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PreprintarXiv licencearXiv

Corrected detector-level reconstruction of inclined radio air showers from trigger-level ADC waveforms

Abstract

Autonomous radio arrays record air-shower radio pulses as trigger-selected analogue-to-digital converter (ADC) voltage traces. We reconstruct the primary arrival direction and energy while accounting for noise, direction-dependent detector responses and atmospheric refraction in inclined showers. Waveform cross-correlation corrects relative trigger times; plane- and spherical-wavefront fits estimate the initial direction and effective emission point. A modified voltage-domain angular-distribution fit uses source-end tangents of refracted rays to refine the direction and distinguish the particle core from the radio-footprint centre, reducing the median opening-angle error by approximately 50% relative to straight source-to-station viewing angles. Antenna and radio-frequency-chain inversion recovers the electric field, and early-late corrections give its lateral peak-amplitude distribution. An event-to-reference peak-amplitude correction is calibrated on 2,500 simulated electric-field showers to account for 50-200 MHz coherence loss; a semi-analytic Fresnel parameterisation examines its finite-source interpretation. Proton and iron reference lateral-distribution fits give two energy estimates, averaged with fixed equal weights. Validation uses 6,000 independent showers. In the field-level test with simulation-input geometry, either correction reduces the relative energy root-mean-square error (RMSE) from 11.90% to 8.31%. Across three waveform treatments, 3,073 common detector-level events yield mean relative energy residuals of -2.30% to -1.86%, standard deviations of 8.46%-8.96%, and median opening-angle errors of 0.0315-0.0349 degrees. The method is intended for sparse radio arrays detecting highly inclined showers, such as the Giant Radio Array for Neutrino Detection (GRAND).

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BibTeX
@misc{xu2026corrected,
  title = {{Corrected detector-level reconstruction of inclined radio air showers from trigger-level ADC waveforms}},
  author = {Xin Xu and Pengfei Zhang and Xiaoyang Gong and Yichen Xie and Fufu Yang and Xiaosong Liu and Chao Zhang},
  howpublished = {arXiv},
  year = {2026},
  month = oct,
  doi = {10.48550/arxiv.2607.10637},
  eprint = {2607.10637},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2607.10637},
}
RIS
TY  - UNPB
TI  - Corrected detector-level reconstruction of inclined radio air showers from trigger-level ADC waveforms
AU  - Xin Xu
AU  - Pengfei Zhang
AU  - Xiaoyang Gong
AU  - Yichen Xie
AU  - Fufu Yang
AU  - Xiaosong Liu
AU  - Chao Zhang
PY  - 2026
DA  - 2026/10/29
PB  - arXiv
DO  - 10.48550/arxiv.2607.10637
UR  - https://arxiv.org/abs/2607.10637
AB  - Autonomous radio arrays record air-shower radio pulses as trigger-selected analogue-to-digital converter (ADC) voltage traces. We reconstruct the primary arrival direction and energy while accounting for noise, direction-dependent detector responses and atmospheric refraction in inclined showers. Waveform cross-correlation corrects relative trigger times; plane- and spherical-wavefront fits estimate the initial direction and effective emission point. A modified voltage-domain angular-distribution fit uses source-end tangents of refracted rays to refine the direction and distinguish the particle core from the radio-footprint centre, reducing the median opening-angle error by approximately 50% relative to straight source-to-station viewing angles. Antenna and radio-frequency-chain inversion recovers the electric field, and early-late corrections give its lateral peak-amplitude distribution. An event-to-reference peak-amplitude correction is calibrated on 2,500 simulated electric-field showers to account for 50-200 MHz coherence loss; a semi-analytic Fresnel parameterisation examines its finite-source interpretation. Proton and iron reference lateral-distribution fits give two energy estimates, averaged with fixed equal weights. Validation uses 6,000 independent showers. In the field-level test with simulation-input geometry, either correction reduces the relative energy root-mean-square error (RMSE) from 11.90% to 8.31%. Across three waveform treatments, 3,073 common detector-level events yield mean relative energy residuals of -2.30% to -1.86%, standard deviations of 8.46%-8.96%, and median opening-angle errors of 0.0315-0.0349 degrees. The method is intended for sparse radio arrays detecting highly inclined showers, such as the Giant Radio Array for Neutrino Detection (GRAND).
ER  -