Applying Unfolding Methods for Reconstruction of Cosmic Rays Energy Spectrum
https://doi.org/10.1134/S2079562920060123
Abstract
In article the problem of reconstructing the true physical value distribution from measured one (distorted by instrumental effects) is cosidered. This problem is known as deconvolution (unfolding). There are several common ways to solve it: bayesian algorithm, singular value decomposition approach and TUnfold method, based on regularisation. We are discussing terms of use, how to choose optimal parameters for different methods, and comparing the reconstruction quality. The object of analysis was choosen the cosmic rays energetical spectrum simulated by Monte-Carlo method and measured by PAMELA magnetic spectrometer. We focused on the analysis of spectrum reconstruction quality for different algorithm parameters and the comparative analysis of methods results depend on spectrum discretisation features. The main result is the approach to optimal regularisation parameter choice for SVD method and iterations number for bayesian method.
About the Authors
Yu. V. Bogomolov
Yaroslavl Demidov State University
Russian Federation
Russian Federation
Sovetskaya st. 14, Yaroslavl,150003
O. A. Levanova
Yaroslavl Demidov State University
Russian Federation
Russian Federation
Sovetskaya st. 14, Yaroslavl,150003
A. G. Mayorov
National Research Nuclear University MEPhI (Moscow Engineering Physics Institute)
Russian Federation
Russian Federation
Kashirskoye sh. 31, , Moscow, 115409
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Review
For citations:
Bogomolov Yu.V., Levanova O.A., Mayorov A.G. Applying Unfolding Methods for Reconstruction of Cosmic Rays Energy Spectrum. Nuclear Physics and Engineering. 2020;11(6):337-341. (In Russ.) https://doi.org/10.1134/S2079562920060123
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