PoS - Proceedings of Science
Volume 395 - 37th International Cosmic Ray Conference (ICRC2021) - CRD - Cosmic Ray Direct
The Plastic Scintillator Detector of the HERD space mission
D. Kyratzis*, F. Alemanno, C. Altomare, P. Bernardini, P. Cattaneo, I. De Mitri, F. de Palma, L. Di Venere, M. Di Santo, P. Fusco, F. Gargano, F. Loparco, S. Loporchio, G. Marsella, M.N. Mazziotta, F. Romana Pantaleo, A. Parenti, R. Pillera, A. Rappoldi, G. Raselli, M. Rossella, D. Serini, L. Silveri, A. Surdo, L. Wu and F. Barbatoet al. (click to show)
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Pre-published on: July 08, 2021
Published on: March 18, 2022
The High Energy cosmic–Radiation (HERD) detector is one of the prominent space-borne instruments to be installed on-board the Chinese Space Station (CSS), around 2027. Primary scientific goals regarding this initiative include: precise measurements of cosmic ray (CR) energy spectra and mass composition, at energies up to the PeV range; contributions to high energy gamma–ray astronomy and transient studies; as well as indirect searches for Dark Matter (DM) particles via their possible annihilation/decay to detectable products. HERD is configured to accept incident particles from both its top and four lateral sides. Owing to its pioneering design, an order of magnitude increase in acceptance is foreseen, with respect to previous and ongoing experiments.

The Plastic Scintillator Detector (PSD) constitutes an important sub-detector of HERD, particularly aimed towards anti–coincidence (discriminating incident photons from charged particles), while providing precise charge measurement of incoming cosmic–ray nuclei in a range of Z = 1 – 26. Main requirements concerning its design, include: high detection efficiency, broad dynamic range and good energy resolution. In order to select the optimal layout, two geometries are currently under investigation: one based on long scintillator bars and the other on square tiles, with both layouts being readout by Silicon Photomultipliers (SiPMs). Ongoing activities and future plans regarding the HERD PSD will be presented in this work.
DOI: https://doi.org/10.22323/1.395.0054
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