2021
DOI: 10.1142/s0217751x21501499
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Multiplicity dependencies of midrapidity transverse momentum spectra of identified charged particles in p+p collisions at (s)1/2 = 13 TeV at LHC

Abstract: Multiplicity dependencies of midrapidity [Formula: see text] spectra of identified charged particles in inelastic [Formula: see text] collisions at [Formula: see text] TeV at the Large Hadron Collider (LHC), measured by ALICE Collaboration, have been analyzed. The combined minimum [Formula: see text] fits with thermodynamically consistent Tsallis function as well as Hagedorn function with the embedded transverse flow describe quite satisfactorily the [Formula: see text] spectra of particles in the studied 10 d… Show more

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Cited by 23 publications
(74 citation statements)
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“…The n and in the equation are two free parameters of the function. Moreover, the Tsallis function 15 18 can excellently describe the and invariant distribution measured in pp collisions at high energies. There are several version of the Tsallis function that can give good fit results to the spectra, however, the following expression is a simple version of the Tsallis function 22 that describes the invariant spectra of particles in terms of the effective temperature and non-extensivity parameter q which accounts for the deviation of the spectra from the usual Boltzmann–Gibbs exponential distribution function.…”
Section: Methods and Modelsmentioning
confidence: 99%
See 1 more Smart Citation
“…The n and in the equation are two free parameters of the function. Moreover, the Tsallis function 15 18 can excellently describe the and invariant distribution measured in pp collisions at high energies. There are several version of the Tsallis function that can give good fit results to the spectra, however, the following expression is a simple version of the Tsallis function 22 that describes the invariant spectra of particles in terms of the effective temperature and non-extensivity parameter q which accounts for the deviation of the spectra from the usual Boltzmann–Gibbs exponential distribution function.…”
Section: Methods and Modelsmentioning
confidence: 99%
“…The temperature at the kinetic freeze-out stage ( ), the effective temperature ( ) and the average transverse flow velocity ( ) are extracted by fitting the data with these statistical functions. and are obtained by using a modified Hagedorn function with embedded transverse flow velocity 15 18 . In addition, is extracted by using the Tsallis distribution function 19 23 .…”
Section: Introductionmentioning
confidence: 99%
“…The different transverse flow models have been incorporated into Tsallis statistics to describe the p t distributions of hadrons in high-energy heavy-ion and proton-proton collisions at the RHIC and LHC. In most cases, the Blast-Wave model with Boltzmann-Gibbs statistics (the BGBW model) [26][27][28], the Blast-Wave model with Tsallis statistics (the TBW model) [29,30], the Tsallis distribution with transverse flow effect-improved Tsallis distribution [30][31][32], and the Hagedorn formula (function) with transverse flow [11,16,21,33] have been used to estimate the kinetic freeze-out temperature and transverse expansion velocity.…”
Section: Introductionmentioning
confidence: 99%
“…However, as indicated in [34], it is not feasible to assign the physical meaning to collective properties, such as kinetic freeze-out temperature or radial transverse flow velocity, extracted from separate model fits to each particle type. The simultaneous model fits to p t distributions of various particle species in a studied collision system, performed by keeping the temperature and transverse flow velocity as the common (shared) fitted parameters for all particle species, can produce the physically meaningful collective parameters of a collision system [16,21,33,34]. The combined (global) fits have proved to be quite efficient for the extraction of collective properties and the comparison of different collision systems with the help of few parameters [16,21,33,34].…”
Section: Introductionmentioning
confidence: 99%
“…Understanding the characteristics of particle productions is very necessary for researchers to study the evolution of collision system and interactions among various particles. [ 30–37 ]…”
Section: Introductionmentioning
confidence: 99%