The Freezeout Hypersurface at LHC from particle spectra: Flavor and Centrality Dependence
Sandeep Chatterjee, Bedangadas Mohanty, Ranbir Singh

TL;DR
This paper analyzes particle spectra from Pb-Pb collisions at the LHC to extract the freezeout hypersurface, demonstrating that a double freezeout model with separate strange and non-strange freezeouts better fits the data, revealing differences in size and temperature.
Contribution
It introduces a double freezeout scheme for analyzing heavy-ion collision data, showing improved fit quality and detailed properties of strange versus non-strange freezeout hypersurfaces.
Findings
Double freezeout model fits data better than single freezeout.
Strange freezeout hypersurface is smaller and hotter.
The size-to-time ratio remains invariant across centralities.
Abstract
We extract the freezeout hypersurface in Pb-Pb collisions at 2760 GeV at the CERN Large Hadron Collider by analysing the data on transverse momentum spectra within a unified model for chemical and kinetic freezeout. The study has been done within two different schemes of freezeout, single freezeout where all the hadrons freezeout together versus double freezeout where those hadrons with non-zero strangeness content have different freezeout parameters compared to the non-strange ones. We demonstrate that the data is better described within the latter scenario. We obtain a strange freezeout hypersurface which is smaller in volume and hotter compared to the non-strange freezeout hypersurface for all centralities with a reduction in around . We observe from the extracted parameters that the ratio of the transverse size to the freezeout proper time…
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