/SAM

Subensemble acceptance method (SAM)

Primary LanguageMathematica

Subensemble acceptance method

Description

This repository contains material related to a subensemble acceptance method (SAM). The SAM is a procedure to evaluate the effect of exact global conservation laws on cumulants of a random number distribution in a subsystem.

SAM-1.0

The SAM was originally developed to describe cumulants of a conserved quantity measured in a subvolume of a uniform thermal system. The results were first obtained for a case of single conserved charge in

The SAM was extended for the case of multiple conserved charges in

Material

  • A Wolfram Mathematica notebook SAM-MultipleConservedCharges.nb allows one to express an arbitrary cumulant of conserved charges up to sixth order in terms of the grand-canonical susceptibilities and acceptance parameter α. The final expressions are written using the notation commonly employed in QCD literature.

SAM-2.0

SAM-2.0 extends the original method to non-uniform systems and arbitrary subsystems (acceptances), such as that in momentum space. This method is documented in

  • V. Vovchenko, Correcting event-by-event fluctuations in heavy-ion collisions for exact global conservation laws with the generalized subensemble acceptance method, arXiv:2106.13775 [hep-ph]

Material

  • A Wolfram Mathematica notebook SAM2.0-conserved allows one to express cumulants of a conserved quantity measured in the acceptance and constrained by exact global conservation in terms of the unconstrained (''grand-canonical'') cumulants inside and outside the acceptance. Calculations proceed recursively up to arbitrary order.
  • A Wolfram Mathematica notebook SAM2.0-conserved-and-nonconserved allows one to express the joint cumulants of conserved and non-conserved quantities in the acceptance and constrained by exact global conservation in terms of the unconstrained (''grand-canonical'') joint cumulants inside and outside the acceptance. Calculations proceed recursively up to arbitrary order.

Attribution

Publications using either the SAM or SAM-2.0 should include references to the corresponding papers listed above.

Copyright (C) 2020-2021 Volodymyr Vovchenko