Here, 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.
Quinto, Michele A., et al. "Monte Carlo simulation of proton track structure in biological matter." European Physical Journal. D, Atomic, Molecular, Optical and Plasma Physics, vol. 71, no. 5, May. 2017. https://doi.org/10.1140/epjd/e2017-70709-6
Quinto, Michele A., Monti, Juan M., Weck, Philippe F., Fojon, Omar A., Hanssen, Jocelyn, Rivarola, Roberto D., Senot, Philippe, & Champion, Christophe (2017). Monte Carlo simulation of proton track structure in biological matter. European Physical Journal. D, Atomic, Molecular, Optical and Plasma Physics, 71(5). https://doi.org/10.1140/epjd/e2017-70709-6
Quinto, Michele A., Monti, Juan M., Weck, Philippe F., et al., "Monte Carlo simulation of proton track structure in biological matter," European Physical Journal. D, Atomic, Molecular, Optical and Plasma Physics 71, no. 5 (2017), https://doi.org/10.1140/epjd/e2017-70709-6
@article{osti_1369447,
author = {Quinto, Michele A. and Monti, Juan M. and Weck, Philippe F. and Fojon, Omar A. and Hanssen, Jocelyn and Rivarola, Roberto D. and Senot, Philippe and Champion, Christophe},
title = {Monte Carlo simulation of proton track structure in biological matter},
annote = {Here, 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.},
doi = {10.1140/epjd/e2017-70709-6},
url = {https://www.osti.gov/biblio/1369447},
journal = {European Physical Journal. D, Atomic, Molecular, Optical and Plasma Physics},
issn = {ISSN 1434-6060},
number = {5},
volume = {71},
place = {United States},
publisher = {Springer},
year = {2017},
month = {05}}