A cross-validation check in the covariance analysis of isospin sensitive observables from heavy ion collision
Ilona Bednarek, Jacek Syska, Jan S{\l}adkowski

TL;DR
This paper evaluates the consistency of correlation coefficients between nuclear matter parameters and heavy ion collision observables, proposing a method to determine pure correlations for isospin-sensitive variables.
Contribution
It introduces a cross-validation approach for covariance analysis and a method to extract pure correlations in heavy ion collision data.
Findings
Validated correlation consistency across different variable groups
Proposed a new method for pure correlation determination
Enhanced understanding of isospin-sensitive observables
Abstract
This paper focuses on two problems. The first is related to the consistency checks of the complete correlation coefficients between two groups of variables obtained in Phys. Lett. B 749, 262 (2015). The first group collects parameters that describe properties of nuclear matter referring to the transport model involved. The second one is a group of observables adopted in the heavy ion collision experiments. The second problem concerns the method of determining the values of pure correlations between some variables in heavy ion collision. The application of this method for the analysis of the correlations of the isospin sensitive variables is pointed out.
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Taxonomy
TopicsNuclear reactor physics and engineering · Nuclear physics research studies · High-Energy Particle Collisions Research
