Issue |
EPJ Web Conf.
Volume 210, 2019
Ultra High Energy Cosmic Rays 2018 (UHECR 2018)
|
|
---|---|---|
Article Number | 06010 | |
Number of page(s) | 5 | |
Section | Futur Detectors | |
DOI | https://doi.org/10.1051/epjconf/201921006010 | |
Published online | 17 May 2019 |
https://doi.org/10.1051/epjconf/201921006010
Scintillator Surface Detector simulations for AugerPrime
1
Karlsruhe Institute of Technology (KIT)
2
Observatorio Pierre Auger, Av. San Martín Norte 304, 5613 Malargüe, Argentina
* e-mail: david.schmidt@kit.edu
** e-mail: auger_spokespersons@fnal.gov
*** Authors list: http://www.auger.org/archive/authors_2018_10.html
Published online: 17 May 2019
Knowledge of the mass composition of ultra-high-energy cosmic rays is understood to be a salient component in answering the open questions in the field. The AugerPrime upgrade of the Pierre Auger Observatory aims to enhance its surface detector with the hardware necessary to reconstruct primary mass for individual events. This involves placing a scintillation-based detector with an active area of 3.8 m2 on top of each existing water-Cherenkov detector in its surface detector array. Here, we present the methods for simulating this Scintillator Surface Detector. These simulations have and will continue to aid in the interpretation of measurements with AugerPrime as well as the development and improvement of event reconstruction algorithms including primary mass.
© 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 (http://creativecommons.org/licenses/by/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.