Reconstructing non-repeating radio pulses with Information Field Theory

Welling, Christoph; Frank, Philipp; Enßlin, Torsten A.; Nelles, Anna

Preprint

PUBDB-2022-02630

Reconstructing non-repeating radio pulses with Information Field Theory

Welling, C. (Corresponding author)Extern* ; Frank, P. ; Enßlin, T. A. ; Nelles, A.Extern*DESY*

2021

[10.3204/PUBDB-2022-02630]

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Please use a persistent id in citations: doi:10.3204/PUBDB-2022-02630

Report No.: DESY-21-042; arXiv:2102.00258

Abstract: Particle showers in dielectric media produce radio signals which are used for the detection of both ultra-high energy cosmic rays and neutrinos with energies above a few PeV. The amplitude, polarization, and spectrum of these short, broadband radio pulses allow us to draw conclusions about the primary particles that caused them, as well as the mechanics of shower development and radio emission. However, confidently reconstructing the radio signals can pose a challenge, as they are often obscured by background noise. Information Field Theory offers a robust approach to this challenge by using Bayesian inference to calculate the most likely radio signal, given the recorded data. In this paper, we describe the application of Information Field Theory to radio signals from particle showers in both air and ice and demonstrate how accurately pulse parameters can be obtained from noisy data.

Keyword(s): cosmic radiation: UHE ; background: noise ; radio wave ; showers ; polarization ; dielectric ; mechanics ; Bayesian ; ice ; air