On the use of Monte Carlo simulations to model transport of positrons in gases and liquids

Petrović, Zoran Lj., Marjanović, Srdjan, Dujko, Sǎsa, Banković, Ana, Malović, Gordana, Buckman, Stephen, Garcia, Gustavo, White, Ron, and Brunger, Michael (2014) On the use of Monte Carlo simulations to model transport of positrons in gases and liquids. Applied Radiation and Isotopes, 83 (Part B). pp. 148-154.

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In this paper we make a parallel between the swarm method in physics of ionized gases and modeling of positrons in radiation therapy and diagnostics. The basic idea is to take advantage of the experience gained in the past with electron swarms and to use it in establishing procedures of modeling positron diagnostics and therapy based on the well-established experimental binary collision data. In doing so we discuss the application of Monte Carlo technique for positrons in the same manner as used previously for electron swarms, we discuss the role of complete cross section sets (complete in terms of number, momentum and energy balance and tested against measured swarm parameters), we discuss the role of benchmarks and how to choose benchmarks for electrons that may perhaps be a subject to experimental verification. Finally we show some samples of positron trajectories together with secondary electrons that were established solely on the basis of accurate binary cross sections and also how those may be used in modeling of both gas filled traps and living organisms.

Item ID: 31670
Item Type: Article (Research - C1)
ISSN: 0969-8043
Keywords: positrons, Monte Carlo simulations, benchmarks, radiation damage
Funders: MNTR Sebia
Projects and Grants: MNTR Contract ON171037, MNTR Contract III41011, MNTR Contract SANU155
Date Deposited: 26 Feb 2014 09:32
FoR Codes: 02 PHYSICAL SCIENCES > 0202 Atomic, Molecular, Nuclear, Particle and Plasma Physics > 020201 Atomic and Molecular Physics @ 80%
02 PHYSICAL SCIENCES > 0204 Condensed Matter Physics > 020404 Electronic and Magnetic Properties of Condensed Matter; Superconductivity @ 20%
SEO Codes: 97 EXPANDING KNOWLEDGE > 970102 Expanding Knowledge in the Physical Sciences @ 100%
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