| Issue |
EPJ Web Conf.
Volume 209, 2019
RICAP18, 7th Roma International Conference on Astroparticle Physics
|
|
|---|---|---|
| Article Number | 01050 | |
| Number of page(s) | 5 | |
| DOI | https://doi.org/10.1051/epjconf/201920901050 | |
| Published online | 13 May 2019 | |
https://doi.org/10.1051/epjconf/201920901050
Montecarlo simulation of the High Energy Particle Detector on board the satellite CSES
1 University of Rome “Tor Vergata”, Department of Physics, Via della Ricerca Scientifica 1 - 00133 Rome (Italy)
a e-mail: luca.carfora@roma2.infn.it
Published online: 13 May 2019
The High-Energy Particle Detector (HEPD) is an instrument devoted to the measurement of cosmic particles from few MeV up to hundreds of MeV. The HEPD will contribute to the China Seismo-Electromagnetic Satellite mission by measuring the precipitation of trapped particles and by studying the solar-terrestrial environment especially during impulsive events like coronal mass ejections and solar energetic particle emissions.
A Monte Carlo software was realized to study the performance of HEPD, such as its particle discrimination capability, the energy threshold for trigger and the maximum energy detectable in full containment.
This contribution reports the main features of the HEPD Monte Carlo simulation and some results of the detector performance based on it. A comparison with beam tests was carried out, showing a good agreement with the simulation.
© The Authors, published by EDP Sciences, 2019
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.