A deep learning method for the trajectory reconstruction of cosmic rays with the DAMPE mission-Reference-Cited by-同舟云学术

A deep learning method for the trajectory reconstruction of cosmic rays with the DAMPE mission

Published:2023-04 Issue: Volume:146 Page:102795
ISSN:0927-6505
Container-title:Astroparticle Physics
language:en
Short-container-title:Astroparticle Physics

Author:

Tykhonov Andrii^ORCID,Kotenko Andrii,Coppin Paul,Deliyergiyev Maksym,Droz David,Frieden Jennifer Maria,Perrina Chiara,Putti-Garcia Enzo,Ruina Arshia,Stolpovskiy Mikhail,Wu Xin

Publisher

Elsevier BV

Subject

Astronomy and Astrophysics

Reference83 articles.

1. The dark matter particle explorer mission;Chang;Astropart. Phys.,2017

2. Performance of the DAMPE BGO calorimeter on the ion beam test;Wei;Nucl. Instrum. Methods A,2019

3. The calibration and electron energy reconstruction of the BGO ECAL of the DAMPE detector;Zhang;Nucl. Instrum. Methods A,2016

4. A high dynamic range readout unit for a calorimeter;Zhang;Chin. Phys. C,2012

5. In-flight performance of the DAMPE silicon tracker;Tykhonov;Nucl. Instrum. Methods A,2019

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