9th International Workshop on Multiple Partonic Interactions at the LHC

Multiplicity Dependence of Non-extensive Parameters for Strange and Multi-Strange Particles in Proton-Proton Collisions at √s = 7 TeV at the LHC

12 Dec 2017, 17:20

15m

Conference Hall (Hotel Peterhoff, Shimla, India)

WG5: High Multiplicities

Speaker

Arvind Khuntia (Indian Institute of Technology Indore (IN))

Description

High-energy heavy-ion collisions at RHIC and LHC provide a unique opportunity to study nuclear matter under extreme conditions i.e. at high temperature and/or
energy density. Due to the high multiplicities produced in $p+p$ collisions, one can use the the statistical models to describe the particle production mechanism. As thermodynamically consistent Tsallis statistics has been successful in describing the transverse momentum ($p_T$) spectra of identified particles, we use this distribution to fit the entire $p_T$ spectra and study the Tsallis parameters as a function of multiplicity as well as mass for the strange ($K_S^0,\mathrm{\Lambda }+\overline{\mathrm{\Lambda }}$) and multi-strange particles (${\mathrm{\Xi }}^{-}+{\overline{\mathrm{\Xi }}}^{+},{\mathrm{\Omega }}^{-}+{\overline{\mathrm{\Omega }}}^{+}$) in $p+p$ collisions at $\sqrt{s}$ = 7 TeV. The extracted non-extensive parameter decreases towards 1 for high multiplicity event classes except $K_S^0$, shows the tendency of the produced system to equilibrate with higher multiplicities. Similarly T shows a systematic increase with multiplicity, the heaviest baryons showing the
steepest increase. This is an indication of a mass hierarchy in particle freeze-out. The radius has a tendency to remain constant at high multiplicities. These changes have implicaions for the kinetic freeze-out conditions where the heavy multi-strange hadrons are seen to have an earlier kinetic freeze-out, meaning they come from a smaller volume at a higher temperature. These results show that the Tsallis distribution is an excellent tool to analyze high-energy $p+p$ collisions

Presentation materials

MPI_multiplicity_Arvind.pdf