Stable laws and cosmic ray physics
Yoann Genolini, Pierre Salati, Pasquale Serpico, Richard Taillet

TL;DR
This paper develops a statistical framework using stable laws to accurately model the probability distribution of cosmic ray fluxes at Earth, accounting for source discreteness and uncertainties, especially for large flux fluctuations.
Contribution
It introduces a novel statistical theory based on stable laws to describe cosmic ray flux distributions, addressing the limitations of Gaussian assumptions in heavy-tailed scenarios.
Findings
Stable laws effectively model large flux fluctuations.
Naive Gaussian fits underestimate high flux probabilities.
Local source knowledge influences low-energy flux predictions.
Abstract
In the new precision era for cosmic ray astrophysics, theoretical predictions cannot content themselves with average trends, but need to correctly take into account intrinsic uncertainties. The space-time discreteness of the cosmic ray sources, together with a substantial ignorance of their precise epochs and locations (with the possible exception of the most recent and close ones) play an important role in this sense. We elaborate a statistical theory to deal with this problem, relating the composite probability P({\Psi}) to obtain a flux {\Psi} at the Earth and the single-source probability p({\psi}) to contribute with a flux {\psi}. The main difficulty arises from the fact that p({\psi}) is a fat tail distribution, characterized by power-law or broken power-law behavior up to very large fluxes for which central limit theorem does not hold, and leading to well-known stable laws as…
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