Uncertainties in the Estimation of Air Shower Observables from Monte Carlo Simulation of Radio Emission
Carlo S. Cruz Sanchez, Patricia M. Hansen, Matias Tueros, Jaime Alvarez-Muñiz, Diego G. Melo
TL;DR
The paper systematically compares two leading Monte Carlo codes, CoREAS and ZHAireS, for radio emission from extensive air showers by using identical primaries, geometries, magnetic fields, and a consistent Gladstone-Dale refractive-index model. It evaluates electric-field observables, energy radiated in the radio band, and the reconstruction of the depth of shower maximum, employing a strategy to minimize shower-to-shower fluctuations. The results show strong agreement between the codes across most observables, with typical electric-field differences around a few percent, radiation-energy differences at the few-percent level, and $X_{ m max}$ reconstruction differences of about $~{ m 10}$ g cm$^{-2}$. Differences at higher frequencies and near the Cherenkov ring become larger due to coherence loss and code-specific thinning; overall, the study validates the reliability of radio-based EAS analyses while highlighting areas for further investigation. The authors advocate cross-validation with both CoREAS and ZHAireS in data analyses to ensure robust inference of primary energy and mass composition.
Abstract
The detection of extensive air showers (EAS) induced by cosmic rays via radio signals has undergone significant advancements in the last two decades. Numerous ultra-high energy cosmic ray experiments routinely capture radio pulses in the MHz to GHz frequency range emitted by EAS. The Monte Carlo simulation of these radio pulses is crucial to enable an accurate reconstruction of the primary cosmic ray energy and to infer the composition of the primary particles. In this work, a comprehensive comparison of the predicted electric field in EAS simulated with CoREAS and ZHAireS was conducted to estimate the systematic uncertainties arising from the use of different simulation packages in the determination of two key shower observables namely, the electromagnetic energy of the EAS and the depth of maximum development ($X_{\rm max}$). For this comparison, input parameters and settings as similar as possible were used in both simulations, along with the same realistic atmospheric refractive index depending on altitude, which is crucial for the prediction of radio emission properties of EAS. In addition, simulated EAS with very similar values of depth of maximum development were selected. Good agreement was found between CoREAS and ZHAireS, with discrepancies in the dominant electric field components generally remaining below 10\% across the frequency range of a few MHz to hundreds of MHz, relevant for most radio detection experiments, translating into uncertainties in the determination of energy below $5\%$ and $\simeq 10\,\mathrm{g/cm^2}$ in $X_{\rm max}$. Our work underscores the need for further studies to clarify their origin and impact on $X_{\rm max}$ inference in composition analyses.
