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E. I. Shahaliev

Publications and source records attributed to E. I. Shahaliev.

4 recordsLinked to original sources
arXiv2009

Analysis of nucleus-nucleus collisions at high energies and Random Matrix Theory

We propose a novel statistical approach to the analysis of experimental data obtained in nucleus-nucleus collisions at high energies which borrows from methods developed within the context of Random Matrix Theory. It is applied to the detection of correlations in momentum distributions of emitted particles. We find good agreement between the results obtained in this way and a standard analysis based on the method of effective mass spectra and two-pair correlation function often used in high energy physics. The method introduced here is free from unwanted background contributions.

nucl-ex↗
arXiv2007

Spectral spacing correlations of nucleus-nucleus collisions at high energies

We propose a novel approach to the analysis of experimental data obtained in relativistic nucleus-nucleus collisions which borrows from methods developed within the context of Random Matrix Theory. It is applied to the detection of correlations in momentum distributions of emitted particles. We find good agreement between the results obtained in this way and a standard analysis based on the two-pair correlation function often used in high energy physics. The method introduced here is free from unwanted background contributions.

nucl-ex↗
arXiv2005

Random Matrix Theory and Analysis of Nucleus-Nucleus Collision at High Energies

We propose a novel method for analysis of experimental data obtained at relativistic nucleus-nucleus collisions. The method, based on the ideas of Random Matrix Theory, is applied to detect systematic errors that occur at measurements of momentum distributions of emitted particles. The unfolded momentum distribution is well described by the Gaussian orthogonal ensemble of random matrices, when the uncertainty in the momentum distribution is maximal. The method is free from unwanted background contributions.

hep-ex↗