Resolution of (heavy) primaries in ultra high energy cosmic rays

Abstract Measurements of ultra-high energy cosmic rays (UHECR) suggest a complex composition with significant contributions from heavy nuclei at the highest energies. We systematically explore how the selection and number of primary nuclei included in the analysis impact the inferred UHECR mass composition. Introducing a distance measure in the space of $$X_\textrm{max}$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:msub> <mml:mi>X</mml:mi> <mml:mtext>max</mml:mtext> </mml:msub> </mml:math> distribution moments, we demonstrate that limiting the analysis to a few primaries can introduce significant biases, particularly as observational data improves. We provide lists of primaries approximately equidistant in the new measure, which guaranty unbiased results at given statistical confidence. Additionally, we explore consistent inclusion of nuclei heavier than iron and up to plutonium, deriving first observational upper bounds on their contributions to UHECR with the Pierre Auger Open Data.

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Publication Details

Journal
The European Physical Journal C
Published
2024-12-19
DOI
https://doi.org/10.1140/epjc/s10052-024-13663-z
Primary Topic
Astrophysics and Cosmic Phenomena
Type
article
Field-Weighted Citation Impact
0.00

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article

Resolution of (heavy) primaries in ultra high energy cosmic rays

Jernej F. Kamenik, Michele Tammaro, Blaž Bortolato
The European Physical Journal C
Astrophysics and Cosmic Phenomena
article

Resolution of (heavy) primaries in ultra high energy cosmic rays

Jernej F. Kamenik, Michele Tammaro, Blaž Bortolato
article en

Abstract

Abstract Measurements of ultra-high energy cosmic rays (UHECR) suggest a complex composition with significant contributions from heavy nuclei at the highest energies. We systematically explore how the selection and number of primary nuclei included in the analysis impact the inferred UHECR mass composition. Introducing a distance measure in the space of $$X_\textrm{max}$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:msub> <mml:mi>X</mml:mi> <mml:mtext>max</mml:mtext> </mml:msub> </mml:math> distribution moments, we demonstrate that limiting the analysis to a few primaries can introduce significant biases, particularly as observational data improves. We provide lists of primaries approximately equidistant in the new measure, which guaranty unbiased results at given statistical confidence. Additionally, we explore consistent inclusion of nuclei heavier than iron and up to plutonium, deriving first observational upper bounds on their contributions to UHECR with the Pierre Auger Open Data.

The European Physical Journal CVol. 84(12)
University of Ljubljana (SI), Jožef Stefan Institute (SI), Istituto Nazionale di Fisica Nucleare, Sezione di Firenze (IT)
Javna Agencija za Raziskovalno Dejavnost RS
Openalex Percentile: Top 93%
Astrophysics and Cosmic Phenomena
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