Reconstructing the neutrino energy for in-ice radio detectors

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

The European Physical Journal C(2022)

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摘要
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
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