Direct Detection of TeV--PeV Cosmic Rays in Space

Project Information

PeVSPACE

Grant agreement ID: 851103

DOI

10.3030/851103

Project closed

EC signature date 7 October 2019

Start date 1 February 2020

End date 30 November 2025

Funded under

• EXCELLENT SCIENCE - European Research Council (ERC)

Total cost

€ 1 499 097,00

EU contribution

€ 1 499 097,00

Coordinated by

UNIVERSITE DE GENEVE
Switzerland

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Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Publications

Peer reviewed articles (8)

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

Author(s): Andrii Tykhonov, Andrii Kotenko, Paul Coppin
Published in: Astroparticle Physics, Issue Volume 146, April 2023, 2023, Page(s) 102795, ISSN 0927-6505
Publisher: Elsevier BV
DOI: 10.1016/j.astropartphys.2022.102795

Energy reconstruction of non-fiducial electron-positron events in the DAMPE experiment using convolutional neural networks

Author(s): Enzo Putti-Garcia, Andrii Tykhonov, Andrii Kotenko, Hugo Boutin, Manbing Li, Paul Coppin, Andrea Serpolla, Jennifer Maria Frieden, Chiara Perrina, Xin Wu
Published in: Journal of Instrumentation, Issue 20, 2025, Page(s) P09033, ISSN 1748-0221
Publisher: Institute of Physics
DOI: 10.1088/1748-0221/20/09/p09033

Measurement of the Cosmic Ray Helium Energy Spectrum from 70 GeV to 80 TeV with the DAMPE Space Mission

Author(s): F. Alemanno, Q. An, P. Azzarello, F. C. T. Barbato, P. Bernardini, X. J. Bi, M. S. Cai, E. Catanzani, J. Chang, D. Y. Chen, J. L. Chen, Z. F. Chen, M. Y. Cui, T. S. Cui, Y. X. Cui, H. T. Dai, A. D’Amone, A. De Benedittis, I. De Mitri, F. de Palma, M. Deliyergiyev, M. Di Santo, T. K. Dong, Z. X. Dong, G. Donvito, D. Droz, J. L. Duan, K. K. Duan, D. D’Urso, R. R.
Published in: Physical Review Letters, Issue 126/20, 2021, ISSN 0031-9007
Publisher: American Physical Society
DOI: 10.1103/physrevlett.126.201102

Measurement of the cosmic p+He energy spectrum from 50 GeV to 0.5 PeV with the DAMPE space mission

Author(s): F. Alemanno, C. Altomare, Q. An, P. Azzarello, F. C. T. Barbato, P. Bernardini, X. J. Bi, I. Cagnoli, M. S. Cai, E. Casilli, E. Catanzani, J. Chang, D. Y. Chen, J. L. Chen, Z. F. Chen, P. Coppin, M. Y. Cui, T. S. Cui, Y. X. Cui, H. T. Dai, A. De Benedittis, I. De Mitri, F. de Palma, M. Deliyergiyev, A. Di Giovanni, M. Di Santo, Q. Ding, T. K. Dong, Z. X. Dong, G. Donvito, D. Droz, J. L. Duan, K. K
Published in: Phys. Rev. D, Issue 109, 2024, Page(s) L121101, ISSN 2470-0029
Publisher: American Physics Society
DOI: 10.48550/arxiv.2304.00137

A neural network classifier for electron identification on the DAMPE experiment

Author(s): D. Droz, A. Tykhonov, X. Wu, F. Alemanno, G. Ambrosi, E. Catanzani, M.D. Santo, D. Kyratzis, S. Zimmer
Published in: Journal of Instrumentation, Issue 16/07, 2021, Page(s) P07036, ISSN 1748-0221
Publisher: Institute of Physics
DOI: 10.1088/1748-0221/16/07/p07036

Machine learning-based method of calorimeter saturation correction for helium flux analysis with DAMPE experiment

Author(s): Mikhail Stolpovskiy, Xin Wu, Andrii Tykhonov, Maksym Deliyergiyev, Chiara Perrina, Maria Munoz, David Droz, Arshia Ruina, Enrico Catanzani
Published in: Journal of Instrumentation, Issue 17/06, 2022, Page(s) P07036, ISSN 1748-0221
Publisher: Institute of Physics
DOI: 10.1088/1748-0221/17/06/p06031

Precision cross-sections for advancing cosmic-ray physics and other applications: A comprehensive programme for the next decade

Author(s): D. Maurin, L. Audouin, E. Berti, P. Coppin, M. Di Mauro, P. von Doetinchem, F. Donato, C. Evoli, Y. Génolini, P. Ghosh, I. Leya, M.J. Losekamm, S. Mariani, J.W. Norbury, L. Orusa, M. Paniccia, T. Poe
Published in: Physics Reports, Issue 1161, 2025, Page(s) 1-81, ISSN 0370-1573
Publisher: Elsevier BV
DOI: 10.1016/j.physrep.2025.11.002

Detection of spectral hardenings in cosmic-ray boron-to-carbon and boron-to-oxygen flux ratios with DAMPE

Author(s): F. Alemanno, Q. An, P. Azzarello, F. C. T. Barbato, P. Bernardini, X. J. Bi, M. S. Cai, E. Catanzani, J. Chang, D. Y. Chen, J. L. Chen, Z. F. Chen, M. Y. Cui, T. S. Cui, Y. X. Cui, H. T. Dai, A. D’Amone, A. De Benedittis, I. De Mitri, F. de Palma, M. Deliyergiyev, M. Di Santo, T. K. Dong, Z. X. Dong, G. Donvito, D. Droz, J. L. Duan, K. K. Duan, D. D’Urso, R. R.
Published in: Science Bulletin, Issue 67, 2022, Page(s) 2162-2166, ISSN 2095-9273
Publisher: Elsevier
DOI: 10.48550/arxiv.2210.08833