Synthesis of radio signals from extensive air showers using previously computed microscopic simulations

TL;DR

This paper introduces a fast method to synthesize radio signals from extensive air showers using a limited set of microscopic simulations, significantly reducing computational time for array design and analysis.

Contribution

The authors present a novel technique to generate full radio signal traces at any point around the shower core from a finite set of simulations, enhancing efficiency in EAS radio detection studies.

Findings

Method reduces simulation time by a factor of thousands.

Enables reuse of a single simulation library for multiple analyses.

Applicable to electric field and antenna response in all polarization directions.

Abstract

The detection of extensive air showers (EAS) through their radio signal is becoming one of the most promising techniques for the study of Neutrinos and Cosmic rays at the highest energies. For the design, optimization and characterization of radio arrays, and of their associated reconstruction algorithms, tens of thousands of Monte Carlo simulations are needed. Current available simulation codes can take several days to compute the signals produced by a single shower, making it impossible to produce the required simulations in a reasonable amount of time, in a cost-effective and environmental-conscious way. In this article we present a method to synthesize the expected signals (the full time trace, not just the peak amplitude) at any point around the shower core, given a set of signals simulated in a finite number of antennas strategically located in a pattern that exploits the signature features of the radio wavefront. The method can be applied indistinctly to the electric field or to the antenna response to the electric field, in the three polarization directions. The synthesized signal can be used to evaluate trigger conditions, compute the fluence or reconstruct the shower incoming direction, allowing for the production of one single library of simulations that can be used and re-used for the characterization and optimization of radio arrays and their associated reconstruction methods, for a thousandth part of the otherwise required CPU time.