Research Article  Open Access
Transverse Momentum Spectra of and at Midrapidity in + Au, Cu + Cu, and Collisions at GeV
Abstract
We analyze transverse momentum spectra of and at midrapidity in + Au, Cu + Cu, and collisions at GeV in the formworks of Tsallis statistics and Boltzmann statistics, respectively. Both of them can describe the transverse momentum spectra and extract the thermodynamics parameters of matter evolution in the collisions. The parameters are helpful for us to understand the thermodynamics factors of the particle production.
1. Introduction
Highenergy collisions provide many finalstate particles, which can be observed in experiments [1–3]. By an investigation of the particle distribution produced in different kinds of collisions, we may speculate the collision process in some ways. Among the properties of the observed particles, the transverse momentum plays a significant role in the colliding experiment. Transverse momentum spectra of hadrons produced in proton and heavyion collisions at RHIC and LHC energies have been described successfully through nonextensive statistical mechanics [4]. In our previous work [5], we have systematically investigated the pseudorapidity distributions of charged particles produced in highenergy nucleonnucleon ( or ) collisions and highenergy nucleusnucleus (AA) collisions with different centralities by combining Tsallis statistics with a multisource thermal model.
Recently, Tsallis statistics [6–8] and Boltzmann statistics [9] have been used to analyze the transverse momentum spectra in heavyion collisions at high energy. They can both extract the thermodynamics parameters of matter produced in the collisions. What is a parameter difference between the different models? What does the difference mean? In order to concretely understand the thermodynamics properties [10], we implant the Tsallis distribution and Boltzmann distribution in the multisource thermal model. In this paper, we compare the two model descriptions of the transverse momentum spectra of and produced in + Au, Cu + Cu, and collisions at GeV. Two forms of the Tsallis distribution will be taken in Tsallis statistics. One is a conventional choice and the other has been improved to satisfy the thermodynamical consistency [8].
2. Tsallis Distribution and Boltzmann Distribution
In the Tsallis statistics [6–8], the momentum distribution is given by where is the Tsallis temperature, is called the “nonequilibrium degree” of the collision system, and is the degeneracy degree. The parameters , , , and are the particle momentum, the system volume, the energy, and the chemical potential, respectively. In terms of the transverse mass and the rapidity , the transverse momentum spectra of the particles can be written as When and , the distribution function is Considering a fixed rapidity interval [5], the distribution function should be where the interval of the integral represents the rapidity range observed in the experiment. is a normalization constant. The function is an improved form to satisfy the thermodynamical consistency [8]. Under the limit , the spectrum becomes a conventional form, Next, we review the Boltzmann distribution. For Maxwell’s ideal gas, the momentum distribution function is where is a Boltzmann constant and is the particle mass. If the relativistic effect is taken into account, the momentum distribution function is where is the secondorder modified Bessel function. For the isotropic emission in the collision, the transverse momentum distribution is where is a normalization constant. The twocomponent distribution of the transverse momentum is where indicates the contribution percentage of the first component.
3. Discussion and Conclusion
Figure 1 shows the transverse momentum spectra of meson at midrapidity in + Au, Cu + Cu, and collisions at GeV. The experimental points measured by STAR and PHENIX collaborations [11–15] are shown with different symbols. For Cu + Cu and + Au, different centrality bins are marked by the different shapes. At the bottom of the figure, we show the data as a reference. The dashed lines and solid lines are numerical results from the thermodynamically consistent Tsallis distribution equation 4 and the conventional Tsallis distribution equation 5, respectively. It is seen that the two forms of Tsallis distribution can both agree with the data. The difference of the numerical results is very small. The parameters , , , and in the calculations are listed in Table 1 with per degree of freedom (/dof). Their values do not change obviously due to a scaling behavior. In Figure 2, we also give a comparison between the numerical results and the experimental points of (or ). The parameters , , , and are listed in Table 2 with /dof. Similarly, the values have no significant or no regular changes. With Tsallis statistics’ success in dealing with nonequilibrated complex systems in condensed matter research, it is used to study the particle production in highenergy physics. The Tsallis statistics is widely applied in the description of the experimental data in RHIC [12, 16, 17] and LHC [18–20]. It is an advantage that the Tsallis statistics is connected to thermodynamics by the entropy; for example, see [21] for more detailed discussions and its references.


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In Figures 3 and 4, we present a comparison between the twocomponent Boltzmann distribution and the experimental data measured in + Au, Cu + Cu, and collisions at GeV. The solid lines denote the results of the twocomponent Boltzmann distribution equation 9. The twocomponent Boltzmann distribution also can agree with the experimental points. The dashed lines and the dotted lines denote the contributions of the first component and the second component, respectively. It is seen clearly that the soft and hard interactions behave in the low and high transverse momentum of the identified particles. The parameters , , and used in the calculations are given in Table 3 with /dof. The values of are two to four times the values of or . The values of are about twice the values of because of the hard interaction. In 9, the first component is the contribution of soft process and the second component is the contribution of hard process. The distribution in the low transverse momentum region is mainly contributed by the soft processes. The hard processes contribute high transverse momentums in the spectra. For the twocomponent distribution of the Boltzmann distribution, the parameter is used to denote the contribution of the soft process and is used to denote the contribution of the hard process.

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In summary, we have compared Tsallis statistics and the Boltzmann distribution in the analysis of the transverse momentum spectra of and at midrapidity in + Au, Cu + Cu, and collisions at GeV. The two methods can both describe the distribution of the finalstate particles. They have their own advantage and proper scope. The two forms of Tsallis distribution can consistently agree with the experimental points in the low and high region. Tsallis statistics is nonextensive statistics [4]. The parameter is temperature and the parameter summarily describes all features causing a departure from the BoltzmannGibbs statistics. In [6], directly reflects intrinsic fluctuations of the temperature. However, the Tsallis distribution also emerges from a number of other dynamical mechanisms [22]. The twocomponent Boltzmann distribution can directly show the contribution of the soft interaction and the hard interaction in the observed spectra by the weight parameter .
Conflict of Interests
The authors declare that there is no conflict of interests regarding the publication of this paper.
Acknowledgments
This work is supported by the National Natural Science Foundation of China under Grant no. 11247250, no. 11005071, and no. 10975095 and the Shanxi Provincial Natural Science Foundation under Grant no. 2013021006.
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Copyright
Copyright © 2015 BaoChun Li et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The publication of this article was funded by SCOAP^{3}.