Effect of event classification on the Tsallis thermometer

We analyze identified hadron spectra in pp collisions at <a:math xmlns:a="http://www.w3.org/1998/Math/MathML" display="inline"> <a:msqrt> <a:mi>s</a:mi> </a:msqrt> <a:mo>=</a:mo> <a:mn>13</a:mn> <a:mtext> </a:mtext> <a:mtext> </a:mtext> <a:mi>TeV</a:mi> </a:math> measured by ALICE within a nonextensive 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 nonextensivity 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.