Open AccessApplication of ASAS method to PAMELA calorimeter
Author(s) -
Anastasiya Fedosimova,
I.A. Lebedev,
A. G. Mayorov,
Elena Dmitriyeva,
Ekaterina Bondar,
P. M. Krassovitskiy,
K. Olimov,
I I Absalyamova,
D O Murzalinov
Publication year - 2022
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2155/1/012001
Subject(s) - calorimeter (particle physics) , cosmic ray , transient (computer programming) , energy (signal processing) , physics , cascade , cosmic cancer database , signal (programming language) , astrophysics , computational physics , nuclear physics , statistical physics , computer science , optics , detector , chemistry , chromatography , quantum mechanics , programming language , operating system
In this paper, we propose a method that makes it possible to to improve energy reconstruction for data obtained via thin heterogeneous calorimeters for direct measurements of cosmic rays with energies of TeV and higher. Despite the large number of modern experimental complexes, the primary energy of cosmic nuclei with energies above 1 TeV is determined with large errors associated with fluctuations in the development of the cascade. For heterogeneous calorimeters, transient effects give an additional negative effect. In this paper we analyze the main causes of fluctuations and discuss a method for reducing the effect of fluctuations on the results of primary energy reconstruction. The method of accumulation of signal along the spectrum (ASAS) is used to reduce fluctuations associated with transient effects. The method was tested using the heterogeneous calorimeter of the PAMELA collaboration. It is shown that the proposed approach makes it possible to correctly determine the energy of slowly developing showers, the maxima of which are not measured.