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HK: Fachverband Physik der Hadronen und Kerne
HK 72: Poster
HK 72.16: Poster
Donnerstag, 14. März 2024, 17:15–18:45, HBR 14: Foyer
Onboard Particle Trigger and Data Compression for the AFIS Satellite Mission — •Peter Hinderberger1, Liesa Eckert1, Martin J. Losekamm1, Luise Meyer-Hetling1, Stephan Paul1, Thomas Pöschl2, and Sebastian Rückerl3 — 1School of Natural Sciences, Technical University of Munich, Garching, Germany — 2CERN, Geneva, Switzerland — 3School of Engineering and Design, Technical University of Munich, Ottobrunn, Germany
The Earth's magnetic field traps charged particles in the Van Allen radiation belts. To measure their antiproton flux at energies between 25 and 100+ MeV, we currently develop AFIS (Antiproton Flux in Space) using scintillating plastic fibers and silicon photomultipliers (SiPMs). The compact satellite platform that we intend to employ poses restrictions with respect to power, volume, and transmission bandwidth. In addition, a low signal-to-background ratio and the expected high event rates make data processing challenging. We are developing a hardware and software framework based on a pure field-programmable gate array (FPGA) that can acquire sensor data efficiently and implements a multi-stage particle trigger, exploiting the FPGA's advantages in low-power parallel computation. A compression stage in addition reduces the amount of data that needs to be transmitted to ground significantly. We present the current state of development, compression approaches, and future plans of this framework. Our work is funded by the German Research Foundation (DFG, project number 414049180) and under Germany's Excellence Strategy - EXC2094 - 390783311.
Keywords: FPGA; Antiprotons; Processing; Trigger; Compression