Fast Training Data Generation for Machine Learning Analysis of Cosmic Ray Showers

Fast Training Data Generation for Machine Learning Analysis of Cosmic Ray Showers

Applying Machine Learning (ML) methods for the analysis of muon lateral distributions in Extensive Air Showers detected by citizen science projects, while taking into account the spatial distribution of detectors requires enormous training data sets. Therefore, generating these data sets with typica...

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Bibliographic Details
Main Authors: Tomasz Hachaj, Lukasz Bibrzycki, Marcin Piekarczyk
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Cosmic ray shower
simulation
data generation
detectors
machine learning
Online Access:https://ieeexplore.ieee.org/document/10019257/

Internet

https://ieeexplore.ieee.org/document/10019257/

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