Scholay

学术搜索 · AI 审稿 · LaTeX 协作

The Nuses Space Mission Readout Architecture Using New FPGA Technology

作者:A. Abba, Roberto Aloisio, V. Arosio, Felicia Barbato, Donato Borrelli, L. Burmistrov, F. Caponio, S. Carsi, V. Conicella, A. Cusimano, I. De Mitri, A. Di Giovanni, U. Di Marcantonio, Shideh Davarpanah, Y. Favre, Ryan L'Abbate, L. Ferrentino, F. Gargano, M. Heller, Nicola Mazziotta, T. Montaruli, Riccardo Nicolaidis, F. Nozzoli, L. Pastori, Lorenzo Perillo, Pierpaolo Savina, C. Trimarelli · 年份:2025 · DOI:10.1109/nss/mic/rtsd57106.2025.11286389 · 研究领域:Radiation Effects in Electronics、Particle Detector Development and Performance、Photocathodes and Microchannel Plates

The NUSES space mission is built around two complementary scientific payloads: Ziré and Terzina. Ziré is dedicated to the observation of low-energy cosmic rays and gamma rays, the monitoring of Sun-Earth interactions, and the investigation of space weather and geophysical coupling phenomena (Magnetosphere-Ionosphere-Lithosphere). It includes a dedicated Low Energy Module (LEM) that extends its sensitivity down to the MeV energy range for charged particles. Terzina, on the other hand, is a pathfinder for orbit-based detection of atmospheric Cherenkov light, with the goal of exploring ultra-high-energy cosmic rays (UHECRs) and advancing neutrino astronomy from space. Both payloads rely on a modular and scalable readout architecture that leverages Commercial Off-The-Shelf (COTS) components, including custom DAQ boards and concentrator units managing over 1800 Silicon Photomultiplier (SiPM) channels. The system integrates Citiroc ASICs, low-power FPGAs, and Zynq Ultrascale+ SoCs, enabling real-time event classification via onboard neural network inference. This architecture combines high density, low power, and resilience, offering a scalable solution for advanced future space missions.