001     478566
005     20230214113753.0
024 7 _ |a Welling:2021cgl
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024 7 _ |a inspire:1844300
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024 7 _ |a 1475-7508
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024 7 _ |a 1475-7516
|2 ISSN
024 7 _ |a arXiv:2102.00258
|2 arXiv
024 7 _ |a 10.3204/PUBDB-2022-02630
|2 datacite_doi
037 _ _ |a PUBDB-2022-02630
041 _ _ |a English
082 _ _ |a 530
088 _ _ |a arXiv:2102.00258
|2 arXiv
088 _ _ |a DESY-21-042
|2 DESY
100 1 _ |a Welling, Christoph
|0 P:(DE-H253)PIP1085464
|b 0
|e Corresponding author
245 _ _ |a Reconstructing non-repeating radio pulses with Information Field Theory
260 _ _ |c 2021
336 7 _ |a Preprint
|b preprint
|m preprint
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|s 1653292846_5001
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336 7 _ |a WORKING_PAPER
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336 7 _ |a Electronic Article
|0 28
|2 EndNote
336 7 _ |a preprint
|2 DRIVER
336 7 _ |a ARTICLE
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336 7 _ |a Output Types/Working Paper
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520 _ _ |a 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.
536 _ _ |a 613 - Matter and Radiation from the Universe (POF4-613)
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588 _ _ |a Dataset connected to CrossRef, INSPIRE, Journals: bib-pubdb1.desy.de
650 _ 7 |a cosmic radiation: UHE
|2 INSPIRE
650 _ 7 |a background: noise
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650 _ 7 |a radio wave
|2 INSPIRE
650 _ 7 |a showers
|2 INSPIRE
650 _ 7 |a polarization
|2 INSPIRE
650 _ 7 |a dielectric
|2 INSPIRE
650 _ 7 |a mechanics
|2 INSPIRE
650 _ 7 |a Bayesian
|2 INSPIRE
650 _ 7 |a ice
|2 INSPIRE
650 _ 7 |a air
|2 INSPIRE
693 _ _ |0 EXP:(DE-MLZ)NOSPEC-20140101
|5 EXP:(DE-MLZ)NOSPEC-20140101
|e No specific instrument
|x 0
700 1 _ |a Frank, Philipp
|0 P.Frank.2
|b 1
700 1 _ |a Enßlin, Torsten A.
|0 T.A.Ensslin.2
|b 2
700 1 _ |a Nelles, Anna
|0 P:(DE-H253)PIP1083021
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856 4 _ |y OpenAccess
|u https://bib-pubdb1.desy.de/record/478566/files/2102.00258v2.pdf
856 4 _ |y OpenAccess
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909 C O |o oai:bib-pubdb1.desy.de:478566
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910 1 _ |a External Institute
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910 1 _ |a Deutsches Elektronen-Synchrotron
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910 1 _ |a External Institute
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913 1 _ |a DE-HGF
|b Forschungsbereich Materie
|l Matter and the Universe
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915 _ _ |a OpenAccess
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915 _ _ |a Published
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920 1 _ |0 I:(DE-H253)ZEU-ICE-20160806
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980 _ _ |a preprint
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980 _ _ |a UNRESTRICTED
980 _ _ |a I:(DE-H253)Z-RAD-20210408
980 _ _ |a I:(DE-H253)ZEU-ICE-20160806
980 1 _ |a FullTexts


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