Wavelet Analysis of Shower Track Distribution in High-Energy Nucleus-Nucleus Collisions | Zendy

Provash Mali | Zendy; S. Sarkar | Zendy; A. Mukhopadhyay | Zendy; G. Singh | Zendy

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Wavelet Analysis of Shower Track Distribution in High-Energy Nucleus-Nucleus Collisions

Author(s) -

Provash Mali,

S. Sarkar,

A. Mukhopadhyay,

G. Singh

Publication year - 2013

Publication title -

advances in high energy physics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.59

H-Index - 49

eISSN - 1687-7365

pISSN - 1687-7357

DOI - 10.1155/2013/759176

Subject(s) - physics , wavelet , nucleus , cluster (spacecraft) , event (particle physics) , statistical physics , nuclear physics , maxima , distribution (mathematics) , charge (physics) , particle physics , astrophysics , artificial intelligence , art , mathematical analysis , mathematics , performance art , computer science , art history , biology , programming language , microbiology and biotechnology

A continuous wavelet analysis is performed for pattern recognition of charged particle emission data in 28Si-Ag/Br interaction at 14.5A GeV and in 32S-Ag/Br interaction at 200A GeV. Making use of the event-wise local maxima present in the scalograms, we try to identify the collective behavior in multiparticle production, if there is any. For the first time, the wavelet results are compared with a model prediction based on the ultrarelativistic quantum molecular dynamics (UrQMD), where we adopt a charge reassignment algorithm to modify the UrQMD events to mimic the Bose-Einstein type of correlation among identical mesons—a feature known to be the most dominating factor responsible for local cluster formation. Statistically significant deviations between the experiment and the simulation are interpreted in terms of nontrivial dynamics of multiparticle production

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