Preliminary results coupling "Stochastic Mean Field" and "Boltzmann-Langevin One Body" models with Geant4.

Hadron-therapy Ion therapy Monte Carlo simulation Nuclear reaction

Journal

Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB)
ISSN: 1724-191X
Titre abrégé: Phys Med
Pays: Italy
ID NLM: 9302888

Informations de publication

Date de publication:
Nov 2019
Historique:
received: 31 01 2019
revised: 02 10 2019
accepted: 13 10 2019
pubmed: 11 11 2019
medline: 6 5 2020
entrez: 10 11 2019
Statut: ppublish

Résumé

Monte Carlo (MC) simulations are widely used for medical applications and nuclear reaction models are fundamental for the simulation of the particle interactions with patients in ion therapy. Therefore, it is of utmost importance to have reliable models in MC simulations for such interactions. Geant4 is one of the most used toolkits for MC simulation. However, its models showed severe limitations in reproducing the yields measured in the interaction of ion beams below 100 MeV/u with thin targets. For this reason, we interfaced two models, SMF ("Stochastic Mean Field") and BLOB ("Boltzmann-Langevin One Body"), dedicated to simulate such reactions, with Geant4. Both SMF and BLOB are semi-classical, one-body approaches to solve the Boltzmann-Langevin equation. They include an identical treatment of the mean-field propagation, on the basis of the same effective interaction, but they differ in the way fluctuations are included. Furthermore, we tested a correction to the excitation energy calculated for the light fragments emerging from the simulations and a simple coalescence model. While both SMF and BLOB have been developed to simulate heavy ion interactions, they show very good results in reproducing the experimental yields of light fragments, up to alpha particles, obtained in the interaction of BLOB in particular gives promising results and this stresses the importance of integrating it into the Geant4 toolkit.

Identifiants

pubmed: 31706147
pii: S1120-1797(19)30475-2
doi: 10.1016/j.ejmp.2019.10.026
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

116-122

Informations de copyright

Copyright © 2019 Associazione Italiana di Fisica Medica. All rights reserved.

Auteurs

C Mancini-Terracciano (C)

Dip. Fisica, Sapienza Univ. di Roma, Rome, Italy; INFN Sezione di Roma, Rome, Italy. Electronic address: carlo.mancini.terracciano@roma1.infn.it.

M Asai (M)

SLAC National Accelerator Laboratory, Menlo Park, United States.

B Caccia (B)

National Center for Radiation Protection and Computational Physics, Istituto Superiore di Sanit, Italy.

G A P Cirrone (GAP)

INFN, Laboratori Nazionali del Sud, Catania, Italy.

A Dotti (A)

SLAC National Accelerator Laboratory, Menlo Park, United States.

R Faccini (R)

Dip. Fisica, Sapienza Univ. di Roma, Rome, Italy; INFN Sezione di Roma, Rome, Italy.

P Napolitani (P)

IPN, CNRS/IN2P3, Université Paris-Sud 11, UniversitéParis-Saclay, 91406 Orsay Cedex, France.

L Pandola (L)

INFN, Laboratori Nazionali del Sud, Catania, Italy.

D H Wright (DH)

SLAC National Accelerator Laboratory, Menlo Park, United States.

M Colonna (M)

INFN, Laboratori Nazionali del Sud, Catania, Italy.

Articles similaires

Humans Adaptation, Psychological Female Male Sense of Coherence
Monte Carlo Method Models, Neurological Neuronal Plasticity Computational Biology Humans
Monte Carlo Method Fiber Optic Technology Scattering, Radiation Spectrum Analysis Equipment Design
Stochastic Processes Humans HIV Infections Pre-Exposure Prophylaxis Mathematical Concepts

Classifications MeSH