Machine-learning correction for the calorimeter saturation of cosmic-ray ions with the Dark Matter Particle Explorer: Towards the PeV scale
Publication date2026-01
Affiliation entities
Research groups
Funding
- European Research Council
- Staatssekretariat für Bildung, Forschung und Innovation
- Horizon 2020 Framework Programme
- Swiss National Science Foundation - Astroparticle Physics in Space: DAMPE and HERD Missions [204253]
Citation (ISO format)
SERPOLLA, Andrea et al. Machine-learning correction for the calorimeter saturation of cosmic-ray ions with the Dark Matter Particle Explorer: Towards the PeV scale. In: Nuclear instruments & methods in physics research. Section A, Accelerators, spectrometers, detectors and associated equipment, 2026, vol. 1085, p. 171306. doi: 10.1016/j.nima.2026.171306
Main files (1)
Article (Published version)
Identifiers
- PID : unige:191081
- DOI : 10.1016/j.nima.2026.171306
Additional URL for this publicationhttps://linkinghub.elsevier.com/retrieve/pii/S016890022600032X
Journal ISSN0168-9002
