National Library of Energy BETA

Sample records for area probability sample

  1. Sampling with unequal probabilities and without replacement 

    E-Print Network [OSTI]

    Kleibrink, Ronald Gus

    1966-01-01

    . 6105 . 5161 . 6210 9 1. 0000 1. 0000 1. 0000 1. 0000 ~ 1796 . 5217 . 7073 . 6105 . 5161 . 5889 Specifically the normalized sizes and cumulative normalized. sizes are defined. as (3. 6) pi = n. xi/X so that N (3. 7) Z p = n 1=1 (3. 8) Pi = E p J... to have given the first general theory for sampling with unequal probabilities and without replacement. They used. as an estimate of the population total I for N units, the standard unbiased estimator A n (1 ' 1) I = Z (y / 77 ) i=3 where 77...

  2. 200 area TEDF sample schedule

    SciTech Connect (OSTI)

    Brown, M.J.

    1995-03-22

    This document summarizes the sampling criteria associated with the 200 Area Treatment Effluent Facility (TEDF) that are needed to comply with the requirements of the Washington State Discharge Permit No. WA ST 4502 and good engineering practices at the generator streams that feed into TEDF. In addition, this document Identifies the responsible parties for both sampling and data transference.

  3. Varying Probability Sampling The simple random sampling scheme provides a random sample where every unit in the population has

    E-Print Network [OSTI]

    Shalabh

    where every unit in the population has equal probability of selection. Under certain circumstances, more efficient estimators are obtained by assigning unequal probabilities of selection to the units scheme, the units are selected with probability proportional to the value of X, called as size

  4. Water Sampling At Valles Caldera - Sulphur Springs Area (Rao...

    Open Energy Info (EERE)

    Water Sampling At Valles Caldera - Sulphur Springs Area (Rao, Et Al., 1996) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Water Sampling At...

  5. Water Sampling At Long Valley Caldera Geothermal Area (Evans...

    Open Energy Info (EERE)

    Water Sampling At Long Valley Caldera Geothermal Area (Evans, Et Al., 2002) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Water Sampling At...

  6. Water Sampling At Valley Of Ten Thousand Smokes Region Area ...

    Open Energy Info (EERE)

    Water Sampling At Valley Of Ten Thousand Smokes Region Area (Keith, Et Al., 1992) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Water Sampling...

  7. Water Sampling At Long Valley Caldera Geothermal Area (Sorey...

    Open Energy Info (EERE)

    Water Sampling At Long Valley Caldera Geothermal Area (Sorey, Et Al., 1991) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Water Sampling At...

  8. Water Sampling At Valles Caldera - Redondo Geothermal Area (Goff...

    Open Energy Info (EERE)

    Water Sampling At Valles Caldera - Redondo Geothermal Area (Goff, Et Al., 1982) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Water Sampling At...

  9. Surface Gas Sampling At Fenton Hill HDR Geothermal Area (Goff...

    Open Energy Info (EERE)

    Surface Gas Sampling At Fenton Hill HDR Geothermal Area (Goff & Janik, 2002) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Surface Gas Sampling...

  10. Surface Gas Sampling At Valles Caldera - Redondo Area (Goff ...

    Open Energy Info (EERE)

    Surface Gas Sampling At Valles Caldera - Redondo Area (Goff & Janik, 2002) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Surface Gas Sampling...

  11. Soil Sampling At Long Valley Caldera Geothermal Area (Klusman...

    Open Energy Info (EERE)

    Soil Sampling At Long Valley Caldera Geothermal Area (Klusman & Landress, 1979) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Soil Sampling At...

  12. Soil Sampling At Waunita Hot Springs Geothermal Area (Ringrose...

    Open Energy Info (EERE)

    Soil Sampling At Waunita Hot Springs Geothermal Area (Ringrose & Pearl, 1981) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Soil Sampling At...

  13. 100 Area Columbia River sediment sampling

    SciTech Connect (OSTI)

    Weiss, S.G. [Westinghouse Hanford Co., Richland, WA (United States)

    1993-09-08

    Forty-four sediment samples were collected from 28 locations in the Hanford Reach of the Columbia River to assess the presence of metals and man-made radionuclides in the near shore and shoreline settings of the Hanford Site. Three locations were sampled upriver of the Hanford Site plutonium production reactors. Twenty-two locations were sampled near the reactors. Three locations were sampled downstream of the reactors near the Hanford Townsite. Sediment was collected from depths of 0 to 6 in. and between 12 to 24 in. below the surface. Samples containing concentrations of metals exceeding the 95 % upper threshold limit values (DOE-RL 1993b) are considered contaminated. Contamination by arsenic, chromium, copper, lead, and zinc was found. Man-made radionuclides occur in all samples except four collected opposite the Hanford Townsite. Man-made radionuclide concentrations were generally less than 1 pCi/g.

  14. Water Sampling At Mt Princeton Hot Springs Geothermal Area (Olson...

    Open Energy Info (EERE)

    Water Sampling At Mt Princeton Hot Springs Geothermal Area (Olson & Dellechaie, 1976) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Water...

  15. Water-Gas Samples At Valles Caldera - Redondo Geothermal Area...

    Open Energy Info (EERE)

    Water-Gas Samples At Valles Caldera - Redondo Geothermal Area (Janik & Goff, 2002) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Water-Gas...

  16. Surface Gas Sampling At Fenton Hill HDR Geothermal Area (Grigsby...

    Open Energy Info (EERE)

    Surface Gas Sampling At Fenton Hill HDR Geothermal Area (Grigsby, Et Al., 1983) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Surface Gas...

  17. Surface Gas Sampling At Lassen Volcanic National Park Area (Janik...

    Open Energy Info (EERE)

    Surface Gas Sampling At Lassen Volcanic National Park Area (Janik & Mclaren, 2010) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Surface Gas...

  18. Surface Gas Sampling At International Geothermal Area Mexico...

    Open Energy Info (EERE)

    Surface Gas Sampling At International Geothermal Area Mexico (Norman, Et Al., 2002) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Surface Gas...

  19. Surface Gas Sampling At Valles Caldera - Sulphur Springs Area...

    Open Energy Info (EERE)

    Surface Gas Sampling At Valles Caldera - Sulphur Springs Area (Goff & Janik, 2002) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Surface Gas...

  20. Rock Sampling At San Francisco Volcanic Field Area (Warpinski...

    Open Energy Info (EERE)

    geologically mapped the target area, obtained rock samples for age dating and mineral chemistry, performed gravity and magnetic surveys, and integrated these results to identify...

  1. Low Probability Tail Event Analysis and Mitigation in BPA Control Area: Task 2 Report

    SciTech Connect (OSTI)

    Lu, Shuai; Makarov, Yuri V.; McKinstry, Craig A.; Brothers, Alan J.; Jin, Shuangshuang

    2009-09-18

    Task report detailing low probability tail event analysis and mitigation in BPA control area. Tail event refers to the situation in a power system when unfavorable forecast errors of load and wind are superposed onto fast load and wind ramps, or non-wind generators falling short of scheduled output, causing the imbalance between generation and load to become very significant.

  2. Calculating Confidence, Uncertainty, and Numbers of Samples When Using Statistical Sampling Approaches to Characterize and Clear Contaminated Areas

    SciTech Connect (OSTI)

    Piepel, Gregory F.; Matzke, Brett D.; Sego, Landon H.; Amidan, Brett G.

    2013-04-27

    This report discusses the methodology, formulas, and inputs needed to make characterization and clearance decisions for Bacillus anthracis-contaminated and uncontaminated (or decontaminated) areas using a statistical sampling approach. Specifically, the report includes the methods and formulas for calculating the • number of samples required to achieve a specified confidence in characterization and clearance decisions • confidence in making characterization and clearance decisions for a specified number of samples for two common statistically based environmental sampling approaches. In particular, the report addresses an issue raised by the Government Accountability Office by providing methods and formulas to calculate the confidence that a decision area is uncontaminated (or successfully decontaminated) if all samples collected according to a statistical sampling approach have negative results. Key to addressing this topic is the probability that an individual sample result is a false negative, which is commonly referred to as the false negative rate (FNR). The two statistical sampling approaches currently discussed in this report are 1) hotspot sampling to detect small isolated contaminated locations during the characterization phase, and 2) combined judgment and random (CJR) sampling during the clearance phase. Typically if contamination is widely distributed in a decision area, it will be detectable via judgment sampling during the characterization phrase. Hotspot sampling is appropriate for characterization situations where contamination is not widely distributed and may not be detected by judgment sampling. CJR sampling is appropriate during the clearance phase when it is desired to augment judgment samples with statistical (random) samples. The hotspot and CJR statistical sampling approaches are discussed in the report for four situations: 1. qualitative data (detect and non-detect) when the FNR = 0 or when using statistical sampling methods that account for FNR > 0 2. qualitative data when the FNR > 0 but statistical sampling methods are used that assume the FNR = 0 3. quantitative data (e.g., contaminant concentrations expressed as CFU/cm2) when the FNR = 0 or when using statistical sampling methods that account for FNR > 0 4. quantitative data when the FNR > 0 but statistical sampling methods are used that assume the FNR = 0. For Situation 2, the hotspot sampling approach provides for stating with Z% confidence that a hotspot of specified shape and size with detectable contamination will be found. Also for Situation 2, the CJR approach provides for stating with X% confidence that at least Y% of the decision area does not contain detectable contamination. Forms of these statements for the other three situations are discussed in Section 2.2. Statistical methods that account for FNR > 0 currently only exist for the hotspot sampling approach with qualitative data (or quantitative data converted to qualitative data). This report documents the current status of methods and formulas for the hotspot and CJR sampling approaches. Limitations of these methods are identified. Extensions of the methods that are applicable when FNR = 0 to account for FNR > 0, or to address other limitations, will be documented in future revisions of this report if future funding supports the development of such extensions. For quantitative data, this report also presents statistical methods and formulas for 1. quantifying the uncertainty in measured sample results 2. estimating the true surface concentration corresponding to a surface sample 3. quantifying the uncertainty of the estimate of the true surface concentration. All of the methods and formulas discussed in the report were applied to example situations to illustrate application of the methods and interpretation of the results.

  3. Water-Gas Samples At Long Valley Caldera Geothermal Area (Farrar...

    Open Energy Info (EERE)

    Water-Gas Samples At Long Valley Caldera Geothermal Area (Farrar, Et Al., 2003) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Water-Gas Samples...

  4. Water Sampling At Long Valley Caldera Geothermal Area (McKenzie...

    Open Energy Info (EERE)

    Water Sampling At Long Valley Caldera Geothermal Area (McKenzie & Truesdell, 1977) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Water Sampling...

  5. Water-Gas Sampling At Fenton Hill HDR Geothermal Area (Janik...

    Open Energy Info (EERE)

    Water-Gas Sampling At Fenton Hill HDR Geothermal Area (Janik & Goff, 2002) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Water-Gas Sampling At...

  6. Soil Sampling At Valley Of Ten Thousand Smokes Region Area (Kodosky...

    Open Energy Info (EERE)

    Soil Sampling At Valley Of Ten Thousand Smokes Region Area (Kodosky & Keith, 1993) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Soil Sampling...

  7. Gas Flux Sampling At Dixie Valley Geothermal Area (Iovenitti...

    Open Energy Info (EERE)

    of the geothermal area. Ultimately for potential development of EGS. Notes A CO2 soil gas flux survey was conducted in areas recognized as geothermal upflow zones within the...

  8. Groundwater Sampling At Kilauea East Rift Geothermal Area (Cox...

    Open Energy Info (EERE)

    can be a useful geochemical indicator for geothermal exploration when other water chemistry techniques are ambiguous. This research was useful for locating some areas which...

  9. Gas Flux Sampling At Long Valley Caldera Geothermal Area (Bergfeld...

    Open Energy Info (EERE)

    - 2006 Usefulness useful DOE-funding Unknown Notes "A survey of diffuse CO2 efflux, soil temperature and soil-gas chemistry over areas of localized vegetation-kill on and...

  10. Rock Sampling At Roosevelt Hot Springs Geothermal Area (Ward...

    Open Energy Info (EERE)

    Area. References S. H. Ward, W. T. Parry, W. P. Nash, W. R. Sill, K. L. Cook, R. B. Smith, D. S. Chapman, F. H. Brown, J. A. Whelan, J. R. Bowman (1978) A Summary of the...

  11. Gas Sampling At Wister Area (DOE GTP) | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QAsource History View New PagesSustainable UrbanKentucky: Energy ResourcesMaui Area (DOEMaui Area (DOE

  12. Gas Sampling At Wister Area (DOE GTP) | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QAsource History View New PagesSustainable UrbanKentucky: Energy ResourcesMaui Area (DOEMaui Area (DOE

  13. 200 Area TEDF effluent sampling and analysis plan

    SciTech Connect (OSTI)

    Alaconis, W.C.; Ballantyne, N.A.; Boom, R.J. [and others

    1995-06-01

    This sampling analysis sets forth the effluent sampling requirements, analytical methods, statistical analyses, and reporting requirements to satisfy the State Waste Discharge Permit No. ST4502 for the Treated Effluent Disposal Facility. These requirements are listed below: Determine the variability in the effluent of all constituents for which enforcement limits, early warning values and monitoring requirements; demonstrate compliance with the permit; and verify that BAT/AKART (Best Available Technology/All know and Reasonable Treatment) source, treatment, and technology controls are being met.

  14. Gas Sampling At Maui Area (DOE GTP) | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QAsource History View New PagesSustainable UrbanKentucky: Energy ResourcesMaui Area (DOEMaui Area (DOE GTP) Jump to:

  15. 400 area secondary cooling water sampling and analysis plan

    SciTech Connect (OSTI)

    Penn, L.L.

    1996-10-29

    This is a total rewrite of the Sampling and Analysis Plan in response to, and to ensure compliance with, the State Waste Discharge Permit ST 4501 issued on July 31, 1996. This revision describes changes in facility status and implements requirements of the permit.

  16. probability distributions

    E-Print Network [OSTI]

    Heller, Barbara

    probabilities in the standard normal table What is the area to the left of Z=1.51 in a standard normal curve? Z=1.51 Z=1.51 Area is 93.45% #12;Exercises · If scores are normally distributed with a mean of 30 beauty of the normal curve: No matter what and are, the area between - and + is about 68%; the area

  17. Gas Sampling At Colrado Area (DOE GTP) | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QAsource History View New PagesSustainable UrbanKentucky: Energy ResourcesMaui Area (DOE GTP)EnergyWith

  18. Gas Sampling At Colrado Area (DOE GTP) | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QAsource History View New PagesSustainable UrbanKentucky: Energy ResourcesMaui Area (DOE GTP)EnergyWith(Redirected

  19. Water Sampling At Waunita Hot Springs Geothermal Area (Carpenter, 1981) |

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION JEnvironmental Jump to:EA EISTJThinWarsaw, Poland:Energy Information Area (Rao, Et

  20. 300 AREA PACIFIC NORTHWEST NATIONAL LABORATORY FACILITY RADIONUCLIDE EMISSION POINTS AND SAMPLING SYSTEMS

    SciTech Connect (OSTI)

    Barfuss, Brad C.; Barnett, J. M.; Harbinson, L Jill

    2006-08-28

    Radionuclide emission points for 300 Area and Battelle Private facilities are presented herein. The sampling systems and associated emission specifics are detailed.

  1. Water-Gas Samples At Fenton Hill Hdr Geothermal Area (Goff &...

    Open Energy Info (EERE)

    Get Involved Help Apps Datasets Community Login | Sign Up Search Page Edit History Water-Gas Samples At Fenton Hill Hdr Geothermal Area (Goff & Janik, 2002) Redirect page Jump to:...

  2. Reduced Area Discrete-Time Down-Sampling Filter Embedded With Windowed Integration Samplers 

    E-Print Network [OSTI]

    Raviprakash, Karthik

    2010-10-12

    . Currently existing topologies use large numbers of switches and capacitors which occupy a lot of area.A novel technique in reducing die area on a discrete-time sinc2 ?2 filter for charge sampling is proposed. An SNR comparison of the conventional...

  3. June 2012 Groundwater Sampling at the Central Nevada Test Area (Data Validation Package)

    SciTech Connect (OSTI)

    2013-03-01

    The U.S. Department of Energy Office of Legacy Management conducted annual sampling at the Central Nevada Test Area (CNTA) on June 26-27, 2012, in accordance with the 2004 Correction Action Decision Document/Corrective Action Plan for Corrective Action Unit 443: Central Nevada Test Area (CNTA)-Subsurface and the addendum to the "Corrective Action Decision Document/Corrective Action Plan" completed in 2008. Sampling and analysis were conducted as specified in the Sampling and Analysis Plan for U.S. Department of Energy Office of Legacy Management Sites (LMS/PLN/S04351), continually updated).

  4. May 2011 Groundwater Sampling at the Central Nevada Test Area (Data Validation Package)

    SciTech Connect (OSTI)

    None

    2011-11-01

    The U.S. Department of Energy Office of Legacy Management conducted annual sampling at the Central Nevada Test Area (CNTA) on May 10-11, 2011, in accordance with the 2004 Correction Action Decision Document/Corrective Action Plan for Corrective Action Unit 443: Central Nevada Test Area (CNTA)-Subsurface and the addendum to the "Corrective Action Decision Document/Corrective Action Plan" completed in 2008. Sampling and analysis were conducted as specified in the Sampling and Analysis Plan for U.S. Department of Energy Office of Legacy Management Sites (LMS/PLN/S04351), continually updated).

  5. May 2010 Groundwater Sampling at the Central Nevada Test Area (Data Validation Package)

    SciTech Connect (OSTI)

    None

    2011-02-01

    The U.S. Department of Energy Office of Legacy Management conducted annual sampling at the Central Nevada Test Area (CNTA) on June 7-9, 2010, in accordance with the 2004 Correction Action Decision Document/Corrective Action Plan for Corrective Action Unit 443: Central Nevada Test Area (CNTA)-Subsurface. Sampling and analysis were conducted as specified in the Sampling and Analysis Plan for U.S. Department of Energy Office of Legacy Management Sites (LMS/PLN/S04351), continually updated).

  6. False-alarm probability in relation to over-sampled power spectra, with application to Super-Kamiokande solar neutrino data

    E-Print Network [OSTI]

    Peter A. Sturrock; Jeffrey D. Scargle

    2010-06-03

    The term "false-alarm probability" denotes the probability that at least one out of M independent power values in a prescribed search band of a power spectrum computed from a white-noise time series is expected to be as large as or larger than a given value. The usual formula is based on the assumption that powers are distributed exponentially, as one expects for power measurements of normally distributed random noise. However, in practice one typically examines peaks in an over-sampled power spectrum. It is therefore more appropriate to compare the strength of a particular peak with the distribution of peaks in over-sampled power spectra derived from normally distributed random noise. We show that this leads to a formula for the false-alarm probability that is more conservative than the familiar formula. We also show how to combine these results with a Bayesian method for estimating the probability of the null hypothesis (that there is no oscillation in the time series), and we discuss as an example the application of these procedures to Super-Kamiokande solar neutrino data.

  7. Geochemistry of Background Sediment Samples at Technical Area 39, Los Alamos National Laboratory

    SciTech Connect (OSTI)

    Eric V. McDonald; Katherine Campbell; Patrick A. Longmire; Steven L. Reneau

    1998-11-01

    This report presents results of chemical analyses of 24 analytes in 16 background sediment samples collected from Ancho Canyon and Indio Canyon at Technical Area (TA) 39, Los Alamos National Laboratory. Preliminary upper tolerance limits (UTLS) for sediments are calculated from this data set but, because of the small sample size, these UTLs exceed the maximum values in the data set by up to 50'ZO and will require revision as more background sediment data are obtained.

  8. 200 Area Treated Effluent Disposal Facility (TEDF) Effluent Sampling and Analysis Plan

    SciTech Connect (OSTI)

    BROWN, M.J.

    2000-05-18

    This Sampling and Analysis Plan (SAP) has been developed to comply with effluent monitoring requirements at the 200 Area Treated Effluent Disposal Facility (TEDF), as stated in Washington State Waste Discharge Permit No. ST 4502 (Ecology 2000). This permit, issued by the Washington State Department of Ecology (Ecology) under the authority of Chapter 90.48 Revised Code of Washington (RCW) and Washington Administrative Code (WAC) Chapter 173-216, is an April 2000 renewal of the original permit issued on April 1995.

  9. Reverse mapping of normal tissue complication probabilities onto dose volume histogram space: The problem of randomness of the dose volume histogram sampling

    SciTech Connect (OSTI)

    Markov, Krassimir; Schinkel, Colleen; Stavreva, Nadia; Stavrev, Pavel; Weldon, Michael; Fallone, B. Gino [Department of Medical Physics, Cross Cancer Institute, 11560 University Avenue, Edmonton, Alberta, T6G1Z2 (Canada); Department of Physics, University of Alberta, and Department of Medical Physics, Cross Cancer Institute, 11560 University Avenue, Edmonton, Alberta, T6G1Z2 (Canada); Department of Medical Physics, Cross Cancer Institute, 11560 University Avenue, Edmonton, Alberta, T6G1Z2 (Canada); Department of Medical Physics, Cross Cancer Institute, 11560 University Avenue, Edmonton, Alberta, T6G1Z2 (Canada); Department of Physics, University of Alberta, and Department of Medical Physics, Cross Cancer Institute, 11560 University Avenue, Edmonton, Alberta, T6G1Z2 (Canada); Departments of Physics and Oncology, University of Alberta, and Department of Medical Physics, Cross Cancer Institute, 11560 University Avenue, Edmonton, Alberta, T6G1Z2 (Canada)

    2006-09-15

    A very important issue in contemporary inverse treatment radiotherapy planning is the specification of proper dose-volume constraints limiting the treatment planning algorithm from delivering high doses to the normal tissue surrounding the tumor. Recently we have proposed a method called reverse mapping of normal tissue complication probabilities (NTCP) onto dose-volume histogram (DVH) space, which allows the calculation of appropriate biologically based dose-volume constraints to be used in the inverse treatment planning. The method of reverse mapping requires random sampling from the functional space of all monotonically decreasing functions in the unit square. We develop, in this paper, a random function generator for the purpose of the reverse mapping. Since the proposed generator is based on the theory of random walk, it is therefore designated in this work, as a random walk DVH generator. It is theoretically determined that the distribution of the number of monotonically decreasing functions passing through a point in the dose volume histogram space follows the hypergeometric distribution. The proposed random walk DVH generator thus simulates, in a random fashion, trajectories of monotonically decreasing functions (finite series) that are situated in the unit square [0,1]x[1,0] using the hypergeometric distribution. The DVH generator is an important tool in the study of reverse NTCP mapping for the calculation of biologically based dose-volume constraints for inverse treatment planning.

  10. Inter-Areas Component of the River Corridor Baseline Risk Assessment Sampling Summary

    SciTech Connect (OSTI)

    J. M. Queen

    2008-02-19

    This report describes the sampling locations, identifies samples collected, and describes any modifications and additions made to the DOE/RL-2005-42.

  11. WIPP Sampling and Analysis Plan for Solid Waste Management Units and Areas of Concern.

    SciTech Connect (OSTI)

    Washington TRU Solutions LLC

    2000-05-23

    This Sampling and Analysis Plan (SAP) has been prepared to fulfill requirements of Module VII, Section VII.M.2 and Table VII.1, requirement 4 of the Waste Isolation Pilot Plant (WIPP) Hazardous Waste Permit, NM4890139088-TSDF (the Permit); (NMED [New Mexico Environment Department], 1999a). This SAP describes the approach for investigation of the Solid Waste Management Units (SWMU) and Areas of Concern (AOC) specified in the Permit. This SAP addresses the current Permit requirements for a RCRA Facility Investigation(RFI) investigation of SWMUs and AOCs. It uses the results of previous investigations performed at WIPP and expands the investigations as required by the Permit. As an alternative to the RFI specified in Module VII of the Permit, current NMED guidance identifies an Accelerated Corrective Action Approach (ACAA) that may be used for any SWMU or AOC (NMED, 1998). This accelerated approach is used to replace the standard RFI work plan and report sequence with a more flexible decision-making approach. The ACAA process allows a facility to exit the schedule of compliance contained in the facility's Hazardous and Solid Waste Amendments (HSWA) permit module and proceed on an accelerated time frame. Thus, the ACAA process can beentered either before or after a RFI work plan. According to NMED's guidance, a facility can prepare a RFI work plan or SAP for any SWMU or AOC (NMED, 1998).

  12. Summary of the 1987 soil sampling effort at the Idaho National Engineering Laboratory Test Reactor Area Paint Shop Ditch

    SciTech Connect (OSTI)

    Wood, T.R.; Knight, J.L.; Hertzler, C.L.

    1989-08-01

    Sampling of the Test Reactor Area (TRA) Paint Shop Ditch at the Idaho National Engineering Laboratory was initiated in compliance with the Interim Agreement between the Department of Energy (DOE) and the Environmental Protection Agency (EPA). Sampling of the TRA Paint Shop Ditch was done as part of the Action Plan to achieve and maintain compliance with the Resource Conservation and Recovery Act (RCRA) and applicable regulations. It is the purpose of this document to provide a summary of the July 6, 1987 sampling activities that occurred in ditch west of Building TRA-662, which housed the TRA Paint Shop in 1987. This report will give a narrative description of the field activities, locations of collected samples, discuss the sampling procedures and the chemical analyses. Also included in the scope of this report is to bring together data and reports on the TRA Paint Shop Ditch for archival purposes. 6 refs., 10 figs., 8 tabs.

  13. FY17 Scope of Work Aggregate Areas Phase I Nature & Extent Sampling

    Office of Environmental Management (EM)

    Phase I Nature & Extent Sampling | Environmental Programs | Email: envoutreach@lanl.gov Web: www.lanl.govenvironment LA-UR-15-22015 The Laboratory determines nature and extent of...

  14. Gas Sampling At Rye Patch Area (DOE GTP, 2011) | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QAsource History View New PagesSustainable UrbanKentucky: Energy ResourcesMaui Area (DOEMaui Area (DOE GTP) Jump

  15. Gas Sampling At Valles Caldera - Sulphur Springs Geothermal Area (Janik &

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QAsource History View New PagesSustainable UrbanKentucky: Energy ResourcesMaui Area (DOEMaui Area (DOE GTP)

  16. Gas Flux Sampling At Mccoy Geothermal Area (DOE GTP) | Open Energy

    Open Energy Info (EERE)

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  17. Gas Flux Sampling At Olowalu-Ukumehame Canyon Area (Thomas, 1986) | Open

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QAsource History View New PagesSustainable UrbanKentucky: Energy ResourcesMaui Area (DOE GTP)

  18. Gas Sampling At Gabbs Valley Area (DOE GTP) | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QAsource History View New PagesSustainable UrbanKentucky: Energy ResourcesMaui Area (DOE

  19. Gas Sampling At Glass Buttes Area (DOE GTP) | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QAsource History View New PagesSustainable UrbanKentucky: Energy ResourcesMaui Area (DOE

  20. Rock Sampling At Mt Ranier Area (Frank, 1995) | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page onRAPID/Geothermal/Exploration/ColoradoRemsenburg-Speonk, NewMichigan: Energy Resources JumpMt Ranier Area (Frank, 1995)

  1. Rock Sampling At Roosevelt Hot Springs Geothermal Area (Ward, Et Al., 1978)

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page onRAPID/Geothermal/Exploration/ColoradoRemsenburg-Speonk, NewMichigan: Energy Resources JumpMt Ranier Area (Frank, 1995)|

  2. Rock Sampling At San Francisco Volcanic Field Area (Warpinski, Et Al.,

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page onRAPID/Geothermal/Exploration/ColoradoRemsenburg-Speonk, NewMichigan: Energy Resources JumpMt Ranier Area (Frank,

  3. Rock Sampling At Seven Mile Hole Area (Larson, Et Al., 2009) | Open Energy

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page onRAPID/Geothermal/Exploration/ColoradoRemsenburg-Speonk, NewMichigan: Energy Resources JumpMt Ranier Area

  4. Rock Sampling At Socorro Mountain Area (Armstrong, Et Al., 1995) | Open

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page onRAPID/Geothermal/Exploration/ColoradoRemsenburg-Speonk, NewMichigan: Energy Resources JumpMt Ranier AreaEnergy

  5. Data Package of Samples Collected for Hydrogeologic and Geochemical Characterization: 300 Area RI/FS Sediment Cores

    SciTech Connect (OSTI)

    Lindberg, Michael J.; Bjornstad, Bruce N.; Lanigan, David C.; Williams, Benjamin D.

    2011-05-01

    This is a data package for sediment samples received from the 300 FF 5 OU. This report was prepared for CHPRC. Between August 16, 2010 and April 25, 2011 sediment samples were received from 300-FF-5 for geochemical studies. The analyses for this project were performed at the 331 building located in the 300 Area of the Hanford Site. The analyses were performed according to Pacific Northwest National Laboratory (PNNL) approved procedures and/or nationally recognized test procedures. The data sets include the sample identification numbers, analytical results, estimated quantification limits (EQL), and quality control data. The preparatory and analytical quality control requirements, calibration requirements, acceptance criteria, and failure actions are defined in the on-line QA plan 'Conducting Analytical Work in Support of Regulatory Programs' (CAW). This QA plan implements the Hanford Analytical Services Quality Assurance Requirements Documents (HASQARD) for PNNL.

  6. Gas Flux Sampling At Maui Area (DOE GTP) | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QAsource History View New PagesSustainable UrbanKentucky: Energy ResourcesMaui Area (DOE GTP) Jump to: navigation,

  7. Gas Flux Sampling At Mauna Loa Northeast Rift Area (Thomas, 1986) | Open

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QAsource History View New PagesSustainable UrbanKentucky: Energy ResourcesMaui Area (DOE GTP) Jump to:

  8. Gas Flux Sampling At Mokapu Penninsula Area (Thomas, 1986) | Open Energy

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QAsource History View New PagesSustainable UrbanKentucky: Energy ResourcesMaui Area (DOE GTP) JumpInformation

  9. Gas Flux Sampling At Socorro Mountain Area (Owens, Et Al., 2005) | Open

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QAsource History View New PagesSustainable UrbanKentucky: Energy ResourcesMaui Area (DOE GTP)Energy Information

  10. Gas Flux Sampling At Steamboat Springs Area (Lechler And Coolbaugh, 2007) |

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QAsource History View New PagesSustainable UrbanKentucky: Energy ResourcesMaui Area (DOE GTP)Energy

  11. Gas Sampling At Black Warrior Area (DOE GTP) | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QAsource History View New PagesSustainable UrbanKentucky: Energy ResourcesMaui Area (DOE GTP)EnergyWith GasesBlack

  12. Soil Sampling At North Brawley Geothermal Area (Alan & G., 1977) | Open

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page| Open Energy Information Serbia-Enhancing Capacity forSilicium deEnergy Information North Brawley Geothermal Area

  13. Soil Sampling At Mccoy Geothermal Area (DOE GTP) | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION JEnvironmental Jump to:EA EIS ReportEurope GmbH JumpSlough HeatMccoy Geothermal Area (DOE GTP) Jump

  14. Water Sampling At Valles Caldera - Redondo Area (Rao, Et Al., 1996) | Open

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION JEnvironmental Jump to:EA EISTJThinWarsaw, Poland:Energy Information Area (Rao, Et Al., 1996)

  15. Water Sampling At Valley Of Ten Thousand Smokes Region Area (Keith, Et Al.,

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION JEnvironmental Jump to:EA EISTJThinWarsaw, Poland:Energy Information Area (Rao, Et Al.,

  16. Water Sampling At Zim's Hot Springs Geothermal Area (Wood, 2002) | Open

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION JEnvironmental Jump to:EA EISTJThinWarsaw, Poland:Energy Information Area (Rao,Energy

  17. Water-Gas Samples At Long Valley Caldera Area (Goff & Janik, 2002) | Open

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION JEnvironmental Jump to:EA EISTJThinWarsaw, Poland:Energy Information AreaEnergy Information

  18. Water-Gas Samples At Valles Caldera - Redondo Geothermal Area (Janik &

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION JEnvironmental Jump to:EA EISTJThinWarsaw, Poland:Energy Information AreaEnergy

  19. Water-Gas Sampling At Fenton Hill HDR Geothermal Area (Janik & Goff, 2002)

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION JEnvironmental Jump to:EA EISTJThinWarsaw, Poland:Energy Information AreaEnergy| Open Energy

  20. Hydrocarbon Film Deposition Inside Cavity Samples in Remote Areas of the JET Divertor During the 1999-2001 and 2005-2009 Campaigns

    E-Print Network [OSTI]

    Hydrocarbon Film Deposition Inside Cavity Samples in Remote Areas of the JET Divertor During the 1999-2001 and 2005-2009 Campaigns

  1. STATISTICS 8 -REVIEW FOR SECOND EXAM (CHAPTERS 7 TO 10, EXCEPT PARTS OF 9) 1. Understand interpretations of probability

    E-Print Network [OSTI]

    Utts, Jessica

    related to probability (Section 7.7 & Oct 27 lecture) CHAPTER 8: 1. Identify discrete versus continuous a continuous random variable is, and how probabilities are found (areas under curves). Know how to find summary on pgs 382-383) 4. Find the sampling distribution for one proportion given a value for p and n

  2. Comprehensive Sampling of Fourmile Branch and Its Seeplines in the F and H Area of SRS: June 1996 and March 1997

    SciTech Connect (OSTI)

    Koch, J.

    1998-10-30

    In June 1996, and March 1997 water samples were collected from Fourmile Branch (FMB) and its seeplines in the vicinity of the F- and H-Area Seepage basins. These sampling events represent a continuation of a series of semi-annual sampling events, which are now conducted annually and are aimed at characterizing the shallow groundwater outcropping into FMB and its wetlands. In the past, this groundwater has been shown to contain contaminants migrating from the F- and H-Area Seepage basins. The samples were analyzed for metals listed in Title 40, Code of Federal Regulations (CFR), Part 264, Appendix IX, various radionuclides, and selected inorganic constituents and parameters. Volatile organic compounds were not analyzed for in this sampling event since in previous events they were below detection limits, (ref. Dixon 1993, Dixon and Koch 1995).Results from both sampling events indicate that the seeplines of F and H Areas and FMB continue to be influenced by contaminants in groundwater originating from the capped seepage basins, but to a lesser degree than in the past. This suggests that the most concentrated portion of the contaminant plume may have flushed from the system.Contaminant concentrations measured during these two sampling events were compared to background samples collected during these two events and compared to primary drinking water standard (PDWS), secondary drinking water standards (SDWS), and maximum contaminant levels (MCL) enforceable in 1997. Results were also compared to the 1989 baseline measurements at corresponding locations.Using two separate statistical tests, the concentrations of analytes were compared to background samples. The purpose of the tests was to determine if concentrations of contaminants along the F- and H-Area seeplines were greater than background concentrations.

  3. Site characterization summary report for dry weather surface water sampling upper East Fork Poplar Creek characterization area Oak Ridge Y-12 Plant, Oak Ridge, Tennessee

    SciTech Connect (OSTI)

    NONE

    1996-08-01

    This report describes activities associated with conducting dry weather surface water sampling of Upper East Fork Poplar Creek (UEFPC) at the Oak Ridge Y-12 Plant, Oak Ridge, Tennessee. This activity is a portion of the work to be performed at UEFPC Operable Unit (OU) 1 [now known as the UEFPC Characterization Area (CA)], as described in the RCRA Facility Investigation Plan for Group 4 at the Oak- Ridge Y-12 Plant, Oak Ridge, Tennessee and in the Response to Comments and Recommendations on RCRA Facility Investigation Plan for Group 4 at the Oak Ridge Y-12 Plant, Oak Ridge, Tennessee, Volume 1, Operable Unit 1. Because these documents contained sensitive information, they were labeled as unclassified controlled nuclear information and as such are not readily available for public review. To address this issue the U.S. Department of Energy (DOE) published an unclassified, nonsensitive version of the initial plan, text and appendixes, of this Resource Conservation and Recovery Act (RCRA) Facility Investigation (RFI) Plan in early 1994. These documents describe a program for collecting four rounds of wet weather and dry weather surface water samples and one round of sediment samples from UEFPC. They provide the strategy for the overall sample collection program including dry weather sampling, wet weather sampling, and sediment sampling. Figure 1.1 is a schematic flowchart of the overall sampling strategy and other associated activities. A Quality Assurance Project Plan (QAPJP) was prepared to specifically address four rounds of dry weather surface water sampling and one round of sediment sampling. For a variety of reasons, sediment sampling has not been conducted and has been deferred to the UEFPC CA Remedial Investigation (RI), as has wet weather sampling.

  4. Waste Area Grouping 4 Site Investigation Sampling and Analysis Plan, Oak Ridge National Laboratory, Oak Ridge, Tennessee

    SciTech Connect (OSTI)

    NONE

    1994-12-01

    Waste Area Grouping (WAG) 4 is one of 17 WAGs within and associated with Oak Ridge National Laboratory (ORNL), on the Oak Ridge Reservation in Oak Ridge, Tennessee. WAG 4 is located along Lagoon Road south of the main facility at ORNL. WAG 4 is a shallow-waste burial site consisting of three separate areas: (1) Solid Waste Storage Area (SWSA) 4, a shallow-land burial ground containing radioactive and potentially hazardous wastes; (2) an experimental Pilot Pit Area, including a pilot-scale testing pit; and (3) sections of two abandoned underground pipelines formerly used for transporting liquid, low-level radioactive waste. In the 1950s, SWSA 4 received a variety of low-and high-activity wastes, including transuranic wastes, all buried in trenches and auger holes. Recent surface water data indicate that a significant amount of {sup 90}Sr is being released from the old burial trenches in SWSA 4. This release represents a significant portion of the ORNL off-site risk. In an effort to control the sources of the {sup 90}Sr release and to reduce the off-site risk, a site investigation is being implemented to locate the trenches containing the most prominent {sup 90}Sr sources. This investigation has been designed to gather site-specific data to confirm the locations of {sup 90}Sr sources responsible for most off-site releases, and to provide data to be used in evaluating potential interim remedial alternatives prepared to direct the site investigation of the SWSA 4 area at WAG 4.

  5. Sampling and analysis plan for the site characterization of the waste area Grouping 1 groundwater operable unit at Oak Ridge National Laboratory

    SciTech Connect (OSTI)

    1994-11-01

    Waste Area Grouping (WAG) 1 at Oak Ridge National Laboratory (ORNL) includes all of the former ORNL radioisotope research, production, and maintenance facilities; former waste management areas; and some former administrative buildings. Site operations have contaminated groundwater, principally with radiological contamination. An extensive network of underground pipelines and utilities have contributed to the dispersal of contaminants to a known extent. In addition, karst geology, numerous spills, and pipeline leaks, together with the long and varied history of activities at specific facilities at ORNL, complicate contaminant migration-pathway analysis and source identification. To evaluate the extent of contamination, site characterization activity will include semiannual and annual groundwater sampling, as well as monthly water level measurements (both manual and continuous) at WAG 1. This sampling and analysis plan provides the methods and procedures to conduct site characterization for the Phase 1 Remedial Investigation of the WAG 1 Groundwater Operable Unit.

  6. Temporal and spatial variations of butyltin concentrations in bivalve and sediment samples from some coastal areas of the United States 

    E-Print Network [OSTI]

    Garcia-Romero, Bernardo

    1988-01-01

    . ) in sediments. Total butyltin concentrations ranged from &5 to 3760 (640 avg, ) and from &5 to 282 (36 avg. ) ng Sn/g dry weight in bivalve and sediment samples, respectively. Myri/us edulis (886 ng Sn/g) had higher average total butyltin concentrations than... Crassnstrea virginica (328 ng Sn/g). The range and average of thc concentration of total bulyltins in bivalves from the West coast were higher than in bivalves from the Gulf of Mexico or from the East coast. Butyltin contamination in the marine environment...

  7. Intro Probability Rabbits Description Predictions Ontology of Earthquake Probability: Metaphor

    E-Print Network [OSTI]

    Stark, Philip B.

    Intro Probability Rabbits Description Predictions Ontology of Earthquake Probability: Metaphor be abandoned in favor of common sense. #12;Intro Probability Rabbits Description Predictions Earthquake not random. ­Wm. ShakesEarth #12;Intro Probability Rabbits Description Predictions Earthquake Poker

  8. Data analysis of the 1984 and 1986 soil sampling programs at Materials Disposal Area T in the Los Alamos National Laboratory

    SciTech Connect (OSTI)

    Nyhan, J.W.; Drennon, B.J.

    1993-09-01

    An environmental surveillance program for Materials Disposal Area T (MDA-T) at Los Alamos, New Mexico is described. The waste-use history of this disposal site is described, followed by a description of the materials and methods used to analyze data from two surface soil radionuclide sampling programs performed at this disposal site. The disposal site`s physical features are related to the spatial distribution of radionuclide concentration contours in an attempt to evaluate radionuclide migration mechanisms in and around the site. The usefulness of the data analysis efforts is evaluated and recommendations are made for future studies.

  9. Chapter 1 The Nature of Probability and Statistics

    E-Print Network [OSTI]

    Hong, Don

    Chapter 1 The Nature of Probability and Statistics 1.1 Introduction Definition. Statistics based on probability theory. This chapter introduces the basic concepts of probability and statistics by answering questions like: · what are the branches of statistics · what are data · how are samples selected 1

  10. Hume, Induction, Probability

    E-Print Network [OSTI]

    Fitelson, Branden

    Hume, Induction, and Probability Peter J.R. Millican The University of Leeds Department is to understand Hume's famous argument concerning induction, and to appraise its success in establishing its for the argument (§4.3); (g) Refutation of Stove's well-known alternative diagram (§5.1); (h) Likewise of Stove

  11. The Logic of Parametric Probability

    E-Print Network [OSTI]

    Norman, Joseph W

    2012-01-01

    The computational method of parametric probability analysis is introduced. It is demonstrated how to embed logical formulas from the propositional calculus into parametric probability networks, thereby enabling sound reasoning about the probabilities of logical propositions. An alternative direct probability encoding scheme is presented, which allows statements of implication and quantification to be modeled directly as constraints on conditional probabilities. Several example problems are solved, from Johnson-Laird's aces to Smullyan's zombies. Many apparently challenging problems in logic turn out to be simple problems in algebra and computer science; often just systems of polynomial equations or linear optimization problems. This work extends the mathematical logic and parametric probability methods invented by George Boole.

  12. Emptiness Formation Probability

    E-Print Network [OSTI]

    Nicholas Crawford; Stephen Ng; Shannon Starr

    2014-12-30

    We present rigorous upper and lower bounds on the emptiness formation probability for the ground state of a spin-$1/2$ Heisenberg XXZ quantum spin system. For a $d$-dimensional system we find a rate of decay of the order $\\exp(-c L^{d+1})$ where $L$ is the sidelength of the box in which we ask for the emptiness formation event to occur. In the $d=1$ case this confirms previous predictions made in the integrable systems community, though our bounds do not achieve the precision predicted by Bethe ansatz calculations. On the other hand, our bounds in the case $d \\geq 2$ are new. The main tools we use are reflection positivity and a rigorous path integral expansion which is a variation on those previously introduced by Toth, Aizenman-Nachtergaele and Ueltschi.

  13. Robust Minimax Probability Machine Regression Robust Minimax Probability Machine Regression

    E-Print Network [OSTI]

    Grudic, Greg

    Robust Minimax Probability Machine Regression Robust Minimax Probability Machine Regression Thomas of Computer Science University of Colorado Boulder, C0 80309-0430, USA Abstract We formulate regression as maximizing the minimum probability () that the regression model is within ± of all future observations (i

  14. Probability and complex quantum trajectories

    SciTech Connect (OSTI)

    John, Moncy V. [Department of Physics, St. Thomas College, Kozhencherry, Pathanamthitta, Kerala 689 641 (India)], E-mail: moneyjohn@yahoo.co.uk

    2009-01-15

    It is shown that in the complex trajectory representation of quantum mechanics, the Born's {psi}*{psi} probability density can be obtained from the imaginary part of the velocity field of particles on the real axis. Extending this probability axiom to the complex plane, we first attempt to find a probability density by solving an appropriate conservation equation. The characteristic curves of this conservation equation are found to be the same as the complex paths of particles in the new representation. The boundary condition in this case is that the extended probability density should agree with the quantum probability rule along the real line. For the simple, time-independent, one-dimensional problems worked out here, we find that a conserved probability density can be derived from the velocity field of particles, except in regions where the trajectories were previously suspected to be nonviable. An alternative method to find this probability density in terms of a trajectory integral, which is easier to implement on a computer and useful for single particle solutions, is also presented. Most importantly, we show, by using the complex extension of Schrodinger equation, that the desired conservation equation can be derived from this definition of probability density.

  15. Sample design for the residential energy consumption survey

    SciTech Connect (OSTI)

    Not Available

    1994-08-01

    The purpose of this report is to provide detailed information about the multistage area-probability sample design used for the Residential Energy Consumption Survey (RECS). It is intended as a technical report, for use by statisticians, to better understand the theory and procedures followed in the creation of the RECS sample frame. For a more cursory overview of the RECS sample design, refer to the appendix entitled ``How the Survey was Conducted,`` which is included in the statistical reports produced for each RECS survey year.

  16. Outage probability at finite SNR

    E-Print Network [OSTI]

    Akçaba, Cemal

    2004-01-01

    In this thesis, we present a technique to reduce the outage probability of a single user multiple input multiple output (MIMO) channel when a sub-optimal transceiver architecture is used. We show that in slow-fading ...

  17. Joint probabilities and quantum cognition

    SciTech Connect (OSTI)

    Acacio de Barros, J. [Liberal Studies, 1600 Holloway Ave., San Francisco State University, San Francisco, CA 94132 (United States)

    2012-12-18

    In this paper we discuss the existence of joint probability distributions for quantumlike response computations in the brain. We do so by focusing on a contextual neural-oscillator model shown to reproduce the main features of behavioral stimulus-response theory. We then exhibit a simple example of contextual random variables not having a joint probability distribution, and describe how such variables can be obtained from neural oscillators, but not from a quantum observable algebra.

  18. Analytic bounds on transmission probabilities

    E-Print Network [OSTI]

    Boonserm, Petarpa

    2009-01-01

    We develop some new analytic bounds on transmission probabilities (and the related reflection probabilities and Bogoliubov coefficients) for generic one-dimensional scattering problems. To do so we rewrite the Schrodinger equation for some complicated potential whose properties we are trying to investigate in terms of some simpler potential whose properties are assumed known, plus a (possibly large) "shift" in the potential. Doing so permits us to extract considerable useful information without having to exactly solve the full scattering problem.

  19. Joint probability distributions for projection probabilities of random orthonormal states

    E-Print Network [OSTI]

    L. Alonso; T. Gorin

    2015-10-19

    A finite dimensional quantum system for which the quantum chaos conjecture applies has eigenstates, which show the same statistical properties than the column vectors of random orthogonal or unitary matrices. Here, we consider the different probabilities for obtaining a specific outcome in a projective measurement, provided the system is in one of its eigenstates. We then give analytic expressions for the joint probability density for these probabilities, with respect to the ensemble of random matrices. In the case of the unitary group, our results can be applied, also, to the phenomenon of universal conductance fluctuations, where the same mathematical quantities describe partial conductances in a two-terminal mesoscopic scattering problem with a finite number of modes in each terminal.

  20. Health and Safety Work Plan for Sampling Colloids in Waste Area Grouping 5 at Oak Ridge National Laboratory, Oak Ridge, Tennessee

    SciTech Connect (OSTI)

    Marsh, J.D.; McCarthy, J.F.

    1994-01-01

    This Work Plan/Site Safety and Health Plan (SSHP) and the attached work plan are for the performance of the colloid project at WAG 5. The work will be conducted by the Oak Ridge National Laboratory (ORNL) Environmental Sciences Division (ESD) and associated ORNL environmental, safety, and health support groups. The purpose of this document is to establish health and safety guidelines to be followed by all personnel involved in conducting work for this project. The levels of protection and the procedures specified in this plan are based on the best information available from historical data and preliminary evaluations of the area. Therefore, these recommendations represent the minimum health and safety requirements to be observed by all personnel engaged in this project.

  1. Fusion Probability in Dinuclear System

    E-Print Network [OSTI]

    Juhee Hong

    2015-03-26

    Fusion can be described by the time evolution of a dinuclear system with two degrees of freedom, the relative motion and transfer of nucleons. In the presence of the coupling between two collective modes, we solve the Fokker-Planck equation in a locally harmonic approximation. The potential of a dinuclear system has the quasifission barrier and the inner fusion barrier, and the escape rates can be calculated by the Kramers' model. To estimate the fusion probability, we calculate the quasifission rate and the fusion rate. We investigate the coupling effects on the fusion probability and the cross section of evaporation residue.

  2. MAS 108 Probability I Notes 1 Autumn 2005

    E-Print Network [OSTI]

    Bailey, R. A.

    .) If I toss a coin three times and record the results of the three tosses, the sample space is S = {HHH' and B the event `tails on last throw'. Then A = {HHH,HHT,HTH,THH}, B = {HHT, it is {HHH}). If A = {a} is a simple event, then the proba- bility of A is just the probability

  3. Lectures on probability and statistics

    SciTech Connect (OSTI)

    Yost, G.P.

    1984-09-01

    These notes are based on a set of statistics lectures delivered at Imperial College to the first-year postgraduate students in High Energy Physics. They are designed for the professional experimental scientist. We begin with the fundamentals of probability theory, in which one makes statements about the set of possible outcomes of an experiment, based upon a complete a priori understanding of the experiment. For example, in a roll of a set of (fair) dice, one understands a priori that any given side of each die is equally likely to turn up. From that, we can calculate the probability of any specified outcome. We finish with the inverse problem, statistics. Here, one begins with a set of actual data (e.g., the outcomes of a number of rolls of the dice), and attempts to make inferences about the state of nature which gave those data (e.g., the likelihood of seeing any given side of any given die turn up). This is a much more difficult problem, of course, and one's solutions often turn out to be unsatisfactory in one respect or another.

  4. Modeling probability distributions with predictive state representations

    E-Print Network [OSTI]

    Wiewiora, Eric Walter

    2008-01-01

    Discovery is the process of choosing the core tests, whose success probabilities will become the state of the learned model.

  5. Geographic Resource Map of Frozen Pipe Probabilities

    Broader source: Energy.gov [DOE]

    Presentation slide details a resource map showing the probability of frozen pipes in the geographic United States.

  6. Probability in the Engineering and Informational Sciences

    E-Print Network [OSTI]

    Oren, Shmuel S.

    Probability in the Engineering and Informational Sciences http://journals.cambridge.org/PES Additional services for Probability in the Engineering and Informational Sciences: Email alerts: Click here Probability in the Engineering and Informational Sciences / Volume 8 / Issue 02 / April 1994, pp 287 290 DOI

  7. Outage Probability Under Channel Distribution Uncertainty

    E-Print Network [OSTI]

    Loyka, Sergey

    Outage Probability Under Channel Distribution Uncertainty Ioanna Ioannou, Charalambos D. Charalambous and Sergey Loyka Abstract--Outage probability of a class of block-fading (MIMO) channels outage probability defined as min (over the input distribution) -max (over the channel distribution class

  8. Colloid characterization and quantification in groundwater samples

    SciTech Connect (OSTI)

    K. Stephen Kung

    2000-06-01

    This report describes the work conducted at Los Alamos National Laboratory for studying the groundwater colloids for the Yucca Mountain Project in conjunction with the Hydrologic Resources Management Program (HRMP) and the Underground Test Area (UGTA) Project. Colloidal particle size distributions and total particle concentration in groundwater samples are quantified and characterized. Colloid materials from cavity waters collected near underground nuclear explosion sites by HRMP field sampling personnel at the Nevada Test Site (NTS) were quantified. Selected colloid samples were further characterized by electron microscope to evaluate the colloid shapes, elemental compositions, and mineral phases. The authors have evaluated the colloid size and concentration in the natural groundwater sample that was collected from the ER-20-5 well and stored in a 50-gallon (about 200-liter) barrel for several months. This groundwater sample was studied because HRMP personnel have identified trace levels of radionuclides in the water sample. Colloid results show that even though the water sample had filtered through a series of Millipore filters, high-colloid concentrations were identified in all unfiltered and filtered samples. They had studied the samples that were diluted with distilled water and found that diluted samples contained more colloids than the undiluted ones. These results imply that colloids are probably not stable during the storage conditions. Furthermore, results demonstrate that undesired colloids have been introduced into the samples during the storage, filtration, and dilution processes. They have evaluated possible sources of colloid contamination associated with sample collection, filtrating, storage, and analyses of natural groundwaters. The effects of container types and sample storage time on colloid size distribution and total concentration were studied to evaluate colloid stability by using J13 groundwater. The data suggests that groundwater samples should be analyzed for colloid size and concentration shortly after they have been collected. A prolonged waiting period after sampling will affect the colloid size distribution as well as colloid concentration resulting from the changes of water chemical properties. The data also shows that sample containers, filter materials, and labware that are used for colloid analyses should be cleaned by specially treated low-colloid-containing water. Water used for sample dilution should be verified for total colloidal particle concentration. They then analyzed freshly collected groundwater from NTS wells ER-20-5{number_sign}1 and {number_sign}3. Results show that these groundwater samples have similar colloid concentrations and particle size distributions. For the particle size range between 50- and 200-nm, about ten trillion (1E10) colloidal particles per liter are present in these water samples. Most of these colloidal particles are less than 100 mm in size. For example, more than 98% of the colloids are smaller than 100 nm in size in the ER-20-5 {number_sign}1 sample. Furthermore, it was found that the smaller the sizes of colloid, the higher the colloid concentration present in the water. For another site at NTS, Cheshire, they had analyzed two zones of groundwater samples. For water samples collected from the lower water zone (near the underground detonation cavity about 3,700 feet of slanted depth from the surface), the colloid concentration was about 5E12 particles per liter. About 20 times less than the lower zone of total colloids was found in water samples collected from the upper aquifer (around 2,511 feet of slanted depth), although colloid size distributions from these two zones appear to be rather similar.

  9. Probability and Quantum Paradigms: the Interplay

    SciTech Connect (OSTI)

    Kracklauer, A. F. [Bauhaus Universitaet, PF 2040, 99401 Weimar (Germany)

    2007-12-03

    Since the introduction of Born's interpretation of quantum wave functions as yielding the probability density of presence, Quantum Theory and Probability have lived in a troubled symbiosis. Problems arise with this interpretation because quantum probabilities exhibit features alien to usual probabilities, namely non Boolean structure and non positive-definite phase space probability densities. This has inspired research into both elaborate formulations of Probability Theory and alternate interpretations for wave functions. Herein the latter tactic is taken and a suggested variant interpretation of wave functions based on photo detection physics proposed, and some empirical consequences are considered. Although incomplete in a few details, this variant is appealing in its reliance on well tested concepts and technology.

  10. Bayesian Probabilities and the Histories Algebra

    E-Print Network [OSTI]

    Thomas Marlow

    2006-03-06

    We attempt a justification of a generalisation of the consistent histories programme using a notion of probability that is valid for all complete sets of history propositions. This consists of introducing Cox's axioms of probability theory and showing that our candidate notion of probability obeys them. We also give a generalisation of Bayes' theorem and comment upon how Bayesianism should be useful for the quantum gravity/cosmology programmes.

  11. Average transmission probability of a random stack

    E-Print Network [OSTI]

    Yin Lu; Christian Miniatura; Berthold-Georg Englert

    2009-07-31

    The transmission through a stack of identical slabs that are separated by gaps with random widths is usually treated by calculating the average of the logarithm of the transmission probability. We show how to calculate the average of the transmission probability itself with the aid of a recurrence relation and derive analytical upper and lower bounds. The upper bound, when used as an approximation for the transmission probability, is unreasonably good and we conjecture that it is asymptotically exact.

  12. Modern Probability Theory and Its Applications 

    E-Print Network [OSTI]

    Parzen, Emanuel

    1960-01-01

    who have contributed to this book by their comments, I offer my thanks. Particularly valuable assistance has been rendered by E. Dalton and D. Ylvisaker and also by M. Boswell and P. Williams. To the cheerful, hard-working staff of the Applied... drawings. Stanford, California January 1960 EMANUEL PARZEN Contents CHAPTER PROBABILITY THEORY AS THE STUDY OF MATHEMATICAL MODELS OF RANDOM PHENOMENA Probability theory as the study of random phenomena 2 Probability theory as the study...

  13. Sampling box

    DOE Patents [OSTI]

    Phillips, Terrance D. (617 Chestnut Ct., Aiken, SC 29803); Johnson, Craig (100 Midland Rd., Oak Ridge, TN 37831-0895)

    2000-01-01

    An air sampling box that uses a slidable filter tray and a removable filter cartridge to allow for the easy replacement of a filter which catches radioactive particles is disclosed.

  14. Sampling apparatus

    DOE Patents [OSTI]

    Gordon, N.R.; King, L.L.; Jackson, P.O.; Zulich, A.W.

    1989-07-18

    A sampling apparatus is provided for sampling substances from solid surfaces. The apparatus includes first and second elongated tubular bodies which telescopically and sealingly join relative to one another. An absorbent pad is mounted to the end of a rod which is slidably received through a passageway in the end of one of the joined bodies. The rod is preferably slidably and rotatably received through the passageway, yet provides a selective fluid tight seal relative thereto. A recess is formed in the rod. When the recess and passageway are positioned to be coincident, fluid is permitted to flow through the passageway and around the rod. The pad is preferably laterally orientable relative to the rod and foldably retractable to within one of the bodies. A solvent is provided for wetting of the pad and solubilizing or suspending the material being sampled from a particular surface. 15 figs.

  15. Probability Theory: The Logic of Science

    E-Print Network [OSTI]

    Rodriguez, Carlos

    of Probability Theory Chapter 16 Orthodox Statistics: Historical Background Chapter 17 Principles and Pathology Marginalization Theory Chapter 27 Communication Theory Chapter 28 Optimal Antenna and Filter Design Chapter 29 Statistical Mechanics Chapter 30 Conclusions APPENDICES Appendix A Other Approaches to Probability Theory

  16. Analytical Study of Thermonuclear Reaction Probability Integrals

    E-Print Network [OSTI]

    M. A. Chaudhry; H. J. Haubold; A. M. Mathai

    2000-01-16

    An analytic study of the reaction probability integrals corresponding to the various forms of the slowly varying cross-section factor $S(E)$ is attempted. Exact expressions for reaction probability integrals are expressed in terms of the extended gamma functions.

  17. 18.05 Introduction to Probability and Statistics, Spring 2005

    E-Print Network [OSTI]

    Panchenko, Dmitry

    This course provides an elementary introduction to probability and statistics with applications. Topics include: basic probability models; combinatorics; random variables; discrete and continuous probability distributions; ...

  18. History matching and uncertainty quantificiation using sampling method 

    E-Print Network [OSTI]

    Ma, Xianlin

    2009-05-15

    Uncertainty quantification involves sampling the reservoir parameters correctly from a posterior probability function that is conditioned to both static and dynamic data. Rigorous sampling methods like Markov Chain Monte ...

  19. Sample sizes for confidence limits for reliability.

    SciTech Connect (OSTI)

    Darby, John L.

    2010-02-01

    We recently performed an evaluation of the implications of a reduced stockpile of nuclear weapons for surveillance to support estimates of reliability. We found that one technique developed at Sandia National Laboratories (SNL) under-estimates the required sample size for systems-level testing. For a large population the discrepancy is not important, but for a small population it is important. We found that another technique used by SNL provides the correct required sample size. For systems-level testing of nuclear weapons, samples are selected without replacement, and the hypergeometric probability distribution applies. Both of the SNL techniques focus on samples without defects from sampling without replacement. We generalized the second SNL technique to cases with defects in the sample. We created a computer program in Mathematica to automate the calculation of confidence for reliability. We also evaluated sampling with replacement where the binomial probability distribution applies.

  20. SLIGHTLY MORE REALISTIC PERSONAL PROBABILITY IAN HACKING

    E-Print Network [OSTI]

    Fitelson, Branden

    SLIGHTLY MORE REALISTIC PERSONAL PROBABILITY IAN HACKING Makerere U~ziversityCollege A person's work are to this article. #12;312 I&? HACKING The third one, though it will appeal to logicians, might

  1. A Monotonicity Property of Binomial Probabilities

    E-Print Network [OSTI]

    Hart, Sergiu

    A Monotonicity Property of Binomial Probabilities Sergiu Hart Benjamin Weiss May 11, 2008 Let n 1 of Jerusalem, 91904 Jerusalem, Israel. e-mail: hart@huji.ac.il web page: http://www.ma.huji.ac.il/hart

  2. Probability distribution of the vacuum energy density

    SciTech Connect (OSTI)

    Duplancic, Goran; Stefancic, Hrvoje; Glavan, Drazen

    2010-12-15

    As the vacuum state of a quantum field is not an eigenstate of the Hamiltonian density, the vacuum energy density can be represented as a random variable. We present an analytical calculation of the probability distribution of the vacuum energy density for real and complex massless scalar fields in Minkowski space. The obtained probability distributions are broad and the vacuum expectation value of the Hamiltonian density is not fully representative of the vacuum energy density.

  3. Accurate Direct Illumination Using Iterative Adaptive Sampling

    E-Print Network [OSTI]

    Bala, Kavita

    Accurate Direct Illumination Using Iterative Adaptive Sampling Michael Donikian, Bruce Walter with many lights and complex occlusion. Images are first divided into 8 Â 8 pixel blocks and for each point to be shaded within a block, a probability density function (PDF) is constructed over the lights and sampled

  4. Isotopic Analysis- Fluid At Kilauea East Rift Geothermal Area...

    Open Energy Info (EERE)

    purpose of this study was to identify probable recharge areas and length of time for groundwater discharge from the Kilauea rift zones. Interpretations were based on isotropic...

  5. Acceptance sampling using judgmental and randomly selected samples

    SciTech Connect (OSTI)

    Sego, Landon H.; Shulman, Stanley A.; Anderson, Kevin K.; Wilson, John E.; Pulsipher, Brent A.; Sieber, W. Karl

    2010-09-01

    We present a Bayesian model for acceptance sampling where the population consists of two groups, each with different levels of risk of containing unacceptable items. Expert opinion, or judgment, may be required to distinguish between the high and low-risk groups. Hence, high-risk items are likely to be identifed (and sampled) using expert judgment, while the remaining low-risk items are sampled randomly. We focus on the situation where all observed samples must be acceptable. Consequently, the objective of the statistical inference is to quantify the probability that a large percentage of the unsampled items in the population are also acceptable. We demonstrate that traditional (frequentist) acceptance sampling and simpler Bayesian formulations of the problem are essentially special cases of the proposed model. We explore the properties of the model in detail, and discuss the conditions necessary to ensure that required samples sizes are non-decreasing function of the population size. The method is applicable to a variety of acceptance sampling problems, and, in particular, to environmental sampling where the objective is to demonstrate the safety of reoccupying a remediated facility that has been contaminated with a lethal agent.

  6. Reassessment of the BWR scram failure probability

    SciTech Connect (OSTI)

    Burns, E.T.

    1989-01-01

    As part of the Severe Accident Policy Statement implementation, the probabilistic quantification of accident sequence frequencies that may lead to core damage is a key element in demonstrating a plant's safety status relative to US Nuclear Regulatory Commission (NRC) staff goals. One of the key quantitative inputs in a boiling water reactor (BWR) probabilistic risk assessment is the probability of a failure to scram. The assessment of this failure probability has been the subject of a long and continuing debate over the adequacy of available data and analytic modeling. This report provides a summary of the status of this debate, including the latest data, and provides a revision to the characterization of the failure probability originally published in NUREG 0460 and the Utility Group on Anticipated Transient Without Scram (ATWS) Petition.

  7. Electric quadrupole transition probabilities for atomic lithium

    SciTech Connect (OSTI)

    Çelik, Gültekin; Gökçe, Yasin; Y?ld?z, Murat

    2014-05-15

    Electric quadrupole transition probabilities for atomic lithium have been calculated using the weakest bound electron potential model theory (WBEPMT). We have employed numerical non-relativistic Hartree–Fock wavefunctions for expectation values of radii and the necessary energy values have been taken from the compilation at NIST. The results obtained with the present method agree very well with the Coulomb approximation results given by Caves (1975). Moreover, electric quadrupole transition probability values not existing in the literature for some highly excited levels have been obtained using the WBEPMT.

  8. Useful Probability Distributions Standard Normal Distribution

    E-Print Network [OSTI]

    the proportion t as a variable which is continuous over the interval (0,1) For small consignments, say N Consignment of tablets, a proportion of which are suspected drugs. For large consignments, probability distribution of the proportion t which are drugs can be modeled with a beta distribution, which treats

  9. A Formulation for Minimax Probability Machine Regression

    E-Print Network [OSTI]

    Grudic, Greg

    A Formulation for Minimax Probability Machine Regression Thomas Strohmann Department of Computer Science University of Colorado, Boulder grudic@cs.colorado.edu Abstract We formulate the regression of the regression model will be within some ± bound of the true regression function. Our formulation is unique

  10. MAS275 Probability Modelling 2 Renewal Theory

    E-Print Network [OSTI]

    Jordan, Jonathan

    MAS275 Probability Modelling 2 Renewal Theory 2.1 Renewal processes in discrete time Renewal will model the lengths of time between renewals (e.g. the life-lengths of light bulbs) as random variables there is an occurrence called a renewal, and at the points of time between these renewals, nothing happens. For example

  11. CAPES 2013 PROBABILITY and STATISTICS Ttulo ISSN

    E-Print Network [OSTI]

    Moreira, Carlos Gustavo

    -0918 Communications Series A1 Mathematics & Statistics 1303-5911 Computational and mathematical organization theory-5483 Communications in Mathematical Physics 0010-3616 Communications in statistics. Simulation and computation 0361 communications in probability 1083-589X Electronic journal of applied statistical analysis 2070-5948 Electronic

  12. Water Sampling At Valles Caldera - Sulphur Springs Geothermal...

    Open Energy Info (EERE)

    Water Sampling At Valles Caldera - Sulphur Springs Geothermal Area (Trainer, 1974) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Water Sampling...

  13. The 60% Efficient Diesel Engine: Probably, Possible, Or Just...

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

    The 60% Efficient Diesel Engine: Probably, Possible, Or Just a Fantasy? The 60% Efficient Diesel Engine: Probably, Possible, Or Just a Fantasy? 2005 Diesel Engine Emissions...

  14. Extreme hydro-meteorological events and their probabilities

    E-Print Network [OSTI]

    Beersma, Jules

    Extreme hydro-meteorological events and their probabilities Jules Beersma #12;Promotor: Prof. dr. A Onderzoekschool (BBOS) #12;Extreme hydro-meteorological events and their probabilities Extreme hydro

  15. Optimum phase space probabilities from quantum tomography

    SciTech Connect (OSTI)

    Roy, Arunabha S.; Roy, S. M.

    2014-01-15

    We determine a positive normalised phase space probability distribution P with minimum mean square fractional deviation from the Wigner distribution W. The minimum deviation, an invariant under phase space rotations, is a quantitative measure of the quantumness of the state. The positive distribution closest to W will be useful in quantum mechanics and in time frequency analysis. The position-momentum correlations given by the distribution can be tested experimentally in quantum optics.

  16. Pion-capture probabilities in organic molecules

    SciTech Connect (OSTI)

    Jackson, D.F.; Lewis, C.A.; O'Leary, K.

    1982-06-01

    Experimental results are presented for atomic-capture probabilities of negative pions in organic molecules. The data are analyzed in terms of atomic and molecular models. This analysis shows that the Fermi-Teller law (Z law) and its modifications do not give an adequate description of the data, but that a mesomolecular model together with hydrogen transfer contains the features essential to fit the data. Clear evidence is given for chemical effects in the pion-capture process.

  17. Law of total probability Sequences of events

    E-Print Network [OSTI]

    Adler, Robert J.

    {Second black} = P{Second red} and sum is 1! 3 #12;' & $ % Example 2: Poisonned chocolates · k chocolates in a box of N are poisoned. 2 chocolates are are drawn at random. What is the probability that the second chocolate is poisoned? P{2nd poison} = P{2nd poison|1st poison}P{1st poison} + P{2nd poison|1st OK}P{1st OK

  18. Free Energy Changes, Fluctuations, and Path Probabilities

    E-Print Network [OSTI]

    William G. Hoover; Carol G. Hoover

    2011-04-20

    We illustrate some of the static and dynamic relations discovered by Cohen, Crooks, Evans, Jarzynski, Kirkwood, Morriss, Searles, and Zwanzig. These relations link nonequilibrium processes to equilibrium isothermal free energy changes and to dynamical path probabilities. We include ideas suggested by Dellago, Geissler, Oberhofer, and Schoell-Paschinger. Our treatment is intended to be pedagogical, for use in an updated version of our book: Time Reversibility, Computer Simulation, and Chaos. Comments are very welcome.

  19. Conservative Estimates of Blocking and Outage Probabilities in CDMA Networks

    E-Print Network [OSTI]

    Bonald, Thomas

    Conservative Estimates of Blocking and Outage Probabilities in CDMA Networks T. Bonald, A. Prouti`ere 1 France Telecom, Division R&D, Issy-les-Moulineaux, France Abstract The outage probability is a key the blocking probability. The blocking and outage probabilities do not have closed-form expressions

  20. Fluid Model of the Outage Probability in Sectored Wireless Networks

    E-Print Network [OSTI]

    Coupechoux, Marceau

    Fluid Model of the Outage Probability in Sectored Wireless Networks Jean-Marc Kelif France Telecom to derive the global outage probability and the spatial outage probability, which depends on the location the derivation of outage probabilities, capacity evaluation and then, the definition of Call Admission Control

  1. Probability Grid: A Location Estimation Scheme for Wireless Sensor Networks

    E-Print Network [OSTI]

    Stankovic, John A.

    estimation, grid topology, probability. I. INTRODUCTION Recent advances in micro-electro-mechanical systems

  2. On the estimation of detection probabilities for sampling stream-dwelling fishes

    E-Print Network [OSTI]

    , Idaho Prepared for: U. S. Department of Energy Bonneville Power Administration Environment, Fish for 95% power, by species, for salmonids collected during FS survey of small streams in the Interior

  3. STATISTICAL DAMAGE CLASSIFICATION USING SEQUENTIAL PROBABILITY RATIO TESTS.

    SciTech Connect (OSTI)

    SOHN, HOON; ALLEN, DAVID W; WORDEN, KEITH; FARRAR, CHARLES R

    2002-02-16

    The primary objective of damage detection is to ascertain with confidence if damage is present or not within a structure of interest. In this study, a damage classification problem is cast in the context of the statistical pattern recognition paradigm. First, a time prediction model, called an autoregressive and autoregressive with exogenous inputs (AR-ARX) model, is fit to a vibration signal measured during a normal operating condition of the structure. When a new time signal is recorded from an unknown state of the system, the prediction errors are computed for the new data set using the time prediction model. When the structure undergoes structural degradation, it is expected that the prediction errors will increase for the damage case. Based on this premise, a damage classifier is constructed using a sequential hypothesis testing technique called the sequential probability ratio test (SPRT). The SPRT is one form of parametric statistical inference tests, and the adoption of the SPRT to damage detection problems can improve the early identification of conditions that could lead to performance degradation and safety concerns. The sequential test assumes a probability distribution of the sample data sets, and a Gaussian distribution of the sample data sets is often used. This assumption, however, might impose potentially misleading behavior on the extreme values of the data, i.e. those points in the tails of the distribution. As the problem of damage detection specifically focuses attention on the tails, the assumption of normality is likely to lead the analysis astray. To overcome this difficulty, the performance of the SPRT is improved by integrating extreme values statistics, which specifically models behavior in the tails of the distribution of interest into the SPRT.

  4. Spin Glass Computations and Ruelle's Probability Cascades

    E-Print Network [OSTI]

    Louis-Pierre Arguin

    2006-08-17

    We study the Parisi functional, appearing in the Parisi formula for the pressure of the SK model, as a functional on Ruelle's Probability Cascades (RPC). Computation techniques for the RPC formulation of the functional are developed. They are used to derive continuity and monotonicity properties of the functional retrieving a theorem of Guerra. We also detail the connection between the Aizenman-Sims-Starr variational principle and the Parisi formula. As a final application of the techniques, we rederive the Almeida-Thouless line in the spirit of Toninelli but relying on the RPC structure.

  5. STATISTICAL SAMPLING FOR IN-SERVICE INSPECTION OF LIQUID WASTE TANKS AT THE SAVANNAH RIVER SITE

    SciTech Connect (OSTI)

    Harris, S.; Baxter, L.

    2011-04-07

    Savannah River Remediation, LLC (SRR) is implementing a statistical sampling strategy for In-Service Inspection (ISI) of Liquid Waste (LW) Tanks at the United States Department of Energy's Savannah River Site (SRS) in Aiken, South Carolina. As a component of SRS's corrosion control program, the ISI program assesses tank wall structural integrity through the use of ultrasonic testing (UT). The statistical strategy for ISI is based on the random sampling of a number of vertically oriented unit areas, called strips, within each tank. The number of strips to inspect was determined so as to attain, over time, a high probability of observing at least one of the worst 5% in terms of pitting and corrosion across all tanks. The probability estimation to determine the number of strips to inspect was performed using the hypergeometric distribution. Statistical tolerance limits for pit depth and corrosion rates were calculated by fitting the lognormal distribution to the data. In addition to the strip sampling strategy, a single strip within each tank was identified to serve as the baseline for a longitudinal assessment of the tank safe operational life. The statistical sampling strategy enables the ISI program to develop individual profiles of LW tank wall structural integrity that collectively provide a high confidence in their safety and integrity over operational lifetimes.

  6. Research Areas

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefieldSulfateSciTechtail.Theory ofDid youOxygen Generation |Publications TheGashome /Areas Research Areas

  7. Environmental surveillance master sampling schedule

    SciTech Connect (OSTI)

    Bisping, L.E.

    1995-02-01

    Environmental surveillance of the Hanford Site and surrounding areas is conducted by the Pacific Northwest Laboratory (PNL) for the U.S. Department of Energy (DOE). This document contains the planned 1994 schedules for routine collection of samples for the Surface Environmental Surveillance Project (SESP), Drinking Water Project, and Ground-Water Surveillance Project. Samples are routinely collected for the SESP and analyzed to determine the quality of air, surface water, soil, sediment, wildlife, vegetation, foodstuffs, and farm products at Hanford Site and surrounding communities. The responsibility for monitoring onsite drinking water falls outside the scope of the SESP. PNL conducts the drinking water monitoring project concurrent with the SESP to promote efficiency and consistency, utilize expertise developed over the years, and reduce costs associated with management, procedure development, data management, quality control, and reporting. The ground-water sampling schedule identifies ground-water sampling .events used by PNL for environmental surveillance of the Hanford Site. Sampling is indicated as annual, semi-annual, quarterly, or monthly in the sampling schedule. Some samples are collected and analyzed as part of ground-water monitoring and characterization programs at Hanford (e.g. Resources Conservation and Recovery Act (RCRA), Comprehensive Environmental Response, Compensation, and Liability Act (CERCLA), or Operational). The number of samples planned by other programs are identified in the sampling schedule by a number in the analysis column and a project designation in the Cosample column. Well sampling events may be merged to avoid redundancy in cases where sampling is planned by both-environmental surveillance and another program.

  8. Some Considerations on the Probability of Nuclear Fission

    E-Print Network [OSTI]

    Vandenbosch, Robert; Seaborg, Glenn T.

    1957-01-01

    om THE PROBABILITY OF NUCLEAR FISSION Robert Vandenbosch andON TRE PROBABILITY OF NUCLEAR FISSION O E Contents Abstractf is the fission threshold, and the nuclear temperature T is

  9. An Introduction to the Neutrosophic Probability Applied in Quantum Physics

    E-Print Network [OSTI]

    Florentin Smarandache

    2000-10-10

    In this paper one generalizes the classical probability and imprecise probability to the notion of "neutrosophic probability" in order to be able to model Heisenberg's Uncertainty Principle of a particle's behavior, Schr"dinger's Cat Theory, and the state of bosons which do not obey Pauli's Exclusion Principle (in quantum physics). Neutrosophic probability is close related to neutrosophic logic and neutrosophic set, and etymologically derived from "neutrosophy".

  10. Free Probability -classical and free CLTs ISI Bangalore, November 2009

    E-Print Network [OSTI]

    Sunder, V S

    Free Probability - classical and free CLTs ISI Bangalore, November 2009 V.S. Sunder Institute Probability - classical and free CLTs ISI Bangalore, November 2009 #12;NCPS Definition A non satisfying (1) = 1 V.S. Sunder IMSc, Chennai Free Probability - classical and free CLTs ISI Bangalore

  11. Spatial Outage Probability Formula for CDMA Jean-Marc Kelif

    E-Print Network [OSTI]

    Coupechoux, Marceau

    Spatial Outage Probability Formula for CDMA Networks Jean-Marc Kelif France Telecom R&D Issy networks called the fluid model and we derive from this model analytical formulas for interference, outage probability, and spatial outage probability. The key idea of the fluid model is to consider the discrete base

  12. Asymptotic Analysis of Outage Probability in Cognitive Radio Networks

    E-Print Network [OSTI]

    Loyka, Sergey

    Asymptotic Analysis of Outage Probability in Cognitive Radio Networks Yaobin Wen, Sergey Loyka but not the outage probability itself. Unlike the cumulant-based analysis, our approach provides a guaranteed level. In particular, we demonstrate that there is a critical transition point below which the outage probability

  13. Spatial Outage Probability for Cellular Networks Jean-Marc Kelif

    E-Print Network [OSTI]

    Coupechoux, Marceau

    Spatial Outage Probability for Cellular Networks Jean-Marc Kelif France Telecom R&D Issy networks called the fluid model and we derive from this model analytical formulas for interference, outage probability, and spatial outage probability. The key idea of the fluid model is to consider the discrete base

  14. How a False Probability Model Changed the World

    E-Print Network [OSTI]

    Steele, J. Michael

    How a False Probability Model Changed the World: Birth, Death, and Redemption of Black-Scholes J. Michael Steele March 12, 2008 J. Michael Steele How a False Probability Model Changed the World: Birth Probability Model Changed the World: Birth, Death #12;Introduction: The Special, The Empirical, The Miracle

  15. 100 Area and 300 Area Component of the RCBRA Fall 2005 Data Compilation

    SciTech Connect (OSTI)

    J.M. Queen

    2006-05-30

    The purpose of this report is to provide a brief description of the sampling approaches, a description of the samples collected, and the results for the Fall 2005 sampling event. This report presents the methods and results of the work to support the 100 Area and 300 Area Component of the River Corridor Baseline Risk Assessment.

  16. Lectures on probability and statistics. Revision

    SciTech Connect (OSTI)

    Yost, G.P.

    1985-06-01

    These notes are based on a set of statistics lectures delivered at Imperial College to the first-year postgraduate students in High Energy Physics. They are designed for the professional experimental scientist. They begin with the fundamentals of probability theory, in which one makes statements about the set of possible outcomes of an experiment, based upon a complete a priori understanding of the experiment. For example, in a roll of a set of (fair) dice, one understands a priori that any given side of each die is equally likely to turn up. From that, we can calculate the probabilty of any specified outcome. They finish with the inverse problem, statistics. Here, one begins with a set of actual data (e.g., the outcomes of a number of rolls of the dice), and attempts to make inferences about the state of nature which gave those data (e.g., the likelihood of seeing any given side of any given die turn up). This is a much more difficult problem, of course, and one's solutions often turn out to be unsatisfactory in one respect or another. Hopefully, the reader will come away from these notes with a feel for some of the problems and uncertainties involved. Although there are standard approaches, most of the time there is no cut and dried ''best'' solution - ''best'' according to every criterion.

  17. Parametric probability distributions for anomalous change detection

    SciTech Connect (OSTI)

    Theiler, James P; Foy, Bernard R; Wohlberg, Brendt E; Scovel, James C

    2010-01-01

    The problem of anomalous change detection arises when two (or possibly more) images are taken of the same scene, but at different times. The aim is to discount the 'pervasive differences' that occur thoughout the imagery, due to the inevitably different conditions under which the images were taken (caused, for instance, by differences in illumination, atmospheric conditions, sensor calibration, or misregistration), and to focus instead on the 'anomalous changes' that actually take place in the scene. In general, anomalous change detection algorithms attempt to model these normal or pervasive differences, based on data taken directly from the imagery, and then identify as anomalous those pixels for which the model does not hold. For many algorithms, these models are expressed in terms of probability distributions, and there is a class of such algorithms that assume the distributions are Gaussian. By considering a broader class of distributions, however, a new class of anomalous change detection algorithms can be developed. We consider several parametric families of such distributions, derive the associated change detection algorithms, and compare the performance with standard algorithms that are based on Gaussian distributions. We find that it is often possible to significantly outperform these standard algorithms, even using relatively simple non-Gaussian models.

  18. Low Probability Tail Event Analysis and Mitigation in BPA Control Area: Task One Report

    SciTech Connect (OSTI)

    Lu, Shuai; Makarov, Yuri V.

    2009-04-01

    This is a report for task one of the tail event analysis project for BPA. Tail event refers to the situation in a power system when unfavorable forecast errors of load and wind are superposed onto fast load and wind ramps, or non-wind generators falling short of scheduled output, the imbalance between generation and load becomes very significant. This type of events occurs infrequently and appears on the tails of the distribution of system power imbalance; therefore, is referred to as tail events. This report analyzes what happened during the Electric Reliability Council of Texas (ERCOT) reliability event on February 26, 2008, which was widely reported because of the involvement of wind generation. The objective is to identify sources of the problem, solutions to it and potential improvements that can be made to the system. Lessons learned from the analysis include the following: (1) Large mismatch between generation and load can be caused by load forecast error, wind forecast error and generation scheduling control error on traditional generators, or a combination of all of the above; (2) The capability of system balancing resources should be evaluated both in capacity (MW) and in ramp rate (MW/min), and be procured accordingly to meet both requirements. The resources need to be able to cover a range corresponding to the variability of load and wind in the system, additional to other uncertainties; (3) Unexpected ramps caused by load and wind can both become the cause leading to serious issues; (4) A look-ahead tool evaluating system balancing requirement during real-time operations and comparing that with available system resources should be very helpful to system operators in predicting the forthcoming of similar events and planning ahead; and (5) Demand response (only load reduction in ERCOT event) can effectively reduce load-generation mismatch and terminate frequency deviation in an emergency situation.

  19. Low Probability Tail Event Analysis and Mitigation in the BPA Control Area

    SciTech Connect (OSTI)

    Lu, Shuai; Brothers, Alan J.; McKinstry, Craig A.; Jin, Shuangshuang; Makarov, Yuri V.

    2010-10-31

    This report investigated the uncertainties with the operations of the power system and their contributions to tail events, especially under high penetration of wind. A Bayesian network model is established to quantify the impact of these uncertainties on system imbalance. The framework is presented for a decision support tool, which can help system operators better estimate the need for balancing reserves and prepare for tail events.

  20. No probability loophole in the CHSH

    E-Print Network [OSTI]

    Richard D. Gill

    2015-06-19

    Geurdes (2014, Results in Physics) outlines a probabilistic construction of a counterexample to Bell's theorem. He gives a procedure to repeatedly sample from a specially constructed "pool" of local hidden variable models (depending on a table of numerically calculated parameters) and select from the results one LHV model, determining a random value S of the usual CHSH combination of four (theoretical) correlation values. He claims Prob(|S| > 2) > 0. We expose a fatal flaw in the analysis: the procedure generates a non-local hidden variable model. To disprove this claim, Geurdes should program his procedure and generate random LHV's till he finds one violating the CHSH inequality.

  1. Adaptive Peer Sampling with Newscast Norbert Tlgyesi1

    E-Print Network [OSTI]

    Jelasity, Márk

    extremely robust to many failure scenarios, including node churn and catastrophic failure. We identify two experiences a higher-than-average message drop rate then the probability of sampling this node in the network at very different rates which can result in very poor random sampling especially at nodes with high

  2. Water Sampling At Blackfoot Reservoir Area (Hutsinpiller & Parry, 1985) |

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page| Open Energy Information Serbia-EnhancingEt Al.,Turin,VillageWarrensource History View New Pages Recent ChangesOpen

  3. Water Sampling At Heber Area (Wood, 2002) | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page| Open Energy Information Serbia-EnhancingEt Al.,Turin,VillageWarrensource History View New PagesInformationHeber

  4. Water Sampling At International Geothermal Area, New Zealand (Wood, 2002) |

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page| Open Energy Information Serbia-EnhancingEt Al.,Turin,VillageWarrensource History View NewOpen Energy Information

  5. Water Sampling At Jemez Springs Geothermal Area (Trainer, 1974) | Open

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page| Open Energy Information Serbia-EnhancingEt Al.,Turin,VillageWarrensource History View NewOpen Energy

  6. Water Sampling At Lightning Dock Geothermal Area (Swanberg, 1976) | Open

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page| Open Energy Information Serbia-EnhancingEt Al.,Turin,VillageWarrensource History View NewOpen EnergyEnergyEnergy

  7. Water Sampling At Valles Caldera - Sulphur Springs Geothermal Area

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page| Open Energy Information Serbia-EnhancingEt Al.,Turin,VillageWarrensource History ViewInformation Umpqua

  8. Water Sampling At Valles Caldera - Sulphur Springs Geothermal Area (Goff,

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page| Open Energy Information Serbia-EnhancingEt Al.,Turin,VillageWarrensource History ViewInformation UmpquaEt Al.,

  9. Gas Flux Sampling At Long Valley Caldera Geothermal Area (Lewicki...

    Open Energy Info (EERE)

    energy fluxes (sensible and latent heat) against available energy (net radiation, less soil heat flux). While incomplete (R2 0.77 for 1:1 line), the degree of energy balance...

  10. Gas Sampling At Valles Caldera - Sulphur Springs Geothermal Area...

    Open Energy Info (EERE)

    respect to the caldera, to understand variations in gas compositions that occured during drilling and flow testing of the Valles scientific wells, and to compare Valles gases with...

  11. Surface Gas Sampling At International Geothermal Area Mexico (Norman, Et

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page| Open Energy Information Serbia-Enhancing CapacityVectren)Model for theSunLanSuperDrive IncCity, New Jersey:2002)Al.,

  12. Rock Sampling At Chena Geothermal Area (Kolker, 2008) | Open Energy

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page onRAPID/Geothermal/Exploration/ColoradoRemsenburg-Speonk, NewMichigan: Energy Resources Jump to:RockPoint, Arizona:2012)

  13. Rock Sampling At Coso Geothermal Area (1995) | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page onRAPID/Geothermal/Exploration/ColoradoRemsenburg-Speonk, NewMichigan: Energy Resources Jump to:RockPoint,

  14. Rock Sampling At Florida Mountains Area (Brookins, 1982) | Open Energy

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page onRAPID/Geothermal/Exploration/ColoradoRemsenburg-Speonk, NewMichigan: Energy Resources Jump to:RockPoint,Information

  15. Soil Sampling At Chena Geothermal Area (Kolker, 2008) | Open Energy

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page| Open Energy Information Serbia-Enhancing Capacity forSilicium de ProvenceSolarProjectHill,Energy

  16. Soil Sampling At Molokai Area (Thomas, 1986) | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page| Open Energy Information Serbia-Enhancing Capacity forSilicium de

  17. Water Sampling At International Geothermal Area, Philippines (Wood, 2002) |

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION JEnvironmental Jump to:EA EISTJThinWarsaw, Poland: EnergyPage EditWaterEnergyOpen EnergyOpenOpen

  18. Water Sampling At Kauai Area (Thomas, 1986) | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION JEnvironmental Jump to:EA EISTJThinWarsaw, Poland: EnergyPage

  19. Water Sampling At Lightning Dock Geothermal Area (Witcher, 2006) | Open

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION JEnvironmental Jump to:EA EISTJThinWarsaw, Poland: EnergyPageEnergy Information Thomas,

  20. Water Sampling At Lualualei Valley Area (Thomas, 1986) | Open Energy

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION JEnvironmental Jump to:EA EISTJThinWarsaw, Poland: EnergyPageEnergy Information

  1. Water Sampling At Mokapu Penninsula Area (Thomas, 1986) | Open Energy

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION JEnvironmental Jump to:EA EISTJThinWarsaw, Poland: EnergyPageEnergy

  2. Water Sampling At Roosevelt Hot Springs Geothermal Area (Faulder, 1991) |

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION JEnvironmental Jump to:EA EISTJThinWarsaw, Poland: EnergyPageEnergyDellechaie,Open Energy

  3. Alaska Sample Special Area Permit | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION JEnvironmental Jump to:EAand DaltonSolarOpen5 -Telephone Co Jump to: navigation, searchAlaska

  4. Defining And Characterizing Sample Representativeness For DWPF Melter Feed Samples

    SciTech Connect (OSTI)

    Shine, E. P.; Poirier, M. R.

    2013-10-29

    Representative sampling is important throughout the Defense Waste Processing Facility (DWPF) process, and the demonstrated success of the DWPF process to achieve glass product quality over the past two decades is a direct result of the quality of information obtained from the process. The objective of this report was to present sampling methods that the Savannah River Site (SRS) used to qualify waste being dispositioned at the DWPF. The goal was to emphasize the methodology, not a list of outcomes from those studies. This methodology includes proven methods for taking representative samples, the use of controlled analytical methods, and data interpretation and reporting that considers the uncertainty of all error sources. Numerous sampling studies were conducted during the development of the DWPF process and still continue to be performed in order to evaluate options for process improvement. Study designs were based on use of statistical tools applicable to the determination of uncertainties associated with the data needs. Successful designs are apt to be repeated, so this report chose only to include prototypic case studies that typify the characteristics of frequently used designs. Case studies have been presented for studying in-tank homogeneity, evaluating the suitability of sampler systems, determining factors that affect mixing and sampling, comparing the final waste glass product chemical composition and durability to that of the glass pour stream sample and other samples from process vessels, and assessing the uniformity of the chemical composition in the waste glass product. Many of these studies efficiently addressed more than one of these areas of concern associated with demonstrating sample representativeness and provide examples of statistical tools in use for DWPF. The time when many of these designs were implemented was in an age when the sampling ideas of Pierre Gy were not as widespread as they are today. Nonetheless, the engineers and statisticians used carefully thought out designs that systematically and economically provided plans for data collection from the DWPF process. Key shared features of the sampling designs used at DWPF and the Gy sampling methodology were the specification of a standard for sample representativeness, an investigation that produced data from the process to study the sampling function, and a decision framework used to assess whether the specification was met based on the data. Without going into detail with regard to the seven errors identified by Pierre Gy, as excellent summaries are readily available such as Pitard [1989] and Smith [2001], SRS engineers understood, for example, that samplers can be biased (Gy?s extraction error), and developed plans to mitigate those biases. Experiments that compared installed samplers with more representative samples obtained directly from the tank may not have resulted in systematically partitioning sampling errors into the now well-known error categories of Gy, but did provide overall information on the suitability of sampling systems. Most of the designs in this report are related to the DWPF vessels, not the large SRS Tank Farm tanks. Samples from the DWPF Slurry Mix Evaporator (SME), which contains the feed to the DWPF melter, are characterized using standardized analytical methods with known uncertainty. The analytical error is combined with the established error from sampling and processing in DWPF to determine the melter feed composition. This composition is used with the known uncertainty of the models in the Product Composition Control System (PCCS) to ensure that the wasteform that is produced is comfortably within the acceptable processing and product performance region. Having the advantage of many years of processing that meets the waste glass product acceptance criteria, the DWPF process has provided a considerable amount of data about itself in addition to the data from many special studies. Demonstrating representative sampling directly from the large Tank Farm tanks is a difficult, if not unsolvable enterprise due to li

  5. Parameterizing deep convection using the assumed probability density function method

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

    Storer, R. L.; Griffin, B. M.; Höft, J.; Weber, J. K.; Raut, E.; Larson, V. E.; Wang, M.; Rasch, P. J.

    2015-01-06

    Due to their coarse horizontal resolution, present-day climate models must parameterize deep convection. This paper presents single-column simulations of deep convection using a probability density function (PDF) parameterization. The PDF parameterization predicts the PDF of subgrid variability of turbulence, clouds, and hydrometeors. That variability is interfaced to a prognostic microphysics scheme using a Monte Carlo sampling method. The PDF parameterization is used to simulate tropical deep convection, the transition from shallow to deep convection over land, and midlatitude deep convection. These parameterized single-column simulations are compared with 3-D reference simulations. The agreement is satisfactory except when the convective forcingmore »is weak. The same PDF parameterization is also used to simulate shallow cumulus and stratocumulus layers. The PDF method is sufficiently general to adequately simulate these five deep, shallow, and stratiform cloud cases with a single equation set. This raises hopes that it may be possible in the future, with further refinements at coarse time step and grid spacing, to parameterize all cloud types in a large-scale model in a unified way.« less

  6. Parameterizing deep convection using the assumed probability density function method

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

    Storer, R. L.; Griffin, B. M.; Höft, J.; Weber, J. K.; Raut, E.; Larson, V. E.; Wang, M.; Rasch, P. J.

    2015-01-06

    Due to their coarse horizontal resolution, present-day climate models must parameterize deep convection. This paper presents single-column simulations of deep convection using a probability density function (PDF) parameterization. The PDF parameterization predicts the PDF of subgrid variability of turbulence, clouds, and hydrometeors. That variability is interfaced to a prognostic microphysics scheme using a Monte Carlo sampling method.The PDF parameterization is used to simulate tropical deep convection, the transition from shallow to deep convection over land, and midlatitude deep convection. These parameterized single-column simulations are compared with 3-D reference simulations. The agreement is satisfactory except when the convective forcing is weak.more »The same PDF parameterization is also used to simulate shallow cumulus and stratocumulus layers. The PDF method is sufficiently general to adequately simulate these five deep, shallow, and stratiform cloud cases with a single equation set. This raises hopes that it may be possible in the future, with further refinements at coarse time step and grid spacing, to parameterize all cloud types in a large-scale model in a unified way.« less

  7. Parameterizing deep convection using the assumed probability density function method

    SciTech Connect (OSTI)

    Storer, R. L. [Univ. of Wisconsin - Milwaukee, Milwaukee, WI (United States); Griffin, B. M. [Univ. of Wisconsin - Milwaukee, Milwaukee, WI (United States); Höft, J. [Univ. of Wisconsin - Milwaukee, Milwaukee, WI (United States); Weber, J. K. [Univ. of Wisconsin - Milwaukee, Milwaukee, WI (United States); Raut, E. [Univ. of Wisconsin - Milwaukee, Milwaukee, WI (United States); Larson, V. E. [Univ. of Wisconsin - Milwaukee, Milwaukee, WI (United States); Wang, M. [Pacific Northwest National Lab. (PNNL), Richland, WA (United States)] (ORCID:000000029179228X); Rasch, P. J. [Pacific Northwest National Lab. (PNNL), Richland, WA (United States)

    2015-01-01

    Due to their coarse horizontal resolution, present-day climate models must parameterize deep convection. This paper presents single-column simulations of deep convection using a probability density function (PDF) parameterization. The PDF parameterization predicts the PDF of subgrid variability of turbulence, clouds, and hydrometeors. That variability is interfaced to a prognostic microphysics scheme using a Monte Carlo sampling method.The PDF parameterization is used to simulate tropical deep convection, the transition from shallow to deep convection over land, and midlatitude deep convection. These parameterized single-column simulations are compared with 3-D reference simulations. The agreement is satisfactory except when the convective forcing is weak. The same PDF parameterization is also used to simulate shallow cumulus and stratocumulus layers. The PDF method is sufficiently general to adequately simulate these five deep, shallow, and stratiform cloud cases with a single equation set. This raises hopes that it may be possible in the future, with further refinements at coarse time step and grid spacing, to parameterize all cloud types in a large-scale model in a unified way.

  8. Radiation detection method and system using the sequential probability ratio test

    DOE Patents [OSTI]

    Nelson, Karl E. (Livermore, CA); Valentine, John D. (Redwood City, CA); Beauchamp, Brock R. (San Ramon, CA)

    2007-07-17

    A method and system using the Sequential Probability Ratio Test to enhance the detection of an elevated level of radiation, by determining whether a set of observations are consistent with a specified model within a given bounds of statistical significance. In particular, the SPRT is used in the present invention to maximize the range of detection, by providing processing mechanisms for estimating the dynamic background radiation, adjusting the models to reflect the amount of background knowledge at the current point in time, analyzing the current sample using the models to determine statistical significance, and determining when the sample has returned to the expected background conditions.

  9. H-Area Seepage Basins

    SciTech Connect (OSTI)

    Stejskal, G.

    1990-12-01

    During the third quarter of 1990 the wells which make up the H-Area Seepage Basins (H-HWMF) monitoring network were sampled. Laboratory analyses were performed to measure levels of hazardous constituents, indicator parameters, tritium, nonvolatile beta, and gross alpha. A Gas Chromatograph Mass Spectrometer (GCMS) scan was performed on all wells sampled to determine any hazardous organic constituents present in the groundwater. The primary contaminants observed at wells monitoring the H-Area Seepage Basins are tritium, nitrate, mercury, gross alpha, nonvolatile beta, trichloroethylene (TCE), tetrachloroethylene, lead, cadmium, arsenic, and total radium.

  10. 18.440 Probability and Random Variables, Spring 2011

    E-Print Network [OSTI]

    Sheffield, Scott

    This course introduces students to probability and random variables. Topics include distribution functions, binomial, geometric, hypergeometric, and Poisson distributions. The other topics covered are uniform, exponential, ...

  11. Probability and complex quantum trajectories: Finding the missing links

    SciTech Connect (OSTI)

    John, Moncy V., E-mail: moncyjohn@yahoo.co.u [Department of Physics, St. Thomas College, Kozhencherry, Kerala 689641 (India)

    2010-10-15

    It is shown that a normalisable probability density can be defined for the entire complex plane in the modified de Broglie-Bohm quantum mechanics, which gives complex quantum trajectories. This work is in continuation of a previous one that defined a conserved probability for most of the regions in the complex space in terms of a trajectory integral, indicating a dynamical origin of quantum probability. There it was also shown that the quantum trajectories obtained are the same characteristic curves that propagate information about the conserved probability density. Though the probability density we now adopt for those regions left out in the previous work is not conserved locally, the net source of probability for such regions is seen to be zero in the example considered, allowing to make the total probability conserved. The new combined probability density agrees with the Born's probability everywhere on the real line, as required. A major fall out of the present scheme is that it explains why in the classical limit the imaginary parts of trajectories are not observed even indirectly and particles are confined close to the real line.

  12. Derivation of the coefficient squared probability law in quantum mechanics

    E-Print Network [OSTI]

    Casey Blood

    2013-06-02

    If one assumes there is probability of perception in quantum mechanics, then unitarity dictates that it must have the coefficient squared form, in agreement with experiment.

  13. Statistical Surrogate Models for Estimating Probability of High...

    Office of Scientific and Technical Information (OSTI)

    Statistical Surrogate Models for Estimating Probability of High-Consequence Climate Change. Citation Details In-Document Search Title: Statistical Surrogate Models for Estimating...

  14. 18.440 Probability and Random Variables, Spring 2009

    E-Print Network [OSTI]

    Dudley, Richard

    This course introduces students to probability and random variables. Topics include distribution functions, binomial, geometric, hypergeometric, and Poisson distributions. The other topics covered are uniform, exponential, ...

  15. Ruin probabilities under general investments and heavy-tailed claims

    E-Print Network [OSTI]

    Hult, Henrik

    2008-01-01

    In this paper we study the asymptotic decay of finite time ruin probabilities for an insurance company that faces heavy-tailed claims, uses predictable investment strategies and makes investments in risky assets whose prices evolve according to quite general semimartingales. We show that the ruin problem corresponds to determining hitting probabilities for the solution to a randomly perturbed stochastic integral equation. We derive a large deviation result for the hitting probabilities that holds uniformly over a family of semimartingales and show that this result gives the asymptotic decay of finite time ruin probabilities under arbitrary investment strategies, including optimal investment strategies.

  16. The Active Wave-front Sampling based 3D endoscope

    E-Print Network [OSTI]

    Prakash, Hemanth

    2007-01-01

    This thesis investigates the potential of Active Wave-front Sampling (AWS) for real time quantified 3D endoscopy. AWS is a technique by which phase information from an aperture area of a lens is obtained by sampling ...

  17. Rain sampling device

    DOE Patents [OSTI]

    Nelson, D.A.; Tomich, S.D.; Glover, D.W.; Allen, E.V.; Hales, J.M.; Dana, M.T.

    1991-05-14

    The present invention constitutes a rain sampling device adapted for independent operation at locations remote from the user which allows rainfall to be sampled in accordance with any schedule desired by the user. The rain sampling device includes a mechanism for directing wet precipitation into a chamber, a chamber for temporarily holding the precipitation during the process of collection, a valve mechanism for controllably releasing samples of the precipitation from the chamber, a means for distributing the samples released from the holding chamber into vessels adapted for permanently retaining these samples, and an electrical mechanism for regulating the operation of the device. 11 figures.

  18. Rain sampling device

    DOE Patents [OSTI]

    Nelson, Danny A. (Richland, WA); Tomich, Stanley D. (Richland, WA); Glover, Donald W. (Prosser, WA); Allen, Errol V. (Benton City, WA); Hales, Jeremy M. (Kennewick, WA); Dana, Marshall T. (Richland, WA)

    1991-01-01

    The present invention constitutes a rain sampling device adapted for independent operation at locations remote from the user which allows rainfall to be sampled in accordance with any schedule desired by the user. The rain sampling device includes a mechanism for directing wet precipitation into a chamber, a chamber for temporarily holding the precipitation during the process of collection, a valve mechanism for controllably releasing samples of said precipitation from said chamber, a means for distributing the samples released from the holding chamber into vessels adapted for permanently retaining these samples, and an electrical mechanism for regulating the operation of the device.

  19. Water Sampling At Valles Caldera - Sulphur Springs Geothermal...

    Open Energy Info (EERE)

    Water Sampling At Valles Caldera - Sulphur Springs Geothermal Area (Goff, Et Al., 1982) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Water...

  20. DOE Releases Biological Monitoring and Sampling Results Report...

    Office of Environmental Management (EM)

    for the Amchitka, Alaska, site. The report provides the results of terrestrial and marine sampling in the areas surrounding Amchitka and Adak Islands in 2011 to determine...

  1. EML Surface Air Sampling Program, 1989 data

    SciTech Connect (OSTI)

    Larsen, R.J.; Sanderson, C.G.

    1991-08-01

    Measurements of the concentrations of specific atmospheric radionuclides in air filter samples collected for the Environmental Measurements Laboratory`s Surface Air Sampling Program (SASP) during 1989 indicate that anthropogenic radionuclides, in both hemispheres, were at or below the lower limits of detection for the analytical and sampling techniques that were used to measure them. During 1989, the occasional detection of {sup 137}Cs in some air filter samples may have resulted from resuspension of previously deposited debris. The naturally occurring radioisotopes that we measure, {sup 7}Be and {sup 210}Pb, continue to be detected in most air filter samples. The 1989 annual mean concentrations of {sup 7}Be at many of the sites were lower than those previously reported during the last decade. Possible changes in the atmospheric production of {sup 7}Be, variations in atmospheric circulation and precipitation patterns, as well as modifications to our sampling procedure many all have contributed to this observed trend. Short-term variations in the concentrations of {sup 7}Be and {sup 210}Pb continued to be observed at many sites at which weekly air filter samples were analyzed. These short-term fluctuations probably resulted from variations in meteorological factors. The data from our quality control samples indicate that the reliability of the air filter measurements are acceptable for their intended application.

  2. EML Surface Air Sampling Program, 1989 data

    SciTech Connect (OSTI)

    Larsen, R.J.; Sanderson, C.G.

    1991-08-01

    Measurements of the concentrations of specific atmospheric radionuclides in air filter samples collected for the Environmental Measurements Laboratory's Surface Air Sampling Program (SASP) during 1989 indicate that anthropogenic radionuclides, in both hemispheres, were at or below the lower limits of detection for the analytical and sampling techniques that were used to measure them. During 1989, the occasional detection of {sup 137}Cs in some air filter samples may have resulted from resuspension of previously deposited debris. The naturally occurring radioisotopes that we measure, {sup 7}Be and {sup 210}Pb, continue to be detected in most air filter samples. The 1989 annual mean concentrations of {sup 7}Be at many of the sites were lower than those previously reported during the last decade. Possible changes in the atmospheric production of {sup 7}Be, variations in atmospheric circulation and precipitation patterns, as well as modifications to our sampling procedure many all have contributed to this observed trend. Short-term variations in the concentrations of {sup 7}Be and {sup 210}Pb continued to be observed at many sites at which weekly air filter samples were analyzed. These short-term fluctuations probably resulted from variations in meteorological factors. The data from our quality control samples indicate that the reliability of the air filter measurements are acceptable for their intended application.

  3. Transuranic waste characterization sampling and analysis plan

    SciTech Connect (OSTI)

    NONE

    1994-12-31

    Los Alamos National Laboratory (the Laboratory) is located approximately 25 miles northwest of Santa Fe, New Mexico, situated on the Pajarito Plateau. Technical Area 54 (TA-54), one of the Laboratory`s many technical areas, is a radioactive and hazardous waste management and disposal area located within the Laboratory`s boundaries. The purpose of this transuranic waste characterization, sampling, and analysis plan (CSAP) is to provide a methodology for identifying, characterizing, and sampling approximately 25,000 containers of transuranic waste stored at Pads 1, 2, and 4, Dome 48, and the Fiberglass Reinforced Plywood Box Dome at TA-54, Area G, of the Laboratory. Transuranic waste currently stored at Area G was generated primarily from research and development activities, processing and recovery operations, and decontamination and decommissioning projects. This document was created to facilitate compliance with several regulatory requirements and program drivers that are relevant to waste management at the Laboratory, including concerns of the New Mexico Environment Department.

  4. Announced Dynamic Access Probability protocol for next generation wireless networks

    E-Print Network [OSTI]

    Levy, Hanoch

    Announced Dynamic Access Probability protocol for next generation wireless networks Z. NAOR #3; H probability. Keywords: wireless networks, multiple access, MAC #3; naorz@post.tau.ac.il y hanoch@cs.tau.ac.il 1 #12; 1 Introduction Wireless networks are rapidly expanding. Future satellite-based networks

  5. Probability distributions of land surface wind speeds over North America

    E-Print Network [OSTI]

    Dai, Aiguo

    Probability distributions of land surface wind speeds over North America Yanping He,1 Adam Hugh of the probability distributions of surface wind speeds (SWS) is essential for surface flux estimation, wind power estimation, and wind risk assessments. The two-parameter Weibull distribution is the most widely used

  6. Efficient Posterior Probability Mapping Using Savage-Dickey Ratios

    E-Print Network [OSTI]

    Penny, Will

    Efficient Posterior Probability Mapping Using Savage- Dickey Ratios William D. Penny*, Gerard R interactive manner. Citation: Penny WD, Ridgway GR (2013) Efficient Posterior Probability Mapping Using Savage, 2013 Copyright: Ã? 2013 Penny, Ridgway. This is an open-access article distributed under the terms

  7. A discussion on the origin of quantum probabilities

    SciTech Connect (OSTI)

    Holik, Federico; Departamento de Matemática - Ciclo Básico Común, Universidad de Buenos Aires - Pabellón III, Ciudad Universitaria, Buenos Aires ; Sáenz, Manuel; Plastino, Angel

    2014-01-15

    We study the origin of quantum probabilities as arising from non-Boolean propositional-operational structures. We apply the method developed by Cox to non distributive lattices and develop an alternative formulation of non-Kolmogorovian probability measures for quantum mechanics. By generalizing the method presented in previous works, we outline a general framework for the deduction of probabilities in general propositional structures represented by lattices (including the non-distributive case). -- Highlights: •Several recent works use a derivation similar to that of R.T. Cox to obtain quantum probabilities. •We apply Cox’s method to the lattice of subspaces of the Hilbert space. •We obtain a derivation of quantum probabilities which includes mixed states. •The method presented in this work is susceptible to generalization. •It includes quantum mechanics and classical mechanics as particular cases.

  8. Waste Area Group 10, Operable Unit 10-08, Annual Monitoring Status Report for Fiscal Year 2009

    SciTech Connect (OSTI)

    Howard Forsythe

    2010-02-04

    This report documents the status of Fiscal Year 2009 groundwater monitoring performed in Waste Area Group 10 at the U.S. Department of Energy Idaho National Laboratory Site, as identified in the Groundwater Monitoring and Field Sampling Plan for Operable Unit 10-08. Twelve of the fourteen required wells were sampled, and all ten required intervals from the Westbay wells were sampled. Two wells were not sampled because they were in the process of being converted into multiple-sample-interval Westbay wells by the U.S. Geological Survey. Groundwater samples were analyzed for volatile organic compounds identified on the Contract Laboratory Program target analyte list as well as metals (filtered), anions, and radionuclides (i.e., I-129, tritium, Tc-99, gross alpha, gross beta, and Sr-90). No contaminant exceeded maximum contaminant levels in wells along the southern boundary of the Idaho National Laboratory Site or in guard wells. Iron was above its secondary maximum contaminant level of 300 ug/L in one well. The cause of the elevated iron concentration is uncertain. Lead was detected just below its action level. However, the zinc concentration was also elevated in these wells, and the source of the lead is probably galvanized riser pipe in the wells. Once the galvanized pipe is replaced, both lead and zinc concentrations should decline, as has been observed at other Waste Area Group 10 wells.

  9. Microsoft Word - Proposed Sampling UGTA Wells FY15-19.docx

    National Nuclear Security Administration (NNSA)

    Proposed Sampling of Underground Test Area Wells 2015-2019 1 Frenchman Flat Corrective Action Unit Number of Wells* Sampling Frequency (years) Analytes Tritium Detection Method...

  10. Performance of the Rayleigh task based on the posterior probability of tomographic reconstructions

    SciTech Connect (OSTI)

    Hanson, K.M.

    1991-01-01

    We seek the best possible performance of the Rayleigh task in which one must decide whether a perceived object is a pair of Gaussian-blurred points or a blurred line. Two Bayesian reconstruction algorithms are used, the first based on a Gaussian prior-probability distribution with a nonnegativity constraint and the second based on an entropic prior. In both cases, the reconstructions are found that maximize the posterior probability. We compare the performance of the Rayleigh task obtained with two decision variables, the logarithm of the posterior probability ratio and the change in the mean-squared deviation from the reconstruction. The method of evaluation is based on the results of a numerical testing procedure in which the stated discrimination task is carried out on reconstructions of a randomly generated sequence of images. The ability to perform the Rayleigh task is summarized in terms of a discrimination index that is derived from the area under the receiver-operating characteristic (ROC) curve. We find that the use of the posterior probability does not result in better performance of the Rayleigh task than the mean-squared deviation from the reconstruction. 10 refs., 6 figs.

  11. Sample Proficiency Test exercise

    SciTech Connect (OSTI)

    Alcaraz, A; Gregg, H; Koester, C

    2006-02-05

    The current format of the OPCW proficiency tests has multiple sets of 2 samples sent to an analysis laboratory. In each sample set, one is identified as a sample, the other as a blank. This method of conducting proficiency tests differs from how an OPCW designated laboratory would receive authentic samples (a set of three containers, each not identified, consisting of the authentic sample, a control sample, and a blank sample). This exercise was designed to test the reporting if the proficiency tests were to be conducted. As such, this is not an official OPCW proficiency test, and the attached report is one method by which LLNL might report their analyses under a more realistic testing scheme. Therefore, the title on the report ''Report of the Umpteenth Official OPCW Proficiency Test'' is meaningless, and provides a bit of whimsy for the analyses and readers of the report.

  12. Sample Environments at Sector 30

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

    Designs Two standard sample holder designs are below. Copper sample holder from ARS. ARS sample holde diagram picture Aluminum sample holder - custom design Al design Al pic...

  13. Lower and upper probabilities in the distributive lattice of subsystems

    E-Print Network [OSTI]

    A. Vourdas

    2014-10-08

    The set of subsystems of a finite quantum system (with variables in Z(n)) together with logical connectives, is a distributive lattice. With regard to this lattice, the (where P(m) is the projector to) obeys a supermodularity inequality, and it is interpreted as a lower probability in the sense of the Dempster-Shafer theory, and not as a Kolmogorov probability. It is shown that the basic concepts of the Dempster-Shafer theory (lower and upper probabilities and the Dempster multivaluedness) are pertinent to the quantum formalism of finite systems.

  14. MATH 471 PROBABILITY UNIVERSITY OF HAWAII AT MANOA

    E-Print Network [OSTI]

    Faber, Xander

    MATH 471 ­ PROBABILITY UNIVERSITY OF HAWAII AT MANOA FALL 2012 Professor Info: Dr. Xander Faber 404 Physical Sciences Building xander@math.hawaii.edu www.math.hawaii.edu/xander/ Office Hours -- MW 10

  15. Rateless Code Based Multimedia Multicasting with Outage Probability Constraints

    E-Print Network [OSTI]

    Blostein, Steven D.

    Rateless Code Based Multimedia Multicasting with Outage Probability Constraints Wei Sheng, Wai encoding transmission (PET)-based packetization structure [1] combined with rateless codes. Outage is capable of minimizing the transmission cost while simultaneously guaranteeing outage prob- ability

  16. Review of Literature for Model Assisted Probability of Detection

    SciTech Connect (OSTI)

    Meyer, Ryan M.; Crawford, Susan L.; Lareau, John P.; Anderson, Michael T.

    2014-09-30

    This is a draft technical letter report for NRC client documenting a literature review of model assisted probability of detection (MAPOD) for potential application to nuclear power plant components for improvement of field NDE performance estimations.

  17. Toward a Full Probability Model of Edges in Natural Images

    E-Print Network [OSTI]

    linear decompositions of an image into basis images. Our work is inspired by David Marr's ideas [17 called \\primal sketch". The basic questions we ask are: What are the probability distributions of Marr

  18. Probability 1 computation with chemical reaction networks Rachel Cummings

    E-Print Network [OSTI]

    Probability 1 computation with chemical reaction networks Rachel Cummings David Doty David Soloveichik§ Abstract The computational power of stochastic chemical reaction networks (CRNs) varies signifi computation. How can chemical reactions process information, make decisions, and solve problems? A natural

  19. Forecasting the probability of forest fires in Northeast Texas 

    E-Print Network [OSTI]

    Wadleigh, Stuart Allen

    1972-01-01

    FORECASTING THE PROBABILITY OF FOREST FIRES IN NORTHEAST TEXAS A Thesis by STUART ALLEN WADLEIGH Submit ted to the Graduate College of Texas ASM University in partial fulfillment of the requirement for the degree of MASTER OF SCIENCE... December 1972 Major Subject: Meteorology FORECASTING THE PROBABILITY OF FOREST FIRES IN NORTHEAST TEXAS A Thesis by STUART ALLEN WADLEIGH Approved as to style and content by: ( irman of ee) (Head of Depar nt) (Member) (Member) December 1972 c...

  20. The resonance absorption probability function for neutron and multiplicative integral

    E-Print Network [OSTI]

    V. D. Rusov; V. A. Tarasov; S. I. Kosenko; S. A. Chernegenko

    2012-08-05

    The analytical approximations for the moderating neutrons flux density like Fermi spectra, widely used in reactor physics, involve the probability function for moderating neutron to avoid the resonant absorption obtained using some restrictive assumptions regarding the acceptable resonances width. By means of multiplicative integral (Volterra integral) theory for a commutative algebra an analytical expression for the probability function is obtained rigorously without any restrictive assumptions.

  1. Calculating the probability of detecting radio signals from alien civilizations

    E-Print Network [OSTI]

    Horvat, Marko

    2006-01-01

    Although it might not be self-evident, it is in fact entirely possible to calculate the probability of detecting alien radio signals by understanding what types of extraterrestrial radio emissions can be expected and what properties these emissions can have. Using the Drake equation as the obvious starting point, and logically identifying and enumerating constraints of interstellar radio communications can yield the probability of detecting a genuine alien radio signal.

  2. Calculating the probability of detecting radio signals from alien civilizations

    E-Print Network [OSTI]

    Marko Horvat

    2007-07-14

    Although it might not be self-evident, it is in fact entirely possible to calculate the probability of detecting alien radio signals by understanding what types of extraterrestrial radio emissions can be expected and what properties these emissions can have. Using the Drake equation as the obvious starting point, and logically identifying and enumerating constraints of interstellar radio communications can yield the probability of detecting a genuine alien radio signal.

  3. Linear feature selection and the probability of misclassification 

    E-Print Network [OSTI]

    Darcey, Louise Wilson

    1974-01-01

    ) (Member) May 1974 ABSTRACT Linear Feature Selecti. on and the Probability of Misclassification. (May 1974) Louise Wilson Darcey, B. S. , University of Texas at Austin Chairman of Advisory Committee: Dr. L. F. Guseman, Jr. A classifi. cation... procedure for n-dimensional normally distributed observation vectors which belong to one of two populations is described. In particular, a computational procedure is presented for finding a lxn vector B which minimizes the probability...

  4. XANES Identification of Plutonium Speciation in RFETS Samples

    SciTech Connect (OSTI)

    LoPresti, V.; Conradson, S.D.; Clark, D.L.

    2009-06-03

    Using primarily X-ray absorption near edge spectroscopy (XANES) with standards run in tandem with samples, probable plutonium speciation was determined for 13 samples from contaminated soil, acid-splash or fire-deposition building interior surfaces, or asphalt pads from the Rocky Flats Environmental Technology Site (RFETS). Save for extreme oxidizing situations, all other samples were found to be of Pu(IV) speciation, supporting the supposition that such contamination is less likely to show mobility off site. EXAFS analysis conducted on two of the 13 samples supported the validity of the XANES features employed as determinants of the plutonium valence.

  5. Characterizing common cause closedness of quantum probability theories

    E-Print Network [OSTI]

    Yuichiro Kitajima; Miklos Redei

    2015-03-15

    We prove new results on common cause closedness of quantum probability spaces, where by a quantum probability space is meant the projection lattice of a non-commutative von Neumann algebra together with a countably additive probability measure on the lattice. Common cause closedness is the feature that for every correlation between a pair of commuting projections there exists in the lattice a third projection commuting with both of the correlated projections and which is a Reichenbachian common cause of the correlation. The main result we prove is that a quantum probability space is common cause closed if and only if it has at most one measure theoretic atom. This result improves earlier ones published in Z. GyenisZ and M. Redei Erkenntnis 79 (2014) 435-451. The result is discussed from the perspective of status of the Common Cause Principle. Open problems on common cause closedness of general probability spaces $(\\mathcal{L},\\phi)$ are formulated, where $\\mathcal{L}$ is an orthomodular bounded lattice and $\\phi$ is a probability measure on $\\mathcal{L}$.

  6. Sampling system and method

    DOE Patents [OSTI]

    Decker, David L.; Lyles, Brad F.; Purcell, Richard G.; Hershey, Ronald Lee

    2013-04-16

    The present disclosure provides an apparatus and method for coupling conduit segments together. A first pump obtains a sample and transmits it through a first conduit to a reservoir accessible by a second pump. The second pump further conducts the sample from the reservoir through a second conduit.

  7. IDENTIFICATION Your Sample Box

    E-Print Network [OSTI]

    Liskiewicz, Maciej

    to Virginia Tech Soil Testing Lab, 145 Smyth Hall (MC 0465), 185 Ag Quad Ln, Blacksburg VA 24061, in sturdy, K, Ca, Mg, Zn, Mn, Cu, Fe, B, and soluble salts) NoCharge $16.00 Organic Matter $4.00 $6.00 Fax with soil sample and form; make check or money order payable to "Treasurer, Virginia Tech." COST PER SAMPLE

  8. Free Standing Soil Sample

    E-Print Network [OSTI]

    Stuart, Steven J.

    Free Standing Soil Sample Kiosks Clemson University Cooperative Extension Service Reportto of Richland County, Jackie Kopack Jordan has partnered with local garden centers to provide free standing soil sample collections sites. The free standing kiosks are located at three local garden centers. Woodley

  9. Wildlife Management Areas (Florida)

    Broader source: Energy.gov [DOE]

    Certain sites in Florida are designated as wildlife management areas, and construction and development is heavily restricted in these areas.

  10. Vapor port and groundwater sampling well

    DOE Patents [OSTI]

    Hubbell, J.M.; Wylie, A.H.

    1996-01-09

    A method and apparatus have been developed for combining groundwater monitoring wells with unsaturated-zone vapor sampling ports. The apparatus allows concurrent monitoring of both the unsaturated and the saturated zone from the same well at contaminated areas. The innovative well design allows for concurrent sampling of groundwater and volatile organic compounds (VOCs) in the vadose (unsaturated) zone from a single well, saving considerable time and money. The sample tubes are banded to the outer well casing during installation of the well casing. 10 figs.

  11. Vapor port and groundwater sampling well

    DOE Patents [OSTI]

    Hubbell, Joel M. (Idaho Falls, ID); Wylie, Allan H. (Idaho Falls, ID)

    1996-01-01

    A method and apparatus has been developed for combining groundwater monitoring wells with unsaturated-zone vapor sampling ports. The apparatus allows concurrent monitoring of both the unsaturated and the saturated zone from the same well at contaminated areas. The innovative well design allows for concurrent sampling of groundwater and volatile organic compounds (VOCs) in the vadose (unsaturated) zone from a single well, saving considerable time and money. The sample tubes are banded to the outer well casing during installation of the well casing.

  12. Probability of the most massive cluster under non-Gaussian initial conditions

    E-Print Network [OSTI]

    Laura Cayón; Christopher Gordon; Joseph Silk

    2011-03-22

    Very massive high redshift clusters can be used to constrain and test the Lambda CDM model. Taking into account the observational constraints of Jee et al. (2009) we have calculated the probability for the most massive cluster to be found in the range (5.2-7.6)e14 M_sun, between redshifts 1.4-2.2, with a sky area of 11 sqdeg and under non-Gaussian initial conditions. Clusters constrain the non-Gaussianity on smaller scales than current cosmic microwave background or halo bias data and so can be used to test for running of the non-Gaussianity parameter f_NL.

  13. Area Activation 1 Running Head: AREA ACTIVATION

    E-Print Network [OSTI]

    Pomplun, Marc

    Area Activation 1 Running Head: AREA ACTIVATION Advancing Area Activation towards a General Model at Boston 100 Morrissey Boulevard Boston, MA 02125-3393 USA Phone: 617-287-6485 Fax: 617-287-6433 e. Without great effort, human observers clearly outperform every current artificial vision system in tasks

  14. Some Applications of the Fractional Poisson Probability Distribution

    E-Print Network [OSTI]

    Nick Laskin

    2011-11-17

    Physical and mathematical applications of fractional Poisson probability distribution have been presented. As a physical application, a new family of quantum coherent states has been introduced and studied. As mathematical applications, we have discovered and developed the fractional generalization of Bell polynomials, Bell numbers, and Stirling numbers. Appearance of fractional Bell polynomials is natural if one evaluates the diagonal matrix element of the evolution operator in the basis of newly introduced quantum coherent states. Fractional Stirling numbers of the second kind have been applied to evaluate skewness and kurtosis of the fractional Poisson probability distribution function. A new representation of Bernoulli numbers in terms of fractional Stirling numbers of the second kind has been obtained. A representation of Schlafli polynomials in terms of fractional Stirling numbers of the second kind has been found. A new representations of Mittag-Leffler function involving fractional Bell polynomials and fractional Stirling numbers of the second kind have been discovered. Fractional Stirling numbers of the first kind have been introduced and studied. Two new polynomial sequences associated with fractional Poisson probability distribution have been launched and explored. The relationship between new polynomials and the orthogonal Charlier polynomials has also been investigated. In the limit case when the fractional Poisson probability distribution becomes the Poisson probability distribution, all of the above listed developments and implementations turn into the well-known results of quantum optics, the theory of combinatorial numbers and the theory of orthogonal polynomials of discrete variable.

  15. Water Sample Concentrator

    ScienceCinema (OSTI)

    Idaho National Laboratory

    2010-01-08

    Automated portable device that concentrates and packages a sample of suspected contaminated water for safe, efficient transport to a qualified analytical laboratory. This technology will help safeguard against pathogen contamination or chemical and biolog

  16. Liquid scintillator sampling calorimetry 

    E-Print Network [OSTI]

    Dudgeon, R. Greg

    1994-01-01

    This research was supported by the Department of Energy to investigate a new sampling calorimeter technology for the high intensity regions of the Superconducting Supercollider. The technology involved using liquid scintillator filled glass tubes...

  17. Sample Changes and Issues

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

    EIA-914 Survey and HPDI. Figure 2 shows how this could change apparent production. The blue line shows the reported sample production as it would normally be reported under the...

  18. Dissolution actuated sample container

    DOE Patents [OSTI]

    Nance, Thomas A.; McCoy, Frank T.

    2013-03-26

    A sample collection vial and process of using a vial is provided. The sample collection vial has an opening secured by a dissolvable plug. When dissolved, liquids may enter into the interior of the collection vial passing along one or more edges of a dissolvable blocking member. As the blocking member is dissolved, a spring actuated closure is directed towards the opening of the vial which, when engaged, secures the vial contents against loss or contamination.

  19. SAMPLING AND ANALYSIS PROTOCOLS

    SciTech Connect (OSTI)

    Jannik, T; P Fledderman, P

    2007-02-09

    Radiological sampling and analyses are performed to collect data for a variety of specific reasons covering a wide range of projects. These activities include: Effluent monitoring; Environmental surveillance; Emergency response; Routine ambient monitoring; Background assessments; Nuclear license termination; Remediation; Deactivation and decommissioning (D&D); and Waste management. In this chapter, effluent monitoring and environmental surveillance programs at nuclear operating facilities and radiological sampling and analysis plans for remediation and D&D activities will be discussed.

  20. A statistical analysis of personnel contaminations in 200 Area facilities

    SciTech Connect (OSTI)

    Wagner, M.A.; Stoddard, D.H.

    1983-05-18

    This study determined the frequency statistics of personnel contaminations in 200 Area facilities. These statistics are utilized in probability calculations for contamination risks, and are part of an effort to provide reliable information for use in safety studies. Data for this analysis were obtained from the 200 Area and the Tritium Area Fault Tree Data Banks and were analyzed with the aid of the STATPAC computer code.

  1. Liquid sampling system

    DOE Patents [OSTI]

    Larson, L.L.

    1984-09-17

    A conduit extends from a reservoir through a sampling station and back to the reservoir in a closed loop. A jet ejector in the conduit establishes suction for withdrawing liquid from the reservoir. The conduit has a self-healing septum therein upstream of the jet ejector for receiving one end of a double-ended cannula, the other end of which is received in a serum bottle for sample collection. Gas is introduced into the conduit at a gas bleed between the sample collection bottle and the reservoir. The jet ejector evacuates gas from the conduit and the bottle and aspirates a column of liquid from the reservoir at a high rate. When the withdrawn liquid reaches the jet ejector the rate of flow therethrough reduces substantially and the gas bleed increases the pressure in the conduit for driving liquid into the sample bottle, the gas bleed forming a column of gas behind the withdrawn liquid column and interrupting the withdrawal of liquid from the reservoir. In the case of hazardous and toxic liquids, the sample bottle and the jet ejector may be isolated from the reservoir and may be further isolated from a control station containing remote manipulation means for the sample bottle and control valves for the jet ejector and gas bleed. 5 figs.

  2. Liquid sampling system

    DOE Patents [OSTI]

    Larson, Loren L. (Idaho Falls, ID)

    1987-01-01

    A conduit extends from a reservoir through a sampling station and back to the reservoir in a closed loop. A jet ejector in the conduit establishes suction for withdrawing liquid from the reservoir. The conduit has a self-healing septum therein upstream of the jet ejector for receiving one end of a double-ended cannula, the other end of which is received in a serum bottle for sample collection. Gas is introduced into the conduit at a gas bleed between the sample collection bottle and the reservoir. The jet ejector evacuates gas from the conduit and the bottle and aspirates a column of liquid from the reservoir at a high rate. When the withdrawn liquid reaches the jet ejector the rate of flow therethrough reduces substantially and the gas bleed increases the pressure in the conduit for driving liquid into the sample bottle, the gas bleed forming a column of gas behind the withdrawn liquid column and interrupting the withdrawal of liquid from the reservoir. In the case of hazardous and toxic liquids, the sample bottle and the jet ejector may be isolated from the reservoir and may be further isolated from a control station containing remote manipulation means for the sample bottle and control valves for the jet ejector and gas bleed.

  3. Ground Gravity Survey At San Francisco Volcanic Field Area (Warpinski...

    Open Energy Info (EERE)

    geologically mapped the target area, obtained rock samples for age dating and mineral chemistry, performed gravity and magnetic surveys, and integrated these results to identify...

  4. Ground Magnetics At San Francisco Volcanic Field Area (Warpinski...

    Open Energy Info (EERE)

    geologically mapped the target area, obtained rock samples for age dating and mineral chemistry, performed gravity and magnetic surveys, and integrated these results to identify...

  5. Field Mapping At San Francisco Volcanic Field Area (Warpinski...

    Open Energy Info (EERE)

    geologically mapped the target area, obtained rock samples for age dating and mineral chemistry, performed gravity and magnetic surveys, and integrated these results to identify...

  6. Quantum rejection sampling

    E-Print Network [OSTI]

    Maris Ozols; Martin Roetteler; Jérémie Roland

    2011-12-13

    Rejection sampling is a well-known method to sample from a target distribution, given the ability to sample from a given distribution. The method has been first formalized by von Neumann (1951) and has many applications in classical computing. We define a quantum analogue of rejection sampling: given a black box producing a coherent superposition of (possibly unknown) quantum states with some amplitudes, the problem is to prepare a coherent superposition of the same states, albeit with different target amplitudes. The main result of this paper is a tight characterization of the query complexity of this quantum state generation problem. We exhibit an algorithm, which we call quantum rejection sampling, and analyze its cost using semidefinite programming. Our proof of a matching lower bound is based on the automorphism principle which allows to symmetrize any algorithm over the automorphism group of the problem. Our main technical innovation is an extension of the automorphism principle to continuous groups that arise for quantum state generation problems where the oracle encodes unknown quantum states, instead of just classical data. Furthermore, we illustrate how quantum rejection sampling may be used as a primitive in designing quantum algorithms, by providing three different applications. We first show that it was implicitly used in the quantum algorithm for linear systems of equations by Harrow, Hassidim and Lloyd. Secondly, we show that it can be used to speed up the main step in the quantum Metropolis sampling algorithm by Temme et al.. Finally, we derive a new quantum algorithm for the hidden shift problem of an arbitrary Boolean function and relate its query complexity to "water-filling" of the Fourier spectrum.

  7. Fluid sampling system

    DOE Patents [OSTI]

    Houck, Edward D. (Idaho Falls, ID)

    1994-01-01

    An fluid sampling system allows sampling of radioactive liquid without spillage. A feed tank is connected to a liquid transfer jet powered by a pumping chamber pressurized by compressed air. The liquid is pumped upwardly into a sampling jet of a venturi design having a lumen with an inlet, an outlet, a constricted middle portion, and a port located above the constricted middle portion. The liquid is passed under pressure through the constricted portion causing its velocity to increase and its pressure to decreased, thereby preventing liquid from escaping. A septum sealing the port can be pierced by a two pointed hollow needle leading into a sample bottle also sealed by a pierceable septum affixed to one end. The bottle is evacuated by flow through the sample jet, cyclic variation in the sampler jet pressure periodically leaves the evacuated bottle with lower pressure than that of the port, thus causing solution to pass into the bottle. The remaining solution in the system is returned to the feed tank via a holding tank.

  8. Fluid sampling system

    DOE Patents [OSTI]

    Houck, E.D.

    1994-10-11

    An fluid sampling system allows sampling of radioactive liquid without spillage. A feed tank is connected to a liquid transfer jet powered by a pumping chamber pressurized by compressed air. The liquid is pumped upwardly into a sampling jet of a venturi design having a lumen with an inlet, an outlet, a constricted middle portion, and a port located above the constricted middle portion. The liquid is passed under pressure through the constricted portion causing its velocity to increase and its pressure to be decreased, thereby preventing liquid from escaping. A septum sealing the port can be pierced by a two pointed hollow needle leading into a sample bottle also sealed by a pierceable septum affixed to one end. The bottle is evacuated by flow through the sample jet, cyclic variation in the sampler jet pressure periodically leaves the evacuated bottle with lower pressure than that of the port, thus causing solution to pass into the bottle. The remaining solution in the system is returned to the feed tank via a holding tank. 4 figs.

  9. Large Area Vacuum Deposited Coatings

    SciTech Connect (OSTI)

    Martin, Peter M.

    2003-04-30

    It's easy to make the myriad of types of large area and decorative coatings for granted. We probably don't even think about most of them; the low-e and heat mirror coatings on our windows and car windows, the mirrors in displays, antireflection coatings on windows and displays, protective coatings on aircraft windows, heater coatings on windshields and aircraft windows, solar reflectors, thin film solar cells, telescope mirrors, Hubble mirrors, transparent conductive coatings, and the list goes on. All these products require large deposition systems and chambers. Also, don't forget that large batches of small substrates or parts are coated in large chambers. In order to be cost effective hundreds of ophthalmic lenses, automobile reflectors, display screens, lamp reflectors, cell phone windows, laser reflectors, DWDM filters, are coated in batches.

  10. Viscous sludge sample collector

    DOE Patents [OSTI]

    Beitel, George A [Richland, WA

    1983-01-01

    A vertical core sample collection system for viscous sludge. A sample tube's upper end has a flange and is attached to a piston. The tube and piston are located in the upper end of a bore in a housing. The bore's lower end leads outside the housing and has an inwardly extending rim. Compressed gas, from a storage cylinder, is quickly introduced into the bore's upper end to rapidly accelerate the piston and tube down the bore. The lower end of the tube has a high sludge entering velocity to obtain a full-length sludge sample without disturbing strata detail. The tube's downward motion is stopped when its upper end flange impacts against the bore's lower end inwardly extending rim.

  11. Probability around the Quantum Gravity. Part 1: Planar Pure Gravity

    E-Print Network [OSTI]

    Probability around the Quantum Gravity. Part 1: Planar Pure Gravity V.A.Malyshev \\Lambda September 17, 1998 Abstract In this paper we study stochastic dynamics which leaves quantum gravity equilibrium science and biology. At the same time the paper can serve an intro­ duction to quantum gravity

  12. Probability Density Function Estimation Using Orthogonal Forward Regression

    E-Print Network [OSTI]

    Chen, Sheng

    Probability Density Function Estimation Using Orthogonal Forward Regression S. Chen, X. Hong and C estimation is formulated as a regression problem and the orthogonal forward regression tech- nique is adopted procedure. Two examples are used to demonstrate the ability of this regression- based approach

  13. Rutgers Applied Probability Conference Department of Management Science & Information Systems

    E-Print Network [OSTI]

    2nd Rutgers Applied Probability Conference Department of Management Science & Information Systems and the Management Sciences, New Jersey Chapter Stochastic Methods in Information Technology December 6 in memory of Research and the Management Sciences, New Jersey Chapter Stochastic Methods in Information Technology Ben

  14. Probability Distribution of Low Streamflow Series in the United States

    E-Print Network [OSTI]

    Vogel, Richard M.

    estimates are crucial for: 1 water quality man- agement; 2 issuing or renewing National Pollution Discharge Elimination System NPDES permits; 3 planning water sup- plies, hydropower, cooling and irrigation systems the frequency of low streamflow series can be adequately modeled using a particular probability distribution

  15. What is the probability of a thermodynamical transition?

    E-Print Network [OSTI]

    Álvaro M. Alhambra; Jonathan Oppenheim; Christopher Perry

    2015-04-07

    If the second law of thermodynamics forbids a transition from one state to another, then it is still possible to make the transition happen by using a sufficient amount of work. But if we do not have access to this amount of work, can the transition happen probabilistically? In the thermodynamic limit, this probability tends to zero, but here we find that for finite-sized systems, it can be finite. We compute the maximum probability of a transition or a thermodynamical fluctuation from any initial state to any final state, and show that this maximum can be achieved for any final state which is block-diagonal in the energy eigenbasis. We also find upper and lower bounds on this transition probability, in terms of the work of transition. As a bi-product, we introduce a finite set of thermodynamical monotones related to the thermo-majorization criteria which governs state transitions, and compute the work of transition in terms of them. The trade-off between the probability of a transition, and any partial work added to aid in that transition is also considered. Our results have applications in entanglement theory, and we find the amount of entanglement required (or gained) when transforming one pure entangled state into any other.

  16. STATISTICAL ASSESSMENT OF PROBABILITY OF DETECTION FOR AUTOMATED EDDY CURRENT

    E-Print Network [OSTI]

    STATISTICAL ASSESSMENT OF PROBABILITY OF DETECTION FOR AUTOMATED EDDY CURRENT NONDESTRUCTIVE for Nondestructive Evaluation, Iowa State University, Ames, Iowa, USA Abstract: Eddy current inspection is widely response collected using our motion controlled eddy current inspection system, are used in the analysis

  17. Time-of-arrival probabilities for general particle detectors

    E-Print Network [OSTI]

    Charis Anastopoulos; Ntina Savvidou

    2012-07-16

    We develop a general framework for the construction of probabilities for the time of arrival in quantum systems. The time of arrival is identified with the time instant when a transition in the detector's degrees of freedom takes place. Thus, its definition is embedded within the larger issue of defining probabilities with respect to time for general quantum transitions. The key point in our analysis is that we manage to reduce the problem of defining a quantum time observable to a mathematical model where time is associated to a transition from a subspace of the Hilbert space of the total system to its complementary subspace. This property makes it possible to derive a general expression for the probability for the time of transition, valid for any quantum system, with the only requirement that the time of transition is correlated with a definite macroscopic record. The framework developed here allows for the consideration of any experimental configuration for the measurement of the time of arrival and it also applies to relativistic systems with interactions described by quantum field theory. We use the method in order to describe time-of-arrival measurements in high-energy particle reactions and for a rigorous derivation of the time-integrated probabilities in particle oscillations.

  18. Neural Network Probability Estimation for Broad Coverage Parsing

    E-Print Network [OSTI]

    (Ratnaparkhi, 1999; Collins, 1999; Charniak, 2001) are based on a history-based probability model (Black et al-crafted finite set of features to represent the unbounded parse history (Ratna- parkhi, 1999; Collins, 1999 Sim- ple Synchrony Networks (SSNs) (Lane and Hen- derson, 2001; Henderson, 2000). Because

  19. Grinstead and Snell's Introduction to Probability The CHANCE Project1

    E-Print Network [OSTI]

    Zhou, Harrison Huibin

    to Probability, 2nd edition', published by the American Mathematical So- ciety, Copyright (C) 2003 Charles M . . . . . . . . . . . . . . . . . . . . . . . . . 433 11.4 Fundamental Limit Theorem . . . . . . . . . . . . . . . . . . . . . . 447 11.5 Mean First of chance. Problems like those Pascal and Fermat solved continued to influence such early researchers

  20. The Emergence and Interpretation of Probability in Bohmian Mechanics1

    E-Print Network [OSTI]

    Callender, Craig

    The Emergence and Interpretation of Probability in Bohmian Mechanics1 The Bohm interpretation of quantum mechanics is capable of illustrating, by itself, virtually every philosophical and foundational comes in many forms, both stochastic and deterministic. The other reason is that quantum mechanics

  1. Quantum mechanical reaction probabilities with a power series Green's function

    E-Print Network [OSTI]

    Miller, William H.

    Quantum mechanical reaction probabilities with a power series Green's function Scott M. Auerbach 1993) We present a new method to compute the energy Green's function with absorbing boundary conditions be superior to the fast Fourier transform method for reactive scattering. We apply the resulting power series

  2. Journal of Philosophy, Inc. Implications of Personal Probability for Induction

    E-Print Network [OSTI]

    Barrett, Jeffrey A.

    Journal of Philosophy, Inc. Implications of Personal Probability for Induction Author(s): Leonard J. Savage Source: The Journal of Philosophy, Vol. 64, No. 19, Sixty-Fourth Annual Meeting of the American Philosophical Association, Eastern Division (Oct. 5, 1967), pp. 593-607 Published by: Journal of Philosophy, Inc

  3. Word learning, phonological short-term memory, phonotactic probability and

    E-Print Network [OSTI]

    Gupta, Prahlad

    Word learning, phonological short-term memory, phonotactic probability and long-term memory of Iowa, Iowa City, IA 52242, USA Word learning is studied in a multitude of ways, and it is often for thinking about various types of studies of word learning. We then review a number of themes that in recent

  4. A converse Lyapunov theorem for asymptotic stability in probability

    E-Print Network [OSTI]

    Hespanha, João Pedro

    1 A converse Lyapunov theorem for asymptotic stability in probability A.R. Teel, J.P. Hespanha, A. Subbaraman Abstract A converse Lyapunov theorem is established for discrete-time stochastic systems with non implies the existence of a continuous Lyapunov function, smooth outside of the attractor, that decreases

  5. Spin flip probability of electron in a uniform magnetic field

    SciTech Connect (OSTI)

    Hammond, Richard T. [Department of Physics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina and Army Research Office, Research Triangle Park, North Carolina 27703 (United States)

    2012-03-19

    The probability that an electromagnetic wave can flip the spin of an electron is calculated. It is assumed that the electron resides in a uniform magnetic field and interacts with an incoming electromagnetic pulse. The scattering matrix is constructed and the time needed to flip the spin is calculated.

  6. Math 30530: Introduction to Probability, Fall 2012 Midterm Exam I

    E-Print Network [OSTI]

    Galvin, David

    ), brewing the elixir of life (40% of the times) and creating the Philosopher's stone (40% of the time). When he tries to turn lead into gold, the result always ends with a explosion; when he brews the elixir conclude is the probability that he has just missed a demonstration of brewing the elixir of life? Solution

  7. A Probability Analysis for Frequent Itemset Mining Algorithms Nele Dexters

    E-Print Network [OSTI]

    Antwerpen, Universiteit

    M Research Group, University of Antwerp, Belgium Since the introduction of the Frequent Itemset Mining (FIMA Probability Analysis for Frequent Itemset Mining Algorithms Nele Dexters PhD student, ADRe, Mining Association Rules between Sets of Items in Large Databases, in Proc. ACM SIGMOD Conference

  8. CLIMATE RISK COMMUNICATION: EFFECTS OF COST, TIMING, AND PROBABILITY OF

    E-Print Network [OSTI]

    Spirtes, Peter

    Chapter 2 CLIMATE RISK COMMUNICATION: EFFECTS OF COST, TIMING, AND PROBABILITY OF CLIMATE of Technology, Mandi, India 2 Dynamic Decision Making Laboratory, Department of Social and Decision Sciences the psychology of policymaking on climate change. Yet, experiencing climate change consequences in movies

  9. THE FOURIERSERIES METHOD FOR INVERTING TRANSFORMS OF PROBABILITY DISTRIBUTIONS

    E-Print Network [OSTI]

    Whitt, Ward

    Ward Whitt 900 Hammond Road AT&T Bell Laboratories Ridgewood, NJ 07450­2908 Room 2C­178 Murray Hill, NJ; THE FOURIER­SERIES METHOD FOR INVERTING TRANSFORMS OF PROBABILITY DISTRIBUTIONS by Joseph Abate Ward Whitt 900 Hammond Road AT&T Bell Laboratories Ridgewood, NJ 07450­2908 Room 2C­178 Murray Hill, NJ 07974

  10. STATISTICAL HYPOTHESIS GENERATION: DETERMINING THE MOST PROBABLE SUBSET

    E-Print Network [OSTI]

    California at Los Angeles, University of

    , of a scientific production line in which data is fed into one end and knowledge comes out of the other. Gauss for a partially automated hypothesis formulation process. The proposed hypothesis formulation process generates, the one that seems more probable should always be chosen (1713). Because of the automated nature

  11. Procedures for sampling radium-contaminated soils

    SciTech Connect (OSTI)

    Fleischhauer, H.L.

    1985-10-01

    Two procedures for sampling the surface layer (0 to 15 centimeters) of radium-contaminated soil are recommended for use in remedial action projects. Both procedures adhere to the philosophy that soil samples should have constant geometry and constant volume in order to ensure uniformity. In the first procedure, a ''cookie cutter'' fashioned from pipe or steel plate, is driven to the desired depth by means of a slide hammer, and the sample extracted as a core or plug. The second procedure requires use of a template to outline the sampling area, from which the sample is obtained using a trowel or spoon. Sampling to the desired depth must then be performed incrementally. Selection of one procedure over the other is governed primarily by soil conditions, the cookie cutter being effective in nongravelly soils, and the template procedure appropriate for use in both gravelly and nongravelly soils. In any event, a minimum sample volume of 1000 cubic centimeters is recommended. The step-by-step procedures are accompanied by a description of the minimum requirements for sample documentation. Transport of the soil samples from the field is then addressed in a discussion of the federal regulations for shipping radioactive materials. Interpretation of those regulations, particularly in light of their application to remedial action soil-sampling programs, is provided in the form of guidance and suggested procedures. Due to the complex nature of the regulations, however, there is no guarantee that our interpretations of them are complete or entirely accurate. Preparation of soil samples for radium-226 analysis by means of gamma-ray spectroscopy is described.

  12. Plutonium contamination in soils in open space and residential areas near Rocky Flats, Colorado

    SciTech Connect (OSTI)

    Litaor, M.I.

    1999-02-01

    Spatial analysis of the {sup 240}Pu:{sup 239}Pu isotopic ratio of 42 soil samples collected around Rocky Flats Plant near Golden, Colorado, was conducted to assess the effect of Rocky Flats Plant activity on the soil environment. Two probability maps that quantified the uncertainty of the spatial distribution of plutonium isotopic ratios were constructed using the sequential Gaussian simulation technique (sGs). Assuming a plutonium isotopic ratio range of 0.152 {+-} 0.003 to 0.169 {+-} 0.009 is characteristic to global fallout in Colorado, and a mean value of 0.155 is representative for the Rocky Flats Plant area, the main findings of the current work were (1) the areas northwest and southwest of Rocky Flats Plant exhibited a plutonium ratio {ge}0.155, this were minimally impacted by the plant activity; (2) he study area east of Rocky Flats Plant exhibited a plutonium isotopic ratio {le}0.155, which is a definitive indicator of Rocky Flats Plant-derived plutonium; and (3) inventory calculations across the study area exhibited large standard error of estimates. These errors were originated from the high variability in plutonium activity over a small sampling scale and the uncertainty in the global fallout isotopic ratio. Using the mean simulated estimates of plutonium isotopic ratio, coupled with plutonium activity measured at 11 soil pits and additional plutonium information published elsewhere, the plutonium loading on the open space and residential areas amounted to 111.2 GBq, with a standard error of estimate of 50.8 GBq.

  13. Sampling Report for May-June, 2014 WIPP Samples

    Office of Environmental Management (EM)

    1 L L N L - X X X X - X X X X X Sampling Report for May- June, 2014 WIPP Samples UNCLASSIFIED Forensic Science Center January 8, 2015 Sampling Report for May-June, 2014 WIPP...

  14. Probability distribution functions in the finite density lattice QCD

    E-Print Network [OSTI]

    S. Ejiri; Y. Nakagawa; S. Aoki; K. Kanaya; H. Saito; T. Hatsuda; H. Ohno; T. Umeda

    2012-12-04

    We study the phase structure of QCD at high temperature and density by lattice QCD simulations adopting a histogram method. We try to solve the problems which arise in the numerical study of the finite density QCD, focusing on the probability distribution function (histogram). As a first step, we investigate the quark mass dependence and the chemical potential dependence of the probability distribution function as a function of the Polyakov loop when all quark masses are sufficiently large, and study the properties of the distribution function. The effect from the complex phase of the quark determinant is estimated explicitly. The shape of the distribution function changes with the quark mass and the chemical potential. Through the shape of the distribution, the critical surface which separates the first order transition and crossover regions in the heavy quark region is determined for the 2+1-flavor case.

  15. Systematics of fusion probability in "hot" fusion reactions

    E-Print Network [OSTI]

    Ning Wang; Junlong Tian; Werner Scheid

    2011-12-28

    The fusion probability in "hot" fusion reactions leading to the synthesis of super-heavy nuclei is investigated systematically. The quasi-fission barrier influences the formation of the super-heavy nucleus around the "island of stability" in addition to the shell correction. Based on the quasi-fission barrier height obtained with the Skyrme energy-density functional, we propose an analytical expression for the description of the fusion probability, with which the measured evaporation residual cross sections can be reproduced acceptably well. Simultaneously, some special fusion reactions for synthesizing new elements 119 and 120 are studied. The predicted evaporation residual cross sections for 50Ti+249Bk are about 10-150fb at energies around the entrance-channel Coulomb barrier. For the fusion reactions synthesizing element 120 with projectiles 54Cr and 58Fe, the cross sections fall to a few femtobarns which seems beyond the limit of the available facilities.

  16. What Determines the Sticking Probability of Water Molecules on Ice?

    SciTech Connect (OSTI)

    Batista, Enrique; Ayotte, Patrick; Bilic , Ante; Kay, Bruce D.; Jonsson, Hannes

    2005-11-22

    We present both experimental and theoretical studies of the sticking of water molecules on ice. The sticking probability is unity over a wide range in energy (0.5 eV–1.5 eV) when the molecules are incident along the surface normal, but drops as the angle increases at high incident energy. This is explained in terms of the strong orientational dependence of the interaction of the molecule with the surface and the time required for the reorientation of the molecule. The sticking probability is found to scale with the component of the incident velocity in the plane of the surface, unlike the commonly assumed normal or total energy scaling.

  17. Analytical laboratory and mobile sampling platform

    SciTech Connect (OSTI)

    Stetzenbach, K.; Smiecinski, A.

    1996-04-30

    This is the final report for the Analytical Laboratory and Mobile Sampling Platform project. This report contains only major findings and conclusions resulting from this project. Detailed reports of all activities performed for this project were provided to the Project Office every quarter since the beginning of the project. This report contains water chemistry data for samples collected in the Nevada section of Death Valley National Park (Triangle Area Springs), Nevada Test Site springs, Pahranagat Valley springs, Nevada Test Site wells, Spring Mountain springs and Crater Flat and Amargosa Valley wells.

  18. Economic choices reveal probability distortion in macaque monkeys

    E-Print Network [OSTI]

    Stauffer, William R.; Lak, Armin; Bossaerts, Peter; Schultz, Wolfram

    2015-02-17

    , similar to humans, monkeys displayed an inverted S-shaped probability weighting function with a crossover point below p? 0.5. Materials andMethods Animals and experimental setup. Twomale rhesusmonkeys (Macacamu- latta) were used for these studies (9... - portional to the SD of a binomial distribution, ?? p ? ?1 ? p?, and po- sition LR indicated the position (right or left) of the cues on the screen. Each regression coefficient was standardized by multiplying the raw re- gression coefficient with the ratio...

  19. Using percolation techniques to estimate interwell connectivity probability 

    E-Print Network [OSTI]

    Li, Weiqiang

    2009-06-02

    results for fluid travel time between locations in a percolation model, we developed a method to estimate interwell connectivity. Three parameters are needed to use this approach: the sandbody occupied probability sand p , the dimensionless reservoir... and can estimate the interwell connectivity accurately for thin intervals with sand p in the 60% to 80% range. The proposed method requires that the reservoir interval for evaluation be sufficiently thin so that 2D percolation results can...

  20. Simple and Compact Expressions for Neutrino Oscillation Probabilities in Matter

    E-Print Network [OSTI]

    Hisakazu Minakata; Stephen J Parke

    2015-05-07

    We reformulate perturbation theory for neutrino oscillations in matter with an expansion parameter related to the ratio of the solar to the atmospheric Delta m^2 scales. Unlike previous works, we use a renormalized basis in which certain first-order effects are taken into account in the zeroth-order Hamiltonian. Using this perturbation theory we derive extremely compact expressions for the neutrino oscillation probabilities in matter. We find, for example, that the $\

  1. Evaluations of Structural Failure Probabilities and Candidate Inservice Inspection Programs

    SciTech Connect (OSTI)

    Khaleel, Mohammad A.; Simonen, Fredric A.

    2009-05-01

    The work described in this report applies probabilistic structural mechanics models to predict the reliability of nuclear pressure boundary components. These same models are then applied to evaluate the effectiveness of alternative programs for inservice inspection to reduce these failure probabilities. Results of the calculations support the development and implementation of risk-informed inservice inspection of piping and vessels. Studies have specifically addressed the potential benefits of ultrasonic inspections to reduce failure probabilities associated with fatigue crack growth and stress-corrosion cracking. Parametric calculations were performed with the computer code pc-PRAISE to generate an extensive set of plots to cover a wide range of pipe wall thicknesses, cyclic operating stresses, and inspection strategies. The studies have also addressed critical inputs to fracture mechanics calculations such as the parameters that characterize the number and sizes of fabrication flaws in piping welds. Other calculations quantify uncertainties associated with the inputs calculations, the uncertainties in the fracture mechanics models, and the uncertainties in the resulting calculated failure probabilities. A final set of calculations address the effects of flaw sizing errors on the effectiveness of inservice inspection programs.

  2. What is the probability that radiation caused a particular cancer

    SciTech Connect (OSTI)

    Voelz, G.L.

    1983-01-01

    Courts, lawyers, health physicists, physicians, and others are searching for a credible answer to the question posed in the title of this paper. The cases in which the question arises frequently stem from an individual that has cancer and they, or their next-of-kin, are convinced that a past radiation exposure - usually small - is responsible for causing it. An arithmetic expression of this problem is simple: the probability of causation by the radiation dose in question is equal to the risk of cancer from the radiation dose divided by the risk of cancer from all causes. The application of risk factors to this equation is not so simple. It must involve careful evaluation of the reliability of and variations in risk coefficients for development of cancer due to radiation exposure, other carcinogenic agents, and natural causes for the particular individual. Examination of our knowledge of these various factors indicates that a large range in the answers can result due to the variability and imprecision of the data. Nevertheless, the attempts to calculate and the probability that radiation caused the cancer is extremely useful to provide a gross perspective on the probability of causation. It will likely rule in or out a significant number of cases despite the limitations in our understandings of the etiology of cancer and the risks from various factors. For the remaining cases, a thoughtful and educated judgment based on selected data and circumstances of the case will also be needed before the expert can develop and support his opinion.

  3. Recursive recovery of Markov transition probabilities from boundary value data

    SciTech Connect (OSTI)

    Patch, S.K.

    1994-04-01

    In an effort to mathematically describe the anisotropic diffusion of infrared radiation in biological tissue Gruenbaum posed an anisotropic diffusion boundary value problem in 1989. In order to accommodate anisotropy, he discretized the temporal as well as the spatial domain. The probabilistic interpretation of the diffusion equation is retained; radiation is assumed to travel according to a random walk (of sorts). In this random walk the probabilities with which photons change direction depend upon their previous as well as present location. The forward problem gives boundary value data as a function of the Markov transition probabilities. The inverse problem requires finding the transition probabilities from boundary value data. Problems in the plane are studied carefully in this thesis. Consistency conditions amongst the data are derived. These conditions have two effects: they prohibit inversion of the forward map but permit smoothing of noisy data. Next, a recursive algorithm which yields a family of solutions to the inverse problem is detailed. This algorithm takes advantage of all independent data and generates a system of highly nonlinear algebraic equations. Pluecker-Grassmann relations are instrumental in simplifying the equations. The algorithm is used to solve the 4 {times} 4 problem. Finally, the smallest nontrivial problem in three dimensions, the 2 {times} 2 {times} 2 problem, is solved.

  4. Sample introducing apparatus and sample modules for mass spectrometer

    DOE Patents [OSTI]

    Thompson, Cyril V. (Knoxville, TN); Wise, Marcus B. (Kingston, TN)

    1993-01-01

    An apparatus for introducing gaseous samples from a wide range of environmental matrices into a mass spectrometer for analysis of the samples is described. Several sample preparing modules including a real-time air monitoring module, a soil/liquid purge module, and a thermal desorption module are individually and rapidly attachable to the sample introducing apparatus for supplying gaseous samples to the mass spectrometer. The sample-introducing apparatus uses a capillary column for conveying the gaseous samples into the mass spectrometer and is provided with an open/split interface in communication with the capillary and a sample archiving port through which at least about 90 percent of the gaseous sample in a mixture with an inert gas that was introduced into the sample introducing apparatus is separated from a minor portion of the mixture entering the capillary discharged from the sample introducing apparatus.

  5. Sample introducing apparatus and sample modules for mass spectrometer

    DOE Patents [OSTI]

    Thompson, C.V.; Wise, M.B.

    1993-12-21

    An apparatus for introducing gaseous samples from a wide range of environmental matrices into a mass spectrometer for analysis of the samples is described. Several sample preparing modules including a real-time air monitoring module, a soil/liquid purge module, and a thermal desorption module are individually and rapidly attachable to the sample introducing apparatus for supplying gaseous samples to the mass spectrometer. The sample-introducing apparatus uses a capillary column for conveying the gaseous samples into the mass spectrometer and is provided with an open/split interface in communication with the capillary and a sample archiving port through which at least about 90 percent of the gaseous sample in a mixture with an inert gas that was introduced into the sample introducing apparatus is separated from a minor portion of the mixture entering the capillary discharged from the sample introducing apparatus. 5 figures.

  6. Decoupled Sampling for Graphics Pipelines

    E-Print Network [OSTI]

    Ragan-Kelley, Jonathan Millar

    We propose a generalized approach to decoupling shading from visibility sampling in graphics pipelines, which we call decoupled sampling. Decoupled sampling enables stochastic supersampling of motion and defocus blur at ...

  7. Sample Environments at Sector 30

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

    sample holder designs are below. Aluminum sample holder - custom design Al design Al pic click drawing for .pdf-file Aluminum sample holder - custom design Al design Al pic...

  8. Fluid sampling apparatus and method

    DOE Patents [OSTI]

    Yeamans, D.R.

    1998-02-03

    Incorporation of a bellows in a sampling syringe eliminates ingress of contaminants, permits replication of amounts and compression of multiple sample injections, and enables remote sampling for off-site analysis. 3 figs.

  9. Soil sampling kit and a method of sampling therewith

    DOE Patents [OSTI]

    Thompson, Cyril V. (Knoxville, TN)

    1991-01-01

    A soil sampling device and a sample containment device for containing a soil sample is disclosed. In addition, a method for taking a soil sample using the soil sampling device and soil sample containment device to minimize the loss of any volatile organic compounds contained in the soil sample prior to analysis is disclosed. The soil sampling device comprises two close fitting, longitudinal tubular members of suitable length, the inner tube having the outward end closed. With the inner closed tube withdrawn a selected distance, the outer tube can be inserted into the ground or other similar soft material to withdraw a sample of material for examination. The inner closed end tube controls the volume of the sample taken and also serves to eject the sample. The soil sample containment device has a sealing member which is adapted to attach to an analytical apparatus which analyzes the volatile organic compounds contained in the sample. The soil sampling device in combination with the soil sample containment device allow an operator to obtain a soil sample containing volatile organic compounds and minimizing the loss of the volatile organic compounds prior to analysis of the soil sample for the volatile organic compounds.

  10. Soil sampling kit and a method of sampling therewith

    DOE Patents [OSTI]

    Thompson, C.V.

    1991-02-05

    A soil sampling device and a sample containment device for containing a soil sample is disclosed. In addition, a method for taking a soil sample using the soil sampling device and soil sample containment device to minimize the loss of any volatile organic compounds contained in the soil sample prior to analysis is disclosed. The soil sampling device comprises two close fitting, longitudinal tubular members of suitable length, the inner tube having the outward end closed. With the inner closed tube withdrawn a selected distance, the outer tube can be inserted into the ground or other similar soft material to withdraw a sample of material for examination. The inner closed end tube controls the volume of the sample taken and also serves to eject the sample. The soil sample containment device has a sealing member which is adapted to attach to an analytical apparatus which analyzes the volatile organic compounds contained in the sample. The soil sampling device in combination with the soil sample containment device allows an operator to obtain a soil sample containing volatile organic compounds and minimizing the loss of the volatile organic compounds prior to analysis of the soil sample for the volatile organic compounds. 11 figures.

  11. NID Copper Sample Analysis

    SciTech Connect (OSTI)

    Kouzes, Richard T.; Zhu, Zihua

    2011-09-12

    The current focal point of the nuclear physics program at PNNL is the MAJORANA DEMONSTRATOR, and the follow-on Tonne-Scale experiment, a large array of ultra-low background high-purity germanium detectors, enriched in 76Ge, designed to search for zero-neutrino double-beta decay (0???). This experiment requires the use of germanium isotopically enriched in 76Ge. The MAJORANA DEMONSTRATOR is a DOE and NSF funded project with a major science impact. The DEMONSTRATOR will utilize 76Ge from Russia, but for the Tonne-Scale experiment it is hoped that an alternate technology, possibly one under development at Nonlinear Ion Dynamics (NID), will be a viable, US-based, lower-cost source of separated material. Samples of separated material from NID require analysis to determine the isotopic distribution and impurities. DOE is funding NID through an SBIR grant for development of their separation technology for application to the Tonne-Scale experiment. The Environmental Molecular Sciences facility (EMSL), a DOE user facility at PNNL, has the required mass spectroscopy instruments for making isotopic measurements that are essential to the quality assurance for the MAJORANA DEMONSTRATOR and for the development of the future separation technology required for the Tonne-Scale experiment. A sample of isotopically separated copper was provided by NID to PNNL in January 2011 for isotopic analysis as a test of the NID technology. The results of that analysis are reported here. A second sample of isotopically separated copper was provided by NID to PNNL in August 2011 for isotopic analysis as a test of the NID technology. The results of that analysis are also reported here.

  12. Germanium-76 Sample Analysis

    SciTech Connect (OSTI)

    Kouzes, Richard T.; Engelhard, Mark H.; Zhu, Zihua

    2011-04-01

    The MAJORANA DEMONSTRATOR is a large array of ultra-low background high-purity germanium detectors, enriched in 76Ge, designed to search for zero-neutrino double-beta decay (0???). The DEMONSTRATOR will utilize 76Ge from Russia, and the first one gram sample was received from the supplier for analysis on April 24, 2011. The Environmental Molecular Sciences facility, a DOE user facility at PNNL, was used to make the required isotopic and chemical purity measurements that are essential to the quality assurance for the MAJORANA DEMONSTRATOR. The results of this first analysis are reported here.

  13. Small sample feature selection 

    E-Print Network [OSTI]

    Sima, Chao

    2007-09-17

    that the correction factor is a function of the dimensionality. The estimated standard deviations for the bolstering kernels are thus given by: ?i = ˆd(yi) ?p,i , for i = 1,...,n. (2.8) Clearly, as the number of samples in the training data increases, the standard de..., the DeArray software of the National Human Genome Research Institute calculates a multi-faceted quality metric for each spot [25]. This quality problem is a result of imperfections in RNA preparation, hybridization to the arrays, scanning, and also...

  14. September 2004 Water Sampling

    Office of Legacy Management (LM)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefield Municipal Gas &SCE-SessionsSouth DakotaRobbins and700 GJO-2003-411-TACe: SUBJIHX:ontineSampling at

  15. September 2004 Water Sampling

    Office of Legacy Management (LM)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefield Municipal Gas &SCE-SessionsSouth DakotaRobbins and700 GJO-2003-411-TACe: SUBJIHX:ontineSampling

  16. 2003 CBECS Sample Design

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)Decade Year-0ProvedDecade Year-0Cubic MonthlyTechnical Information > Sample

  17. September 2004 Water Sampling

    Office of Legacy Management (LM)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefield Municipal Gas &SCE-SessionsSouthReport for the t-) S/,,5 'a C O M1 theGroundwater Sampling at the

  18. September 2004 Water Sampling

    Office of Legacy Management (LM)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefield Municipal Gas &SCE-SessionsSouthReport for the t-) S/,,5 'a C O M1 theGroundwater Sampling at

  19. September 2004 Water Sampling

    Office of Legacy Management (LM)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefield Municipal Gas &SCE-SessionsSouthReport for the t-) S/,,5 'a C O M1 theGroundwater Sampling at4

  20. September 2004 Water Sampling

    Office of Legacy Management (LM)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefield Municipal Gas &SCE-SessionsSouthReport for the t-) S/,,5 'a C O M1 theGroundwater Sampling at4and

  1. September 2004 Water Sampling

    Office of Legacy Management (LM)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefield Municipal Gas &SCE-SessionsSouthReport for the t-) S/,,5 'a C O M1 theGroundwater Sampling

  2. September 2004 Water Sampling

    Office of Legacy Management (LM)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefield Municipal Gas &SCE-SessionsSouthReport for the t-) S/,,5 'a C O M1 theGroundwater Sampling Rifle,

  3. September 2004 Water Sampling

    Office of Legacy Management (LM)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefield Municipal Gas &SCE-SessionsSouthReport for the t-) S/,,5 'a C O M1 theGroundwater Sampling

  4. September 2004 Water Sampling

    Office of Legacy Management (LM)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefield Municipal Gas &SCE-SessionsSouthReport for the t-) S/,,5 'a C O M1 theGroundwater Sampling4

  5. Impact of Topology and Shadowing on the Outage Probability of Cellular Networks

    E-Print Network [OSTI]

    Coupechoux, Marceau

    Impact of Topology and Shadowing on the Outage Probability of Cellular Networks Jean-Marc Kelif--This paper proposes an analytical study of the shadowing impact on the outage probability in cellular radio in the outage probability. From f, we are able to derive the outage probability of a mobile station (MS

  6. Visualization of Tokamak Operational Spaces Through the Projection of Data Probability Distributions

    E-Print Network [OSTI]

    Visualization of Tokamak Operational Spaces Through the Projection of Data Probability Distributions

  7. Entanglement sampling and applications

    E-Print Network [OSTI]

    Frédéric Dupuis; Omar Fawzi; Stephanie Wehner

    2015-06-15

    A natural measure for the amount of quantum information that a physical system E holds about another system A = A_1,...,A_n is given by the min-entropy Hmin(A|E). Specifically, the min-entropy measures the amount of entanglement between E and A, and is the relevant measure when analyzing a wide variety of problems ranging from randomness extraction in quantum cryptography, decoupling used in channel coding, to physical processes such as thermalization or the thermodynamic work cost (or gain) of erasing a quantum system. As such, it is a central question to determine the behaviour of the min-entropy after some process M is applied to the system A. Here we introduce a new generic tool relating the resulting min-entropy to the original one, and apply it to several settings of interest, including sampling of subsystems and measuring in a randomly chosen basis. The sampling results lead to new upper bounds on quantum random access codes, and imply the existence of "local decouplers". The results on random measurements yield new high-order entropic uncertainty relations with which we prove the optimality of cryptographic schemes in the bounded quantum storage model.

  8. NID Copper Sample Analysis

    SciTech Connect (OSTI)

    Kouzes, Richard T.; Zhu, Zihua

    2011-02-01

    The current focal point of the nuclear physics program at PNNL is the MAJORANA DEMONSTRATOR, and the follow-on Tonne-Scale experiment, a large array of ultra-low background high-purity germanium detectors, enriched in 76Ge, designed to search for zero-neutrino double-beta decay (0???). This experiment requires the use of germanium isotopically enriched in 76Ge. The DEMONSTRATOR will utilize 76Ge from Russia, but for the Tonne-Scale experiment it is hoped that an alternate technology under development at Nonlinear Ion Dynamics (NID) will be a viable, US-based, lower-cost source of separated material. Samples of separated material from NID require analysis to determine the isotopic distribution and impurities. The MAJORANA DEMONSTRATOR is a DOE and NSF funded project with a major science impact. DOE is funding NID through an SBIR grant for development of their separation technology for application to the Tonne-Scale experiment. The Environmental Molecular Sciences facility (EMSL), a DOE user facility at PNNL, has the required mass spectroscopy instruments for making these isotopic measurements that are essential to the quality assurance for the MAJORANA DEMONSTRATOR and for the development of the future separation technology required for the Tonne-Scale experiment. A sample of isotopically separated copper was provided by NID to PNNL for isotopic analysis as a test of the NID technology. The results of that analysis are reported here.

  9. Strong lensing probability in TeVeS (tensor-vector-scalar) theory

    SciTech Connect (OSTI)

    Chen Daming

    2008-01-15

    We recalculate the strong lensing probability as a function of the image separation in TeVeS (tensor-vector-scalar) cosmology, which is a relativistic version of MOND (MOdified Newtonian Dynamics). The lens is modeled by the Hernquist profile. We assume an open cosmology with {Omega}{sub b} = 0.04 and {Omega}{sub {Lambda}} = 0.5 and three different kinds of interpolating functions. Two different galaxy stellar mass functions (GSMF) are adopted: PHJ (Panter, Heavens and Jimenez 2004 Mon. Not. R. Astron. Soc. 355 764) determined from SDSS data release 1 and Fontana (Fontana et al 2006 Astron. Astrophys. 459 745) from GOODS-MUSIC catalog. We compare our results with both the predicted probabilities for lenses from singular isothermal sphere galaxy halos in LCDM (Lambda cold dark matter) with a Schechter-fit velocity function, and the observational results for the well defined combined sample of the Cosmic Lens All-Sky Survey (CLASS) and Jodrell Bank/Very Large Array Astrometric Survey (JVAS). It turns out that the interpolating function {mu}(x) = x/(1+x) combined with Fontana GSMF matches the results from CLASS/JVAS quite well.

  10. Sample holder with optical features

    DOE Patents [OSTI]

    Milas, Mirko; Zhu, Yimei; Rameau, Jonathan David

    2013-07-30

    A sample holder for holding a sample to be observed for research purposes, particularly in a transmission electron microscope (TEM), generally includes an external alignment part for directing a light beam in a predetermined beam direction, a sample holder body in optical communication with the external alignment part and a sample support member disposed at a distal end of the sample holder body opposite the external alignment part for holding a sample to be analyzed. The sample holder body defines an internal conduit for the light beam and the sample support member includes a light beam positioner for directing the light beam between the sample holder body and the sample held by the sample support member.

  11. Unit 51 - GIS Application Areas

    E-Print Network [OSTI]

    Unit 51, CC in GIS; Cowen, David; Ferguson, Warren

    1990-01-01

    51 - GIS APPLICATION AREAS UNIT 51 - GIS APPLICATION AREAS1990 Page 1 Unit 51 - GIS Application Areas Computers inyour students. UNIT 51 - GIS APPLICATION AREAS Compiled with

  12. Calculation of Fire Severity Factors and Fire Non-Suppression Probabilities For A DOE Facility Fire PRA

    SciTech Connect (OSTI)

    Tom Elicson; Bentley Harwood; Jim Bouchard; Heather Lucek

    2011-03-01

    Over a 12 month period, a fire PRA was developed for a DOE facility using the NUREG/CR-6850 EPRI/NRC fire PRA methodology. The fire PRA modeling included calculation of fire severity factors (SFs) and fire non-suppression probabilities (PNS) for each safe shutdown (SSD) component considered in the fire PRA model. The SFs were developed by performing detailed fire modeling through a combination of CFAST fire zone model calculations and Latin Hypercube Sampling (LHS). Component damage times and automatic fire suppression system actuation times calculated in the CFAST LHS analyses were then input to a time-dependent model of fire non-suppression probability. The fire non-suppression probability model is based on the modeling approach outlined in NUREG/CR-6850 and is supplemented with plant specific data. This paper presents the methodology used in the DOE facility fire PRA for modeling fire-induced SSD component failures and includes discussions of modeling techniques for: • Development of time-dependent fire heat release rate profiles (required as input to CFAST), • Calculation of fire severity factors based on CFAST detailed fire modeling, and • Calculation of fire non-suppression probabilities.

  13. Geology and geochemistry of the Geyser Bight Geothermal Area, Umnak Island, Aleutian Islands, Alaska

    SciTech Connect (OSTI)

    Nye, C.J. (Alaska Univ., Fairbanks, AK (USA). Geophysical Inst. Alaska Dept. of Natural Resources, Fairbanks, AK (USA). Div. of Geological and Geophysical Surveys); Motyka, R.J. (Alaska Dept. of Natural Resources, Juneau, AK (USA). Div. of Geological and Geophysical Surveys); Turner, D.L. (Alaska Univ., Fairbanks, AK (USA). Geophysical Inst.); Liss, S.A. (Alaska Dept. of Natural Resources, Fairba

    1990-10-01

    The Geyser Bight geothermal area is located on Umnak Island in the central Aleutian Islands. It contains one of the hottest and most extensive areas of thermal springs and fumaroles in Alaska, and is only documented site in Alaska with geysers. The zone of hot springs and fumaroles lies at the head of Geyser Creek, 5 km up a broad, flat, alluvial valley from Geyser Bight. At present central Umnak is remote and undeveloped. This report describes results of a combined program of geologic mapping, K-Ar dating, detailed description of hot springs, petrology and geochemistry of volcanic and plutonic rock units, and chemistry of geothermal fluids. Our mapping documents the presence of plutonic rock much closer to the area of hotsprings and fumaroles than previously known, thus increasing the probability that plutonic rock may host the geothermal system. K-Ar dating of 23 samples provides a time framework for the eruptive history of volcanic rocks as well as a plutonic cooling age.

  14. Fluid sampling tool

    DOE Patents [OSTI]

    Johnston, Roger G. (Los Alamos, NM); Garcia, Anthony R. E. (Espanola, NM); Martinez, Ronald K. (Santa Cruz, NM)

    2001-09-25

    The invention includes a rotatable tool for collecting fluid through the wall of a container. The tool includes a fluid collection section with a cylindrical shank having an end portion for drilling a hole in the container wall when the tool is rotated, and a threaded portion for tapping the hole in the container wall. A passageway in the shank in communication with at least one radial inlet hole in the drilling end and an opening at the end of the shank is adapted to receive fluid from the container. The tool also includes a cylindrical chamber affixed to the end of the shank opposite to the drilling portion thereof for receiving and storing fluid passing through the passageway. The tool also includes a flexible, deformable gasket that provides a fluid-tight chamber to confine kerf generated during the drilling and tapping of the hole. The invention also includes a fluid extractor section for extracting fluid samples from the fluid collecting section.

  15. Transmission probabilities and the Miller-Good transformation

    E-Print Network [OSTI]

    Petarpa Boonserm; Matt Visser

    2009-01-08

    Transmission through a potential barrier, and the related issue of particle production from a parametric resonance, are topics of considerable general interest in quantum physics. The authors have developed a rather general bound on quantum transmission probabilities, and recently applied it to bounding the greybody factors of a Schwarzschild black hole. In the current article we take a different tack -- we use the Miller-Good transformation (which maps an initial Schrodinger equation to a final Schrodinger equation for a different potential) to significantly generalize the previous bound.

  16. Jamming probabilities for a vacancy in the dimer model

    E-Print Network [OSTI]

    V. S. Poghosyan; V. B. Priezzhev; P. Ruelle

    2008-01-28

    Following the recent proposal made by Bouttier et al [Phys. Rev. E 76, 041140 (2007)], we study analytically the mobility properties of a single vacancy in the close-packed dimer model on the square lattice. Using the spanning web representation, we find determinantal expressions for various observable quantities. In the limiting case of large lattices, they can be reduced to the calculation of Toeplitz determinants and minors thereof. The probability for the vacancy to be strictly jammed and other diffusion characteristics are computed exactly.

  17. Transmission probabilities and the Miller-Good transformation

    E-Print Network [OSTI]

    Boonserm, Petarpa

    2008-01-01

    Transmission through a potential barrier, and the related issue of particle production from a parametric resonance, are topics of considerable general interest in quantum physics. The authors have developed a rather general bound on quantum transmission probabilities, and recently applied it to bounding the greybody factors of a Schwarzschild black hole. In the current article we take a different tack -- we use the Miller-Good transformation (which maps an initial Schrodinger equation to a final Schrodinger equation for a different potential) to significantly generalize the previous bound.

  18. Monte Carlo sampling from the quantum state space. I

    E-Print Network [OSTI]

    Jiangwei Shang; Yi-Lin Seah; Hui Khoon Ng; David John Nott; Berthold-Georg Englert

    2015-04-27

    High-quality random samples of quantum states are needed for a variety of tasks in quantum information and quantum computation. Searching the high-dimensional quantum state space for a global maximum of an objective function with many local maxima or evaluating an integral over a region in the quantum state space are but two exemplary applications of many. These tasks can only be performed reliably and efficiently with Monte Carlo methods, which involve good samplings of the parameter space in accordance with the relevant target distribution. We show how the standard strategies of rejection sampling, importance sampling, and Markov-chain sampling can be adapted to this context, where the samples must obey the constraints imposed by the positivity of the statistical operator. For a comparison of these sampling methods, we generate sample points in the probability space for two-qubit states probed with a tomographically incomplete measurement, and then use the sample for the calculation of the size and credibility of the recently-introduced optimal error regions [see New J. Phys. 15 (2013) 123026]. Another illustration is the computation of the fractional volume of separable two-qubit states.

  19. A short course on measure and probability theories.

    SciTech Connect (OSTI)

    PÔebay, Philippe Pierre

    2004-02-01

    This brief Introduction to Measure Theory, and its applications to Probabilities, corresponds to the lecture notes of a seminar series given at Sandia National Laboratories in Livermore, during the spring of 2003. The goal of these seminars was to provide a minimal background to Computational Combustion scientists interested in using more advanced stochastic concepts and methods, e.g., in the context of uncertainty quantification. Indeed, most mechanical engineering curricula do not provide students with formal training in the field of probability, and even in less in measure theory. However, stochastic methods have been used more and more extensively in the past decade, and have provided more successful computational tools. Scientists at the Combustion Research Facility of Sandia National Laboratories have been using computational stochastic methods for years. Addressing more and more complex applications, and facing difficult problems that arose in applications showed the need for a better understanding of theoretical foundations. This is why the seminar series was launched, and these notes summarize most of the concepts which have been discussed. The goal of the seminars was to bring a group of mechanical engineers and computational combustion scientists to a full understanding of N. WIENER'S polynomial chaos theory. Therefore, these lectures notes are built along those lines, and are not intended to be exhaustive. In particular, the author welcomes any comments or criticisms.

  20. Absorption probability of neutrino fields and Hawking radiation

    E-Print Network [OSTI]

    Koray Düzta?

    2015-05-14

    We analyse the scattering of neutrino fields (massless spin 1/2 fields) from Kerr black holes. Adopting the notation of Teukolsky and Press, we derive the connection relation between the normalizations of ingoing and outgoing waves at the horizon and at infinity. It turns out that the connection relation for neutrino waves neither depends on the frequency $\\omega$ and angular momentum quantum numbers $l,m$ of the wave, nor on the black hole parameters $M,a$. As a result of that the absorption probability of neutrino fields $\\Gamma_{lm}(\\omega)$ which determines the average number of neutrinos emitted in the mode $(\\omega,l,m)$ in Hawking radiation, does not explicitly depend on the frequency $\\omega$ and angular momentum quantum numbers $l,m$. The form of $\\Gamma$ only in terms of Teukolsky's normalizations at infinity and at the horizon is derived. This is another aspect in which neutrino fields are essentially different than bosonic fields. The independence of the absorption probability of all parameters, also implies a violation of cosmic censorship since an extremal Kerr black hole can absorb modes carrying less energy than angular momentum. This is in accord with a recent work of the author evaluating the classical interaction of Kerr black holes with neutrino fields.

  1. Measurement of the Fusion Probability, PCN, for Hot Fusion Reactions

    E-Print Network [OSTI]

    R. Yanez; W. Loveland; J. S. Barrett; L. Yao; B. B. Back; S. Zhu; T. L. Khoo

    2013-06-17

    Background: The cross section for forming a heavy evaporation residue in fusion reactions depends on the capture cross section, the fusion probability, PCN, i.e., the probability that the projectile-target system will evolve inside the fission saddle point to form a completely fused system rather than re-separating (quasifission), and the survival of the completely fused system against fission. PCN is the least known of these quantities. Purpose: To measure PCN for the reaction of 101.2 MeV 18O, 147.3 MeV 26Mg, 170.9 MeV 30Si and 195.3 MeV 36S with 197Au. Methods: We measured the fission fragment angular distributions for these reactions and used the formalism of Back to deduce the fusion-fission and quasifission cross sections. From these quantities we deduced PCN for each reaction. Results: The values of PCN for the reaction of 101.2 MeV 18O, 147.3 MeV 26Mg, 170.9 MeV 30Si and 195.3 MeV 36S with 197Au are 0.66, 1.00, 0.06, 0.13, respectively. Conclusions: The new measured values of PCN agree roughly with the semi-empirical system- atic dependence of PCN upon fissility for excited nuclei.

  2. Optimized estimates of the regularity of the conditional distribution of the sample mean

    E-Print Network [OSTI]

    Victor Chulaevsky

    2015-04-24

    We give an improved estimate for the regularity of the conditional distribution of the empiric mean of a finite sample of IID random variables, conditional on the sample "fluctuations", extending the well-known property of Gaussian IID samples. Specifically, we replace the bounds in probability, established in our earlier works, by those in distribution, and this results in the optimal regularity exponent in the final estimate.

  3. IEEE COMMUNICATIONS LETTERS, VOL. 11, NO. 7, JULY 2007 589 Outage Probability of Selection Cooperation in the

    E-Print Network [OSTI]

    Adve, Raviraj

    IEEE COMMUNICATIONS LETTERS, VOL. 11, NO. 7, JULY 2007 589 Outage Probability of Selection (SNR) regimes. We approximate the outage probability of selection cooperation for all SNR levels approximations for practical values of outage probability. Index Terms-- Outage probability, cooperative

  4. Preliminary characterization of the 100 area at Argonne National Laboratory

    SciTech Connect (OSTI)

    Biang, C.; Biang, R.; Patel, P.

    1994-06-01

    This characterization report is based on the results of sampling and an initial environmental assessment of the 100 Area of Argonne National Laboratory. It addresses the current status, projected data requirements, and recommended actions for five study areas within the 100 Area: the Lime Sludge Pond, the Building 108 Liquid Retention Pond, the Coal Yard, the East Area Burn Pit, and the Eastern Perimeter Area. Two of these areas are solid waste management units under the Resource Conservation and Recovery Act (the Lime Sludge Pond and the Building 108 Liquid Retention Pond); however, the Illinois Environmental Protection Agency has determined that no further action is necessary for the Lime Sludge Pond. Operational records for some of the activities were not available, and one study area (the East Area Burn Pit) could not be precisely located. Recommendations for further investigation include sample collection to obtain the following information: (1) mineralogy of major minerals and clays within the soils and underlying aquifer, (2) pH of the soils, (3) total clay fraction of the soils, (4) cation exchange capacity of the soils and aquifer materials, and (5) exchangeable cations of the soils and aquifer material. Various other actions are recommended for the 100 Area, including an electromagnetic survey, sampling of several study areas to determine the extent of contamination and potential migration pathways, and sampling to determine the presence of any radionuclides. For some of the study areas, additional actions are contingent on the results of the initial recommendations.

  5. Specified assurance level sampling procedure

    SciTech Connect (OSTI)

    Willner, O.

    1980-11-01

    In the nuclear industry design specifications for certain quality characteristics require that the final product be inspected by a sampling plan which can demonstrate product conformance to stated assurance levels. The Specified Assurance Level (SAL) Sampling Procedure has been developed to permit the direct selection of attribute sampling plans which can meet commonly used assurance levels. The SAL procedure contains sampling plans which yield the minimum sample size at stated assurance levels. The SAL procedure also provides sampling plans with acceptance numbers ranging from 0 to 10, thus, making available to the user a wide choice of plans all designed to comply with a stated assurance level.

  6. 300 Area TEDF NPDES Permit Compliance Monitoring Plan

    SciTech Connect (OSTI)

    Loll, C.M.

    1994-10-13

    This monitoring plan describes the activities and methods that will be employed at the 300 Area Treated Effluent Disposal Facility (TEDF) in order to ensure compliance with the National Discharge Elimination System (NPDES) permit. Included in this document are a brief description of the project, the specifics of the sampling effort, including the physical location and frequency of sampling, the support required for sampling, and the Quality Assurance (QA) protocols to be followed in the sampling procedures.

  7. Site Monitoring Area Maps

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

    and roads The spatial location and boundaries for each Site shown on the Site Monitoring Area maps originate from activities conducted under the Compliance Order on Consent with...

  8. The Curious Reluctance to Define Prime Probability Statistically & An elementary probability-based approach to estimating prime counting functions statistically

    E-Print Network [OSTI]

    Bhupinder Singh Anand

    2015-10-13

    All the known approximations of the number of primes pi(n) not exceeding any given integer n are derived from real-valued functions that are asymptotic to pi(x), such as x/log x, Li(x) and Riemann's function R(x). The degree of approximation for finite values of n is determined only heuristically, by conjecturing upon an error term in the asymptotic relation that can be seen to yield a closer approximation than others to the actual values of pi(n) within a finite range of values of n. None of these can, however, claim to estimate pi(n) uniquely for all values of n. We show that the statistical probability of n being a prime is the product (1-1/p) over all primes not exceeding the square root of n; and that statistically the expected value of the number pi(n) of primes not exceeding n is given uniquely by the sum, over all j not exceeding n, of the product (1-1/p) over all primes not exceeding the square root of j. We then demonstrate how this yields elementary probability-based proofs of the Prime Number Theorem, Dirichlect's Theorem, and the Twin-Prime Conjecture.

  9. Molecular clouds have power-law probability distribution functions

    E-Print Network [OSTI]

    Lombardi, Marco; Lada, Charles J

    2015-01-01

    In this Letter we investigate the shape of the probability distribution of column densities (PDF) in molecular clouds. Through the use of low-noise, extinction-calibrated \\textit{Herschel}/\\textit{Planck} emission data for eight molecular clouds, we demonstrate that, contrary to common belief, the PDFs of molecular clouds are not described well by log-normal functions, but are instead power laws with exponents close to two and with breaks between $A_K \\simeq 0.1$ and $0.2\\,\\mathrm{mag}$, so close to the CO self-shielding limit and not far from the transition between molecular and atomic gas. Additionally, we argue that the intrinsic functional form of the PDF cannot be securely determined below $A_K \\simeq 0.1\\,\\mathrm{mag}$, limiting our ability to investigate more complex models for the shape of the cloud PDF.

  10. A probability theory for non-equilibrium gravitational systems

    E-Print Network [OSTI]

    Peñarrubia, Jorge

    2015-01-01

    This paper uses dynamical invariants to describe the evolution of collisionless systems subject to time-dependent gravitational forces without resorting to maximum-entropy probabilities. We show that collisionless relaxation can be viewed as a special type of diffusion process in the integral-of-motion space. In time-varying potentials with a fixed spatial symmetry the diffusion coefficients are closely related to virial quantities, such as the specific moment of inertia, the virial factor and the mean kinetic and potential energy of microcanonical particle ensembles. The non-equilibrium distribution function (DF) is found by convolving the initial DF with the Green function that solves Einstein's equation for freely diffusing particles. Such a convolution also yields a natural solution to the Fokker-Planck equations in the energy space. Our mathematical formalism can be generalized to potentials with a time-varying symmetry, where diffusion extends over multiple dimensions of the integral-of-motion space. Th...

  11. Probability distributions of some power system reliability indices 

    E-Print Network [OSTI]

    Dip, Minh

    1978-01-01

    of three renewal process Let {N.(t),t>0} denote the i t h renewal process. Thus i f N (t) i s the number of renewals ( f a i l u r e s ) in (0,t) in the pooled process, then: m N D(t) = E N.(t) . (13) " i=l 1 9 10 Khintchine and Gri g e l i o n i...PROBABILITY DISTRIBUTIONS OF SOME POWER SYSTEM RELIABILITY INDICES A Thesis by MINH DIP (DIEP) Submitted to the Graduate College of Texas A&M University in p a r t i a l f u l f i l l m e n t of the requirement f o r the degree of MASTER...

  12. How to Determine the Probability of the Higgs Boson Detection

    E-Print Network [OSTI]

    Alexander Unzicker

    2009-12-02

    The Higgs boson is the most important, though yet undiscovered ingredient of the standard model of particle physics. Its detection is therefore one of the most important goals of high energy physics that can guide future research in theoretical physics. Enormous efforts have been undertaken to prove the existence of the Higgs boson, and the physics community is excitedly awaiting the restart of the Large Hadron Collider at CERN. But how sure can we be that the Higgs exits at all? The German philosopher Immanuel Kant recommended betting at such controversial questions, and Stephen Hawking announced a $100 bet against the Higgs. But seriously, online prediction markets, which are a generalized form of betting, do provide the best possible probability estimates for future events. It is proposed that the scientific community uses this platforms for evaluation. See also an online description www.Bet-On-The-Higgs.com.

  13. Probability-theoretical analog of the vector Lyapunov function method

    SciTech Connect (OSTI)

    Nakonechnyi, A.N.

    1995-01-01

    The main ideas of the vector Lyapunov function (VLF) method were advanced in 1962 by Bellman and Matrosov. In this method, a Lyapunov function and a comparison equation are constructed for each subsystem. Then the dependences between the subsystems and the effect of external noise are allowed for by constructing a vector Lyapunov function (as a collection of the scalar Lyapunov functions of the subsystems) and an aggregate comparison function for the entire complex system. A probability-theoretical analog of this method for convergence analysis of stochastic approximation processes has been developed. The abstract approach proposed elsewhere eliminates all restrictions on the system phase space, the system trajectories, the class of Lyapunov functions, etc. The analysis focuses only on the conditions that relate sequences of Lyapunov function values with the derivative and ensure a particular type (mode, character) of stability. In our article, we extend this approach to the VLF method for discrete stochastic dynamic systems.

  14. Bayesian failure probability model sensitivity study. Final report

    SciTech Connect (OSTI)

    Not Available

    1986-05-30

    The Office of the Manager, National Communications System (OMNCS) has developed a system-level approach for estimating the effects of High-Altitude Electromagnetic Pulse (HEMP) on the connectivity of telecommunications networks. This approach incorporates a Bayesian statistical model which estimates the HEMP-induced failure probabilities of telecommunications switches and transmission facilities. The purpose of this analysis is to address the sensitivity of the Bayesian model. This is done by systematically varying two model input parameters--the number of observations, and the equipment failure rates. Throughout the study, a non-informative prior distribution is used. The sensitivity of the Bayesian model to the noninformative prior distribution is investigated from a theoretical mathematical perspective.

  15. Seismic pulse propagation with constant Q and stable probability distributions

    E-Print Network [OSTI]

    Francesco Mainardi; Massimo Tomirotti

    2010-08-07

    The one-dimensional propagation of seismic waves with constant Q is shown to be governed by an evolution equation of fractional order in time, which interpolates the heat equation and the wave equation. The fundamental solutions for the Cauchy and Signalling problems are expressed in terms of entire functions (of Wright type) in the similarity variable and their behaviours turn out to be intermediate between those for the limiting cases of a perfectly viscous fluid and a perfectly elastic solid. In view of the small dissipation exhibited by the seismic pulses, the nearly elastic limit is considered. Furthermore, the fundamental solutions for the Cauchy and Signalling problems are shown to be related to stable probability distributions with index of stability determined by the order of the fractional time derivative in the evolution equation.

  16. Matter-enhanced transition probabilities in quantum field theory

    SciTech Connect (OSTI)

    Ishikawa, Kenzo Tobita, Yutaka

    2014-05-15

    The relativistic quantum field theory is the unique theory that combines the relativity and quantum theory and is invariant under the Poincaré transformation. The ground state, vacuum, is singlet and one particle states are transformed as elements of irreducible representation of the group. The covariant one particles are momentum eigenstates expressed by plane waves and extended in space. Although the S-matrix defined with initial and final states of these states hold the symmetries and are applied to isolated states, out-going states for the amplitude of the event that they are detected at a finite-time interval T in experiments are expressed by microscopic states that they interact with, and are surrounded by matters in detectors and are not plane waves. These matter-induced effects modify the probabilities observed in realistic situations. The transition amplitudes and probabilities of the events are studied with the S-matrix, S[T], that satisfies the boundary condition at T. Using S[T], the finite-size corrections of the form of 1/T are found. The corrections to Fermi’s golden rule become larger than the original values in some situations for light particles. They break Lorentz invariance even in high energy region of short de Broglie wave lengths. -- Highlights: •S-matrix S[T] for the finite-time interval in relativistic field theory. •S[T] satisfies the boundary condition and gives correction of 1/T . •The large corrections for light particles breaks Lorentz invariance. •The corrections have implications to neutrino experiments.

  17. 3 - DJ : sampling as design

    E-Print Network [OSTI]

    Patel, Sayjel Vijay

    2015-01-01

    3D Sampling is introduced as a new spatial craft that can be applied to architectural design, akin to how sampling is applied in the field of electronic music. Through the development of 3-DJ, a prototype design software, ...

  18. Geothermal br Resource br Area Geothermal br Resource br Area...

    Open Energy Info (EERE)

    Area Central Nevada Seismic Zone Pull Apart in Strike Slip Fault Zone Ordovician shale quartzite MW K Blue Mountain Geothermal Area Blue Mountain Geothermal Area Northwest...

  19. Radiological surveys of properties in the Middlesex, New Jersey area. Final report

    SciTech Connect (OSTI)

    Leggett, R W; Haywood, F.F. Cottrell, W.D.

    1981-03-01

    Results of the radiological surveys conducted at three properties in the Middlesex, New Jersey area as well as one additional location downstream from the Middlesex Sampling Plant (Willow Lake), are presented. The survey revealed that the yard around the church rectory on Harris Avenue is contaminated with a /sup 226/Ra-bearing material, probably pitchblende ore from the former Middlesex Sampling Plant. The elevated /sup 226/Ra concentrations around and, to a lesser extent, underneath the rectory are leading to elevated /sup 222/Rn concentrations in air in the rectory and elevated alpha contamination levels (from radon daughters) on surfaces inside the rectory. External gamma radiation levels in the rectory yard are well above background levels, and beta-gamma dose rates at many points in the yard are above federal guidelines for the release of property for unrestricted use. The radiological survey of a parking lot at the Union Carbide plant in Bound Brook, New Jersey revealed that a nearly circular region of 50-ft diam in the lot showed above-background external gamma radiation levels. Two isolated spots within this region showed concentrations of uranium in soil above the licensable level stated in 10 CFR 40. Soil samples taken in the area of elevated gamma radiation levels generally showed nearly equal activities of /sup 226/Ra and /sup 238/U. The survey at the residences on William Street in Piscataway, revealed that the front yeard is generally contaminated from near the surface to a depth of 1.5 to 2.5 ft with /sup 226/Ra-bearing material, possibly pitchblende ore. The remainder of the yard shows scattered contaminaion. External gamma radiation levels inside the house are above the background level near some outside walls.

  20. MAS 108 Probability I Notes 4 Autumn 2005

    E-Print Network [OSTI]

    Bailey, R. A.

    of paying. The sample space is S = {HHH,HHT,HTH,HTT,THH,THT,TTH,TTT}, and the events `Alice pays' and `Bob pays' are respectively A = {HHH,HHT,HTH,THH}, B = {HTT,THT,TTH,TTT}. They toss the coin once and the result is heads; call this event E. How should we now reassess their chances? We have E = {HHH

  1. Neutron Science Research Areas | ORNL

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

    Home | Science & Discovery | Neutron Science | Research Areas SHARE Research Areas Neutron scattering research at ORNL covers four broad research areas: biology and soft...

  2. Snake and Columbia Rivers Sediment Sampling Project

    SciTech Connect (OSTI)

    Pinza, M.R.; Word, J.Q; Barrows, E.S.; Mayhew, H.L.; Clark, D.R. (Battelle/Marine Sciences Lab., Sequim, WA (United States))

    1992-12-01

    The disposal of dredged material in water is defined as a discharge under Section 404 of the Clean Water Act and must be evaluated in accordance with US Environmental Protection Agency regulation 40 CFR 230. Because contaminant loads in the dredged sediment or resuspended sediment may affect water quality or contaminant loading, the US Army Corps of Engineers (USACE), Walla Walla District, has requested Battelle/Marine Sciences Laboratory to collect and chemically analyze sediment samples from areas that may be dredged near the Port Authority piers on the Snake and Columbia rivers. Sediment samples were also collected at River Mile (RM) stations along the Snake River that may undergo resuspension of sediment as a result of the drawdown. Chemical analysis included grain size, total organic carbon, total volatile solids, ammonia, phosphorus, sulfides, oil and grease, total petroleum hydrocarbons, metals, polynuclear aromatic hydrocarbons, pesticides, polychlorinated biphenyls, and 21 congeners of polychlorinated dibenzodioxins and dibenzofurans.

  3. AN -NASH EQUILIBRIUM WITH HIGH PROBABILITY FOR STRATEGIC CUSTOMERS IN HEAVY TRAFFIC

    E-Print Network [OSTI]

    Atar, Rami

    AN -NASH EQUILIBRIUM WITH HIGH PROBABILITY FOR STRATEGIC CUSTOMERS IN HEAVY TRAFFIC RAMI ATAR of an -Nash equilibrium with probability approaching 1. On way to proving this result, new diffusion limit customers; -Nash equilibrium with high probability 1. INTRODUCTION Equilibrium behavior of strategic

  4. Ruin probabilities and de cit for the renewal risk model with phase{type interarrival times

    E-Print Network [OSTI]

    Avram, Florin

    Ruin probabilities and de#12;cit for the renewal risk model with phase{type interarrival times F killed ruin probability, de#12;cit at ruin, Sparre Andersen Model, phase{type distributions, Laplace transform of the #12;nite time ruin probability, by considering also the de#12;cit at ruin; the model

  5. APPL: A Probability Programming Language Maj. Andrew G. GLEN, Diane L. EVANS, and Lawrence M. LEEMIS

    E-Print Network [OSTI]

    Leemis, Larry

    APPL: A Probability Programming Language Maj. Andrew G. GLEN, Diane L. EVANS, and Lawrence M having arbitrary distributions. This arti- cle presents a prototype probability package named APPL (A probability software package, referred to as "A Prob- ability Programming Language" (APPL), that fills

  6. Low Probability Differentials and the Cryptanalysis of Full-Round CLEFIA-128

    E-Print Network [OSTI]

    International Association for Cryptologic Research (IACR)

    Low Probability Differentials and the Cryptanalysis of Full-Round CLEFIA-128 Sareh Emami2, San Ling far, low probability differentials for the key schedule of block ciphers have been used to exploit particularly cho- sen differentials with a probability as low as 2-128 . CLEFIA-128 has 214

  7. Outage Probability of the Gaussian Free Space Optical Channel with Pulse-Position Modulation

    E-Print Network [OSTI]

    Guillén i Fàbregas, Albert

    Outage Probability of the Gaussian Free Space Optical Channel with Pulse-Position Modulation Nick adopt a quasi-static block fading model and study the outage probability of the channel under gains are possible by using power allocation techniques to minimise the outage probability. I

  8. IEEE TRANSACTIONS ON INFORMATION THEORY, VOL. 58, NO. 11, NOVEMBER 2012 6825 Outage Probability Under Channel

    E-Print Network [OSTI]

    Loyka, Sergey

    IEEE TRANSACTIONS ON INFORMATION THEORY, VOL. 58, NO. 11, NOVEMBER 2012 6825 Outage Probability Abstract--Outage probability and capacity of a class of block- fading MIMO channels are considered under distributions. Compound outage probability defined as min (over the transmitted signal distribution) -max (over

  9. IEEE TRANSACTIONS ON COMMUNICATIONS, VOL. 57, NO. 2, FEBRUARY 2009 319 Outage Probability of

    E-Print Network [OSTI]

    Bhashyam, Srikrishna

    IEEE TRANSACTIONS ON COMMUNICATIONS, VOL. 57, NO. 2, FEBRUARY 2009 319 Outage Probability on the outage probability of multiple-input single-output (MISO) fading channels. Channel state information. With perfect CSIR, under a short-term power con- straint, we determine: (a) the outage probability

  10. von Neumann algebras and Free Probability RMS meeting, ISI Bengaluru, May 13 2009

    E-Print Network [OSTI]

    Sunder, V S

    von Neumann algebras and Free Probability RMS meeting, ISI Bengaluru, May 13 2009 V.S. Sunder von Neumann algebras and Free Probability RMS meeting, ISI Bengaluru, M #12;Groups and algebras Groups: V.S. Sunder IMSc, Chennai von Neumann algebras and Free Probability RMS meeting, ISI Bengaluru, M

  11. Geographic Area Month

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

    Fuels by PAD District and State (Cents per Gallon Excluding Taxes) - Continued Geographic Area Month No. 1 Distillate No. 2 Distillate a No. 4 Fuel b Sales to End Users Sales for...

  12. Decontamination & decommissioning focus area

    SciTech Connect (OSTI)

    1996-08-01

    In January 1994, the US Department of Energy Office of Environmental Management (DOE EM) formally introduced its new approach to managing DOE`s environmental research and technology development activities. The goal of the new approach is to conduct research and development in critical areas of interest to DOE, utilizing the best talent in the Department and in the national science community. To facilitate this solutions-oriented approach, the Office of Science and Technology (EM-50, formerly the Office of Technology Development) formed five Focus AReas to stimulate the required basic research, development, and demonstration efforts to seek new, innovative cleanup methods. In February 1995, EM-50 selected the DOE Morgantown Energy Technology Center (METC) to lead implementation of one of these Focus Areas: the Decontamination and Decommissioning (D & D) Focus Area.

  13. Mineral resources of the North Algodones Dunes Wilderness Study Area (CDCA-360), Imperial County, California

    SciTech Connect (OSTI)

    Smith, R.S.U.; Yeend, W.; Dohrenwend, J.C.; Gese, D.D.

    1984-01-01

    This report presents the results of a mineral survey of the North Algodones Dunes Wilderness Study Area (CDCA-360), California Desert Conservation Area, Imperial County, California. The potential for undiscovered base and precious metals, and sand and gravel within the North Algodones Dunes Wilderness Study Area is low. The study area has a moderate potential for geothermal energy. One small sand-free area between the Coachella Canal and the west edge of the dune field would probably be the only feasible exploration site for geothermal energy. The study area has a moderate to high potential for the occurrence of undiscovered gas/condensate within the underlying rocks. 21 refs.

  14. Utilizing the sequential probability ratio test for building joint monitoring

    SciTech Connect (OSTI)

    Allen, D. W. (David W.); Sohn, H. (Hoon); Worden, K.; Farrar, C. R. (Charles R.)

    2002-01-01

    In this application of the statistical pattern recognition paradigm, a prediction model of a chosen feature is developed from the time domain response of a baseline structure. After the model is developed, subsequent feature sets are tested against the model to determine if a change in the feature has occurred. In the proposed statistical inference for damage identification there are two basic hypotheses; (1) the model can predict the feature, in which case the structure is undamaged or (2) the model can not accurately predict the feature, suggesting that the structure is damaged. The Sequential Probability Ratio Test (SPRT) develops a statistical method that quickly arrives at a decision between these two hypotheses and is applicable to continuous monitoring. In the original formulation of the SPRT algorithm, the feature is assumed to be Gaussian and thresholds are set accordingly. It is likely, however, that the feature used for damage identification is sensitive to the tails of the distribution and that the tails may not necessarily be governed by Gaussian characteristics. By modeling the tails using the technique of Extreme Value Statistics, the hypothesis decision thresholds for the SPRT algorithm may be set avoiding the normality assumption. The SPRT algorithm is utilized to decide if the test structure is undamaged or damaged and which joint is exhibiting the change.

  15. The First Passage Probability of Intracellular Particle Trafficking

    E-Print Network [OSTI]

    Salman S. Rogers; Neftali Flores-Rodriguez; Victoria J. Allan; Philip G. Woodman; Thomas A. Waigh

    2009-04-13

    The first passage probability (FPP), of trafficked intracellular particles reaching a displacement L, in a given time t or inverse velocity S = t/L, can be calculated robustly from measured particle tracks, and gives a measure of particle movement in which different types of motion, e.g. diffusion, ballistic motion, and transient run-rest motion, can readily be distinguished in a single graph, and compared with mathematical models. The FPP is attractive in that it offers a means of reducing the data in the measured tracks, without making assumptions about the mechanism of motion: for example, it does not employ smoothing, segementation or arbitrary thresholds to discriminate between different types of motion in a particle track. Taking experimental data from tracked endocytic vesicles, and calculating the FPP, we see how three molecular treatments affect the trafficking. We show the FPP can quantify complicated movement which is neither completely random nor completely deterministic, making it highly applicable to trafficked particles in cell biology.

  16. Financial derivative pricing under probability operator via Esscher transfomation

    SciTech Connect (OSTI)

    Achi, Godswill U., E-mail: achigods@yahoo.com [Department of Mathematics, Abia State Polytechnic Aba, P.M.B. 7166, Aba, Abia State (Nigeria)

    2014-10-24

    The problem of pricing contingent claims has been extensively studied for non-Gaussian models, and in particular, Black- Scholes formula has been derived for the NIG asset pricing model. This approach was first developed in insurance pricing{sup 9} where the original distortion function was defined in terms of the normal distribution. This approach was later studied6 where they compared the standard Black-Scholes contingent pricing and distortion based contingent pricing. So, in this paper, we aim at using distortion operators by Cauchy distribution under a simple transformation to price contingent claim. We also show that we can recuperate the Black-Sholes formula using the distribution. Similarly, in a financial market in which the asset price represented by a stochastic differential equation with respect to Brownian Motion, the price mechanism based on characteristic Esscher measure can generate approximate arbitrage free financial derivative prices. The price representation derived involves probability Esscher measure and Esscher Martingale measure and under a new complex valued measure ? (u) evaluated at the characteristic exponents ?{sub x}(u) of X{sub t} we recuperate the Black-Scholes formula for financial derivative prices.

  17. 300 Area Disturbance Report

    SciTech Connect (OSTI)

    LL Hale; MK Wright; NA Cadoret

    1999-01-07

    The objective of this study was to define areas of previous disturbance in the 300 Area of the U.S. Department of Energy (DOE) Hanford Site to eliminate these areas from the cultural resource review process, reduce cultural resource monitoring costs, and allow cultural resource specialists to focus on areas where subsurface disturbance is minimal or nonexistent. Research into available sources suggests that impacts from excavations have been significant wherever the following construction activities have occurred: building basements and pits, waste ponds, burial grounds, trenches, installation of subsurface pipelines, power poles, water hydrants, and well construction. Beyond the areas just mentioned, substrates in the' 300 Area consist of a complex, multidimen- sional mosaic composed of undisturbed stratigraphy, backfill, and disturbed sediments; Four Geographic Information System (GIS) maps were created to display known areas of disturbance in the 300 Area. These maps contain information gleaned from a variety of sources, but the primary sources include the Hanford GIS database system, engineer drawings, and historic maps. In addition to these maps, several assumptions can be made about areas of disturbance in the 300 Area as a result of this study: o o Buried pipelines are not always located where they are mapped. As a result, cultural resource monitors or specialists should not depend on maps depicting subsurface pipelines for accurate locations of previous disturbance. Temporary roads built in the early 1940s were placed on layers of sand and gravel 8 to 12 in. thick. Given this information, it is likely that substrates beneath these early roads are only minimally disturbed. Building foundations ranged from concrete slabs no more than 6 to 8 in. thick to deeply excavated pits and basements. Buildings constructed with slab foundations are more numerous than may be expected, and minimally disturbed substrates may be expected in these locations. Historic black and white photographs provide a partial record of some excavations, including trenches, building basements, and material lay-down yards. Estimates of excavation depth and width can be made, but these estimates are not accurate enough to pinpoint the exact location where the disturbedhmdisturbed interface is located (e.g., camera angles were such that depths and/or widths of excavations could not be accurately determined or estimated). In spite of these limitations, these photographs provide essential information. Aerial and historic low-level photographs have captured what appears to be backfill throughout much of the eastern portion of the 300 Area-near the Columbia River shoreline. This layer of fill has likely afforded some protection for the natural landscape buried beneath the fill. This assumption fits nicely with the intermittent and inadvertent discoveries of hearths and stone tools documented through the years in this part of the 300 Area. Conversely, leveling of sand dunes appears to be substantial in the northwestern portion of the 300 Area during the early stages of development. o Project files and engineer drawings do not contain information on any impromptu but necessary adjustments made on the ground during project implementation-after the design phase. Further, many projects are planned and mapped but never implemented-this information is also not often placed in project files. Specific recommendations for a 300 Area cultural resource monitoring strategy are contained in the final section of this document. In general, it is recommended that monitoring continue for all projects located within 400 m of the Columbia River. The 400-m zone is culturally sensitive and likely retains some of the most intact buried substrates in the 300 Area.

  18. Homeowner Soil Sample Information Form 

    E-Print Network [OSTI]

    Provin, Tony

    2007-04-11

    THE TEXAS A&M UNIVERSITY SYSTEM Soil, Water and Forage Testing Laboratory Urban and Homeowner Soil Sample Information Form See sampling procedures and mailing instructions on the back of this form. (PLEASE DO NOT SEND CASH) SU07 E-444... (7-07) Results will be mailed to this address ONLY Address City Phone County where sampled Name Laboratory # (For Lab Use Only) State Zip Payment (DO NOT SEND CASH). Amount Paid $ SUBMITTED BY: Check Money Order Make Checks Payable to: Soil...

  19. Sample Residential Program Term Sheet

    Broader source: Energy.gov [DOE]

    A sample for defining and elaborating on the specifics of a clean energy loan program. Author: U.S. Department of Energy

  20. Adaptive Sampling for Environmental Robotics

    E-Print Network [OSTI]

    Mohammad Rahimi; Richard Pon; Deborah Estrin; William J. Kaiser; Mani Srivastava; Gaurav S. Sukhatme

    2003-01-01

    186, 2003. S. Thrun, “Robotics Mapping: A survey”, Exploringtechnique to environmental robotics applications includingSampling for Environmental Robotics Mohammad Rahimi †,‡‡ ,

  1. Sandia Energy - Estimating Device or System Probability of Failure

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust, High-Throughput Analysis ofSample SULIColin HumphreysDETLECSupplyEngineeringEric

  2. Comparison of sampling techniques for Heliothis species in cotton 

    E-Print Network [OSTI]

    Walters, Michelle Lynn

    1986-01-01

    in cotton emerged. In 19S1, J. F. Leser, area Extension Entomologist at the Texas ASH University Research and Extension Center in Lubbock, reported a new sampling procedure developed for Heliothis spp. larvaes on High Plains cotton. This new method... of Advisory Committee: Nr. J. Knox Walker, Jr. The accuracy of several different sampling methods for Heliothis spp. larvae in cotton were compared during 1984 and 1985. These methods included those commonly used to estimate the density and dispersion...

  3. Analysis and Mitigation of Tropospheric Effects on Ka Band Satellite Signals and Estimation of Ergodic Capacity and Outage Probability for Terrestrial Links

    E-Print Network [OSTI]

    Enserink, Scott Warren

    2012-01-01

    of Outage Probability . . . . . . . . . . . . . . . . . .vii OutageResults Using the LLN Outage Probability

  4. Hazard Sampling Dialog General Layout

    E-Print Network [OSTI]

    Zhang, Tao

    1 Hazard Sampling Dialog General Layout The dialog's purpose is to display information about the hazardous material being sampled by the UGV so either the system or the UV specialist can identify the risk level of the hazard. The dialog is associated with the hazmat reading icons (Table 1). Components

  5. Database Sampling with Functional Dependencies

    E-Print Network [OSTI]

    Riera, Jesús Bisbal

    Database Sampling with Functional Dependencies Jes´us Bisbal, Jane Grimson Department of Computer there is a need to prototype the database which the applications will use when in operation. A prototype database can be built by sampling data from an existing database. Including relevant semantic information when

  6. Sample push-out fixture

    DOE Patents [OSTI]

    Biernat, John L. (Scotia, NY)

    2002-11-05

    This invention generally relates to the remote removal of pelletized samples from cylindrical containment capsules. V-blocks are used to receive the samples and provide guidance to push out rods. Stainless steel liners fit into the v-channels on the v-blocks which permits them to be remotely removed and replaced or cleaned to prevent cross contamination between capsules and samples. A capsule holder securely holds the capsule while allowing manual up/down and in/out movement to align each sample hole with the v-blocks. Both end sections contain identical v-blocks; one that guides the drive out screw and rods or manual push out rods and the other to receive the samples as they are driven out of the capsule.

  7. SOLVENT HOLD TANK SAMPLE RESULTS FOR MCU-14-135/136 AND MCU-14-214/215/216: FEBRUARY AND MARCH 2014 MONTHLY SAMPLES

    SciTech Connect (OSTI)

    Fondeur, F.; Taylor-Pashow, K.

    2014-06-30

    SRNL received two sets of SHT samples (MCU-14-135-136 in February 2014 and MCU-14-214-216 in March 2014) for analysis. The samples were analyzed for composition. As with the previous solvent sample results, these analyses indicate that the solvent does not require Isopar® L trimming at this time. However, the addition of TiDG (suppressor) to the blended solvent is recommended. Evidence of possible (slight) isomerization of the solvent, probably Isopar®L or TiDG degradation products, was observed.

  8. OLED area illumination source

    DOE Patents [OSTI]

    Foust, Donald Franklin (Scotia, NY); Duggal, Anil Raj (Niskayuna, NY); Shiang, Joseph John (Niskayuna, NY); Nealon, William Francis (Gloversville, NY); Bortscheller, Jacob Charles (Clifton Park, NY)

    2008-03-25

    The present invention relates to an area illumination light source comprising a plurality of individual OLED panels. The individual OLED panels are configured in a physically modular fashion. Each OLED panel comprising a plurality of OLED devices. Each OLED panel comprises a first electrode and a second electrode such that the power being supplied to each individual OLED panel may be varied independently. A power supply unit capable of delivering varying levels of voltage simultaneously to the first and second electrodes of each of the individual OLED panels is also provided. The area illumination light source also comprises a mount within which the OLED panels are arrayed.

  9. Track 2 sites: Guidance for assessing low probability hazard sites at the INEL. Revision 6

    SciTech Connect (OSTI)

    Not Available

    1994-01-01

    This document presents guidance for assessment of Track 2 low probability hazard sites (LPHS) at the Idaho National Engineering Laboratory (INEL). The Track 2 classification was developed specifically for the INEL to streamline the implementation of Comprehensive Environmental Response, Compensation, and Liability Act. Track 2 LPHSs are described as sites where insufficient data are available to make a decision concerning the risk level or to select or design a remedy. As such, these types of sites are not described in the National Contingency Plan or existing regulatory guidance. The goal of the Track 2 process is to evaluate LPHSs using existing qualitative and quantitative data to minimize the collection of new environmental data. To this end, this document presents a structured format consisting of a series of questions and tables. A qualitative risk assessment is used. The process is iterative, and addresses an LPHS from multiple perspectives (i.e., historical, empirical, process) in an effort to generate a reproducible and defensible method. This rigorous approach follows the data quality objective process and establishes a well organized, logical approach to consolidate and assess existing data, and set decision criteria. If necessary, the process allows for the design of a sampling and analysis strategy to obtain new environmental data of appropriate quality to support decisions for each LPHS. Finally, the guidance expedites consensus between regulatory parties by emphasizing a team approach to Track 2 investigations.

  10. Sampling Report for August 15, 2014 WIPP Samples

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

    and pulley system was constructed to move a camera for documentation and close-up pictures. The sampling device is located at the end of the boom. (Note, this picture is from...

  11. Water Evaporation: A Transition Path Sampling Study

    E-Print Network [OSTI]

    Patrick Varilly; David Chandler

    2012-12-12

    We use transition path sampling to study evaporation in the SPC/E model of liquid water. Based on thousands of evaporation trajectories, we characterize the members of the transition state ensemble (TSE), which exhibit a liquid-vapor interface with predominantly negative mean curvature at the site of evaporation. We also find that after evaporation is complete, the distributions of translational and angular momenta of the evaporated water are Maxwellian with a temperature equal to that of the liquid. To characterize the evaporation trajectories in their entirety, we find that it suffices to project them onto just two coordinates: the distance of the evaporating molecule to the instantaneous liquid-vapor interface, and the velocity of the water along the average interface normal. In this projected space, we find that the TSE is well-captured by a simple model of ballistic escape from a deep potential well, with no additional barrier to evaporation beyond the cohesive strength of the liquid. Equivalently, they are consistent with a near-unity probability for a water molecule impinging upon a liquid droplet to condense. These results agree with previous simulations and with some, but not all, recent experiments.

  12. Plutonium focus area

    SciTech Connect (OSTI)

    NONE

    1996-08-01

    To ensure research and development programs focus on the most pressing environmental restoration and waste management problems at the U.S. Department of Energy (DOE), the Assistant Secretary for the Office of Environmental Management (EM) established a working group in August 1993 to implement a new approach to research and technology development. As part of this new approach, EM developed a management structure and principles that led to the creation of specific Focus Areas. These organizations were designed to focus the scientific and technical talent throughout DOE and the national scientific community on the major environmental restoration and waste management problems facing DOE. The Focus Area approach provides the framework for intersite cooperation and leveraging of resources on common problems. After the original establishment of five major Focus Areas within the Office of Technology Development (EM-50, now called the Office of Science and Technology), the Nuclear Materials Stabilization Task Group (EM-66) followed the structure already in place in EM-50 and chartered the Plutonium Focus Area (PFA). The following information outlines the scope and mission of the EM, EM-60, and EM-66 organizations as related to the PFA organizational structure.

  13. Subsurface contaminants focus area

    SciTech Connect (OSTI)

    1996-08-01

    The US Department of Enregy (DOE) Subsurface Contaminants Focus Area is developing technologies to address environmental problems associated with hazardous and radioactive contaminants in soil and groundwater that exist throughout the DOE complex, including radionuclides, heavy metals; and dense non-aqueous phase liquids (DNAPLs). More than 5,700 known DOE groundwater plumes have contaminated over 600 billion gallons of water and 200 million cubic meters of soil. Migration of these plumes threatens local and regional water sources, and in some cases has already adversely impacted off-site rsources. In addition, the Subsurface Contaminants Focus Area is responsible for supplying technologies for the remediation of numerous landfills at DOE facilities. These landfills are estimated to contain over 3 million cubic meters of radioactive and hazardous buried Technology developed within this specialty area will provide efective methods to contain contaminant plumes and new or alternative technologies for development of in situ technologies to minimize waste disposal costs and potential worker exposure by treating plumes in place. While addressing contaminant plumes emanating from DOE landfills, the Subsurface Contaminants Focus Area is also working to develop new or alternative technologies for the in situ stabilization, and nonintrusive characterization of these disposal sites.

  14. Final Scientific/Technical Report Development of Large-Area Photo...

    Office of Scientific and Technical Information (OSTI)

    very large-area planar photodetectors. The proposed detectors have integrated transmission-line readout and sampling electronics able to achieve timing and position...

  15. PRINT ONLY: LUNAR SAMPLES AND MODELING Hsu W. Zhang A. Guan Y. Ushikubo T. Bartoschewitz R.

    E-Print Network [OSTI]

    Rathbun, Julie A.

    . Galimov E. M. The Estimation of Helium-3 Probable Reserves in Lunar Regolith [#2175] This abstractPRINT ONLY: LUNAR SAMPLES AND MODELING Hsu W. Zhang A. Guan Y. Ushikubo T. Bartoschewitz R. Sayh Al, mineralogy, and trace element geochemistry of the lunar meteorite SaU 300. Opanasenko A. N. Shkuratov Yu. G

  16. PNNL-SA-38977 Measurement Uncertainty in Visual Sample Plan (VSP)

    E-Print Network [OSTI]

    a Threshold Pulsipher Page 1 7/18/2003 #12;PNNL-SA-38977 · Compare Proportion Against a Threshold · Compare Average or Proportion Against Reference Data (background) · Find Hot Spot · Find UXO Target Area Sampling · Continuous Transect Sampling · Judgmental Sampling VSP has a number of unique, special features

  17. Concepts for Environmental Radioactive Air Sampling and Monitoring

    SciTech Connect (OSTI)

    Barnett, J. M.

    2011-11-04

    Environmental radioactive air sampling and monitoring is becoming increasingly important as regulatory agencies promulgate requirements for the measurement and quantification of radioactive contaminants. While researchers add to the growing body of knowledge in this area, events such as earthquakes and tsunamis demonstrate how nuclear systems can be compromised. The result is the need for adequate environmental monitoring to assure the public of their safety and to assist emergency workers in their response. Two forms of radioactive air monitoring include direct effluent measurements and environmental surveillance. This chapter presents basic concepts for direct effluent sampling and environmental surveillance of radioactive air emissions, including information on establishing the basis for sampling and/or monitoring, criteria for sampling media and sample analysis, reporting and compliance, and continual improvement.

  18. Discrimination with error margin between two states - Case of general occurrence probabilities -

    E-Print Network [OSTI]

    H. Sugimoto; T. Hashimoto; M. Horibe; A. Hayashi

    2009-11-18

    We investigate a state discrimination problem which interpolates minimum-error and unambiguous discrimination by introducing a margin for the probability of error. We closely analyze discrimination of two pure states with general occurrence probabilities. The optimal measurements are classified into three types. One of the three types of measurement is optimal depending on parameters (occurrence probabilities and error margin). We determine the three domains in the parameter space and the optimal discrimination success probability in each domain in a fully analytic form. It is also shown that when the states to be discriminated are multipartite, the optimal success probability can be attained by local operations and classical communication. For discrimination of two mixed states, an upper bound of the optimal success probability is obtained.

  19. Depth-discrete sampling port

    DOE Patents [OSTI]

    Pemberton, Bradley E. (Aiken, SC); May, Christopher P. (Columbia, MD); Rossabi, Joseph (Aiken, SC); Riha, Brian D. (Augusta, GA); Nichols, Ralph L. (North Augusta, SC)

    1998-07-07

    A sampling port is provided which has threaded ends for incorporating the port into a length of subsurface pipe. The port defines an internal receptacle which is in communication with subsurface fluids through a series of fine filtering slits. The receptacle is in further communication through a bore with a fitting carrying a length of tubing there which samples are transported to the surface. Each port further defines an additional bore through which tubing, cables, or similar components of adjacent ports may pass.

  20. OPTICAL DISCOVERY OF PROBABLE STELLAR TIDAL DISRUPTION FLARES

    SciTech Connect (OSTI)

    Van Velzen, Sjoert; Farrar, Glennys R. [Center for Cosmology and Particle Physics, New York University, NY 10003 (United States); Gezari, Suvi [Department of Physics and Astronomy, Johns Hopkins University, Baltimore, MD 21218 (United States); Morrell, Nidia [Carnegie Observatories, Las Campanas Observatory, Casillas 601, La Serena (Chile); Zaritsky, Dennis [Steward Observatory, University of Arizona, Tucson, AZ 85721 (United States); Oestman, Linda [Institut de Fisica d'Altes Energies, Universitat Autonoma de Barcelona, E-08193 Bellaterra (Barcelona) (Spain); Smith, Mathew [Department of Mathematics and Applied Mathematics, University of Cape Town, Rondebosch, 7701 (South Africa); Gelfand, Joseph [New York University-Abu Dhabi, Abu Dhabi (United Arab Emirates); Drake, Andrew J., E-mail: s.vanvelzen@astro.ru.nl [Center for Advance Computing Research, California Institute of Technology, Pasadena, CA 91225 (United States)

    2011-11-10

    Using archival Sloan Digital Sky Survey (SDSS) multi-epoch imaging data (Stripe 82), we have searched for the tidal disruption of stars by supermassive black holes in non-active galaxies. Two candidate tidal disruption events (TDEs) are identified. The TDE flares have optical blackbody temperatures of 2 Multiplication-Sign 10{sup 4} K and observed peak luminosities of M{sub g} = -18.3 and -20.4 ({nu}L{sub {nu}} = 5 Multiplication-Sign 10{sup 42}, 4 Multiplication-Sign 10{sup 43} erg s{sup -1}, in the rest frame); their cooling rates are very low, qualitatively consistent with expectations for tidal disruption flares. The properties of the TDE candidates are examined using (1) SDSS imaging to compare them to other flares observed in the search, (2) UV emission measured by GALEX, and (3) spectra of the hosts and of one of the flares. Our pipeline excludes optically identifiable AGN hosts, and our variability monitoring over nine years provides strong evidence that these are not flares in hidden AGNs. The spectra and color evolution of the flares are unlike any SN observed to date, their strong late-time UV emission is particularly distinctive, and they are nuclear at high resolution arguing against these being first cases of a previously unobserved class of SNe or more extreme examples of known SN types. Taken together, the observed properties are difficult to reconcile with an SN or an AGN-flare explanation, although an entirely new process specific to the inner few hundred parsecs of non-active galaxies cannot be excluded. Based on our observed rate, we infer that hundreds or thousands of TDEs will be present in current and next-generation optical synoptic surveys. Using the approach outlined here, a TDE candidate sample with O(1) purity can be selected using geometric resolution and host and flare color alone, demonstrating that a campaign to create a large sample of TDEs, with immediate and detailed multi-wavelength follow-up, is feasible. A by-product of this work is quantification of the power spectrum of extreme flares in AGNs.

  1. Analysis of HEU samples from the ULBA Metallurgical Plant

    SciTech Connect (OSTI)

    Gift, E.H.

    1995-05-01

    In early March 1994, eight highly enriched uranium (HEU) samples were collected from materials stored at the Ulba Metallurgical Plant in Oskamen (Ust Kamenogorsk), Kazakhstan. While at the plant site, portions of four samples were dissolved and analyzed by mass spectrograph at the Ulba analytical laboratory by Ulba analysts. Three of these mass spectrograph solutions and the eight HEU samples were subsequently delivered to the Y-12 Plant for complete chemical and isotopic analyses. Chemical forms of the eight samples were uranium metal chips, U0{sub 2} powder, uranium/beryllium oxide powder, and uranium/beryllium alloy rods. All were declared by the Ulba plant to have a uranium assay of {approximately}90 wt % {sup 235}U. The uranium/beryllium powder and alloy samples were also declared to range from about 8 to 28 wt % uranium. The chemical and uranium isotopic analyses done at the Y-12 Plant confirm the Ulba plant declarations. All samples appear to have been enriched using some reprocessed uranium, probably from recovery of uranium from plutonium production reactors. As a result, all samples contain some {sup 236}U and {sup 232}U and have small but measurable quantities of plutonium. This plutonium could be the result of either contamination carried over from the enrichment process or cross-contamination from weapons material. It is not the result of direct reactor exposure. Neither the {sup 232}U nor the plutonium concentrations are sufficiently high to provide a significant industrial health hazard. Both are well within established or proposed acceptance criteria for storage at Y-12. The trace metal analyses showed that, with the exception of beryllium, there are no trace metals in any of these HEU samples that pose a significant health hazard.

  2. Comment on “Measurement of two- and three-nucleon short-range correlation probabilities in nuclei”

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

    Higinbotham, Douglas W.; Hen, Or

    2015-04-24

    Comment on 'Measurement of 2- and 3-nucleon short range correlation probabilities in nuclei' shows how the reported three-nucleon plateau was likely due to resolution effects.

  3. CONVERGENCE OF THE GRIDDY GIBBS SAMPLING METHOD ...

    E-Print Network [OSTI]

    2013-08-17

    tion probability P of any Monte Carlo Markov Chain by another transition .... The classical Monte Carlo solution to this problem is to simulate independent and.

  4. Program Areas | National Security | ORNL

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

    Organizations National Security Home | Science & Discovery | National Security | Program Areas SHARE Program Areas image Oak Ridge National Laboratory (ORNL) has a robust...

  5. Sampling and Analysis Plan for canister liquid and gas sampling at 105-KW fuel storage basin

    SciTech Connect (OSTI)

    Harris, R.A.; Green, M.A.; Makenas, B.J.; Trimble, D.J.

    1995-03-01

    This Sampling and Analysis Plan (SAP) details the sampling and analyses to be performed on fuel canisters transferred to the Weasel Pit of the 105-KW fuel storage basin. The radionuclide content of the liquid and gas in the canisters must be evaluated to support the shipment of fuel elements to the 300 Area in support of the fuel characterization studies (Abrefah, et al. 1994, Trimble 1995). The following sections provide background information and a description of the facility under investigation, discuss the existing site conditions, present the constituents of concern, outline the purpose and scope of the investigation, outline the data quality objectives (DQO), provide analytical detection limit, precision, and accuracy requirements, and address other quality assurance (QA) issues.

  6. SST Sample Characterization Analysis of Archive Samples 102-C, 105-C, and 106-C

    SciTech Connect (OSTI)

    Hara, F. T.; Kaye, J. H.; Steele, R. T.; Stromatt, R. W.; Thomas, D. L.; Urie, M. W.

    1990-04-01

    A substantial effort is planned to be initiated at the Hanford Site regarding the characterization of 149 single-shell tanks (SSTs) containing the byproducts of reprocessing during the 1950s and 1960s. Sampling and analysis, in distinct phases, are planned to involve laboratory investigations to determine both chemical and radionuclide inventories, so that waste disposal decisions can be developed. During 1989, trial analyses were performed on four archived samples from SSTs at the Pacific Northwest Laboratory using established U.S. Environmental Protection Agency (EPA) protocols and radiochemical procedures. The analysis of the archived SST waste material provides three important types of data for use in planning Phase I-A and Phase 1-B sample analysis. The types of data served as input to I) fi na 1 i zing the waste samp 1 e analysis procedures and methods and identify where procedure developmen~ may be needed, 2) evaluating the impact of normal paraffin hydrocarbon (NPH) lubricant {used in field sampling) on extracting inorganics or radionuclides from the SST sample, and 3) identifying trends in amounts of occupational radiation exposure expected from performing the various analysis procedures. Overall, the results are qualitative in nature, and the conclusions given are to be used with appropriate respect for the limitations of small amounts of data from four samples used in development processes. The results of the Phase I-A and I-B sample analysis will provide essential data for method performance for use in finalizing Phase I-C planning and methods development scope. Section 2.0, Inorganic Analysis, encompasses sample preparation, sample analysis, identification of methods performance limitations, and possible alternatives. Performance of the inorganic analytical methods was evaluated and changes were made to some of the procedures. In some cases, inductively coupled plasma-atomic emission spectroscopy (referred to in this report as ICP) did not provide the levels of accuracy and precision usually required for EPA work due to interference by other elements. In these cases, other methods are suggested as appropriate for trial as alternatives. In all cases, duplicates, spikes, and blanks were used to establish performance of the methods for the specific waste matrix. Results focused on problems in using the methods tested on the samples, the suitability of the ICP method of determining EP Toxicity metal ions and 22 EPA pollutant metal ions, and the suitability of cold vapor atomic absorption (CVAA) for mercury determinations. Problems areas identified are ICP spectral corrections, poor reproducibility from water leach and EP Toxicity methods, and adjustments needed for mercury analysis by CVAA. Section 3.0, Organics Analysis, details two screening procedures [total organic carbon (TOC) and gas chromatography (GC)], extraction procedures and related problems, surrogate spiking to test extraction efficiencies and matrix effects, and semivolatile organics via GC/mass spectroscopy (MS). The results show that the GC/MS is vulnerable to fouling and overload and that a combination of dilution and perhaps acidification are required to provide acceptable results. NPH and silicone-based lubricants from the sampling process impact the semivolatile analysis; however, with some modification the semivolatile method based on EPA SOW 288 can be used. Section 4.0, Radionuclide Analysis, evaluates procedures used to measure the radionuclides that might be found in the SST tank waste samples and establishes the level of accuracy and precision that can be expected. These data reveal that additional procedure development is needed in order to measure all of the radionuclides listed in Table 4-14 of the Waste Characterization Plan. In addition, the archive samples analyzed may not be representative of the tank population and considerable adaptation of the radiochemical procedures may be necessary to perform the desired measurements. NPH tests were conducted to determine whether the NPH from the field sampling process extracted significan

  7. Sample Results from Routine Salt Batch 7 Samples

    SciTech Connect (OSTI)

    Peters, T.

    2015-05-13

    Strip Effluent Hold Tank (SEHT) and Decontaminated Salt Solution Hold Tank (DSSHT) samples from several of the “microbatches” of Integrated Salt Disposition Project (ISDP) Salt Batch (“Macrobatch”) 7B have been analyzed for 238Pu, 90Sr, 137Cs, Inductively Coupled Plasma Emission Spectroscopy (ICPES), and Ion Chromatography Anions (IC-A). The results from the current microbatch samples are similar to those from earlier samples from this and previous macrobatches. The Actinide Removal Process (ARP) and the Modular Caustic-Side Solvent Extraction Unit (MCU) continue to show more than adequate Pu and Sr removal, and there is a distinct positive trend in Cs removal, due to the use of the Next Generation Solvent (NGS). The Savannah River National Laboratory (SRNL) notes that historically, most measured Concentration Factor (CF) values during salt processing have been in the 12-14 range. However, recent processing gives CF values closer to 11. This observation does not indicate that the solvent performance is suffering, as the Decontamination Factor (DF) has still maintained consistently high values. Nevertheless, SRNL will continue to monitor for indications of process upsets. The bulk chemistry of the DSSHT and SEHT samples do not show any signs of unusual behavior.

  8. 100 Area - Hanford Site

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefieldSulfateSciTechtail.Theory ofDidDevelopmentataboutScalablePhysicist: Christian Bauer 101000 Area

  9. 300 Area - Hanford Site

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefieldSulfateSciTechtail.TheoryTuesday, August 10, 20102016 News Below are newsBelle-IIProcesses -1300 Area

  10. 700 Area - Hanford Site

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefieldSulfateSciTechtail.TheoryTuesday, August 10, 20102016 News Below are4B Drawings 4B618-10 and700 Area

  11. Tank Farm Area Closure

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorking With U.S. Coal StocksSuppliers Tag:Take Action APPENDIX-11CoverArea

  12. Tank Farm Area Closure

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorking With U.S. Coal StocksSuppliers Tag:Take Action APPENDIX-11CoverArea

  13. Material Disposal Areas

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformationJesse BergkampCentermillion toMSDS onBudgetMaterial Disposal Areas Material

  14. PROBABILITY OF CORRECT SELECTION OF GAMMA VERSUS GE OR WEIBULL VERSUS GE BASED ON

    E-Print Network [OSTI]

    Kundu, Debasis

    PROBABILITY OF CORRECT SELECTION OF GAMMA VERSUS GE OR WEIBULL VERSUS GE BASED ON LIKELIHOOD RATIO proposes the use of likelihood ratio statistic in choosing between gamma and GE models or between Weibull and GE models. Probability of correct selec- tions are obtained using Monte Carlo simulations for various

  15. Harmonic Functions and Collision Probabilities Christopher I. Connolly, EK 266 y

    E-Print Network [OSTI]

    Choset, Howie

    Harmonic Functions and Collision Probabilities Christopher I. Connolly, EK 266 y Arti cial-5022, FAX (415) 859-3735 email: connolly@ai.sri.com Abstract There is a close relationship between harmonic processes. The hitting probabilities for random walks can be cast as a Dirichlet problem for harmonic func

  16. Logistic Regression and Bayesian Model Selection in Estimation of Probability of Success

    E-Print Network [OSTI]

    Shemyakin, Arkady

    1 1 Logistic Regression and Bayesian Model Selection in Estimation of Probability of Success Arkady ABSTRACT Logistic regression and linear discriminant analysis are used to estimate probability of success X is analyzed as an explanatory variable. A comparison is made between logistic regression technique

  17. Optimal Points for a Probability Distribution on a Nonhomogeneous Cantor Set 

    E-Print Network [OSTI]

    Roychowdhury, Lakshmi 1975-

    2012-12-21

    line with distinct similarity ratios. Then we have defined a nonhomogeneous probability measure, the support of which lies on the Cantor set. For such a probability measure first we have determined the n-optimal points and the nth quantization error...

  18. APPENDIX 2 --ENVIRONMENTAL ASSESSMENT This document assesses the probable impacts on the human

    E-Print Network [OSTI]

    APPENDIX 2 -- ENVIRONMENTAL ASSESSMENT 1. SUMMARY This document assesses the probable impacts here by reference. 3. ASSESSMENT OF THE PROBABLE ENVIRONMENTAL IMPACTS 3.1. Impacts of the Proposed to define overfishing will have no significant impacts on the human environment, on marine mammals

  19. Reduced-Outage-Probability Algorithms for Cross-Layer Call Admission Control in CDMA

    E-Print Network [OSTI]

    Blostein, Steven D.

    1 Reduced-Outage-Probability Algorithms for Cross-Layer Call Admission Control in CDMA Beamforming, increases outage probability in the physical layer. In this paper, we investigate the mitigation of the outage problem in the context of cross-layer performance, and propose CAC algorithms for code

  20. Outage Probability for Free-Space Optical Systems Over Slow Fading Channels With Pointing Errors

    E-Print Network [OSTI]

    Hranilovic, Steve

    Outage Probability for Free-Space Optical Systems Over Slow Fading Channels With Pointing Errors, Canada. Email: farid@grads.ece.mcmaster.ca, hranilovic@mcmaster.ca Abstract-- We investigate the outage errors. An expression for the outage probability is derived and we show that optimizing the transmit- ted

  1. SUBMITTED TO IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS 1 Outage Probability for Diversity Combining

    E-Print Network [OSTI]

    Evans, Brian L.

    SUBMITTED TO IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS 1 Outage Probability for Diversity of outage probability in the low-outage regime. The contributions of this paper are (1) derivation of closed, selection and post-detection combining; (2) comparison of the relative outage performance

  2. The Impact of Fading on the Outage Probability in Cognitive Radio Networks

    E-Print Network [OSTI]

    Loyka, Sergey

    1 The Impact of Fading on the Outage Probability in Cognitive Radio Networks Yaobin Wen, Sergey Loyka and Abbas Yongacoglu Abstract--This paper analyzes the outage probability in cog- nitive radio possible scenarios are classified into three cases based on typical outage events. When the average number

  3. Outage Probability in a Multi-Cellular Network using Alamouti Scheme

    E-Print Network [OSTI]

    Coupechoux, Marceau

    Outage Probability in a Multi-Cellular Network using Alamouti Scheme Dorra Ben Cheikh , Jean to interference plus noise ratio (SINR) or equivalently the outage probability in flat Rayleigh fading. The system power from the interfering base stations. In the first case, a closed- form expression for the outage

  4. Cut-off Rate based Outage Probability Analysis of Frequency Hopping Mobile Radio under Jamming

    E-Print Network [OSTI]

    Yýlmaz, Özgür

    Cut-off Rate based Outage Probability Analysis of Frequency Hopping Mobile Radio under Jamming--This paper deals with the achievable spectral ef- ficiency and outage analysis of short burst frequency hopping (FH) mobile radios under heavy jamming scenarios. With the use of outage probability analysis

  5. Analysis and Computation of the Outage Probability of Discrete-Input Block-Fading Channels

    E-Print Network [OSTI]

    Guillén i Fàbregas, Albert

    Analysis and Computation of the Outage Probability of Discrete-Input Block-Fading Channels Khoa D IS ELIGIBLE FOR THE STUDENT PAPER AWARD. In this paper, we propose a tight lower bound to the outage is not supported by a particular channel realization [1], [2]. This probability is named the information outage

  6. On the Impact of Mobility on Outage Probability in Cellular Networks

    E-Print Network [OSTI]

    Coupechoux, Marceau

    On the Impact of Mobility on Outage Probability in Cellular Networks Jean-Marc Kelif France Telecom an analytical study of the mobility in cellular networks and its impact on quality of service and outage power. It allows us to analyze users mobility and to derive expressions of the outage probability. We

  7. IEEE TRANSACTIONS ON COMMUNICATIONS, VOL. 62, NO. 2, FEBRUARY 2014 699 Outage Probability in

    E-Print Network [OSTI]

    Durrani, Salman

    IEEE TRANSACTIONS ON COMMUNICATIONS, VOL. 62, NO. 2, FEBRUARY 2014 699 Outage Probability, IEEE, and Xiangyun Zhou, Member, IEEE Abstract--This paper analyzes the outage performance in finite the outage probability at any arbitrary location of an arbitrarily-shaped finite wireless network: (i

  8. Outage Probability of Amplify-and-Forward Opportunistic Relaying with Multiple Interferers

    E-Print Network [OSTI]

    Lee, Jae Hong

    Outage Probability of Amplify-and-Forward Opportunistic Relaying with Multiple Interferers over channels. We derive the closed-form expression of the outage probability for the AF opportunistic relaying derive the analytical results. Also, in [9], the authors investigate the outage behavior of the dual

  9. Modification for complex-particle emission probability in the pre-equilibrium exciton model

    SciTech Connect (OSTI)

    Miao Ron-zhi; Wu Guo-hua; Zheng Wei-han; Liu Jian-ye; Yu Chao-fan; Yu Xie

    1986-04-01

    Starting from a state density formula that distinguishes between neutrons and protons, we have derived corrections for the emission probability W/sub alphabeta/ for complex particles and the purely combinatorial probability R/sub alphabeta/. The calculated results agree well with experimental data and show clear improvement over previous calculations.

  10. Bit Transmission Probability Maximizing the Key Rate of the BB84 Protocol

    E-Print Network [OSTI]

    Sonny Lumbantoruan; Ryutaroh Matsumoto; Tomohiko Uyematsu

    2010-03-11

    In all papers on the BB84 protocol, the transmission probability of each bit value is usually set to be equal. In this paper, we show that by assigning different transmission probability to each transmitted qubit within a single polarization basis, we can generally improve the key generation rate of the BB84 protocol and achieve a higher key rate.

  11. Applied Probability Trust (4 February 2008) INDEX POLICIES FOR DISCOUNTED BANDIT PROBLEMS

    E-Print Network [OSTI]

    Powell, Warren B.

    . Then it is assumed that arms may break down, but repair is an option at some cost, and the new Whittle index policyApplied Probability Trust (4 February 2008) INDEX POLICIES FOR DISCOUNTED BANDIT PROBLEMS/action-dependent probabilities. It is proven that no index policy can attain the maximum expected total discounted reward

  12. On the probability of hitting a deer with a car Robert Estalella

    E-Print Network [OSTI]

    Estalella, Robert

    On the probability of hitting a deer with a car Robert Estalella 2003 August 1 Introduction Hitting an animal while driving a car, or even being close to hitting it, is terribly upsetting. This is what that jumped across the road just in front of our car. I started thinking about the probability of hitting

  13. Probability-density function for energy perturbations of isolated optical pulses

    E-Print Network [OSTI]

    Lakoba, Taras I.

    Probability-density function for energy perturbations of isolated optical pulses C. J. Mc to determine the probability-density function (PDF) for noise-induced energy perturbations of isolated (solitary) optical pulses in fiber communication systems. The analytical formula is consistent

  14. A Unifying Field in Logics: Neutrosophic Logic, Neutrosophic Set, Neutrosophic Probability and Statistics (fourth edition)

    E-Print Network [OSTI]

    Florentin Smarandache

    2010-08-31

    In this book one makes an introduction to non-standard analysis in the first part, needed to the next four chapters in order to study the neutrosophics: 1. Neutrosophy - a new branch of philosophy. 2. Neutrosophic Logic - a unifying field in logics. 3. Neutrosophic Set - a unifying field in sets. 4. Neutrosophic Probability - a generalization of classical and imprecise probabilities - and Neutrosophic Statistics.

  15. Proceedings of the First International Conference on Neutrosophy, Neutrosophic Logic, Neutrosophic Set, Neutrosophic Probability and Statistics

    E-Print Network [OSTI]

    Florentin Smarandache; Jean Dezert; S. Bhattacharya; Andrzej Buller; M. Khoshnevisan; S. Singh; Feng Liu; Gh. C. Dinulescu-Campina; Chris Lucas; C. Gershenson

    2003-06-26

    Papers on neutrosophy (a generalization of dialectics), on neutrosophic logic, set, probability and statistics (generalizations of fuzzy logic, fuzzy set, and imprecise probability respectively), by Florentin Smarandache, Jean Dezert, S. Bhattacharya, Andrzej Buller, M. Khoshnevisan, S. Singh, Feng Liu, Gh. C. Dinulescu-Campina, Chris Lucas, and C. Gershenson.

  16. Calculation of the cumulative reaction probability via a discrete variable representation with absorbing boundary conditions

    E-Print Network [OSTI]

    Miller, William H.

    of a bimo- lecular chemical reaction, i.e., state-to-state differential and integral cross sections. HoweverCalculation of the cumulative reaction probability via a discrete variable representation is suggested for the calculation of the microcanonical cumulative reaction probability uia flux autocorrelation

  17. Everything You Always Wanted to Know About Probability Theory, But Were Afraid to Ask \\Lambda

    E-Print Network [OSTI]

    Pratt, Vaughan

    of the subject to provide the reader a working knowledge of probabilities. This paper is an attempt to provide, in the case of acquiring a ``working knowledge'' of probability theory, there is much more to be concerned of the subject to provide the reader a ``working knowledge.'' This paper is an attempt to provide

  18. Detection Probability Modeling for Airport Wind-Shear August 28, 2008

    E-Print Network [OSTI]

    Cho, John Y. N.

    Detection Probability Modeling for Airport Wind-Shear Sensors August 28, 2008 John Y. N. Cho Robert An objective wind-shear detection probability estimation model is developed for radar, lidar, and sensor combinations. The model includes effects of system sensitivity, site-specific wind-shear, clutter, and terrain

  19. PROBABILITY OF ERROR FOR TRAINED UNITARY SPACE-TIME MODULATION OVER A

    E-Print Network [OSTI]

    Swindlehurst, A. Lee

    PROBABILITY OF ERROR FOR TRAINED UNITARY SPACE-TIME MODULATION OVER A GAUSS-INNOVATIONS RICIAN probability of error for trained uni- tary space-time modulation over channels with a constant specular trained modulation, assuming that the channel is constant between training periods. All of the above

  20. LES/probability density function approach for the simulation of an ethanol spray flame

    E-Print Network [OSTI]

    Raman, Venkat

    LES/probability density function approach for the simulation of an ethanol spray flame Colin Heye a an experimental pilot-stabilized ethanol spray flame. In this particular flame, droplet evaporation occurs away: Large-eddy simulation; Probability density function; Flamelet/progress variable approach; Ethanol

  1. datamanagementgroup 2011 SURVEY AREA SUMMARY

    E-Print Network [OSTI]

    Toronto, University of

    Collingwood CFB Borden 0 10 20 Kilometers Area = 521,900 Hectares #12;POPULATION CHARACTERISTICS Population

  2. Nevada National Security Site Integrated Groundwater Sampling Plan, Revision 0

    SciTech Connect (OSTI)

    Marutzky, Sam; Farnham, Irene

    2014-10-01

    The purpose of the Nevada National Security Site (NNSS) Integrated Sampling Plan (referred to herein as the Plan) is to provide a comprehensive, integrated approach for collecting and analyzing groundwater samples to meet the needs and objectives of the U.S. Department of Energy (DOE), National Nuclear Security Administration Nevada Field Office (NNSA/NFO) Underground Test Area (UGTA) Activity. Implementation of this Plan will provide high-quality data required by the UGTA Activity for ensuring public protection in an efficient and cost-effective manner. The Plan is designed to ensure compliance with the UGTA Quality Assurance Plan (QAP). The Plan’s scope comprises sample collection and analysis requirements relevant to assessing the extent of groundwater contamination from underground nuclear testing. This Plan identifies locations to be sampled by corrective action unit (CAU) and location type, sampling frequencies, sample collection methodologies, and the constituents to be analyzed. In addition, the Plan defines data collection criteria such as well-purging requirements, detection levels, and accuracy requirements; identifies reporting and data management requirements; and provides a process to ensure coordination between NNSS groundwater sampling programs for sampling of interest to UGTA. This Plan does not address compliance with requirements for wells that supply the NNSS public water system or wells involved in a permitted activity.

  3. Inertial impaction air sampling device

    DOE Patents [OSTI]

    Dewhurst, K.H.

    1987-12-10

    An inertial impactor to be used in an air sampling device for collection of respirable size particles in ambient air which may include a graphite furnace as the impaction substrate in a small-size, portable, direct analysis structure that gives immediate results and is totally self-contained allowing for remote and/or personal sampling. The graphite furnace collects suspended particles transported through the housing by means of the air flow system, and these particles may be analyzed for elements, quantitatively and qualitatively, by atomic absorption spectrophotometry. 3 figs.

  4. Inertial impaction air sampling device

    DOE Patents [OSTI]

    Dewhurst, K.H.

    1990-05-22

    An inertial impactor is designed which is to be used in an air sampling device for collection of respirable size particles in ambient air. The device may include a graphite furnace as the impaction substrate in a small-size, portable, direct analysis structure that gives immediate results and is totally self-contained allowing for remote and/or personal sampling. The graphite furnace collects suspended particles transported through the housing by means of the air flow system, and these particles may be analyzed for elements, quantitatively and qualitatively, by atomic absorption spectrophotometry. 3 figs.

  5. Communication Engineering Systems Sampling Theorem &

    E-Print Network [OSTI]

    Kovintavewat, Piya

    x nT nx continuous sample quantized sample binary stream x t x t 2 D 7 D 8 D ( ) 7L MIDRISE s T 3 DPCM (1-bit quantizer) 1 (unit delay) 17 1n n nv x x , 0 sgn , 0 n n n n v v v v 1n n nx v x 2 DM #12;.. DM 18 1n n nx x v nx 1 1 sgn sgn n n n i ii i x v v #12;.. 19 1 b s b R mf T #12

  6. The Ocean Sampling Day Consortium

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

    Kopf, Anna; Bicak, Mesude; Kottmann, Renzo; Schnetzer, Julia; Kostadinov, Ivaylo; Lehmann, Katja; Fernandez-Guerra, Antonio; Jeanthon, Christian; Rahav, Eyal; Ullrich, Matthias; et al

    2015-06-19

    In this study, Ocean Sampling Day was initiated by the EU-funded Micro B3 (Marine Microbial Biodiversity, Bioinformatics, Biotechnology) project to obtain a snapshot of the marine microbial biodiversity and function of the world’s oceans. It is a simultaneous global mega-sequencing campaign aiming to generate the largest standardized microbial data set in a single day. This will be achievable only through the coordinated efforts of an Ocean Sampling Day Consortium, supportive partnerships and networks between sites. This commentary outlines the establishment, function and aims of the Consortium and describes our vision for a sustainable study of marine microbial communities and theirmore »embedded functional traits.« less

  7. NATURE PHYSICS | VOL 10 | FEBRUARY 2014 | www.nature.com/naturephysics 81 String and sealing wax --although probably

    E-Print Network [OSTI]

    Loss, Daniel

    and sealing wax -- although probably no longer physicists' preferred ingredients for their experiments

  8. Cluster formation probability in the trans-tin and trans-lead nuclei

    E-Print Network [OSTI]

    K. P. Santhosh; R. K. Biju; Sabina Sahadevan

    2010-05-10

    Within our fission model, the Coulomb and proximity potential model (CPPM) cluster formation probabilities are calculated for different clusters ranging from carbon to silicon for the parents in the trans-tin and trans- lead regions. It is found that in trans-tin region the 12^C, 16^O, 20^Ne and 24^Mg clusters have maximum cluster formation probability and lowest half lives as compared to other clusters. In trans-lead region the 14^C, 18, 20^O, 23^F, 24,26^Ne, 28,30^Mg and 34^Si clusters have the maximum cluster formation probability and minimum half life, which show that alpha like clusters are most probable for emission from trans-tin region while non-alpha clusters are probable from trans-lead region. These results stress the role of neutron proton symmetry and asymmetry of daughter nuclei in these two cases.

  9. AFRICAN AMERICAN PSYCHOLOGY Sample Syllabus

    E-Print Network [OSTI]

    Hopfinger, Joseph B.

    AFRICAN AMERICAN PSYCHOLOGY PSYC 503 Sample Syllabus Course Description and Overview: This course examines the psychology of the African American experience. We begin the course with an overview of Black/African American psychology as an evolving field of study and consider the Black/African American Psychology

  10. Design of bioaerosol sampling inlets 

    E-Print Network [OSTI]

    Nene, Rohit Ravindra

    2007-09-17

    An experimental investigation involving the design, fabrication, and testing of an ambient sampling inlet and two additional Stokes-scaled inlets is presented here. Testing of each inlet was conducted at wind speeds of 2, 8, and 24 km/h (0.55, 2...

  11. Long-Term Ecological Monitoring Field Sampling Plan for 2007

    SciTech Connect (OSTI)

    T. Haney R. VanHorn

    2007-07-31

    This field sampling plan describes the field investigations planned for the Long-Term Ecological Monitoring Project at the Idaho National Laboratory Site in 2007. This plan and the Quality Assurance Project Plan for Waste Area Groups 1, 2, 3, 4, 5, 6, 7, 10, and Removal Actions constitute the sampling and analysis plan supporting long-term ecological monitoring sampling in 2007. The data collected under this plan will become part of the long-term ecological monitoring data set that is being collected annually. The data will be used t determine the requirements for the subsequent long-term ecological monitoring. This plan guides the 2007 investigations, including sampling, quality assurance, quality control, analytical procedures, and data management. As such, this plan will help to ensure that the resulting monitoring data will be scientifically valid, defensible, and of known and acceptable quality.

  12. NCS area of applicability determination for AVLIS

    SciTech Connect (OSTI)

    Gross, C.; Koopman, R.P.

    1999-07-01

    The authors present a method for examining congruence between the processes that make up an AVLIS enrichment plant and the benchmark critical experiments that are used to establish the bias and validate the codes used for nuclear criticality safety (NCS) calculations of those processes. A measure of the validity of the process of selecting critical experiments that are similar in nature to processes found in the plant is presented. The probability of fission depends primarily on neutron energy and the interaction cross sections of the materials in the process. The physics of fission has led one to consider the energy of neutrons causing fission to be the fundamental parameter for examining the area of applicability. Benchmark experiments are chosen to cover the material compositions, geometric arrangements, neutron energy spectra, and other parameters such as material heterogeneity, neutron leakage or reflection, interaction, and absorption in special materials. These parameters influence the process by affecting the number of neutrons available to cause fission at any given energy. The neutron energy distribution is established primarily as a result of the energy-dependent cross sections for the materials that are present. Thus, the energy of neutrons causing fission is the fundamental parameter needed for examining the effects of other parameters within the area of applicability.

  13. T-1 Training Area

    ScienceCinema (OSTI)

    None

    2015-01-09

    Another valuable homeland security asset at the NNSS is the T-1 training area, which covers more than 10 acres and includes more than 20 separate training venues. Local, County, and State first responders who train here encounter a variety of realistic disaster scenarios. A crashed 737 airliner lying in pieces across the desert, a helicopter and other small aircraft, trucks, buses, and derailed train cars are all part of the mock incident scene. After formal classroom education, first responders are trained to take immediate decisive action to prevent or mitigate the use of radiological or nuclear devices by terrorists. The Counterterrorism Operations Support Center for Radiological Nuclear Training conducts the courses and exercises providing first responders from across the nation with the tools they need to protect their communities. All of these elements provide a training experience that cannot be duplicated anywhere else in the country.

  14. T-1 Training Area

    SciTech Connect (OSTI)

    2014-11-07

    Another valuable homeland security asset at the NNSS is the T-1 training area, which covers more than 10 acres and includes more than 20 separate training venues. Local, County, and State first responders who train here encounter a variety of realistic disaster scenarios. A crashed 737 airliner lying in pieces across the desert, a helicopter and other small aircraft, trucks, buses, and derailed train cars are all part of the mock incident scene. After formal classroom education, first responders are trained to take immediate decisive action to prevent or mitigate the use of radiological or nuclear devices by terrorists. The Counterterrorism Operations Support Center for Radiological Nuclear Training conducts the courses and exercises providing first responders from across the nation with the tools they need to protect their communities. All of these elements provide a training experience that cannot be duplicated anywhere else in the country.

  15. DOE Designates Southwest Area and Mid-Atlantic Area National...

    Energy Savers [EERE]

    Corridors DOE Designates Southwest Area and Mid-Atlantic Area National Interest Electric Transmission Corridors October 2, 2007 - 2:50pm Addthis WASHINGTON, DC - U.S. Department...

  16. Measurement of emission fluxes from Technical Area 54, Area G and L. Final report

    SciTech Connect (OSTI)

    Eklund, B.

    1995-03-15

    The emission flux (mass/time-area) of tritiated water from TA-54 was measured to support the characterization of radioactive air emissions from waste sites for the Radioactive Air Emissions Management (RAEM) program and for the Area G Performance Assessment. Measurements were made at over 180 locations during the summers of 1993 and 1994, including randomly selected locations across Area G, three suspected areas of contamination at Area G, and the property surrounding TA-54. The emission fluxes of radon were measured at six locations and volatile organic compounds (VOCs) at 30 locations. Monitoring was performed at each location over a several-hour period using the U.S. EPA flux chamber approach. Separate samples for tritiated water, radon, and VOCs were collected and analyzed in off-site laboratories. The measured tritiated water emission fluxes varied over several orders of magnitude, from background levels of about 3 pCi/m{sup 2}-min to 9.69 x 10{sup 6} pCi/m{sup 2}-min near a disposal shaft. Low levels of tritiated water were found to have migrated into Pajarito Canyon, directly south of Area G. The tritium flux data were used to generate an estimated annual emission rate of 14 Curies/yr for all of Area G, with the majority of this activity being emitted from relatively small areas adjacent to several disposal shafts. The estimated total annual release is less than 1% of the total tritium release from all LANL in 1992 and results in a negligible off-site dose. Based on the limited data available, the average emission flux of radon from Area G is estimated to be 8.1 pCi/m{sup 2}-min. The measured emission fluxes of VOCs were < 100 {mu}g/m{sup 2}-min, which is small compared with fluxes typically measured at hazardous waste landfills. The air quality impacts of these releases were evaluated in a separate report.

  17. The development of radioactive sample surrogates for training and exercises

    SciTech Connect (OSTI)

    Martha Finck; Bevin Brush; Dick Jansen; David Chamberlain; Don Dry; George Brooks; Margaret Goldberg

    2012-03-01

    The development of radioactive sample surrogates for training and exercises Source term information is required for to reconstruct a device used in a dispersed radiological dispersal device. Simulating a radioactive environment to train and exercise sampling and sample characterization methods with suitable sample materials is a continued challenge. The Idaho National Laboratory has developed and permitted a Radioactive Response Training Range (RRTR), an 800 acre test range that is approved for open air dispersal of activated KBr, for training first responders in the entry and exit from radioactively contaminated areas, and testing protocols for environmental sampling and field characterization. Members from the Department of Defense, Law Enforcement, and the Department of Energy participated in the first contamination exercise that was conducted at the RRTR in the July 2011. The range was contaminated using a short lived radioactive Br-82 isotope (activated KBr). Soil samples contaminated with KBr (dispersed as a solution) and glass particles containing activated potassium bromide that emulated dispersed radioactive materials (such as ceramic-based sealed source materials) were collected to assess environmental sampling and characterization techniques. This presentation summarizes the performance of a radioactive materials surrogate for use as a training aide for nuclear forensics.

  18. Quasi-probability representations of quantum theory with applications to quantum information science

    E-Print Network [OSTI]

    Christopher Ferrie

    2011-10-15

    This article comprises a review of both the quasi-probability representations of infinite-dimensional quantum theory (including the Wigner function) and the more recently defined quasi-probability representations of finite-dimensional quantum theory. We focus on both the characteristics and applications of these representations with an emphasis toward quantum information theory. We discuss the recently proposed unification of the set of possible quasi-probability representations via frame theory and then discuss the practical relevance of negativity in such representations as a criteria for quantumness.

  19. Rock Sampling | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page onRAPID/Geothermal/Exploration/ColoradoRemsenburg-Speonk, NewMichigan: Energy Resources JumpMtSampling Jump to:

  20. Water Sampling At Coso Geothermal Area (1977-1978) | Open Energy

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page| Open Energy Information Serbia-EnhancingEt Al.,Turin,VillageWarrensource History View New Pages RecentInformation

  1. Water Sampling At Dixie Valley Geothermal Area (Wood, 2002) | Open Energy

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page| Open Energy Information Serbia-EnhancingEt Al.,Turin,VillageWarrensource History View New Pages

  2. Water Sampling At Hawthorne Area (Lazaro, Et Al., 2010) | Open Energy

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page| Open Energy Information Serbia-EnhancingEt Al.,Turin,VillageWarrensource History View New PagesInformation

  3. Water Sampling At Hot Lake Area (Wood, 2002) | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page| Open Energy Information Serbia-EnhancingEt Al.,Turin,VillageWarrensource History View New

  4. Water Sampling At Kilauea East Rift Geothermal Area (FURUMOTO, 1976) | Open

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page| Open Energy Information Serbia-EnhancingEt Al.,Turin,VillageWarrensource History View NewOpen EnergyEnergy

  5. Water Sampling At Long Valley Caldera Geothermal Area (McKenzie &

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page| Open Energy Information Serbia-EnhancingEt Al.,Turin,VillageWarrensource History View NewOpen

  6. Water Sampling At Long Valley Caldera Geothermal Area (Sorey, Et Al., 1991)

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page| Open Energy Information Serbia-EnhancingEt Al.,Turin,VillageWarrensource History View NewOpen| Open Energy

  7. Water Sampling At Mickey Hot Springs Area (Wood, 2002) | Open Energy

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page| Open Energy Information Serbia-EnhancingEt Al.,Turin,VillageWarrensource History View NewOpen| Open

  8. Water Sampling At Rhodes Marsh Area (Coolbaugh, Et Al., 2006) | Open Energy

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page| Open Energy Information Serbia-EnhancingEt Al.,Turin,VillageWarrensource History View NewOpen| OpenInformation

  9. Water Sampling At Salton Sea Area (Wood, 2002) | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page| Open Energy Information Serbia-EnhancingEt Al.,Turin,VillageWarrensource History View NewOpen|

  10. Water Sampling At Silver Peak Area (Henkle, Et Al., 2005) | Open Energy

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page| Open Energy Information Serbia-EnhancingEt Al.,Turin,VillageWarrensource History View NewOpen|Information Silver

  11. Water Sampling At Teels Marsh Area (Coolbaugh, Et Al., 2006) | Open Energy

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page| Open Energy Information Serbia-EnhancingEt Al.,Turin,VillageWarrensource History View NewOpen|Information

  12. Water Sampling At Twenty-Nine Palms Area (Page, Et Al., 2010) | Open Energy

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page| Open Energy Information Serbia-EnhancingEt Al.,Turin,VillageWarrensource History View

  13. Water Sampling At Umpqua Hot Springs Area (Wood, 2002) | Open Energy

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page| Open Energy Information Serbia-EnhancingEt Al.,Turin,VillageWarrensource History ViewInformation Umpqua Hot

  14. Water Sampling At Valles Caldera - Redondo Geothermal Area (Goff, Et Al.,

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page| Open Energy Information Serbia-EnhancingEt Al.,Turin,VillageWarrensource History ViewInformation Umpqua Hot1982)

  15. Water Sampling At Valles Caldera - Sulphur Springs Area (Rao, Et Al., 1996)

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page| Open Energy Information Serbia-EnhancingEt Al.,Turin,VillageWarrensource History ViewInformation Umpqua Hot1982)|

  16. Water-Gas Samples At Fenton Hill Hdr Geothermal Area (Goff & Janik, 2002) |

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page| Open Energy Information Serbia-EnhancingEt Al.,Turin,VillageWarrensource History ViewInformation

  17. Water-Gas Samples At Long Valley Caldera Geothermal Area (Farrar, Et Al.,

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page| Open Energy Information Serbia-EnhancingEt Al.,Turin,VillageWarrensource History ViewInformation2003) | Open

  18. Rock Sampling At Blue Mountain Geothermal Area (U.S. Geological...

    Open Energy Info (EERE)

    near Blue Mountain and Pumpernickel Valley near Winnemucca to study regional crustal structures to help understand the geologic framework of Blue Mountain and help in mineral and...

  19. 2015 Research projects will be available in the following areas: Faculty Member Sample Project Topic

    E-Print Network [OSTI]

    Radke, Rich

    with Linux, Python, C#, Matlab, internet protocols, embedded processors (e.g., Raspberry pi, Arduino

  20. Food Group Consumption in a Sample of Children in Houston Area and Its Related Influencing Factors 

    E-Print Network [OSTI]

    Peng, Lu

    2012-07-16

    The objective of this research is to discover if significant relationships exist between age, gender, household income, locations where children/adolescents ate, whom they ate with, whether they considered the food as a ...

  1. Surface Gas Sampling At Fenton Hill HDR Geothermal Area (Goff & Janik,

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page| Open Energy Information Serbia-Enhancing CapacityVectren)Model for theSunLanSuperDrive IncCity, New Jersey:2002) |

  2. Surface Gas Sampling At Fenton Hill HDR Geothermal Area (Grigsby, Et Al.,

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page| Open Energy Information Serbia-Enhancing CapacityVectren)Model for theSunLanSuperDrive IncCity, New Jersey:2002)

  3. Surface Gas Sampling At Jemez Springs Area (Goff & Janik, 2002) | Open

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page| Open Energy Information Serbia-Enhancing CapacityVectren)Model for theSunLanSuperDrive IncCity, New

  4. Surface Gas Sampling At Lassen Volcanic National Park Area (Janik &

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page| Open Energy Information Serbia-Enhancing CapacityVectren)Model for theSunLanSuperDrive IncCity, NewMclaren, 2010) |

  5. Surface Gas Sampling At Lightning Dock Area (Norman & Moore, 2004) | Open

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page| Open Energy Information Serbia-Enhancing CapacityVectren)Model for theSunLanSuperDrive IncCity, NewMclaren, 2010)

  6. Surface Gas Sampling At Lightning Dock Area (Norman, Et Al., 2002) | Open

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page| Open Energy Information Serbia-Enhancing CapacityVectren)Model for theSunLanSuperDrive IncCity, NewMclaren,

  7. Surface Gas Sampling At Valles Caldera - Redondo Area (Goff & Janik, 2002)

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page| Open Energy Information Serbia-Enhancing CapacityVectren)Model for theSunLanSuperDrive IncCity, NewMclaren,| Open

  8. Surface Gas Sampling At Valles Caldera - Sulphur Springs Area (Goff &

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page| Open Energy Information Serbia-Enhancing CapacityVectren)Model for theSunLanSuperDrive IncCity, NewMclaren,|

  9. Surface Water Sampling At Chena Geothermal Area (Holdmann, Et Al., 2006) |

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page| Open Energy Information Serbia-Enhancing CapacityVectren)Model for theSunLanSuperDrive IncCity,Open Energy

  10. Surface Water Sampling At Chena Geothermal Area (Waring, Et Al., 1917) |

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page| Open Energy Information Serbia-Enhancing CapacityVectren)Model for theSunLanSuperDrive IncCity,Open EnergyOpen Energy

  11. Surface Water Sampling At Raft River Geothermal Area (1973) | Open Energy

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page| Open Energy Information Serbia-Enhancing CapacityVectren)Model for theSunLanSuperDrive IncCity,Open EnergyOpen

  12. Letter: Preliminary Sampling for Surface Soil at the Katy Trail Area.

    Office of Legacy Management (LM)

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  13. Groundwater Sampling At Kilauea East Rift Geothermal Area (Cox & Thomas,

    Open Energy Info (EERE)

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  14. Groundwater Sampling At Raft River Geothermal Area (2004-2011) | Open

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  15. Gas Flux Sampling At Akutan Fumaroles Area (Kolker, Et Al., 2010) | Open

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  16. Gas Flux Sampling At Black Warrior Area (DOE GTP) | Open Energy Information

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  17. Gas Flux Sampling At Desert Peak Area (Lechler And Coolbaugh, 2007) | Open

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  18. Gas Flux Sampling At Dixie Valley Geothermal Area (Iovenitti, Et Al., 2013)

    Open Energy Info (EERE)

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  19. Gas Flux Sampling At Haleakala Volcano Area (Thomas, 1986) | Open Energy

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  20. Gas Flux Sampling At Hualalai Northwest Rift Area (Thomas, 1986) | Open

    Open Energy Info (EERE)

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  1. Gas Flux Sampling At Kawaihae Area (Thomas, 1986) | Open Energy Information

    Open Energy Info (EERE)

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  2. Gas Flux Sampling At Kilauea East Rift Geothermal Area (Thomas, 1986) |

    Open Energy Info (EERE)

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  3. Gas Flux Sampling At Lahaina-Kaanapali Area (Thomas, 1986) | Open Energy

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  4. Gas Flux Sampling At Lightning Dock Area (Cunniff & Bowers, 2005) | Open

    Open Energy Info (EERE)

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  5. Gas Flux Sampling At Lualualei Valley Area (Thomas, 1986) | Open Energy

    Open Energy Info (EERE)

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  6. Rock Sampling At Blue Mountain Geothermal Area (U.S. Geological Survey,

    Open Energy Info (EERE)

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  7. Rock Sampling At Jemez Mountain Area (Eichelberger & Koch, 1979) | Open

    Open Energy Info (EERE)

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  8. Rock Sampling At Zuni Mountains Nm Area (Brookins, 1982) | Open Energy

    Open Energy Info (EERE)

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  9. Soil Gas Sampling At Chena Geothermal Area (Kolker, 2008) | Open Energy

    Open Energy Info (EERE)

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  10. Soil Gas Sampling At Kilauea East Rift Geothermal Area (Cox, 1980) | Open

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page| Open Energy Information Serbia-Enhancing Capacity forSilicium de ProvenceSolarProjectHill,Energy Information

  11. Soil Sampling At Dixie Valley Geothermal Area (Nash & D., 1997) | Open

    Open Energy Info (EERE)

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  12. Soil Sampling At Kilauea East Rift Geothermal Area (Cox, 1981) | Open

    Open Energy Info (EERE)

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  13. Soil Sampling At Lester Meadow Area (Vice, 2008) | Open Energy Information

    Open Energy Info (EERE)

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  14. Soil Sampling At Long Valley Caldera Geothermal Area (Klusman & Landress,

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page| Open Energy Information Serbia-Enhancing Capacity forSilicium de ProvenceSolarProjectHill,EnergyEnergyEnergySoil1979)

  15. Soil Sampling At Reese River Area (Henkle, Et Al., 2005) | Open Energy

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  16. Soil Sampling At Salt Wells Area (Henkle, Et Al., 2005) | Open Energy

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  17. Soil Sampling At Silver Peak Area (Henkle, Et Al., 2005) | Open Energy

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  18. Soil Sampling At Valley Of Ten Thousand Smokes Region Area (Kodosky &

    Open Energy Info (EERE)

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  19. Soil Sampling At Valley Of Ten Thousand Smokes Region Area (Kodosky, 1989)

    Open Energy Info (EERE)

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  20. Soil Sampling At Waunita Hot Springs Geothermal Area (Ringrose & Pearl,

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page| Open Energy Information Serbia-Enhancing Capacity forSilicium deEnergy Information North| Open Energy1981) | Open