Monte Carlo simulation of the full multiplicity distributions measured with a passive counter

E. C. Miller, S. D. Clarke, Marek Flaska, S. A. Pozzi, P. Peerani

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

The objective of the work here is to validate the Monte Carlo code MCNP-PoliMi using comparisons with experimental data for the specific problem of neutron multiplicity counting with He-3 detectors. Measurements of various fissionable samples have been made with an active well coincidence counter (AWCC) operating in passive mode at the PERLA laboratory at Joint Research Center site in Ispra, Italy. The MCNP-PoliMi postprocessor was upgraded to explicitly simulate the deadtime in the PERLA measurement electronics. The results from MCNP-PoliMi have been compared to the measured data from 252Cf sources and several plutonium and plutonium oxide samples. Very good agreement between the simulated and measured multiplicity distributions has been observed for multiplet orders as high as 25.

Original languageEnglish (US)
Title of host publicationAmerican Nuclear Society - International Conference on Mathematics, Computational Methods and Reactor Physics 2009, M and C 2009
Pages1476-1485
Number of pages10
StatePublished - Dec 1 2009
EventInternational Conference on Mathematics, Computational Methods and Reactor Physics 2009, M and C 2009 - Saratoga Springs, NY, United States
Duration: May 3 2009May 7 2009

Publication series

NameAmerican Nuclear Society - International Conference on Mathematics, Computational Methods and Reactor Physics 2009, M and C 2009
Volume3

Other

OtherInternational Conference on Mathematics, Computational Methods and Reactor Physics 2009, M and C 2009
CountryUnited States
CitySaratoga Springs, NY
Period5/3/095/7/09

All Science Journal Classification (ASJC) codes

  • Nuclear Energy and Engineering
  • Computational Mathematics
  • Nuclear and High Energy Physics

Fingerprint Dive into the research topics of 'Monte Carlo simulation of the full multiplicity distributions measured with a passive counter'. Together they form a unique fingerprint.

  • Cite this

    Miller, E. C., Clarke, S. D., Flaska, M., Pozzi, S. A., & Peerani, P. (2009). Monte Carlo simulation of the full multiplicity distributions measured with a passive counter. In American Nuclear Society - International Conference on Mathematics, Computational Methods and Reactor Physics 2009, M and C 2009 (pp. 1476-1485). (American Nuclear Society - International Conference on Mathematics, Computational Methods and Reactor Physics 2009, M and C 2009; Vol. 3).