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Monte Carlo simulation of proton track structure in biological matter

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Abstract

Understanding the radiation-induced effects at the cellular and subcellular levels remains crucial for predicting the evolution of irradiated biological matter. In this context, Monte Carlo track-structure simulations have rapidly emerged among the most suitable and powerful tools. However, most existing Monte Carlo track-structure codes rely heavily on the use of semi-empirical cross sections as well as water as a surrogate for biological matter. In the current work, we report on the up-to-date version of our homemade Monte Carlo code TILDA-V – devoted to the modeling of the slowing-down of 10 keV–100 MeV protons in both water and DNA – where the main collisional processes are described by means of an extensive set of ab initio differential and total cross sections.

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Authors and Affiliations

  1. Instituto de Física Rosario, CONICET – Universidad Nacional de Rosario, S, 2000, EKF Rosario, Argentina

    Michele A. Quinto, Juan M. Monti, Omar A. Fojón, Jocelyn Hanssen & Roberto D. Rivarola

  2. Sandia National Laboratories, Albuquerque, NM, USA

    Philippe F. Weck

  3. Université de Lorraine, CNRS, Institut de Chimie, Physique et Matériaux, 57 000, Metz, France

    Philippe Senot

  4. Université de Bordeaux, CNRS/IN2P3, Centre d’Etudes Nucléaires de Bordeaux Gradignan, CENBG, 33170, Gradignan, France

    Christophe Champion

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  1. Michele A. Quinto
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  2. Juan M. Monti
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  4. Omar A. Fojón
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Correspondence to Christophe Champion.

Additional information

Contribution to the Topical Issue “Many Particle Spectroscopy of Atoms, Molecules, Clusters and Surfaces”, edited by A.N. Grum-Grzhimailo, E.V. Gryzlova, Yu V. Popov, and A.V. Solov’yov.

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Quinto, M.A., Monti, J.M., Weck, P.F. et al. Monte Carlo simulation of proton track structure in biological matter. Eur. Phys. J. D 71, 130 (2017). https://doi.org/10.1140/epjd/e2017-70709-6

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