Data Unfolding Methods in High Energy Physics
arXiv:1611.01927 · doi:10.1051/epjconf/201713711008
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.
11 pages, Proceedings of "XII Quark Confinement and the Hadron Spectrum", to be published in EPJ Web of Conferences. Revised version with minor improvements
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