A ‘soft + hard’ model for heavy-ion collisions

Ürmössy, Károly; Barnaföldi, G. G.; Harangozó, Sz; Bı́ró, Tamás; Xu, Z.

doi:10.1088/1742-6596/805/1/012010

Cited by 16 publications

(21 citation statements)

References 44 publications

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“…Panel (b) presents a comparison of p T distributions for p + p and P b + P b collisions 139,140 . The dashed line in panel (b) shows the behavior of the alternative approach proposed in 141,142 and based on a two component, soft+hard, picture of the production process, each taken in the form of Eq. (2).…”

Section: Surprising Effects: Log-periodic Oscillations In Tsallis Dismentioning

confidence: 99%

Some intriguing aspects of multiparticle production processes

Wilk

Włodarczyk

2018

Int. J. Mod. Phys. A

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Multiparticle production processes provide valuable information about the mechanism of the conversion of the initial energy of projectiles into a number of secondaries by measuring their multiplicity distributions and their distributions in phase space. They therefore serve as a reference point for more involved measurements. Distributions in phase space are usually investigated using the statistical approach, very successful in general but failing in cases of small colliding systems, small multiplicities, and at the edges of the allowed phase space, in which cases the underlying dynamical effects competing with the statistical distributions take over. We discuss an alternative approach, which applies to the whole phase space without detailed knowledge of dynamics. It is based on a modification of the usual statistics by generalizing it to a superstatistical form. We stress particularly the scaling and self-similar properties of such an approach manifesting themselves as the phenomena of the log-periodic oscillations and oscillations of temperature caused by sound waves in hadronic matter. Concerning the multiplicity distributions we discuss in detail the phenomenon of the oscillatory behaviour of the modified combinants apparently observed in experimental data.

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Section: Surprising Effects: Log-periodic Oscillations In Tsallis Dismentioning

confidence: 99%

Some intriguing aspects of multiparticle production processes

Wilk

Włodarczyk

2018

Int. J. Mod. Phys. A

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“…Part of these particle spectra can be explained by perturbative QCD calculations [5], but for a complete description of all of the fits a Tsallis-Pareto [6] like Ansatz is necessary. These fits have just one additional parameter compared to a Boltzmannian, yet they work very nicely in experimental fits [2,[7][8][9] although in certain cases the soft and hard physics has to be treated separately [10].…”

Section: Introductionmentioning

confidence: 98%

Particle yields from numerical simulations

Homor

Jakovác

2018

Phys. Rev. D

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In this paper we use numerical simulations to calculate the particle yields. We demonstrate that in the model of local particle creation the deviation from the pure exponential distribution is natural even in equilibrium, and an approximate Tsallis-Pareto-like distribution function can be well fitted to the calculated yields, in accordance with the experimental observations. We present numerical simulations in classical Φ 4 model as well as in the SU(3) quantum Yang-Mills theory to clarify this issue.

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“…It was shown in recent publications that fits based on the Tsallis distribution [1] give a good description of transverse momentum distributions of charged particles measured in p-p collisions at the LHC [2][3][4][5][6][7][8][9][10]. Some of these fits extend to values of p T up to 200 GeV/c [11][12][13][14][15] and provide an excellent description over 14 orders of magnitude in the transverse momentum spectrum.…”

Section: Introductionmentioning

confidence: 99%

The Parameters of The Tsallis Distribution at the LHC

et al. 2017

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Abstract. This talk focuses on fits, using the Tsallis distribution, extending to very large values of the transverse momentum of charged particles in p-p collisions and on the energy dependence of the parameters. A thermodynamically consistent form of the distribution is used for fitting the transverse momentum spectra at mid-rapidity. The fits based on the proposed distribution provide a very good description over 14 orders of magnitude. The parameters obtained show a smooth increase in the value of q and a corresponding smooth decrease in the value of T with increasing beam energy.

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A ‘soft + hard’ model for heavy-ion collisions

Cited by 16 publications

References 44 publications

Some intriguing aspects of multiparticle production processes

Some intriguing aspects of multiparticle production processes

Particle yields from numerical simulations

The Parameters of The Tsallis Distribution at the LHC

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