Search Results - "Jarman, K. D."

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  1. 1

    Divergence of solutions to solute transport moment equations by Jarman, K. D., Tartakovsky, A. M.

    Published in Geophysical research letters (01-08-2008)
    “…We provide explicit solutions to one‐dimensional moment equations for solute transport in random porous media using asymptotic perturbation expansions up…”
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    Journal Article
  2. 2

    Indirect estimation of radioactivity in containerized cargo by Jarman, K.D., Scherrer, C., Smith, L.E., Chilton, L.K., Anderson, K.K., Ressler, J.J., Trease, L.L.

    Published in Radiation measurements (2011)
    “…Naturally occurring radioactive material in containerized cargo challenges the state of the art in national and international efforts to detect illicit nuclear…”
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    Journal Article
  3. 3

    Improvements in the method of radiation anomaly detection by spectral comparison ratios by Pfund, D.M., Anderson, K.K., Detwiler, R.S., Jarman, K.D., McDonald, B.S., Milbrath, B.D., Myjak, M.J., Paradis, N.C., Robinson, S.M., Woodring, M.L.

    Published in Applied radiation and isotopes (01-04-2016)
    “…We present a new procedure for configuring the Nuisance-rejection Spectral Comparison Ratio Anomaly Detection (N-SCRAD) method. The procedure minimizes…”
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    Journal Article
  4. 4

    Imaging for dismantlement verification: Information management and analysis algorithms by Robinson, S.M., Jarman, K.D., Pitts, W.K., Seifert, A., Misner, A.C., Woodring, M.L., Myjak, M.J.

    “…The level of detail discernible in imaging techniques has generally excluded them from consideration as verification tools in inspection regimes. An image will…”
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    Journal Article
  5. 5

    Discriminating nuclear threats from benign sources in gamma-ray spectra using a spectral comparison ratio method by Anderson, K. K., Jarman, K. D., Mann, M. L., Pfund, D. M., Runkle, R. C.

    “…This manuscript presents a method for categorizing gamma-ray spectra as indicative of benign or threat sources. Reported here is a method of spectral…”
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    Journal Article
  6. 6

    Sequence optimization as an alternative to de novo analysis of tandem mass spectrometry data by Heredia-Langner, Alejandro, Cannon, William R., Jarman, Kenneth D., Jarman, Kristin H.

    Published in Bioinformatics (22-09-2004)
    “…Motivation: Peptide identification following tandem mass spectrometry (MS/MS) is usually achieved by searching for the best match between the mass spectrum of…”
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    Journal Article
  7. 7

    Sequential probability ratio test for long-term radiation monitoring by Jarman, K.D., Smith, L.E., Carlson, D.K.

    Published in IEEE transactions on nuclear science (01-08-2004)
    “…Among the possible decision-making algorithms for sequentially-acquired radiation sensor data is the Sequential Probability Ratio Test (SPRT). The suitability…”
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    Journal Article
  8. 8

    Examination of Count-Starved Gamma Spectra Using the Method of Spectral Comparison Ratios by Pfund, D.M., Runkle, R.C., Anderson, K.K., Jarman, K.D.

    Published in IEEE transactions on nuclear science (01-08-2007)
    “…We discuss the determination of energy region (bin) boundaries and decision metrics for gamma-ray spectra, acquired using a mid-resolution detector, that are…”
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    Journal Article
  9. 9

    Comparison of Probability and Likelihood Models for Peptide Identification from Tandem Mass Spectrometry Data by Cannon, William R, Jarman, Kristin H, Webb-Robertson, Bobbie-Jo M, Baxter, Douglas J, Oehmen, Christopher S, Jarman, Kenneth D, Heredia-Langner, Alejandro, Auberry, Kenneth J, Anderson, Gordon A

    Published in Journal of proteome research (01-09-2005)
    “…We evaluate statistical models used in two-hypothesis tests for identifying peptides from tandem mass spectrometry data. The null hypothesis H 0, that a…”
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    Journal Article
  10. 10

    Improved peptide sequencing using isotope information inherent in tandem mass spectra by Cannon, William R., Jarman, Kenneth D.

    Published in Rapid communications in mass spectrometry (01-01-2003)
    “…We demonstrate here the use of natural isotopic ‘labels’ in peptides to aid in the identification of peptides with a de novo algorithm. Using data from ion…”
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    Journal Article
  11. 11

    A model of random sequences for de novo peptide sequencing by Jarman, K.D., Cannon, W.R., Jarman, K.H., Heredia-Langner, A.

    “…We present a model for the probability of random sequences appearing in product ion spectra obtained from tandem mass spectrometry experiments using…”
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    Conference Proceeding