Literature DB >> 10619245

Nuclear interactions of 160 MeV protons stopping in copper: a test of Monte Carlo nuclear models.

B Gottschalk1, R Platais, H Paganetti.   

Abstract

To estimate the influence of nuclear interactions on dose or biological effect one uses Monte Carlo programs which include nuclear models. We introduce an experimental method to check these models at proton therapy energies. We have measured the distribution of charge deposited by 160 MeV protons stopping in a stack of insulated copper plates. A buildup region ahead of the main peak contains approximately 20% of the total charge and is entirely due to charged secondaries from inelastic nuclear interactions. The acceptance for charged secondaries is 100%. Therefore the data are a good benchmark for nuclear models. We have simulated the stack using GEANT with two nuclear models. FLUKA agrees fairly well with the measurement but GHEISHA, designed for much higher energies, does not. The experimental method will work for many other materials, including insulators. Therefore it can also be used for light nuclei.

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Year:  1999        PMID: 10619245     DOI: 10.1118/1.598799

Source DB:  PubMed          Journal:  Med Phys        ISSN: 0094-2405            Impact factor:   4.071


  4 in total

1.  Energy spectrum control for modulated proton beams.

Authors:  Wen C Hsi; Michael F Moyers; Dmitri Nichiporov; Vladimir Anferov; Mark Wolanski; Chris E Allgower; Jonathan B Farr; Anthony E Mascia; Andries N Schreuder
Journal:  Med Phys       Date:  2009-06       Impact factor: 4.071

2.  TOPAS: an innovative proton Monte Carlo platform for research and clinical applications.

Authors:  J Perl; J Shin; J Schumann; B Faddegon; H Paganetti
Journal:  Med Phys       Date:  2012-11       Impact factor: 4.071

3.  Experimental validation of the TOPAS Monte Carlo system for passive scattering proton therapy.

Authors:  M Testa; J Schümann; H-M Lu; J Shin; B Faddegon; J Perl; H Paganetti
Journal:  Med Phys       Date:  2013-12       Impact factor: 4.071

Review 4.  Monte Carlo methods for device simulations in radiation therapy.

Authors:  Hyojun Park; Harald Paganetti; Jan Schuemann; Xun Jia; Chul Hee Min
Journal:  Phys Med Biol       Date:  2021-09-14       Impact factor: 4.174

  4 in total

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