Data Unfolding Methods in High Energy Physics
Data Analysis, Statistics and Probability
2017-04-05 v2 High Energy Physics - Experiment
Nuclear Experiment
Abstract
A selection of unfolding methods commonly used in High Energy Physics is compared. The methods discussed here are: bin-by-bin correction factors, matrix inversion, template fit, Tikhonov regularisation and two examples of iterative methods. Two procedures to choose the strength of the regularisation are tested, namely the L-curve scan and a scan of global correlation coefficients. The advantages and disadvantages of the unfolding methods and choices of the regularisation strength are discussed using a toy example.
Cite
@article{arxiv.1611.01927,
title = {Data Unfolding Methods in High Energy Physics},
author = {Stefan Schmitt},
journal= {arXiv preprint arXiv:1611.01927},
year = {2017}
}
Comments
11 pages, Proceedings of "XII Quark Confinement and the Hadron Spectrum", to be published in EPJ Web of Conferences. Revised version with minor improvements