Implementing the De-thinning Method for High Energy Cosmic Rays Extensive Air Shower Simulations

TL;DR

This paper introduces a de-thinning algorithm to reconstruct detailed cosmic ray air shower simulations from computationally efficient thinned data, aiming to recover original particle fluxes without bias.

Contribution

The paper presents a novel de-thinning method specifically designed for extensive air shower simulations to improve accuracy of particle flux reconstruction.

Findings

Preliminary results show effective flux recovery.

Method reduces artificial biases in simulations.

Applicable to cosmic rays and photons in specified energy range.

Abstract

To simulate the interaction of cosmic rays with the Earth atmosphere requires highly complex computational resources and several statistical techniques have been developed to simplify those calculations. It is common to implement the thinning algorithms to reduce the number of secondary particles by assigning weights to representative particles in the evolution of the cascade. However, since this is a compression method with information loss, it is required to recover the original flux of secondary particles without introduce artificial biases. In this work we present the preliminary results of our version of the de-thinning algorithm for the reconstruction of thinned simulations of extensive air showers initiated by cosmic rays and photons in the energy range $10^{15} < E/\mathrm{eV} < 10^{17}$.