MCNPX-PoliMi post-processing algorithm for detector response simulations

Eric C. Miller, Shaun D. Clarke, Marek Flaska, Sara A. Pozzi, Enrico Padovani

Research output: Contribution to journalArticle

35 Scopus citations

Abstract

In the field of nuclear material detection and characterization, Monte Carlo simulations provide valuable insight into complex radiation transport problems. However, in many applications, it is the detector response that is desired. MPPost is a FORTRAN program that has been developed to interpret the results from the Monte Carlo code MCNPX-PoliMi and return a realistic prediction of the detector response. This program is an enhanced version of an earlier MCNP-PoliMi post processor written in Matlab.1 The conversion to a FORTRAN based algorithm allows MPPost to process much greater volumes of data that would be impossible to handle with a Matlab based equivalent. This paper describes the development of MPPost and outlines its capabilities. MPPost was designed specifically for the MCNPX-PoliMi data output file. This file consists of a comprehensive list of collision events that occur in each detector cell. The MPPost program uses this summary of collision events to model the response in a detector volume. By characterizing the response of a detector with empirically determined parameters, accurate simulation of the detector response is obtained. In addition, the program can perform several common analysis techniques. These are described in this report.

Original languageEnglish (US)
Pages (from-to)34-41
Number of pages8
JournalJournal of Nuclear Materials Management
Volume40
Issue number2
StatePublished - Dec 1 2012

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All Science Journal Classification (ASJC) codes

  • Nuclear Energy and Engineering
  • Safety, Risk, Reliability and Quality
  • Waste Management and Disposal

Cite this

Miller, E. C., Clarke, S. D., Flaska, M., Pozzi, S. A., & Padovani, E. (2012). MCNPX-PoliMi post-processing algorithm for detector response simulations. Journal of Nuclear Materials Management, 40(2), 34-41.