Quantifying the unknown: issues in simulation validation and their experimental impact
Computational Physics
2017-08-23 v1
Abstract
The assessment of the reliability of Monte Carlo simulations is discussed, with emphasis on uncertainty quantification and the related impact on experimental results. Methods and techniques to account for epistemic uncertainties, i.e. for intrinsic knowledge gaps in physics modeling, are discussed with the support of applications to concrete experimental scenarios. Ongoing projects regarding the investigation of epistemic uncertainties in the Geant4 simulation toolkit are reported.
Cite
@article{arxiv.1111.2179,
title = {Quantifying the unknown: issues in simulation validation and their experimental impact},
author = {M. G. Pia and M. Batic and G. Hoff and P. Saracco and M. Begalli and M. Han and C. H Kim and H. Seo and S. Hauf and M. Kuster and L. Quintieri and G. Weidenspointner and A. Zoglauer},
journal= {arXiv preprint arXiv:1111.2179},
year = {2017}
}
Comments
To be published in the Proceedings of the 13th ICATPP Conference on Astroparticle, Particle, Space Physics and Detectors for Physics Applications, Villa Olmo, Como, 3-7 October 2011