• DocumentCode
    3459694
  • Title

    An algorithm for intrinsic gain and offset stabilization of gamma-ray pulse height spectra

  • Author

    Lu, Jiang-hong ; Watson, Charles C.

  • Author_Institution
    MIT, Cambridge, MA, USA
  • fYear
    1991
  • fDate
    2-9 Nov. 1991
  • Firstpage
    1052
  • Abstract
    The authors describe a novel algorithm for the intrinsic stabilization of the pulse height spectra (PHS) of multiply scattered gamma -rays which does not rely on the use of radioactive check sources, but makes gain and offset corrections based on spectral shape. In the implementation, the input spectrum is transformed (interpolated) from assumed (trial) values of gain and offset to a set of standard values, the PHS are projected onto four spectral principal components, and the mean square error between the transformed input spectrum and its rank four representation is minimized. For noise-spectra, it is found that the algorithm can estimate gain with a RMS (root-mean square) error of 1%, and offset with an RMS error of 0.6 keV when the spectral components are determined from the test data. For noisy spectra the RMS error for gain and offset are 4% and 1.7 keV, respectively.<>
  • Keywords
    gamma-ray spectroscopy; pulse height analysers; RMS error; gamma-ray pulse height spectra; intrinsic gain; mean square error; multiply scattered gamma -rays; noise-spectra; noisy spectra; offset corrections; offset stabilization; rank four representation; root-mean square; spectral shape; standard values; Density measurement; Detectors; Electromagnetic scattering; Gain measurement; Mean square error methods; Particle scattering; Pulse measurements; Pulse shaping methods; Spectral shape; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Nuclear Science Symposium and Medical Imaging Conference, 1991., Conference Record of the 1991 IEEE
  • Conference_Location
    Santa Fe, NM, USA
  • Print_ISBN
    0-7803-0513-2
  • Type

    conf

  • DOI
    10.1109/NSSMIC.1991.259082
  • Filename
    259082