Cross-correlation analysis for cosmic ray flux forecasting

The study presents an effective approach for deriving and utilizing polarity-based cross-correlation functions to forecast Galactic Cosmic Ray (GCR) fluxes based on solar activity proxies. By leveraging a universal correlation framework calibrated with AMS-02 and PAMELA proton flux data under a numerical model, the methodology incorporates Empirical Mode Decomposition (EMD) and a global spline fit. These techniques ensure robust handling of short-term fluctuations and smooth transitions during polarity reversals. The results have significant potential for space weather applications, enabling reliable GCR flux predictions critical for radiation risk assessments and operational planning in space exploration and satellite missions.

Authors

Publication Details

Journal
Springer Link (Chiba Institute of Technology)
Published
2025-03-06
DOI
https://doi.org/10.1051/epjconf/202531913004/pdf
Primary Topic
Solar and Space Plasma Dynamics
Type
article
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article

Cross-correlation analysis for cosmic ray flux forecasting

Nicola Tomassetti, David Pelosi, M. Orcinha, F. Barão et al.
Springer Link (Chiba Institute of Technology)
Solar and Space Plasma Dynamics
article

Cross-correlation analysis for cosmic ray flux forecasting

Nicola Tomassetti, David Pelosi, M. Orcinha, F. Barão, B. Bertucci, A. Reina Conde, Emanuele Fiandrini
article en

Abstract

The study presents an effective approach for deriving and utilizing polarity-based cross-correlation functions to forecast Galactic Cosmic Ray (GCR) fluxes based on solar activity proxies. By leveraging a universal correlation framework calibrated with AMS-02 and PAMELA proton flux data under a numerical model, the methodology incorporates Empirical Mode Decomposition (EMD) and a global spline fit. These techniques ensure robust handling of short-term fluctuations and smooth transitions during polarity reversals. The results have significant potential for space weather applications, enabling reliable GCR flux predictions critical for radiation risk assessments and operational planning in space exploration and satellite missions.

Springer Link (Chiba Institute of Technology)
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Openalex Percentile: Top 25%
Solar and Space Plasma Dynamics
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Cross-correlation analysis for cosmic ray flux forecasting — Nicola Tomassetti, David Pelosi, et al. · Springer Link (Chiba Institute of Technology) (2025) | TGRS Research Map | TGRS