Issue |
EPJ Web Conf.
Volume 153, 2017
ICRS-13 & RPSD-2016, 13th International Conference on Radiation Shielding & 19th Topical Meeting of the Radiation Protection and Shielding Division of the American Nuclear Society - 2016
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Article Number | 08018 | |
Number of page(s) | 5 | |
Section | 8. Special Sessions | |
DOI | https://doi.org/10.1051/epjconf/201715308018 | |
Published online | 25 September 2017 |
https://doi.org/10.1051/epjconf/201715308018
Characterization of the PTW 34031 ionization chamber (PMI) at RCNP with high energy neutrons ranging from 100 – 392 MeV
1 CERN, HSE-RP, Geneva 23, CH-1211 Geneva, Switzerland
2 JAEA, Tokai-mura, Japan
3 KEK, Tsukuba, Japan
4 Kyoto University, Kyoto, Japan
5 AIST, Tsukuba, Japan
6 RIKEN, Tsukuba, Japan
7 Tohoku University, Sendai, Japan
8 Spring-8 synchrotron radiation facility, Hyogo, Japan
9 Institute of Technology, Shimizu Corporation, Tokyo, Japan
10 RCNP, Osaka University, Osaka, Japan
a Corresponding author: christian.theis@cern.ch
Published online: 25 September 2017
Radiation monitoring at high energy proton accelerators poses a considerable challenge due to the complexity of the encountered stray radiation fields. These environments comprise a wide variety of different particle types and span from fractions of electron-volts up to several terra electron-volts. As a consequence the use of Monte Carlo simulation programs like FLUKA is indispensable to obtain appropriate field-specific calibration factors. At many locations of the LHC a large contribution to the particle fluence is expected to originate from high-energy neutrons and thus, benchmark experiments with mono-energetic neutron beams are of high importance to verify the aforementioned detector response calculations. This paper summarizes the results of a series of benchmark experiments with quasi mono-energetic neutrons of 100, 140, 200, 250 and 392 MeV that have been carried out at RCNP - Osaka University, during several campaigns between 2006 and 2014.
© The Authors, published by EDP Sciences, 2017
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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