We introduce Astropáramo: an initiative of science clubs in rural educational institutions in very remote regions of the Santurbán páramo. This initiative uses a mobile laboratory of didactic experiments initially developed by the University of Munich within the project "Climate change: understanding and acting". Taking advantage of the innate charisma for stars in the inhabitants of the mountainous areas of Colombia, we use the teaching of astronomy as a bridge to recognize our planet as the only home and understand the science and importance of climate change. The first version was developed with three educational institutions in the paramo area. The students had synchronous encounters with an instructor via WhatsApp: the only means that the pandemic allowed the connection of students in remote areas of the country. Thanks to this medium, the young people could share their experiences and doubts they encountered in the development of the experiments. Thus, despite the adverse conditions of the pandemic, favorable spaces were generated for debate and the construction of knowledge, demonstrating that science is inclusive, fun, and can be available to everyone.
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.
Atmospheric conditions affect the development of cascades of secondary particles produced by primary cosmic rays. Global Data Assimilation System, implementing atmospheric models based on meteorological measurements and numerical weather predictions, could significantly improve the outcomes of the simulations for extensive air shower.In this work, we present a methodology to simulate the effect of the atmospheric models in secondary particle flux at the Earth's surface. The method was implemented for Bucaramanga-Colombia, using ARTI: a complete computational framework developed by the Latin American Giant Observatory Collaboration to estimate the particle spectra on Water Cherenkov Detectors depending on the geographical coordinates. As preliminary results, we observe differences in the total flux that varies from month to month with respect to the subtropical summer atmospheric profile.
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 Malargüe between 2006 and 2011, comparing the maximum atmospheric depth, X<sub>max</sub>, 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.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.