Reconstructing non-repeating radio pulses with information field theory

Welling C, Frank P, Enßlin T, Nelles A (2021)

Publication Type: Journal article

Publication year: 2021

Journal

Journal of Cosmology and Astroparticle Physics Institute of Physics: Hybrid Open Access

Book Volume: 2021

Article Number: 071

Journal Issue: 4

DOI: 10.1088/1475-7516/2021/04/071

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.

Authors with CRIS profile

Anna Nelles Professur für Experimentelle Astroteilchenphysik, insbesondere Radionachweis von Neutrinos

Involved external institutions

Max-Planck-Institut für Astrophysik / Max Planck Institute for Astrophysics DE Germany (DE) Deutsches Elektronen-Synchrotron DESY DE Germany (DE)

How to cite

APA:

Welling, C., Frank, P., Enßlin, T., & Nelles, A. (2021). Reconstructing non-repeating radio pulses with information field theory. Journal of Cosmology and Astroparticle Physics, 2021(4). https://dx.doi.org/10.1088/1475-7516/2021/04/071

MLA:

Welling, C., et al. "Reconstructing non-repeating radio pulses with information field theory." Journal of Cosmology and Astroparticle Physics 2021.4 (2021).

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