modeled with statistical methods. The models were used to predict the appliance operation over the scheduling time horizon. User comfort was transformed to a set of linear constraints. Then, a novel linear, sequential, optimization process was used to solve the appliance commitment problem. The simulation results demonstrate that the algorithm is fast, robust, and flexible. The algorithm can be used in home/building energy-management systems to help household owners or building managers to automatically create optimal load operation schedules based on different cost and comfort settings and compare cost/benefits among schedules.

  9. Household energy consumption and expenditures, 1990. [Contains Glossary

    SciTech Connect (OSTI)

    Not Available

    1993-03-02

    This report, Household Energy Consumption and Expenditures 1990, is based upon data from the 1990 Residential Energy Consumption Survey (RECS). Focusing on energy end-use consumption and expenditures of households, the 1990 RECS is the eighth in a series conducted since 1978 by the Energy Information Administration (EIA). Over 5,000 households were surveyed, providing information on their housing units, housing characteristics, energy consumption and expenditures, stock of energy-consuming appliances, and energy-related behavior. The information provided represents the characteristics and energy consumption of 94 million households nationwide.

  10. Delivering Energy Efficiency to Middle Income Single Family Households

    SciTech Connect (OSTI)

    none,

    2011-12-01

    Provides state and local policymakers with information on successful approaches to the design and implementation of residential efficiency programs for households ineligible for low-income programs.

  11. Barriers to household investment in residential energy conservation: preliminary assessment

    SciTech Connect (OSTI)

    Hoffman, W.L.

    1982-12-01

    A general assessment of the range of barriers which impede household investments in weatherization and other energy efficiency improvements for their homes is provided. The relationship of similar factors to households' interest in receiving a free energy audits examined. Rates of return that underly household investments in major conservation improvements are assessed. A special analysis of household knowledge of economically attractive investments is provided that compares high payback improvements specified by the energy audit with the list of needed or desirable conservation improvements identified by respondents. (LEW)

  12. " Million U.S. Housing Units" ,,"2005 Household...

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

    8 Water Heating Characteristics by Household Income, 2005" " Million U.S. Housing Units" ... to 79,999","80,000 or More" "Water Heating Characteristics" ...

  13. PSEG Long Island- Renewable Electricity Goal

    Broader source: Energy.gov [DOE]

    NOTE: As of January 1, 2014, Long Island is served by PSEG Long Island, replacing Long Island Power Authority (LIPA). Long Island Renewable Energy goal ended in 2013, and currently does not have...

  14. Long Island Solar Farm

    SciTech Connect (OSTI)

    Anders, R.

    2013-05-01

    The Long Island Solar Farm (LISF) is a remarkable success story, whereby very different interest groups found a way to capitalize on unusual circumstances to develop a mutually beneficial source of renewable energy. The uniqueness of the circumstances that were necessary to develop the Long Island Solar Farm make it very difficult to replicate. The project is, however, an unparalleled resource for solar energy research, which will greatly inform large-scale PV solar development in the East. Lastly, the LISF is a superb model for the process by which the project developed and the innovation and leadership shown by the different players.

  15. Mr. Andrew Wallo, III, NE-23

    Office of Legacy Management (LM)

    300, 955 L'E~~MI Phm.SW.:. Washin@on. LX. 200242174, T~kphonc(202)48ll. 5 7117-03.87.cdy.43 23 September 1987 cA Mr. Andrew Wallo, III, NE-23 Division of Facility & Site Decommissioning Projects U.S. Department of Energy Germantown, Maryland 20545 Dear Mr. Wallo: ELIMINATION RECOMMENDATION -- COLLEGES AND UNIVERSITIES M/).0-05 pl 0.0% The attached elimination recommendation was prepared in accordance ML.05 with your suggestion during our meeting on 22 September. The recommendation flD.o-02

  16. Mr. Andrew Wallo, III, NE-23

    Office of Legacy Management (LM)

    9% L'Enfam Plaza, S, W.. Warhin@on, D.C. 2002ijl74j Tekphow (202) 488ddO 7117-03.87.cdy.'i3 23 September 1967 ~ s ~ Mr. Andrew Wallo, III, NE-23 Oivision of Facility & Site Decommissioning Projects U.S. Department of Energy Germantown, Maryland 20545 Dear Mr. Wallo: ELIMINATION RECOMMENDATION -- COLLEGES AND IJNIVFRSITIES , The attached elimination reconnnendation was prepar!ad in accordance with your suggestion during our meeting on 22 September! The recommendation includes 26 colleges and

  17. Mr. Andrew Wallo, III, NE-23

    Office of Legacy Management (LM)

    suite 7900,955 L%l/onr Plaza, S. W., Washingion, D.C. 20024.?174,, Telephone: (202) 488.~ Mr. Andrew Wallo, III, NE-23 Division of Facility & Site Decommissioning Projects U.S. Department of Energy Germantown, Maryland 20545 7117~03.87.dy.43 23 September 1987 I j / Dear Mr. Wallo: I ELIMINATION RECOMMENDATION -- COLLEGES AND UN&ITIES I . The attached elimination recommendation was prepared in accordance with your suggestion during our meeting on 22 September!. The recommend includes 26

  18. BooNE: Booster Neutrino Experiment

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Author Resources The following is a randomly ordered set of useful resources for people writing MiniBooNE publications:- Have a journal in mind when first putting together the paper. Each journal has LaTeX style files that can be downloaded from their web pages. There is a nice little LaTeX macro that will put line numbers by each line of your document. This makes it much easier for people to feedback comments on the paper. To use it just put \RequirePackage{lineno} just before the

  19. A=18Ne (1978AJ03)

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    8AJ03) (See Energy Level Diagrams for 18Ne) GENERAL: See also (1972AJ02) and Table 18.22 [Table of Energy Levels] (in PDF or PS). Model calculations: (1972EN03, 1974LO04). Electromagnetic transitions: (1970SI1J, 1972EN03, 1974LO04, 1976SH04, 1977BR03, 1977SA13). Special states: (1972EN03, 1972RA08). Muon- and pion-induced capture and reactions (See also reaction 5.): (1972MI11, 1974LI1N, 1975LI04, 1976HE1G, 1977MA2Q, 1977RO1U). Other theoretical calculations: (1970SI1J, 1972CA37, 1972RA08,

  20. CA Mr. Andrew Wallo, III, NE-23

    Office of Legacy Management (LM)

    ?9OQ, 95.5 L'E&nt Plaza, SW.. W.ashin@.m, D.C. 20024.2174, Tekphone: (202) 488AQOO 7117-03.B7.cdy.43 23 September 1987 CA Mr. Andrew Wallo, III, NE-23 Division of Facility & Site Decommissioning Projects U.S. Oepartment of Energy Germantown, Maryland 20545 Dear Mr. Wallo: ELIMINATION RECOMMENDATION -- COLLEGES AND UNIVERSITIES zh/ ! o-01 lM!tl5 ML)!o-05 PI 77!0> The attached elimination recoannendation was prepared in accordance . -1 rlL.0~ with your suggestion during our meeting on

  1. BooNE: Booster Neutrino Experiment

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Beamline Proton beam 8.89 GeV/c protons from the Fermilab Booster are incident on a beryllium target. The beam is modeled with measured mean position and angle with Gaussian smearing. MiniBooNE simulates the effects of varying the spread in the beam and different focus points of the beam. The typical proton beam contains 4 x 10¹² protons delivered in a spill approximately 1.6 µs in duration. The absolute number of protons on target (p.o.t) is measured by two toroids upstream of the target.

  2. Prospects for antineutrino running at MiniBooNE

    SciTech Connect (OSTI)

    Wascko, M.O.; /Louisiana State U.

    2006-02-01

    MiniBooNE began running in antineutrino mode on 19 January, 2006. We describe the sensitivity of MiniBooNE to LSND-like {bar {nu}}{sub e} oscillations and outline a program of antineutrino cross-section measurements necessary for the next generation of neutrino oscillation experiments. We describe three independent methods of constraining wrong-sign (neutrino) backgrounds in an antineutrino beam, and their application to the MiniBooNE antineutrino analyses.

  3. The MicroBooNE Experiment - About the Physics

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Physics Physics Goals MicroBooNE will collect neutrino interactions using the Booster Neutrino Beam at Fermilab and produce the first neutrino cross section measurements on argon in the 1 GeV energy range. MicroBooNE will also explore the currently unexplained excess of low energy electromagnetic events observed in the MiniBooNE experiment. Click here for public plots and physics distributions.

  4. A=19Ne (1959AJ76)

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    59AJ76) (See Energy Level Diagram for 19Ne) GENERAL: See also Table 19.9 [Table of Energy Levels] (in PDF or PS). Theory: See (EL55A, RE55, RE55B, RA57, RE58). 1. 19Ne(β+)19F Qm = 3.256 The positron end point is 2.18 ± 0.03 (SC52A), 2.23 ± 0.05 (AL57), 2.24 ± 0.01 MeV (WE58B). The half-life is 17.4 ± 0.2 sec (HE59), 17.7 ± 0.1 (PE57), 18.3 ± 0.5 (AL57), 18.5 ± 0.5 (SC52A), 19 ± 1 (NA54B), 19.5 ± 1.0 (WE58B), 20.3 ± 0.5 sec (WH39). The absence of low-energy γ-rays (see 19F) indicates

  5. The MicroBooNE Experiment - Getting Started

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Getting Started on MicroBooNE Welcome to MicroBooNE! This page is designed to help new MicroBooNE collaborators find their way around the experiment and Fermilab. Table of Contents Fermilab ID, Computing Accounts, and Required Training Visas for non-US Citizens Traveling to Fermilab Housing/Hotels Getting Around Communication within the Collaboration Software Getting Help Step One First, make sure the PI of your institution has sent an email to the MicroBooNE spokespeople letting them know that

  6. Perceptions of risk among households in two Australian coastal communities

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Elrick-Barr, Carmen E.; Smith, Timothy F.; Thomsen, Dana C.; Preston, Benjamin L.

    2015-04-20

    There is limited knowledge of risk perceptions in coastal communities despite their vulnerability to a range of risks including the impacts of climate change. A survey of 400 households in two Australian coastal communities, combined with semi-structured interviews, provides insight into household perceptions of the relative importance of climatic and non-climatic risks and the subsequent risk priorities that may inform household adaptive action. In contrast to previous research, the results demonstrated that geographic location and household characteristics might not affect perceptions of vulnerability to environmental hazards. However, past experience was a significant influence, raising the priority of environmental concerns. Overall,more » the results highlight the priority concerns of coastal households (from finance, to health and environment) and suggest to increase the profile of climate issues in coastal communities climate change strategies need to better demonstrate links between climate vulnerability and other household concerns. Moreover, promoting generic capacities in isolation from understanding the context in which households construe climate risks is unlikely to yield the changes required to decrease the vulnerability of coastal communities.« less

  7. Perceptions of risk among households in two Australian coastal communities

    SciTech Connect (OSTI)

    Elrick-Barr, Carmen E.; Smith, Timothy F.; Thomsen, Dana C.; Preston, Benjamin L.

    2015-04-20

    There is limited knowledge of risk perceptions in coastal communities despite their vulnerability to a range of risks including the impacts of climate change. A survey of 400 households in two Australian coastal communities, combined with semi-structured interviews, provides insight into household perceptions of the relative importance of climatic and non-climatic risks and the subsequent risk priorities that may inform household adaptive action. In contrast to previous research, the results demonstrated that geographic location and household characteristics might not affect perceptions of vulnerability to environmental hazards. However, past experience was a significant influence, raising the priority of environmental concerns. Overall, the results highlight the priority concerns of coastal households (from finance, to health and environment) and suggest to increase the profile of climate issues in coastal communities climate change strategies need to better demonstrate links between climate vulnerability and other household concerns. Moreover, promoting generic capacities in isolation from understanding the context in which households construe climate risks is unlikely to yield the changes required to decrease the vulnerability of coastal communities.

  8. Reconstructing householder vectors from Tall-Skinny QR

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Ballard, Grey Malone; Demmel, James; Grigori, Laura; Jacquelin, Mathias; Knight, Nicholas; Nguyen, Hong Diep

    2015-08-05

    The Tall-Skinny QR (TSQR) algorithm is more communication efficient than the standard Householder algorithm for QR decomposition of matrices with many more rows than columns. However, TSQR produces a different representation of the orthogonal factor and therefore requires more software development to support the new representation. Further, implicitly applying the orthogonal factor to the trailing matrix in the context of factoring a square matrix is more complicated and costly than with the Householder representation. We show how to perform TSQR and then reconstruct the Householder vector representation with the same asymptotic communication efficiency and little extra computational cost. We demonstratemore » the high performance and numerical stability of this algorithm both theoretically and empirically. The new Householder reconstruction algorithm allows us to design more efficient parallel QR algorithms, with significantly lower latency cost compared to Householder QR and lower bandwidth and latency costs compared with Communication-Avoiding QR (CAQR) algorithm. Experiments on supercomputers demonstrate the benefits of the communication cost improvements: in particular, our experiments show substantial improvements over tuned library implementations for tall-and-skinny matrices. Furthermore, we also provide algorithmic improvements to the Householder QR and CAQR algorithms, and we investigate several alternatives to the Householder reconstruction algorithm that sacrifice guarantees on numerical stability in some cases in order to obtain higher performance.« less

  9. Reconstructing householder vectors from Tall-Skinny QR

    SciTech Connect (OSTI)

    Ballard, Grey Malone; Demmel, James; Grigori, Laura; Jacquelin, Mathias; Knight, Nicholas; Nguyen, Hong Diep

    2015-08-05

    The Tall-Skinny QR (TSQR) algorithm is more communication efficient than the standard Householder algorithm for QR decomposition of matrices with many more rows than columns. However, TSQR produces a different representation of the orthogonal factor and therefore requires more software development to support the new representation. Further, implicitly applying the orthogonal factor to the trailing matrix in the context of factoring a square matrix is more complicated and costly than with the Householder representation. We show how to perform TSQR and then reconstruct the Householder vector representation with the same asymptotic communication efficiency and little extra computational cost. We demonstrate the high performance and numerical stability of this algorithm both theoretically and empirically. The new Householder reconstruction algorithm allows us to design more efficient parallel QR algorithms, with significantly lower latency cost compared to Householder QR and lower bandwidth and latency costs compared with Communication-Avoiding QR (CAQR) algorithm. Experiments on supercomputers demonstrate the benefits of the communication cost improvements: in particular, our experiments show substantial improvements over tuned library implementations for tall-and-skinny matrices. Furthermore, we also provide algorithmic improvements to the Householder QR and CAQR algorithms, and we investigate several alternatives to the Householder reconstruction algorithm that sacrifice guarantees on numerical stability in some cases in order to obtain higher performance.

  10. Projecting household energy consumption within a conditional demand framework

    SciTech Connect (OSTI)

    Teotia, A.; Poyer, D.

    1991-01-01

    Few models attempt to assess and project household energy consumption and expenditure by taking into account differential household choices correlated with such variables as race, ethnicity, income, and geographic location. The Minority Energy Assessment Model (MEAM), developed by Argonne National Laboratory (ANL) for the US Department of Energy (DOE), provides a framework to forecast the energy consumption and expenditure of majority, black, Hispanic, poor, and nonpoor households. Among other variables, household energy demand for each of these population groups in MEAM is affected by housing factors (such as home age, home ownership, home type, type of heating fuel, and installed central air conditioning unit), demographic factors (such as household members and urban/rural location), and climate factors (such as heating degree days and cooling degree days). The welfare implications of the revealed consumption patterns by households are also forecast. The paper provides an overview of the model methodology and its application in projecting household energy consumption under alternative energy scenarios developed by Data Resources, Inc., (DRI).

  11. Projecting household energy consumption within a conditional demand framework

    SciTech Connect (OSTI)

    Teotia, A.; Poyer, D.

    1991-12-31

    Few models attempt to assess and project household energy consumption and expenditure by taking into account differential household choices correlated with such variables as race, ethnicity, income, and geographic location. The Minority Energy Assessment Model (MEAM), developed by Argonne National Laboratory (ANL) for the US Department of Energy (DOE), provides a framework to forecast the energy consumption and expenditure of majority, black, Hispanic, poor, and nonpoor households. Among other variables, household energy demand for each of these population groups in MEAM is affected by housing factors (such as home age, home ownership, home type, type of heating fuel, and installed central air conditioning unit), demographic factors (such as household members and urban/rural location), and climate factors (such as heating degree days and cooling degree days). The welfare implications of the revealed consumption patterns by households are also forecast. The paper provides an overview of the model methodology and its application in projecting household energy consumption under alternative energy scenarios developed by Data Resources, Inc., (DRI).

  12. Fact #618: April 12, 2010 Vehicles per Household and Other Demographic...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    per Household and Other Demographic Statistics Fact 618: April 12, 2010 Vehicles per Household and Other Demographic Statistics Since 1969, the number of vehicles per ...

  13. "Table HC7.5 Space Heating Usage Indicators by Household Income...

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

    ,,"2005 Household Income",,,,,"Below Poverty Line","Eligible for Federal Assistance1" ... for 2005 Household Income",,,,,"Below Poverty Line","Eligible for Federal Assistance1" ...

  14. "Table HC7.12 Home Electronics Usage Indicators by Household...

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

    ,,"2005 Household Income",,,,,"Below Poverty Line","Eligible for Federal Assistance1" ... for 2005 Household Income",,,,,"Below Poverty Line","Eligible for Federal Assistance1" ...

  15. "Table HC7.10 Home Appliances Usage Indicators by Household...

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

    ,,"2005 Household Income",,,,,"Below Poverty Line","Eligible for Federal Assistance1" ... for 2005 Household Income",,,,,"Below Poverty Line","Eligible for Federal Assistance1" ...

  16. A=20Ne (1978AJ03)

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    8AJ03) (See Energy Level Diagrams for 20Ne) GENERAL: See also (1972AJ02) and Table 20.18 [Table of Energy Levels] (in PDF or PS). Shell model: (1970CR1A, 1971DE56, 1971RA1B, 1971ZO1A, 1972AB12, 1972AR1F, 1972AS13, 1972BO38, 1972BR1G, 1972JA24, 1972KA39, 1972KA67, 1972KH08, 1972KR1D, 1972KU1F, 1972LE13, 1972LE38, 1972MA07, 1972NI14, 1972RE03, 1972SA1B, 1972VO09, 1972WH04, 1973CO03, 1973DH1A, 1973EL04, 1973EN1C, 1973GI09, 1973HA05, 1973HE1F, 1973IC01, 1973IR01, 1973MA1K, 1973MC06, 1973MC1E,

  17. Fact #748: October 8, 2012 Components of Household Expenditures on

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Transportation, 1984-2010 | Department of Energy 8: October 8, 2012 Components of Household Expenditures on Transportation, 1984-2010 Fact #748: October 8, 2012 Components of Household Expenditures on Transportation, 1984-2010 The overall share of annual household expenditures for transportation was lower in 2010 than it was in 1984, reaching its lowest point in 2009 at 15.5%. In the early to mid-1980s when oil prices were high, gasoline and motor oil made up a larger share of transportation

  18. Island Wide Management Corporation

    Office of Legacy Management (LM)

    9 1986 Island Wide Management Corporation 3000 Marcus Avenue Lake Success, New York 11042 Dear Sir or Madam: I am sending you this letter and the enclosed information as you have been identified by L. I. Trinin of Glick Construction Company as the representatives of the owners of the property that was formerly the site of the Sylvania-Corning Nuclear Corporation in Bayside, New York. The Department of Energy is evaluating the radiological condition of sites that were utilized under the Manhattan

  19. NE-23 List of California Sites NE-23 Hattie Car-well, SAN/NSQA Division

    Office of Legacy Management (LM)

    NE-23 Hattie Car-well, SAN/NSQA Division Attached for your information is the list of California sites we identified in our search of Manhattdn Engineer District records for the Formerly Utilized Sites Remedial Action Program (FUSRAP). None of the facilities listed qualified"fbr'FUSRAP:'~- The only site in California,that was included in FUSRAP was Gilman Hall on the University of California-Berkeley Campus. All California sites that are in our Surplus Facilities Management Prcgram are

  20. Neutrino Scattering Results from MiniBooNE R. Tayloe, Indiana...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Neutrino Scattering Results from MiniBooNE R. Tayloe, Indiana U. ECT workshop Trento, Italy, 1211 Outline: introduction, motivation MiniBooNE experiment MiniBooNE ...

  1. Table 2. Percent of Households with Vehicles, Selected Survey...

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

    Percent of Households with Vehicles, Selected Survey Years " ,"Survey Years" ,1983,1985,1988,1991,1994,2001 "Total",85.5450237,89.00343643,88.75545852,89.42917548,87.25590956,92.08...

  2. Transferring 2001 National Household Travel Survey

    SciTech Connect (OSTI)

    Hu, Patricia S; Reuscher, Tim; Schmoyer, Richard L; Chin, Shih-Miao

    2007-05-01

    Policy makers rely on transportation statistics, including data on personal travel behavior, to formulate strategic transportation policies, and to improve the safety and efficiency of the U.S. transportation system. Data on personal travel trends are needed to examine the reliability, efficiency, capacity, and flexibility of the Nation's transportation system to meet current demands and to accommodate future demand. These data are also needed to assess the feasibility and efficiency of alternative congestion-mitigating technologies (e.g., high-speed rail, magnetically levitated trains, and intelligent vehicle and highway systems); to evaluate the merits of alternative transportation investment programs; and to assess the energy-use and air-quality impacts of various policies. To address these data needs, the U.S. Department of Transportation (USDOT) initiated an effort in 1969 to collect detailed data on personal travel. The 1969 survey was the first Nationwide Personal Transportation Survey (NPTS). The survey was conducted again in 1977, 1983, 1990, 1995, and 2001. Data on daily travel were collected in 1969, 1977, 1983, 1990 and 1995. In 2001, the survey was renamed the National Household Travel Survey (NHTS) and it collected both daily and long-distance trips. The 2001 survey was sponsored by three USDOT agencies: Federal Highway Administration (FHWA), Bureau of Transportation Statistics (BTS), and National Highway Traffic Safety Administration (NHTSA). The primary objective of the survey was to collect trip-based data on the nature and characteristics of personal travel so that the relationships between the characteristics of personal travel and the demographics of the traveler can be established. Commercial and institutional travel were not part of the survey. Due to the survey's design, data in the NHTS survey series were not recommended for estimating travel statistics for categories smaller than the combination of Census division (e.g., New England, Middle

  3. AMF Deployment, Graciosa Island, Azores

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Graciosa Island Home Data Plots and Baseline Instruments Satellite Retrievals Experiment Planning CAP-MBL Proposal Abstract and Related Campaigns Science Questions Science Plan...

  4. Ventilation Behavior and Household Characteristics in NewCalifornia Houses

    SciTech Connect (OSTI)

    Price, Phillip N.; Sherman, Max H.

    2006-02-01

    A survey was conducted to determine occupant use of windows and mechanical ventilation devices; barriers that inhibit their use; satisfaction with indoor air quality (IAQ); and the relationship between these factors. A questionnaire was mailed to a stratified random sample of 4,972 single-family detached homes built in 2003, and 1,448 responses were received. A convenience sample of 230 houses known to have mechanical ventilation systems resulted in another 67 completed interviews. Some results are: (1) Many houses are under-ventilated: depending on season, only 10-50% of houses meet the standard recommendation of 0.35 air changes per hour. (2) Local exhaust fans are under-utilized. For instance, about 30% of households rarely or never use their bathroom fan. (3) More than 95% of households report that indoor air quality is ''very'' or ''somewhat'' acceptable, although about 1/3 of households also report dustiness, dry air, or stagnant or humid air. (4) Except households where people cook several hours per week, there is no evidence that households with significant indoor pollutant sources get more ventilation. (5) Except households containing asthmatics, there is no evidence that health issues motivate ventilation behavior. (6) Security and energy saving are the two main reasons people close windows or keep them closed.

  5. An accumulator/compressor ring for Ne+ ions (Conference) | SciTech...

    Office of Scientific and Technical Information (OSTI)

    An accumulatorcompressor ring for Ne+ ions Citation Details In-Document Search Title: An accumulatorcompressor ring for Ne+ ions The primary goal of the High Energy Density ...

  6. Djurcic_MiniBooNE_NuFact2011

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Report Zelimir Djurcic Argonne National Laboratory NuFact2011: 13th International Workshop on Neutrino Factories, Super Beams and Beta Beams August 1-6, 2011. Geneva, Switzerland 1 Outline * MiniBooNE Experiment Description * MiniBooNE s Neutrino Results * (New) MiniBooNE s Anti-neutrino Results * Summary 2 This signal looks very different from the others... * Much higher !m 2 = 0.1 - 10 eV 2 * Much smaller mixing angle * Only one experiment! In SM there are only 3 neutrinos !m 13 !m 12 !m 23 2

  7. MiniBooNE Numu/Numubar Disappearance Data Release

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    A Search for muon neutrino and antineutrino disappearance in MiniBooNE", arXiv:0903.2465 [hep-ex], Phys. Rev. Lett. 103, 061802 (2009) The following MiniBooNE information from the 2009 numu and numubar disappearance paper is made available to the public: Numu Disappearance ntuple file of MiniBooNE numu 90% confidence level sensitivity as a function of Dm2, for a 2-neutrino numu -> nux ocillation fit. The file contains 141 rows, with two columns: Dm2 value in the range 0.4 < Dm2 (eV2)

  8. DOE-NE-STD-1004-92 | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    NE-STD-1004-92 DOE-NE-STD-1004-92 July 27, 2005 Root Cause Analysis Guidance Document Standard became Inactive This document is a guide for root cause analysis specified by DOE Order 5000.3A, "Occurrence Reporting and Processing of Operations Information." Causal factors identify program control deficiencies and guide early corrective actions. As such, root cause analysis is central to DOE Order 5000.3A. DOE-NE-STD-1004-92, Root Cause Analysis Guidance Document (689.62 KB) More

  9. Enjebi Island dose assessment

    SciTech Connect (OSTI)

    Robison, W.L.; Conrado, C.L.; Phillips, W.A.

    1987-07-01

    We have updeated the radiological dose assessment for Enjebi Island at Enewetak Atoll using data derived from analysis of food crops grown on Enjebi. This is a much more precise assessment of potential doses to people resettling Enjebi Island than the 1980 assessment in which there were no data available from food crops on Enjebi. Details of the methods and data used to evaluate each exposure pathway are presented. The terrestrial food chain is the most significant potential exposure pathway and /sup 137/Cs is the radionuclide responsible for most of the estimated dose over the next 50 y. The doses are calculated assuming a resettlement date of 1990. The average wholebody maximum annual estimated dose equivalent derived using our diet model is 166 mremy;the effective dose equivalent is 169 mremy. The estimated 30-, 50-, and 70-y integral whole-body dose equivalents are 3.5 rem, 5.1 rem, and 6.2 rem, respectively. Bone-marrow dose equivalents are only slightly higher than the whole-body estimates in each case. The bone-surface cells (endosteal cells) receive the highest dose, but they are a less sensitive cell population and are less sensitive to fatal cancer induction than whole body and bone marrow. The effective dose equivalents for 30, 50, and 70 y are 3.6 rem, 5.3 rem, and 6.6 rem, respectively. 79 refs., 17 figs., 24 tabs

  10. Fact #618: April 12, 2010 Vehicles per Household and Other Demographic

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Statistics | Department of Energy 8: April 12, 2010 Vehicles per Household and Other Demographic Statistics Fact #618: April 12, 2010 Vehicles per Household and Other Demographic Statistics Since 1969, the number of vehicles per household has increased by 66% and the number of vehicles per licensed driver has increased by 47%. The number of workers per household has changed the least of the statistics shown here. There has been a decline in the number of persons per household from 1969 to