Backtracking radio signals for the $X_\rm {max}$ measurement of extensive air showers: A new approach

Precise measurements of the composition of cosmic rays in the energy range of $\rm 10^{17} - 10^{18}\,eV$ could provide crucial insights into the long-standing questions about the origin and acceleration of these particles. Ground-based experiments typically rely on determining the position of the extensive air shower maximum ($X_\mathrm{max}$) to identify the type of cosmic ray particle. One effective method for determining $X_\mathrm{max}$ is by analyzing the radio emission produced by these air showers. This approach offers several advantages, including continuous operation and a higher duty cycle compared to fluorescence telescopes, which are limited by weather conditions and lunar phases. However, conventional radio-based methods often involve computationally intensive Monte Carlo simulations, or rely on pre-calculated parameterizations derived from simulations. In this contribution, we present a new method which is highly efficient and has the potential to reconstruct $X_\mathrm{max}$ with very minimal input from simulations. This method reconstructs the radio emission profile of air showers by backtracking the radio signals recorded by a ground-based antenna array, considering that the signal received by each antenna travels perpendicular to the radio wavefront. By analyzing simulated proton and iron showers in the $\rm 10^{17}-10^{18}\,eV$ range, this study reveals a strong correlation between the radio emission profiles in the 20–80 MHz frequency band, and the longitudinal profile of the air shower.

Authors

Publication Details

Published
2025-09-23
DOI
https://doi.org/10.22323/1.501.0192
Primary Topic
Astrophysics and Cosmic Phenomena
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Backtracking radio signals for the $X_\rm {max}$ measurement of extensive air showers: A new approach

T. Huege, O. Schölten, S. Thoudam, M. Desmet et al.
Astrophysics and Cosmic Phenomena
article

Backtracking radio signals for the $X_\rm {max}$ measurement of extensive air showers: A new approach

T. Huege, O. Schölten, S. Thoudam, M. Desmet, A. Corstanje, S. Buitink, V.B. Jhansi, Katharine Mulrey, Jörg Hörandel
article en

Abstract

Precise measurements of the composition of cosmic rays in the energy range of $\rm 10^{17} - 10^{18}\,eV$ could provide crucial insights into the long-standing questions about the origin and acceleration of these particles. Ground-based experiments typically rely on determining the position of the extensive air shower maximum ($X_\mathrm{max}$) to identify the type of cosmic ray particle. One effective method for determining $X_\mathrm{max}$ is by analyzing the radio emission produced by these air showers. This approach offers several advantages, including continuous operation and a higher duty cycle compared to fluorescence telescopes, which are limited by weather conditions and lunar phases. However, conventional radio-based methods often involve computationally intensive Monte Carlo simulations, or rely on pre-calculated parameterizations derived from simulations. In this contribution, we present a new method which is highly efficient and has the potential to reconstruct $X_\mathrm{max}$ with very minimal input from simulations. This method reconstructs the radio emission profile of air showers by backtracking the radio signals recorded by a ground-based antenna array, considering that the signal received by each antenna travels perpendicular to the radio wavefront. By analyzing simulated proton and iron showers in the $\rm 10^{17}-10^{18}\,eV$ range, this study reveals a strong correlation between the radio emission profiles in the 20–80 MHz frequency band, and the longitudinal profile of the air shower.

Openalex Percentile: Top 89%
Astrophysics and Cosmic Phenomena
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Backtracking radio signals for the $X_\rm {max}$ measurement of extensive air showers: A new approach — T. Huege, O. Schölten, et al. · (2025) | TGRS Research Map | TGRS