dc.creatorGrisales-Casadiegos, J.
dc.creatorSarmiento-Cano, C.
dc.creatorNúñez, Luis A.
dc.creatorLAGO Collaboration
dc.date2022-09-29T14:13:01Z
dc.date2022-09-29T14:13:01Z
dc.date2021
dc.date.accessioned2023-08-25T20:03:33Z
dc.date.available2023-08-25T20:03:33Z
dc.identifier1824-8039
dc.identifier10.22323/1.395.0487
dc.identifierhttps://hdl.handle.net/20.500.12536/1775
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/8438318
dc.descriptionAtmospheric 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 showers. 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. We observe differences in the total flux that varies monthly concerning the subtropical summer atmospheric profile as preliminary results.
dc.formatapplication/pdf
dc.languageen
dc.sourceProceedings of Science
dc.titleGDAS atmospheric models in astroparticle shower simulations
dc.typeArtículo de revista


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