Monte Carlo simulation of X-ray imaging and spectroscopy experiments using quadric geometry and variance reduction techniques

Published: 01-03-2014| Version 1 | DOI: 10.17632/xmnm5xmpbx.1
Bruno Golosio,
Tom Schoonjans,
Antonio Brunetti,
Piernicola Oliva,
Giovanni Luca Masala


This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2018) Abstract The simulation of X-ray imaging experiments is often performed using deterministic codes, which can be relatively fast and easy to use. However, such codes are generally not suitable for the simulation of even slightly more complex experimental conditions, involving, for instance, first-order or higher-order scattering, X-ray fluorescence emissions, or more complex geometries, particularly for experiments that combine spatial resolution with spectral information. In such cases, simulations ar... Title of program: XRMC Catalogue Id: AERO_v1_0 Nature of problem Simulation of a wide range of X-ray imaging and spectroscopy experiments using different types of sources and detectors. Versions of this program held in the CPC repository in Mendeley Data AERO_v1_0; XRMC; 10.1016/j.cpc.2013.10.034