Surprisingly large uncertainties in temperature extraction from thermal fits to hadron yield data at LHC
Volodymyr Vovchenko, Horst Stoecker

TL;DR
This study shows that uncertainties in modeling hadron eigenvolumes lead to large variations in the extracted chemical freeze-out temperature from LHC heavy-ion collision data, questioning the precision of such thermal fits.
Contribution
It demonstrates that different assumptions about hadron eigenvolumes cause broad temperature ranges in thermal fits, highlighting the sensitivity of freeze-out temperature extraction to eigenvolume modeling.
Findings
Eigenvolume effects cause broad minima in temperature fits.
Uncertainty in temperature extraction can be as large as 150 MeV.
Modeling short-range repulsion significantly impacts thermal fit results.
Abstract
The conventional hadron-resonance gas (HRG) model with the Particle Data Group (PDG) hadron input, full chemical equilibrium, and the hadron type dependent eigenvolume interactions is employed to fit the hadron mid-rapidity yield data of ALICE Collaboration for the most central Pb+Pb collisions. For the case of point-like hadrons the well-known fit result MeV is reproduced. However, the situation changes if hadrons have different eigenvolumes. In the case when all mesons are point-like while all baryons have an effective hard-core radius of 0.3 fm the temperature dependence of the has a broad minimum in the temperature range of MeV, with fit quality comparable to the MeV minimum in the point-particle case. Very similar result is obtained when only baryon-baryon eigenvolume interactions are considered, with eigenvolume parameter…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
