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A comparative study of hadron-hadron and heavy-ion collision using the $q$-Weibull distribution function

Rohit Gupta, Satyajit Jena

TL;DR

This study probes whether Quark-Gluon Plasma (QGP)-like signatures appear in high-multiplicity $pp$ collisions by analyzing charged-hadron $p_T$ spectra across $pp$, $pPb$, and $PbPb$ systems with the $q$-Weibull distribution. The approach fits spectra over wide $p_T$ ranges using the Tsallis-extended $q$-Weibull form, extracting parameters $q$, $k$, and $λ$ to quantify non-equilibrium effects, hard scattering contributions, and collective expansion. Key results show that $k$ increases with the $p_T$ range, and that $q$ trends differ between small and large systems: heavy-ion data display a centrality-dependent decrease at low $p_T$ with a reversal at high $p_T$, while high-multiplicity $pp$ data exhibit lower $q$ values even at high $p_T$, suggesting distinct production mechanisms and the influence of multi-partonic interactions (MPI). The findings highlight different thermodynamic trajectories in small versus large collision systems and call for further theoretical work to interpret $q$ in terms of equilibration and QGP signatures.

Abstract

Recent results on multiplicity dependent transverse momentum spectra data in different high multiplicity $pp$ collision have opened a window to search for QGP like medium in hadron-hadron collision. In this work we have performed a comparative study of charged hadron spectra in $pp$, $pPb$ and $PbPb$ collision using the $q$ parameter obtained from the $q$-Weibull distribution function. We observed a disparity in the trend of $q$ parameter in high $p_T$ range.

A comparative study of hadron-hadron and heavy-ion collision using the $q$-Weibull distribution function

TL;DR

This study probes whether Quark-Gluon Plasma (QGP)-like signatures appear in high-multiplicity collisions by analyzing charged-hadron spectra across , , and systems with the -Weibull distribution. The approach fits spectra over wide ranges using the Tsallis-extended -Weibull form, extracting parameters , , and to quantify non-equilibrium effects, hard scattering contributions, and collective expansion. Key results show that increases with the range, and that trends differ between small and large systems: heavy-ion data display a centrality-dependent decrease at low with a reversal at high , while high-multiplicity data exhibit lower values even at high , suggesting distinct production mechanisms and the influence of multi-partonic interactions (MPI). The findings highlight different thermodynamic trajectories in small versus large collision systems and call for further theoretical work to interpret in terms of equilibration and QGP signatures.

Abstract

Recent results on multiplicity dependent transverse momentum spectra data in different high multiplicity collision have opened a window to search for QGP like medium in hadron-hadron collision. In this work we have performed a comparative study of charged hadron spectra in , and collision using the parameter obtained from the -Weibull distribution function. We observed a disparity in the trend of parameter in high range.
Paper Structure (5 sections, 5 equations, 7 figures, 1 table)

This paper contains 5 sections, 5 equations, 7 figures, 1 table.

Figures (7)

  • Figure 1: Transverse momentum spectra of charged hadron produced in $pp$ collision at 5.02 TeV Acharya:2019mzb fitted with $q$-Weibull distribution function for different $p_T$ range.
  • Figure 2: Transverse momentum spectra of charged hadron produced in $pp$ collision at 7 TeV Acharya:2018orn fitted with $q$-Weibull distribution function for different $p_T$ range.
  • Figure 3: Transverse momentum spectra of charged hadron produced in $pp$ collision at 13 TeV Acharya:2019mzb fitted with $q$-Weibull distribution function for different $p_T$ range.
  • Figure 4: Transverse momentum spectra of charged hadron produced in $PbPb$ collision at 2.76 TeV Abelev:2012hxa fitted with $q$-Weibull distribution function for different $p_T$ range.
  • Figure 5: Variation of $k$ parameter with varying $p_T$ range obtained by fitting most central/highest multiplicity data of charged hadron spectra produced $pp$Acharya:2018ornAcharya:2019mzb, $pPb$Adam:2016dau and $PbPb$Abelev:2012hxa collision at different energies.
  • ...and 2 more figures