Reconstructing the neutrino energy for in-ice radio detectors: A study for the Radio Neutrino Observatory Greenland (RNO-G)

Aguilar JA, Allison P, Beatty JJ, Bernhoff H, Besson D, Bingefors N, Botner O, Bouma S, Buitink S, Carter K, Cataldo M, Clark BA, Curtis-Ginsberg Z, Connolly A, Dasgupta P, de Kockere S, de Vries KD, Deaconu C, DuVernois MA, Glaser C, Hallgren A, Hallmann S, Hanson JC, Hendricks B, Hokanson-Fasig B, Hornhuber C, Hughes K, Karle A, Kelley JL, Klein SR, Krebs R, Lahmann R, Latif U, Meures T, Meyers Z, Mulrey K, Nelles A, Novikov A, Oberla E, Oeyen B, Pandya H, Plaisier I, Pyras LM, Ryckbosch D, Scholten O, Seckel D, Smith D, Southall D, Torres J, Toscano S, Tosi D, Van Den Broeck DJ, van Eijndhoven N, Vieregg AG, Welling C, Wissel S, Young R, Zink A (2022)

Publication Type: Journal article

Publication year: 2022

Journal

Book Volume: 82

Article Number: 147

Journal Issue: 2

DOI: 10.1140/epjc/s10052-022-10034-4

Abstract

Since summer 2021, the Radio Neutrino Observatory in Greenland (RNO-G) is searching for astrophysical neutrinos at energies > 10 PeV by detecting the radio emission from particle showers in the ice around Summit Station, Greenland. We present an extensive simulation study that shows how RNO-G will be able to measure the energy of such particle cascades, which will in turn be used to estimate the energy of the incoming neutrino that caused them. The location of the neutrino interaction is determined using the differences in arrival times between channels and the electric field of the radio signal is reconstructed using a novel approach based on Information Field Theory. Based on these properties, the shower energy can be estimated. We show that this method can achieve an uncertainty of 13% on the logarithm of the shower energy after modest quality cuts and estimate how this can constrain the energy of the neutrino. The method presented in this paper is applicable to all similar radio neutrino detectors, such as the proposed radio array of IceCube-Gen2.

Authors with CRIS profile

Involved external institutions

Vrije Universiteit Brussel (VUB) Belgium (BE) University of Chicago United States (USA) (US) University of Kansas (KU) United States (USA) (US) California Polytechnic State University United States (USA) (US) Michigan State University United States (USA) (US) Uppsala University Sweden (SE) Ohio State University United States (USA) (US) Deutsches Elektronen-Synchrotron DESY Germany (DE) University of Delaware (UDEL) United States (USA) (US) Université libre de Bruxelles (ULB) / Free University of Brussels Belgium (BE) University of Wisconsin - Madison United States (USA) (US) Pennsylvania State University (Penn State) United States (USA) (US) Universiteit Gent (UGent) / Ghent University Belgium (BE) Lawrence Berkeley National Laboratory (LBNL) United States (USA) (US) Whittier College United States (USA) (US)

How to cite

APA:

Aguilar, J.A., Allison, P., Beatty, J.J., Bernhoff, H., Besson, D., Bingefors, N.,... Zink, A. (2022). Reconstructing the neutrino energy for in-ice radio detectors: A study for the Radio Neutrino Observatory Greenland (RNO-G). European Physical Journal C: Particles and Fields, 82(2). https://doi.org/10.1140/epjc/s10052-022-10034-4

MLA:

Aguilar, J. A., et al. "Reconstructing the neutrino energy for in-ice radio detectors: A study for the Radio Neutrino Observatory Greenland (RNO-G)." European Physical Journal C: Particles and Fields 82.2 (2022).

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