GDAS atmospheric models in astroparticle shower simulations

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dc.contributor.authorGrisales-Casadiegos, J.
dc.contributor.authorSarmiento-Cano, C.
dc.contributor.authorNúñez, Luis A.
dc.contributor.authorLAGO Collaboration
dc.date.accessioned2022-09-29T14:13:01Z
dc.date.available2022-09-29T14:13:01Z
dc.date.issued2021
dc.description.abstractAtmospheric 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.es_ES
dc.identifier.issn1824-8039
dc.identifier.other10.22323/1.395.0487
dc.identifier.urihttps://hdl.handle.net/20.500.12536/1775
dc.language.isoenes_ES
dc.sourceProceedings of Sciencees_ES
dc.titleGDAS atmospheric models in astroparticle shower simulationses_ES
dc.typeArtículo de revistaes_ES
uvm.escuelaEscuela de Cienciases_ES
uvm.indexScopuses_ES
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