Techniques for Data Analysis and Primary Mass Reconstruction in the ENDA Experiment
As a part of the high-altitude LHAASO project, ENDA (Electron Neutron Detector Array) is being created in China. The ENDA concept consists in simultaneous registration of the electromagnetic and thermal neutron components (being a part of hadronic component) of the EAS. The article provides a brief...
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| Veröffentlicht in: | Physics of atomic nuclei 2023-12, Vol.86 (6), p.1063-1068 |
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| container_end_page | 1068 |
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| container_title | Physics of atomic nuclei |
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| creator | Kurinov, K. O. Kuleshov, D. A. Stenkin, Yu. V. Shchegolev, O. B. |
| description | As a part of the high-altitude LHAASO project, ENDA (Electron Neutron Detector Array) is being created in China. The ENDA concept consists in simultaneous registration of the electromagnetic and thermal neutron components (being a part of hadronic component) of the EAS. The article provides a brief overview of analytical and ML (Machine Learning) methods for shower and primary particle parameters’ reconstruction for simulation of the data. Also, methods for estimation the uncertainty of such reconstruction are presented. |
| doi_str_mv | 10.1134/S1063778824010277 |
| format | Article |
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| ispartof | Physics of atomic nuclei, 2023-12, Vol.86 (6), p.1063-1068 |
| issn | 1063-7788 1562-692X |
| language | eng |
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| source | Springer Nature - Complete Springer Journals |
| subjects | Data analysis Electromagnetism Electronic components industry ELEMENTARY PARTICLES AND FIELDS/Experiment High altitude Machine learning Methods Neutron counters Particle and Nuclear Physics Physics Physics and Astronomy Reconstruction Thermal neutrons |
| title | Techniques for Data Analysis and Primary Mass Reconstruction in the ENDA Experiment |
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