English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT

Released

Journal Article

Reconstructing non-repeating radio pulses with Information Field Theory

MPS-Authors
/persons/resource/persons16142

Ensslin,  T.
Computational Structure Formation, MPI for Astrophysics, Max Planck Society;

External Resource
No external resources are shared
Fulltext (public)
There are no public fulltexts stored in PuRe
Supplementary Material (public)
There is no public supplementary material available
Citation

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): 071. doi:10.1088/1475-7516/2021/04/071.


Cite as: http://hdl.handle.net/21.11116/0000-0008-EDF4-A
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.