Simulation and Optimisation for the Radar Echo Telescope for Cosmic Rays

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Abstract

The SLAC T-576 beam test experiment showed the feasibility of the radar detection technique to probe high-energy particle cascades in dense media. Corresponding particle-level simulations indicate that the radar method has very promising sensitivity to probe the >PeV cosmic neutrino flux. As such, it is crucial to demonstrate the in-situ feasibility of the radar echo method, which is the main goal of the current RET-CR experiment. Although the final goal of the Radar Echo Telescope is to detect cosmic neutrinos, we seek a proof of principle using cosmic-ray air showers penetrating the (high-altitude) Antarctic ice sheet. When an UHECR particle cascade propagates into a high-elevation ice sheet, it produces a dense in-ice cascade of charged particles which can reflect incoming radio waves. Using a surface cosmic-ray detector, the energy and direction of the UHECR can be reconstructed, and as such this constitutes a nearly ideal in-situ test beam to provide the proof of principle for the radar echo technique. RET-CR will consist of a transmitter array, receiver antennas and a surface scintillator plate array. Here we present the simulation efforts for RET-CR performed to optimise the surface array layout and triggering system, which affords an estimate of the expected event rate.
Original languageEnglish
Title of host publicationProceedings of 37th International Cosmic Ray Conference - PoS(ICRC2021)
PublisherSissa Medialab srl Partita IVA
Number of pages9
Volume395
DOIs
Publication statusPublished - 18 Mar 2022
Event 37th International Cosmic Ray Conference - Online
Duration: 12 Jul 202123 Jul 2022

Publication series

NameProceedings of Science
PublisherSISSA
ISSN (Print)1824-8039

Conference

Conference 37th International Cosmic Ray Conference
Period12/07/2123/07/22

Bibliographical note

Funding Information:
Funds for Scientific Research (FRS-FNRS). A. Connolly acknowledges support from NSF Award #1806923. S. Wissel was supported by NSF CAREER Awards #1752922 and #2033500. DZB is grateful for support from the U.S. National Science Foundation-EPSCoR (RII Track-2 FEC, award ID 2019597). We express our gratitude to R. Dallier, L. Martin, J-L. Beney and the CODALEMA experiment for providing electronics and hardware to be used in the surface radio stations of RET-CR. Computing resources were provided by the Ohio Supercomputer Center.

Funding Information:
RET-CR is supported by the National Science Foundation under award numbers NSF/PHY- 2012980 and NSF/PHY-2012989. This work is also supported by the Flemish Foundation for Scientific Research FWO-12ZD920N, the European Research Council under the EU-ropean Unions Horizon 2020 research and innovation programme (grant agreement No 805486), and the Belgian Funds for Scientific Research (FRS-FNRS). A. Connolly acknowledges support from NSF Award #1806923. S. Wissel was supported by NSF CAREER Awards #1752922 and #2033500. DZB is grateful for support from the U.S. National Science Foundation-EPSCoR (RII Track-2 FEC, award ID 2019597). We express our gratitude to R. Dallier, L. Martin, J-L. Beney and the CODALEMA experiment for providing electronics and hardware to be used in the surface radio stations of RET-CR. Computing resources were provided by the Ohio Supercomputer Center.

Funding Information:
RET-CR is supported by the National Science Foundation under award numbers NSF/PHY-2012980 and NSF/PHY-2012989. This work is also supported by the Flemish Foundation for Scientific Research FWO-12ZD920N, the European Research Council under the EU-ropean Unions Horizon 2020 research and innovation programme (grant agreement No 805486), and the Belgian

Publisher Copyright:
Copyright © 2021 owned by the author(s) under the terms of the Creative Commons.

Copyright:
Copyright 2022 Elsevier B.V., All rights reserved.

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