Importance of volume corrections on the net-charge distributions at the RHIC BES energiesPresented at CPOD 2016: Critical Point and Onset of Deconfinement 2016, Wroclaw, Poland, May 30th - June 4th, 2016

Importance of volume corrections on the net-charge distributions at the RHIC BES energiesthanks: Presented at CPOD 2016: Critical Point and Onset of Deconfinement 2016, Wroclaw, Poland, May 30th - June 4th, 2016

Hao-jie Xu
Department of Physics and State Key Laboratory of Nuclear Physics and Technology, Peking University, Beijing 100871, China
haojiexu@pku.edu.cn
Abstract

The paper presents my recent investigations of volume corrections on the cumulant products of net-charge distributions in statistical model, corresponding to the data reported by the STAR collaboration. The corrected statistical expectations, under simple Poisson approximations, can reasonably explain the data measured in experiment. The results indicate that volume corrections play crucial role in event-by-event multiplicity fluctuation studies.

PACS numbers: 25.75.-q, 25.75.Gz, 25.75.Nq

1 Introduction

The multiplicity fluctuations with event-by-event analysis are expected to provided us some crucial information about the critical end point of Quantum Chromodynamics phase diagram in the plane [1, 2, 3, 4, 5, 6]. Some observables, e.g. the cumulants of (net-conserved) charge distributions, have been measured by the beam energy scan (BES) program from the Relativistic Heavy Ion Collider (RHIC) at Brookhaven National Laboratory (BNL) with a wide range of collision energies from GeV to GeV [7, 8, 9].

Besides the fluctuation data and theoretical studies on critical fluctuations, it is clear that a sufficient understanding of non-critical statistical fluctuations is also important. To bridge the gaps between experimental measurements and statistical fluctuation calculations, I have derived a general formalism in statistical model [10] for recent multiplicity fluctuation measurements at RHIC [7, 8, 9]. With the volume corrections, the multiplicity distributions can be written as [10, 11]

(0)

where is the distribution of reference multiplicity

(0)

Here represents the multiplicity of fluctuation measures in moment analysis sub-event , and represents the multiplicity of reference particles in centrality definition sub-event . and stand for multiplicity distributions in a fixed volume . Here I have assumed that the two sub-events are independent of each other in each event.

2 Corrected cumulant products of net-charge distributions

First I assume that the probability distribution of reference particles in a fixed volume is Poisson distribution. Then the volume V can be substituted by , the Poisson parameters of . At non-central collisions, the first four cumulants of read [11, 12]

(0)

where and are the first four reduced cumulants of  [11]

(0)

with and

(0)

If the net-charge distributions are Skellam distributions in a fixed volume, one obtains and , where and are the mean value of positive and negative charges. The cumulant products of net-charge distributions can be written as  [10, 11]

(0)

with , , . In experiment [9], the kinematic cut for the reference particles (total charges) in sub-event is and for the fluctuation measures (net-charges) in sub-event is , where is pseudorapidity. Therefore, due to the multiplicity distributions as function of are almost platform-like distributions at mid-rapidity, one obtains and . Eq. (2) can be written as

(0)

where I have used .

In Eq. (2), the scale variance is close to the Skellam expectation, which indicate that the volume corrections on scale variances of net-charge distributions can be neglected. However, the values of and of net-charge distributions are about four times of the Skellam expectations. The corrected cumulant products and data are shown in Fig. 1. The corrected are closer to the experiment data/NBD baselines than the Skellam baselines given in [9]. The corrected are close to the NBD baselines, but fail to quantitatively reproduce the data. This indicate the existence of correlations between positive and negative charges [9] and/or the correlations between the fluctuation measures and the reference particles. The results indicate that the volume corrections play crucial role for the data of net-charge distributions reported by the STAR collaboration [9].

Figure 1: (Color online). Volume-corrections-corrected (left) and (right) of the net-charge multiplicity distribution in Au+Au collisions at to GeV. The data, Skellam and NBD baselines are taken from  [9].

Note that, though it have been shown in the figures, the results in centrality bins are questionable. This is due to the non-trivial features of volume distributions at most-central collisions, which are reflected in the rapid decreasing of reference multiplicity distributions at top few centrality percentage. With Glauber volume distributions, I found that the non-critical volume corrections on high order cumulants become weak at most-central collisions [11]. However, the details of volume distribution in relativistic heavy ion collisions are required for more precise event-by-event multiplicity studies.

3 Conclusions and Discussions

The volume corrections on net-charge distributions at non-central heavy ion collisions have been investigated. The multiplicity fluctuations of reference particles and fluctuation measures in a fixed volume are simulated by Poisson and Skellam distributions. The volume corrections make significant contribution to the measured cumulants products and of net-charge distributions reported by the STAR collaboration, but can be neglected for the scale variance .

Note that, even in a fixed volume, there are many other effects that make the multiplicity distributions deviate from Poisson distributions. These corrections, e.g., finite volume effect, quantum effect, resonance decays, experimental acceptance, etc [13, 14, 15], should be taken into account, especially in the case of net-proton distributions reported by the STAR collaboration.

This work is supported by the China Postdoctoral Science Foundation under grant No. 2015M580908.

References

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