Observation of the thunderstorm-related ground cosmic ray flux variations by ARGO-YBJ
B. Bartoli, P. Bernardini, X. J. Bi, Z. Cao, S. Catalanotti, S. Z., Chen, T. L. Chen, S. W. Cui, B. Z. Dai, A. D Amone, Danzeng Luobu, I. De, Mitri, B. D Ettorre Piazzoli, T. Di Girolamo, G. Di Sciascio, C. F. Feng,, Zhaoyang Feng, Zhenyong Feng, W. Gao, Q. B. Gou, Y. Q. Guo

TL;DR
This study demonstrates how thunderstorms influence ground cosmic ray flux, revealing electric field effects on secondary particles, with implications for understanding atmospheric particle acceleration during storms.
Contribution
First to explain the variation of cosmic ray flux during thunderstorms through electric field effects on secondary particles, supported by ARGO-YBJ data and Monte Carlo simulations.
Findings
Cosmic ray flux varies with electric field polarity and strength during thunderstorms.
Electric fields in a few hundred meters of atmosphere modify secondary particle energies.
Observed flux variations are explained by electric field acceleration/deceleration of charged particles.
Abstract
A correlation between the secondary cosmic ray flux and the near-earth electric field intensity, measured during thunderstorms, has been found by analyzing the data of the ARGO-YBJ experiment, a full coverage air shower array located at the Yangbajing Cosmic Ray Laboratory (4300 m a. s. l., Tibet, China). The counting rates of showers with different particle multiplicities, have been found to be strongly dependent upon the intensity and polarity of the electric field measured during the course of 15 thunderstorms. In negative electric fields (i.e. accelerating negative charges downwards), the counting rates increase with increasing electric field strength. In positive fields, the rates decrease with field intensity until a certain value of the field EFmin (whose value depends on the event multiplicity), above which the rates begin increasing. By using Monte Carlo simulations, we found…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
