Sample records for radiochemical relative error

  1. Radiochemical Radiochemical Processing Laboratory

    E-Print Network [OSTI]

    in development, scale- up and deployment of first-of-a-kind processes to solve environmental problems in the fundamental chemistry of 4 RPL: RadiochemicalProcessingLaboratory Researchers design, build and operate small-scale-liquid suspensions. Developing Radiochemical Processes at All Scales Among the key features of the RPL are extensive

  2. Radiochemical Radiochemical Processing Laboratory

    E-Print Network [OSTI]

    -cycle applications. These proficiencies include extensive experience with U.S. Department of Energy tank waste.S. Department of Energy Hanford Site in south-central Washington State, the Radiochemical Processing Laboratory) thermogravimetric and calorimetric analysis microscopy (visible light, SEM, TEM, AFM) gas and thermal ionization

  3. Integrating human related errors with technical errors to determine causes behind offshore accidents

    E-Print Network [OSTI]

    Aamodt, Agnar

    Integrating human related errors with technical errors to determine causes behind offshore of offshore accidents there is a continuous focus on safety improvements. An improved evaluation method concepts in the model are structured in hierarchical categories, based on well-established knowledge

  4. Quantum root-mean-square error and measurement uncertainty relations

    E-Print Network [OSTI]

    Paul Busch; Pekka Lahti; Reinhard F Werner

    2014-10-10T23:59:59.000Z

    Recent years have witnessed a controversy over Heisenberg's famous error-disturbance relation. Here we resolve the conflict by way of an analysis of the possible conceptualizations of measurement error and disturbance in quantum mechanics. We discuss two approaches to adapting the classic notion of root-mean-square error to quantum measurements. One is based on the concept of noise operator; its natural operational content is that of a mean deviation of the values of two observables measured jointly, and thus its applicability is limited to cases where such joint measurements are available. The second error measure quantifies the differences between two probability distributions obtained in separate runs of measurements and is of unrestricted applicability. We show that there are no nontrivial unconditional joint-measurement bounds for {\\em state-dependent} errors in the conceptual framework discussed here, while Heisenberg-type measurement uncertainty relations for {\\em state-independent} errors have been proven.

  5. Universally Valid Error-Disturbance Relations in Continuous Measurements

    E-Print Network [OSTI]

    Atsushi Nishizawa; Yanbei Chen

    2015-05-31T23:59:59.000Z

    In quantum physics, measurement error and disturbance were first naively thought to be simply constrained by the Heisenberg uncertainty relation. Later, more rigorous analysis showed that the error and disturbance satisfy more subtle inequalities. Several versions of universally valid error-disturbance relations (EDR) have already been obtained and experimentally verified in the regimes where naive applications of the Heisenberg uncertainty relation failed. However, these EDRs were formulated for discrete measurements. In this paper, we consider continuous measurement processes and obtain new EDR inequalities in the Fourier space: in terms of the power spectra of the system and probe variables. By applying our EDRs to a linear optomechanical system, we confirm that a tradeoff relation between error and disturbance leads to the existence of an optimal strength of the disturbance in a joint measurement. Interestingly, even with this optimal case, the inequality of the new EDR is not saturated because of doublely existing standard quantum limits in the inequality.

  6. Radiochemical solar neutrino experiments

    E-Print Network [OSTI]

    V. N. Gavrin; B. T. Cleveland

    2007-03-06T23:59:59.000Z

    Radiochemical experiments have been crucial to solar neutrino research. Even today, they provide the only direct measurement of the rate of the proton-proton fusion reaction, p + p --> d + e^+ + nu_e, which generates most of the Sun's energy. We first give a little history of radiochemical solar neutrino experiments with emphasis on the gallium experiment SAGE -- the only currently operating detector of this type. The combined result of all data from the Ga experiments is a capture rate of 67.6 +/- 3.7 SNU. For comparison to theory, we use the calculated flux at the Sun from a standard solar model, take into account neutrino propagation from the Sun to the Earth and the results of neutrino source experiments with Ga, and obtain 67.3 ^{+3.9}_{-3.5} SNU. Using the data from all solar neutrino experiments we calculate an electron neutrino pp flux at the earth of (3.41 ^{+0.76}_{-0.77}) x 10^{10}/(cm^2-s), which agrees well with the prediction from a detailed solar model of (3.30 ^{+0.13} _{-0.14}) x 10^{10}/(cm^2-s). Four tests of the Ga experiments have been carried out with very intense reactor-produced neutrino sources and the ratio of observed to calculated rates is 0.88 +/- 0.05. One explanation for this unexpectedly low result is that the cross section for neutrino capture by the two lowest-lying excited states in 71Ge has been overestimated. We end with consideration of possible time variation in the Ga experiments and an enumeration of other possible radiochemical experiments that might have been.

  7. Statistical evaluation of design-error related accidents

    SciTech Connect (OSTI)

    Ott, K.O.; Marchaterre, J.F.

    1980-01-01T23:59:59.000Z

    In a recently published paper (Campbell and Ott, 1979), a general methodology was proposed for the statistical evaluation of design-error related accidents. The evaluation aims at an estimate of the combined residual frequency of yet unknown types of accidents lurking in a certain technological system. Here, the original methodology is extended, as to apply to a variety of systems that evolves during the development of large-scale technologies. A special categorization of incidents and accidents is introduced to define the events that should be jointly analyzed. The resulting formalism is applied to the development of the nuclear power reactor technology, considering serious accidents that involve in the accident-progression a particular design inadequacy.

  8. MONITORING AND CONTROL OF UREX RADIOCHEMICAL PROCESSES

    SciTech Connect (OSTI)

    Bryan, Samuel A.; Levitskaia, Tatiana G.

    2007-07-01T23:59:59.000Z

    There is urgent need for methods to provide on-line monitoring and control of the radiochemical processes that are currently being developed and demonstrated under the Global Nuclear Energy Partnership (GNEP) initiative. The methods used to monitor these processes must be robust (require little or no maintenance) and must be able to withstand harsh environments (e.g., high radiation fields and aggressive chemical matrices). The ability for continuous online monitoring allows the following benefits: • Accountability of the fissile materials; • Control of the process flowsheet; • Information on flow parameters, solution composition, and chemical speciation; • Enhanced performance by eliminating the need for traditional analytical “grab samples”; • Improvement of operational and criticality safety; • Elimination of human error. The objective of our project is to use a system of flow, chemical composition, and physical property measurement techniques for developing on-line real-time monitoring systems for the UREX process streams. We will use our past experience in adapting and deploying Raman spectrometer combined with Coriolis meters and conductivity probes in developing a deployable prototype monitor for the UREX radiochemical streams. This system will be augmented with UV-vis-NIR spectrophotomter. Flow, temperature, density, and chemical composition and concentration measurements will be combined for real-time data analysis during processing. Currently emphasis of our research is placed on evaluation of the commercial instrumentation for the UREX flowsheet.

  9. Radiochemical Sensor for Continuous and Remote Liquid Effluents Monitoring

    SciTech Connect (OSTI)

    Tarancon, A.; Garcia, J.F.; Rauret, G. [Departament de Quimica Analitica. Facultat de Quimica. Universitat de Barcelona (Spain); Padro, A. [Serveis Cientifico-Tecnics. Universitat de Barcelona. Sole Sabaris Barcelona (Spain)

    2008-07-01T23:59:59.000Z

    On-line radioactivity monitoring in liquid effluents is an increasing need according to the international regulations at present. Classical activity determination procedures include the sequence of sampling, chemical treatment, measurement and data treatment. These steps are man-power consuming, generate a great amount of waste and introduce an important delay between the potential pollution event and its detection and quantification. To overcome these limitations, we have developed a radiochemical sensor for liquid effluents capable of sending information about the specific activity and volume of a contamination episode to a remote position, on line and continuously. The capabilities of the sensor developed here allow detecting and quantifying contamination pulses of alpha, beta and gamma emitters of different volumes and activity levels included in a continuous stream. Sensor receptor includes two detection systems, one addressed to determine alpha, beta and gamma events and the other to detect sample gamma emissions. Detailed sensor structure will be shown at the conference because patent is in process at this moment. Detection efficiencies (%) obtained in the alpha-beta-gamma system for the range of contamination volumes considered (2- 300 ml) are: 1.6 - 3.2%, for Pu-240; 22.2 - 58.4%, for Sr-90/Y-90 and 8.8 -17.7%, for Cs-134. In the gamma system, values for Cs-134 detection range from 0.6% to 1.3%. Prediction errors obtained show that sensor is capable to detect Sr-90/Y-90 contamination pulses of at least 2 ml and 3 Bq/ml with a relative error lower of 10% in activity and 60% in volume. When contamination pulse increases up to 7 ml, relative errors decrease to 5% for both magnitudes. For Pu-240 and Cs-134, when contamination pulses are of at least 7 ml and 300 Bq/ml, the relative errors obtained in determinations performed in the alpha-beta-gamma system are lower than 10% in activity and 20 % in volume. The same errors are obtained in the gamma system for Cs-134 when contamination pulses are higher than 7 ml and activities up to 1300 Bq/ml. (authors)

  10. Radiochemical Analysis Methodology for uranium Depletion Measurements

    SciTech Connect (OSTI)

    Scatena-Wachel DE

    2007-01-09T23:59:59.000Z

    This report provides sufficient material for a test sponsor with little or no radiochemistry background to understand and follow physics irradiation test program execution. Most irradiation test programs employ similar techniques and the general details provided here can be applied to the analysis of other irradiated sample types. Aspects of program management directly affecting analysis quality are also provided. This report is not an in-depth treatise on the vast field of radiochemical analysis techniques and related topics such as quality control. Instrumental technology is a very fast growing field and dramatic improvements are made each year, thus the instrumentation described in this report is no longer cutting edge technology. Much of the background material is still applicable and useful for the analysis of older experiments and also for subcontractors who still retain the older instrumentation.

  11. SYSTEMATIC CONTINUUM ERRORS IN THE Ly{alpha} FOREST AND THE MEASURED TEMPERATURE-DENSITY RELATION

    SciTech Connect (OSTI)

    Lee, Khee-Gan, E-mail: lee@astro.princeton.edu [Department of Astrophysical Sciences, Princeton University, Princeton, NJ 08544 (United States)

    2012-07-10T23:59:59.000Z

    Continuum fitting uncertainties are a major source of error in estimates of the temperature-density relation (usually parameterized as a power-law, T {proportional_to} {Delta}{sup {gamma}-1}) of the intergalactic medium through the flux probability distribution function (PDF) of the Ly{alpha} forest. Using a simple order-of-magnitude calculation, we show that few percent-level systematic errors in the placement of the quasar continuum due to, e.g., a uniform low-absorption Gunn-Peterson component could lead to errors in {gamma} of the order of unity. This is quantified further using a simple semi-analytic model of the Ly{alpha} forest flux PDF. We find that under(over)estimates in the continuum level can lead to a lower (higher) measured value of {gamma}. By fitting models to mock data realizations generated with current observational errors, we find that continuum errors can cause a systematic bias in the estimated temperature-density relation of ({delta}({gamma})) Almost-Equal-To -0.1, while the error is increased to {sigma}{sub {gamma}} Almost-Equal-To 0.2 compared to {sigma}{sub {gamma}} Almost-Equal-To 0.1 in the absence of continuum errors.

  12. USACE FUSRAP Maywood Team Identifies Challenges and Initiates Alternate Solutions Relating to the Radiochemical Analysis of Borosilicate Fiber Filters for Isotopes of Uranium and Thorium

    SciTech Connect (OSTI)

    Tucker, B. [Shaw Environmental and Infrastructure, Salem, NH (United States); Winters, M. [Shaw Environmental and Infrastructure, Maywood, NJ (United States); Hays, D. [Unites States Army Corps of Engineers, Maywood, NJ (United States)

    2008-07-01T23:59:59.000Z

    This presentation discusses the primary purposes of particulate radionuclide air monitoring at the US Army Corps of Engineers (USACE) Formerly Utilized Sites Remediation Program (FUSRAP) Maywood Superfund Site (FMSS), the challenges encountered by the team when standard radiochemistry analytical methods are attempted on borosilicate fiber filter samples, the surrogate evaluations used when sample specific isotopic analysis is unsuccessful, and current strategies for overcoming radiochemistry method deficiencies. Typical borosilicate fiber filter sample preparation procedures including tracer spike and digestion methods and their impact on uranium and thorium data quality are of particular interest. Analytes discussed include isotopic uranium (U-234, U-235, and U-238) and isotopic thorium (Th-228, Th-230, and Th-232). Efforts to obtain reproducible and defensible results also included discussions with commercial laboratory radiochemistry managers as well as industry experts. This presentation may benefit sites that use similar sample collection and analysis techniques, utilize data that may have unidentified method-related issues with diminished data quality, or have a similar isotopic signature. (authors)

  13. Operationally-Motivated Uncertainty Relations for Joint Measurability and the Error-Disturbance Tradeoff

    E-Print Network [OSTI]

    Joseph M. Renes; Volkher B. Scholz

    2014-02-26T23:59:59.000Z

    We derive new Heisenberg-type uncertainty relations for both joint measurability and the error-disturbance tradeoff for arbitrary observables of finite-dimensional systems. The relations are formulated in terms of a directly operational quantity, namely the probability of distinguishing the actual operation of a device from its hypothetical ideal, by any possible testing procedure whatsoever. Moreover, they may be directly applied in information processing settings, for example to infer that devices which can faithfully transmit information regarding one observable do not leak any information about conjugate observables to the environment. Though intuitively apparent from Heisenberg's original arguments, only more limited versions of this statement have previously been formalized.

  14. RSE Table 3.1 Relative Standard Errors for Table 3.1

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

    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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site.1 Relative Standard Errors for Table 1.1;" "1 Relative

  15. RSE Table 3.2 Relative Standard Errors for Table 3.2

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

    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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site.1 Relative Standard Errors for Table 1.1;" "1 Relative2

  16. RSE Table 3.5 Relative Standard Errors for Table 3.5

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

    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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site.1 Relative Standard Errors for Table 1.1;" "1 Relative25

  17. RSE Table 4.2 Relative Standard Errors for Table 4.2

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

    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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site.1 Relative Standard Errors for Table 1.1;" "12 Relative

  18. RSE Table 5.1 Relative Standard Errors for Table 5.1

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

    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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site.1 Relative Standard Errors for Table 1.1;" "12 Relative1

  19. RSE Table 5.4 Relative Standard Errors for Table 5.4

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

    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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site.1 Relative Standard Errors for Table 1.1;" "124 Relative

  20. RSE Table 8.2 Relative Standard Errors for Table 8.2

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

    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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site.1 Relative Standard Errors for Table 1.1;"2 Relative Standard

  1. RSE Table 1.1 Relative Standard Errors for Table 1.1

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

    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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site.1 Relative Standard Errors for Table 1.1;" " Unit:

  2. RSE Table 1.2 Relative Standard Errors for Table 1.2

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

    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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site.1 Relative Standard Errors for Table 1.1;" " Unit:2

  3. RSE Table 10.10 Relative Standard Errors for Table 10.10

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

    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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site.1 Relative Standard Errors for Table 1.1;" " Unit:20

  4. RSE Table 10.11 Relative Standard Errors for Table 10.11

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

    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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site.1 Relative Standard Errors for Table 1.1;" " Unit:201

  5. RSE Table 10.12 Relative Standard Errors for Table 10.12

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

    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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site.1 Relative Standard Errors for Table 1.1;" " Unit:2012

  6. RSE Table 10.13 Relative Standard Errors for Table 10.13

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

    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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site.1 Relative Standard Errors for Table 1.1;" " Unit:20123

  7. RSE Table 2.1 Relative Standard Errors for Table 2.1

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

    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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site.1 Relative Standard Errors for Table 1.1;" "

  8. RSE Table 4.1 Relative Standard Errors for Table 4.1

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

    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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site.1 Relative Standard Errors for Table 1.1;" "1

  9. RSE Table 5.2 Relative Standard Errors for Table 5.2

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

    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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site.1 Relative Standard Errors for Table 1.1;" "12

  10. RSE Table 5.5 Relative Standard Errors for Table 5.5

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

    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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site.1 Relative Standard Errors for Table 1.1;" "124

  11. RSE Table 5.6 Relative Standard Errors for Table 5.6

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

    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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site.1 Relative Standard Errors for Table 1.1;" "1246

  12. RSE Table 5.7 Relative Standard Errors for Table 5.7

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

    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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site.1 Relative Standard Errors for Table 1.1;" "12467

  13. RSE Table 5.8 Relative Standard Errors for Table 5.8

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

    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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site.1 Relative Standard Errors for Table 1.1;" "124678

  14. RSE Table 7.10 Relative Standard Errors for Table 7.10

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

    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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site.1 Relative Standard Errors for Table 1.1;" "1246780

  15. RSE Table 7.3 Relative Standard Errors for Table 7.3

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

    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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site.1 Relative Standard Errors for Table 1.1;" "12467803

  16. RSE Table 7.4 Relative Standard Errors for Table 7.4

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

    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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site.1 Relative Standard Errors for Table 1.1;" "124678034

  17. RSE Table 7.5 Relative Standard Errors for Table 7.5

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

    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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site.1 Relative Standard Errors for Table 1.1;" "1246780345

  18. RSE Table 7.6 Relative Standard Errors for Table 7.6

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

    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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site.1 Relative Standard Errors for Table 1.1;" "12467803456

  19. RSE Table 7.7 Relative Standard Errors for Table 7.7

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

    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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site.1 Relative Standard Errors for Table 1.1;" "124678034567

  20. RSE Table 7.9 Relative Standard Errors for Table 7.9

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

    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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site.1 Relative Standard Errors for Table 1.1;"

  1. Radiochemical Separation & Processing | ornl.gov

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's PossibleRadiation Protection Radiation Protection Regulations: TheCompetition »Radiochemical

  2. alternative radiochemical heavy: Topics by E-print Network

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

    mass spectrometric, spectrochemical, nuclear, and radiochemical analysis of nuclear-grade uranyl nitrate solution to determine compliance with specifications. 1.2 The analytical...

  3. aecl radiochemical slowpoke reactor: Topics by E-print Network

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

    medicine, in the nondestructive control of fissionable materials, diagnostics of thermonuclear plasma, monit... Lebedev, S G 2005-01-01 16 Gaseous Radiochemical Method for...

  4. Radiochemical Engineering Development Center (REDC) | ORNL

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of Science (SC)IntegratedSpeedingTechnicalPurchase, Delivery, andSmartRadiationRadiationRadiochemical

  5. OPERATIONAL EXPERIENCE: UPGRADED MPC AND A SYSTEMS FOR THE RADIOCHEMICAL PLANT OF THE SIBERIAN CHEMICAL COMBINE

    SciTech Connect (OSTI)

    RODRIGUEZ,C.GOLOSKOKOV,I.FISHBONE,L.GOODEY,K.LOOMIS,M.CRAIN,B.JR.LARSEN,R.

    2003-07-18T23:59:59.000Z

    The success of reducing the risk of nuclear proliferation through physical protection and material control/accounting systems depends upon the development of an effective design that includes consideration of the objectives of the systems and the resources available to implement the design. Included among the objectives of the design are facility characterization, definition of threat, and identification of targets. When considering resources, the designer must consider funds available, rapid low-cost elements, technology elements, human resources, and the availability of resources to sustain operation of the end system. The Siberian Chemical Combine (SCC) is a multi-function nuclear facility located in the Tomsk region of Siberia, Russia. Beginning in 1996, SCC joined with the United States Department of Energy (US/DOE) Material Protection, Control, and Accounting (MPC&A) Program to develop and implement MPC&A upgrades for the Radiochemical, Chemical Metallurgical, Conversion, Uranium Enrichment, and Reactor Plants of the SCC. At the Radiochemical Plant the MPC&A design and implementation process has been largely completed for the Plutonium Storage Facility and related areas of the Radiochemical Plant. Design and implementation of upgrades for the Radiochemical Plant include rapid physical protection upgrades such as bricking up of doors and windows, and installation of security-hardened doors. Rapid material control and accounting upgrades include installation of modern balances and bar code equipment. Comprehensive MPC&A upgrades include the installation of access controls to sensitive areas of the Plant, alarm communication and display (AC&D) systems to detect and annunciate alarm conditions, closed circuit (CCTV) systems to assess alarm conditions, central and secondary alarm station upgrades that enable security forces to assess and respond to alarm conditions, material control and accounting upgrades that include upgraded physical inventory procedures, and destructive and nondestructive assay equipment to perform neutron and gamma measurements on nuclear materials in process or storage. These MPC&A upgrades have been in operation at the SCC Radiochemical Plant for between 2 and 3 years. The operational experience gained by SCC during this period is currently being evaluated by SCC and ''lessons learned'' will be considered both for continued operation of the Radiochemical Plant MPC&A systems and similar MPC&A systems that are currently being planned for other Plant Sites of the SCC.

  6. "RSE Table E13.1. Relative Standard Errors for Table E13.1;"

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

    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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. AppliancesTotal" "(Data1. Relative Standard Errors

  7. Dynamic Prediction of Concurrency Errors

    E-Print Network [OSTI]

    Sadowski, Caitlin

    2012-01-01T23:59:59.000Z

    Relation 15 Must-Before Race Prediction 16 Implementation 17viii Abstract Dynamic Prediction of Concurrency Errors bySANTA CRUZ DYNAMIC PREDICTION OF CONCURRENCY ERRORS A

  8. Field error lottery

    SciTech Connect (OSTI)

    Elliott, C.J.; McVey, B. (Los Alamos National Lab., NM (USA)); Quimby, D.C. (Spectra Technology, Inc., Bellevue, WA (USA))

    1990-01-01T23:59:59.000Z

    The level of field errors in an FEL is an important determinant of its performance. We have computed 3D performance of a large laser subsystem subjected to field errors of various types. These calculations have been guided by simple models such as SWOOP. The technique of choice is utilization of the FELEX free electron laser code that now possesses extensive engineering capabilities. Modeling includes the ability to establish tolerances of various types: fast and slow scale field bowing, field error level, beam position monitor error level, gap errors, defocusing errors, energy slew, displacement and pointing errors. Many effects of these errors on relative gain and relative power extraction are displayed and are the essential elements of determining an error budget. The random errors also depend on the particular random number seed used in the calculation. The simultaneous display of the performance versus error level of cases with multiple seeds illustrates the variations attributable to stochasticity of this model. All these errors are evaluated numerically for comprehensive engineering of the system. In particular, gap errors are found to place requirements beyond mechanical tolerances of {plus minus}25{mu}m, and amelioration of these may occur by a procedure utilizing direct measurement of the magnetic fields at assembly time. 4 refs., 12 figs.

  9. atom-at-a-time radiochemical separations: Topics by E-print Network

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

    spectrochemical, nuclear, and radiochemical analysis of nuclear-grade uranyl nitrate solution to determine compliance with specifications. 1.2 The analytical...

  10. Guiding Principles for Sustainable Existing Buildings: Radiochemical Processing Laboratory

    SciTech Connect (OSTI)

    Pope, Jason E.

    2013-11-11T23:59:59.000Z

    In 2006, the United States (U.S.) Department of Energy (DOE) signed the Federal Leadership in High Performance and Sustainable Buildings Memorandum of Understanding (MOU), along with 21 other agencies. Pacific Northwest National Laboratory (PNNL) is exceeding this requirement and, currently, about 25 percent of its buildings are High Performance and Sustainable Buildings. The pages that follow document the Guiding Principles conformance effort for the Radiochemical Processing Laboratory (RPL) at PNNL. The RPL effort is part of continued progress toward a building inventory that is 100 percent compliant with the Guiding Principles.

  11. Relating Doubly-Even Error-Correcting Codes, Graphs, and Irreducible Representations of N-Extended Supersymmetry

    E-Print Network [OSTI]

    C. F. Doran; M. G. Faux; S. J. Gates Jr; T. Hubsch; K. M. Iga; G. D. Landweber

    2008-05-31T23:59:59.000Z

    Previous work has shown that the classification of indecomposable off-shell representations of N-supersymmetry, depicted as Adinkras, may be factored into specifying the topologies available to Adinkras, and then the height-assignments for each topological type. The latter problem being solved by a recursive mechanism that generates all height-assignments within a topology, it remains to classify the former. Herein we show that this problem is equivalent to classifying certain (1) graphs and (2) error-correcting codes.

  12. Handling of Ammonium Nitrate Mother-Liquid Radiochemical Production - 13089

    SciTech Connect (OSTI)

    Zherebtsov, Alexander; Dvoeglazov, Konstantine; Volk, Vladimir; Zagumenov, Vladimir; Zverev, Dmitriy [JSC VNIINM, 123060, Moscow, Rogova st., 5a (Russian Federation)] [JSC VNIINM, 123060, Moscow, Rogova st., 5a (Russian Federation); Tinin, Vasiliy; Kozyrev, Anatoly; Shamin, Dladimir; Tvilenev, Konstantin [JSC SCC, 636039,Tomsk oblast, Seversk, Kurchatova street 1 (Russian Federation)] [JSC SCC, 636039,Tomsk oblast, Seversk, Kurchatova street 1 (Russian Federation)

    2013-07-01T23:59:59.000Z

    The aim of the work is to develop a basic technology of decomposition of ammonium nitrate stock solutions produced in radiochemical enterprises engaged in the reprocessing of irradiated nuclear fuel and fabrication of fresh fuel. It was necessary to work out how to conduct a one-step thermal decomposition of ammonium nitrate, select and test the catalysts for this process and to prepare proposals for recycling condensation. Necessary accessories were added to a laboratory equipment installation decomposition of ammonium nitrate. It is tested several types of reducing agents and two types of catalyst to neutralize the nitrogen oxides. It is conducted testing of modes of the process to produce condensation, suitable for use in the conversion of a new technological scheme of production. It is studied the structure of the catalysts before and after their use in a laboratory setting. It is tested the selected catalyst in the optimal range for 48 hours of continuous operation. (authors)

  13. Fissile material storage in the Oak Ridge Radiochemical Development Facility

    SciTech Connect (OSTI)

    Primm, R.T. III

    1993-08-01T23:59:59.000Z

    As a part of a Department of Energy review of Oak Ridge National Laboratory facilities, nuclear safety documentation for the Radiochemical Development Facility (Building 3019) was found to be inadequate. While calculations existed which established safe limits for the storage of fissile material, these calculations were not performed with verified/validated software nor were the results reported in the manner prescribed by applicable DOE orders and ORNL procedures. To address this deficiency, the operations conducted in Building 3019 were reviewed and conditions were compared to available critical experiment data. Applicable critical experiments were selected and multiplication factors were calculated. Subcritical limits were derived for each of three fissile materials (U-233, U-235, and Pu-239). One application of these limits was to certify the safety of a storage array which could contain any or all of the above nuclides at varying degrees of moderation. The studies presented are believed to fulfill most of the applicable regulatory requirements.

  14. RSE Table E6.1 and E6.2. Relative Standard Errors for Tables E6.1 and E6.2

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

    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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site.1 Relative Standard Errors for Table 1.1;"2 Relative

  15. RSE Table E8.1 and E8.2. Relative Standard Errors for Tables E8.1 and E8.2

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

    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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site.1 Relative Standard Errors for Table 1.1;"2 RelativeE8.1 and

  16. RSE Table N1.1 and N1.2. Relative Standard Errors for Tables N1.1 and N1.2

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

    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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site.1 Relative Standard Errors for Table 1.1;"2 RelativeE8.1 and1

  17. RSE Table N2.1 and N2.2. Relative Standard Errors for Tables N2.1 and N2.2

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

    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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site.1 Relative Standard Errors for Table 1.1;"2 RelativeE8.1

  18. RSE Table N3.1 and N3.2. Relative Standard Errors for Tables N3.1 and N3.2

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

    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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site.1 Relative Standard Errors for Table 1.1;"2 RelativeE8.1N3.1

  19. RSE Table N4.1 and N4.2. Relative Standard Errors for Tables N4.1 and N4.2

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

    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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site.1 Relative Standard Errors for Table 1.1;"2

  20. RSE Table N6.1 and N6.2. Relative Standard Errors for Tables N6.1 and N6.2

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

    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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site.1 Relative Standard Errors for Table 1.1;"21 and N6.2.

  1. RSE Table N6.3 and N6.4. Relative Standard Errors for Tables N6.3 and N6.4

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

    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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site.1 Relative Standard Errors for Table 1.1;"21 and N6.2.3 and

  2. RSE Table N8.1 and N8.2. Relative Standard Errors for Tables N8.1 and N8.2

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

    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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site.1 Relative Standard Errors for Table 1.1;"21 and N6.2.3 and1

  3. RSE Table S1.1 and S1.2. Relative Standard Errors for Tables S1.1 and S1.2

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

    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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site.1 Relative Standard Errors for Table 1.1;"21 and N6.2.3

  4. RSE Table S2.1 and S2.2. Relative Standard Errors for Tables S2.1 and S2.2

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

    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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site.1 Relative Standard Errors for Table 1.1;"21 and N6.2.3S2.1

  5. RSE Table S3.1 and S3.2. Relative Standard Errors for Tables S3.1 and S3.2

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

    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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site.1 Relative Standard Errors for Table 1.1;"21 and

  6. "RSE Table E7.2. Relative Standard Errors for Table E7.2;"

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

    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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. AppliancesTotal" "(Data1. Relative2. Relative

  7. "RSE Table N1.3. Relative Standard Errors for Table N1.3;"

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

    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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. AppliancesTotal" "(Data1. Relative2. Relative.3.

  8. "RSE Table N11.1. Relative Standard Errors for Table N11.1;"

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

    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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. AppliancesTotal" "(Data1. Relative2. Relative.3.1.

  9. "RSE Table N11.3. Relative Standard Errors for Table N11.3;"

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

    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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. AppliancesTotal" "(Data1. Relative2.3. Relative

  10. "RSE Table N11.4. Relative Standard Errors for Table N11.4;"

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

    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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. AppliancesTotal" "(Data1. Relative2.3. Relative4.

  11. "RSE Table N13.3. Relative Standard Errors for Table N13.3;"

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

    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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. AppliancesTotal" "(Data1. Relative2.3.3. Relative

  12. "RSE Table C10.3. Relative Standard Errors for Table C10.3;"

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

    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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. AppliancesTotal" "(Data from03.4B3. Relative

  13. "RSE Table C11.3. Relative Standard Errors for Table C11.3;"

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

    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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. AppliancesTotal" "(Data from03.4B3. Relative1.3.

  14. "RSE Table C2.1. Relative Standard Errors for Table C2.1;"

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

    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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. AppliancesTotal" "(Data from03.4B3.C2.1. Relative

  15. "RSE Table E13.2. Relative Standard Errors for Table E13.2;"

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

    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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. AppliancesTotal" "(Data1. Relative Standard

  16. "RSE Table E13.3. Relative Standard Errors for Table E13.3;"

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

    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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. AppliancesTotal" "(Data1. Relative Standard3.

  17. "RSE Table E2.1. Relative Standard Errors for Table E2.1;"

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

    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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. AppliancesTotal" "(Data1. Relative Standard3.E2.1.

  18. "RSE Table E7.1. Relative Standard Errors for Table E7.1;"

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

    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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. AppliancesTotal" "(Data1. Relative

  19. "RSE Table N11.2. Relative Standard Errors for Table N11.2;"

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

    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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. AppliancesTotal" "(Data1. Relative2.

  20. "RSE Table N13.1. Relative Standard Errors for Table N13.1;"

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

    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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. AppliancesTotal" "(Data1. Relative2.3.

  1. "RSE Table N5.1. Relative Standard Errors for Table N5.1;"

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

    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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. AppliancesTotal" "(Data1. Relative2.3.3.

  2. "RSE Table N5.2. Relative Standard Errors for Table N5.2;"

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

    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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. AppliancesTotal" "(Data1. Relative2.3.3.2.

  3. "RSE Table N7.1. Relative Standard Errors for Table N7.1;"

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

    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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. AppliancesTotal" "(Data1. Relative2.3.3.2.N7.1.

  4. "RSE Table N8.3. Relative Standard Errors for Table N8.3;"

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

    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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. AppliancesTotal" "(Data1. Relative2.3.3.2.N7.1.3.

  5. 98 RADIATION SAFETY MANUAL (REVISED MARCH 2010) WORKSHEET FOR RADIOCHEMICAL PROTOCOLS

    E-Print Network [OSTI]

    of the worksheet is to identify hazardous or regulated chemicals, operations, and waste streams that might pose WASTE GENERATION None Mark on an attachment, all reagents that are not on the "Non hazardous Waste ListFORMS 98 RADIATION SAFETY MANUAL (REVISED MARCH 2010) WORKSHEET FOR RADIOCHEMICAL PROTOCOLS

  6. Literature search, review, and compilation of data for chemical and radiochemical sensors: Task 1 report

    SciTech Connect (OSTI)

    NONE

    1993-01-01T23:59:59.000Z

    During the next several decades, the US Department of Energy is expected to spend tens of billions of dollars in the characterization, cleanup, and monitoring of DOE`s current and former installations that have various degrees of soil and groundwater contamination made up of both hazardous and mixed wastes. Each of these phases will require site surveys to determine type and quantity of hazardous and mixed wastes. It is generally recognized that these required survey and monitoring efforts cannot be performed using traditional chemistry methods based on laboratory evaluation of samples from the field. For that reason, a tremendous push during the past decade or so has been made on research and development of sensors. This report contains the results of an extensive literature search on sensors that are used or have applicability in environmental and waste management. While restricting the search to a relatively small part of the total chemistry spectrum, a sizable body of reference material is included. Results are presented in tabular form for general references obtained from data base searches, as narrative reviews of relevant chapters from proceedings, as book reviews, and as reviews of journal articles with particular relevance to the review. Four broad sensor types are covered: electrochemical processes, piezoelectric devices, fiber optics, and radiochemical processes. The topics of surface chemistry processes and biosensors are not treated separately because they often are an adjunct to one of the four sensors listed. About 1,000 tabular entries are listed, including selected journal articles, reviews of conference/meeting proceedings, and books. Literature to about mid-1992 is covered.

  7. Standard test methods for chemical, mass spectrometric, spectrochemical, nuclear, and radiochemical analysis of nuclear-grade plutonium metal

    E-Print Network [OSTI]

    American Society for Testing and Materials. Philadelphia

    2004-01-01T23:59:59.000Z

    1.1 These test methods cover procedures for the chemical, mass spectrometric, spectrochemical, nuclear, and radiochemical analysis of nuclear-grade plutonium metal to determine compliance with specifications.

  8. Statistical analysis of radiochemical measurements of TRU radionuclides in REDC waste

    SciTech Connect (OSTI)

    Beauchamp, J.; Downing, D.; Chapman, J.; Fedorov, V.; Nguyen, L.; Parks, C.; Schultz, F.; Yong, L.

    1996-10-01T23:59:59.000Z

    This report summarizes results of the study on the isotopic ratios of transuranium elements in waste from the Radiochemical Engineering Development Center actinide-processing streams. The knowledge of the isotopic ratios when combined with results of nondestructive assays, in particular with results of Active-Passive Neutron Examination Assay and Gamma Active Segmented Passive Assay, may lead to significant increase in precision of the determination of TRU elements contained in ORNL generated waste streams.

  9. Static Detection of Disassembly Errors

    SciTech Connect (OSTI)

    Krishnamoorthy, Nithya; Debray, Saumya; Fligg, Alan K.

    2009-10-13T23:59:59.000Z

    Static disassembly is a crucial ?rst step in reverse engineering executable ?les, and there is a consider- able body of work in reverse-engineering of binaries, as well as areas such as semantics-based security anal- ysis, that assumes that the input executable has been correctly disassembled. However, disassembly errors, e.g., arising from binary obfuscations, can render this assumption invalid. This work describes a machine- learning-based approach, using decision trees, for stat- ically identifying possible errors in a static disassem- bly; such potential errors may then be examined more closely, e.g., using dynamic analyses. Experimental re- sults using a variety of input executables indicate that our approach performs well, correctly identifying most disassembly errors with relatively few false positives.

  10. Conceptual Design for the Pilot-Scale Plutonium Oxide Processing Unit in the Radiochemical Processing Laboratory

    SciTech Connect (OSTI)

    Lumetta, Gregg J.; Meier, David E.; Tingey, Joel M.; Casella, Amanda J.; Delegard, Calvin H.; Edwards, Matthew K.; Jones, Susan A.; Rapko, Brian M.

    2014-08-05T23:59:59.000Z

    This report describes a conceptual design for a pilot-scale capability to produce plutonium oxide for use as exercise and reference materials, and for use in identifying and validating nuclear forensics signatures associated with plutonium production. This capability is referred to as the Pilot-scale Plutonium oxide Processing Unit (P3U), and it will be located in the Radiochemical Processing Laboratory at the Pacific Northwest National Laboratory. The key unit operations are described, including plutonium dioxide (PuO2) dissolution, purification of the Pu by ion exchange, precipitation, and conversion to oxide by calcination.

  11. Energy and Water Conservation Assessment of the Radiochemical Processing Laboratory (RPL) at Pacific Northwest National Laboratory

    SciTech Connect (OSTI)

    Johnson, Stephanie R.; Koehler, Theresa M.; Boyd, Brian K.

    2014-05-31T23:59:59.000Z

    This report summarizes the results of an energy and water conservation assessment of the Radiochemical Processing Laboratory (RPL) at Pacific Northwest National Laboratory (PNNL). The assessment was performed in October 2013 by engineers from the PNNL Building Performance Team with the support of the dedicated RPL staff and several Facilities and Operations (F&O) department engineers. The assessment was completed for the Facilities and Operations (F&O) department at PNNL in support of the requirements within Section 432 of the Energy Independence and Security Act (EISA) of 2007.

  12. Spectroscopic Online Monitoring for Process Control and Safeguarding of Radiochemical Fuel Reprocessing Streams - 13553

    SciTech Connect (OSTI)

    Bryan, S.A.; Levitskaia, T.G.; Casella, Amanda; Peterson, James [Pacific Northwest National Laboratory, 902 Battelle Boulevard, PO Box 999,MSIN: P7-25, Richland, WA, 99352 (United States)] [Pacific Northwest National Laboratory, 902 Battelle Boulevard, PO Box 999,MSIN: P7-25, Richland, WA, 99352 (United States)

    2013-07-01T23:59:59.000Z

    There is a renewed interest worldwide to promote the use of nuclear power and close the nuclear fuel cycle. The long term successful use of nuclear power is critically dependent upon adequate and safe processing and disposition of the used nuclear fuel. Liquid-liquid extraction is a separation technique commonly employed for the processing of the dissolved spent nuclear fuel. The instrumentation used to monitor these processes must be robust, require little or no maintenance, and be able to withstand harsh environments such as high radiation fields and aggressive chemical matrices. This paper discusses application of absorption and vibrational spectroscopic techniques supplemented by physicochemical measurements for radiochemical process monitoring. In this context, our team experimentally assessed the potential of Raman and spectrophotometric techniques for on-line real-time monitoring of the U(VI)/nitrate ion/nitric acid and Pu(IV)/Np(V)/Nd(III), respectively, in solutions relevant to spent fuel reprocessing. Both techniques demonstrated robust performance in the repetitive batch measurements of each analyte in a wide concentration range using simulant and commercial dissolved spent fuel solutions. Static spectroscopic measurements served as training sets for the multivariate data analysis to obtain partial least squares predictive models, which were validated using on-line centrifugal contactor extraction tests. Satisfactory prediction of the analytes concentrations in these preliminary experiments warrants further development of the spectroscopy-based methods for radiochemical safeguards and process control. (authors)

  13. Spectroscopic online monitoring for process control and safeguarding of radiochemical streams

    SciTech Connect (OSTI)

    Bryan, S.A.; Levitskaia, T.G. [Pacific Northwest National Laboratory, 902 Battelle Boulevard, PO Box 999, MSIN: P7-25, Richland, WA 99352 (United States)

    2013-07-01T23:59:59.000Z

    This paper summarizes application of the absorption and vibrational spectroscopic techniques supplemented by physicochemical measurements for radiochemical process monitoring. In this context, our team experimentally assessed the potential of Raman and spectrophotometric techniques for online real-time monitoring of the U(VI)/nitrate ion/nitric acid and Pu(IV)/Np(V)/Nd(III), respectively, in solutions relevant to spent fuel reprocessing. These techniques demonstrate robust performance in the repetitive batch measurements of each analyte in a wide concentration range using simulant and commercial dissolved spent fuel solutions. Spectroscopic measurements served as training sets for the multivariate data analysis to obtain partial least squares predictive models, which were validated using on-line centrifugal contactor extraction tests. Satisfactory prediction of the analytes concentrations in these preliminary experiments warrants further development of the spectroscopy-based methods for radiochemical process control and safeguarding. Additionally, the ability to identify material intentionally diverted from a liquid-liquid extraction contactor system was successfully tested using on-line process monitoring as a means to detect the amount of material diverted. (authors)

  14. Standard test methods for chemical, mass spectrometric, spectrochemical, nuclear, and radiochemical analysis of uranium hexafluoride

    E-Print Network [OSTI]

    American Society for Testing and Materials. Philadelphia

    2011-01-01T23:59:59.000Z

    1.1 These test methods cover procedures for subsampling and for chemical, mass spectrometric, spectrochemical, nuclear, and radiochemical analysis of uranium hexafluoride UF6. Most of these test methods are in routine use to determine conformance to UF6 specifications in the Enrichment and Conversion Facilities. 1.2 The analytical procedures in this document appear in the following order: Note 1—Subcommittee C26.05 will confer with C26.02 concerning the renumbered section in Test Methods C761 to determine how concerns with renumbering these sections, as analytical methods are replaced with stand-alone analytical methods, are best addressed in subsequent publications. Sections Subsampling of Uranium Hexafluoride 7 - 10 Gravimetric Determination of Uranium 11 - 19 Titrimetric Determination of Uranium 20 Preparation of High-Purity U3O 8 21 Isotopic Analysis 22 Isotopic Analysis by Double-Standard Mass-Spectrometer Method 23 - 29 Determination of Hydrocarbons, Chlorocarbons, and Partially Substitut...

  15. Solid debris collection for radiochemical diagnostics at the National Ignition Facility

    SciTech Connect (OSTI)

    Gostic, J. M.; Shaughnessy, D. A.; Moore, K. T.; Hutcheon, I. D.; Grant, P. M.; Moody, K. J. [Lawrence Livermore National Laboratory, 7000 East Ave, Livermore, California 94550 (United States)

    2012-10-15T23:59:59.000Z

    Radiochemical analysis of post-ignition debris inside the National Ignition Facility (NIF) target chamber can help determine various diagnostic parameters associated with the implosion efficiency of the fusion capsule. This technique is limited by the ability to distinguish ablator material from other debris and by the collection efficiency of the capsule debris after implosion. Prior to designing an on-line collection system, the chemical nature and distribution of the debris inside the chamber must be determined. The focus of our current work has been on evaluating capture of activated Au hohlraum debris on passive foils (5 cm diameter, 50 cm from target center) post-shot. Preliminary data suggest that debris distribution is locally heterogeneous along the equatorial and polar line-of-sights.

  16. ON-LINE MONITORING FOR CONTROL AND SAFEGUARDING OF RADIOCHEMICAL STREAMS AT SPENT FUEL REPROCESSING PLANT

    SciTech Connect (OSTI)

    Bryan, Samuel A.; Levitskaia, Tatiana G.; Lines, Amanda M.; Billing, Justin M.; Casella, Amanda J.; Johnsen, Amanda M.; Peterson, James M.; Thomas, Elizabeth M.

    2009-11-10T23:59:59.000Z

    Advanced techniques that enhance safeguarding of spent fuel reprocessing plants are urgently needed. Our approach is based on the prerequisite that real-time monitoring of solvent extraction flowsheets at a spent fuel reprocessing plant provides the unique capability to quickly detect unwanted manipulations with fissile isotopes present in the radiochemical streams during reprocessing activities. The methods used to monitor these processes must be robust and capable of withstanding harsh radiation and chemical environments. A new on-line monitoring system satisfying these requirements and featuring Raman spectroscopy combined with a Coriolis and conductivity probes recently has been developed by our research team for tank waste retrieval. It provides immediate chemical data and flow parameters of high-level radioactive waste streams with high brine content generated during retrieval activities from nuclear waste storage tanks at the Hanford Site. The nature of the radiochemical streams at the spent fuel reprocessing plant calls for additional spectroscopic information that can be gained by using Vis-NIR capabilities augmenting Raman spectroscopy. A fiber optic Raman probe allows monitoring of high concentration species encountered in both aqueous and organic phases within the UREX suite of flowsheets, including metal oxide ions, such as uranyl, components of the organic solvent, inorganic oxo-anions, and water. Actinides and lanthanides are monitored remotely by Vis-NIR spectroscopy in aqueous and organic phases. In this report, we present our results on spectroscopic measurements of simulant flowsheet solutions and commercial fuels designed to demonstrate the applicability of Raman and Vis-NIR spectroscopic analysis for actual dissolver feed solutions.

  17. Error detection method

    SciTech Connect (OSTI)

    Olson, Eric J.

    2013-06-11T23:59:59.000Z

    An apparatus, program product, and method that run an algorithm on a hardware based processor, generate a hardware error as a result of running the algorithm, generate an algorithm output for the algorithm, compare the algorithm output to another output for the algorithm, and detect the hardware error from the comparison. The algorithm is designed to cause the hardware based processor to heat to a degree that increases the likelihood of hardware errors to manifest, and the hardware error is observable in the algorithm output. As such, electronic components may be sufficiently heated and/or sufficiently stressed to create better conditions for generating hardware errors, and the output of the algorithm may be compared at the end of the run to detect a hardware error that occurred anywhere during the run that may otherwise not be detected by traditional methodologies (e.g., due to cooling, insufficient heat and/or stress, etc.).

  18. Thermodynamics of error correction

    E-Print Network [OSTI]

    Sartori, Pablo

    2015-01-01T23:59:59.000Z

    Information processing at the molecular scale is limited by thermal fluctuations. This can cause undesired consequences in copying information since thermal noise can lead to errors that can compromise the functionality of the copy. For example, a high error rate during DNA duplication can lead to cell death. Given the importance of accurate copying at the molecular scale, it is fundamental to understand its thermodynamic features. In this paper, we derive a universal expression for the copy error as a function of entropy production and dissipated work of the process. Its derivation is based on the second law of thermodynamics, hence its validity is independent of the details of the molecular machinery, be it any polymerase or artificial copying device. Using this expression, we find that information can be copied in three different regimes. In two of them, work is dissipated to either increase or decrease the error. In the third regime, the protocol extracts work while correcting errors, reminiscent of a Max...

  19. The Radiochemical Analysis of Gaseous Samples (RAGS) Apparatus for Nuclear Diagnostics at the National Ignition Facility

    SciTech Connect (OSTI)

    Shaughnessy, D A; Velsko, C A; Jedlovec, D R; Yeamans, C B; Moody, K J; Tereshatov, E; Stoeffl, W; Riddle, A

    2012-05-11T23:59:59.000Z

    The RAGS (Radiochemical Analysis of Gaseous Samples) diagnostic apparatus was recently installed at the National Ignition Facility. Following a NIF shot, RAGS is used to pump the gas load from the NIF chamber for purification and isolation of the noble gases. After collection, the activated gaseous species are counted via gamma spectroscopy for measurement of the capsule areal density and fuel-ablator mix. Collection efficiency was determined by injecting a known amount of {sup 135}Xe into the NIF chamber, which was then collected with RAGS. Commissioning was performed with an exploding pusher capsule filled with isotopically enriched {sup 124}Xe and {sup 126}Xe added to the DT gas fill. Activated xenon species were recovered post-shot and counted via gamma spectroscopy. Results from the collection and commissioning tests are presented. The performance of RAGS allows us to establish a noble gas collection method for measurement of noble gas species produced via neutron and charged particle reactions in a NIF capsule.

  20. Radium-223: From Radiochemical Development to Clinical Applications in Targeted Cancer Therapy

    SciTech Connect (OSTI)

    Bruland, Oyvind S.; Jonasdottir, Thora J.; Fisher, Darrell R.; Larsen, Roy H.

    2008-09-15T23:59:59.000Z

    The radiochemical properties of radium-223 (223Ra, T1/2 = 11.4 d) render this alpha-emitting radionuclide promising for targeted cancer therapy. Together with its short-lived daughters, each 223Ra decay produces four alpha-particle emissions—which enhance therapy effectiveness at the cellular level. In this paper, we review the recently published data reported for pre-clinical and clinical use of 223Ra in cancer treatment. We have evaluated two distinct chemical forms of 223Ra in vivo: 1) cationic 223Ra as dissolved RaCl2, and 2) liposome-encapsulated 223Ra. Cationic 223Ra seeks metabolically active osteoblastic bone and tumor lesions with high uptake and strong binding affinity based on its similarities to calcium. Based on these properties, we have advanced the clinical use of 223Ra for treating bone metastases from late-stage breast and prostate cancer. The results show impressive anti-tumor activity and improved overall survival in hormone-refractory prostate cancer patients with bone metastases. In other studies, we have evaluated the biodistribution and tumor uptake of liposomally encapsulated 223Ra in mice with human osteosarcoma xenografts, and in dogs with spontaneous osteosarcoma and associated soft tissue metastases. Results indicate excellent biodistributions in both species. In dogs, we found considerable uptake of liposomal 223Ra in cancer metastases in multiple organs, resulting in favorable tumor-to-normal soft tissue ratios. Collectively, these findings show an outstanding potential for 223Ra as a therapeutic agent.

  1. Message passing in fault tolerant quantum error correction

    E-Print Network [OSTI]

    Z. W. E. Evans; A. M. Stephens

    2008-06-13T23:59:59.000Z

    Inspired by Knill's scheme for message passing error detection, here we develop a scheme for message passing error correction for the nine-qubit Bacon-Shor code. We show that for two levels of concatenated error correction, where classical information obtained at the first level is used to help interpret the syndrome at the second level, our scheme will correct all cases with four physical errors. This results in a reduction of the logical failure rate relative to conventional error correction by a factor proportional to the reciprocal of the physical error rate.

  2. Quantum error control codes

    E-Print Network [OSTI]

    Abdelhamid Awad Aly Ahmed, Sala

    2008-10-10T23:59:59.000Z

    QUANTUM ERROR CONTROL CODES A Dissertation by SALAH ABDELHAMID AWAD ALY AHMED Submitted to the Office of Graduate Studies of Texas A&M University in partial fulfillment of the requirements for the degree of DOCTOR OF PHILOSOPHY May 2008 Major... Subject: Computer Science QUANTUM ERROR CONTROL CODES A Dissertation by SALAH ABDELHAMID AWAD ALY AHMED Submitted to the Office of Graduate Studies of Texas A&M University in partial fulfillment of the requirements for the degree of DOCTOR OF PHILOSOPHY...

  3. Thermodynamics of error correction

    E-Print Network [OSTI]

    Pablo Sartori; Simone Pigolotti

    2015-04-24T23:59:59.000Z

    Information processing at the molecular scale is limited by thermal fluctuations. This can cause undesired consequences in copying information since thermal noise can lead to errors that can compromise the functionality of the copy. For example, a high error rate during DNA duplication can lead to cell death. Given the importance of accurate copying at the molecular scale, it is fundamental to understand its thermodynamic features. In this paper, we derive a universal expression for the copy error as a function of entropy production and dissipated work of the process. Its derivation is based on the second law of thermodynamics, hence its validity is independent of the details of the molecular machinery, be it any polymerase or artificial copying device. Using this expression, we find that information can be copied in three different regimes. In two of them, work is dissipated to either increase or decrease the error. In the third regime, the protocol extracts work while correcting errors, reminiscent of a Maxwell demon. As a case study, we apply our framework to study a copy protocol assisted by kinetic proofreading, and show that it can operate in any of these three regimes. We finally show that, for any effective proofreading scheme, error reduction is limited by the chemical driving of the proofreading reaction.

  4. Quantum Error Correction Workshop on

    E-Print Network [OSTI]

    Grassl, Markus

    Error Correction Avoiding Errors: Mathematical Model decomposition of the interaction algebra;Quantum Error Correction Designed Hamiltonians Main idea: "perturb the system to make it more stable" · fast (local) control operations = average Hamiltonian with more symmetry (cf. techniques from NMR

  5. Relationalism

    E-Print Network [OSTI]

    Edward Anderson

    2014-07-15T23:59:59.000Z

    This article contributes to the debate of the meaning of relationalism and background independence, which has remained of interest in theoretical physics from Newton versus Leibniz through to foundational issues for today's leading candidate theories of quantum gravity. I contrast and compose the substantially different Leibniz--Mach--Barbour (LMB) and Rovelli--Crane (RC) uses of the word `relational'. Leibniz advocated primary timelessness and Mach that `time is to be abstracted from change'. I consider 3 distinct viewpoints on Machian time: Barbour's, Rovelli's and my own. I provide four expansions on Barbour's taking configuration space to be primary: to (perhaps a weakened notion of) phase space, categorizing, perspecting and propositioning. Categorizing means considering not only object spaces but also the corresponding morphisms and then functors between such pairs. Perspecting means considering the set of subsystem perspectives; this is an arena in which the LMB and Rovelli approaches make contact. By propositioning, I mean considering the set of propositions about a physical (sub)system. I argue against categorization being more than a formal pre-requisite for quantization in general; however, perspecting is a categorical operation, and propositioning leads one to considering topoi, with Isham and Doering's work represents one possibility for a mathematically sharp implementation of propositioning. Further applications of this article are arguing for Ashtekar variables as being relational in LMB as well as just the usually-ascribed RC sense, relationalism versus supersymmetry, string theory and M-theory. The question of whether scale is relational is also considered, with quantum cosmology in mind.

  6. Radiochemically-Supported Microbial Communities: A Potential Mechanism for Biocolloid Production of Importance to Actinide Transport

    SciTech Connect (OSTI)

    Moser, Duane P [DRI; Hamilton-Brehm, Scott D [DRI; Fisher, Jenny C [DRI; Bruckner, James C [DRI; Kruger, Brittany [DRI; Sackett, Joshua [DRI; Russell, Charles E [DRI; Onstott, Tullis C [Princeton University; Czerwinski, Ken [University of Nevada-Las Vegas; Zavarin, Mavrik [lawrence Livermore National Laboratory; Campbell, James H [Northwest Missouri State University

    2014-06-01T23:59:59.000Z

    Due to the legacy of Cold War nuclear weapons testing, the Nevada National Security Site (NNSS, formerly known as the Nevada Test Site (NTS)) contains millions of Curies of radioactive contamination. Presented here is a summary of the results of the first comprehensive study of subsurface microbial communities of radioactive and nonradioactive aquifers at this site. To achieve the objectives of this project, cooperative actions between the Desert Research Institute (DRI), the Nevada Field Office of the National Nuclear Security Administration (NNSA), the Underground Test Area Activity (UGTA), and contractors such as Navarro-Interra (NI), were required. Ultimately, fluids from 17 boreholes and two water-filled tunnels were sampled (sometimes on multiple occasions and from multiple depths) from the NNSS, the adjacent Nevada Test and Training Range (NTTR), and a reference hole in the Amargosa Valley near Death Valley. The sites sampled ranged from highly-radioactive nuclear device test cavities to uncontaminated perched and regional aquifers. Specific areas sampled included recharge, intermediate, and discharge zones of a 100,000-km2 internally-draining province, known as the Death Valley Regional Flow System (DVRFS), which encompasses the entirety of the NNSS/NTTR and surrounding areas. Specific geological features sampled included: West Pahute and Ranier Mesas (recharge zone), Yucca and Frenchman Flats (transitional zone), and the Western edge of the Amargosa Valley near Death Valley (discharge zone). The original overarching question underlying the proposal supporting this work was stated as: Can radiochemically-produced substrates support indigenous microbial communities and subsequently stimulate biocolloid formation that can affect radionuclides in NNSS subsurface nuclear test/detonation sites? Radioactive and non-radioactive groundwater samples were thus characterized for physical parameters, aqueous geochemistry, and microbial communities using both DNA- and cultivation-based tools in an effort to understand the drivers of microbial community structure (including radioactivity) and microbial interactions with select radionuclides and other factors across the range of habitats surveyed.

  7. Quantum Error Correcting Subsystem Codes From Two Classical Linear Codes

    E-Print Network [OSTI]

    Dave Bacon; Andrea Casaccino

    2006-10-17T23:59:59.000Z

    The essential insight of quantum error correction was that quantum information can be protected by suitably encoding this quantum information across multiple independently erred quantum systems. Recently it was realized that, since the most general method for encoding quantum information is to encode it into a subsystem, there exists a novel form of quantum error correction beyond the traditional quantum error correcting subspace codes. These new quantum error correcting subsystem codes differ from subspace codes in that their quantum correcting routines can be considerably simpler than related subspace codes. Here we present a class of quantum error correcting subsystem codes constructed from two classical linear codes. These codes are the subsystem versions of the quantum error correcting subspace codes which are generalizations of Shor's original quantum error correcting subspace codes. For every Shor-type code, the codes we present give a considerable savings in the number of stabilizer measurements needed in their error recovery routines.

  8. Modular error embedding

    DOE Patents [OSTI]

    Sandford, II, Maxwell T. (Los Alamos, NM); Handel, Theodore G. (Los Alamos, NM); Ettinger, J. Mark (Los Alamos, NM)

    1999-01-01T23:59:59.000Z

    A method of embedding auxiliary information into the digital representation of host data containing noise in the low-order bits. The method applies to digital data representing analog signals, for example digital images. The method reduces the error introduced by other methods that replace the low-order bits with auxiliary information. By a substantially reverse process, the embedded auxiliary data can be retrieved easily by an authorized user through use of a digital key. The modular error embedding method includes a process to permute the order in which the host data values are processed. The method doubles the amount of auxiliary information that can be added to host data values, in comparison with bit-replacement methods for high bit-rate coding. The invention preserves human perception of the meaning and content of the host data, permitting the addition of auxiliary data in the amount of 50% or greater of the original host data.

  9. Approaches to Quantum Error Correction

    E-Print Network [OSTI]

    Julia Kempe

    2006-12-21T23:59:59.000Z

    The purpose of this little survey is to give a simple description of the main approaches to quantum error correction and quantum fault-tolerance. Our goal is to convey the necessary intuitions both for the problems and their solutions in this area. After characterising quantum errors we present several error-correction schemes and outline the elements of a full fledged fault-tolerant computation, which works error-free even though all of its components can be faulty. We also mention alternative approaches to error-correction, so called error-avoiding or decoherence-free schemes. Technical details and generalisations are kept to a minimum.

  10. Evaluating operating system vulnerability to memory errors.

    SciTech Connect (OSTI)

    Ferreira, Kurt Brian; Bridges, Patrick G. (University of New Mexico); Pedretti, Kevin Thomas Tauke; Mueller, Frank (North Carolina State University); Fiala, David (North Carolina State University); Brightwell, Ronald Brian

    2012-05-01T23:59:59.000Z

    Reliability is of great concern to the scalability of extreme-scale systems. Of particular concern are soft errors in main memory, which are a leading cause of failures on current systems and are predicted to be the leading cause on future systems. While great effort has gone into designing algorithms and applications that can continue to make progress in the presence of these errors without restarting, the most critical software running on a node, the operating system (OS), is currently left relatively unprotected. OS resiliency is of particular importance because, though this software typically represents a small footprint of a compute node's physical memory, recent studies show more memory errors in this region of memory than the remainder of the system. In this paper, we investigate the soft error vulnerability of two operating systems used in current and future high-performance computing systems: Kitten, the lightweight kernel developed at Sandia National Laboratories, and CLE, a high-performance Linux-based operating system developed by Cray. For each of these platforms, we outline major structures and subsystems that are vulnerable to soft errors and describe methods that could be used to reconstruct damaged state. Our results show the Kitten lightweight operating system may be an easier target to harden against memory errors due to its smaller memory footprint, largely deterministic state, and simpler system structure.

  11. The Error-Pattern-Correcting Turbo Equalizer

    E-Print Network [OSTI]

    Alhussien, Hakim

    2010-01-01T23:59:59.000Z

    The error-pattern correcting code (EPCC) is incorporated in the design of a turbo equalizer (TE) with aim to correct dominant error events of the inter-symbol interference (ISI) channel at the output of its matching Viterbi detector. By targeting the low Hamming-weight interleaved errors of the outer convolutional code, which are responsible for low Euclidean-weight errors in the Viterbi trellis, the turbo equalizer with an error-pattern correcting code (TE-EPCC) exhibits a much lower bit-error rate (BER) floor compared to the conventional non-precoded TE, especially for high rate applications. A maximum-likelihood upper bound is developed on the BER floor of the TE-EPCC for a generalized two-tap ISI channel, in order to study TE-EPCC's signal-to-noise ratio (SNR) gain for various channel conditions and design parameters. In addition, the SNR gain of the TE-EPCC relative to an existing precoded TE is compared to demonstrate the present TE's superiority for short interleaver lengths and high coding rates.

  12. STATISTICAL MODEL OF SYSTEMATIC ERRORS: LINEAR ERROR MODEL

    E-Print Network [OSTI]

    Rudnyi, Evgenii B.

    to apply. The algorithm to maximize a likelihood function in the case of a non-linear physico - the same variances of errors 3.1. One-way classification 3.2. Linear regression 4. Real case (vaporizationSTATISTICAL MODEL OF SYSTEMATIC ERRORS: LINEAR ERROR MODEL E.B. Rudnyi Department of Chemistry

  13. Unequal Error Protection Turbo Codes

    E-Print Network [OSTI]

    Henkel, Werner

    Unequal Error Protection Turbo Codes Diploma Thesis Neele von Deetzen Arbeitsbereich Nachrichtentechnik School of Engineering and Science Bremen, February 28th, 2005 #12;Unequal Error Protection Turbo Convolutional Codes / Turbo Codes 18 3.1 Structure

  14. EIA - Sorry! Unexpected Error

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOnItem NotEnergy,ARMFormsGasRelease Date:research community -- hosted byCold Fusion Error

  15. Uncertainty quantification and error analysis

    SciTech Connect (OSTI)

    Higdon, Dave M [Los Alamos National Laboratory; Anderson, Mark C [Los Alamos National Laboratory; Habib, Salman [Los Alamos National Laboratory; Klein, Richard [Los Alamos National Laboratory; Berliner, Mark [OHIO STATE UNIV.; Covey, Curt [LLNL; Ghattas, Omar [UNIV OF TEXAS; Graziani, Carlo [UNIV OF CHICAGO; Seager, Mark [LLNL; Sefcik, Joseph [LLNL; Stark, Philip [UC/BERKELEY; Stewart, James [SNL

    2010-01-01T23:59:59.000Z

    UQ studies all sources of error and uncertainty, including: systematic and stochastic measurement error; ignorance; limitations of theoretical models; limitations of numerical representations of those models; limitations on the accuracy and reliability of computations, approximations, and algorithms; and human error. A more precise definition for UQ is suggested below.

  16. Register file soft error recovery

    DOE Patents [OSTI]

    Fleischer, Bruce M.; Fox, Thomas W.; Wait, Charles D.; Muff, Adam J.; Watson, III, Alfred T.

    2013-10-15T23:59:59.000Z

    Register file soft error recovery including a system that includes a first register file and a second register file that mirrors the first register file. The system also includes an arithmetic pipeline for receiving data read from the first register file, and error detection circuitry to detect whether the data read from the first register file includes corrupted data. The system further includes error recovery circuitry to insert an error recovery instruction into the arithmetic pipeline in response to detecting the corrupted data. The inserted error recovery instruction replaces the corrupted data in the first register file with a copy of the data from the second register file.

  17. Standard test methods for chemical, mass spectrometric, spectrochemical, nuclear, and radiochemical analysis of nuclear-grade uranyl nitrate solutions

    E-Print Network [OSTI]

    American Society for Testing and Materials. Philadelphia

    1999-01-01T23:59:59.000Z

    1.1 These test methods cover procedures for the chemical, mass spectrometric, spectrochemical, nuclear, and radiochemical analysis of nuclear-grade uranyl nitrate solution to determine compliance with specifications. 1.2 The analytical procedures appear in the following order: Sections Determination of Uranium 7 Specific Gravity by Pycnometry 15-20 Free Acid by Oxalate Complexation 21-27 Determination of Thorium 28 Determination of Chromium 29 Determination of Molybdenum 30 Halogens Separation by Steam Distillation 31-35 Fluoride by Specific Ion Electrode 36-42 Halogen Distillate Analysis: Chloride, Bromide, and Iodide by Amperometric Microtitrimetry 43 Determination of Chloride and Bromide 44 Determination of Sulfur by X-Ray Fluorescence 45 Sulfate Sulfur by (Photometric) Turbidimetry 46 Phosphorus by the Molybdenum Blue (Photometric) Method 54-61 Silicon by the Molybdenum Blue (Photometric) Method 62-69 Carbon by Persulfate Oxidation-Acid Titrimetry 70 Conversion to U3O8 71-74 Boron by ...

  18. Standard test methods for chemical, mass spectrometric, spectrochemical, nuclear, and radiochemical analysis of nuclear-grade plutonium nitrate solutions

    E-Print Network [OSTI]

    American Society for Testing and Materials. Philadelphia

    2010-01-01T23:59:59.000Z

    1.1 These test methods cover procedures for the chemical, mass spectrometric, spectrochemical, nuclear, and radiochemical analysis of nuclear-grade plutonium nitrate solutions to determine compliance with specifications. 1.2 The analytical procedures appear in the following order: Sections Plutonium by Controlled-Potential Coulometry Plutonium by Amperometric Titration with Iron(II) Plutonium by Diode Array Spectrophotometry Free Acid by Titration in an Oxalate Solution 8 to 15 Free Acid by Iodate Precipitation-Potentiometric Titration Test Method 16 to 22 Uranium by Arsenazo I Spectrophotometric Test Method 23 to 33 Thorium by Thorin Spectrophotometric Test Method 34 to 42 Iron by 1,10-Phenanthroline Spectrophotometric Test Method 43 to 50 Impurities by ICP-AES Chloride by Thiocyanate Spectrophotometric Test Method 51 to 58 Fluoride by Distillation-Spectrophotometric Test Method 59 to 66 Sulfate by Barium Sulfate Turbidimetric Test Method 67 to 74 Isotopic Composition by Mass Spectrom...

  19. Franklin Trouble Shooting and Error Messages

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

    Trouble Shooting and Error Messages Trouble Shooting and Error Messages Error Messages Message or Symptom Fault Recommendation job hit wallclock time limit user or system Submit...

  20. Mutual information, bit error rate and security in Wójcik's scheme

    E-Print Network [OSTI]

    Zhanjun Zhang

    2004-02-21T23:59:59.000Z

    In this paper the correct calculations of the mutual information of the whole transmission, the quantum bit error rate (QBER) are presented. Mistakes of the general conclusions relative to the mutual information, the quantum bit error rate (QBER) and the security in W\\'{o}jcik's paper [Phys. Rev. Lett. {\\bf 90}, 157901(2003)] have been pointed out.

  1. Cosmic Ray Spectral Deformation Caused by Energy Determination Errors

    E-Print Network [OSTI]

    Per Carlson; Conny Wannemark

    2005-05-10T23:59:59.000Z

    Using simulation methods, distortion effects on energy spectra caused by errors in the energy determination have been investigated. For cosmic ray proton spectra, falling steeply with kinetic energy E as E-2.7, significant effects appear. When magnetic spectrometers are used to determine the energy, the relative error increases linearly with the energy and distortions with a sinusoidal form appear starting at an energy that depends significantly on the error distribution but at an energy lower than that corresponding to the Maximum Detectable Rigidity of the spectrometer. The effect should be taken into consideration when comparing data from different experiments, often having different error distributions.

  2. Nested Quantum Error Correction Codes

    E-Print Network [OSTI]

    Zhuo Wang; Kai Sun; Hen Fan; Vlatko Vedral

    2009-09-28T23:59:59.000Z

    The theory of quantum error correction was established more than a decade ago as the primary tool for fighting decoherence in quantum information processing. Although great progress has already been made in this field, limited methods are available in constructing new quantum error correction codes from old codes. Here we exhibit a simple and general method to construct new quantum error correction codes by nesting certain quantum codes together. The problem of finding long quantum error correction codes is reduced to that of searching several short length quantum codes with certain properties. Our method works for all length and all distance codes, and is quite efficient to construct optimal or near optimal codes. Two main known methods in constructing new codes from old codes in quantum error-correction theory, the concatenating and pasting, can be understood in the framework of nested quantum error correction codes.

  3. Finding beam focus errors automatically

    SciTech Connect (OSTI)

    Lee, M.J.; Clearwater, S.H.; Kleban, S.D.

    1987-01-01T23:59:59.000Z

    An automated method for finding beam focus errors using an optimization program called COMFORT-PLUS. The steps involved in finding the correction factors using COMFORT-PLUS has been used to find the beam focus errors for two damping rings at the SLAC Linear Collider. The program is to be used as an off-line program to analyze actual measured data for any SLC system. A limitation on the application of this procedure is found to be that it depends on the magnitude of the machine errors. Another is that the program is not totally automated since the user must decide a priori where to look for errors. (LEW)

  4. Data& Error Analysis 1 DATA and ERROR ANALYSIS

    E-Print Network [OSTI]

    Mukasyan, Alexander

    Data& Error Analysis 1 DATA and ERROR ANALYSIS Performing the experiment and collecting data learned, you might get a better grade.) Data analysis should NOT be delayed until all of the data. This will help one avoid the problem of spending an entire class collecting bad data because of a mistake

  5. Sorbent Testing For Solidification of Process Waste streams from the Radiochemical Engineering Development Center at Oak Ridge National Laboratory

    SciTech Connect (OSTI)

    Bickford, J. [MSE Technology Applications, Inc., MT (United States); Taylor, P. [Oak Ridge National Laboratory, Oak Ridge, TN (United States)

    2007-07-01T23:59:59.000Z

    The U.S. Department of Energy (DOE) tasked MSE Technology Applications, Inc. (MSE) to evaluate sorbents identified by Oak Ridge National Laboratory (ORNL) to solidify the radioactive liquid organic waste from the Radiochemical Engineering Development Center (REDC) at ORNL. REDC recovers and purifies heavy elements (berkelium, californium, einsteinium, and fermium) from irradiated targets for research and industrial applications. Both organic and aqueous waste streams are discharged from REDC. The organic waste is generated from the plutonium/uranium extraction (Purex), Cleanex, and Pubex processes. The Purex waste derives from an organic-aqueous isotope separation process for plutonium and uranium fission products, the Cleanex waste derives from the removal of fission products and other impurities from the americium/curium product, and the Pubex waste is derived from the separation process of plutonium from dissolved targets. MSE had also been tasked to test a grouting formula for the aqueous waste stream that includes radioactive shielding material. The aqueous waste is a mixture of the raffinate streams from the various extraction processes plus the caustic solution that is used to dissolve the aluminum cladding from the irradiated targets. (authors)

  6. Dynamic Prediction of Concurrency Errors

    E-Print Network [OSTI]

    Sadowski, Caitlin

    2012-01-01T23:59:59.000Z

    errors in systems code using smt solvers. In Computer Aideddata race witnesses by an SMT-based analysis. In NASA Formalscalability relies on a modern SMT solver and an e?cient

  7. Unequal error protection of subband coded bits

    E-Print Network [OSTI]

    Devalla, Badarinath

    1994-01-01T23:59:59.000Z

    Source coded data can be separated into different classes based on their susceptibility to channel errors. Errors in the Important bits cause greater distortion in the reconstructed signal. This thesis presents an Unequal Error Protection scheme...

  8. Two-Layer Error Control Codes Combining Rectangular and Hamming Product Codes for Cache Error

    E-Print Network [OSTI]

    Zhang, Meilin

    We propose a novel two-layer error control code, combining error detection capability of rectangular codes and error correction capability of Hamming product codes in an efficient way, in order to increase cache error ...

  9. Fault-Tolerant Thresholds for Encoded Ancillae with Homogeneous Errors

    E-Print Network [OSTI]

    Bryan Eastin

    2006-11-14T23:59:59.000Z

    I describe a procedure for calculating thresholds for quantum computation as a function of error model given the availability of ancillae prepared in logical states with independent, identically distributed errors. The thresholds are determined via a simple counting argument performed on a single qubit of an infinitely large CSS code. I give concrete examples of thresholds thus achievable for both Steane and Knill style fault-tolerant implementations and investigate their relation to threshold estimates in the literature.

  10. Harmonic Analysis Errors in Calculating Dipole,

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

    to reduce the harmonic field calculation errors. A conformal transfor- mation of a multipole magnet into a dipole reduces these errors. Dipole Magnet Calculations A triangular...

  11. Improving Memory Error Handling Using Linux

    SciTech Connect (OSTI)

    Carlton, Michael Andrew [Los Alamos National Lab. (LANL), Los Alamos, NM (United States); Blanchard, Sean P. [Los Alamos National Lab. (LANL), Los Alamos, NM (United States); Debardeleben, Nathan A. [Los Alamos National Lab. (LANL), Los Alamos, NM (United States)

    2014-07-25T23:59:59.000Z

    As supercomputers continue to get faster and more powerful in the future, they will also have more nodes. If nothing is done, then the amount of memory in supercomputer clusters will soon grow large enough that memory failures will be unmanageable to deal with by manually replacing memory DIMMs. "Improving Memory Error Handling Using Linux" is a process oriented method to solve this problem by using the Linux kernel to disable (offline) faulty memory pages containing bad addresses, preventing them from being used again by a process. The process of offlining memory pages simplifies error handling and results in reducing both hardware and manpower costs required to run Los Alamos National Laboratory (LANL) clusters. This process will be necessary for the future of supercomputing to allow the development of exascale computers. It will not be feasible without memory error handling to manually replace the number of DIMMs that will fail daily on a machine consisting of 32-128 petabytes of memory. Testing reveals the process of offlining memory pages works and is relatively simple to use. As more and more testing is conducted, the entire process will be automated within the high-performance computing (HPC) monitoring software, Zenoss, at LANL.

  12. Systematic Errors in measurement of b1

    SciTech Connect (OSTI)

    Wood, S A

    2014-10-27T23:59:59.000Z

    A class of spin observables can be obtained from the relative difference of or asymmetry between cross sections of different spin states of beam or target particles. Such observables have the advantage that the normalization factors needed to calculate absolute cross sections from yields often divide out or cancel to a large degree in constructing asymmetries. However, normalization factors can change with time, giving different normalization factors for different target or beam spin states, leading to systematic errors in asymmetries in addition to those determined from statistics. Rapidly flipping spin orientation, such as what is routinely done with polarized beams, can significantly reduce the impact of these normalization fluctuations and drifts. Target spin orientations typically require minutes to hours to change, versus fractions of a second for beams, making systematic errors for observables based on target spin flips more difficult to control. Such systematic errors from normalization drifts are discussed in the context of the proposed measurement of the deuteron b(1) structure function at Jefferson Lab.

  13. Slope Error Measurement Tool for Solar Parabolic Trough Collectors: Preprint

    SciTech Connect (OSTI)

    Stynes, J. K.; Ihas, B.

    2012-04-01T23:59:59.000Z

    The National Renewable Energy Laboratory (NREL) has developed an optical measurement tool for parabolic solar collectors that measures the combined errors due to absorber misalignment and reflector slope error. The combined absorber alignment and reflector slope errors are measured using a digital camera to photograph the reflected image of the absorber in the collector. Previous work using the image of the reflection of the absorber finds the reflector slope errors from the reflection of the absorber and an independent measurement of the absorber location. The accuracy of the reflector slope error measurement is thus dependent on the accuracy of the absorber location measurement. By measuring the combined reflector-absorber errors, the uncertainty in the absorber location measurement is eliminated. The related performance merit, the intercept factor, depends on the combined effects of the absorber alignment and reflector slope errors. Measuring the combined effect provides a simpler measurement and a more accurate input to the intercept factor estimate. The minimal equipment and setup required for this measurement technique make it ideal for field measurements.

  14. Distributed Error Confinement Extended Abstract

    E-Print Network [OSTI]

    Patt-Shamir, Boaz

    . These algorithms can serve as building blocks in more general reactive systems. Previous results in exploring locality in reactive systems were not error confined, and relied on the assump- tion (not used in current, that seems inherent for voting in reactive networks; its analysis leads to an interesting combinatorial

  15. 324 Building radiochemical engineering cells, high-level vault, low-level vault, and associated areas closure plan

    SciTech Connect (OSTI)

    Barnett, J.M.

    1998-03-25T23:59:59.000Z

    The Hanford Site, located adjacent to and north of Richland, Washington, is operated by the US Department of Energy, Richland Operations Office (RL). The 324 Building is located in the 300 Area of the Hanford Site. The 324 Building was constructed in the 1960s to support materials and chemical process research and development activities ranging from laboratory/bench-scale studies to full engineering-scale pilot plant demonstrations. In the mid-1990s, it was determined that dangerous waste and waste residues were being stored for greater than 90 days in the 324 Building Radiochemical Engineering Cells (REC) and in the High-Level Vault/Low-Level Vault (HLV/LLV) tanks. [These areas are not Resource Conservation and Recovery Act of 1976 (RCRA) permitted portions of the 324 Building.] Through the Hanford Federal Facility Agreement and Consent Order (Tri-Party Agreement) Milestone M-89, agreement was reached to close the nonpermitted RCRA unit in the 324 Building. This closure plan, managed under TPA Milestone M-20-55, addresses the identified building areas targeted by the Tri-Party Agreement and provides commitments to achieve the highest degree of compliance practicable, given the special technical difficulties of managing mixed waste that contains high-activity radioactive materials, and the physical limitations of working remotely in the areas within the subject closure unit. This closure plan is divided into nine chapters. Chapter 1.0 provides the introduction, historical perspective, 324 Building history and current mission, and the regulatory basis and strategy for managing the closure unit. Chapters 2.0, 3.0, 4.0, and 5.0 discuss the detailed facility description, process information, waste characteristics, and groundwater monitoring respectively. Chapter 6.0 deals with the closure strategy and performance standard, including the closure activities for the B-Cell, D-Cell, HLV, LLV; piping and miscellaneous associated building areas. Chapter 7.0 addresses the closure activities identified in Chapter 6.0, and also adds information on closure activities for the soil directly beneath the unit, regulated material removed during closure, and the schedule for closure. Chapter 8.0 provides Surveillance, monitoring and post-closure information and Chapter 9.0 provides a list of references used throughout the document.

  16. Radiochemical method development

    SciTech Connect (OSTI)

    Erickson, M.D.; Aldstadt, J.H.; Alvarado, J.S.; Crain, J.S.; Orlandini, K.A.; Smith, L.L.

    1994-09-01T23:59:59.000Z

    The authors have developed methods for chemical characterization of the environment under a multitask project that focuses on improvement of radioanalytical methods with an emphasis on faster and cheaper routine methods. The authors have developed improved methods for separation of environmental levels of technetium-99, radium, and actinides from soil and water; separation of actinides from soil and water matrix interferences; and isolation of strontium. They are also developing methods for simultaneous detection of multiple isotopes (including nonradionuclides) by using a new instrumental technique, inductively coupled plasma-mass spectrometry (ICP-MS). The new ICP-MS methods have greater sensitivity and efficiency and could replace many radiometric techniques. They are using flow injection analysis to integrate and automate the separation methods with the ICP-MS methodology. The final product of all activities will be methods that are available (published in the U.S. Department of Energy`s analytical methods compendium) and acceptable for use in regulatory situations.

  17. Radiochemical Analysis | ORNL

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

    Nuclear Analytical Chemistry and Isotopics Laboratories The Nuclear Analytical Chemistry and Isotopics Laboratories are part of a specialized nuclear analytical organization at Oak...

  18. Radiochemical Analysis | ORNL

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's PossibleRadiation Protection Radiation Protection Regulations: TheCompetition »

  19. Output error identification of hydrogenerator conduit dynamics

    SciTech Connect (OSTI)

    Vogt, M.A.; Wozniak, L. (Illinois Univ., Urbana, IL (USA)); Whittemore, T.R. (Bureau of Reclamation, Denver, CO (USA))

    1989-09-01T23:59:59.000Z

    Two output error model reference adaptive identifiers are considered for estimating the parameters in a reduced order gate position to pressure model for the hydrogenerator. This information may later be useful in an adaptive controller. Gradient and sensitivity functions identifiers are discussed for the hydroelectric application and connections are made between their structural differences and relative performance. Simulations are presented to support the conclusion that the latter algorithm is more robust, having better disturbance rejection and less plant model mismatch sensitivity. For identification from recorded plant data from step gate inputs, the other algorithm even fails to converge. A method for checking the estimated parameters is developed by relating the coefficients in the reduced order model to head, an externally measurable parameter.

  20. Designing Automation to Reduce Operator Errors Nancy G. Leveson

    E-Print Network [OSTI]

    Leveson, Nancy

    Designing Automation to Reduce Operator Errors Nancy G. Leveson Computer Science and Engineering University of Washington Everett Palmer NASA Ames Research Center Introduction Advanced automation has been of mode­related problems [SW95]. After studying accidents and incidents in the new, highly automated

  1. Multilayer Perceptron Error Surfaces: Visualization, Structure and Modelling

    E-Print Network [OSTI]

    Gallagher, Marcus

    . This is commonly formulated as a multivariate non­linear optimization problem over a very high­dimensional space of analysis are not well­suited to this problem. Visualizing and describ­ ing the error surface are also three related methods. Firstly, Principal Component Analysis (PCA) is proposed as a method

  2. Multi-layer Perceptron Error Surfaces: Visualization, Structure and Modelling

    E-Print Network [OSTI]

    Gallagher, Marcus

    . This is commonly formulated as a multivariate non-linear optimization problem over a very high-dimensional space of analysis are not well-suited to this problem. Visualizing and describ- ing the error surface are also three related methods. Firstly, Principal Component Analysis (PCA) is proposed as a method

  3. Error Floors of LDPC Codes and Related Topics

    E-Print Network [OSTI]

    Butler, Brian K.

    Code . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .2.2 LDPC Codes . . . . . . . .2.1 Binary Linear Block Codes . . . . . . .

  4. Table 2b. Relative Standard Errors for Electricity Consumption and

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122Commercial ConsumersThousandCubic Feet) DecadeV49 155 181 1773

  5. Quantum Error Correction with magnetic molecules

    E-Print Network [OSTI]

    José J. Baldoví; Salvador Cardona-Serra; Juan M. Clemente-Juan; Luis Escalera-Moreno; Alejandro Gaita-Ariño; Guillermo Mínguez Espallargas

    2014-08-22T23:59:59.000Z

    Quantum algorithms often assume independent spin qubits to produce trivial $|\\uparrow\\rangle=|0\\rangle$, $|\\downarrow\\rangle=|1\\rangle$ mappings. This can be unrealistic in many solid-state implementations with sizeable magnetic interactions. Here we show that the lower part of the spectrum of a molecule containing three exchange-coupled metal ions with $S=1/2$ and $I=1/2$ is equivalent to nine electron-nuclear qubits. We derive the relation between spin states and qubit states in reasonable parameter ranges for the rare earth $^{159}$Tb$^{3+}$ and for the transition metal Cu$^{2+}$, and study the possibility to implement Shor's Quantum Error Correction code on such a molecule. We also discuss recently developed molecular systems that could be adequate from an experimental point of view.

  6. Approximate error conjugation gradient minimization methods

    DOE Patents [OSTI]

    Kallman, Jeffrey S

    2013-05-21T23:59:59.000Z

    In one embodiment, a method includes selecting a subset of rays from a set of all rays to use in an error calculation for a constrained conjugate gradient minimization problem, calculating an approximate error using the subset of rays, and calculating a minimum in a conjugate gradient direction based on the approximate error. In another embodiment, a system includes a processor for executing logic, logic for selecting a subset of rays from a set of all rays to use in an error calculation for a constrained conjugate gradient minimization problem, logic for calculating an approximate error using the subset of rays, and logic for calculating a minimum in a conjugate gradient direction based on the approximate error. In other embodiments, computer program products, methods, and systems are described capable of using approximate error in constrained conjugate gradient minimization problems.

  7. Validation of Minor Actinide Cross Sections by Studying Samples Irradiated for 492 Days at the Dounreay Prototype Fast Reactor - I: Radiochemical Analysis

    SciTech Connect (OSTI)

    Shinohara, N. [Japan Atomic Energy Research Institute (Japan); Kohno, N. [Japan Atomic Energy Research Institute (Japan); Nakahara, Y. [Japan Atomic Energy Research Institute (Japan); Tsujimoto, K. [Japan Atomic Energy Research Institute (Japan); Sakurai, T. [Japan Atomic Energy Research Institute (Japan); Mukaiyama, T. [Japan Atomic Energy Research Institute (Japan); Raman, S. [Oak Ridge National Laboratory (United States)

    2003-06-15T23:59:59.000Z

    Actinide samples irradiated in the Dounreay Prototype Fast Reactor for 492 effective full-power days were analyzed at Japan Atomic Energy Research Institute by radiochemical methods to measure the isotopic compositions of the fission products (molybdenum, zirconium, and neodymium isotopes) and of the actinides (uranium, neptunium, plutonium, americium, curium, and californium isotopes). In this first of two companion papers, procedures used for chemical analyses and the analyzed data are presented. There is good agreement between the current results and previous results obtained at Oak Ridge National Laboratory. Therefore, these analytical results could serve as a benchmark for future calculations and validation of nuclear data libraries. Such a validation is attempted in the companion paper.

  8. BAR-CODE BASED WEIGHT MEASUREMENT STATION FOR PHYSICAL INVENTORY TAKING OF PLUTONIUM OXIDE CONTAINERS AT THE MINING AND CHEMICAL COMBINE RADIOCHEMICAL REPROCESSING PLANT NEAR KRASNOYARSK, SIBERIA.

    SciTech Connect (OSTI)

    SUDA,S.

    1999-09-20T23:59:59.000Z

    This paper describes the technical tasks being implemented to computerize the physical inventory taking (PIT) at the Mining and Chemical Combine (Gorno-Khimichesky Kombinat, GKhK) radiochemical plant under the US/Russian cooperative nuclear material protection, control, and accounting (MPC and A) program. Under the MPC and A program, Lab-to-Lab task agreements with GKhK were negotiated that involved computerized equipment for item verification and confirmatory measurement of the Pu containers. Tasks under Phase I cover the work for demonstrating the plan and procedures for carrying out the comparison of the Pu container identification on the container with the computerized inventory records. In addition to the records validation, the verification procedures include the application of bar codes and bar coded TIDs to the Pu containers. Phase II involves the verification of the Pu content. A plan and procedures are being written for carrying out confirmatory measurements on the Pu containers.

  9. Reducing Collective Quantum State Rotation Errors with Reversible Dephasing

    E-Print Network [OSTI]

    Kevin C. Cox; Matthew A. Norcia; Joshua M. Weiner; Justin G. Bohnet; James K. Thompson

    2014-07-16T23:59:59.000Z

    We demonstrate that reversible dephasing via inhomogeneous broadening can greatly reduce collective quantum state rotation errors, and observe the suppression of rotation errors by more than 21 dB in the context of collective population measurements of the spin states of an ensemble of $2.1 \\times 10^5$ laser cooled and trapped $^{87}$Rb atoms. The large reduction in rotation noise enables direct resolution of spin state populations 13(1) dB below the fundamental quantum projection noise limit. Further, the spin state measurement projects the system into an entangled state with 9.5(5) dB of directly observed spectroscopic enhancement (squeezing) relative to the standard quantum limit, whereas no enhancement would have been obtained without the suppression of rotation errors.

  10. Hard Data on Soft Errors: A Large-Scale Assessment of Real-World Error Rates in GPGPU

    E-Print Network [OSTI]

    Haque, Imran S

    2009-01-01T23:59:59.000Z

    Graphics processing units (GPUs) are gaining widespread use in computational chemistry and other scientific simulation contexts because of their huge performance advantages relative to conventional CPUs. However, the reliability of GPUs in error-intolerant applications is largely unproven. In particular, a lack of error checking and correcting (ECC) capability in the memory subsystems of graphics cards has been cited as a hindrance to the acceptance of GPUs as high-performance coprocessors, but the impact of this design has not been previously quantified. In this article we present MemtestG80, our software for assessing memory error rates on NVIDIA G80 and GT200-architecture-based graphics cards. Furthermore, we present the results of a large-scale assessment of GPU error rate, conducted by running MemtestG80 on over 20,000 hosts on the Folding@home distributed computing network. Our control experiments on consumer-grade and dedicated-GPGPU hardware in a controlled environment found no errors. However, our su...

  11. Error handling strategies in multiphase inverse modeling

    SciTech Connect (OSTI)

    Finsterle, S.; Zhang, Y.

    2010-12-01T23:59:59.000Z

    Parameter estimation by inverse modeling involves the repeated evaluation of a function of residuals. These residuals represent both errors in the model and errors in the data. In practical applications of inverse modeling of multiphase flow and transport, the error structure of the final residuals often significantly deviates from the statistical assumptions that underlie standard maximum likelihood estimation using the least-squares method. Large random or systematic errors are likely to lead to convergence problems, biased parameter estimates, misleading uncertainty measures, or poor predictive capabilities of the calibrated model. The multiphase inverse modeling code iTOUGH2 supports strategies that identify and mitigate the impact of systematic or non-normal error structures. We discuss these approaches and provide an overview of the error handling features implemented in iTOUGH2.

  12. Estimating IMU heading error from SAR images.

    SciTech Connect (OSTI)

    Doerry, Armin Walter

    2009-03-01T23:59:59.000Z

    Angular orientation errors of the real antenna for Synthetic Aperture Radar (SAR) will manifest as undesired illumination gradients in SAR images. These gradients can be measured, and the pointing error can be calculated. This can be done for single images, but done more robustly using multi-image methods. Several methods are provided in this report. The pointing error can then be fed back to the navigation Kalman filter to correct for problematic heading (yaw) error drift. This can mitigate the need for uncomfortable and undesired IMU alignment maneuvers such as S-turns.

  13. Flux recovery and a posteriori error estimators

    E-Print Network [OSTI]

    2010-05-20T23:59:59.000Z

    bility and the local efficiency bounds for this estimator are established provided that the ... For simple model problems, the energy norm of the true error is equal.

  14. Original Article Error Bounds and Metric Subregularity

    E-Print Network [OSTI]

    2014-06-18T23:59:59.000Z

    theory of error bounds of extended real-valued functions. Another objective is to ... Another observation is that neighbourhood V in the original definition of metric.

  15. Wind Power Forecasting Error Distributions over Multiple Timescales (Presentation)

    SciTech Connect (OSTI)

    Hodge, B. M.; Milligan, M.

    2011-07-01T23:59:59.000Z

    This presentation presents some statistical analysis of wind power forecast errors and error distributions, with examples using ERCOT data.

  16. Error Mining on Dependency Trees Claire Gardent

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Error Mining on Dependency Trees Claire Gardent CNRS, LORIA, UMR 7503 Vandoeuvre-l`es-Nancy, F-l`es-Nancy, F-54600, France shashi.narayan@loria.fr Abstract In recent years, error mining approaches were propose an algorithm for mining trees and ap- ply it to detect the most likely sources of gen- eration

  17. SEU induced errors observed in microprocessor systems

    SciTech Connect (OSTI)

    Asenek, V.; Underwood, C.; Oldfield, M. [Univ. of Surrey, Guildford (United Kingdom). Surrey Space Centre] [Univ. of Surrey, Guildford (United Kingdom). Surrey Space Centre; Velazco, R.; Rezgui, S.; Cheynet, P. [TIMA Lab., Grenoble (France)] [TIMA Lab., Grenoble (France); Ecoffet, R. [Centre National d`Etudes Spatiales, Toulouse (France)] [Centre National d`Etudes Spatiales, Toulouse (France)

    1998-12-01T23:59:59.000Z

    In this paper, the authors present software tools for predicting the rate and nature of observable SEU induced errors in microprocessor systems. These tools are built around a commercial microprocessor simulator and are used to analyze real satellite application systems. Results obtained from simulating the nature of SEU induced errors are shown to correlate with ground-based radiation test data.

  18. Remarks on statistical errors in equivalent widths

    E-Print Network [OSTI]

    Klaus Vollmann; Thomas Eversberg

    2006-07-03T23:59:59.000Z

    Equivalent width measurements for rapid line variability in atomic spectral lines are degraded by increasing error bars with shorter exposure times. We derive an expression for the error of the line equivalent width $\\sigma(W_\\lambda)$ with respect to pure photon noise statistics and provide a correction value for previous calculations.

  19. Stabilizer Formalism for Operator Quantum Error Correction

    E-Print Network [OSTI]

    Poulin, D

    2005-01-01T23:59:59.000Z

    Operator quantum error correction is a recently developed theory that provides a generalized framework for active error correction and passive error avoiding schemes. In this paper, we describe these codes in the language of the stabilizer formalism of standard quantum error correction theory. This is achieved by adding a "gauge" group to the standard stabilizer definition of a code. Gauge transformations leave the encoded information unchanged; their effect is absorbed by virtual gauge qubits that do not carry useful information. We illustrate the construction by identifying a gauge symmetry in Shor's 9-qubit code that allows us to remove 3 of its 8 stabilizer generators, leading to a simpler decoding procedure without affecting its essential properties. This opens the path to possible improvement of the error threshold of fault tolerant quantum computing. We also derive a modified Hamming bound that applies to all stabilizer codes, including degenerate ones.

  20. Stabilizer Formalism for Operator Quantum Error Correction

    E-Print Network [OSTI]

    David Poulin

    2006-06-14T23:59:59.000Z

    Operator quantum error correction is a recently developed theory that provides a generalized framework for active error correction and passive error avoiding schemes. In this paper, we describe these codes in the stabilizer formalism of standard quantum error correction theory. This is achieved by adding a "gauge" group to the standard stabilizer definition of a code that defines an equivalence class between encoded states. Gauge transformations leave the encoded information unchanged; their effect is absorbed by virtual gauge qubits that do not carry useful information. We illustrate the construction by identifying a gauge symmetry in Shor's 9-qubit code that allows us to remove 4 of its 8 stabilizer generators, leading to a simpler decoding procedure and a wider class of logical operations without affecting its essential properties. This opens the path to possible improvements of the error threshold of fault-tolerant quantum computing.

  1. Prediction Error and Event Boundaries 1 Running Head: PREDICTION ERROR AND EVENT BOUNDARIES

    E-Print Network [OSTI]

    Zacks, Jeffrey M.

    Prediction Error and Event Boundaries 1 Running Head: PREDICTION ERROR AND EVENT BOUNDARIES A computational model of event segmentation from perceptual prediction. Jeremy R. Reynolds, Jeffrey M. Zacks, and Todd S. Braver Washington University Manuscript #12;Prediction Error and Event Boundaries 2 People tend

  2. A Method for Treating Discretization Error in Nondeterministic Analysis

    SciTech Connect (OSTI)

    Alvin, K.F.

    1999-01-27T23:59:59.000Z

    A response surface methodology-based technique is presented for treating discretization error in non-deterministic analysis. The response surface, or metamodel, is estimated from computer experiments which vary both uncertain physical parameters and the fidelity of the computational mesh. The resultant metamodel is then used to propagate the variabilities in the continuous input parameters, while the mesh size is taken to zero, its asymptotic limit. With respect to mesh size, the metamodel is equivalent to Richardson extrapolation, in which solutions on coarser and finer meshes are used to estimate discretization error. The method is demonstrated on a one dimensional prismatic bar, in which uncertainty in the third vibration frequency is estimated by propagating variations in material modulus, density, and bar length. The results demonstrate the efficiency of the method for combining non-deterministic analysis with error estimation to obtain estimates of total simulation uncertainty. The results also show the relative sensitivity of failure estimates to solution bias errors in a reliability analysis, particularly when the physical variability of the system is low.

  3. Verification of unfold error estimates in the unfold operator code

    SciTech Connect (OSTI)

    Fehl, D.L.; Biggs, F. [Sandia National Laboratories, Albuquerque, New Mexico 87185 (United States)] [Sandia National Laboratories, Albuquerque, New Mexico 87185 (United States)

    1997-01-01T23:59:59.000Z

    Spectral unfolding is an inverse mathematical operation that attempts to obtain spectral source information from a set of response functions and data measurements. Several unfold algorithms have appeared over the past 30 years; among them is the unfold operator (UFO) code written at Sandia National Laboratories. In addition to an unfolded spectrum, the UFO code also estimates the unfold uncertainty (error) induced by estimated random uncertainties in the data. In UFO the unfold uncertainty is obtained from the error matrix. This built-in estimate has now been compared to error estimates obtained by running the code in a Monte Carlo fashion with prescribed data distributions (Gaussian deviates). In the test problem studied, data were simulated from an arbitrarily chosen blackbody spectrum (10 keV) and a set of overlapping response functions. The data were assumed to have an imprecision of 5{percent} (standard deviation). One hundred random data sets were generated. The built-in estimate of unfold uncertainty agreed with the Monte Carlo estimate to within the statistical resolution of this relatively small sample size (95{percent} confidence level). A possible 10{percent} bias between the two methods was unresolved. The Monte Carlo technique is also useful in underdetermined problems, for which the error matrix method does not apply. UFO has been applied to the diagnosis of low energy x rays emitted by Z-pinch and ion-beam driven hohlraums. {copyright} {ital 1997 American Institute of Physics.}

  4. Error Detection and Error Classification: Failure Awareness in Data Transfer Scheduling

    SciTech Connect (OSTI)

    Louisiana State University; Balman, Mehmet; Kosar, Tevfik

    2010-10-27T23:59:59.000Z

    Data transfer in distributed environment is prone to frequent failures resulting from back-end system level problems, like connectivity failure which is technically untraceable by users. Error messages are not logged efficiently, and sometimes are not relevant/useful from users point-of-view. Our study explores the possibility of an efficient error detection and reporting system for such environments. Prior knowledge about the environment and awareness of the actual reason behind a failure would enable higher level planners to make better and accurate decisions. It is necessary to have well defined error detection and error reporting methods to increase the usability and serviceability of existing data transfer protocols and data management systems. We investigate the applicability of early error detection and error classification techniques and propose an error reporting framework and a failure-aware data transfer life cycle to improve arrangement of data transfer operations and to enhance decision making of data transfer schedulers.

  5. Theoretical analysis of error transfer from surface slope to refractive ray and their application to the solar concentrated collector

    E-Print Network [OSTI]

    Huang, Weidong

    2011-01-01T23:59:59.000Z

    This paper presents the general equation to calculate the standard deviation of reflected ray error from optical error through geometry optics, applying the equation to calculate the standard deviation of reflected ray error for 8 kinds of solar concentrated reflector, provide typical results. The results indicate that the slope errors in two direction is transferred to any one direction of the focus ray when the incidence angle is more than 0 for solar trough and heliostats reflector; for point focus Fresnel lens, point focus parabolic glass mirror, line focus parabolic galss mirror, the error transferring coefficient from optical to focus ray will increase when the rim angle increase; for TIR-R concentrator, it will decrease; for glass heliostat, it relates to the incidence angle and azimuth of the reflecting point. Keywords: optic error, standard deviation, refractive ray error, concentrated solar collector

  6. Quantum error-correcting codes and devices

    DOE Patents [OSTI]

    Gottesman, Daniel (Los Alamos, NM)

    2000-10-03T23:59:59.000Z

    A method of forming quantum error-correcting codes by first forming a stabilizer for a Hilbert space. A quantum information processing device can be formed to implement such quantum codes.

  7. Organizational Errors: Directions for Future Research

    E-Print Network [OSTI]

    Carroll, John Stephen

    The goal of this chapter is to promote research about organizational errors—i.e., the actions of multiple organizational participants that deviate from organizationally specified rules and can potentially result in adverse ...

  8. Quantum Error Correction for Quantum Memories

    E-Print Network [OSTI]

    Barbara M. Terhal

    2015-01-20T23:59:59.000Z

    Active quantum error correction using qubit stabilizer codes has emerged as a promising, but experimentally challenging, engineering program for building a universal quantum computer. In this review we consider the formalism of qubit stabilizer and subsystem stabilizer codes and their possible use in protecting quantum information in a quantum memory. We review the theory of fault-tolerance and quantum error-correction, discuss examples of various codes and code constructions, the general quantum error correction conditions, the noise threshold, the special role played by Clifford gates and the route towards fault-tolerant universal quantum computation. The second part of the review is focused on providing an overview of quantum error correction using two-dimensional (topological) codes, in particular the surface code architecture. We discuss the complexity of decoding and the notion of passive or self-correcting quantum memories. The review does not focus on a particular technology but discusses topics that will be relevant for various quantum technologies.

  9. Parameters and error of a theoretical model

    SciTech Connect (OSTI)

    Moeller, P.; Nix, J.R.; Swiatecki, W.

    1986-09-01T23:59:59.000Z

    We propose a definition for the error of a theoretical model of the type whose parameters are determined from adjustment to experimental data. By applying a standard statistical method, the maximum-likelihoodlmethod, we derive expressions for both the parameters of the theoretical model and its error. We investigate the derived equations by solving them for simulated experimental and theoretical quantities generated by use of random number generators. 2 refs., 4 tabs.

  10. An analysis of the accuracy of relative permeability 

    E-Print Network [OSTI]

    Tao, Teh-Ming

    1982-01-01T23:59:59.000Z

    Properties Used in Sample Study. . . 2. Summary of Cases Run 34 3. Summary of Sample Properties. 36 4. Comparison of the Relative Error 51 5. Error in Water Infection Rate. 57 6. Influence of Different Magnitude of Measurement Error. 75 LIST QF FIGURES.... Pressure Variation. 27 8. Simulated Measurement Errors. 31 Estimation Deviation Distribution of k for Cases 1, 5, 6, 7. 41 10 Estimation Deviation Distribution of k for Cases 1, 5, 6, 7. 42 Standard Deviation Distribution of Oil Relative Permeability...

  11. A systems approach to reducing utility billing errors

    E-Print Network [OSTI]

    Ogura, Nori

    2013-01-01T23:59:59.000Z

    Many methods for analyzing the possibility of errors are practiced by organizations who are concerned about safety and error prevention. However, in situations where the error occurrence is random and difficult to track, ...

  12. Error Detection and Recovery for Robot Motion Planning with Uncertainty

    E-Print Network [OSTI]

    Donald, Bruce Randall

    1987-07-01T23:59:59.000Z

    Robots must plan and execute tasks in the presence of uncertainty. Uncertainty arises from sensing errors, control errors, and uncertainty in the geometry of the environment. The last, which is called model error, has ...

  13. Error propagation equations for estimating the uncertainty in high-speed wind tunnel test results

    SciTech Connect (OSTI)

    Clark, E.L.

    1994-07-01T23:59:59.000Z

    Error propagation equations, based on the Taylor series model, are derived for the nondimensional ratios and coefficients most often encountered in high-speed wind tunnel testing. These include pressure ratio and coefficient, static force and moment coefficients, dynamic stability coefficients, and calibration Mach number. The error equations contain partial derivatives, denoted as sensitivity coefficients, which define the influence of free-steam Mach number, M{infinity}, on various aerodynamic ratios. To facilitate use of the error equations, sensitivity coefficients are derived and evaluated for five fundamental aerodynamic ratios which relate free-steam test conditions to a reference condition.

  14. Running jobs error: "inet_arp_address_lookup"

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

    jobs error: "inetarpaddresslookup" Resolved: Running jobs error: "inetarpaddresslookup" September 22, 2013 by Helen He (0 Comments) Symptom: After the Hopper August 14...

  15. Global Error bounds for systems of convex polynomials over ...

    E-Print Network [OSTI]

    2011-11-11T23:59:59.000Z

    This paper is devoted to study the Lipschitzian/Holderian type global error ...... set is not neccessarily compact, we obtain the Hölder global error bound result.

  16. Estimating the error in simulation prediction over the design space

    SciTech Connect (OSTI)

    Shinn, R. (Rachel); Hemez, F. M. (François M.); Doebling, S. W. (Scott W.)

    2003-01-01T23:59:59.000Z

    This study addresses the assessrnent of accuracy of simulation predictions. A procedure is developed to validate a simple non-linear model defined to capture the hardening behavior of a foam material subjected to a short-duration transient impact. Validation means that the predictive accuracy of the model must be established, not just in the vicinity of a single testing condition, but for all settings or configurations of the system. The notion of validation domain is introduced to designate the design region where the model's predictive accuracy is appropriate for the application of interest. Techniques brought to bear to assess the model's predictive accuracy include test-analysis coi-relation, calibration, bootstrapping and sampling for uncertainty propagation and metamodeling. The model's predictive accuracy is established by training a metalnodel of prediction error. The prediction error is not assumed to be systcmatic. Instead, it depends on which configuration of the system is analyzed. Finally, the prediction error's confidence bounds are estimated by propagating the uncertainty associated with specific modeling assumptions.

  17. Optimal error estimates for corrected trapezoidal rules

    E-Print Network [OSTI]

    Talvila, Erik

    2012-01-01T23:59:59.000Z

    Corrected trapezoidal rules are proved for $\\int_a^b f(x)\\,dx$ under the assumption that $f"\\in L^p([a,b])$ for some $1\\leq p\\leq\\infty$. Such quadrature rules involve the trapezoidal rule modified by the addition of a term $k[f'(a)-f'(b)]$. The coefficient $k$ in the quadrature formula is found that minimizes the error estimates. It is shown that when $f'$ is merely assumed to be continuous then the optimal rule is the trapezoidal rule itself. In this case error estimates are in terms of the Alexiewicz norm. This includes the case when $f"$ is integrable in the Henstock--Kurzweil sense or as a distribution. All error estimates are shown to be sharp for the given assumptions on $f"$. It is shown how to make these formulas exact for all cubic polynomials $f$. Composite formulas are computed for uniform partitions.

  18. Running head: STEREOTYPE THREAT REDUCES MEMORY ERRORS Stereotype threat can reduce older adults' memory errors

    E-Print Network [OSTI]

    Mather, Mara

    Running head: STEREOTYPE THREAT REDUCES MEMORY ERRORS Stereotype threat can reduce older adults, 90089-0191. Phone: 213-740-6772. Email: barbersa@usc.edu #12;STEREOTYPE THREAT REDUCES MEMORY ERRORS 2 Abstract (144 words) Stereotype threat often incurs the cost of reducing the amount of information

  19. Uncertainty and error in computational simulations

    SciTech Connect (OSTI)

    Oberkampf, W.L.; Diegert, K.V.; Alvin, K.F.; Rutherford, B.M.

    1997-10-01T23:59:59.000Z

    The present paper addresses the question: ``What are the general classes of uncertainty and error sources in complex, computational simulations?`` This is the first step of a two step process to develop a general methodology for quantitatively estimating the global modeling and simulation uncertainty in computational modeling and simulation. The second step is to develop a general mathematical procedure for representing, combining and propagating all of the individual sources through the simulation. The authors develop a comprehensive view of the general phases of modeling and simulation. The phases proposed are: conceptual modeling of the physical system, mathematical modeling of the system, discretization of the mathematical model, computer programming of the discrete model, numerical solution of the model, and interpretation of the results. This new view is built upon combining phases recognized in the disciplines of operations research and numerical solution methods for partial differential equations. The characteristics and activities of each of these phases is discussed in general, but examples are given for the fields of computational fluid dynamics and heat transfer. They argue that a clear distinction should be made between uncertainty and error that can arise in each of these phases. The present definitions for uncertainty and error are inadequate and. therefore, they propose comprehensive definitions for these terms. Specific classes of uncertainty and error sources are then defined that can occur in each phase of modeling and simulation. The numerical sources of error considered apply regardless of whether the discretization procedure is based on finite elements, finite volumes, or finite differences. To better explain the broad types of sources of uncertainty and error, and the utility of their categorization, they discuss a coupled-physics example simulation.

  20. Laser Phase Errors in Seeded FELs

    SciTech Connect (OSTI)

    Ratner, D.; Fry, A.; Stupakov, G.; White, W.; /SLAC

    2012-03-28T23:59:59.000Z

    Harmonic seeding of free electron lasers has attracted significant attention from the promise of transform-limited pulses in the soft X-ray region. Harmonic multiplication schemes extend seeding to shorter wavelengths, but also amplify the spectral phase errors of the initial seed laser, and may degrade the pulse quality. In this paper we consider the effect of seed laser phase errors in high gain harmonic generation and echo-enabled harmonic generation. We use simulations to confirm analytical results for the case of linearly chirped seed lasers, and extend the results for arbitrary seed laser envelope and phase.

  1. On the Error in QR Integration

    E-Print Network [OSTI]

    Dieci, Luca; Van Vleck, Erik

    2008-03-07T23:59:59.000Z

    ] . . . [R(t2, t1) +E2][R(t1, t0) +E1]R(t0) , k = 1, 2, . . . , where Q(tk) is the exact Q-factor at tk and the triangular transitions R(tj , tj?1) are also the exact ones. Moreover, the factors Ej , j = 1, . . . , k, are bounded in norm by the local error... committed during integration of the relevant differential equations; see Theorems 3.1 and 3.16.” We will henceforth simply write (2.7) ?Ej? ? ?, j = 1, 2, . . . , and stress that ? is computable, in fact controllable, in terms of local error tolerances...

  2. High Performance Dense Linear System Solver with Soft Error Resilience

    E-Print Network [OSTI]

    Dongarra, Jack

    High Performance Dense Linear System Solver with Soft Error Resilience Peng Du, Piotr Luszczek systems, and in some scientific applications C/R is not applicable for soft error at all due to error) high performance dense linear system solver with soft error resilience. By adopting a mathematical

  3. Distribution of Wind Power Forecasting Errors from Operational Systems (Presentation)

    SciTech Connect (OSTI)

    Hodge, B. M.; Ela, E.; Milligan, M.

    2011-10-01T23:59:59.000Z

    This presentation offers new data and statistical analysis of wind power forecasting errors in operational systems.

  4. Verifying Volume Rendering Using Discretization Error Analysis

    E-Print Network [OSTI]

    Kirby, Mike

    Verifying Volume Rendering Using Discretization Error Analysis Tiago Etiene, Daniel Jo¨nsson, Timo--We propose an approach for verification of volume rendering correctness based on an analysis of the volume rendering integral, the basis of most DVR algorithms. With respect to the most common discretization

  5. MEASUREMENT AND CORRECTION OF ULTRASONIC ANEMOMETER ERRORS

    E-Print Network [OSTI]

    Heinemann, Detlev

    commonly show systematic errors depending on wind speed due to inaccurate ultrasonic transducer mounting three- dimensional wind speed time series. Results for the variance and power spectra are shown. 1 wind speeds with ultrasonic anemometers: The measu- red flow is distorted by the probe head

  6. Hierarchical Classification of Documents with Error Control

    E-Print Network [OSTI]

    King, Kuo Chin Irwin

    Hierarchical Classification of Documents with Error Control Chun-hung Cheng1 , Jian Tang2 , Ada Wai is a function that matches a new object with one of the predefined classes. Document classification is characterized by the large number of attributes involved in the objects (documents). The traditional method

  7. Hierarchical Classification of Documents with Error Control

    E-Print Network [OSTI]

    Fu, Ada Waichee

    Hierarchical Classification of Documents with Error Control Chun­hung Cheng 1 , Jian Tang 2 , Ada. Classification is a function that matches a new object with one of the predefined classes. Document classification is characterized by the large number of attributes involved in the objects (documents

  8. Shared Dosimetry Error in Epidemiological Dose-Response Analyses

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

    Stram, Daniel O.; Preston, Dale L.; Sokolnikov, Mikhail; Napier, Bruce; Kopecky, Kenneth J.; Boice, John; Beck, Harold; Till, John; Bouville, Andre; Zeeb, Hajo

    2015-03-23T23:59:59.000Z

    Radiation dose reconstruction systems for large-scale epidemiological studies are sophisticated both in providing estimates of dose and in representing dosimetry uncertainty. For example, a computer program was used by the Hanford Thyroid Disease Study to provide 100 realizations of possible dose to study participants. The variation in realizations reflected the range of possible dose for each cohort member consistent with the data on dose determinates in the cohort. Another example is the Mayak Worker Dosimetry System 2013 which estimates both external and internal exposures and provides multiple realizations of "possible" dose history to workers given dose determinants. This paper takesmore »up the problem of dealing with complex dosimetry systems that provide multiple realizations of dose in an epidemiologic analysis. In this paper we derive expected scores and the information matrix for a model used widely in radiation epidemiology, namely the linear excess relative risk (ERR) model that allows for a linear dose response (risk in relation to radiation) and distinguishes between modifiers of background rates and of the excess risk due to exposure. We show that treating the mean dose for each individual (calculated by averaging over the realizations) as if it was true dose (ignoring both shared and unshared dosimetry errors) gives asymptotically unbiased estimates (i.e. the score has expectation zero) and valid tests of the null hypothesis that the ERR slope ? is zero. Although the score is unbiased the information matrix (and hence the standard errors of the estimate of ?) is biased for ?6¼0 when ignoring errors in dose estimates, and we show how to adjust the information matrix to remove this bias, using the multiple realizations of dose. The use of these methods in the context of several studies including, the MayakWorker Cohort, and the U.S. Atomic Veterans Study, is discussed.« less

  9. Demonstration Integrated Knowledge-Based System for Estimating Human Error Probabilities

    SciTech Connect (OSTI)

    Auflick, Jack L.

    1999-04-21T23:59:59.000Z

    Human Reliability Analysis (HRA) is currently comprised of at least 40 different methods that are used to analyze, predict, and evaluate human performance in probabilistic terms. Systematic HRAs allow analysts to examine human-machine relationships, identify error-likely situations, and provide estimates of relative frequencies for human errors on critical tasks, highlighting the most beneficial areas for system improvements. Unfortunately, each of HRA's methods has a different philosophical approach, thereby producing estimates of human error probabilities (HEPs) that area better or worse match to the error likely situation of interest. Poor selection of methodology, or the improper application of techniques can produce invalid HEP estimates, where that erroneous estimation of potential human failure could have potentially severe consequences in terms of the estimated occurrence of injury, death, and/or property damage.

  10. Quantum Latin squares and unitary error bases

    E-Print Network [OSTI]

    Benjamin Musto; Jamie Vicary

    2015-04-10T23:59:59.000Z

    In this paper we introduce quantum Latin squares, combinatorial quantum objects which generalize classical Latin squares, and investigate their applications in quantum computer science. Our main results are on applications to unitary error bases (UEBs), basic structures in quantum information which lie at the heart of procedures such as teleportation, dense coding and error correction. We present a new method for constructing a UEB from a quantum Latin square equipped with extra data. Developing construction techniques for UEBs has been a major activity in quantum computation, with three primary methods proposed: shift-and-multiply, Hadamard, and algebraic. We show that our new approach simultaneously generalizes the shift-and-multiply and Hadamard methods. Furthermore, we explicitly construct a UEB using our technique which we prove cannot be obtained from any of these existing methods.

  11. Efficient Error Calculation for Multiresolution Texture-Based Volume Visualization

    SciTech Connect (OSTI)

    LaMar, E; Hamann, B; Joy, K I

    2001-10-16T23:59:59.000Z

    Multiresolution texture-based volume visualization is an excellent technique to enable interactive rendering of massive data sets. Interactive manipulation of a transfer function is necessary for proper exploration of a data set. However, multiresolution techniques require assessing the accuracy of the resulting images, and re-computing the error after each change in a transfer function is very expensive. They extend their existing multiresolution volume visualization method by introducing a method for accelerating error calculations for multiresolution volume approximations. Computing the error for an approximation requires adding individual error terms. One error value must be computed once for each original voxel and its corresponding approximating voxel. For byte data, i.e., data sets where integer function values between 0 and 255 are given, they observe that the set of error pairs can be quite large, yet the set of unique error pairs is small. instead of evaluating the error function for each original voxel, they construct a table of the unique combinations and the number of their occurrences. To evaluate the error, they add the products of the error function for each unique error pair and the frequency of each error pair. This approach dramatically reduces the amount of computation time involved and allows them to re-compute the error associated with a new transfer function quickly.

  12. Sorbent Testing for the Solidification of Organic Process Waste streams from the Radiochemical Engineering Development Center at Oak Ridge National Laboratory

    SciTech Connect (OSTI)

    Bickford, J.; Foote, M. [MSE Technology Applications, Inc., Montana (United States); Taylor, P. [Oak Ridge National Laboratory, Oak Ridge, Tennessee (United States)

    2008-07-01T23:59:59.000Z

    The U.S. Department of Energy (DOE) has tasked MSE Technology Applications, Inc. (MSE) with evaluating various sorbents to solidify the radioactive liquid organic waste from the Radiochemical Engineering Development Center (REDC) at Oak Ridge National Laboratory (ORNL). REDC recovers and purifies heavy elements (berkelium, californium, einsteinium, and fermium) from irradiated targets for research and industrial applications. Both aqueous and organic waste streams are discharged from REDC. Organic waste is generated from the plutonium/uranium extraction (PUREX), Cleanex, and Pubex processes.1 The PUREX waste derives from an organic-aqueous isotope separation process for plutonium and uranium fission products, the Cleanex waste derives from the removal of fission products and other impurities from the americium/curium product, and the Pubex waste is derived from the separation process of plutonium from dissolved targets. An aqueous waste stream is also produced from these separation processes. MSE has been tasked to test a grouting formula for the aqueous waste stream that includes specially formulated radioactive shielding materials developed by Science and Technology Applications, LLC. This paper will focus on the sorbent testing work. Based on work performed at Savannah River Site (SRS) (Refs. 1, 2), ORNL tested and evaluated three sorbents capable of solidifying the PUREX, Pubex, and Cleanex waste streams and a composite of the three organic waste streams: Imbiber Beads{sup R} IMB230301 (Imbiber Beads), Nochar A610 Petro Bond, and Petroset II Granular{sup TM} (Petroset II-G). Surrogates of the PUREX, Pubex, Cleanex, and a composite organic waste were used for the bench-scale testing. Recommendations resulting from the ORNL testing included follow-on testing by MSE for two of the three sorbents: Nochar Petro Bond and Petroset II-G. MSE recommended that another clay sorbent, Organoclay BM-QT-199, be added to the test sequence. The sorbent/surrogate combinations were tested at bench scale, 19-liter (L) [5-gallon (gal)] bucket scale, and 208-L (55-gal) drum scale. The testing performed by MSE will help ORNL select the right solidification materials and wasteform generation methods for the design of a new treatment facility. The results could also be used to help demonstrate that ORNL could meet the waste acceptance criteria for the ultimate disposal site for the waste-forms. The organics will be solidified as transuranic waste for disposal at the Waste Isolation Pilot Plant, and the aqueous waste stream will be grouted and disposed of at the Nevada Test Site as low-level waste if real waste testing indicates similar results to the surrogate testing. The objective of this work was to identify a sorbent capable of solidifying PUREX, Pubex, and Cleanex organic wastes individually and a composite of the three organic waste streams. The sorbent and surrogate combinations must also be compatible with processing equipment and maintain stability under a variety of conditions that could occur during storage/shipment of the solidified wastes. (authors)

  13. Verification of unfold error estimates in the UFO code

    SciTech Connect (OSTI)

    Fehl, D.L.; Biggs, F.

    1996-07-01T23:59:59.000Z

    Spectral unfolding is an inverse mathematical operation which attempts to obtain spectral source information from a set of tabulated response functions and data measurements. Several unfold algorithms have appeared over the past 30 years; among them is the UFO (UnFold Operator) code. In addition to an unfolded spectrum, UFO also estimates the unfold uncertainty (error) induced by running the code in a Monte Carlo fashion with prescribed data distributions (Gaussian deviates). In the problem studied, data were simulated from an arbitrarily chosen blackbody spectrum (10 keV) and a set of overlapping response functions. The data were assumed to have an imprecision of 5% (standard deviation). 100 random data sets were generated. The built-in estimate of unfold uncertainty agreed with the Monte Carlo estimate to within the statistical resolution of this relatively small sample size (95% confidence level). A possible 10% bias between the two methods was unresolved. The Monte Carlo technique is also useful in underdetemined problems, for which the error matrix method does not apply. UFO has been applied to the diagnosis of low energy x rays emitted by Z-Pinch and ion-beam driven hohlraums.

  14. Reply To "Comment on 'Quantum Convolutional Error-Correcting Codes' "

    E-Print Network [OSTI]

    H. F. Chau

    2005-06-02T23:59:59.000Z

    In their comment, de Almedia and Palazzo \\cite{comment} discovered an error in my earlier paper concerning the construction of quantum convolutional codes (quant-ph/9712029). This error can be repaired by modifying the method of code construction.

  15. Human error contribution to nuclear materials-handling events

    E-Print Network [OSTI]

    Sutton, Bradley (Bradley Jordan)

    2007-01-01T23:59:59.000Z

    This thesis analyzes a sample of 15 fuel-handling events from the past ten years at commercial nuclear reactors with significant human error contributions in order to detail the contribution of human error to fuel-handling ...

  16. Evolved Error Management Biases in the Attribution of Anger

    E-Print Network [OSTI]

    Galperin, Andrew

    2012-01-01T23:59:59.000Z

    von Hippel, W. , Poore, J. C. , Buss, D. M. , et al. (under27, 733-763. Haselton, M. G. , & Buss, D. M. (2000). Error27, 733-763. Haselton, M. G. , & Buss, D. M. (2000). Error

  17. Clustered Error Correction of Codeword-Stabilized Quantum Codes

    E-Print Network [OSTI]

    Yunfan Li; Ilya Dumer; Leonid P. Pryadko

    2010-03-08T23:59:59.000Z

    Codeword stabilized (CWS) codes are a general class of quantum codes that includes stabilizer codes and many families of non-additive codes with good parameters. For such a non-additive code correcting all t-qubit errors, we propose an algorithm that employs a single measurement to test all errors located on a given set of t qubits. Compared with exhaustive error screening, this reduces the total number of measurements required for error recovery by a factor of about 3^t.

  18. Efficient Semiparametric Estimators for Biological, Genetic, and Measurement Error Applications

    E-Print Network [OSTI]

    Garcia, Tanya

    2012-10-19T23:59:59.000Z

    to the models considered in Tsiatis and Ma (2004), our model is less stringent because it allows an unspecified model error distribution and unspecified covariate distribution, not just the latter. With an unspecified model error distribution, the RMM... with measurement error is a very different problem compared to the model considered in Tsiatis and Ma (2004), where the model error distribution has a known parametric form. Consequently, the semiparamet- ric treatment here is also drastically different. Our...

  19. Error Analysis in Nuclear Density Functional Theory

    E-Print Network [OSTI]

    Nicolas Schunck; Jordan D. McDonnell; Jason Sarich; Stefan M. Wild; Dave Higdon

    2014-07-11T23:59:59.000Z

    Nuclear density functional theory (DFT) is the only microscopic, global approach to the structure of atomic nuclei. It is used in numerous applications, from determining the limits of stability to gaining a deep understanding of the formation of elements in the universe or the mechanisms that power stars and reactors. The predictive power of the theory depends on the amount of physics embedded in the energy density functional as well as on efficient ways to determine a small number of free parameters and solve the DFT equations. In this article, we discuss the various sources of uncertainties and errors encountered in DFT and possible methods to quantify these uncertainties in a rigorous manner.

  20. Franklin Trouble Shooting and Error Messages

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of Science (SC) Environmental Assessments (EA)Budget(DANCE) TargetFormsTrouble Shooting and Error

  1. Edison Trouble Shooting and Error Messages

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625govInstrumentstdmadapInactiveVisitingContract ManagementDiscoveringESnet UpdateEarthTrouble Shooting and Error

  2. Susceptibility of Commodity Systems and Software to Memory Soft Errors

    E-Print Network [OSTI]

    Riska, Alma

    Susceptibility of Commodity Systems and Software to Memory Soft Errors Alan Messer, Member, IEEE Abstract--It is widely understood that most system downtime is acounted for by programming errors transient errors in computer system hardware due to external factors, such as cosmic rays. This work

  3. A Taxonomy of Number Entry Error Sarah Wiseman

    E-Print Network [OSTI]

    Cairns, Paul

    A Taxonomy of Number Entry Error Sarah Wiseman UCLIC MPEB, Malet Place London, WC1E 7JE sarah and the subsequent process of creating a taxonomy of errors from the information gathered. A total of 350 errors were. These codes are then organised into a taxonomy similar to that of Zhang et al (2004). We show how

  4. A Taxonomy of Number Entry Error Sarah Wiseman

    E-Print Network [OSTI]

    Subramanian, Sriram

    A Taxonomy of Number Entry Error Sarah Wiseman UCLIC MPEB, Malet Place London, WC1E 7JE sarah and the subsequent process of creating a taxonomy of errors from the information gathered. A total of 345 errors were. These codes are then organised into a taxonomy similar to that of Zhang et al (2004). We show how

  5. Predictors of Threat and Error Management: Identification of Core

    E-Print Network [OSTI]

    Predictors of Threat and Error Management: Identification of Core Nontechnical Skills In normal flight operations, crews are faced with a variety of external threats and commit a range of errors of these threats and errors therefore forms an essential element of enhancing performance and minimizing risk

  6. Error rate and power dissipation in nano-logic devices

    E-Print Network [OSTI]

    Kim, Jong Un

    2004-01-01T23:59:59.000Z

    Current-controlled logic and single electron logic processors have been investigated with respect to thermal-induced bit error. A maximal error rate for both logic processors is regarded as one bit-error/year/chip. A maximal clock frequency...

  7. Bolstered Error Estimation Ulisses Braga-Neto a,c

    E-Print Network [OSTI]

    Braga-Neto, Ulisses

    the bolstered error estimators proposed in this paper, as part of a larger library for classification and error of the data. It has a direct geometric interpretation and can be easily applied to any classification rule as smoothed error estimation. In some important cases, such as a linear classification rule with a Gaussian

  8. An Improved Technique for Reducing False Alarms Due to Soft Errors A significant fraction of soft errors in modern

    E-Print Network [OSTI]

    Polian, Ilia

    of soft errors in modern microprocessors has been reported to never lead to a system failure. Any techniques are enhanced by a methodology to handle soft errors on address bits. Furthermore, we demonstrate]. Consequently, many state-of-the art systems provide soft error detection and correction capabilities [Hass 89

  9. Psychological scaling of expert estimates of human error probabilities: application to nuclear power plant operation

    SciTech Connect (OSTI)

    Comer, K.; Gaddy, C.D.; Seaver, D.A.; Stillwell, W.G.

    1985-01-01T23:59:59.000Z

    The US Nuclear Regulatory Commission and Sandia National Laboratories sponsored a project to evaluate psychological scaling techniques for use in generating estimates of human error probabilities. The project evaluated two techniques: direct numerical estimation and paired comparisons. Expert estimates were found to be consistent across and within judges. Convergent validity was good, in comparison to estimates in a handbook of human reliability. Predictive validity could not be established because of the lack of actual relative frequencies of error (which will be a difficulty inherent in validation of any procedure used to estimate HEPs). Application of expert estimates in probabilistic risk assessment and in human factors is discussed.

  10. Technological Advancements and Error Rates in Radiation Therapy Delivery

    SciTech Connect (OSTI)

    Margalit, Danielle N., E-mail: dmargalit@partners.org [Harvard Radiation Oncology Program, Boston, MA (United States); Harvard Cancer Consortium and Brigham and Women's Hospital/Dana Farber Cancer Institute, Boston, MA (United States); Chen, Yu-Hui; Catalano, Paul J.; Heckman, Kenneth; Vivenzio, Todd; Nissen, Kristopher; Wolfsberger, Luciant D.; Cormack, Robert A.; Mauch, Peter; Ng, Andrea K. [Harvard Cancer Consortium and Brigham and Women's Hospital/Dana Farber Cancer Institute, Boston, MA (United States)

    2011-11-15T23:59:59.000Z

    Purpose: Technological advances in radiation therapy (RT) delivery have the potential to reduce errors via increased automation and built-in quality assurance (QA) safeguards, yet may also introduce new types of errors. Intensity-modulated RT (IMRT) is an increasingly used technology that is more technically complex than three-dimensional (3D)-conformal RT and conventional RT. We determined the rate of reported errors in RT delivery among IMRT and 3D/conventional RT treatments and characterized the errors associated with the respective techniques to improve existing QA processes. Methods and Materials: All errors in external beam RT delivery were prospectively recorded via a nonpunitive error-reporting system at Brigham and Women's Hospital/Dana Farber Cancer Institute. Errors are defined as any unplanned deviation from the intended RT treatment and are reviewed during monthly departmental quality improvement meetings. We analyzed all reported errors since the routine use of IMRT in our department, from January 2004 to July 2009. Fisher's exact test was used to determine the association between treatment technique (IMRT vs. 3D/conventional) and specific error types. Effect estimates were computed using logistic regression. Results: There were 155 errors in RT delivery among 241,546 fractions (0.06%), and none were clinically significant. IMRT was commonly associated with errors in machine parameters (nine of 19 errors) and data entry and interpretation (six of 19 errors). IMRT was associated with a lower rate of reported errors compared with 3D/conventional RT (0.03% vs. 0.07%, p = 0.001) and specifically fewer accessory errors (odds ratio, 0.11; 95% confidence interval, 0.01-0.78) and setup errors (odds ratio, 0.24; 95% confidence interval, 0.08-0.79). Conclusions: The rate of errors in RT delivery is low. The types of errors differ significantly between IMRT and 3D/conventional RT, suggesting that QA processes must be uniquely adapted for each technique. There was a lower error rate with IMRT compared with 3D/conventional RT, highlighting the need for sustained vigilance against errors common to more traditional treatment techniques.

  11. Locked modes and magnetic field errors in MST

    SciTech Connect (OSTI)

    Almagri, A.F.; Assadi, S.; Prager, S.C.; Sarff, J.S.; Kerst, D.W.

    1992-06-01T23:59:59.000Z

    In the MST reversed field pinch magnetic oscillations become stationary (locked) in the lab frame as a result of a process involving interactions between the modes, sawteeth, and field errors. Several helical modes become phase locked to each other to form a rotating localized disturbance, the disturbance locks to an impulsive field error generated at a sawtooth crash, the error fields grow monotonically after locking (perhaps due to an unstable interaction between the modes and field error), and over the tens of milliseconds of growth confinement degrades and the discharge eventually terminates. Field error control has been partially successful in eliminating locking.

  12. EFFECT OF MEASUREMENT ERRORS ON PREDICTED COSMOLOGICAL CONSTRAINTS FROM SHEAR PEAK STATISTICS WITH LARGE SYNOPTIC SURVEY TELESCOPE

    SciTech Connect (OSTI)

    Bard, D.; Chang, C.; Kahn, S. M.; Gilmore, K.; Marshall, S. [KIPAC, Stanford University, 452 Lomita Mall, Stanford, CA 94309 (United States); Kratochvil, J. M.; Huffenberger, K. M. [Department of Physics, University of Miami, Coral Gables, FL 33124 (United States); May, M. [Physics Department, Brookhaven National Laboratory, Upton, NY 11973 (United States); AlSayyad, Y.; Connolly, A.; Gibson, R. R.; Jones, L.; Krughoff, S. [Department of Astronomy, University of Washington, Seattle, WA 98195 (United States); Ahmad, Z.; Bankert, J.; Grace, E.; Hannel, M.; Lorenz, S. [Department of Physics, Purdue University, West Lafayette, IN 47907 (United States); Haiman, Z.; Jernigan, J. G., E-mail: djbard@slac.stanford.edu [Department of Astronomy and Astrophysics, Columbia University, New York, NY 10027 (United States); and others

    2013-09-01T23:59:59.000Z

    We study the effect of galaxy shape measurement errors on predicted cosmological constraints from the statistics of shear peak counts with the Large Synoptic Survey Telescope (LSST). We use the LSST Image Simulator in combination with cosmological N-body simulations to model realistic shear maps for different cosmological models. We include both galaxy shape noise and, for the first time, measurement errors on galaxy shapes. We find that the measurement errors considered have relatively little impact on the constraining power of shear peak counts for LSST.

  13. Evaluating and Minimizing Distributed Cavity Phase Errors in Atomic Clocks

    E-Print Network [OSTI]

    Li, Ruoxin

    2010-01-01T23:59:59.000Z

    We perform 3D finite element calculations of the fields in microwave cavities and analyze the distributed cavity phase errors of atomic clocks that they produce. The fields of cylindrical cavities are treated as an azimuthal Fourier series. Each of the lowest components produces clock errors with unique characteristics that must be assessed to establish a clock's accuracy. We describe the errors and how to evaluate them. We prove that sharp structures in the cavity do not produce large frequency errors, even at moderately high powers, provided the atomic density varies slowly. We model the amplitude and phase imbalances of the feeds. For larger couplings, these can lead to increased phase errors. We show that phase imbalances produce a novel distributed cavity phase error that depends on the cavity detuning. We also design improved cavities by optimizing the geometry and tuning the mode spectrum so that there are negligible phase variations, allowing this source of systematic error to be dramatically reduced.

  14. Evaluating and Minimizing Distributed Cavity Phase Errors in Atomic Clocks

    E-Print Network [OSTI]

    Ruoxin Li; Kurt Gibble

    2010-08-09T23:59:59.000Z

    We perform 3D finite element calculations of the fields in microwave cavities and analyze the distributed cavity phase errors of atomic clocks that they produce. The fields of cylindrical cavities are treated as an azimuthal Fourier series. Each of the lowest components produces clock errors with unique characteristics that must be assessed to establish a clock's accuracy. We describe the errors and how to evaluate them. We prove that sharp structures in the cavity do not produce large frequency errors, even at moderately high powers, provided the atomic density varies slowly. We model the amplitude and phase imbalances of the feeds. For larger couplings, these can lead to increased phase errors. We show that phase imbalances produce a novel distributed cavity phase error that depends on the cavity detuning. We also design improved cavities by optimizing the geometry and tuning the mode spectrum so that there are negligible phase variations, allowing this source of systematic error to be dramatically reduced.

  15. In Search of a Taxonomy for Classifying Qualitative Spreadsheet Errors

    E-Print Network [OSTI]

    Przasnyski, Zbigniew; Seal, Kala Chand

    2011-01-01T23:59:59.000Z

    Most organizations use large and complex spreadsheets that are embedded in their mission-critical processes and are used for decision-making purposes. Identification of the various types of errors that can be present in these spreadsheets is, therefore, an important control that organizations can use to govern their spreadsheets. In this paper, we propose a taxonomy for categorizing qualitative errors in spreadsheet models that offers a framework for evaluating the readiness of a spreadsheet model before it is released for use by others in the organization. The classification was developed based on types of qualitative errors identified in the literature and errors committed by end-users in developing a spreadsheet model for Panko's (1996) "Wall problem". Closer inspection of the errors reveals four logical groupings of the errors creating four categories of qualitative errors. The usability and limitations of the proposed taxonomy and areas for future extension are discussed.

  16. Analysis of Errors in a Special Perturbations Satellite Orbit Propagator

    SciTech Connect (OSTI)

    Beckerman, M.; Jones, J.P.

    1999-02-01T23:59:59.000Z

    We performed an analysis of error densities for the Special Perturbations orbit propagator using data for 29 satellites in orbits of interest to Space Shuttle and International Space Station collision avoidance. We find that the along-track errors predominate. These errors increase monotonically over each 36-hour prediction interval. The predicted positions in the along-track direction progressively either leap ahead of or lag behind the actual positions. Unlike the along-track errors the radial and cross-track errors oscillate about their nearly zero mean values. As the number of observations per fit interval decline the along-track prediction errors, and amplitudes of the radial and cross-track errors, increase.

  17. E791 DATA ACQUISITION SYSTEM Error reports received ; no new errors reported

    E-Print Network [OSTI]

    Fermi National Accelerator Laboratory

    of events written to tape. 18 #12; Error and Status Displays Mailbox For Histogram Requests Vax­online Event Display VAX 11 / 780 Event Reconstruction Event Display Detector Monitoring 3 VAX Workstations 42 EXABYTE of the entire E791 DA system. The VAX 11/780 was the user interface to the VME part of the system, via the DA

  18. Graphical Quantum Error-Correcting Codes

    E-Print Network [OSTI]

    Sixia Yu; Qing Chen; C. H. Oh

    2007-09-12T23:59:59.000Z

    We introduce a purely graph-theoretical object, namely the coding clique, to construct quantum errorcorrecting codes. Almost all quantum codes constructed so far are stabilizer (additive) codes and the construction of nonadditive codes, which are potentially more efficient, is not as well understood as that of stabilizer codes. Our graphical approach provides a unified and classical way to construct both stabilizer and nonadditive codes. In particular we have explicitly constructed the optimal ((10,24,3)) code and a family of 1-error detecting nonadditive codes with the highest encoding rate so far. In the case of stabilizer codes a thorough search becomes tangible and we have classified all the extremal stabilizer codes up to 8 qubits.

  19. Pressure Change Measurement Leak Testing Errors

    SciTech Connect (OSTI)

    Pryor, Jeff M [ORNL] [ORNL; Walker, William C [ORNL] [ORNL

    2014-01-01T23:59:59.000Z

    A pressure change test is a common leak testing method used in construction and Non-Destructive Examination (NDE). The test is known as being a fast, simple, and easy to apply evaluation method. While this method may be fairly quick to conduct and require simple instrumentation, the engineering behind this type of test is more complex than is apparent on the surface. This paper intends to discuss some of the more common errors made during the application of a pressure change test and give the test engineer insight into how to correctly compensate for these factors. The principals discussed here apply to ideal gases such as air or other monoatomic or diatomic gasses; however these same principals can be applied to polyatomic gasses or liquid flow rate with altered formula specific to those types of tests using the same methodology.

  20. Theoretical analysis of reflected ray error from surface slope error and their application to the solar concentrated collector

    E-Print Network [OSTI]

    Huang, Weidong

    2011-01-01T23:59:59.000Z

    Surface slope error of concentrator is one of the main factors to influence the performance of the solar concentrated collectors which cause deviation of reflected ray and reduce the intercepted radiation. This paper presents the general equation to calculate the standard deviation of reflected ray error from slope error through geometry optics, applying the equation to calculate the standard deviation of reflected ray error for 5 kinds of solar concentrated reflector, provide typical results. The results indicate that the slope error is transferred to the reflected ray in more than 2 folds when the incidence angle is more than 0. The equation for reflected ray error is generally fit for all reflection surfaces, and can also be applied to control the error in designing an abaxial optical system.

  1. Deterministic treatment of model error in geophysical data assimilation

    E-Print Network [OSTI]

    Carrassi, Alberto

    2015-01-01T23:59:59.000Z

    This chapter describes a novel approach for the treatment of model error in geophysical data assimilation. In this method, model error is treated as a deterministic process fully correlated in time. This allows for the derivation of the evolution equations for the relevant moments of the model error statistics required in data assimilation procedures, along with an approximation suitable for application to large numerical models typical of environmental science. In this contribution we first derive the equations for the model error dynamics in the general case, and then for the particular situation of parametric error. We show how this deterministic description of the model error can be incorporated in sequential and variational data assimilation procedures. A numerical comparison with standard methods is given using low-order dynamical systems, prototypes of atmospheric circulation, and a realistic soil model. The deterministic approach proves to be very competitive with only minor additional computational c...

  2. A two reservoir model of quantum error correction

    E-Print Network [OSTI]

    James P. Clemens; Julio Gea-Banacloche

    2005-08-22T23:59:59.000Z

    We consider a two reservoir model of quantum error correction with a hot bath causing errors in the qubits and a cold bath cooling the ancilla qubits to a fiducial state. We consider error correction protocols both with and without measurement of the ancilla state. The error correction acts as a kind of refrigeration process to maintain the data qubits in a low entropy state by periodically moving the entropy to the ancilla qubits and then to the cold reservoir. We quantify the performance of the error correction as a function of the reservoir temperatures and cooling rate by means of the fidelity and the residual entropy of the data qubits. We also make a comparison with the continuous quantum error correction model of Sarovar and Milburn [Phys. Rev. A 72 012306].

  3. Wrinkles in the rare biosphere: Pyrosequencing errors can lead to artificial inflation of diversity estimates

    SciTech Connect (OSTI)

    Kunin, Victor; Engelbrektson, Anna; Ochman, Howard; Hugenholtz, Philip

    2009-08-01T23:59:59.000Z

    Massively parallel pyrosequencing of the small subunit (16S) ribosomal RNA gene has revealed that the extent of rare microbial populations in several environments, the 'rare biosphere', is orders of magnitude higher than previously thought. One important caveat with this method is that sequencing error could artificially inflate diversity estimates. Although the per-base error of 16S rDNA amplicon pyrosequencing has been shown to be as good as or lower than Sanger sequencing, no direct assessments of pyrosequencing errors on diversity estimates have been reported. Using only Escherichia coli MG1655 as a reference template, we find that 16S rDNA diversity is grossly overestimated unless relatively stringent read quality filtering and low clustering thresholds are applied. In particular, the common practice of removing reads with unresolved bases and anomalous read lengths is insufficient to ensure accurate estimates of microbial diversity. Furthermore, common and reproducible homopolymer length errors can result in relatively abundant spurious phylotypes further confounding data interpretation. We suggest that stringent quality-based trimming of 16S pyrotags and clustering thresholds no greater than 97% identity should be used to avoid overestimates of the rare biosphere.

  4. Error Detection, Factorization and Correction for Multi-View Scene Reconstruction from Aerial Imagery

    SciTech Connect (OSTI)

    Hess-Flores, M

    2011-11-10T23:59:59.000Z

    Scene reconstruction from video sequences has become a prominent computer vision research area in recent years, due to its large number of applications in fields such as security, robotics and virtual reality. Despite recent progress in this field, there are still a number of issues that manifest as incomplete, incorrect or computationally-expensive reconstructions. The engine behind achieving reconstruction is the matching of features between images, where common conditions such as occlusions, lighting changes and texture-less regions can all affect matching accuracy. Subsequent processes that rely on matching accuracy, such as camera parameter estimation, structure computation and non-linear parameter optimization, are also vulnerable to additional sources of error, such as degeneracies and mathematical instability. Detection and correction of errors, along with robustness in parameter solvers, are a must in order to achieve a very accurate final scene reconstruction. However, error detection is in general difficult due to the lack of ground-truth information about the given scene, such as the absolute position of scene points or GPS/IMU coordinates for the camera(s) viewing the scene. In this dissertation, methods are presented for the detection, factorization and correction of error sources present in all stages of a scene reconstruction pipeline from video, in the absence of ground-truth knowledge. Two main applications are discussed. The first set of algorithms derive total structural error measurements after an initial scene structure computation and factorize errors into those related to the underlying feature matching process and those related to camera parameter estimation. A brute-force local correction of inaccurate feature matches is presented, as well as an improved conditioning scheme for non-linear parameter optimization which applies weights on input parameters in proportion to estimated camera parameter errors. Another application is in reconstruction pre-processing, where an algorithm detects and discards frames that would lead to inaccurate feature matching, camera pose estimation degeneracies or mathematical instability in structure computation based on a residual error comparison between two different match motion models. The presented algorithms were designed for aerial video but have been proven to work across different scene types and camera motions, and for both real and synthetic scenes.

  5. Trial application of a technique for human error analysis (ATHEANA)

    SciTech Connect (OSTI)

    Bley, D.C. [Buttonwood Consulting, Inc., Oakton, VA (United States); Cooper, S.E. [Science Applications International Corp., Reston, VA (United States); Parry, G.W. [NUS, Gaithersburg, MD (United States)] [and others

    1996-10-01T23:59:59.000Z

    The new method for HRA, ATHEANA, has been developed based on a study of the operating history of serious accidents and an understanding of the reasons why people make errors. Previous publications associated with the project have dealt with the theoretical framework under which errors occur and the retrospective analysis of operational events. This is the first attempt to use ATHEANA in a prospective way, to select and evaluate human errors within the PSA context.

  6. Temperature-dependent errors in nuclear lattice simulations

    E-Print Network [OSTI]

    Dean Lee; Richard Thomson

    2007-01-17T23:59:59.000Z

    We study the temperature dependence of discretization errors in nuclear lattice simulations. We find that for systems with strong attractive interactions the predominant error arises from the breaking of Galilean invariance. We propose a local "well-tempered" lattice action which eliminates much of this error. The well-tempered action can be readily implemented in lattice simulations for nuclear systems as well as cold atomic Fermi systems.

  7. Error estimates for the Euler discretization of an optimal control ...

    E-Print Network [OSTI]

    Joseph Frédéric Bonnans

    2014-12-10T23:59:59.000Z

    Dec 10, 2014 ... Abstract: We study the error introduced in the solution of an optimal control problem with first order state constraints, for which the trajectories ...

  8. Optimized Learning with Bounded Error for Feedforward Neural Networks

    E-Print Network [OSTI]

    Maggiore, Manfredi

    Optimized Learning with Bounded Error for Feedforward Neural Networks A. Alessandri, M. Sanguineti-based learnings. A. Alessandri is with the Naval Automatio

  9. New Fractional Error Bounds for Polynomial Systems with ...

    E-Print Network [OSTI]

    2014-07-27T23:59:59.000Z

    Our major result extends the existing error bounds from the system involving only a ... linear complementarity systems with polynomial data as well as high-order ...

  10. Identification of toroidal field errors in a modified betatron accelerator

    SciTech Connect (OSTI)

    Loschialpo, P. (Beam Physics Branch, Plasma Physics Division, Naval Research Laboratory, Washington, DC 20375 (United States)); Marsh, S.J. (SFA Inc., Landover, Maryland 20785 (United States)); Len, L.K.; Smith, T. (FM Technologies Inc., 10529-B Braddock Road, Fairfax, Virginia 22032 (United States)); Kapetanakos, C.A. (Beam Physics Branch, Plasma Physics Division, Naval Research Laboratory, Washington, DC 20375 (United States))

    1993-06-01T23:59:59.000Z

    A newly developed probe, having a 0.05% resolution, has been used to detect errors in the toroidal magnetic field of the NRL modified betatron accelerator. Measurements indicate that the radial field components (errors) are 0.1%--1% of the applied toroidal field. Such errors, in the typically 5 kG toroidal field, can excite resonances which drive the beam to the wall. Two sources of detected field errors are discussed. The first is due to the discrete nature of the 12 single turn coils which generate the toroidal field. Both measurements and computer calculations indicate that its amplitude varies from 0% to 0.2% as a function of radius. Displacement of the outer leg of one of the toroidal field coils by a few millimeters has a significant effect on the amplitude of this field error. Because of uniform toroidal periodicity of these coils this error is a good suspect for causing the excitation of the damaging [ital l]=12 resonance seen in our experiments. The other source of field error is due to the current feed gaps in the vertical magnetic field coils. A magnetic field is induced inside the vertical field coils' conductor in the opposite direction of the applied toroidal field. Fringe fields at the gaps lead to additional field errors which have been measured as large as 1.0%. This source of field error, which exists at five toroidal locations around the modified betatron, can excite several integer resonances, including the [ital l]=12 mode.

  11. Homological Error Correction: Classical and Quantum Codes

    E-Print Network [OSTI]

    H. Bombin; M. A. Martin-Delgado

    2006-05-10T23:59:59.000Z

    We prove several theorems characterizing the existence of homological error correction codes both classically and quantumly. Not every classical code is homological, but we find a family of classical homological codes saturating the Hamming bound. In the quantum case, we show that for non-orientable surfaces it is impossible to construct homological codes based on qudits of dimension $D>2$, while for orientable surfaces with boundaries it is possible to construct them for arbitrary dimension $D$. We give a method to obtain planar homological codes based on the construction of quantum codes on compact surfaces without boundaries. We show how the original Shor's 9-qubit code can be visualized as a homological quantum code. We study the problem of constructing quantum codes with optimal encoding rate. In the particular case of toric codes we construct an optimal family and give an explicit proof of its optimality. For homological quantum codes on surfaces of arbitrary genus we also construct a family of codes asymptotically attaining the maximum possible encoding rate. We provide the tools of homology group theory for graphs embedded on surfaces in a self-contained manner.

  12. A technique for human error analysis (ATHEANA)

    SciTech Connect (OSTI)

    Cooper, S.E.; Ramey-Smith, A.M.; Wreathall, J.; Parry, G.W. [and others

    1996-05-01T23:59:59.000Z

    Probabilistic risk assessment (PRA) has become an important tool in the nuclear power industry, both for the Nuclear Regulatory Commission (NRC) and the operating utilities. Human reliability analysis (HRA) is a critical element of PRA; however, limitations in the analysis of human actions in PRAs have long been recognized as a constraint when using PRA. A multidisciplinary HRA framework has been developed with the objective of providing a structured approach for analyzing operating experience and understanding nuclear plant safety, human error, and the underlying factors that affect them. The concepts of the framework have matured into a rudimentary working HRA method. A trial application of the method has demonstrated that it is possible to identify potentially significant human failure events from actual operating experience which are not generally included in current PRAs, as well as to identify associated performance shaping factors and plant conditions that have an observable impact on the frequency of core damage. A general process was developed, albeit in preliminary form, that addresses the iterative steps of defining human failure events and estimating their probabilities using search schemes. Additionally, a knowledge- base was developed which describes the links between performance shaping factors and resulting unsafe actions.

  13. ERROR VISUALIZATION FOR TANDEM ACOUSTIC MODELING ON THE AURORA TASK

    E-Print Network [OSTI]

    Ellis, Dan

    ERROR VISUALIZATION FOR TANDEM ACOUSTIC MODELING ON THE AURORA TASK Manuel J. Reyes. This structure reduces the error rate on the Aurora 2 noisy English digits task by more than 50% compared development of tandem systems showed an improvement in the performance on the Aurora task [2] of these systems

  14. Numerical Construction of Likelihood Distributions and the Propagation of Errors

    E-Print Network [OSTI]

    J. Swain; L. Taylor

    1997-12-12T23:59:59.000Z

    The standard method for the propagation of errors, based on a Taylor series expansion, is approximate and frequently inadequate for realistic problems. A simple and generic technique is described in which the likelihood is constructed numerically, thereby greatly facilitating the propagation of errors.

  15. Calibration and Error in Placental Molecular Clocks: A Conservative

    E-Print Network [OSTI]

    Hadly, Elizabeth

    Calibration and Error in Placental Molecular Clocks: A Conservative Approach Using for calibrating both mitogenomic and nucleogenomic placental timescales. We applied these reestimates to the most calibration error may inflate the power of the molecular clock when testing the time of ordinal

  16. Error Control of Iterative Linear Solvers for Integrated Groundwater Models

    E-Print Network [OSTI]

    Bai, Zhaojun

    gradient method or Generalized Minimum RESidual (GMRES) method, is how to choose the residual tolerance for integrated groundwater models, which are implicitly coupled to another model, such as surface water models the correspondence between the residual error in the preconditioned linear system and the solution error. Using

  17. PROPAGATION OF ERRORS IN SPATIAL ANALYSIS Peter P. Siska

    E-Print Network [OSTI]

    Hung, I-Kuai

    , the conversion of data from analog to digital form used to be an extremely time-consuming process. At present process then the resulting error is inflated up to 20 percent for each grid cell of the final map. The magnitude of errors naturally increases with an addition of every new layer entering the overlay process

  18. Error detection through consistency checking Peng Gong* Lan Mu#

    E-Print Network [OSTI]

    Silver, Whendee

    Error detection through consistency checking Peng Gong* Lan Mu# *Center for Assessment & Monitoring Hall, University of California, Berkeley, Berkeley, CA 94720-3110 gong@nature.berkeley.edu mulan, accessibility, and timeliness as recorded in the lineage data (Chen and Gong, 1998). Spatial error refers

  19. Uniform and optimal error estimates of an exponential wave ...

    E-Print Network [OSTI]

    2014-05-01T23:59:59.000Z

    of the error propagation, cut-off of the nonlinearity, and the energy method. ...... gives Lemma 3.4 for the local truncation error, which is of spectral order in ... estimates, we adopt a strategy similar to the finite difference method [4] (cf. diagram.

  20. Quasi-sparse eigenvector diagonalization and stochastic error correction

    E-Print Network [OSTI]

    Dean Lee

    2000-08-30T23:59:59.000Z

    We briefly review the diagonalization of quantum Hamiltonians using the quasi-sparse eigenvector (QSE) method. We also introduce the technique of stochastic error correction, which systematically removes the truncation error of the QSE result by stochastically sampling the contribution of the remaining basis states.

  1. Mining API Error-Handling Specifications from Source Code

    E-Print Network [OSTI]

    Xie, Tao

    Mining API Error-Handling Specifications from Source Code Mithun Acharya and Tao Xie Department it difficult to mine error-handling specifications through manual inspection of source code. In this paper, we, without any user in- put. In our framework, we adapt a trace generation technique to distinguish

  2. Entanglement and Quantum Error Correction with Superconducting Qubits

    E-Print Network [OSTI]

    Entanglement and Quantum Error Correction with Superconducting Qubits A Dissertation Presented David Reed All rights reserved. #12;Entanglement and Quantum Error Correction with Superconducting is to use superconducting quantum bits in the circuit quantum electro- dynamics (cQED) architecture. There

  3. ARTIFICIAL INTELLIGENCE 223 A Geometric Approach to Error

    E-Print Network [OSTI]

    Richardson, David

    may not even exist. For this reason we investigate error detection and recovery (EDR) strategies. We may not even exist. For this reason we investigate error detection and recovery (EDR ) strategies. We and implementational questions remain. The second contribution is a formal, geometric approach to EDR. While EDR

  4. Upper bounds on the error probabilities and asymptotic error exponents in quantum multiple state discrimination

    SciTech Connect (OSTI)

    Audenaert, Koenraad M. R., E-mail: koenraad.audenaert@rhul.ac.uk [Department of Mathematics, Royal Holloway University of London, Egham TW20 0EX (United Kingdom); Department of Physics and Astronomy, University of Ghent, S9, Krijgslaan 281, B-9000 Ghent (Belgium); Mosonyi, Milán, E-mail: milan.mosonyi@gmail.com [Física Teòrica: Informació i Fenomens Quàntics, Universitat Autònoma de Barcelona, ES-08193 Bellaterra, Barcelona (Spain); Mathematical Institute, Budapest University of Technology and Economics, Egry József u 1., Budapest 1111 (Hungary)

    2014-10-15T23:59:59.000Z

    We consider the multiple hypothesis testing problem for symmetric quantum state discrimination between r given states ?{sub 1}, …, ?{sub r}. By splitting up the overall test into multiple binary tests in various ways we obtain a number of upper bounds on the optimal error probability in terms of the binary error probabilities. These upper bounds allow us to deduce various bounds on the asymptotic error rate, for which it has been hypothesized that it is given by the multi-hypothesis quantum Chernoff bound (or Chernoff divergence) C(?{sub 1}, …, ?{sub r}), as recently introduced by Nussbaum and Szko?a in analogy with Salikhov's classical multi-hypothesis Chernoff bound. This quantity is defined as the minimum of the pairwise binary Chernoff divergences min{sub j

  5. An Efficient Approach towards Mitigating Soft Errors Risks

    E-Print Network [OSTI]

    Sadi, Muhammad Sheikh; Uddin, Md Nazim; Jürjens, Jan

    2011-01-01T23:59:59.000Z

    Smaller feature size, higher clock frequency and lower power consumption are of core concerns of today's nano-technology, which has been resulted by continuous downscaling of CMOS technologies. The resultant 'device shrinking' reduces the soft error tolerance of the VLSI circuits, as very little energy is needed to change their states. Safety critical systems are very sensitive to soft errors. A bit flip due to soft error can change the value of critical variable and consequently the system control flow can completely be changed which leads to system failure. To minimize soft error risks, a novel methodology is proposed to detect and recover from soft errors considering only 'critical code blocks' and 'critical variables' rather than considering all variables and/or blocks in the whole program. The proposed method shortens space and time overhead in comparison to existing dominant approaches.

  6. Grid-scale Fluctuations and Forecast Error in Wind Power

    E-Print Network [OSTI]

    G. Bel; C. P. Connaughton; M. Toots; M. M. Bandi

    2015-03-29T23:59:59.000Z

    The fluctuations in wind power entering an electrical grid (Irish grid) were analyzed and found to exhibit correlated fluctuations with a self-similar structure, a signature of large-scale correlations in atmospheric turbulence. The statistical structure of temporal correlations for fluctuations in generated and forecast time series was used to quantify two types of forecast error: a timescale error ($e_{\\tau}$) that quantifies the deviations between the high frequency components of the forecast and the generated time series, and a scaling error ($e_{\\zeta}$) that quantifies the degree to which the models fail to predict temporal correlations in the fluctuations of the generated power. With no $a$ $priori$ knowledge of the forecast models, we suggest a simple memory kernel that reduces both the timescale error ($e_{\\tau}$) and the scaling error ($e_{\\zeta}$).

  7. Grid-scale Fluctuations and Forecast Error in Wind Power

    E-Print Network [OSTI]

    Bel, G; Toots, M; Bandi, M M

    2015-01-01T23:59:59.000Z

    The fluctuations in wind power entering an electrical grid (Irish grid) were analyzed and found to exhibit correlated fluctuations with a self-similar structure, a signature of large-scale correlations in atmospheric turbulence. The statistical structure of temporal correlations for fluctuations in generated and forecast time series was used to quantify two types of forecast error: a timescale error ($e_{\\tau}$) that quantifies the deviations between the high frequency components of the forecast and the generated time series, and a scaling error ($e_{\\zeta}$) that quantifies the degree to which the models fail to predict temporal correlations in the fluctuations of the generated power. With no $a$ $priori$ knowledge of the forecast models, we suggest a simple memory kernel that reduces both the timescale error ($e_{\\tau}$) and the scaling error ($e_{\\zeta}$).

  8. Error Propagation in Reproduction of Diploid Organisms

    E-Print Network [OSTI]

    Baake, Ellen

    equation as adapted to sequence space. Focussing on diploid generalizations of the well-established single of mutation selection balance in these papers was from the very beginning related to the discussion started to re ect molecular properties of the genetic material. In this vein, the in#12;nite allele

  9. Error propagation equations and tables for estimating the uncertainty in high-speed wind tunnel test results

    SciTech Connect (OSTI)

    Clark, E.L.

    1993-08-01T23:59:59.000Z

    Error propagation equations, based on the Taylor series model, are derived for the nondimensional ratios and coefficients most often encountered in high-speed wind tunnel testing. These include pressure ratio and coefficient, static force and moment coefficients, dynamic stability coefficients, calibration Mach number and Reynolds number. The error equations contain partial derivatives, denoted as sensitivity coefficients, which define the influence of free-stream Mach number, M{infinity}, on various aerodynamic ratios. To facilitate use of the error equations, sensitivity coefficients are derived and evaluated for nine fundamental aerodynamic ratios, most of which relate free-stream test conditions (pressure, temperature, density or velocity) to a reference condition. Tables of the ratios, R, absolute sensitivity coefficients, {partial_derivative}R/{partial_derivative}M{infinity}, and relative sensitivity coefficients, (M{infinity}/R) ({partial_derivative}R/{partial_derivative}M{infinity}), are provided as functions of M{infinity}.

  10. Logical Error Rate Scaling of the Toric Code

    E-Print Network [OSTI]

    Fern H. E. Watson; Sean D. Barrett

    2014-09-26T23:59:59.000Z

    To date, a great deal of attention has focused on characterizing the performance of quantum error correcting codes via their thresholds, the maximum correctable physical error rate for a given noise model and decoding strategy. Practical quantum computers will necessarily operate below these thresholds meaning that other performance indicators become important. In this work we consider the scaling of the logical error rate of the toric code and demonstrate how, in turn, this may be used to calculate a key performance indicator. We use a perfect matching decoding algorithm to find the scaling of the logical error rate and find two distinct operating regimes. The first regime admits a universal scaling analysis due to a mapping to a statistical physics model. The second regime characterizes the behavior in the limit of small physical error rate and can be understood by counting the error configurations leading to the failure of the decoder. We present a conjecture for the ranges of validity of these two regimes and use them to quantify the overhead -- the total number of physical qubits required to perform error correction.

  11. Pollution error in the h-version of the finite-element method and the local quality of a-posteriori error estimators

    E-Print Network [OSTI]

    Mathur, Anuj

    1994-01-01T23:59:59.000Z

    in the L-shaped domain shown in Figs. la-ld. We applied boundary condi- 1 tions consistent with the singular solution u(r, 8) = rr sin(-) in the infinite wedge (see also Chapter II) and we assumed that we are interested only in the solution in the hol...-element solution in the subdomain. In Fig. l. la we show an adaptive finite-element mesh which was gener- ated using remeshing and linear elements, over the L-shaped domain fl. For this mesh an accuracy of 1. 09% for the relative error in the energy-norm over...

  12. Wind Power Forecasting Error Distributions: An International Comparison; Preprint

    SciTech Connect (OSTI)

    Hodge, B. M.; Lew, D.; Milligan, M.; Holttinen, H.; Sillanpaa, S.; Gomez-Lazaro, E.; Scharff, R.; Soder, L.; Larsen, X. G.; Giebel, G.; Flynn, D.; Dobschinski, J.

    2012-09-01T23:59:59.000Z

    Wind power forecasting is expected to be an important enabler for greater penetration of wind power into electricity systems. Because no wind forecasting system is perfect, a thorough understanding of the errors that do occur can be critical to system operation functions, such as the setting of operating reserve levels. This paper provides an international comparison of the distribution of wind power forecasting errors from operational systems, based on real forecast data. The paper concludes with an assessment of similarities and differences between the errors observed in different locations.

  13. Universal Framework for Quantum Error-Correcting Codes

    E-Print Network [OSTI]

    Zhuo Li; Li-Juan Xing

    2009-01-04T23:59:59.000Z

    We present a universal framework for quantum error-correcting codes, i.e., the one that applies for the most general quantum error-correcting codes. This framework is established on the group algebra, an algebraic notation for the nice error bases of quantum systems. The nicest thing about this framework is that we can characterize the properties of quantum codes by the properties of the group algebra. We show how it characterizes the properties of quantum codes as well as generates some new results about quantum codes.

  14. Servo control booster system for minimizing following error

    DOE Patents [OSTI]

    Wise, William L. (Mountain View, CA)

    1985-01-01T23:59:59.000Z

    A closed-loop feedback-controlled servo system is disclosed which reduces command-to-response error to the system's position feedback resolution least increment, .DELTA.S.sub.R, on a continuous real-time basis for all operating speeds. The servo system employs a second position feedback control loop on a by exception basis, when the command-to-response error .gtoreq..DELTA.S.sub.R, to produce precise position correction signals. When the command-to-response error is less than .DELTA.S.sub.R, control automatically reverts to conventional control means as the second position feedback control loop is disconnected, becoming transparent to conventional servo control means. By operating the second unique position feedback control loop used herein at the appropriate clocking rate, command-to-response error may be reduced to the position feedback resolution least increment. The present system may be utilized in combination with a tachometer loop for increased stability.

  15. A Posteriori Error Estimation for - Department of Mathematics ...

    E-Print Network [OSTI]

    Shuhao Cao supervised under Professor Zhiqiang Cai

    2013-10-31T23:59:59.000Z

    Oct 19, 2013 ... the “correct” Hilbert space the true flux µ?1?×u lies in, to recover a ...... The error heat map shows that ZZ-patch recovery estimator leads.

  16. Quantum error correcting codes based on privacy amplification

    E-Print Network [OSTI]

    Zhicheng Luo

    2008-08-10T23:59:59.000Z

    Calderbank-Shor-Steane (CSS) quantum error-correcting codes are based on pairs of classical codes which are mutually dual containing. Explicit constructions of such codes for large blocklengths and with good error correcting properties are not easy to find. In this paper we propose a construction of CSS codes which combines a classical code with a two-universal hash function. We show, using the results of Renner and Koenig, that the communication rates of such codes approach the hashing bound on tensor powers of Pauli channels in the limit of large block-length. While the bit-flip errors can be decoded as efficiently as the classical code used, the problem of efficiently decoding the phase-flip errors remains open.

  17. avoid vocal errors: Topics by E-print Network

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

    16 17 18 19 20 21 22 23 24 25 Next Page Last Page Topic Index 1 Error Avoiding Quantum Codes Quantum Physics (arXiv) Summary: The existence is proved of a class of open quantum...

  18. Rateless and rateless unequal error protection codes for Gaussian channels

    E-Print Network [OSTI]

    Boyle, Kevin P. (Kevin Patrick)

    2007-01-01T23:59:59.000Z

    In this thesis we examine two different rateless codes and create a rateless unequal error protection code, all for the additive white Gaussian noise (AWGN) channel. The two rateless codes are examined through both analysis ...

  19. An Approximation Algorithm for Constructing Error Detecting Prefix ...

    E-Print Network [OSTI]

    2006-09-02T23:59:59.000Z

    Sep 2, 2006 ... 2-bit Hamming prefix code problem. Our algorithm spends O(n log3 n) time to calculate a 2-bit. Hamming prefix code with an additive error of at ...

  20. Secured Pace Web Server with Collaboration and Error Logging Capabilities

    E-Print Network [OSTI]

    Tao, Lixin

    : Secure Sockets Layer (SSL) using the Java Secure Socket Extension (JSSE) API, error logging............................................................................................ 8 Chapter 3 Secure Pace Web Server with SSL........................................................... 29 3.1 Introduction to SSL

  1. Transition state theory: Variational formulation, dynamical corrections, and error estimates

    E-Print Network [OSTI]

    Van Den Eijnden, Eric

    Transition state theory: Variational formulation, dynamical corrections, and error estimates Eric, Brazil Received 18 February 2005; accepted 9 September 2005; published online 7 November 2005 Transition which aim at computing dynamical corrections to the TST transition rate constant. The theory

  2. YELLOW SEA ACOUSTIC UNCERTAINTY CAUSED BY HYDROGRAPHIC DATA ERROR

    E-Print Network [OSTI]

    Chu, Peter C.

    the littoral and blue waters. After a weapon platform has detected its targets, the sensors on torpedoes, bathymetry, bottom type, and sound speed profiles. Here, the effect of sound speed errors (i.e., hydrographic

  3. Strontium-90 Error Discovered in Subcontract Laboratory Spreadsheet

    SciTech Connect (OSTI)

    D. D. Brown A. S. Nagel

    1999-07-31T23:59:59.000Z

    West Valley Demonstration Project health physicists and environment scientists discovered a series of errors in a subcontractor's spreadsheet being used to reduce data as part of their strontium-90 analytical process.

  4. Sample covariance based estimation of Capon algorithm error probabilities

    E-Print Network [OSTI]

    Richmond, Christ D.

    The method of interval estimation (MIE) provides a strategy for mean squared error (MSE) prediction of algorithm performance at low signal-to-noise ratios (SNR) below estimation threshold where asymptotic predictions fail. ...

  5. Sensitivity of OFDM Systems to Synchronization Errors and Spatial Diversity

    E-Print Network [OSTI]

    Zhou, Yi

    2012-02-14T23:59:59.000Z

    jitter cause inter-carrier interference. The overall system performance in terms of symbol error rate is limited by the inter-carrier interference. For a reliable information reception, compensatory measures must be taken. The second part...

  6. Diagnosing multiplicative error by lensing magnification of type Ia supernovae

    E-Print Network [OSTI]

    Zhang, Pengjie

    2015-01-01T23:59:59.000Z

    Weak lensing causes spatially coherent fluctuations in flux of type Ia supernovae (SNe Ia). This lensing magnification allows for weak lensing measurement independent of cosmic shear. It is free of shape measurement errors associated with cosmic shear and can therefore be used to diagnose and calibrate multiplicative error. Although this lensing magnification is difficult to measure accurately in auto correlation, its cross correlation with cosmic shear and galaxy distribution in overlapping area can be measured to significantly higher accuracy. Therefore these cross correlations can put useful constraint on multiplicative error, and the obtained constraint is free of cosmic variance in weak lensing field. We present two methods implementing this idea and estimate their performances. We find that, with $\\sim 1$ million SNe Ia that can be achieved by the proposed D2k survey with the LSST telescope (Zhan et al. 2008), multiplicative error of $\\sim 0.5\\%$ for source galaxies at $z_s\\sim 1$ can be detected and la...

  7. Model Error Correction for Linear Methods in PET Neuroreceptor Measurements

    E-Print Network [OSTI]

    Renaut, Rosemary

    Model Error Correction for Linear Methods in PET Neuroreceptor Measurements Hongbin Guo address: hguo1@asu.edu (Hongbin Guo) Preprint submitted to NeuroImage December 11, 2008 #12;reached. A new

  8. Robust mixtures in the presence of measurement errors

    E-Print Network [OSTI]

    Jianyong Sun; Ata Kaban; Somak Raychaudhury

    2007-09-06T23:59:59.000Z

    We develop a mixture-based approach to robust density modeling and outlier detection for experimental multivariate data that includes measurement error information. Our model is designed to infer atypical measurements that are not due to errors, aiming to retrieve potentially interesting peculiar objects. Since exact inference is not possible in this model, we develop a tree-structured variational EM solution. This compares favorably against a fully factorial approximation scheme, approaching the accuracy of a Markov-Chain-EM, while maintaining computational simplicity. We demonstrate the benefits of including measurement errors in the model, in terms of improved outlier detection rates in varying measurement uncertainty conditions. We then use this approach in detecting peculiar quasars from an astrophysical survey, given photometric measurements with errors.

  9. Wind Bias from Sub-optimal Estimation Due to Geophysical Modeling Error Paul E. Johnson and David G . Long

    E-Print Network [OSTI]

    Long, David G.

    Wind Bias from Sub-optimal Estimation Due to Geophysical Modeling Error -Wind I Paul E. Johnson (which relates the wind to the normalized radar cross section, NRCS, of the ocean surface) is uncertainty in the NRCS for given wind conditions. When the estimated variability is in- cluded in the maximum likelihood

  10. Error Probabilities and Threshold Selection in Networked Nuclear Detection Chetan D. Pahlajani, Jianxin Sun, Ioannis Poulakakis, Herbert G. Tanner

    E-Print Network [OSTI]

    Poulakakis, Ioannis

    of nuclear detection relates to the problem of using radiation sensor data to decide, within a given time. Specifically, it is noted that currently deployed systems for detecting the transport of illicit radioactiveError Probabilities and Threshold Selection in Networked Nuclear Detection Chetan D. Pahlajani

  11. TESLA-FEL 2009-07 Errors in Reconstruction of Difference Orbit

    E-Print Network [OSTI]

    Contents 1 Introduction 1 2 Standard Least Squares Solution 2 3 Error Emittance and Error Twiss Parameters as the position of the reconstruction point changes, we will introduce error Twiss parameters and invariant error in the point of interest has to be achieved by matching error Twiss parameters in this point to the desired

  12. A Taxonomy to Enable Error Recovery and Correction in Software Vilas Sridharan

    E-Print Network [OSTI]

    Kaeli, David R.

    A Taxonomy to Enable Error Recovery and Correction in Software Vilas Sridharan ECE Department years, reliability research has largely used the following taxonomy of errors: Undetected Errors Errors (CE). While this taxonomy is suitable to characterize hardware error detection and correction

  13. Using doppler radar images to estimate aircraft navigational heading error

    DOE Patents [OSTI]

    Doerry, Armin W. (Albuquerque, NM); Jordan, Jay D. (Albuquerque, NM); Kim, Theodore J. (Albuquerque, NM)

    2012-07-03T23:59:59.000Z

    A yaw angle error of a motion measurement system carried on an aircraft for navigation is estimated from Doppler radar images captured using the aircraft. At least two radar pulses aimed at respectively different physical locations in a targeted area are transmitted from a radar antenna carried on the aircraft. At least two Doppler radar images that respectively correspond to the at least two transmitted radar pulses are produced. These images are used to produce an estimate of the yaw angle error.

  14. Coding Techniques for Error Correction and Rewriting in Flash Memories

    E-Print Network [OSTI]

    Mohammed, Shoeb Ahmed

    2010-10-12T23:59:59.000Z

    CODING TECHNIQUES FOR ERROR CORRECTION AND REWRITING IN FLASH MEMORIES A Thesis by SHOEB AHMED MOHAMMED Submitted to the Office of Graduate Studies of Texas A&M University in partial fulfillment of the requirements for the degree of MASTER... OF SCIENCE August 2010 Major Subject: Electrical Engineering CODING TECHNIQUES FOR ERROR CORRECTION AND REWRITING IN FLASH MEMORIES A Thesis by SHOEB AHMED MOHAMMED Submitted to the Office of Graduate Studies of Texas A&M University in partial...

  15. Systematic errors in current quantum state tomography tools

    E-Print Network [OSTI]

    Christian Schwemmer; Lukas Knips; Daniel Richart; Tobias Moroder; Matthias Kleinmann; Otfried Gühne; Harald Weinfurter

    2014-07-22T23:59:59.000Z

    Common tools for obtaining physical density matrices in experimental quantum state tomography are shown here to cause systematic errors. For example, using maximum likelihood or least squares optimization for state reconstruction, we observe a systematic underestimation of the fidelity and an overestimation of entanglement. A solution for this problem can be achieved by a linear evaluation of the data yielding reliable and computational simple bounds including error bars.

  16. Is the Heisenberg uncertainty relation really violated?

    E-Print Network [OSTI]

    Masao Kitano

    2008-03-31T23:59:59.000Z

    It has been pointed out that for some types of measurement the Heisenberg uncertainty relation seems to be violated. In order to save the situation a new uncertainty relation was proposed by Ozawa. Here we introduce revised definitions of error and disturbance taking into account the gain associated with generalized measurement interactions. With these new definitions, the validity of the Heisenberg inequality is recovered for continuous linear measurement interactions. We also examine the changes in distribution functions caused by the general measurement interaction and clarify the physical meanings of infinitely large errors and disturbances.

  17. Table 1b. Relative Standard Errors for Effective, Occupied, and Vacant

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122Commercial ConsumersThousandCubic Feet) DecadeV49 155 181 1773 January

  18. Table 3b. Relative Standard Errors for Total Natural Gas Consumption per

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122Commercial ConsumersThousandCubic Feet) DecadeV49 155 181

  19. Table 4b. Relative Standard Errors for Total Fuel Oil Consumption per

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122Commercial ConsumersThousandCubic Feet) DecadeV493,552.13,846.302.8Effective

  20. Table 5b. Relative Standard Errors for Total District Heat Consumption per

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122Commercial ConsumersThousandCubic Feet)4. U.S. Vehicle FuelFoot, 1992

  1. Table 6b. Relative Standard Errors for Total Electricity Consumption per

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122Commercial ConsumersThousandCubic Feet)4. U.S. Vehicle FuelFoot,Effective

  2. A new and efficient error resilient entropy code for image and video compression

    E-Print Network [OSTI]

    Min, Jungki

    1999-01-01T23:59:59.000Z

    Image and video compression standards such as JPEG, MPEG, H.263 are severely sensitive to errors. Among typical error propagation mechanisms in video compression schemes, loss of block synchronization causes the worst result. Even one bit error...

  3. Error Monitoring: A Learning Strategy for Improving Academic Performance of LD Adolescents

    E-Print Network [OSTI]

    Schumaker, Jean B.; Deshler, Donald D.; Nolan, Susan; Clark, Frances L.; Alley, Gordon R.; Warner, Michael M.

    1981-04-01T23:59:59.000Z

    Error monitoring, a learning strategy for detecting and correcting errors in written products, was taught to nine learning disabled adolescents. Students could detect and correct more errors after they received training ...

  4. Assessing the Impact of Differential Genotyping Errors on Rare Variant Tests of Association

    E-Print Network [OSTI]

    Fast, Shannon Marie

    Genotyping errors are well-known to impact the power and type I error rate in single marker tests of association. Genotyping errors that happen according to the same process in cases and controls are known as non-differential ...

  5. Initial quantification of human error associated with specific instrumentation and control system components in licensed nuclear power plants

    SciTech Connect (OSTI)

    Luckas, W.J. Jr.; Lettieri, V.; Hall, R.E.

    1982-02-01T23:59:59.000Z

    This report provides a methodology for the initial quantification of specific categories of human errors made in conjunction with several instrumentation and control (I and C) system components operated, maintained, and tested in licensed nuclear power plants. The resultant human error rates (HER) provide the first real systems bases of comparison for the existing derived and/or best judgement equivalent set of such rates or probabilities. These calculated error rates also provide the first real indication of human performance as it relates directly to specific tasks in nuclear plants. This work of developing specific HERs is both an extension of and an outgrowth of the generic HERs developed for safety system pumpc and valves as reported in NUREG/CR-1880.

  6. Initial quantification of human error associated with specific instrumentation and control system components in licensed nuclear power plants

    SciTech Connect (OSTI)

    Luckas, W.J. Jr.; Lettieri, V.; Hall, R.E.

    1982-02-01T23:59:59.000Z

    This report provides a methodology for the initial quantification of specific categories of human errors made in conjunction with several instrumentation and control (I and C) system components operated, maintained, and tested in licensed nuclear power plants. The resultant human error rates (HER) provide the first real systems bases of comparison for the existing derived and/or best judgement equivalent set of such rates or probabilities. These calculated error rates also provide the first real indication of human performance as it relates directly to specific tasks in nuclear plants. This work of developing specific HERs is both an extension of and an outgrowth of the generic HERs developed for safety system pumps and valves as reported in NUREG/CR-1880.

  7. SHEAN (Simplified Human Error Analysis code) and automated THERP

    SciTech Connect (OSTI)

    Wilson, J.R.

    1993-06-01T23:59:59.000Z

    One of the most widely used human error analysis tools is THERP (Technique for Human Error Rate Prediction). Unfortunately, this tool has disadvantages. The Nuclear Regulatory Commission, realizing these drawbacks, commissioned Dr. Swain, the author of THERP, to create a simpler, more consistent tool for deriving human error rates. That effort produced the Accident Sequence Evaluation Program Human Reliability Analysis Procedure (ASEP), which is more conservative than THERP, but a valuable screening tool. ASEP involves answering simple questions about the scenario in question, and then looking up the appropriate human error rate in the indicated table (THERP also uses look-up tables, but four times as many). The advantages of ASEP are that human factors expertise is not required, and the training to use the method is minimal. Although not originally envisioned by Dr. Swain, the ASEP approach actually begs to be computerized. That WINCO did, calling the code SHEAN, for Simplified Human Error ANalysis. The code was done in TURBO Basic for IBM or IBM-compatible MS-DOS, for fast execution. WINCO is now in the process of comparing this code against THERP for various scenarios. This report provides a discussion of SHEAN.

  8. Theoretical inputs and errors in the new hadronic currents in TAUOLA

    SciTech Connect (OSTI)

    Roig, P.; Nugent, I. M.; Przedzinski, T.; Shekhovtsova, O.; Was, Z. [Grup de Fisica Teorica, Institut de Fisica d'Altes Energies, Universitat Autonoma de Barcelona, E-08193 Bellaterra, Barcelona (Spain); RWTH Aachen University, III. Physikalisches Institut B, Aachen (Germany); Faculty of Physics, Astronomy and Applied Computer Science, Jagellonian University, Reymonta 4, 30-059 Cracow, Poland and Institute of Nuclear Physics, PAN, Cracow, ul. Radzikowskiego 152 (Poland); IFIC, Universitat de Valencia-CSIC, Apt. Correus 22085, E-46071, Valencia (Spain); CERN PH-TH, CH-1211 Geneva 23, Switzerland and Institute of Nuclear Physics, PAN, Cracow, ul. Radzikowskiego 152 (Poland)

    2012-10-23T23:59:59.000Z

    The new hadronic currents implemented in the TAUOLA library are obtained in the unified and consistent framework of Resonance Chiral Theory: a Lagrangian approach in which the resonances exchanged in the hadronic tau decays are active degrees of freedom included in a way that reproduces the low-energy results of Chiral Perturbation Theory. The short-distance QCD constraints on the imaginary part of the spin-one correlators yield relations among the couplings that render the theory predictive. In this communication, the obtaining of the two- and three-meson form factors is sketched. One of the criticisms to our framework is that the error may be as large as 1/3, since it is a realization of the large-N{sub C} limit of QCD in a meson theory. A number of arguments are given which disfavor that claim pointing to smaller errors, which would explain the phenomenological success of our description in these decays. Finally, other minor sources of error and current improvements of the code are discussed.

  9. Development of an integrated system for estimating human error probabilities

    SciTech Connect (OSTI)

    Auflick, J.L.; Hahn, H.A.; Morzinski, J.A.

    1998-12-01T23:59:59.000Z

    This is the final report of a three-year, Laboratory Directed Research and Development (LDRD) project at the Los Alamos National Laboratory (LANL). This project had as its main objective the development of a Human Reliability Analysis (HRA), knowledge-based expert system that would provide probabilistic estimates for potential human errors within various risk assessments, safety analysis reports, and hazard assessments. HRA identifies where human errors are most likely, estimates the error rate for individual tasks, and highlights the most beneficial areas for system improvements. This project accomplished three major tasks. First, several prominent HRA techniques and associated databases were collected and translated into an electronic format. Next, the project started a knowledge engineering phase where the expertise, i.e., the procedural rules and data, were extracted from those techniques and compiled into various modules. Finally, these modules, rules, and data were combined into a nearly complete HRA expert system.

  10. Representing cognitive activities and errors in HRA trees

    SciTech Connect (OSTI)

    Gertman, D.I.

    1992-01-01T23:59:59.000Z

    A graphic representation method is presented herein for adapting an existing technology--human reliability analysis (HRA) event trees, used to support event sequence logic structures and calculations--to include a representation of the underlying cognitive activity and corresponding errors associated with human performance. The analyst is presented with three potential means of representing human activity: the NUREG/CR-1278 HRA event tree approach; the skill-, rule- and knowledge-based paradigm; and the slips, lapses, and mistakes paradigm. The above approaches for representing human activity are integrated in order to produce an enriched HRA event tree -- the cognitive event tree system (COGENT)-- which, in turn, can be used to increase the analyst's understanding of the basic behavioral mechanisms underlying human error and the representation of that error in probabilistic risk assessment. Issues pertaining to the implementation of COGENT are also discussed.

  11. Representing cognitive activities and errors in HRA trees

    SciTech Connect (OSTI)

    Gertman, D.I.

    1992-05-01T23:59:59.000Z

    A graphic representation method is presented herein for adapting an existing technology--human reliability analysis (HRA) event trees, used to support event sequence logic structures and calculations--to include a representation of the underlying cognitive activity and corresponding errors associated with human performance. The analyst is presented with three potential means of representing human activity: the NUREG/CR-1278 HRA event tree approach; the skill-, rule- and knowledge-based paradigm; and the slips, lapses, and mistakes paradigm. The above approaches for representing human activity are integrated in order to produce an enriched HRA event tree -- the cognitive event tree system (COGENT)-- which, in turn, can be used to increase the analyst`s understanding of the basic behavioral mechanisms underlying human error and the representation of that error in probabilistic risk assessment. Issues pertaining to the implementation of COGENT are also discussed.

  12. Non-Gaussian numerical errors versus mass hierarchy

    E-Print Network [OSTI]

    Y. Meurice; M. B. Oktay

    2000-05-12T23:59:59.000Z

    We probe the numerical errors made in renormalization group calculations by varying slightly the rescaling factor of the fields and rescaling back in order to get the same (if there were no round-off errors) zero momentum 2-point function (magnetic susceptibility). The actual calculations were performed with Dyson's hierarchical model and a simplified version of it. We compare the distributions of numerical values obtained from a large sample of rescaling factors with the (Gaussian by design) distribution of a random number generator and find significant departures from the Gaussian behavior. In addition, the average value differ (robustly) from the exact answer by a quantity which is of the same order as the standard deviation. We provide a simple model in which the errors made at shorter distance have a larger weight than those made at larger distance. This model explains in part the non-Gaussian features and why the central-limit theorem does not apply.

  13. Meta learning of bounds on the Bayes classifier error

    E-Print Network [OSTI]

    Moon, Kevin R; Hero, Alfred O

    2015-01-01T23:59:59.000Z

    Meta learning uses information from base learners (e.g. classifiers or estimators) as well as information about the learning problem to improve upon the performance of a single base learner. For example, the Bayes error rate of a given feature space, if known, can be used to aid in choosing a classifier, as well as in feature selection and model selection for the base classifiers and the meta classifier. Recent work in the field of f-divergence functional estimation has led to the development of simple and rapidly converging estimators that can be used to estimate various bounds on the Bayes error. We estimate multiple bounds on the Bayes error using an estimator that applies meta learning to slowly converging plug-in estimators to obtain the parametric convergence rate. We compare the estimated bounds empirically on simulated data and then estimate the tighter bounds on features extracted from an image patch analysis of sunspot continuum and magnetogram images.

  14. Trade-off between the tolerance of located and unlocated errors in nondegenerate quantum error-correcting codes

    E-Print Network [OSTI]

    Henry L. Haselgrove; Peter P. Rohde

    2007-07-03T23:59:59.000Z

    In a recent study [Rohde et al., quant-ph/0603130 (2006)] of several quantum error correcting protocols designed for tolerance against qubit loss, it was shown that these protocols have the undesirable effect of magnifying the effects of depolarization noise. This raises the question of which general properties of quantum error-correcting codes might explain such an apparent trade-off between tolerance to located and unlocated error types. We extend the counting argument behind the well-known quantum Hamming bound to derive a bound on the weights of combinations of located and unlocated errors which are correctable by nondegenerate quantum codes. Numerical results show that the bound gives an excellent prediction to which combinations of unlocated and located errors can be corrected with high probability by certain large degenerate codes. The numerical results are explained partly by showing that the generalized bound, like the original, is closely connected to the information-theoretic quantity the quantum coherent information. However, we also show that as a measure of the exact performance of quantum codes, our generalized Hamming bound is provably far from tight.

  15. Are you getting an error message in UniFi Plus? (suggestion...check the auto-hint line!) In most cases, Unifi Plus does not prominently display error messages; instead, the error message will be

    E-Print Network [OSTI]

    Peak, Derek

    Are you getting an error message in UniFi Plus? (suggestion...check the auto-hint line!) In most cases, Unifi Plus does not prominently display error messages; instead, the error message and processing messages Keyboard shortcuts Instructions for accessing other blocks, windows or forms from

  16. Error estimates and specification parameters for functional renormalization

    SciTech Connect (OSTI)

    Schnoerr, David [Institute for Theoretical Physics, University of Heidelberg, D-69120 Heidelberg (Germany)] [Institute for Theoretical Physics, University of Heidelberg, D-69120 Heidelberg (Germany); Boettcher, Igor, E-mail: I.Boettcher@thphys.uni-heidelberg.de [Institute for Theoretical Physics, University of Heidelberg, D-69120 Heidelberg (Germany)] [Institute for Theoretical Physics, University of Heidelberg, D-69120 Heidelberg (Germany); Pawlowski, Jan M. [Institute for Theoretical Physics, University of Heidelberg, D-69120 Heidelberg (Germany) [Institute for Theoretical Physics, University of Heidelberg, D-69120 Heidelberg (Germany); ExtreMe Matter Institute EMMI, GSI Helmholtzzentrum für Schwerionenforschung mbH, D-64291 Darmstadt (Germany); Wetterich, Christof [Institute for Theoretical Physics, University of Heidelberg, D-69120 Heidelberg (Germany)] [Institute for Theoretical Physics, University of Heidelberg, D-69120 Heidelberg (Germany)

    2013-07-15T23:59:59.000Z

    We present a strategy for estimating the error of truncated functional flow equations. While the basic functional renormalization group equation is exact, approximated solutions by means of truncations do not only depend on the choice of the retained information, but also on the precise definition of the truncation. Therefore, results depend on specification parameters that can be used to quantify the error of a given truncation. We demonstrate this for the BCS–BEC crossover in ultracold atoms. Within a simple truncation the precise definition of the frequency dependence of the truncated propagator affects the results, indicating a shortcoming of the choice of a frequency independent cutoff function.

  17. JLab SRF Cavity Fabrication Errors, Consequences and Lessons Learned

    SciTech Connect (OSTI)

    Frank Marhauser

    2011-09-01T23:59:59.000Z

    Today, elliptical superconducting RF (SRF) cavities are preferably made from deep-drawn niobium sheets as pursued at Jefferson Laboratory (JLab). The fabrication of a cavity incorporates various cavity cell machining, trimming and electron beam welding (EBW) steps as well as surface chemistry that add to forming errors creating geometrical deviations of the cavity shape from its design. An analysis of in-house built cavities over the last years revealed significant errors in cavity production. Past fabrication flaws are described and lessons learned applied successfully to the most recent in-house series production of multi-cell cavities.

  18. Quantum error correcting codes and 4-dimensional arithmetic hyperbolic manifolds

    SciTech Connect (OSTI)

    Guth, Larry, E-mail: lguth@math.mit.edu [Department of Mathematics, MIT, Cambridge, Massachusetts 02139 (United States); Lubotzky, Alexander, E-mail: alex.lubotzky@mail.huji.ac.il [Institute of Mathematics, Hebrew University, Jerusalem 91904 (Israel)

    2014-08-15T23:59:59.000Z

    Using 4-dimensional arithmetic hyperbolic manifolds, we construct some new homological quantum error correcting codes. They are low density parity check codes with linear rate and distance n{sup ?}. Their rate is evaluated via Euler characteristic arguments and their distance using Z{sub 2}-systolic geometry. This construction answers a question of Zémor [“On Cayley graphs, surface codes, and the limits of homological coding for quantum error correction,” in Proceedings of Second International Workshop on Coding and Cryptology (IWCC), Lecture Notes in Computer Science Vol. 5557 (2009), pp. 259–273], who asked whether homological codes with such parameters could exist at all.

  19. Full protection of superconducting qubit systems from coupling errors

    E-Print Network [OSTI]

    M. J. Storcz; J. Vala; K. R. Brown; J. Kempe; F. K. Wilhelm; K. B. Whaley

    2005-08-09T23:59:59.000Z

    Solid state qubits realized in superconducting circuits are potentially extremely scalable. However, strong decoherence may be transferred to the qubits by various elements of the circuits that couple individual qubits, particularly when coupling is implemented over long distances. We propose here an encoding that provides full protection against errors originating from these coupling elements, for a chain of superconducting qubits with a nearest neighbor anisotropic XY-interaction. The encoding is also seen to provide partial protection against errors deriving from general electronic noise.

  20. Laser Phase Errors in Seeded Free Electron Lasers

    SciTech Connect (OSTI)

    Ratner, D.; Fry, A.; Stupakov, G.; White, W.; /SLAC

    2012-04-17T23:59:59.000Z

    Harmonic seeding of free electron lasers has attracted significant attention as a method for producing transform-limited pulses in the soft x-ray region. Harmonic multiplication schemes extend seeding to shorter wavelengths, but also amplify the spectral phase errors of the initial seed laser, and may degrade the pulse quality and impede production of transform-limited pulses. In this paper we consider the effect of seed laser phase errors in high gain harmonic generation and echo-enabled harmonic generation. We use simulations to confirm analytical results for the case of linearly chirped seed lasers, and extend the results for arbitrary seed laser envelope and phase.

  1. Correctable noise of Quantum Error Correcting Codes under adaptive concatenation

    E-Print Network [OSTI]

    Jesse Fern

    2008-02-27T23:59:59.000Z

    We examine the transformation of noise under a quantum error correcting code (QECC) concatenated repeatedly with itself, by analyzing the effects of a quantum channel after each level of concatenation using recovery operators that are optimally adapted to use error syndrome information from the previous levels of the code. We use the Shannon entropy of these channels to estimate the thresholds of correctable noise for QECCs and find considerable improvements under this adaptive concatenation. Similar methods could be used to increase quantum fault tolerant thresholds.

  2. Soft Error Modeling and Protection for Sequential Elements Hossein Asadi and Mehdi B. Tahoori

    E-Print Network [OSTI]

    on system-level soft error rate. The number of clock cycles required for an error in a bistable to be propagated to system outputs is used to measure the vulnerability of bistables to soft errors. 1 Introduction, soft errors become the main reliability concern during lifetime operation of digital systems. Soft

  3. Low-Cost Hardening of Image Processing Applications Against Soft Errors Ilia Polian1,2

    E-Print Network [OSTI]

    Polian, Ilia

    , and their hardening against soft errors becomes an issue. We propose a methodology to identify soft errors as uncritical based on their impact on the system's functionality. We call a soft error uncritical if its impact are imperceivable for the human user of the system. We focus on soft errors in the motion esti- mation subsystem

  4. Distinguishing congestion and error losses: an ECN/ELN based scheme

    E-Print Network [OSTI]

    Kamakshisundaram, Raguram

    2001-01-01T23:59:59.000Z

    error rates, like wireless links, packets are lost more due to error than due to congestion. But TCP does not differentiate between error and congestion losses and hence reduces the sending rate for losses due to error also, which unnecessarily reduces...

  5. Measurement Errors in Visual Servoing V. Kyrki ,1

    E-Print Network [OSTI]

    Kragic, Danica

    feedback for closed loop control of a robot motion termed visual servoing has received a significant amount robot trajectory and its uncertainty. The procedures of camera calibration have improved enormously over on the modeling of an error function and thus has a major effect on the robot's trajectory. On the other hand

  6. Energy efficiency of error correction for wireless communication

    E-Print Network [OSTI]

    Havinga, Paul J.M.

    -control is an important issue for mobile computing systems. This includes energy spent in the physical radio transmission and Networking Conference 1999 [7]. #12;ENERGY EFFICIENCY OF ERROR CORRECTION FOR WIRELESS COMMUNICATIONA ­ 2 on the energy of transmission and the energy of redundancy computation. We will show that the computational cost

  7. Effects of errors in the solar radius on helioseismic inferences

    E-Print Network [OSTI]

    Sarbani Basu

    1997-12-09T23:59:59.000Z

    Frequencies of intermediate-degree f-modes of the Sun seem to indicate that the solar radius is smaller than what is normally used in constructing solar models. We investigate the possible consequences of an error in radius on results for solar structure obtained using helioseismic inversions. It is shown that solar sound speed will be overestimated if oscillation frequencies are inverted using reference models with a larger radius. Using solar models with radius of 695.78 Mm and new data sets, the base of the solar convection zone is estimated to be at radial distance of $0.7135\\pm 0.0005$ of the solar radius. The helium abundance in the convection zone as determined using models with OPAL equation of state is $0.248\\pm 0.001$, where the errors reflect the estimated systematic errors in the calculation, the statistical errors being much smaller. Assuming that the OPAL opacities used in the construction of the solar models are correct, the surface $Z/X$ is estimated to be $0.0245\\pm 0.0006$.

  8. Error field and magnetic diagnostic modeling for W7-X

    SciTech Connect (OSTI)

    Lazerson, Sam A. [PPPL; Gates, David A. [PPPL; NEILSON, GEORGE H. [PPPL; OTTE, M.; Bozhenkov, S.; Pedersen, T. S.; GEIGER, J.; LORE, J.

    2014-07-01T23:59:59.000Z

    The prediction, detection, and compensation of error fields for the W7-X device will play a key role in achieving a high beta (? = 5%), steady state (30 minute pulse) operating regime utilizing the island divertor system [1]. Additionally, detection and control of the equilibrium magnetic structure in the scrape-off layer will be necessary in the long-pulse campaign as bootstrapcurrent evolution may result in poor edge magnetic structure [2]. An SVD analysis of the magnetic diagnostics set indicates an ability to measure the toroidal current and stored energy, while profile variations go undetected in the magnetic diagnostics. An additional set of magnetic diagnostics is proposed which improves the ability to constrain the equilibrium current and pressure profiles. However, even with the ability to accurately measure equilibrium parameters, the presence of error fields can modify both the plasma response and diverter magnetic field structures in unfavorable ways. Vacuum flux surface mapping experiments allow for direct measurement of these modifications to magnetic structure. The ability to conduct such an experiment is a unique feature of stellarators. The trim coils may then be used to forward model the effect of an applied n = 1 error field. This allows the determination of lower limits for the detection of error field amplitude and phase using flux surface mapping. *Research supported by the U.S. DOE under Contract No. DE-AC02-09CH11466 with Princeton University.

  9. Two infinite families of nonadditive quantum error-correcting codes

    E-Print Network [OSTI]

    Sixia Yu; Qing Chen; C. H. Oh

    2009-01-14T23:59:59.000Z

    We construct explicitly two infinite families of genuine nonadditive 1-error correcting quantum codes and prove that their coding subspaces are 50% larger than those of the optimal stabilizer codes of the same parameters via the linear programming bound. All these nonadditive codes can be characterized by a stabilizer-like structure and thus their encoding circuits can be designed in a straightforward manner.

  10. Threshold error rates for the toric and surface codes

    E-Print Network [OSTI]

    D. S. Wang; A. G. Fowler; A. M. Stephens; L. C. L. Hollenberg

    2009-05-05T23:59:59.000Z

    The surface code scheme for quantum computation features a 2d array of nearest-neighbor coupled qubits yet claims a threshold error rate approaching 1% (NJoP 9:199, 2007). This result was obtained for the toric code, from which the surface code is derived, and surpasses all other known codes restricted to 2d nearest-neighbor architectures by several orders of magnitude. We describe in detail an error correction procedure for the toric and surface codes, which is based on polynomial-time graph matching techniques and is efficiently implementable as the classical feed-forward processing step in a real quantum computer. By direct simulation of this error correction scheme, we determine the threshold error rates for the two codes (differing only in their boundary conditions) for both ideal and non-ideal syndrome extraction scenarios. We verify that the toric code has an asymptotic threshold of p = 15.5% under ideal syndrome extraction, and p = 7.8 10^-3 for the non-ideal case, in agreement with prior work. Simulations of the surface code indicate that the threshold is close to that of the toric code.

  11. RESIDUAL TYPE A POSTERIORI ERROR ESTIMATES FOR ELLIPTIC OBSTACLE PROBLEMS

    E-Print Network [OSTI]

    Nochetto, Ricardo H.

    to double obstacle problems are briefly discussed. Key words. a posteriori error estimates, residual Science Foundation under the grant No.19771080 and China National Key Project ``Large Scale Scientific\\Gamma satisfies / Ÿ 0 on @ and K is the convex set of admissible displacements K := fv 2 H 1 0(\\Omega\\Gamma : v

  12. Analysis of possible systematic errors in the Oslo method

    E-Print Network [OSTI]

    A. C. Larsen; M. Guttormsen; M. Krticka; E. Betak; A. Bürger; A. Görgen; H. T. Nyhus; J. Rekstad; A. Schiller; S. Siem; H. K. Toft; G. M. Tveten; A. V. Voinov; K. Wikan

    2012-11-27T23:59:59.000Z

    In this work, we have reviewed the Oslo method, which enables the simultaneous extraction of level density and gamma-ray transmission coefficient from a set of particle-gamma coincidence data. Possible errors and uncertainties have been investigated. Typical data sets from various mass regions as well as simulated data have been tested against the assumptions behind the data analysis.

  13. Flexible Error Protection for Energy Efficient Reliable Architectures Timothy Miller

    E-Print Network [OSTI]

    Xuan, Dong

    Flexible Error Protection for Energy Efficient Reliable Architectures Timothy Miller , Nagarjuna and Computer Engineering The Ohio State University {millerti,teodores}@cse.ohio-state.edu, nagarjun. To deal with these com- peting trends, energy-efficient solutions are needed to deal with reli- ability

  14. Fast Error Estimates For Indirect Measurements: Applications To Pavement Engineering

    E-Print Network [OSTI]

    Kreinovich, Vladik

    Fast Error Estimates For Indirect Measurements: Applications To Pavement Engineering Carlos that is difficult to measure directly (e.g., lifetime of a pavement, efficiency of an engine, etc). To estimate y computation time. As an example of this methodology, we give pavement lifetime estimates. This work

  15. Considering Workload Input Variations in Error Coverage Estimation

    E-Print Network [OSTI]

    Karlsson, Johan

    different parts of the workload code to be executed different number of times. By using the results from in the workload input when estimating error detection coverage using fault injection are investigated. Results sequence based on results from fault injection experiments with another input sequence is presented

  16. Data aware, Low cost Error correction for Wireless Sensor Networks

    E-Print Network [OSTI]

    California at San Diego, University of

    Data aware, Low cost Error correction for Wireless Sensor Networks Shoubhik Mukhopadhyay, Debashis challenges in adoption and deployment of wireless networked sensing applications is ensuring reliable sensor of such applications. A wireless sensor network is inherently vulnerable to different sources of unreliability

  17. Error Minimization Methods in Biproportional Apportionment Federica Ricca Andrea Scozzari

    E-Print Network [OSTI]

    Serafini, Paolo

    as an alternative to the classical axiomatic approach introduced by Balinski and Demange in 1989. We provide and in the statistical literature. A milestone theoretical setting was given by Balinski and Demange in 1989 [5, 6 a class of methods for Biproportional Apportionment characterized by an "error minimization" approach

  18. DISCRIMINATION AND CLASSIFICATION OF UXO USING MAGNETOMETRY: INVERSION AND ERROR

    E-Print Network [OSTI]

    Sambridge, Malcolm

    DISCRIMINATION AND CLASSIFICATION OF UXO USING MAGNETOMETRY: INVERSION AND ERROR ANALYSIS USING for the different solutions didn't even overlap. Introduction A discrimination and classification strategy ambiguity and possible remanent magnetization the recovered dipole moment is compared to a library

  19. Error Exponent for Discrete Memoryless Multiple-Access Channels

    E-Print Network [OSTI]

    Anastasopoulos, Achilleas

    Error Exponent for Discrete Memoryless Multiple-Access Channels by Ali Nazari A dissertation Bayraktar Associate Professor Jussi Keppo #12;c Ali Nazari 2011 All Rights Reserved #12;To my parents. ii Becky Turanski, Nancy Goings, Michele Feldkamp, Ann Pace, Karen Liska and Beth Lawson for efficiently

  20. Time reversal in thermoacoustic tomography - an error estimate

    E-Print Network [OSTI]

    Hristova, Yulia

    2008-01-01T23:59:59.000Z

    The time reversal method in thermoacoustic tomography is used for approximating the initial pressure inside a biological object using measurements of the pressure wave made outside the object. This article presents error estimates for the time reversal method in the cases of variable, non-trapping sound speeds.

  1. IPASS: Error Tolerant NMR Backbone Resonance Assignment by Linear Programming

    E-Print Network [OSTI]

    Waterloo, University of

    IPASS: Error Tolerant NMR Backbone Resonance Assignment by Linear Programming Babak Alipanahi1 automatically picked peaks. IPASS is proposed as a novel integer linear programming (ILP) based assignment assignment method. Although a variety of assignment approaches have been developed, none works well on noisy

  2. Research Article Preschool Speech Error Patterns Predict Articulation

    E-Print Network [OSTI]

    -age clinical outcomes. Many atypical speech sound errors in preschoolers may be indicative of weak phonological Outcomes in Children With Histories of Speech Sound Disorders Jonathan L. Preston,a,b Margaret Hull disorders (SSDs) predict articulation and phonological awareness (PA) outcomes almost 4 years later. Method

  3. Edinburgh Research Explorer Prevalence and Causes of Prescribing Errors

    E-Print Network [OSTI]

    Hall, Christopher

    of Prescribing Errors: The PRescribing Outcomes for Trainee Doctors Engaged in Clinical Training (PROTECT) Study: The PRescribing Outcomes for Trainee Doctors Engaged in Clinical Training (PROTECT) Study Cristi´n Ryan1 , Sarah Kingdom, 7 Health Psychology, University of Aberdeen, Aberdeen, United Kingdom, 8 Clinical Pharmacology

  4. Achievable Error Exponents for the Private Fingerprinting Game

    E-Print Network [OSTI]

    Merhav, Neri

    Achievable Error Exponents for the Private Fingerprinting Game Anelia Somekh-Baruch and Neri Merhav a forgery of the data while aiming at erasing the fingerprints in order not to be detected. Their action have presented and analyzed a game-theoretic model of private2 fingerprinting systems in the presence

  5. RESOLVE Upgrades for on Line Lattice Error Analysis

    SciTech Connect (OSTI)

    Lee, M.; Corbett, J.; White, G.; /SLAC; Zambre, Y.; /Unlisted

    2011-08-25T23:59:59.000Z

    We have increased the speed and versatility of the orbit analysis process by adding a command file, or 'script' language, to RESOLVE. This command file feature enables us to automate data analysis procedures to detect lattice errors. We describe the RESOLVE command file and present examples of practical applications.

  6. Stereoscopic Light Stripe Scanning: Interference Rejection, Error Minimization and Calibration

    E-Print Network [OSTI]

    This paper addresses the problem of rejecting interfer- ence due to secondary specular reflections, cross structure, acquisition delay, lack of error recovery, and incorrect modelling of measurement noise. We cause secondary reflections, edges and textures may have a stripe-like appearance, and cross-talk can

  7. Error Control Based Model Reduction for Parameter Optimization of Elliptic

    E-Print Network [OSTI]

    of technical devices that rely on multiscale processes, such as fuel cells or batteries. As the solutionError Control Based Model Reduction for Parameter Optimization of Elliptic Homogenization Problems optimization of elliptic multiscale problems with macroscopic optimization functionals and microscopic material

  8. Development of an Expert System for Classification of Medical Errors

    E-Print Network [OSTI]

    Kopec, Danny

    in the United States. There has been considerable speculation that these figures are either overestimated published by the Institute of Medicine (IOM) indicated that between 44,000 and 98,000 unnecessary deaths per in hospitals in the IOM report, what is of importance is that the number of deaths caused by such errors

  9. Odometry Error Covariance Estimation for Two Wheel Robot Vehicles

    E-Print Network [OSTI]

    Robotics Research Centre Department of Electrical and Computer Systems Engineering Monash University Technical Report MECSE-95-1 1995 ABSTRACT This technical report develops a simple statistical error model of the robot. Other paths can be composed of short segments of constant curvature arcs without great loss

  10. Quantum computing with nearest neighbor interactions and error rates over 1%

    E-Print Network [OSTI]

    David S. Wang; Austin G. Fowler; Lloyd C. L. Hollenberg

    2010-09-20T23:59:59.000Z

    Large-scale quantum computation will only be achieved if experimentally implementable quantum error correction procedures are devised that can tolerate experimentally achievable error rates. We describe a quantum error correction procedure that requires only a 2-D square lattice of qubits that can interact with their nearest neighbors, yet can tolerate quantum gate error rates over 1%. The precise maximum tolerable error rate depends on the error model, and we calculate values in the range 1.1--1.4% for various physically reasonable models. Even the lowest value represents the highest threshold error rate calculated to date in a geometrically constrained setting, and a 50% improvement over the previous record.

  11. SU-E-T-51: Bayesian Network Models for Radiotherapy Error Detection

    SciTech Connect (OSTI)

    Kalet, A; Phillips, M; Gennari, J [UniversityWashington, Seattle, WA (United States)

    2014-06-01T23:59:59.000Z

    Purpose: To develop a probabilistic model of radiotherapy plans using Bayesian networks that will detect potential errors in radiation delivery. Methods: Semi-structured interviews with medical physicists and other domain experts were employed to generate a set of layered nodes and arcs forming a Bayesian Network (BN) which encapsulates relevant radiotherapy concepts and their associated interdependencies. Concepts in the final network were limited to those whose parameters are represented in the institutional database at a level significant enough to develop mathematical distributions. The concept-relation knowledge base was constructed using the Web Ontology Language (OWL) and translated into Hugin Expert Bayes Network files via the the RHugin package in the R statistical programming language. A subset of de-identified data derived from a Mosaiq relational database representing 1937 unique prescription cases was processed and pre-screened for errors and then used by the Hugin implementation of the Estimation-Maximization (EM) algorithm for machine learning all parameter distributions. Individual networks were generated for each of several commonly treated anatomic regions identified by ICD-9 neoplasm categories including lung, brain, lymphoma, and female breast. Results: The resulting Bayesian networks represent a large part of the probabilistic knowledge inherent in treatment planning. By populating the networks entirely with data captured from a clinical oncology information management system over the course of several years of normal practice, we were able to create accurate probability tables with no additional time spent by experts or clinicians. These probabilistic descriptions of the treatment planning allow one to check if a treatment plan is within the normal scope of practice, given some initial set of clinical evidence and thereby detect for potential outliers to be flagged for further investigation. Conclusion: The networks developed here support the use of probabilistic models into clinical chart checking for improved detection of potential errors in RT plans.

  12. Human factors evaluation of remote afterloading brachytherapy: Human error and critical tasks in remote afterloading brachytherapy and approaches for improved system performance. Volume 1

    SciTech Connect (OSTI)

    Callan, J.R.; Kelly, R.T.; Quinn, M.L. [Pacific Science and Engineering Group, San Diego, CA (United States)] [and others

    1995-05-01T23:59:59.000Z

    Remote Afterloading Brachytherapy (RAB) is a medical process used in the treatment of cancer. RAB uses a computer-controlled device to remotely insert and remove radioactive sources close to a target (or tumor) in the body. Some RAB problems affecting the radiation dose to the patient have been reported and attributed to human error. To determine the root cause of human error in the RAB system, a human factors team visited 23 RAB treatment sites in the US The team observed RAB treatment planning and delivery, interviewed RAB personnel, and performed walk-throughs, during which staff demonstrated the procedures and practices used in performing RAB tasks. Factors leading to human error in the RAB system were identified. The impact of those factors on the performance of RAB was then evaluated and prioritized in terms of safety significance. Finally, the project identified and evaluated alternative approaches for resolving the safety significant problems related to human error.

  13. RADIOCHEMICAL STUDIES OF NEUTRON DEFICIENT ACTINIDE ISOTOPES

    E-Print Network [OSTI]

    Williams, Kimberly Eve

    2011-01-01T23:59:59.000Z

    Vandenbosch, J.R. Huizenga, Nuclear Fission, Academic Press,J.R. - Huizenga, Nuclear Fission, Academic Press, NY, p.fission barrier at the saddle "c c , - B point and T i s the nuclear

  14. On solar neutrino fluxes in radiochemical experiments

    E-Print Network [OSTI]

    R. N. Ikhsanov; Yu. N. Gnedin; E. V. Miletsky

    2005-12-08T23:59:59.000Z

    We analyze fluctuations of the solar neutrino flux using data from the Homestake, GALLEX, GNO, SAGE and Super Kamiokande experiments. Spectral analysis and direct quantitative estimations show that the most stable variation of the solar neutrino flux is a quasi-five-year periodicity. The revised values of the mean solar neutrino flux are presented in Table 4. They were used to estimate the observed pp-flux of the solar electron neutrinos near the Earth. We consider two alternative explanations for the origin of a variable component of the solar neutrino deficit.

  15. Radiochemical Processing Laboratory Pacific Northwest National

    E-Print Network [OSTI]

    of Energy Office of Science national laboratory where interdisciplinary teams advance science and technology and deliver solutions to America's most intractable problems in energy, the environment, and national security, algorithms, and software that can be efficiently used on the next generation of supercomputers with 1000-fold

  16. Radiochemical Separation & Processing | ornl.gov

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

    of future NASA deep space missions. Building 7930 was originally constructed for thorium fuel cycle research but it was never used for this purpose. It is a three-level,...

  17. Application of Sephadex to radiochemical separations

    SciTech Connect (OSTI)

    Phillips, D.R.; Hamilton, V.T.; Jamriska, D.J. [Los Alamos National Lab., NM (United States); Brzezinski, M.A. [California Univ., Santa Barbara, CA (United States). Dept. of Biological Sciences

    1994-04-01T23:59:59.000Z

    Heteropolymolybdic acid species of a variety of elements bind to Sephadex (dextran cross-linked by epichlorohydrin). Solution pH can be used as a variable to affect the formation of heteropolymolybdates and thus their affinity for Sephadex. Therefore this material may be used to chromatographically separate certain elements which have been reacted with molybdate in solution. In this paper we report the measurement of distribution coefficients on Sephadex for heteropolymolybdates of As, P, Ge, Si, and Se from solutions of varying pH. We also describe the application of the technique to the recovery of Si-32 from proton-irradiated KC1 targets and Ge-68 from proton-irradiated molybdenum targets.

  18. Automation of radiochemical analysis by applying flow

    E-Print Network [OSTI]

    Sánchez, David

    of detection systems, including scintillation counting, a-spectrometers, proportional counters, mass spectrometry and spectrophotometry. ª 2010 Published by Elsevier Ltd. Keywords: Flow-analysis technique; Flow

  19. RADIOCHEMICAL STUDIES OF NEUTRON DEFICIENT ACTINIDE ISOTOPES

    E-Print Network [OSTI]

    Williams, Kimberly Eve

    2011-01-01T23:59:59.000Z

    Nuclei" XI Winter Meeting on Nuclear Physics (January 1973).Nuclei" XI Winter Meeting on Nuclear Physics (January,

  20. Probabilistic growth of large entangled states with low error accumulation

    E-Print Network [OSTI]

    Yuichiro Matsuzaki; Simon C Benjamin; Joseph Fitzsimons

    2009-08-03T23:59:59.000Z

    The creation of complex entangled states, resources that enable quantum computation, can be achieved via simple 'probabilistic' operations which are individually likely to fail. However, typical proposals exploiting this idea carry a severe overhead in terms of the accumulation of errors. Here we describe an method that can rapidly generate large entangled states with an error accumulation that depends only logarithmically on the failure probability. We find that the approach may be practical for success rates in the sub-10% range, while ultimately becoming unfeasible at lower rates. The assumptions that we make, including parallelism and high connectivity, are appropriate for real systems including measurement-induced entanglement. This result therefore shows the feasibility for real devices based on such an approach.

  1. Method and system for reducing errors in vehicle weighing systems

    DOE Patents [OSTI]

    Hively, Lee M. (Philadelphia, TN); Abercrombie, Robert K. (Knoxville, TN)

    2010-08-24T23:59:59.000Z

    A method and system (10, 23) for determining vehicle weight to a precision of <0.1%, uses a plurality of weight sensing elements (23), a computer (10) for reading in weighing data for a vehicle (25) and produces a dataset representing the total weight of a vehicle via programming (40-53) that is executable by the computer (10) for (a) providing a plurality of mode parameters that characterize each oscillatory mode in the data due to movement of the vehicle during weighing, (b) by determining the oscillatory mode at which there is a minimum error in the weighing data; (c) processing the weighing data to remove that dynamical oscillation from the weighing data; and (d) repeating steps (a)-(c) until the error in the set of weighing data is <0.1% in the vehicle weight.

  2. On the Fourier Transform Approach to Quantum Error Control

    E-Print Network [OSTI]

    Hari Dilip Kumar

    2012-08-24T23:59:59.000Z

    Quantum codes are subspaces of the state space of a quantum system that are used to protect quantum information. Some common classes of quantum codes are stabilizer (or additive) codes, non-stabilizer (or non-additive) codes obtained from stabilizer codes, and Clifford codes. These are analyzed in a framework using the Fourier transform on finite groups, the finite group in question being a subgroup of the quantum error group considered. All the classes of codes that can be obtained in this framework are explored, including codes more general than Clifford codes. The error detection properties of one of these more general classes ("direct sums of translates of Clifford codes") are characterized. Examples codes are constructed, and computer code search results presented and analysed.

  3. Comparison of Wind Power and Load Forecasting Error Distributions: Preprint

    SciTech Connect (OSTI)

    Hodge, B. M.; Florita, A.; Orwig, K.; Lew, D.; Milligan, M.

    2012-07-01T23:59:59.000Z

    The introduction of large amounts of variable and uncertain power sources, such as wind power, into the electricity grid presents a number of challenges for system operations. One issue involves the uncertainty associated with scheduling power that wind will supply in future timeframes. However, this is not an entirely new challenge; load is also variable and uncertain, and is strongly influenced by weather patterns. In this work we make a comparison between the day-ahead forecasting errors encountered in wind power forecasting and load forecasting. The study examines the distribution of errors from operational forecasting systems in two different Independent System Operator (ISO) regions for both wind power and load forecasts at the day-ahead timeframe. The day-ahead timescale is critical in power system operations because it serves the unit commitment function for slow-starting conventional generators.

  4. On the efficiency of nondegenerate quantum error correction codes for Pauli channels

    E-Print Network [OSTI]

    Gunnar Bjork; Jonas Almlof; Isabel Sainz

    2009-05-19T23:59:59.000Z

    We examine the efficiency of pure, nondegenerate quantum-error correction-codes for Pauli channels. Specifically, we investigate if correction of multiple errors in a block is more efficient than using a code that only corrects one error per block. Block coding with multiple-error correction cannot increase the efficiency when the qubit error-probability is below a certain value and the code size fixed. More surprisingly, existing multiple-error correction codes with a code length equal or less than 256 qubits have lower efficiency than the optimal single-error correcting codes for any value of the qubit error-probability. We also investigate how efficient various proposed nondegenerate single-error correcting codes are compared to the limit set by the code redundancy and by the necessary conditions for hypothetically existing nondegenerate codes. We find that existing codes are close to optimal.

  5. Scaling behavior of discretization errors in renormalization and improvement constants

    E-Print Network [OSTI]

    Bhattacharya, T; Lee, W; Sharpe, S R; Bhattacharya, Tanmoy; Gupta, Rajan; Lee, Weonjong; Sharpe, Stephen R.

    2006-01-01T23:59:59.000Z

    Non-perturbative results for improvement and renormalization constants needed for on-shell and off-shell O(a) improvement of bilinear operators composed of Wilson fermions are presented. The calculations have been done in the quenched approximation at beta=6.0, 6.2 and 6.4. To quantify residual discretization errors we compare our data with results from other non-perturbative calculations and with one-loop perturbation theory.

  6. Error message recording and reporting in the SLC control system

    SciTech Connect (OSTI)

    Spencer, N.; Bogart, J.; Phinney, N.; Thompson, K.

    1985-04-01T23:59:59.000Z

    Error or information messages that are signaled by control software either in the VAX host computer or the local microprocessor clusters are handled by a dedicated VAX process (PARANOIA). Messages are recorded on disk for further analysis and displayed at the appropriate console. Another VAX process (ERRLOG) can be used to sort, list and histogram various categories of messages. The functions performed by these processes and the algorithms used are discussed.

  7. Error message recording and reporting in the SLC control system

    SciTech Connect (OSTI)

    Spencer, N.; Bogart, J.; Phinney, N.; Thompson, K.

    1985-10-01T23:59:59.000Z

    Error or information messages that are signaled by control software either in the VAX host computer or the local microprocessor clusters are handled by a dedicated VAX process (PARANOIA). Messages are recorded on disk for further analysis and displayed at the appropriate console. Another VAX process (ERRLOG) can be used to sort, list and histogram various categories of messages. The functions performed by these processes and the algorithms used are discussed.

  8. Topics in measurement error and missing data problems

    E-Print Network [OSTI]

    Liu, Lian

    2009-05-15T23:59:59.000Z

    reasons. In this research, the impact of missing genotypes is investigated for high resolution combined linkage and association mapping of quantitative trait loci (QTL). We assume that the genotype data are missing completely at random (MCAR). Two... and asymptotic properties. In the genetics study, a new method is proposed to account for the missing genotype in a combined linkage and association study. We have concluded that this method does not improve power but it will provide better type I error rates...

  9. Runtime Detection of C-Style Errors in UPC Code

    SciTech Connect (OSTI)

    Pirkelbauer, P; Liao, C; Panas, T; Quinlan, D

    2011-09-29T23:59:59.000Z

    Unified Parallel C (UPC) extends the C programming language (ISO C 99) with explicit parallel programming support for the partitioned global address space (PGAS), which provides a global memory space with localized partitions to each thread. Like its ancestor C, UPC is a low-level language that emphasizes code efficiency over safety. The absence of dynamic (and static) safety checks allows programmer oversights and software flaws that can be hard to spot. In this paper, we present an extension of a dynamic analysis tool, ROSE-Code Instrumentation and Runtime Monitor (ROSECIRM), for UPC to help programmers find C-style errors involving the global address space. Built on top of the ROSE source-to-source compiler infrastructure, the tool instruments source files with code that monitors operations and keeps track of changes to the system state. The resulting code is linked to a runtime monitor that observes the program execution and finds software defects. We describe the extensions to ROSE-CIRM that were necessary to support UPC. We discuss complications that arise from parallel code and our solutions. We test ROSE-CIRM against a runtime error detection test suite, and present performance results obtained from running error-free codes. ROSE-CIRM is released as part of the ROSE compiler under a BSD-style open source license.

  10. Complementary Relativity

    E-Print Network [OSTI]

    P. F. Gonzalez-Diaz

    1994-04-07T23:59:59.000Z

    Special theory of relativity has been formulated in a vacuum momentum-energy representation which is equivalent to Einstein special relativity and predicts just the same results as it. Although in this sense such a formulation would be at least classically useless, its consistent extension to noninertial frames produces a momentum-energy metric which behaves as a new dynamical quantity that is here interpreted in terms of a cosmological field. This new field would be complementary to gravity in that its strength varies inversely to as that of gravity does. Using a strong-field approximation, we suggest that the existence of this cosmological field would induce a shift of luminous energy which could justify the existence of all the assumed invisible matter in the universe, so as the high luminousities found in active galactic nuclei and quasars.

  11. BEAM RELATED SYSTEMATICS IN HIGGS BOSON MASS MEASUREMENT

    E-Print Network [OSTI]

    BEAM RELATED SYSTEMATICS IN HIGGS BOSON MASS MEASUREMENT A.RASPEREZA DESY, Notkestrasse 85, D­22607#erential luminosity spectrum measurements and beam energy spread on the precision of the Higgs boson mass measurement possible impact of the beam related systematic errors on the Higgs boson mass measurement is discussed

  12. Recompile if your codes run into MPICH error after the maintenance...

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

    Recompile if your codes run into MPICH errors after the maintenance on 6252014 Recompile if your codes run into MPICH error after the maintenance on 6252014 June 27, 2014 (0...

  13. Design techniques for graph-based error-correcting codes and their applications

    E-Print Network [OSTI]

    Lan, Ching Fu

    2006-04-12T23:59:59.000Z

    -correcting (channel) coding. The main idea of error-correcting codes is to add redundancy to the information to be transmitted so that the receiver can explore the correlation between transmitted information and redundancy and correct or detect errors caused...

  14. V-109: Google Chrome WebKit Type Confusion Error Lets Remote...

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

    9: Google Chrome WebKit Type Confusion Error Lets Remote Users Execute Arbitrary Code V-109: Google Chrome WebKit Type Confusion Error Lets Remote Users Execute Arbitrary Code...

  15. T-545: RealPlayer Heap Corruption Error in 'vidplin.dll' Lets...

    Energy Savers [EERE]

    T-545: RealPlayer Heap Corruption Error in 'vidplin.dll' Lets Remote Users Execute Arbitrary Code T-545: RealPlayer Heap Corruption Error in 'vidplin.dll' Lets Remote Users Execute...

  16. Cognitive analysis of students' errors and misconceptions in variables, equations, and functions

    E-Print Network [OSTI]

    Li, Xiaobao

    2009-05-15T23:59:59.000Z

    such issues, three basic algebra concepts - variable, equation, and function – are used to analyze students’ errors, possible buggy algorithms, and the conceptual basis of these errors: misconceptions. Through the research on these three basic concepts...

  17. Related Links

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOnItemResearch > TheNuclear Press Releases 2014References by Websitehome / Related Links

  18. Using Graphs for Fast Error Term Approximation of Time-varying Datasets

    SciTech Connect (OSTI)

    Nuber, C; LaMar, E C; Pascucci, V; Hamann, B; Joy, K I

    2003-02-27T23:59:59.000Z

    We present a method for the efficient computation and storage of approximations of error tables used for error estimation of a region between different time steps in time-varying datasets. The error between two time steps is defined as the distance between the data of these time steps. Error tables are used to look up the error between different time steps of a time-varying dataset, especially when run time error computation is expensive. However, even the generation of error tables itself can be expensive. For n time steps, the exact error look-up table (which stores the error values for all pairs of time steps in a matrix) has a memory complexity and pre-processing time complexity of O(n2), and O(1) for error retrieval. Our approximate error look-up table approach uses trees, where the leaf nodes represent original time steps, and interior nodes contain an average (or best-representative) of the children nodes. The error computed on an edge of a tree describes the distance between the two nodes on that edge. Evaluating the error between two different time steps requires traversing a path between the two leaf nodes, and accumulating the errors on the traversed edges. For n time steps, this scheme has a memory complexity and pre-processing time complexity of O(nlog(n)), a significant improvement over the exact scheme; the error retrieval complexity is O(log(n)). As we do not need to calculate all possible n2 error terms, our approach is a fast way to generate the approximation.

  19. T-719:Apache mod_proxy_ajp HTTP Processing Error Lets Remote Users Deny Service

    Broader source: Energy.gov [DOE]

    A remote user can cause the backend server to remain in an error state until the retry timeout expires.

  20. Bayesian Semiparametric Density Deconvolution and Regression in the Presence of Measurement Errors

    E-Print Network [OSTI]

    Sarkar, Abhra

    2014-06-24T23:59:59.000Z

    BAYESIAN SEMIPARAMETRIC DENSITY DECONVOLUTION AND REGRESSION IN THE PRESENCE OF MEASUREMENT ERRORS A Dissertation by ABHRA SARKAR Submitted to the Office of Graduate and Professional Studies of Texas A&M University in partial fulfillment... Copyright 2014 Abhra Sarkar ABSTRACT Although the literature on measurement error problems is quite extensive, so- lutions to even the most fundamental measurement error problems like density de- convolution and regression with errors...

  1. Modified automatic time error control and inadvertent interchange reduction for the WSCC interconnected power systems

    SciTech Connect (OSTI)

    McReynolds, W.L. (Bonneville Power Administration, Vancouver, WA (US)); Badley, D.E. (N.W. Power Pool, Coordinating Office, Portland, OR (US))

    1991-08-01T23:59:59.000Z

    This paper describes an automatic generation control (AGC) system that simultaneously reduces time error and accumulated inadvertent interchange energy in interconnected power system. This method is automatic time error and accumulated inadvertent interchange reduction (AIIR). With this method control areas help correct the system time error when doing so also tends to correct accumulated inadvertent interchange. Thus in one step accumulated inadvertent interchange and system time error are corrected.

  2. The Baryonic Tully Fisher Relation

    E-Print Network [OSTI]

    Sebastian Gurovich; Stacy S. McGaugh; Ken C. Freeman; Helmut Jerjen; Lister Staveley-Smith; W. J. G. De Blok

    2004-11-17T23:59:59.000Z

    We validate the baryonic Tully Fisher (BTF) relation by exploring the Tully Fish er (TF) and BTF properties of optically and HI-selected disk galaxies. The data includes galaxies from: Sakai et al. (2000) calibrator sample; McGaugh et al. (2000: MC2000) I-band sample; and 18 newly acquired HI-selected field dwarf galaxies observed with the ANU 2.3m telescope and the ATNF Parkes telescope from Gurovich's thesis sample (2005). As in MC2000, we re-cast the TF and BTF relations as relationships between baryo n mass and W_{20}. First we report some numerical errors in MC2000. Then, we c alculate weighted bi-variate linear fits to the data, and finally we compare the fits of the intrinsically fainter dwarfs with the brighter galaxies of Sakai et al. (2000). With regards to the local calibrator disk galaxies of Sakai et al. (2000), our results suggest that the BTF relation is indeed tighter than the T F relation and that the slopes of the BTF relations are statistically flatter th an the equivalent TF relations. Further, for the fainter galaxies which include the I-band MCG2000 and HI-selected galaxies of Gurovich's thesis sample, we calc ulate a break from a simple power law model because of what appears to be real c osmic scatter. Not withstanding this point, the BTF models are marginally better models than the equivalent TF ones with slightly smaller reduced chi^2.

  3. Design error diagnosis and correction in digital circuits

    E-Print Network [OSTI]

    Nayak, Debashis

    1998-01-01T23:59:59.000Z

    , each primary output would impose a con- straint on the on-set and off-set. These constraints should be combined together to derive the final on-set and off-set of the new function. Proposition 2: [9, 18, 17] Let i be the index of the primary outputs... to this equation are deleted. The work in [17] is also based on Boolean comparisons and applies to multiple errors. Overall, their method does not guarantee a solution. Test-vector simulation methods proposed for the DEDC problem include [20, 22, 26]. In [20...

  4. An error correcting procedure for imperfect supervised, nonparametric classification

    E-Print Network [OSTI]

    Ferrell, Dennis Ray

    1973-01-01T23:59:59.000Z

    ON INFORMATION THEORY . is active) . I'or simplicity in writing, Pr(B=B. ) will be ab- j breviated by Pr(B. ), and f(x/B=B ) will be abbreviated by j f (x/B. ) . The basic problem is, upon observing x, to determine j which class is active. If complete... to be B , r (x), is r (x) ( L Pr(B /x) i=1 The conditional probability of error can be minimized over j by assigning to a measurement x, the label value B such that minimizes r (x) . The rule which will do this is Bayes rule, b*. The resulting...

  5. Optimum decoding of TCM in the presence of phase errors

    E-Print Network [OSTI]

    Han, Jae Choong

    1990-01-01T23:59:59.000Z

    discussed. Our approach is to assume that intersymbol interference has been effectively removed by the equalizer while the phase tracking scheme has partially removed the phase jitter, in which case the output of the equalizer will have a slowly varying.... The DAL [I] used the decision at the output ol' the Viterbi decoder to demodulate the local c&arrier. The performance degradation of coded 8-PSK when disturbed by recovered carrier phase error and jitter is investigatecl in i'Gi, in which simulation...

  6. Effects of color coding on keying time and errors

    E-Print Network [OSTI]

    Wooldridge, Brenda Gail

    1983-01-01T23:59:59.000Z

    were to determine the effects if any oi' color coding upon the error rate and location time of special func- tion keys on a computer keyboard. An ACT-YA CRT keyboard interfaced with a Kromemco microcomputer was used. There were 84 high schoool... to comnunicate with more and more computer-like devices. The most common computer/human interface is the terminal, consisting of a display screen, and keyboard. The format and layout on the display screen of computer-generated information is generally...

  7. Common Errors and Innovative Solutions Transcript | Department of Energy

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

    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 DataDepartment of Energy Your Density Isn't Your Destiny: Theof"Wave the WhiteNational| Department ofCommittee Report forCommon Errors

  8. Trade-off of lossless source coding error exponents Cheng Chang Anant Sahai

    E-Print Network [OSTI]

    Sahai, Anant

    Trade-off of lossless source coding error exponents Cheng Chang Anant Sahai HP Labs, Palo Alto EECS, UC Berkeley ISIT 2008 Chang (HP Labs), Sahai ( UC Berkeley) Error Exponents trade-off ISIT 2008 1 (HP Labs), Sahai ( UC Berkeley) Error Exponents trade-off ISIT 2008 2 / 14 #12;Stabilizing an unstable

  9. A Memory Soft Error Measurement on Production Systems Xin Li Kai Shen Michael C. Huang

    E-Print Network [OSTI]

    Shen, Kai

    A Memory Soft Error Measurement on Production Systems Xin Li Kai Shen Michael C. Huang University and dealing with these soft (or transient) errors is impor- tant for system reliability. Several earlier for memory soft error measurement on production systems where performance impact on existing running ap

  10. A Memory Soft Error Measurement on Production Systems # Xin Li Kai Shen Michael C. Huang

    E-Print Network [OSTI]

    Shen, Kai

    A Memory Soft Error Measurement on Production Systems # Xin Li Kai Shen Michael C. Huang University and dealing with these soft (or transient) errors is impor­ tant for system reliability. Several earlier for memory soft error measurement on production systems where performance impact on existing running ap

  11. An Energy-Aware Fault Tolerant Scheduling Framework for Soft Error Resilient Cloud Computing Systems

    E-Print Network [OSTI]

    Pedram, Massoud

    . INTRODUCTION Soft error resiliency has become a major concern for modern computing systems as CMOS technology systems [8, 9]. Although it is impossible to entirely eliminate spontaneous soft errors, they canAn Energy-Aware Fault Tolerant Scheduling Framework for Soft Error Resilient Cloud Computing

  12. Digication Error Message:"Your username is already in use by another account."

    E-Print Network [OSTI]

    Barrash, Warren

    Digication Error Message:"Your username is already in use by another account." You may need you have one). If you receive the error message below, here's how to log into your Digication account. (For example, if the error message appeared when using your employee account, switch to your employee

  13. Non-Concurrent Error Detection and Correction in Fault-Tolerant Discrete-Time LTI

    E-Print Network [OSTI]

    Hadjicostis, Christoforos

    Non-Concurrent Error Detection and Correction in Fault-Tolerant Discrete-Time LTI Dynamic Systems encoded form and allow error detection and correction to be performed through concurrent parity checks (i that allows parity checks to capture the evolution of errors in the system and, based on non-concurrent parity

  14. Error Analysis of Ia Supernova and Query on Cosmic Dark Energy

    E-Print Network [OSTI]

    Qiuhe Peng; Yiming Hu; Kun Wang; Yu Liang

    2012-01-16T23:59:59.000Z

    Some serious faults in error analysis of observations for SNIa have been found. Redoing the same error analysis of SNIa, by our idea, it is found that the average total observational error of SNIa is obviously greater than $0.55^m$, so we can't decide whether the universe is accelerating expansion or not.

  15. Exposure Measurement Error in Time-Series Studies of Air Pollution: Concepts and Consequences

    E-Print Network [OSTI]

    Dominici, Francesca

    1 Exposure Measurement Error in Time-Series Studies of Air Pollution: Concepts and Consequences S in time-series studies 1 11/11/99 Keywords: measurement error, air pollution, time series, exposure of air pollution and health. Because measurement error may have substantial implications for interpreting

  16. Aperiodic dynamical decoupling sequences in presence of pulse errors

    E-Print Network [OSTI]

    Zhi-Hui Wang; V. V. Dobrovitski

    2011-01-12T23:59:59.000Z

    Dynamical decoupling (DD) is a promising tool for preserving the quantum states of qubits. However, small imperfections in the control pulses can seriously affect the fidelity of decoupling, and qualitatively change the evolution of the controlled system at long times. Using both analytical and numerical tools, we theoretically investigate the effect of the pulse errors accumulation for two aperiodic DD sequences, the Uhrig's DD UDD) protocol [G. S. Uhrig, Phys. Rev. Lett. {\\bf 98}, 100504 (2007)], and the Quadratic DD (QDD) protocol [J. R. West, B. H. Fong and D. A. Lidar, Phys. Rev. Lett {\\bf 104}, 130501 (2010)]. We consider the implementation of these sequences using the electron spins of phosphorus donors in silicon, where DD sequences are applied to suppress dephasing of the donor spins. The dependence of the decoupling fidelity on different initial states of the spins is the focus of our study. We investigate in detail the initial drop in the DD fidelity, and its long-term saturation. We also demonstrate that by applying the control pulses along different directions, the performance of QDD protocols can be noticeably improved, and explain the reason of such an improvement. Our results can be useful for future implementations of the aperiodic decoupling protocols, and for better understanding of the impact of errors on quantum control of spins.

  17. Bounded-Error Quantum State Identification and Exponential Separations in Communication Complexity

    E-Print Network [OSTI]

    Dmitry Gavinsky; Julia Kempe; Oded Regev; Ronald de Wolf

    2005-11-02T23:59:59.000Z

    We consider the problem of bounded-error quantum state identification: given either state \\alpha_0 or state \\alpha_1, we are required to output `0', `1' or `?' ("don't know"), such that conditioned on outputting `0' or `1', our guess is correct with high probability. The goal is to maximize the probability of not outputting `?'. We prove a direct product theorem: if we're given two such problems, with optimal probabilities a and b, respectively, and the states in the first problem are pure, then the optimal probability for the joint bounded-error state identification problem is O(ab). Our proof is based on semidefinite programming duality and may be of wider interest. Using this result, we present two exponential separations in the simultaneous message passing model of communication complexity. Both are shown in the strongest possible sense. First, we describe a relation that can be computed with O(log n) classical bits of communication in the presence of shared randomness, but needs Omega(n^{1/3}) communication if the parties don't share randomness, even if communication is quantum. This shows the optimality of Yao's recent exponential simulation of shared-randomness protocols by quantum protocols without shared randomness. Second, we describe a relation that can be computed with O(log n) classical bits of communication in the presence of shared entanglement, but needs Omega((n/log n)^{1/3}) communication if the parties share randomness but no entanglement, even if communication is quantum. This is the first example in communication complexity of a situation where entanglement buys you much more than quantum communication does.

  18. Labor Relations

    Broader source: Energy.gov [DOE]

    Addressing Poor Performance What Happens if an Employee’s Performance is Below the Meets Expectations (ME) level? Any time during the appraisal period an employee demonstrates that he/she is performing below the ME level in at least one critical element, the Rating Official should contact his/her Human Resources Office for guidance and: •If performance is at the Needs Improvement (NI) level; issue the employee a Performance Assistance Plan (PAP); or •If performance is at the Fails to Meet Expectations (FME) level; issue the employee a Performance Improvement Plan (PIP). Department of Energy Headquarters and The National Treasury Employees Union (NTEU) Collective Bargaining Agreement The National Treasury Employees Union (NTEU) is the exclusive representative of bargaining unit employees at the Department of Energy Headquarters offices in the Washington DC metropolitan area. The terms and conditions of this agreement have been negotiated by DOE and NTEU, and prescribe their respective rights and obligations in matters related to conditions of employment. Headquarters 1187 Request For Payroll Deductions For Labor Organization Dues The Request for Payroll Deduction for Labor Organization Dues (SF-1187) permits eligible employees, who are members of the National Treasury Employees Union (NTEU), to authorize voluntary allotments from their compensation. Headquarters 1188 Cancellation Of Payroll Deductions For Labor Organization Dues The Cancellation of Payroll Deductions for Labor Organizations Dues (SF-1188) permits eligible employees, who are members of the National Treasury Employees Union (NTEU), to cancel dues allotments. The National Treasury Employees Union, Collective Bargaining Agreement, Article 9 – Dues Withholding This article is for the purpose of permitting eligible employees, who are members of the National Treasury Employees Union (NTEU), to authorize voluntary allotments from their compensation.

  19. 8 Equivalence Relations 8.1 Relations

    E-Print Network [OSTI]

    Gera, Ralucca

    8 Equivalence Relations 8.1 Relations 1. for sets A and B we define a relation from A to B have that if (a, b) R and (b, c) R then (a, c) R 8.3 Equivalence Relations 1. a relation is an equivalence relation if it is reflexive, symmetric and transitive 2. if a relation R on a set

  20. Coordinated joint motion control system with position error correction

    DOE Patents [OSTI]

    Danko, George (Reno, NV)

    2011-11-22T23:59:59.000Z

    Disclosed are an articulated hydraulic machine supporting, control system and control method for same. The articulated hydraulic machine has an end effector for performing useful work. The control system is capable of controlling the end effector for automated movement along a preselected trajectory. The control system has a position error correction system to correct discrepancies between an actual end effector trajectory and a desired end effector trajectory. The correction system can employ one or more absolute position signals provided by one or more acceleration sensors supported by one or more movable machine elements. Good trajectory positioning and repeatability can be obtained. A two-joystick controller system is enabled, which can in some cases facilitate the operator's task and enhance their work quality and productivity.

  1. Statistical Error analysis of Nucleon-Nucleon phenomenological potentials

    E-Print Network [OSTI]

    R. Navarro Perez; J. E. Amaro; E. Ruiz Arriola

    2014-06-10T23:59:59.000Z

    Nucleon-Nucleon potentials are commonplace in nuclear physics and are determined from a finite number of experimental data with limited precision sampling the scattering process. We study the statistical assumptions implicit in the standard least squares fitting procedure and apply, along with more conventional tests, a tail sensitive quantile-quantile test as a simple and confident tool to verify the normality of residuals. We show that the fulfilment of normality tests is linked to a judicious and consistent selection of a nucleon-nucleon database. These considerations prove crucial to a proper statistical error analysis and uncertainty propagation. We illustrate these issues by analyzing about 8000 proton-proton and neutron-proton scattering published data. This enables the construction of potentials meeting all statistical requirements necessary for statistical uncertainty estimates in nuclear structure calculations.

  2. Dosimetric influences of rotational setup errors on head and neck carcinoma intensity-modulated radiation therapy treatments

    SciTech Connect (OSTI)

    Fu, Weihua, E-mail: fuw@upmc.edu [Department of Radiation Oncology, University of Pittsburgh Cancer Institute, Pittsburgh, PA (United States); Yang, Yong [Department of Radiation Oncology, University of Pittsburgh Cancer Institute, Pittsburgh, PA (United States); Yue, Ning J. [Department of Radiation Oncology, UMDNJ-Robert Wood Johnson Medical School, The Cancer Institute of New Jersey, New Brunswick, NJ (United States); Heron, Dwight E.; Saiful Huq, M. [Department of Radiation Oncology, University of Pittsburgh Cancer Institute, Pittsburgh, PA (United States)

    2013-07-01T23:59:59.000Z

    The purpose of this work is to investigate the dosimetric influence of the residual rotational setup errors on head and neck carcinoma (HNC) intensity-modulated radiation therapy (IMRT) with routine 3 translational setup corrections and the adequacy of this routine correction. A total of 66 kV cone beam computed tomography (CBCT) image sets were acquired on the first day of treatment and weekly thereafter for 10 patients with HNC and were registered with the corresponding planning CT images, using 2 3-dimensional (3D) rigid registration methods. Method 1 determines the translational setup errors only, and method 2 determines 6-degree (6D) setup errors, i.e., both rotational and translational setup errors. The 6D setup errors determined by method 2 were simulated in the treatment planning system and were then corrected using the corresponding translational data determined by method 1. For each patient, dose distributions for 6 to 7 fractions with various setup uncertainties were generated, and a plan sum was created to determine the total dose distribution through an entire course and was compared with the original treatment plan. The average rotational setup errors were 0.7°± 1.0°, 0.1°±1.9°, and 0.3°±0.7° around left-right (LR), anterior-posterior (AP), and superior-inferior (SI) axes, respectively. With translational corrections determined by method 1 alone, the dose deviation could be large from fraction to fraction. For a certain fraction, the decrease in prescription dose coverage (V{sub p}) and the dose that covers 95% of target volume (D{sub 95}) could be up to 15.8% and 13.2% for planning target volume (PTV), and the decrease in V{sub p} and the dose that covers 98% of target volume (D{sub 98}) could be up to 9.8% and 5.5% for the clinical target volume (CTV). However, for the entire treatment course, for PTV, the plan sum showed that the average V{sub p} was decreased by 4.2% and D{sub 95} was decreased by 1.2 Gy for the first phase of IMRT with a prescription dose of 50 Gy. For CTV, the plan sum showed that the average V{sub p} was decreased by 0.8% and D{sub 98}, relative to prescription dose, was not decreased. Among these 10 patients, the plan sum showed that the dose to 1-cm{sup 3} spinal cord (D{sub 1cm{sup 3}}) increased no more than 1 Gy for 7 patients and more than 2 Gy for 2 patients. The average increase in D{sub 1cm{sup 3}} was 1.2 Gy. The study shows that, with translational setup error correction, the overall CTV V{sub p} has a minor decrease with a 5-mm margin from CTV to PTV. For the spinal cord, a noticeable dose increase was observed for some patients. So to decide whether the routine clinical translational setup error correction is adequate for this HNC IMRT technique, the dosimetric influence of rotational setup errors should be evaluated carefully from case to case when organs at risk are in close proximity to the target.

  3. Contagious error sources would need time travel to prevent quantum computation

    E-Print Network [OSTI]

    Gil Kalai; Greg Kuperberg

    2015-05-07T23:59:59.000Z

    We consider an error model for quantum computing that consists of "contagious quantum germs" that can infect every output qubit when at least one input qubit is infected. Once a germ actively causes error, it continues to cause error indefinitely for every qubit it infects, with arbitrary quantum entanglement and correlation. Although this error model looks much worse than quasi-independent error, we show that it reduces to quasi-independent error with the technique of quantum teleportation. The construction, which was previously described by Knill, is that every quantum circuit can be converted to a mixed circuit with bounded quantum depth. We also consider the restriction of bounded quantum depth from the point of view of quantum complexity classes.

  4. Method and apparatus for detecting timing errors in a system oscillator

    DOE Patents [OSTI]

    Gliebe, Ronald J. (Library, PA); Kramer, William R. (Bethel Park, PA)

    1993-01-01T23:59:59.000Z

    A method of detecting timing errors in a system oscillator for an electronic device, such as a power supply, includes the step of comparing a system oscillator signal with a delayed generated signal and generating a signal representative of the timing error when the system oscillator signal is not identical to the delayed signal. An LED indicates to an operator that a timing error has occurred. A hardware circuit implements the above-identified method.

  5. A Field Analysis of System-level Effects of Soft Errors Occurring in Microprocessors used in Information Systems

    E-Print Network [OSTI]

    Kaeli, David R.

    A Field Analysis of System-level Effects of Soft Errors Occurring in Microprocessors used, will generate sufficient charge to cause a soft error. In the absence of error correction schemes, the system rates for unprotected systems [8]. Soft errors are emerging as a significant obstacle to increasing

  6. A Field Failure Analysis of Microprocessors used in Information Systems Soft errors due to cosmic particles are a growing

    E-Print Network [OSTI]

    Kaeli, David R.

    A Field Failure Analysis of Microprocessors used in Information Systems Abstract Soft errors due from error logs and error traces of the microprocessors collected from systems in the field. Soft focus on soft error rate (SER) estimation of microprocessors used in information systems by analyzing

  7. Pitch Error and Shear Web Disbond Detection on Wind Turbine Blades...

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

    American Institute of Aeronautics and Astronautics 1 Pitch Error and Shear Web Disbond Detection on Wind Turbine Blades for Offshore Structural Health and Prognostics Management...

  8. Accounting for model error due to unresolved scales within ensemble Kalman filtering

    E-Print Network [OSTI]

    Lewis Mitchell; Alberto Carrassi

    2014-09-02T23:59:59.000Z

    We propose a method to account for model error due to unresolved scales in the context of the ensemble transform Kalman filter (ETKF). The approach extends to this class of algorithms the deterministic model error formulation recently explored for variational schemes and extended Kalman filter. The model error statistic required in the analysis update is estimated using historical reanalysis increments and a suitable model error evolution law. Two different versions of the method are described; a time-constant model error treatment where the same model error statistical description is time-invariant, and a time-varying treatment where the assumed model error statistics is randomly sampled at each analysis step. We compare both methods with the standard method of dealing with model error through inflation and localization, and illustrate our results with numerical simulations on a low order nonlinear system exhibiting chaotic dynamics. The results show that the filter skill is significantly improved through the proposed model error treatments, and that both methods require far less parameter tuning than the standard approach. Furthermore, the proposed approach is simple to implement within a pre-existing ensemble based scheme. The general implications for the use of the proposed approach in the framework of square-root filters such as the ETKF are also discussed.

  9. V-172: ISC BIND RUNTIME_CHECK Error Lets Remote Users Deny Service...

    Broader source: Energy.gov (indexed) [DOE]

    the target resolver to crash IMPACT: Triggering this defect will cause the affected server to exit with an error, denying service to recursive DNS clients that use that...

  10. Efficient Small Area Estimation in the Presence of Measurement Error in Covariates

    E-Print Network [OSTI]

    Singh, Trijya

    2012-10-19T23:59:59.000Z

    for the four estimators, yi, eYiS, bYiME, bYiSIMEX when the number of small areas is 100, measure- ment error variance Ci = 3 and 2v = 4. k is the percentage of areas having auxiliary information measured with error. : : : : : : : 52 2 Absolute value... 3 Jackknife estimates of the mean squared error of the Lohr-Ybarra estimator bYiME and the SIMEX estimator bYiSIMEX when the num- ber of small areas is 100, measurement error variance Ci = 2 and 2v = 4. k is the percentage of areas having...

  11. Choose and choose again: appearance-reality errors, pragmatics and logical ability

    E-Print Network [OSTI]

    Deák, Gedeon O; Enright, Brian

    2006-01-01T23:59:59.000Z

    Development, 62, 753–766. Speer, J.R. (1984). Two practicalolder still make errors (e.g. Speer, 1984), some preschool

  12. Choose and choose again: appearance-reality errors, pragmatics and logical ability.

    E-Print Network [OSTI]

    Deák, Gedeon O; Enright, Brian

    2006-01-01T23:59:59.000Z

    Development, 62, 753-766. Speer, J. R. (1984). Two practicalolder still make errors (e.g. , Speer, 1984), some preschool

  13. The Importance of Run-time Error Detection Glenn R. Luecke 1

    E-Print Network [OSTI]

    Luecke, Glenn R.

    Iowa State University's High Performance Computing Group, Iowa State University, Ames, Iowa 50011, USA State University's High Performance Computing Group for evaluating run-time error detection capabilities

  14. Correction of motion measurement errors beyond the range resolution of a synthetic aperture radar

    DOE Patents [OSTI]

    Doerry, Armin W. (Albuquerque, NM); Heard, Freddie E. (Albuquerque, NM); Cordaro, J. Thomas (Albuquerque, NM)

    2008-06-24T23:59:59.000Z

    Motion measurement errors that extend beyond the range resolution of a synthetic aperture radar (SAR) can be corrected by effectively decreasing the range resolution of the SAR in order to permit measurement of the error. Range profiles can be compared across the slow-time dimension of the input data in order to estimate the error. Once the error has been determined, appropriate frequency and phase correction can be applied to the uncompressed input data, after which range and azimuth compression can be performed to produce a desired SAR image.

  15. Anisotropic mesh adaptation for solution of finite element problems using hierarchical edge-based error estimates

    SciTech Connect (OSTI)

    Lipnikov, Konstantin [Los Alamos National Laboratory; Agouzal, Abdellatif [UNIV DE LYON; Vassilevski, Yuri [Los Alamos National Laboratory

    2009-01-01T23:59:59.000Z

    We present a new technology for generating meshes minimizing the interpolation and discretization errors or their gradients. The key element of this methodology is construction of a space metric from edge-based error estimates. For a mesh with N{sub h} triangles, the error is proportional to N{sub h}{sup -1} and the gradient of error is proportional to N{sub h}{sup -1/2} which are optimal asymptotics. The methodology is verified with numerical experiments.

  16. Towards grammaticality and fluency : characterizing and correcting ESL errors using dictionary random walks and other means

    E-Print Network [OSTI]

    West, Randy

    2011-01-01T23:59:59.000Z

    2.1 Noisy Channel Models in SMT . . . . . . . .esl errors using phrasal smt techniques. In Proceedings ofet al. (2006) use phrasal SMT techniques to identify and

  17. Error-Induced Beam Degradation in Fermilab's Accelerators

    SciTech Connect (OSTI)

    Yoon, Phil S.; /Rochester U.

    2007-08-01T23:59:59.000Z

    In Part I, three independent models of Fermilab's Booster synchrotron are presented. All three models are constructed to investigate and explore the effects of unavoidable machine errors on a proton beam under the influence of space-charge effects. The first is a stochastic noise model. Electric current fluctuations arising from power supplies are ubiquitous and unavoidable and are a source of instabilities in accelerators of all types. A new noise module for generating the Ornstein-Uhlenbeck (O-U) stochastic noise is first created and incorporated into the existing Object-oriented Ring Beam Injection and Tracking (ORBIT-FNAL) package. After being convinced with a preliminary model that the noise, particularly non-white noise, does matter to beam quality, we proceeded to measure directly current ripples and common-mode voltages from all four Gradient Magnet Power Supplies (GMPS). Then, the current signals are Fourier-analyzed. Based upon the power spectra of current signals, we tune up the Ornstein-Uhlnbeck noise model. As a result, we are able to closely match the frequency spectra between current measurements and the modeled O-U stochastic noise. The stochastic noise modeled upon measurements is applied to the Booster beam in the presence of the full space-charge effects. This noise model, accompanied by a suite of beam diagnostic calculations, manifests that the stochastic noise, impinging upon the beam and coupled to the space-charge effects, can substantially enhance the beam degradation process throughout the injection period. The second model is a magnet misalignment model. It is the first time to utilize the latest beamline survey data for building a magnet-by-magnet misalignment model. Given as-found survey fiducial coordinates, we calculate all types of magnet alignment errors (station error, pitch, yaw, roll, twists, etc.) are implemented in the model. We then follow up with statistical analysis to understand how each type of alignment errors are currently distributed around the Booster ring. The ORBIT-FNAL simulations with space charge included show that rolled magnets, in particular, have substantial effects on the Booster beam. This survey-data-based misalignment model can predict how much improvement in machine performance can be achieved if prioritized or selected realignment work is done. In other words, this model can help us investigate different realignment scenarios for the Booster. In addition, by calculating average angular kicks from all misaligned magnets, we expect this misalignment model to serve as guidelines for resetting the strengths of corrector magnets. The third model for the Booster is a time-structured multi-turn injection model. Microbunch-injection scenarios with different time structures are explored in the presence of longitudinal space-charge force. Due to the radio-frequency (RF) bucket mismatch between the Booster and the 400-MeV transferline, RF-phase offsets can be parasitically introduced during the injection process. Using the microbunch multiturn injection, we carry out ESME-ORBIT-combined simulations. This combined simulation allows us to investigate realistic charge-density distribution under full space-charge effects. The growth rates of transverse emittances turned out to be 20 % in both planes. This microbunch-injection scenarios is also applicable to the future 8-GeV Superconducting Linac Proton Driver and the upgraded Main Injector at Fermilab. In Part II, the feasibility of momentum-stacking method of proton beams is investigated. When the Run2 collider program at Fermilab comes to an end around year 2009, the present antiproton source can be available for other purposes. One possible application is to convert the antiproton accumulator to a proton accumulator, so that the beam power from the Main Injector could be enhanced by a factor of four. Through adiabatic processes and optimized parameters of synchrotron motion, we demonstrate with an aid of the ESME code that up to four proton batches can be stacked in the momentum acceptance available for the Accumulator ri

  18. A surrogate-based uncertainty quantification with quantifiable errors

    SciTech Connect (OSTI)

    Bang, Y.; Abdel-Khalik, H. S. [North Carolina State Univ., Raleigh, NC 27695 (United States)

    2012-07-01T23:59:59.000Z

    Surrogate models are often employed to reduce the computational cost required to complete uncertainty quantification, where one is interested in propagating input parameters uncertainties throughout a complex engineering model to estimate responses uncertainties. An improved surrogate construction approach is introduced here which places a premium on reducing the associated computational cost. Unlike existing methods where the surrogate is constructed first, then employed to propagate uncertainties, the new approach combines both sensitivity and uncertainty information to render further reduction in the computational cost. Mathematically, the reduction is described by a range finding algorithm that identifies a subspace in the parameters space, whereby parameters uncertainties orthogonal to the subspace contribute negligible amount to the propagated uncertainties. Moreover, the error resulting from the reduction can be upper-bounded. The new approach is demonstrated using a realistic nuclear assembly model and compared to existing methods in terms of computational cost and accuracy of uncertainties. Although we believe the algorithm is general, it will be applied here for linear-based surrogates and Gaussian parameters uncertainties. The generalization to nonlinear models will be detailed in a separate article. (authors)

  19. Plasma dynamics and a significant error of macroscopic averaging

    E-Print Network [OSTI]

    Marek A. Szalek

    2005-05-22T23:59:59.000Z

    The methods of macroscopic averaging used to derive the macroscopic Maxwell equations from electron theory are methodologically incorrect and lead in some cases to a substantial error. For instance, these methods do not take into account the existence of a macroscopic electromagnetic field EB, HB generated by carriers of electric charge moving in a thin layer adjacent to the boundary of the physical region containing these carriers. If this boundary is impenetrable for charged particles, then in its immediate vicinity all carriers are accelerated towards the inside of the region. The existence of the privileged direction of acceleration results in the generation of the macroscopic field EB, HB. The contributions to this field from individual accelerated particles are described with a sufficient accuracy by the Lienard-Wiechert formulas. In some cases the intensity of the field EB, HB is significant not only for deuteron plasma prepared for a controlled thermonuclear fusion reaction but also for electron plasma in conductors at room temperatures. The corrected procedures of macroscopic averaging will induce some changes in the present form of plasma dynamics equations. The modified equations will help to design improved systems of plasma confinement.

  20. Trapped Ion Quantum Error Correcting Protocols Using Only Global Operations

    E-Print Network [OSTI]

    Joseph F. Goodwin; Benjamin J. Brown; Graham Stutter; Howard Dale; Richard C. Thompson; Terry Rudolph

    2014-07-07T23:59:59.000Z

    Quantum error-correcting codes are many-body entangled states that are prepared and measured using complex sequences of entangling operations. Each element of such an entangling sequence introduces noise to delicate quantum information during the encoding or reading out of the code. It is important therefore to find efficient entangling protocols to avoid the loss of information. Here we propose an experiment that uses only global entangling operations to encode an arbitrary logical qubit to either the five-qubit repetition code or the five-qubit code, with a six-ion Coulomb crystal architecture in a Penning trap. We show that the use of global operations enables us to prepare and read out these codes using only six and ten global entangling pulses, respectively. The proposed experiment also allows the acquisition of syndrome information during readout. We provide a noise analysis for the presented protocols, estimating that we can achieve a six-fold improvement in coherence time with noise as high as $\\sim 1\\%$ on each entangling operation.

  1. Implications of Monte Carlo Statistical Errors in Criticality Safety Assessments

    SciTech Connect (OSTI)

    Pevey, Ronald E.

    2005-09-15T23:59:59.000Z

    Most criticality safety calculations are performed using Monte Carlo techniques because of Monte Carlo's ability to handle complex three-dimensional geometries. For Monte Carlo calculations, the more histories sampled, the lower the standard deviation of the resulting estimates. The common intuition is, therefore, that the more histories, the better; as a result, analysts tend to run Monte Carlo analyses as long as possible (or at least to a minimum acceptable uncertainty). For Monte Carlo criticality safety analyses, however, the optimization situation is complicated by the fact that procedures usually require that an extra margin of safety be added because of the statistical uncertainty of the Monte Carlo calculations. This additional safety margin affects the impact of the choice of the calculational standard deviation, both on production and on safety. This paper shows that, under the assumptions of normally distributed benchmarking calculational errors and exact compliance with the upper subcritical limit (USL), the standard deviation that optimizes production is zero, but there is a non-zero value of the calculational standard deviation that minimizes the risk of inadvertently labeling a supercritical configuration as subcritical. Furthermore, this value is shown to be a simple function of the typical benchmarking step outcomes--the bias, the standard deviation of the bias, the upper subcritical limit, and the number of standard deviations added to calculated k-effectives before comparison to the USL.

  2. Aperiodic dynamical decoupling sequences in presence of pulse errors

    E-Print Network [OSTI]

    Wang, Zhi-Hui

    2011-01-01T23:59:59.000Z

    Dynamical decoupling (DD) is a promising tool for preserving the quantum states of qubits. However, small imperfections in the control pulses can seriously affect the fidelity of decoupling, and qualitatively change the evolution of the controlled system at long times. Using both analytical and numerical tools, we theoretically investigate the effect of the pulse errors accumulation for two aperiodic DD sequences, the Uhrig's DD UDD) protocol [G. S. Uhrig, Phys. Rev. Lett. {\\bf 98}, 100504 (2007)], and the Quadratic DD (QDD) protocol [J. R. West, B. H. Fong and D. A. Lidar, Phys. Rev. Lett {\\bf 104}, 130501 (2010)]. We consider the implementation of these sequences using the electron spins of phosphorus donors in silicon, where DD sequences are applied to suppress dephasing of the donor spins. The dependence of the decoupling fidelity on different initial states of the spins is the focus of our study. We investigate in detail the initial drop in the DD fidelity, and its long-term saturation. We also demonstra...

  3. Error analysis of nuclear forces and effective interactions

    E-Print Network [OSTI]

    R. Navarro Perez; J. E. Amaro; E. Ruiz Arriola

    2014-09-04T23:59:59.000Z

    The Nucleon-Nucleon interaction is the starting point for ab initio Nuclear Structure and Nuclear reactions calculations. Those are effectively carried out via effective interactions fitting scattering data up to a maximal center of mass momentum. However, NN interactions are subjected to statistical and systematic uncertainties which are expected to propagate and have some impact on the predictive power and accuracy of theoretical calculations, regardless on the numerical accuracy of the method used to solve the many body problem. We stress the necessary conditions required for a correct and self-consistent statistical interpretation of the discrepancies between theory and experiment which enable a subsequent statistical error propagation and correlation analysis. We comprehensively discuss an stringent and recently proposed tail-sensitive normality test and provide a simple recipe to implement it. As an application, we analyze the deduced uncertainties and correlations of effective interactions in terms of Moshinsky-Skyrme parameters and effective field theory counterterms as derived from the bare NN potential containing One-Pion-Exchange and Chiral Two-Pion-Exchange interactions inferred from scattering data.

  4. Integrated Control-Path Design and Error Recovery in the Synthesis of Digital

    E-Print Network [OSTI]

    Chakrabarty, Krishnendu

    11 Integrated Control-Path Design and Error Recovery in the Synthesis of Digital Microfluidic Lab-on-Chip YANG ZHAO, TAO XU, and KRISHNENDU CHAKRABARTY Duke University Recent advances in digital microfluidics that incorporates control paths and an error- recovery mechanism in the design of a digital microfluidic lab

  5. Observability-aware Directed Test Generation for Soft Errors and Crosstalk Faults

    E-Print Network [OSTI]

    Mishra, Prabhat

    . In modern System- on-Chip (SoC) design methodology, it is found that regions where errors are detectedObservability-aware Directed Test Generation for Soft Errors and Crosstalk Faults Kanad Basu Syst emerged as an important component of any chip design methodology to detect both functional and electrical

  6. Adaptive Density Estimation in the Pile-up Model Involving Measurement Errors

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Adaptive Density Estimation in the Pile-up Model Involving Measurement Errors Fabienne Comte, Tabea of nonparametric density estimation in the pile-up model. Adaptive nonparametric estimators are proposed for the pile-up model in its simple form as well as in the case of additional measurement errors. Furthermore

  7. Maintaining Standards: Differences between the Standard Deviation and Standard Error, and

    E-Print Network [OSTI]

    California at Santa Cruz, University of

    Maintaining Standards: Differences between the Standard Deviation and Standard Error, and When to Use Each David L Streiner, PhD1 Many people confuse the standard deviation (SD) and the standard error of the mean (SE) and are unsure which, if either, to use in presenting data in graphical or tabular form

  8. Minimum Bit Error Probability of Large Randomly Spread MCCDMA Systems in

    E-Print Network [OSTI]

    Müller, Ralf R.

    Minimum Bit Error Probability of Large Randomly Spread MC­CDMA Systems in Multipath Rayleigh Fading, to calculate the bit error proba­ bility in the large system limit for randomly assigned spreading sequences detec­ tion with is accurate if the number of users and the spreading factor are large. His calculations

  9. Minimum Bit Error Probability of Large Randomly Spread MC-CDMA Systems in

    E-Print Network [OSTI]

    Müller, Ralf R.

    Minimum Bit Error Probability of Large Randomly Spread MC-CDMA Systems in Multipath Rayleigh Fading, to calculate the bit error proba- bility in the large system limit for randomly assigned spreading sequences detec- tion with is accurate if the number of users and the spreading factor are large. His calculations

  10. Threshold analysis with fault-tolerant operations for nonbinary quantum error correcting codes

    E-Print Network [OSTI]

    Kanungo, Aparna

    2005-11-01T23:59:59.000Z

    Quantum error correcting codes have been introduced to encode the data bits in extra redundant bits in order to accommodate errors and correct them. However, due to the delicate nature of the quantum states or faulty gate operations, there is a...

  11. Drift-magnetohydrodynamical model of error-field penetration in tokamak plasmas

    E-Print Network [OSTI]

    Fitzpatrick, Richard

    Drift-magnetohydrodynamical model of error-field penetration in tokamak plasmas A. Cole and R published magnetohydrodynamical MHD model of error-field penetration in tokamak plasmas is extended to take in ohmic tokamak plasmas. © 2006 American Institute of Physics. DOI: 10.1063/1.2178167 I. INTRODUCTION

  12. A Posteriori Error Estimates with Post-Processing for Nonconforming Finite Elements

    E-Print Network [OSTI]

    Schieweck, Friedhelm

    that it has the same asymptotic behavior as the energy norm of the real discretization error itself. We show, we propose an a posteriori error estimate in the energy norm which uses as an additive term the \\post in the global energy norm, we demonstrate that the concept of using a conforming approximation

  13. A System for 3D Error Visualization and Assessment of Digital Elevation Models

    E-Print Network [OSTI]

    Gousie, Michael B.

    A System for 3D Error Visualization and Assessment of Digital Elevation Models Michael B. Gousie that displays a DEM and possible errors in 3D, along with its associated contour or sparse data and detail. The cutting tool is semi-transparent so that the profile is seen in the context of the 3D surface

  14. Network Code Design from Unequal Error Protection Coding: Channel-Aware Receiver Design and Diversity Analysis

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Network Code Design from Unequal Error Protection Coding: Channel-Aware Receiver Design.iezzi, fabio.graziosi}@univaq.it Abstract-- In this paper, we propose Unequal Error Protection (UEP) coding theory as a viable and flexible method for the design of network codes for multi­source multi­relay

  15. DysList: An Annotated Resource of Dyslexic Errors Luz Rello,1

    E-Print Network [OSTI]

    of texts written by people with dyslexia. Each of the errors was annotated with a set of characteristics of this kind, especially given the difficulty of finding texts written by people with dyslexia. Keywords: Errors, Dyslexia, Visual, Phonetics, Resource 1. Introduction Dyslexia is a reading and spelling disorder

  16. Evaluating specific error characteristics of microwave-derived cloud liquid water products

    E-Print Network [OSTI]

    Christopher, Sundar A.

    of cloud LWP products globally using concurrent data from visible/ infrared satellite sensors. The approachEvaluating specific error characteristics of microwave-derived cloud liquid water products Thomas J microwave satellite measurements. Using coincident visible/infrared satellite data, errors are isolated

  17. Embedded packet video transmission over wireless channels using power control and forward error

    E-Print Network [OSTI]

    Granelli, Fabrizio

    for implementing packet prioritization based on a non-uniform allocation of the available transmission energy high percentage of transmission errors in the wireless medium and the limited energy of portable energy distribution is jointly employed with error correction schemes in order to achieve optimal non

  18. Database Error Trapping and Prediction Mike West & Robert L. Winkler \\Lambda

    E-Print Network [OSTI]

    West, Mike

    , such as electronic components or systems, or components of computer software systems, that are subject to regimes and reliability control being of particular note. Keywords: ERROR DETECTION, ERROR RATES, DATA QUALITY, DATA MAN. Exam­ ples in industrial quality and reliability control may concern manufactured items

  19. A posteriori error estimates, stopping criteria, and adaptivity for multiphase compositional Darcy flows in porous media

    E-Print Network [OSTI]

    A posteriori error estimates, stopping criteria, and adaptivity for multiphase compositional Darcy derive a posteriori error estimates for the compositional model of multiphase Darcy flow in porous media, consisting of a system of strongly coupled nonlinear unsteady partial differential and algebraic equations

  20. ASC Report No. 45/2012 A Numerical Study of Averaging Error

    E-Print Network [OSTI]

    Melenk, Jens Markus

    polynomials of the same polynomial degree as the finite element solution leads to reliability and efficiency], is a widely used method for gauging errors in finite element methods and steering adaptive mesh refinements and M. Tutz A review of stability and error theory for collocation methods applied to linear boundary

  1. Improving the Accuracy of Industrial Robots by offline Compensation of Joints Errors

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Improving the Accuracy of Industrial Robots by offline Compensation of Joints Errors Adel Olabi.damak@geomnia.eu Abstract--The use of industrial robots in many fields of industry like prototyping, pre-machining and end errors. Identification methods are presented with experimental validation on a 6 axes industrial robot

  2. Systematic Errors in Future Weak Lensing Surveys: Requirements and Prospects for Self-Calibration

    E-Print Network [OSTI]

    Dragan Huterer; Masahiro Takada; Gary Bernstein; Bhuvnesh Jain

    2005-06-02T23:59:59.000Z

    We study the impact of systematic errors on planned weak lensing surveys and compute the requirements on their contributions so that they are not a dominant source of the cosmological parameter error budget. The generic types of error we consider are multiplicative and additive errors in measurements of shear, as well as photometric redshift errors. In general, more powerful surveys have stronger systematic requirements. For example, for a SNAP-type survey the multiplicative error in shear needs to be smaller than 1%(fsky/0.025)^{-1/2} of the mean shear in any given redshift bin, while the centroids of photometric redshift bins need to be known to better than 0.003(fsky/0.025)^{-1/2}. With about a factor of two degradation in cosmological parameter errors, future surveys can enter a self-calibration regime, where the mean systematic biases are self-consistently determined from the survey and only higher-order moments of the systematics contribute. Interestingly, once the power spectrum measurements are combined with the bispectrum, the self-calibration regime in the variation of the equation of state of dark energy w_a is attained with only a 20-30% error degradation.

  3. A Case for Soft Error Detection and Correction in Computational Chemistry

    SciTech Connect (OSTI)

    van Dam, Hubertus JJ; Vishnu, Abhinav; De Jong, Wibe A.

    2013-09-10T23:59:59.000Z

    High performance computing platforms are expected to deliver 10(18) floating operations per second by the year 2022 through the deployment of millions of cores. Even if every core is highly reliable the sheer number of the them will mean that the mean time between failures will become so short that most applications runs will suffer at least one fault. In particular soft errors caused by intermittent incorrect behavior of the hardware are a concern as they lead to silent data corruption. In this paper we investigate the impact of soft errors on optimization algorithms using Hartree-Fock as a particular example. Optimization algorithms iteratively reduce the error in the initial guess to reach the intended solution. Therefore they may intuitively appear to be resilient to soft errors. Our results show that this is true for soft errors of small magnitudes but not for large errors. We suggest error detection and correction mechanisms for different classes of data structures. The results obtained with these mechanisms indicate that we can correct more than 95% of the soft errors at moderate increases in the computational cost.

  4. The Invariance of Score Tests to Measurement Error By CHI-LUN CHENG

    E-Print Network [OSTI]

    Huang, Su-Yun

    for a Box-Cox power transformation. Under speci c constraints, we show that the score tests for measurement these estab- lished results when the true model is subject to measurement errors. It is known that ignoring variable xi is the true value i plus some random measurement error i: xi = i + i (i = 1 n) (1

  5. PERTURBATION-BASED ERROR ANALYSIS OF ITERATIVE IMAGE RECONSTRUCTION ALGORITHM FOR X-RAY COMPUTED TOMOGRAPHY

    E-Print Network [OSTI]

    Fessler, Jeffrey A.

    -ray computed tomography. The effects of the quantization error in forward-projection, back computed tomography (CT) have been proposed to improve image quality and reduce dose [1]. These methodsPERTURBATION-BASED ERROR ANALYSIS OF ITERATIVE IMAGE RECONSTRUCTION ALGORITHM FOR X-RAY COMPUTED

  6. Static Detection of API Error-Handling Bugs via Mining Source Code

    E-Print Network [OSTI]

    Young, R. Michael

    Static Detection of API Error-Handling Bugs via Mining Source Code Mithun Acharya and Tao Xie error specifi- cations automatically from software package repositories, without requiring any user inter-procedurally scattered and not always correctly coded by the programmers, manually inferring

  7. Approximate logic circuits for low overhead, non-intrusive concurrent error detection

    E-Print Network [OSTI]

    Mohanram, Kartik

    Approximate logic circuits for low overhead, non-intrusive concurrent error detection Mihir R for the synthesis of approximate logic circuits. A low overhead, non-intrusive solution for concurrent error as proposed in this paper. A low overhead, non-intrusive solution for CED based on ap- proximate

  8. TYPOGRAPHICAL AND ORTHOGRAPHICAL SPELLING ERROR Kyongho Min*, William H. Wilson*, Yoo-Jin Moon

    E-Print Network [OSTI]

    Wilson, Bill

    -Jin Moon *School of Computer Science and Engineering The University of New South Wales Sydney NSW 2052 of spelling errors such as typographical (Damerau, 1964; Pollock and Zamora, 1983), orthographical (Sterling), and orthographical errors in spontaneous writings of children (Sterling, 1983; Mitton, 1987). 1.2. Approaches

  9. "RSE Table C1.1. Relative Standard Errors for Table C1.1;"

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

    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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. AppliancesTotal" "(Data from03.4B Winter13434.1.

  10. "RSE Table C10.1. Relative Standard Errors for Table C10.1;"

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

    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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. AppliancesTotal" "(Data from03.4B Winter13434.1.1.

  11. "RSE Table C10.2. Relative Standard Errors for Table C10.2;"

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

    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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. AppliancesTotal" "(Data from03.4B

  12. "RSE Table C12.1. Relative Standard Errors for Table C12.1;"

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

    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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. AppliancesTotal" "(Data from03.4B3.

  13. "RSE Table C3.1. Relative Standard Errors for Table C3.1;"

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

    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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. AppliancesTotal" "(Data from03.4B3.C2.1.

  14. "RSE Table C4.1. Relative Standard Errors for Table C4.1;"

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

    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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. AppliancesTotal" "(Data from03.4B3.C2.1.C4.1.

  15. "RSE Table C9.1. Relative Standard Errors for Table C9.1;"

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

    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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. AppliancesTotal" "(Data from03.4B3.C2.1.C4.1.C9.1.

  16. "RSE Table E1.1. Relative Standard Errors for Table E1.1;"

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

    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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. AppliancesTotal" "(Data

  17. Measuring uncertainty in dose delivered to the cochlea due to setup error during external beam treatment of patients with cancer of the head and neck

    SciTech Connect (OSTI)

    Yan, M.; Lovelock, D.; Hunt, M.; Mechalakos, J.; Hu, Y.; Pham, H.; Jackson, A., E-mail: jacksona@mskcc.org [Department of Medical Physics, Memorial Sloan-Kettering Cancer Center, New York, New York 10065 (United States)

    2013-12-15T23:59:59.000Z

    Purpose: To use Cone Beam CT scans obtained just prior to treatments of head and neck cancer patients to measure the setup error and cumulative dose uncertainty of the cochlea. Methods: Data from 10 head and neck patients with 10 planning CTs and 52 Cone Beam CTs taken at time of treatment were used in this study. Patients were treated with conventional fractionation using an IMRT dose painting technique, most with 33 fractions. Weekly radiographic imaging was used to correct the patient setup. The authors used rigid registration of the planning CT and Cone Beam CT scans to find the translational and rotational setup errors, and the spatial setup errors of the cochlea. The planning CT was rotated and translated such that the cochlea positions match those seen in the cone beam scans, cochlea doses were recalculated and fractional doses accumulated. Uncertainties in the positions and cumulative doses of the cochlea were calculated with and without setup adjustments from radiographic imaging. Results: The mean setup error of the cochlea was 0.04 ± 0.33 or 0.06 ± 0.43 cm for RL, 0.09 ± 0.27 or 0.07 ± 0.48 cm for AP, and 0.00 ± 0.21 or ?0.24 ± 0.45 cm for SI with and without radiographic imaging, respectively. Setup with radiographic imaging reduced the standard deviation of the setup error by roughly 1–2 mm. The uncertainty of the cochlea dose depends on the treatment plan and the relative positions of the cochlea and target volumes. Combining results for the left and right cochlea, the authors found the accumulated uncertainty of the cochlea dose per fraction was 4.82 (0.39–16.8) cGy, or 10.1 (0.8–32.4) cGy, with and without radiographic imaging, respectively; the percentage uncertainties relative to the planned doses were 4.32% (0.28%–9.06%) and 10.2% (0.7%–63.6%), respectively. Conclusions: Patient setup error introduces uncertainty in the position of the cochlea during radiation treatment. With the assistance of radiographic imaging during setup, the standard deviation of setup error reduced by 31%, 42%, and 54% in RL, AP, and SI direction, respectively, and consequently, the uncertainty of the mean dose to cochlea reduced more than 50%. The authors estimate that the effects of these uncertainties on the probability of hearing loss for an individual patient could be as large as 10%.

  18. Special Relativity is an Excellent Theory

    E-Print Network [OSTI]

    E. Comay

    2006-03-05T23:59:59.000Z

    Criteria for defining errors of a physical theory are formulated. It is shown that the Special Theory of Relativity (STR) has a solid mathematical basis. An enormous amount of experiments carried out in particle physics use beams of particles having a very high energy. The data of these experiments are consistent with STR and support our confidence that STR is an excellent theory. Several specific cases of this issue are discussed explicitly. Contrary to a common belief, it is proved that the contemporary mainstream of physicists adhere to some theoretical ideas that violate STR.

  19. A self-checking fiber optic dosimeter for monitoring common errors in brachytherapy applications

    SciTech Connect (OSTI)

    Yin, Y.; Lambert, J.; Yang, S.; McKenzie, D. R.; Jackson, M.; Suchowerska, N. [Physics School, University of Sydney, New South Wales 2006 (Australia); Physics School, University of Sydney, New South Wales 2006 (Australia) and Department of Radiation Oncology, Royal Prince Alfred Hospital, New South Wales 2050 (Australia); Physics School, University of Sydney, New South Wales 2006 (Australia); Department of Radiation Oncology, Royal Prince Alfred Hospital, New South Wales 2050 (Australia); Physics School, University of Sydney, New South Wales 2006 (Australia) and Department of Radiation Oncology, Royal Prince Alfred Hospital, New South Wales 2050 (Australia)

    2009-07-15T23:59:59.000Z

    Scintillation dosimetry with optical fiber readout [fiber optic dosimetry (FOD)] requires accurate measurement of light intensity. It is therefore vulnerable to loss of calibration if any changes occur in the efficiency of the optical pathway between the scintillator and the light detector. The authors show in this article that common types of errors that arise during clinical use for brachytherapy applications can be quantified using a light emitting diode to stimulate the scintillator, the so-called LED-FOD method, in an integrated and easy-to-use control unit that incorporates a compact peripheral component interconnect extension for instrumentation. Common sources of error include bending and mechanical compression of the fiber optic components and changes in the temperature of the scintillator. The authors show that the method can detect all the common errors studied in this work and that different types of errors can result in different correlations between the LED stimulated signal and the brachytherapy source signal. For a single-type error the LED-FOD can be used easily for system diagnosis and validation with the possibility to correct the dosimeter reading if the correlation between the LED stimulated signal and the brachytherapy source signal can be defined. For more complex errors, resulting from two or more errors occurring simultaneously, the LED-FOD method can also allow the clinician to make a judgment on the reliability of the dosimeter reading. This self-checking method can enhance the clinical robustness of the FOD for achieving accurate dose control.

  20. Performance and Error Analysis of Knill's Postselection Scheme in a Two-Dimensional Architecture

    E-Print Network [OSTI]

    Ching-Yi Lai; Gerardo Paz; Martin Suchara; Todd A. Brun

    2013-05-31T23:59:59.000Z

    Knill demonstrated a fault-tolerant quantum computation scheme based on concatenated error-detecting codes and postselection with a simulated error threshold of 3% over the depolarizing channel. %We design a two-dimensional architecture for fault-tolerant quantum computation based on Knill's postselection scheme. We show how to use Knill's postselection scheme in a practical two-dimensional quantum architecture that we designed with the goal to optimize the error correction properties, while satisfying important architectural constraints. In our 2D architecture, one logical qubit is embedded in a tile consisting of $5\\times 5$ physical qubits. The movement of these qubits is modeled as noisy SWAP gates and the only physical operations that are allowed are local one- and two-qubit gates. We evaluate the practical properties of our design, such as its error threshold, and compare it to the concatenated Bacon-Shor code and the concatenated Steane code. Assuming that all gates have the same error rates, we obtain a threshold of $3.06\\times 10^{-4}$ in a local adversarial stochastic noise model, which is the highest known error threshold for concatenated codes in 2D. We also present a Monte Carlo simulation of the 2D architecture with depolarizing noise and we calculate a pseudo-threshold of about 0.1%. With memory error rates one-tenth of the worst gate error rates, the threshold for the adversarial noise model, and the pseudo-threshold over depolarizing noise, are $4.06\\times 10^{-4}$ and 0.2%, respectively. In a hypothetical technology where memory error rates are negligible, these thresholds can be further increased by shrinking the tiles into a $4\\times 4$ layout.

  1. Formalism for Simulation-based Optimization of Measurement Errors in High Energy Physics

    E-Print Network [OSTI]

    Yuehong Xie

    2009-04-29T23:59:59.000Z

    Miminizing errors of the physical parameters of interest should be the ultimate goal of any event selection optimization in high energy physics data analysis involving parameter determination. Quick and reliable error estimation is a crucial ingredient for realizing this goal. In this paper we derive a formalism for direct evaluation of measurement errors using the signal probability density function and large fully simulated signal and background samples without need for data fitting and background modelling. We illustrate the elegance of the formalism in the case of event selection optimization for CP violation measurement in B decays. The implication of this formalism on choosing event variables for data analysis is discussed.

  2. An Analysis of the Effect of Gaussian Error in Object Recognition

    E-Print Network [OSTI]

    Sarachik, Karen Beth

    1994-02-01T23:59:59.000Z

    Object recognition is complicated by clutter, occlusion, and sensor error. Since pose hypotheses are based on image feature locations, these effects can lead to false negatives and positives. In a typical recognition ...

  3. Error Field Correction in DIII-D Ohmic Plasmas With Either Handedness

    SciTech Connect (OSTI)

    Jong-Kyu Park, Michael J. Schaffer, Robert J. La Haye,Timothy J. Scoville and Jonathan E. Menard

    2011-05-16T23:59:59.000Z

    Error field correction results in DIII-D plasmas are presented in various configurations. In both left-handed and right-handed plasma configurations, where the intrinsic error fields become different due to the opposite helical twist (handedness) of the magnetic field, the optimal error correction currents and the toroidal phases of internal(I)-coils are empirically established. Applications of the Ideal Perturbed Equilibrium Code to these results demonstrate that the field component to be minimized is not the resonant component of the external field, but the total field including ideal plasma responses. Consistency between experiment and theory has been greatly improved along with the understanding of ideal plasma responses, but non-ideal plasma responses still need to be understood to achieve the reliable predictability in tokamak error field correction.

  4. Absolute Percent Error Based Fitness Functions for Evolving Forecast Models AndyNovobilski,Ph.D.

    E-Print Network [OSTI]

    Fernandez, Thomas

    Absolute Percent Error Based Fitness Functions for Evolving Forecast Models Andy computfi~gas a methodof data mining,is its intrinsic ability to drive modelselection accordingto a mixedset of criteria. Basedon natural selection, evolutionary computing utilizes evaluationof candidatesolutions

  5. Efficient error correction for speech systems using constrained re-recognition

    E-Print Network [OSTI]

    Yu, Gregory T

    2008-01-01T23:59:59.000Z

    Efficient error correction of recognition output is a major barrier in the adoption of speech interfaces. This thesis addresses this problem through a novel correction framework and user interface. The system uses constraints ...

  6. V-194: Citrix XenServer Memory Management Error Lets Local Administrat...

    Broader source: Energy.gov (indexed) [DOE]

    a memory management page reference counting error to gain access on the target host server. IMPACT: A local user on the guest operating system can obtain access on the target...

  7. Error analysis of motion transmission mechanisms : design of a parabolic solar trough

    E-Print Network [OSTI]

    Koniski, Cyril (Cyril A.)

    2009-01-01T23:59:59.000Z

    This thesis presents the error analysis pertaining to the design of an innovative solar trough for use in solar thermal energy generation fields. The research was a collaborative effort between Stacy Figueredo from Prof. ...

  8. Comment on 'Discussions on common errors in analyzing sea level accelerations, solar trends and global warming'

    E-Print Network [OSTI]

    Benestad, R E

    2013-01-01T23:59:59.000Z

    Comment on Scafetta, Nicola. 'Discussion on Common Errors in Analyzing Sea Level Accelerations, Solar Trends and Global Warming.' arXiv:1305.2812 (May 13, 2013a). doi:10.5194/prp-1-37-2013.

  9. Methodology to Analyze the Sensitivity of Building Energy Consumption to HVAC System Sensor Error 

    E-Print Network [OSTI]

    Ma, Liang

    2012-02-14T23:59:59.000Z

    This thesis proposes a methodology for determining sensitivity of building energy consumption of HVAC systems to sensor error. It is based on a series of simulations of a generic building, the model for which is based on several typical input...

  10. Minimizing Actuator-Induced Residual Error in Active Space Telescope Primary Mirrors

    E-Print Network [OSTI]

    . Smith, David W. Miller September 2010 SSL #12-10 #12;#12;Minimizing Actuator-Induced Residual Error in Active Space Telescope Primary Mirrors Matthew W. Smith, David W. Miller September 2010 SSL #12

  11. Error analysis of the chirp-z transform when implemented using waveform synthesizers and FFTs

    SciTech Connect (OSTI)

    Bielek, T.P.

    1990-11-01T23:59:59.000Z

    This report analyzes the effects of finite-precision arithmetic on discrete Fourier transforms (DFTs) calculated using the chirp-z transform algorithm. An introduction to the chirp-z transform is given together with a description of how the chirp-z transform is implemented in hardware. Equations for the effects of chirp rate errors, starting frequency errors, and starting phase errors on the frequency spectrum of the chirp-z transform are derived. Finally, the maximum possible errors in the chirp rate, the starting frequencies, and starting phases are calculated and used to compute the worst case effects on the amplitude and phase spectrums of the chirp-z transform. 1 ref., 6 figs.

  12. Title and author(s) Notes on Human Error Analysis and

    E-Print Network [OSTI]

    calibration and testing as found in the US Licensee Event Reports. Available on request from Risø Library JUDGEMENT 4 "HUMAN ERROR" - DEFINITION AND CLASSIFICATION 6 RELIABILITY AND SAFETY ANALYSIS 10 HUMAN FACTORS

  13. Grid-search event location with non-Gaussian error models

    E-Print Network [OSTI]

    Rodi, William L.

    This study employs an event location algorithm based on grid search to investigate the possibility of improving seismic event location accuracy by using non-Gaussian error models. The primary departure from the Gaussian ...

  14. Gross Error Detection in Chemical Plants and Refineries for On-Line Optimization

    E-Print Network [OSTI]

    Pike, Ralph W.

    Gross Error Detection in Chemical Plants and Refineries for On-Line Optimization Xueyu Chen, Derya) British Petroleum Applications mainly crude units in refineries and ethylene plants #12;Companies

  15. Stability of error bounds for semi-infinite convex constraint systems

    E-Print Network [OSTI]

    2010-01-07T23:59:59.000Z

    stable if all its “small” perturbations admit a (local or global) error bound. ... where T is a compact, possibly infinite, Hausdorff space, ft : Rn ? R, t ? T, are given ...

  16. Gilles Lachaud For detecting and correcting the inevitable errors which creep in during

    E-Print Network [OSTI]

    Provence Aix-Marseille I, Université de

    Gilles Lachaud For detecting and correcting the inevitable errors which creep in during digital by the grea- test possible number of discs of the same size without any overlaps. #12;The words of a message

  17. On the evaluation of human error probabilities for post-initiating events

    E-Print Network [OSTI]

    Presley, Mary R

    2006-01-01T23:59:59.000Z

    Quantification of human error probabilities (HEPs) for the purpose of human reliability assessment (HRA) is very complex. Because of this complexity, the state of the art includes a variety of HRA models, each with its own ...

  18. Error and uncertainty in estimates of Reynolds stress using ADCP in an energetic ocean state

    E-Print Network [OSTI]

    Rapo, Mark Andrew.

    2006-01-01T23:59:59.000Z

    (cont.) To that end, the space-time correlations of the error, turbulence, and wave processes are developed and then utilized to find the extent to which the environmental and internal processing parameters contribute to ...

  19. Combined wavelet video coding and error control for internet streaming and multicast

    E-Print Network [OSTI]

    Chu, Tianli

    2002-01-01T23:59:59.000Z

    In the past several years, advances in Internet video streaming have been tremendous. Originally designed without error protection, Receiver-driven layered multicast (RLM) has proved to be a very effective scheme for scalable video multicast. Though...

  20. The Effect of OCR Errors on Stylistic Text Classification Sterling Stuart Stein

    E-Print Network [OSTI]

    The Effect of OCR Errors on Stylistic Text Classification Sterling Stuart Stein Linguistic retrieval; Taghva and Coombs [1] found that a search engine could be made to work well over OCR documents

  1. Impact of transport model errors on the global and regional methane emissions estimated by inverse modelling

    E-Print Network [OSTI]

    Locatelli, R.

    A modelling experiment has been conceived to assess the impact of transport model errors on methane emissions estimated in an atmospheric inversion system. Synthetic methane observations, obtained from 10 different model ...

  2. Analysis of Third- and Fifth-Grade Spelling Errors on the Test of Written Spelling-4: Do Error Types Indicate Levels of Linguistic Knowledge?

    E-Print Network [OSTI]

    Conway, Barbara Tenney

    2012-10-19T23:59:59.000Z

    .............................................................................. x NOMENCLATURE ............................................................................. xi CHAPTER I INTRODUCTION ............................................................ 1 Theories of Spelling Development... levels in school. Stage theory of spelling development has provided a solid structure upon which spelling curricula can be designed, and spelling error analysis serves as the foundational screening component for planning of instruction (Bear...

  3. Solution-verified reliability analysis and design of bistable MEMS using error estimation and adaptivity.

    SciTech Connect (OSTI)

    Eldred, Michael Scott; Subia, Samuel Ramirez; Neckels, David; Hopkins, Matthew Morgan; Notz, Patrick K.; Adams, Brian M.; Carnes, Brian; Wittwer, Jonathan W.; Bichon, Barron J.; Copps, Kevin D.

    2006-10-01T23:59:59.000Z

    This report documents the results for an FY06 ASC Algorithms Level 2 milestone combining error estimation and adaptivity, uncertainty quantification, and probabilistic design capabilities applied to the analysis and design of bistable MEMS. Through the use of error estimation and adaptive mesh refinement, solution verification can be performed in an automated and parameter-adaptive manner. The resulting uncertainty analysis and probabilistic design studies are shown to be more accurate, efficient, reliable, and convenient.

  4. Code assignment of rate compatible punctured convolutional codes for unequal error protection requirements

    E-Print Network [OSTI]

    Gavini, Shanti

    2001-01-01T23:59:59.000Z

    CODE ASSIGNMENT OF RATE COMPATIBLE PUNCTURED CONVOLUTIONAL CODES F' OR UNEQUAL ERROR PROTECTION REQUIRElvIENTS A Thesis by SHANTI GAVIUI Submitted to the Office of Graduate Studies of Texas A&M University in partial fulfillment of thc... requirements for the degree of MASTER OF SCIENCE May 2001 Major Subject: Electrical Engineering CODE ASSIGNMENT OF RATE COMPATIBLE PUNCTURED CONVOLUTIONAL CODES FOR UNEQUAL ERROR PROTECTION REQUIREMENTS A Thesis by SHANTI GAVINI Submitted to Texas A...

  5. Progress in Understanding Error-field Physics in NSTX Spherical Torus Plasmas

    SciTech Connect (OSTI)

    E. Menard, R.E. Bell, D.A. Gates, S.P. Gerhardt, J.-K. Park, S.A. Sabbagh, J.W. Berkery, A. Egan, J. Kallman, S.M. Kaye, B. LeBlanc, Y.Q. Liu, A. Sontag, D. Swanson, H. Yuh, W. Zhu and the NSTX Research Team

    2010-05-19T23:59:59.000Z

    The low aspect ratio, low magnetic field, and wide range of plasma beta of NSTX plasmas provide new insight into the origins and effects of magnetic field errors. An extensive array of magnetic sensors has been used to analyze error fields, to measure error field amplification, and to detect resistive wall modes in real time. The measured normalized error-field threshold for the onset of locked modes shows a linear scaling with plasma density, a weak to inverse dependence on toroidal field, and a positive scaling with magnetic shear. These results extrapolate to a favorable error field threshold for ITER. For these low-beta locked-mode plasmas, perturbed equilibrium calculations find that the plasma response must be included to explain the empirically determined optimal correction of NSTX error fields. In high-beta NSTX plasmas exceeding the n=1 no-wall stability limit where the RWM is stabilized by plasma rotation, active suppression of n=1 amplified error fields and the correction of recently discovered intrinsic n=3 error fields have led to sustained high rotation and record durations free of low-frequency core MHD activity. For sustained rotational stabilization of the n=1 RWM, both the rotation threshold and magnitude of the amplification are important. At fixed normalized dissipation, kinetic damping models predict rotation thresholds for RWM stabilization to scale nearly linearly with particle orbit frequency. Studies for NSTX find that orbit frequencies computed in general geometry can deviate significantly from those computed in the high aspect ratio and circular plasma cross-section limit, and these differences can strongly influence the predicted RWM stability. The measured and predicted RWM stability is found to be very sensitive to the E × B rotation profile near the plasma edge, and the measured critical rotation for the RWM is approximately a factor of two higher than predicted by the MARS-F code using the semi-kinetic damping model.

  6. Estimating rock properties in two phase petroleum reservoirs: an error analysis

    E-Print Network [OSTI]

    Paul, Anthony Ian

    1983-01-01T23:59:59.000Z

    ESTIMATING ROCK PROPERTIES IN TWO PHASE PETROLEUM RESERVOIRS: AN ERROR ANALYSIS A Thesis by ANTHONY IAN PAUL Submitted to the Graduate College of Texas AE:M University in partial fulfillment of the requirements for the degree of MASTER... OF SCIENCE December 1983 Maior Subjecu Chemical Engineering ESTIMATING ROCK PROPERTIES IN TWO PHASE PETROLEUM RESERVOIRS: AN ERROR ANALYSIS A Thesis by ANTHONY IAN PAUL Approved as to style and content by: A. T. Watson (Chairman of Commiuee) C. J...

  7. Effects and Correction of Closed Orbit Magnet Errors in the SNS Ring

    SciTech Connect (OSTI)

    Bunch, S.C.; Holmes, J.

    2004-01-01T23:59:59.000Z

    We consider the effect and correction of three types of orbit errors in SNS: quadrupole displacement errors, dipole displacement errors, and dipole field errors. Using the ORBIT beam dynamics code, we focus on orbit deflection of a standard pencil beam and on beam losses in a high intensity injection simulation. We study the correction of these orbit errors using the proposed system of 88 (44 horizontal and 44 vertical) ring beam position monitors (BPMs) and 52 (24 horizontal and 28 vertical) dipole corrector magnets. Correction is carried out numerically by adjusting the kick strengths of the dipole corrector magnets to minimize the sum of the squares of the BPM signals for the pencil beam. In addition to using the exact BPM signals as input to the correction algorithm, we also consider the effect of random BPM signal errors. For all three types of error and for perturbations of individual magnets, the correction algorithm always chooses the three-bump method to localize the orbit displacement to the region between the magnet and its adjacent correctors. The values of the BPM signals resulting from specified settings of the dipole corrector kick strengths can be used to set up the orbit response matrix, which can then be applied to the correction in the limit that the signals from the separate errors add linearly. When high intensity calculations are carried out to study beam losses, it is seen that the SNS orbit correction system, even with BPM uncertainties, is sufficient to correct losses to less than 10-4 in nearly all cases, even those for which uncorrected losses constitute a large portion of the beam.

  8. Case Study: Soft Error Rate Analysis in Storage Systems Brian Mullins, Hossein Asadi, Mehdi B. Tahoori, David Kaeli

    E-Print Network [OSTI]

    Kaeli, David R.

    Case Study: Soft Error Rate Analysis in Storage Systems Brian Mullins, Hossein Asadi, Mehdi B Soft errors due to cosmic particles are a growing relia- bility threat for VLSI systems. In this paper we analyze the soft error vulnerability of FPGAs used in storage systems. Since the reliability

  9. Case Study: Soft Error Rate Analysis in Storage Systems Brian Mullins, Hossein Asadi, Mehdi B. Tahoori, David Kaeli

    E-Print Network [OSTI]

    Kaeli, David R.

    Case Study: Soft Error Rate Analysis in Storage Systems Brian Mullins, Hossein Asadi, Mehdi B the soft error vulnerability of FPGAs used in storage systems. Since the reliability requirements of such systems play a critical role in overall system reliability. We have val­ idated soft error projections

  10. The Suppression of Energy Discretization Errors in Multigroup Transport Calculations

    SciTech Connect (OSTI)

    Larsen, Edward

    2013-06-17T23:59:59.000Z

    The Objective of this project is to develop, implement, and test new deterministric methods to solve, as efficiently as possible, multigroup neutron transport problems having an extremely large number of groups. Our approach was to (i) use the standard CMFD method to "coarsen" the space-angle grid, yielding a multigroup diffusion equation, and (ii) use a new multigrid-in-space-and-energy technique to efficiently solve the multigroup diffusion problem. The overall strategy of (i) how to coarsen the spatial and energy grids, and (ii) how to navigate through the various grids, has the goal of minimizing the overall computational effort. This approach yields not only the fine-grid solution, but also coarse-group flux-weighted cross sections that can be used for other related problems.

  11. Managing Errors to Reduce Accidents in High Consequence Networked Information Systems

    SciTech Connect (OSTI)

    Ganter, J.H.

    1999-02-01T23:59:59.000Z

    Computers have always helped to amplify and propagate errors made by people. The emergence of Networked Information Systems (NISs), which allow people and systems to quickly interact worldwide, has made understanding and minimizing human error more critical. This paper applies concepts from system safety to analyze how hazards (from hackers to power disruptions) penetrate NIS defenses (e.g., firewalls and operating systems) to cause accidents. Such events usually result from both active, easily identified failures and more subtle latent conditions that have resided in the system for long periods. Both active failures and latent conditions result from human errors. We classify these into several types (slips, lapses, mistakes, etc.) and provide NIS examples of how they occur. Next we examine error minimization throughout the NIS lifecycle, from design through operation to reengineering. At each stage, steps can be taken to minimize the occurrence and effects of human errors. These include defensive design philosophies, architectural patterns to guide developers, and collaborative design that incorporates operational experiences and surprises into design efforts. We conclude by looking at three aspects of NISs that will cause continuing challenges in error and accident management: immaturity of the industry, limited risk perception, and resource tradeoffs.

  12. Entanglement-Assisted Quantum Error-Correcting Codes with Imperfect Ebits

    E-Print Network [OSTI]

    Ching-Yi Lai; Todd A. Brun

    2012-04-04T23:59:59.000Z

    The scheme of entanglement-assisted quantum error-correcting (EAQEC) codes assumes that the ebits of the receiver are error-free. In practical situations, errors on these ebits are unavoidable, which diminishes the error-correcting ability of these codes. We consider two different versions of this problem. We first show that any (nondegenerate) standard stabilizer code can be transformed into an EAQEC code that can correct errors on the qubits of both sender and receiver. These EAQEC codes are equivalent to standard stabilizer codes, and hence the decoding techniques of standard stabilizer codes can be applied. Several EAQEC codes of this type are found to be optimal. In a second scheme, the receiver uses a standard stabilizer code to protect the ebits, which we call a "combination code." The performances of different quantum codes are compared in terms of the channel fidelity over the depolarizing channel. We give a formula for the channel fidelity over the depolarizing channel (or any Pauli error channel), and show that it can be efficiently approximated by a Monte Carlo calculation. Finally, we discuss the tradeoff between performing extra entanglement distillation and applying an EAQEC code with imperfect ebits.

  13. Geothermal: Related Links

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

    Related Links Geothermal Technologies Legacy Collection HelpFAQ | Site Map | Contact Us HomeBasic Search About Publications Advanced Search New Hot Docs News Related Links...

  14. Detecting bit-flip errors in a logical qubit using stabilizer measurements

    E-Print Network [OSTI]

    D. Ristè; S. Poletto; M. -Z. Huang; A. Bruno; V. Vesterinen; O. -P. Saira; L. DiCarlo

    2014-11-20T23:59:59.000Z

    Quantum data is susceptible to decoherence induced by the environment and to errors in the hardware processing it. A future fault-tolerant quantum computer will use quantum error correction (QEC) to actively protect against both. In the smallest QEC codes, the information in one logical qubit is encoded in a two-dimensional subspace of a larger Hilbert space of multiple physical qubits. For each code, a set of non-demolition multi-qubit measurements, termed stabilizers, can discretize and signal physical qubit errors without collapsing the encoded information. Experimental demonstrations of QEC to date, using nuclear magnetic resonance, trapped ions, photons, superconducting qubits, and NV centers in diamond, have circumvented stabilizers at the cost of decoding at the end of a QEC cycle. This decoding leaves the quantum information vulnerable to physical qubit errors until re-encoding, violating a basic requirement for fault tolerance. Using a five-qubit superconducting processor, we realize the two parity measurements comprising the stabilizers of the three-qubit repetition code protecting one logical qubit from physical bit-flip errors. We construct these stabilizers as parallelized indirect measurements using ancillary qubits, and evidence their non-demolition character by generating three-qubit entanglement from superposition states. We demonstrate stabilizer-based quantum error detection (QED) by subjecting a logical qubit to coherent and incoherent bit-flip errors on its constituent physical qubits. While increased physical qubit coherence times and shorter QED blocks are required to actively safeguard quantum information, this demonstration is a critical step toward larger codes based on multiple parity measurements.

  15. Simulation study on error propagation effects when determining second virial coefficients from the speed-of-sound or the Joule-Thomson experiment 

    E-Print Network [OSTI]

    Van Peursem, David J.

    1991-01-01T23:59:59.000Z

    . C. Experimental Errors IV. SPEED-OF-SOUND . . A. Research Method. B. Data Reduction and Analysis. . . 1. Perfect Data. a. First-Order Model Consistency Test. . . . . b. Second-Order Model Consistency Test . . . 2. Random Error Induced Data. 3.... . 2. Random Error Induced Data. 3. Systematic Error Induced Data. a. Fixed Absolute Errors. . . b. Fixed Fractional Errors, VI. CONCLUSIONS, LIST OF SYMBOLS . REFERENCES. APPENDIX A: SIMULATION LABORATORY DATA. A. Perfect Speed-of-Sound. B...

  16. Error Compensation of Single-Qubit Gates in a Surface Electrode Ion Trap Using Composite Pulses

    E-Print Network [OSTI]

    Emily Mount; Chingiz Kabytayev; Stephen Crain; Robin Harper; So-Young Baek; Geert Vrijsen; Steven Flammia; Kenneth R. Brown; Peter Maunz; Jungsang Kim

    2015-04-06T23:59:59.000Z

    The trapped atomic ion qubits feature desirable properties for use in a quantum computer such as long coherence times (Langer et al., 2005), high qubit measurement fidelity (Noek et al., 2013), and universal logic gates (Home et al., 2009). The quality of quantum logic gate operations on trapped ion qubits has been limited by the stability of the control fields at the ion location used to implement the gate operations. For this reason, the logic gates utilizing microwave fields (Brown et al., 2011; Shappert et al., 2013; Harty et al., 2014) have shown gate fidelities several orders of magnitude better than those using laser fields (Knill et al., 2008; Benhelm et al., 2008; Ballance et al., 2014). Here, we demonstrate low-error single-qubit gates performed using stimulated Raman transitions on an ion qubit trapped in a microfabricated chip trap. Gate errors are measured using a randomized benchmarking protocol (Knill et al., 2008; Wallman et al., 2014; Magesan et al., 2012), where amplitude error in the control beam is compensated using various pulse sequence techniques (Wimperis, 1994; Low et al., 2014). Using B2 compensation (Wimperis, 1994), we demonstrate single qubit gates with an average error per randomized Clifford group gate of $3.6(3)\\times10^{-4}$. We also show that compact palindromic pulse compensation sequences (PD$n$) (Low et al., 2014) compensate for amplitude errors as designed.

  17. Short-Term Load Forecasting Error Distributions and Implications for Renewable Integration Studies: Preprint

    SciTech Connect (OSTI)

    Hodge, B. M.; Lew, D.; Milligan, M.

    2013-01-01T23:59:59.000Z

    Load forecasting in the day-ahead timescale is a critical aspect of power system operations that is used in the unit commitment process. It is also an important factor in renewable energy integration studies, where the combination of load and wind or solar forecasting techniques create the net load uncertainty that must be managed by the economic dispatch process or with suitable reserves. An understanding of that load forecasting errors that may be expected in this process can lead to better decisions about the amount of reserves necessary to compensate errors. In this work, we performed a statistical analysis of the day-ahead (and two-day-ahead) load forecasting errors observed in two independent system operators for a one-year period. Comparisons were made with the normal distribution commonly assumed in power system operation simulations used for renewable power integration studies. Further analysis identified time periods when the load is more likely to be under- or overforecast.

  18. Correlated Component Analysis for diffuse component separation with error estimation on simulated Planck polarization data

    E-Print Network [OSTI]

    Ricciardi, S; Natoli, P; Polenta, G; Baccigalupi, C; Salerno, E; Kayabol, K; Bedini, L; De Zotti, G; 10.1111/j.1365-2966.2010.16819.x

    2010-01-01T23:59:59.000Z

    We present a data analysis pipeline for CMB polarization experiments, running from multi-frequency maps to the power spectra. We focus mainly on component separation and, for the first time, we work out the covariance matrix accounting for errors associated to the separation itself. This allows us to propagate such errors and evaluate their contributions to the uncertainties on the final products.The pipeline is optimized for intermediate and small scales, but could be easily extended to lower multipoles. We exploit realistic simulations of the sky, tailored for the Planck mission. The component separation is achieved by exploiting the Correlated Component Analysis in the harmonic domain, that we demonstrate to be superior to the real-space application (Bonaldi et al. 2006). We present two techniques to estimate the uncertainties on the spectral parameters of the separated components. The component separation errors are then propagated by means of Monte Carlo simulations to obtain the corresponding contributi...

  19. Fade-resistant forward error correction method for free-space optical communications systems

    DOE Patents [OSTI]

    Johnson, Gary W. (Livermore, CA); Dowla, Farid U. (Castro Valley, CA); Ruggiero, Anthony J. (Livermore, CA)

    2007-10-02T23:59:59.000Z

    Free-space optical (FSO) laser communication systems offer exceptionally wide-bandwidth, secure connections between platforms that cannot other wise be connected via physical means such as optical fiber or cable. However, FSO links are subject to strong channel fading due to atmospheric turbulence and beam pointing errors, limiting practical performance and reliability. We have developed a fade-tolerant architecture based on forward error correcting codes (FECs) combined with delayed, redundant, sub-channels. This redundancy is made feasible though dense wavelength division multiplexing (WDM) and/or high-order M-ary modulation. Experiments and simulations show that error-free communications is feasible even when faced with fades that are tens of milliseconds long. We describe plans for practical implementation of a complete system operating at 2.5 Gbps.

  20. Error and jitter effect studies on the SLED for BEPCII-linac

    E-Print Network [OSTI]

    Shi-Lun, Pei; Ou-Zheng, Xiao

    2011-01-01T23:59:59.000Z

    RF pulse compressor is a device to convert a long RF pulse to a short one with much higher peak RF magnitude. SLED can be regarded as the earliest RF pulse compressor used in large scale linear accelerators. It is widely studied around the world and applied in the BEPC and BEPCII linac for many years. During the routine operation, the error and jitter effects will deteriorate the SLED performance either on the output electromagnetic wave amplitude or phase. The error effects mainly include the frequency drift induced by cooling water temperature variation and the frequency/Q0/{\\beta} unbalances between the two energy storage cavities caused by mechanical fabrication or microwave tuning. The jitter effects refer to the PSK switching phase and time jitters. In this paper, we re-derived the generalized formulae for the conventional SLED used in the BEPCII linac. At last, the error and jitter effects on the SLED performance are investigated.

  1. HUMAN ERROR QUANTIFICATION USING PERFORMANCE SHAPING FACTORS IN THE SPAR-H METHOD

    SciTech Connect (OSTI)

    Harold S. Blackman; David I. Gertman; Ronald L. Boring

    2008-09-01T23:59:59.000Z

    This paper describes a cognitively based human reliability analysis (HRA) quantification technique for estimating the human error probabilities (HEPs) associated with operator and crew actions at nuclear power plants. The method described here, Standardized Plant Analysis Risk-Human Reliability Analysis (SPAR-H) method, was developed to aid in characterizing and quantifying human performance at nuclear power plants. The intent was to develop a defensible method that would consider all factors that may influence performance. In the SPAR-H approach, calculation of HEP rates is especially straightforward, starting with pre-defined nominal error rates for cognitive vs. action-oriented tasks, and incorporating performance shaping factor multipliers upon those nominal error rates.

  2. Error correcting code with chip kill capability and power saving enhancement

    DOE Patents [OSTI]

    Gara, Alan G. (Mount Kisco, NY); Chen, Dong (Croton On Husdon, NY); Coteus, Paul W. (Yorktown Heights, NY); Flynn, William T. (Rochester, MN); Marcella, James A. (Rochester, MN); Takken, Todd (Brewster, NY); Trager, Barry M. (Yorktown Heights, NY); Winograd, Shmuel (Scarsdale, NY)

    2011-08-30T23:59:59.000Z

    A method and system are disclosed for detecting memory chip failure in a computer memory system. The method comprises the steps of accessing user data from a set of user data chips, and testing the user data for errors using data from a set of system data chips. This testing is done by generating a sequence of check symbols from the user data, grouping the user data into a sequence of data symbols, and computing a specified sequence of syndromes. If all the syndromes are zero, the user data has no errors. If one of the syndromes is non-zero, then a set of discriminator expressions are computed, and used to determine whether a single or double symbol error has occurred. In the preferred embodiment, less than two full system data chips are used for testing and correcting the user data.

  3. Large-Scale Uncertainty and Error Analysis for Time-dependent Fluid/Structure Interactions in Wind Turbine Applications

    SciTech Connect (OSTI)

    Alonso, Juan J. [Stanford University; Iaccarino, Gianluca [Stanford University

    2013-08-25T23:59:59.000Z

    The following is the final report covering the entire period of this aforementioned grant, June 1, 2011 - May 31, 2013 for the portion of the effort corresponding to Stanford University (SU). SU has partnered with Sandia National Laboratories (PI: Mike S. Eldred) and Purdue University (PI: Dongbin Xiu) to complete this research project and this final report includes those contributions made by the members of the team at Stanford. Dr. Eldred is continuing his contributions to this project under a no-cost extension and his contributions to the overall effort will be detailed at a later time (once his effort has concluded) on a separate project submitted by Sandia National Laboratories. At Stanford, the team is made up of Profs. Alonso, Iaccarino, and Duraisamy, post-doctoral researcher Vinod Lakshminarayan, and graduate student Santiago Padron. At Sandia National Laboratories, the team includes Michael Eldred, Matt Barone, John Jakeman, and Stefan Domino, and at Purdue University, we have Prof. Dongbin Xiu as our main collaborator. The overall objective of this project was to develop a novel, comprehensive methodology for uncertainty quantification by combining stochastic expansions (nonintrusive polynomial chaos and stochastic collocation), the adjoint approach, and fusion with experimental data to account for aleatory and epistemic uncertainties from random variable, random field, and model form sources. The expected outcomes of this activity were detailed in the proposal and are repeated here to set the stage for the results that we have generated during the time period of execution of this project: 1. The rigorous determination of an error budget comprising numerical errors in physical space and statistical errors in stochastic space and its use for optimal allocation of resources; 2. A considerable increase in efficiency when performing uncertainty quantification with a large number of uncertain variables in complex non-linear multi-physics problems; 3. A solution to the long-time integration problem of spectral chaos approaches; 4. A rigorous methodology to account for aleatory and epistemic uncertainties, to emphasize the most important variables via dimension reduction and dimension-adaptive refinement, and to support fusion with experimental data using Bayesian inference; 5. The application of novel methodologies to time-dependent reliability studies in wind turbine applications including a number of efforts relating to the uncertainty quantification in vertical-axis wind turbine applications. In this report, we summarize all accomplishments in the project (during the time period specified) focusing on advances in UQ algorithms and deployment efforts to the wind turbine application area. Detailed publications in each of these areas have also been completed and are available from the respective conference proceedings and journals as detailed in a later section.

  4. The Residual Setup Errors of Different IGRT Alignment Procedures for Head and Neck IMRT and the Resulting Dosimetric Impact

    SciTech Connect (OSTI)

    Graff, Pierre [Department of Radiation-Oncology, Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, California (United States) [Department of Radiation-Oncology, Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, California (United States); Radiation-Oncology, Alexis Vautrin Cancer Center, Vandoeuvre-Les-Nancy (France); Doctoral School BioSE (EA4360), Nancy (France); Kirby, Neil [Department of Radiation-Oncology, Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, California (United States)] [Department of Radiation-Oncology, Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, California (United States); Weinberg, Vivian [Department of Radiation-Oncology, Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, California (United States) [Department of Radiation-Oncology, Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, California (United States); Department of Biostatistics, Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, California (United States); Chen, Josephine; Yom, Sue S. [Department of Radiation-Oncology, Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, California (United States)] [Department of Radiation-Oncology, Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, California (United States); Lambert, Louise [Department of Radiation-Oncology, Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, California (United States) [Department of Radiation-Oncology, Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, California (United States); Radiation-Oncology, Montreal University Centre, Montreal (Canada); Pouliot, Jean, E-mail: jpouliot@radonc.ucsf.edu [Department of Radiation-Oncology, Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, California (United States)] [Department of Radiation-Oncology, Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, California (United States)

    2013-05-01T23:59:59.000Z

    Purpose: To assess residual setup errors during head and neck radiation therapy and the resulting consequences for the delivered dose for various patient alignment procedures. Methods and Materials: Megavoltage cone beam computed tomography (MVCBCT) scans from 11 head and neck patients who underwent intensity modulated radiation therapy were used to assess setup errors. Each MVCBCT scan was registered to its reference planning kVCT, with seven different alignment procedures: automatic alignment and manual registration to 6 separate bony landmarks (sphenoid, left/right maxillary sinuses, mandible, cervical 1 [C1]-C2, and C7-thoracic 1 [T1] vertebrae). Shifts in the different alignments were compared with each other to determine whether there were any statistically significant differences. Then, the dose distribution was recalculated on 3 MVCBCT images per patient for every alignment procedure. The resulting dose-volume histograms for targets and organs at risk (OARs) were compared to those from the planning kVCTs. Results: The registration procedures produced statistically significant global differences in patient alignment and actual dose distribution, calling for a need for standardization of patient positioning. Vertically, the automatic, sphenoid, and maxillary sinuses alignments mainly generated posterior shifts and resulted in mean increases in maximal dose to OARs of >3% of the planned dose. The suggested choice of C1-C2 as a reference landmark appears valid, combining both OAR sparing and target coverage. Assuming this choice, relevant margins to apply around volumes of interest at the time of planning to take into account for the relative mobility of other regions are discussed. Conclusions: Use of different alignment procedures for treating head and neck patients produced variations in patient setup and dose distribution. With concern for standardizing practice, C1-C2 reference alignment with relevant margins around planning volumes seems to be a valid option.

  5. Error Channels and the Threshold for Fault-tolerant Quantum Computation

    E-Print Network [OSTI]

    Bryan Eastin

    2007-10-15T23:59:59.000Z

    This dissertation treats the topics of threshold calculation, ancilla construction, and non-standard error models. Chapter 2 introduces background material ranging from quantum mechanics to classical coding to thresholds for quantum computation. In Chapter 3 numerical and analytical means are used to generate estimates of and bounds on the threshold given an error model described by a restricted stochastic Pauli channel. Chapter 4 develops a simple, flexible means of estimating the threshold and applies it to some cases of interest. Finally, a novel method of ancilla construction is proposed in Chapter 5, and the difficulties associated with implementing it are discussed.

  6. Low delay and area efficient soft error correction in arbitration logic

    DOE Patents [OSTI]

    Sugawara, Yutaka

    2013-09-10T23:59:59.000Z

    There is provided an arbitration logic device for controlling an access to a shared resource. The arbitration logic device comprises at least one storage element, a winner selection logic device, and an error detection logic device. The storage element stores a plurality of requestors' information. The winner selection logic device selects a winner requestor among the requestors based on the requestors' information received from a plurality of requestors. The winner selection logic device selects the winner requestor without checking whether there is the soft error in the winner requestor's information.

  7. Knowledge-base for the new human reliability analysis method, A Technique for Human Error Analysis (ATHEANA)

    SciTech Connect (OSTI)

    Cooper, S.E. [Science Application International Corp., Reston, VA (United States); Wreathall, J. [John Wreathall & Co., Dublin, OH (United States); Thompson, C.M., Drouin, M. [Nuclear Regulatory Commission, Washington, DC (United States); Bley, D.C. [Buttonwood Consulting, Inc., Oakton, VA (United States)

    1996-10-01T23:59:59.000Z

    This paper describes the knowledge base for the application of the new human reliability analysis (HRA) method, a ``A Technique for Human Error Analysis`` (ATHEANA). Since application of ATHEANA requires the identification of previously unmodeled human failure events, especially errors of commission, and associated error-forcing contexts (i.e., combinations of plant conditions and performance shaping factors), this knowledge base is an essential aid for the HRA analyst.

  8. General Doppler Shift Equation and the Possibility of Systematic Error in Calculation of Z for High Redshift Type Ia Supernovae

    E-Print Network [OSTI]

    Steven M Taylor

    2007-04-10T23:59:59.000Z

    Systematic error in calculation of z for high redshift type Ia supernovae could help explain unexpected luminosity values that indicate an accelerating rate of expansion of the universe.

  9. Decreasing range resolution of a SAR image to permit correction of motion measurement errors beyond the SAR range resolution

    DOE Patents [OSTI]

    Doerry, Armin W. (Albuquerque, NM); Heard, Freddie E. (Albuquerque, NM); Cordaro, J. Thomas (Albuquerque, NM)

    2010-07-20T23:59:59.000Z

    Motion measurement errors that extend beyond the range resolution of a synthetic aperture radar (SAR) can be corrected by effectively decreasing the range resolution of the SAR in order to permit measurement of the error. Range profiles can be compared across the slow-time dimension of the input data in order to estimate the error. Once the error has been determined, appropriate frequency and phase correction can be applied to the uncompressed input data, after which range and azimuth compression can be performed to produce a desired SAR image.

  10. Error growth in poor ECMWF forecasts over the contiguous United States

    E-Print Network [OSTI]

    Modlin, Norman Ray

    1993-01-01T23:59:59.000Z

    are found to have the majority of RMS growth on day I while poor forecasts do not experience rapid error growth until days 3 and 4. For poor forecasts, the leading EOFs reveal a wave pattern down stream of the Rocky Mountains. This pattern evolves...

  11. PUBLISHED IN: PROCEEDINGS OF THE IEEE ICC 2013 1 Towards an Error Control Scheme for a

    E-Print Network [OSTI]

    Chatziantoniou, Damianos

    evaluation of its performance. An obvious use case for our scheme is the reliable delivery of softwarePUBLISHED IN: PROCEEDINGS OF THE IEEE ICC 2013 1 Towards an Error Control Scheme for a Publish for efficient content distribution. However, the design of efficient reliable transport protocols for multicast

  12. The Influence of Source and Cost of Information Access on Correct and Errorful Interactive Behavior

    E-Print Network [OSTI]

    Gray, Wayne

    The Influence of Source and Cost of Information Access on Correct and Errorful Interactive Behavior USA +1 703 993 1357 gray@gmu.edu ABSTRACT Routine interactive behavior reveals patterns of interaction to perform the task. Such interactions are difficult to study, in part, because they require collecting

  13. Paper No. 12A-12 ERRORS IN DESIGN LEADING TO PILE FAILURES DURING SEISMIC LIQUEFACTION

    E-Print Network [OSTI]

    Bolton, Malcolm

    Paper No. 12A-12 1 ERRORS IN DESIGN LEADING TO PILE FAILURES DURING SEISMIC LIQUEFACTION Subhamoy.K) University of Cambridge (U.K) ABSTRACT Collapse of piled foundations in liquefiable soils has been observed. The current method of pile design under earthquake loading is based on a bending mechanism where the inertia

  14. Using Energy-Efficient Overlays to Reduce Packet Error Rates in Wireless Ad-Hoc Networks

    E-Print Network [OSTI]

    Khan, Bilal

    the problem of how to balance Western Michigan University, MI. John Jay College of Criminal Justice, City1 Using Energy-Efficient Overlays to Reduce Packet Error Rates in Wireless Ad-Hoc Networks A. Al-Fuqaha G. Ben Brahim M. Guizani B. Khan Abstract-- In this paper we present new energy-efficient tech

  15. A review of the theory of Coriolis flowmeter measurement errors due to entrained particles

    E-Print Network [OSTI]

    Basse, Nils Plesner

    is provided in Table 1. The measurement errors due to compressibility increase with decreasing speed of sound,12]. Nomenclature: a fluid is either a liquid or a gas. A particle can be either a solid or a fluid (gas bubble or liquid droplet). To date, the published bubble theory has dealt with zero particle density combined

  16. Proving the Absence of RunTime Errors in SafetyCritical Avionics Code

    E-Print Network [OSTI]

    Cousot, Patrick

    , time­triggered, real­time, safety critical, embedded software as found in earth transportation, nuclearProving the Absence of Run­Time Errors in Safety­Critical Avionics Code Patrick Cousot École is not acceptable in safety and mission crit­ ical applications. An avenue is therefore opened for formal methods

  17. Particle-induced bit errors in high performance fiber optic data links for satellite data management

    SciTech Connect (OSTI)

    Marshall, P.W.; Carts, M.A. (Naval Research Lab., Washington, DC (United States) SFA, Inc., Landover, MD (United States)); Dale, C.J. (Naval Research Lab., Washington, DC (United States)); LaBel, K.A. (NASA Goddard Space Flight Center, Greenbelt, MD (United States))

    1994-12-01T23:59:59.000Z

    Experimental test methods and analysis tools are demonstrated to assess particle-induced bit errors on fiber optic link receivers for satellites. Susceptibility to direct ionization from low LET particles is quantified by analyzing proton and helium ion data as a function of particle LET. Existing single event analysis approaches are shown to apply, with appropriate modifications, to the regime of temporally (rather than spatially) distributed bits, even though the sensitivity to single events exceeds conventional memory technologies by orders of magnitude. The cross-section LET dependence follows a Weibull distribution at data rates from 200 to 1,000 Mbps and at various incident optical power levels. The LET threshold for errors is shown, through both experiment and modeling, to be 0 in all cases. The error cross-section exhibits a strong inverse dependence on received optical power in the LET range where most orbital single events would occur, thus indicating that errors can be minimized by operating links with higher incident optical power. Also, an analytic model is described which incorporates the appropriate physical characteristics of the link as well as the optical and receiver electrical characteristics. Results indicate appropriate steps to assure suitable link performance even in severe particle orbits.

  18. Publish/Subscribe Systems on Node and Link Error-Prone

    E-Print Network [OSTI]

    tower Cellular W ireless LA N #12;Motivations Mobile environments are error prone · Wireless link · Comparison pub/sub to client- server and polling models ES EBS ES/ ED Radio tower ES Cellular Wireless Node (,T) (cost of periodic publish or polling) s(n) (effect of sharing among n subscribers) tps (time

  19. Calibration of Visually Guided Reaching Is Driven by Error-Corrective Learning and Internal Dynamics

    E-Print Network [OSTI]

    Sabes, Philip

    Calibration of Visually Guided Reaching Is Driven by Error-Corrective Learning and Internal Submitted 22 August 2006; accepted in final form 16 December 2006 Cheng S, Sabes PN. Calibration of visually­3069, 2007. First published January 3, 2007; doi:10.1152/ jn.00897.2006. The sensorimotor calibration

  20. A New Error Control Scheme for Packetized Voice over HighSpeed Local Area Networks

    E-Print Network [OSTI]

    Liebeherr, Jörg

    propose a new error control mechanism for packet voice, referred to as Slack ARQ (S­ARQ). S­ARQ is based or priority channels. It does not require hardware support, imposes little overhead on network resources use of network resources than circuit switching. Statistical multiplexing, however, causes delay