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

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.

► We analyze the application of Monte Carlo method for electrons in collisional plasmas.
► We try to implement the same technique for positron diagnostics and therapy.
► We explain how completeness of cross section sets is tested against swarm experiments.
► We propose use of averaged properties of the positron swarm for benchmarks.
► We present some new results for range, energy deposition and simulated tracks.