Design and expected performances of the large acceptance calorimeter for the HERD space mission.
-
55 views
-
1 likes
-
0 favorites
- uploaded July 5, 2021
Discussion timeslot (ZOOM-Meeting): 16. July 2021 - 18:00
ZOOM-Meeting URL: https://icrc2021.desy.de/pf_access_abstracts
Corresponding Session: https://icrc2021-venue.desy.de/channel/Presenter-Forum-1-Evening-All-Categories/48
Abstract:
'The High Energy cosmic-Radiation Detection (HERD) is a future space experiment which will be installed on the China’s space station around 2025. The main goal of the experiment is the measurement of cosmic rays up to energies which are not explored by the instruments currently operating in space, in particular proton with energies up to PeV, nuclei up to hundreds of TeV per nucleon and electrons up to tens of TeV. The instrument will consist of silicon charge detectors, anti-coincidence scintillators, scintillating fiber trackers, a transition radiation detector and a deep calorimeter.rnThe latter is a homogeneous 3D segmented calorimeter made by about 7500 LYSO cubic crystals: thanks to this innovative design, it will achieve large acceptance, good energy resolution and excellent electron/proton discrimination. In order to increase both energy calibration capabilities and redundancy of the instrument, the LYSO scintillation light will be read-out by two independent systems: one is made by wave-length shifting fibers coupled with imaged intensified IsCMOS, and the other one consists of photodiodes with different active areas connected to a custom front-end electronics. Both read-out systems are designed to have a large dynamic range and a low power consumption. The design of the calorimeter is validated by several Monte Carlo simulations and beam test results obtained by detector prototypes. In this presentation we describe the anticipated performances of the calorimeter and the current status of the double read-out system, and we discuss recent developments of both the HERD prototype and the flight model design.'
Authors: Lorenzo Pacini | on behalf of the HERD collaboration
Co-Authors: Nicola Mori | Jin-kun Zheng | Lin-wei Lyu | Xing-zhu Cui | Wei-wei Cao | Ming Xu | Yang Yang | Zhi-cheng Tang | Rui-jie Wang | Raffaello D'Alessandro, | Xin Liu | Tian-wei Bao | Valerio Formato | Alessio Tiberio | Yong-lin Bai | Zhi-gang Wang | Jun-jun Qin | Bo Wang | Ran Li | Jia-rui Gao | Oleksandr Starodubtsev | Da-lian Shi | Oscar Adriani | Eugenio Berti | Li Zhang | Valerio Vagelli | Zheng Quan | Sergio Bottai
Collaboration: HERD
Indico-ID: 633
Proceeding URL: https://pos.sissa.it/395/066
Lorenzo Pacini