Monte Carlo simulations

The Monte Carlo method is a numerical approach to solve physical problems. It is based on statistical techniques and it is very useful to describe complex systems that cannot be fully modelled in a realistic way using deterministic methods. Therefore, by using Monte Carlo techniques it is possible to describe a complex process by means of its individual events, in such a way that the target physiscal magnitude can be described in the large-number-of-events limit. This imposes a computational limitation that requires the use of sofisticated programing languajes and state-of-the-art computing facilities. Three different Monte Carlo codes are used in the group: Monte Carlo code for Neutron and Photon transport MCNP, PENetration and Energy LOss of Positrons and Electrons PENELOPE, and GEometry ANd Tracking GEANT4.


Some publications on the field
Design and characterization of a new high-dose-rate brachytherapy Valencia applicator for larger skin lesions
C. Candela-Juan, Y. Niatsetski, R. van der Laarse, D. Granero, F. Ballester, J. Perez-Calatayud and J. Vijande
Med. Phys. 43, 1639 (2016)
doi.org/10.1118/1.4943381

A generic high-dose rate 192Ir brachytherapy source for evaluation of model-based dose calculations beyond the TG-43 formalism
F. Ballester, Å. Carlsson Tedgren, D. Granero, A. Haworth, F. Mourtada, G. Paiva Fonseca, K. Zourari, P. Papagiannis, M. J. Rivard, F.-A. Siebert, R. S. Sloboda, R. L. Smith, R. M. Thomson, F. Verhaegen, J. Vijande, Y. Ma and L. Beaulieu
Med. Phys. 42, 3048 (2015)
doi.org/10.1118/1.4921020