Search for Multi-Coincidence Cosmic Ray Events over Large Distances with the EEE MRPC Telescopes
Author:
Abbrescia Marcello, Avanzini Carlo, Baldini Luca, Baldini Ferroli Rinaldo, Batignani Giovanni, Battaglieri Marco, Boi Stefano, Bossini Edoardo, Carnesecchi Francesca, Cicalò Corrado, Cifarelli Luisa, Coccetti Fabrizio, Coccia Eugenio, Corvaglia Alessandro, De Gruttola Daniele, De Pasquale Salvatore, Fabbri Franco, Galante Lorenzo, Garbini Marco, Gemme Gianluca, Gnesi Ivan, Grazzi Stefano, Hatzifotiadou Despina, La Rocca PaolaORCID, Liu Zhang, Mandaglio GiuseppeORCID, Maron Gaetano, Mazziotta Mario NicolaORCID, Mulliri Alice, Nania Rosario, Noferini FrancescoORCID, Nozzoli Francesco, Palmonari FedericoORCID, Panareo MarcoORCID, Panetta Maria Paola, Paoletti Riccardo, Pellegrino Carmelo, Pinazza Ombretta, Pinto ChiaraORCID, Pisano Silvia, Riggi Francesco, Righini GiancarloORCID, Ripoli Cristina, Rizzi Matteo, Sartorelli Gabriella, Scapparone Eugenio, Schioppa Marco, Scribano Angelo, Selvi Marco, Serri Gabriella, Squarcia Sandro, Taiuti Marco, Terreni Giuseppe, Trifirò Antonio, Trimarchi Marina, Vistoli Cristina, Votano Lucia, Williams Crispin, Zichichi Antonino, Zuyeuski Roman
Abstract
The existence of independent, yet time correlated, Extensive Air Showers (EAS) has been discussed over the past years, with emphasis on possible physical mechanisms that could justify their observation. The detector network of the Extreme Energy Events (EEE) Collaboration, with its approximately 60 cosmic ray telescopes deployed over the Italian territory, has the potential to search for such events, employing different analysis strategies. In this paper, we have analyzed a set of EEE data, corresponding to an approximately five month observation period, searching for multi-coincidence events among several far telescopes, within a time window of 1 ms. Events with up to 12 coincident telescopes have been observed. Results were compared to expectations from a random distribution of events and discussed with reference to the relativistic dust grain hypothesis.
Subject
Psychiatry and Mental health
Cited by
1 articles.
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