Eikos: a Bayesian unfolding method for differential cross-section measurements
High Energy Physics - Experiment
2019-08-07 v3 Data Analysis, Statistics and Probability
Abstract
A likelihood-based unfolding method based on Bayes' theorem is presented, with a particular emphasis on the application to differential cross-section measurements in high-energy particle interactions.
Cite
@article{arxiv.1808.01930,
title = {Eikos: a Bayesian unfolding method for differential cross-section measurements},
author = {Riccardo Di Sipio},
journal= {arXiv preprint arXiv:1808.01930},
year = {2019}
}
Comments
25 pages, 16 figures