• Corpus ID: 88519615

# Modeling high energy cosmic rays mass composition data via mixtures of multivariate skew-t distributions

@article{Riggi2013ModelingHE,
title={Modeling high energy cosmic rays mass composition data via mixtures of multivariate skew-t distributions},
author={Simone Riggi and Sal T. Ingrassia},
journal={arXiv: High Energy Astrophysical Phenomena},
year={2013}
}
• Published 7 January 2013
• Physics
• arXiv: High Energy Astrophysical Phenomena
We consider multivariate skew-t distributions for modeling composition data of high energy cosmic rays. The model has been validated with simulated data for different primary nuclei and hadronic models focusing on the depth of maximum Xmax and number of muons N{\mu} observables. Further, we consider mixtures of multivariate skew-t distributions for cosmic ray mass composition determination and event-by-event classification. With respect to other approaches in the field, it is based on…
8 Citations

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