arXiv Open Access 2025

Cross-correlation analysis for cosmic ray flux forecasting

David Pelosi Fernando Barão Bruna Bertucci Emanuele Fiandrini Miguel Orcinha +2 lainnya

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Abstrak

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.

Topik & Kata Kunci

physics.space-ph astro-ph.IM astro-ph.SR

Penulis (7)

David Pelosi

Fernando Barão

Bruna Bertucci

Emanuele Fiandrini

Miguel Orcinha

Alejandro Reina Conde

Nicola Tomassetti

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APA MLA BibTeX

Pelosi, D., Barão, F., Bertucci, B., Fiandrini, E., Orcinha, M., Conde, A.R. et al. (2025). Cross-correlation analysis for cosmic ray flux forecasting. https://arxiv.org/abs/2503.17812

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Informasi Jurnal

Tahun Terbit: 2025
Bahasa: en
Sumber Database: arXiv
Akses: Open Access ✓