Impact of Global Data Assimilation System atmospheric models on astroparticle showers

TL;DR

This paper introduces a methodology to incorporate Global Data Assimilation System atmospheric models into simulations of astroparticle showers, highlighting the impact of atmospheric variability on ground detector background flux.

Contribution

The study develops a novel approach to integrate GDAS atmospheric profiles into astroparticle shower simulations within the ARTI framework, improving accuracy over traditional models.

Findings

Significant differences found between GDAS profiles and standard CORSIKA atmospheres.

Validation shows GDAS-based profiles better match observed atmospheric depths.

Methodology enables more precise modeling of atmospheric effects on astroparticle showers.

Abstract

We present a methodology to simulate the impact of the atmospheric models in the background particle flux on ground detectors using the Global Data Assimilation System. The methodology was within the ARTI simulation framework developed by the Latin American Giant Observatory Collaboration. The ground level secondary flux simulations were performed with a tropical climate at the city of Bucaramanga, Colombia. To validate our methodology, we built monthly profiles over Malarg\"ue between 2006 and 2011, comparing the maximum atmospheric depth, X$_\mathrm{max}$, with those calculated with the Auger atmospheric option in CORSIKA. The results show significant differences between the predefined CORSIKA atmospheres and their corresponding Global Data Assimilation System atmospheric profiles.