• DocumentCode
    1679962
  • Title

    Photons counting of a 2D silicon μ-strip detector in high X-rays flux environment: double coincidences recovery

  • Author

    Del Guerra, A. ; Gambaccini, M. ; Marziani, M. ; Marchesini, R. ; Taibi, A. ; Bisogni, M.G. ; Bottigli, U. ; Fantacci, E. ; Rosso, V. ; Tripiccione, Stefanini R. ; Bertolucci, E. ; Conti, M. ; Russo, P. ; Beccherle, R.

  • Author_Institution
    Dipartimento di Fisica, Ferrara Univ., Italy
  • Volume
    3
  • fYear
    1995
  • Firstpage
    1642
  • Abstract
    The double coincidence probability is a well known limitation to the rate capability of a 2-D detector with independent X- and Y-readout. The authors have implemented a parametric Monte Carlo simulation which could help in optimizing the double coincidence recovery. They have applied the parametric simulation to a specific 2-D solid state detector, they are developing for application in digital mammography
  • Keywords
    Monte Carlo methods; X-ray detection; biomedical equipment; diagnostic radiography; silicon radiation detectors; 2D silicon μ-strip detector; 2D solid state detector; Si; digital mammography; double coincidences recovery; high X-rays flux environment; independent X-/Y-readout; medical diagnostic imaging; medical instrumentation; parametric simulation; photon counting; rate capability; Data acquisition; Electrodes; Event detection; Gas detectors; Mammography; Sampling methods; Silicon; Strips; X-ray detection; X-ray detectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Nuclear Science Symposium and Medical Imaging Conference Record, 1995., 1995 IEEE
  • Conference_Location
    San Francisco, CA
  • Print_ISBN
    0-7803-3180-X
  • Type

    conf

  • DOI
    10.1109/NSSMIC.1995.500384
  • Filename
    500384