TILDA-V: A full-differential code for proton tracking in biological matter

Abstract

Monte Carlo track structure codes are commonly used for predicting the radio-induced biological damages at the cellular scale. However most of them are based on semi-empirical cross sections as well as the use of water as surrogate of the biological matter. The aim of this work is to present our home-made Monte Carlo code, called TILDA-V, based on a quantum-mechanical cross section data base able to model all the proton- and secondary electron-induced collisions in both water and DNA.