Monte Carlo Track Structure Code for Low-Energy Alpha-Particles in Water

2002 ◽  
Vol 106 (42) ◽  
pp. 11051-11063 ◽  
Author(s):  
Shuzo Uehara ◽  
Hooshang Nikjoo
Keyword(s):  
Monte Carlo ◽  
Alpha Particles ◽  
Low Energy ◽  
Track Structure ◽  
Structure Code

Development of a Monte Carlo track structure code for low-energy protons in water

2001 ◽  
Vol 77 (2) ◽  
pp. 139-154 ◽  
Author(s):  
S. Uehara ◽  
L. H. Toburen ◽  
H. Nikjoo
Keyword(s):  
Monte Carlo ◽  
Low Energy ◽  
Track Structure ◽  
Structure Code

A Monte Carlo track structure code for low energy protons

2002 ◽  
Vol 194 (2) ◽  
pp. 123-131 ◽  
Author(s):  
S. Endo ◽  
E. Yoshida ◽  
H. Nikjoo ◽  
S. Uehara ◽  
M. Hoshi ◽  
...  
Keyword(s):  
Monte Carlo ◽  
Low Energy ◽  
Track Structure ◽  
Structure Code

Track structure modeling in liquid water: A review of the Geant4-DNA very low energy extension of the Geant4 Monte Carlo simulation toolkit

2015 ◽  
Vol 31 (8) ◽  
pp. 861-874 ◽  
Author(s):  
M.A. Bernal ◽  
M.C. Bordage ◽  
J.M.C. Brown ◽  
M. Davídková ◽  
E. Delage ◽  
...  
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Liquid Water ◽  
Low Energy ◽  
Structure Modeling ◽  
Track Structure ◽  
Geant4 Monte Carlo Simulation

Towards parameter-free nanodosimetric quantities in the impact of highly ionizing radiation  

2021 ◽  
Author(s):  
Fabiana Da Pieve ◽  
Bin Gu ◽  
Natalia Koval ◽  
Daniel Muñoz Santiburcio ◽  
Jos Teunissen ◽  
...  
Keyword(s):  
Monte Carlo ◽  
Radiation Effects ◽  
High Energy ◽  
Low Energy ◽  
Track Structure ◽  
Medical Patients ◽  
Radiation Physics ◽  
High Let Radiation ◽  
High Let ◽  
The Impact

<p>Cosmic Rays, in particular the high charge and high energy (HZE) particles and eventual secondary low energy protons, are high Linear Energy Transfer (LET) radiation, i.e. they transfer a high amount of energy to the target per unit path length travelled in the target itself, leaving behind a dense track of ionization and atomic excitations. Understanding the radiation physics and the biology induced by the impact of high LET radiation is of importance for different fields of research, such as radiation therapy with charged particles, space radiation protection of astronauts and of human explorers on Mars and eventually also survival of any bacterial, plant cell on other planetary/small bodies. While data for low LET radiation  such as X-ray have been studied in the survivors of the atomic-bombs, medical patients and nuclear reactor workers, for high LET radiation there is no relevant collection of human data for risk estimates, and experiments with nuclei created at accelerators are necessary.</p><p>At present we still do not have an understanding of how the  radiation  interaction  with a  single nanometric  target (units of DNA), the so-called track  structure [1],  should  decide  the  fate  of  the  irradiated cell. Monte Carlo (MC) track structure codes essentially work only with the physics given by impact cross sections on the sole water, there is no real consideration of the electronic/chemical characteristics of the hosted biomolecule [2]. Limitations given by such an approach have been highlighted [3], but on the positive side a massive effort is being done to follow the different steps of radiation effects up to biological damage [4].</p><p>In this contribution we would like to highlight how a chain of models from different communities could be of help to study the radiation effects on biomolecules. In particular, we will present how ab-initio (parameter-free) approaches from the chemical-physics community can be used to derive in detail the energy loss of the impacting ions/secondary electrons on water and small biological units [5,6], either following in real time the ion or based on perturbative theories for low energy electrons, and how the derived quantity can be given  as input to Monte Carlo track structure codes, extending their capabilities to different relevant targets. Given the physical limitations and high costs of irradiation experiments, such calculations offer an efficient approach that can boost the understanding of radiation physics and consolidate existing MC track structure codes.</p><p>This work is initiated in the context of the EU H2020 project ESC2RAD, Grant 776410.</p><p>[1] H. Nikjoo, S. Uehara, W.E. Wilson, et al, International Journal of Radiation Biology 73, 355 (1998)</p><p>[2] H. Palmans, H Rabus, A L Belchior, et al, Br. J. Radiol. 88, 20140392 (2015)</p><p>[3] H. Rabus and H. Nettelback, Radiation Measurements 46, 1522 (2011)</p><p>[4] M. Karamitros, S. Luan, M.A. Bernal, et al,  Journal of Computational Physics 274,  841 (2014)</p><p>[5] B. Gu, B. Cunningham D. Munoz-Santiburcio, F. Da Pieve, E. Artacho and J. Kohanoff, J. Chem. Phys. 153, 034113 (2020)</p><p>[6] N. Koval, J. Kohanoff, E. Artacho et al, in preparation</p>

Effect of a magnetic field on the track structure of low-energy electrons: a Monte Carlo study

2010 ◽  
Vol 60 (1) ◽  
pp. 85-92 ◽  
Author(s):  
M. U. Bug ◽  
E. Gargioni ◽  
S. Guatelli ◽  
S. Incerti ◽  
H. Rabus ◽  
...  
Keyword(s):  
Magnetic Field ◽  
Monte Carlo ◽  
Monte Carlo Study ◽  
Low Energy ◽  
Track Structure ◽  
Low Energy Electrons
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