Data Unfolding Methods in High Energy Physics
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.
- Publication:
-
European Physical Journal Web of Conferences
- Pub Date:
- March 2017
- DOI:
- 10.1051/epjconf/201713711008
- arXiv:
- arXiv:1611.01927
- Bibcode:
- 2017EPJWC.13711008S
- Keywords:
-
- Physics - Data Analysis;
- Statistics and Probability;
- High Energy Physics - Experiment;
- Nuclear Experiment
- E-Print:
- 11 pages, Proceedings of "XII Quark Confinement and the Hadron Spectrum", to be published in EPJ Web of Conferences. Revised version with minor improvements