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Applications of Low Energy Astroparticle Simulations on HPC and Cloud Infrastructures

  • LAGO Collaboration
  • Instituto Bolseiro
  • University of Rwanda
  • CIEMAT
  • Universidad EAFIT
  • Universidad Industrial de Santander
  • Universidad Carlos III de Madrid
  • Universidad de Pamplona
  • Universidad Autonoma de Chiapas
  • Instituto de Astronomía y Física del Espacio
  • Consejo Nacional de Investigaciones Científicas y Técnicas
  • Escuela Superior Politécnica de Chimborazo
  • Universidad de San Carlos de Guatemala
  • Universidad Mayor de San Andrés
  • Escuela Politecnica Nacional
  • Universidade Estadual de Campinas
  • Optics and Electronics
  • Universidad Nacional de Ingeniería
  • Universidad de Buenos Aires
  • Universidade Federal de Campina Grande
  • Universidad San Francisco de Quito
  • Benemerita Universidad Autonoma de Puebla
  • Universidad de Viña del Mar
  • Instituto Antártico Argentino
  • Universidad de La Serena
  • Universidad Nacional de Tucuman
  • Universidade Federal do ABC
  • University of the Valley of Guatemala
  • Comisión Nacional de Investigación y Desarrollo Aeroespacial
  • European Soutern Observatory (ESO)
  • Universidad de Valparaíso
  • Universidad Michoacana de San Nicolas de Hidalgo

Research output: Contribution to journalConference articlepeer-review

Abstract

The Latin American Giant Observatory (LAGO) is an extensive network of water Cherenkov detectors spread across Latin America, functioning as an astroparticle observatory. With its broad range of altitudes and geomagnetic rigidity cut-offs, the primary focus of LAGO's scientific program is to study space weather, climate phenomena, and high-energy astrophysical transients from ground level. To bolster these programs, the comprehensive simulation framework of ARTI and onedataSim was developed. This framework enables the calculation of the total secondary particle flux and the corresponding signals expected in various types of detectors operating anywhere in the world. It also incorporates the effects of real-time atmospheric and geomagnetic conditions, both secular and disturbed. These tools harness the expanding computational capabilities of highperformance computing facilities and cloud-based computing environments. By integrating these tools and infrastructures, we have managed to extend the total integration times of the background flux and the energy range of atmospheric neutrons. In this contribution, we illustrate how this intricate simulation sequence aids in achieving LAGO's scientific objectives. We also explore other applications, such as estimating the expected dose on board commercial flights, simulating the muon flux for muography studies, determining the distribution of neutrons in nuclear and medical facilities, and estimating the rate of errors produced by atmospheric neutrons in the upcoming generation of exascale supercomputing centers worldwide.

Original languageEnglish
Article number242
JournalProceedings of Science
Volume444
StatePublished - 27 Sep 2024
Event38th International Cosmic Ray Conference, ICRC 2023 - Nagoya, Japan
Duration: 26 Jul 20233 Aug 2023

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being
  2. SDG 13 - Climate Action
    SDG 13 Climate Action

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