Impact of Global Data Assimilation System atmospheric models on astroparticle showers

Abstract

We present a methodology to simulate the impact of the Global Data Assimilation System (GDAS) atmospheric models in particle flux on detectors at the Earth's surface. To validate our methodology, we built GDAS monthly profiles over Malargüe between 2006 and 2011, comparing the maximum atmospheric depth, X max , with those calculated with the Auger atmospheric option in CORSIKA. We found that difference does not exceed 2% for both X max . The methodology was implemented, for the city of Bucaramanga Colombia, using ARTI -a full computational framework developed by the Latin American Giant Observatory Collaboration, to estimate the signals expected at their Water Cherenkov Detectors network-. In our simulations for the year 2018, we observed that the most significant differences in the total flux, between predefined atmospheric profiles and GDAS models, occur in November and April. There also is a clear anticorrelation between the particle flux and the monthly average temperature.

Muography in Colombia: simulation framework, instrumentation and data analysis

“…Muography simulation tools & frameworks estimate the atmospheric muon flux [11,12], muon propagation through the geological target [6,13,14], detector response [15,16,17] and density optimisation [18] by using Monte Carlo codes. Development of muography instruments have been addressed from different perspectives.…”