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Central nucleus-nucleus collisions at relativistic energies with a new method based on Random Matrix Theory

Central nucleus-nucleus collisions at relativistic energies with a new method based on Random Matrix Theory
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摘要 Using the method based on Random Matrix Theory (RMT), the results for the nearest-neighbor distributions obtained from the experimental data on ^12C-C collisions at 4.2 AGeV/c have been discussed and compared with the simulated data on ^12C-C collisions at 4.2 AGeV/c produced with the aid of the Dubna Cascade Model. The results show that the correlation of secondary particles decreases with an increasing number of charged particles Nch. These observed changes in the nearest-neighbor distributions of charged particles could be associated with the centrality variation of the collisions. Using the method based on Random Matrix Theory (RMT), the results for the nearest-neighbor distributions obtained from the experimental data on ^12C-C collisions at 4.2 AGeV/c have been discussed and compared with the simulated data on ^12C-C collisions at 4.2 AGeV/c produced with the aid of the Dubna Cascade Model. The results show that the correlation of secondary particles decreases with an increasing number of charged particles Nch. These observed changes in the nearest-neighbor distributions of charged particles could be associated with the centrality variation of the collisions.
出处 《Chinese Physics C》 SCIE CAS CSCD 2010年第8期1076-1081,共6页 中国物理C(英文版)
关键词 random matrix theory experimental data Dubna cascade model central collisions random matrix theory, experimental data, Dubna cascade model, central collisions
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