We analyze identified hadron spectra in pp collisions at s=13 TeV measured by ALICE within a non-extensive statistical framework. Spectra classified by multiplicity, flattenicity, and spherocity were fitted with the Tsallis-Pareto distribution, and the parameters were studied on the Tsallis-thermometer. Multiplicity and flattenicity classes follow a previously observed scaling, while the non-extensivity parameter shows a distinct sensitivity to the spherocity. A data-driven parametrization confirms a proportionality between the Tsallis temperature and mean transverse momentum, offering a simple estimate of the effective temperature. These results highlight the ability of the Tsallis-thermometer to capture both multiplicity and event-shape effects, linking soft and hard processes in small systems.
@article{arxiv.2601.04106,
title = {Effect of event classification on the Tsallis-thermometer},
author = {Laszlo Gyulai and Gabor Biro and Robert Vertesi and Gergely Gabor Barnafoldi},
journal= {arXiv preprint arXiv:2601.04106},
year = {2026}
}