Journal Article PUBDB-2021-02196

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Reconstructing non-repeating radio pulses with Information Field Theory

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2021
IOP London

Journal of cosmology and astroparticle physics 04(04), 071 () [10.1088/1475-7516/2021/04/071]
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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

Classification:

Contributing Institute(s):
  1. RADIO (Z-RAD)
  2. Neutrinoteleskop (ZEU-ICE)
Research Program(s):
  1. 613 - Matter and Radiation from the Universe (POF4-613) (POF4-613)
Experiment(s):
  1. No specific instrument

Appears in the scientific report 2021
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Embargoed OpenAccess ; Clarivate Analytics Master Journal List ; Current Contents - Physical, Chemical and Earth Sciences ; Essential Science Indicators ; IF >= 5 ; JCR ; NationallizenzNationallizenz ; SCOPUS ; Science Citation Index Expanded ; Web of Science Core Collection
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Reconstructing non-repeating radio pulses with Information Field Theory
[10.3204/PUBDB-2022-02630]  GO OpenAccess  Download fulltext Files  Download fulltextFulltext by arXiv.org BibTeX | EndNote: XML, Text | RIS


 Record created 2021-05-10, last modified 2025-07-24


Published on 2021-04-27. Available in OpenAccess from 2022-04-27.:
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