Abstract
Recently, the rapidity-odd directed flow () of produced hadrons (, , , , , , and ) has been studied. Several combinations of these produced hadrons, with very small mass differences but differences in the net electric charge () and net strangeness () on the two sides, have been considered. A difference in between the two sides of these combinations () has been proposed as a consequence of the electromagnetic field produced in relativistic heavy-ion collisions, especially if increases with . Our study is performed to understand the effect of the coalescence sum rule (CSR) on . We point out that the CSR leads to , where the coefficients and reflect the of produced quarks. Equivalently, one can write , involving the difference in the net baryon number , where the CSR gives . We then propose two methods to extract the coefficients for the and dependences of .
1. Introduction
The properties of strongly interacting quark-gluon plasma, produced by relativistic heavy-ion collisions, can be studied using anisotropic flows, including the directed flow () [1,2,3]. has been found to be a sensitive probe of the equation of state of the produced medium [4,5]. The anisotropic flows of identified hadrons are expected to follow the coalescence sum rule (CSR) when the produced matter is initially in parton degrees of freedom and hadronizes via quark coalescence. The CSR states that the sum of constituent quarks’ flow equals the corresponding flow of the hadron; it leads to the number-of-constituent-quark scaling and provides information about the particle production mechanism and partonic collectivity [6,7]. This paper is based on our recent study [8], which was motivated by Ref. [9].
A new method of testing the coalescence sum rule using the difference in in different combinations of produced hadrons [, , , , ), and ] has been previously proposed [9]. These selected hadrons are all produced, consisting of , , s, and quarks. In contrast to the produced hadrons, transported hadrons such as , p, and receive contributions from initial-state (incoming) u and d quarks, along with the produced quarks, which complicates the interpretations of the CSR. Table 1 shows a selection of five independent hadron sets [8]. Sets 1–3 are identical, with the same quark contents on both sides, whereas sets 4–5 are non-identical. Indeed, different choices of five independent hadron sets can be made [8]. One can also obtain all ten sets from Table 1 in Ref. [9]; however, they are not all independent. In a given set, the difference in between the left and right sides (after including the weighting factors of each hadron as listed in Table 1) is termed . Similarly, the differences in the net electric charge ( or ) and net strangeness () are obtained.
As develops in the early stage of collisions, it is sensitive to the strong electromagnetic field produced by incoming protons in the two colliding nuclei. The correlation between the difference in on has been considered as breaking the coalescence sum rule and being a consequence of the electromagnetic fields [9,10], especially when the difference in increases with . This motivated us to critically examine the consequence of the coalescence sum rule on the difference in [8]. This paper is organized as follows. The derivation of the CSR relation is given in Section 2. Two methods for extracting the dependence of on and are presented in Section 3. A summary is finally given in Section 4.
2. The CSR Relation for the Difference in of a Hadron Set
The relation between the of a hadron (H) and those of its constituent quarks from the CSR can be written as
which is a sum over each constituent quark j of the hadron. The simplest case for the coalescence of comoving equal-mass quarks gives the usual relation [7] , where is the number of constituent quarks of the hadron.
For each of the five hadron sets in Table 1, the number of quarks of flavor i () for each side (L: left; R: right) is calculated as the sum of the number of quarks of flavor i in each hadron, multiplied by the weighting factor. With , each set satisfies the following relations:
In other words, the two sides have the same number of quarks and the same number of quarks. However, they may have different and/or . Therefore, they can have a different total net electric charge (q), total net strangeness (S), or total net electric charge in light quarks (), defined as , and , respectively. For the hadron sets in Table 1, Equation (2) leads to
Table 1.
List of five independent hadron sets, including identical ( and ) and non-identical ( and/or ) constituent quark combinations with similar mass.
The total from each side of a hadron set can be written as . It is important to note that we neglect the effect of different constituent quark masses in this study. Therefore, the above relation applies to light and strange (anti)quarks at the same value or range, and consequently, it also applies to baryons at a value or range that is 3/2 times that of the meson’s. The difference in between the two sides is then given by
Equations (4) and (5) show the linear dependence of of a hadron set on both and , where the coefficients are simply determined by the quark-level differences in . We can also see that the coefficient for the dependence in Equation (5) is not as clean as the corresponding coefficient in Equation (4).
The difference in in the hadron sets also depends on , which represents the difference in the net baryon number between the two sides of a hadron set. Under the condition from Equation (2), we have
Therefore, depends linearly on both and as follows:
3. Extracting the and Dependences of the Coefficients
The coalescence sum rule may not be satisfied for certain collision energies and/or systems, e.g., in cases where is not dominated by parton dynamics. Since Equations (4) and (5) from the coalescence sum rule predict = 0 for hadron sets with = 0 or = 0, we propose that the following modified equations are used to fit the data from the five independent sets:
This way, a non-zero value of the intercept parameter, denoted as or , would mean breaking the coalescence sum rule. Note that even for a given collision system, the coalescence sum rule may be satisfied around midrapidity but not satisfied at large rapidities; therefore, these coefficients are rapidity-dependent.
To extract the coefficients of the and dependences of for a given collision system, one can utilize the five-set method by simply fitting the 5 data points using Equation (9) or Equation (10). It should be noted that the fit function represents a two-dimensional plane over the space. Therefore, one should not simply fit the data with a one-dimensional function of without taking into account the different values of different hadron sets.
Alternatively, we can use the three-set method [8], where we take the average of sets 1–3, because they have the same and values, and denote the average as set A. Let us also denote set 4 and set 5 as set B and set C, respectively. Equation (9) then leads to ( = , ( = + , and ( = + + . Thus, we obtain
Similarly, the three-set method yields the coefficients in Equation (10) as
We see that the three-set method has an advantage over the five-set method in that we can extract the and coefficients analytically instead of performing a two-dimensional fit. It should be noted that the CSR predicts the following coefficients [8]:
When the difference in of the hadron sets is expressed in terms of , we can use the following modified equations, which are similar to Equations (9) and (10):
Here, the CSR predicts the following coefficients:
Obviously, the CSR relates the and (or ) coefficients to the quark-level differences in . It should be noted that the quark in Equations (13), (14) and (17) refers to its value after the partonic evolution just before the quark coalescence. Therefore, these coefficients could be non-zero due to the flavor dependence of the strong interaction or the effect of the electromagnetic field on the produced quarks. Additionally, the extraction methods outlined in this section apply to the data in exactly the same way. Furthermore, in the full study [8], we demonstrated these extraction methods for the and coefficients using results from the AMPT model for Au+Au collisions at different energies.
4. Summary
In this study, we derived the relations for , representing the difference in between the two sides of a hadron set, using the coalescence sum rule. In earlier studies, seven produced hadron species (, , , , , , and ) were considered, and a non-zero dependence on the difference in the net electric charge () was considered as breaking the coalescence sum rule and being a consequence of the electromagnetic fields. Our study showed that the coalescence sum rule only leads to a zero for a hadron set if its two sides have identical constituent quark contents (i.e., = = 0). In general, depends linearly on both and , or on both and , and the same applies to the difference in the slopes at midrapidity (). Since there are only five such independent hadron sets, there will be five independent data points from the measurement of a given collision system. We propose using a two-dimensional function such as to extract the coefficients of the and dependences, where a non-zero value of the coefficient indicates the breaking of the coalescence sum rule. In the five-set method, one fits the five data points using this function. On the other hand, in the three-set method, the three data points with the same and values are combined into one set, allowing us to obtain the coefficients analytically. The coalescence sum rule relates these coefficients to the quark-level differences in just before quark coalescence. Therefore, the coefficients can be affected by both the strong interaction and the electromagnetic fields. Equivalently, one can also express or in terms of the net baryon difference , where the function can be used to extract the coefficients, and the coalescence sum rule yields .
Author Contributions
Conceptualization, Z.-W.L.; Methodology, Z.-W.L.; Software, K.N.; Formal analysis, K.N.; Resources, S.-S.S.; Writing—original draft, Z.-W.L.; Writing—review and editing, K.N.; Visualization, K.N.; Supervision, Z.-W.L.; Project administration, S.-S.S.; Funding acquisition, S.-S.S. All authors have read and agreed to the published version of the manuscript.
Funding
S.S. was supported in part by the National Key Research and Development Program of China under Grant Nos. 2022YFA1604900 and 2020YFE0202002, and the National Natural Science Foundation of China under Grant Nos. 12175084 and 11890710 (11890711). K.N. was supported by OSHEC, Department of Higher Education, Government of Odisha, Index No. 23EM/PH/124, under MRIP 2023. Z.-W.L. was supported by the National Science Foundation under Grant Nos. 2012947 and 2310021. The APC was funded by the National Science Foundation under Grant No. 2012947.
Data Availability Statement
Data are contained within the article.
Acknowledgments
We thank Sandeep Chatterjee for the discussions.
Conflicts of Interest
The authors declare no conflict of interest.
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