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Monte Carlo model for ion mobility and diffusion for characteristic electric fields in nanodosimetry

Kempf, Irina; Schneider, Uwe (2024). Monte Carlo model for ion mobility and diffusion for characteristic electric fields in nanodosimetry. Zeitschrift für medizinische Physik, 34(1):140-152.

Abstract

The quantification of the effects of space radiation for manned spaceflight can be approximated by nanodosimetric measurements. For the development of nanodosimetric detectors, a Monte Carlo model for ion mobility and diffusion for characteristic electric fields is presented. This model can be used to describe the interactions of ions in their parent gas based solely on commonly known input parameters, such as the ionization potential, kinetic diameter, molar mass, and polarizability of the gas. A model for approximating the resonant charge exchange cross section has been proposed, requiring only the ionization energy and mass of the parent gas as input parameters. The method proposed in this work was tested against experimental drift velocity data for a wide range of gases (helium, neon, nitrogen, argon, krypton, carbon monoxide, carbon dioxide, oxygen, propane). The transverse diffusion coefficients were compared to experimental values for helium, nitrogen, neon, argon, and propane gas. With the Monte Carlo code and resonant charge exchange cross section approximation model presented in this work, it is now possible to calculate an estimate of the drift velocities, transverse diffusion, and thus the ion mobility of ions in their parent gas. This is essential for further nanodosimetric detector development, as those parameters are often not well known for the gas mixtures used in nanodosimetry.

Additional indexing

Item Type:Journal Article, refereed, original work
Communities & Collections:07 Faculty of Science > Physics Institute
Dewey Decimal Classification:530 Physics
Scopus Subject Areas:Health Sciences > Radiological and Ultrasound Technology
Life Sciences > Biophysics
Health Sciences > Radiology, Nuclear Medicine and Imaging
Uncontrolled Keywords:Radiology, Nuclear Medicine and imaging, Radiological and Ultrasound Technology, Biophysics
Language:English
Date:1 February 2024
Deposited On:15 Dec 2023 12:06
Last Modified:30 Oct 2024 02:38
Publisher:Elsevier
ISSN:0939-3889
OA Status:Gold
Publisher DOI:https://doi.org/10.1016/j.zemedi.2022.12.006
PubMed ID:36803393
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  • Content: Accepted Version
  • Language: English
  • Licence: Creative Commons: Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)

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