Medium effects on the electrical conductivity of a hot pion gas

Medium effects on the electrical conductivity of a hot pion gas

Snigdha Ghosh    Sukanya Mitra    Sourav Sarkar Variable Energy Cyclotron Centre, 1/AF Bidhannagar, Kolkata - 700064, India Homi Bhabha National Institute, Training School Complex, Anushaktinagar, Mumbai - 400085, India Indian Institute of Technology Gandhinagar, Gandhinagar-382355, Gujarat, India

The electromagnetic response of an interacting system of pions has been studied at finite temperature. The corresponding transport parameter i.e. electrical conductivity has been estimated by solving the relativistic transport equation in presence of a finite electric field employing the Chapman-Enskog technique where the collision term has been treated in the relaxation time approximation. The scattering amplitudes of charged pions modeled by and meson exchange using an effective Lagrangian have been obtained at finite temperature by introducing self-energy corrections in the thermal propagators in the real time formalism. The temperature behavior of electrical conductivity for a hot pion gas shows significant quantitative enhancement due to the inclusion of medium effects in scattering.

I Introduction

The theoretical framework of strong interactions-Quantum Chromodynamics (QCD), indicates the existence of a liberated state made up of hadronic substructures by virtue of two crucial phenomena - color confinement and asymptotic freedom. In the last few decades experimental facilities performing collisions of heavy ions at highly relativistic energies such as the Relativistic Heavy Ion Collider (RHIC) at BNL and Large hadron Collider (LHC) at CERN have offered the unique opportunity to realize such a thermalized state of deconfined quarks and gluons. After creation the system is observed to show rapid thermalization Heinz () leading to the creation of quark-gluon plasma (QGP). On reduction of its energy density by radial expansion it subsequently converts into a state composed of confined hadronic states presumably retaining considerable strong interaction. In addition, the event by event proton number fluctuations in the symmetric collisions and net proton number difference in asymmetric collisions result in the onset of an extremely strong electromagnetic (EM) field ( Gauss) Skokov (); Zakharov (); Toneev (), that has ever existed in nature. Despite being short lived, such a strong EM field casts profound effects on the dynamics of the created system which finally reflects on the extracted signals such as charged hadronic spectra and flow harmonics. A number of recent works Pang (); Greif (); Tuchin1 (); Pu (); Tuchin2 () have studied the impact of EM field on the system produced in relativistic heavy ion collisions. In response to the strong EM field an induced current is generated within the electromagnetically charged QGP and hot hadronic matter, which is related to the corresponding electric field via the quantity called electric conductivity . It thus provides a quantitative measure of charge transport and appears as a crucial signature of the response of the system to the created EM field.

The significance of electrical conductivity in identifying the EM responses may be observed in a number of ways. First, the sensitivity of the charge dependent directed flow of final state hadrons on the early stage charge asymmetry of the created fireball, is reflected through the system’s electric conductivity Hirano (); Voloshin (). This reveals that the charge separation effect on the measured distribution of final state particles have non-trivial dependencies on . Secondly, the EM response plays a crucial role in determining the thermal photon and dilepton emission rates entering through the current-current correlator. As a consequence turns out to be an integral input to the soft photon and dilepton emission rates Yin (); Ding (); Huot (), such that their transverse momentum spectra and elliptic flow are also sensitive on the temperature dependence of . Again, the strong EM fields also affect the hydrodynamic evolution and flow of the system by enhancing the azimuthal anisotropy of the produced particles in the overlap zone Kharzeev (); Tuchin (). In addition, appears as an initial input to the evolution equations which also influences the extracted signals by a considerable amount. Hence, the precise estimation of along with it’s temperature dependence is extremely necessary for the characterization of systems under EM fields which makes electrical conductivity a topic of interest in the recent literature.

In the last few years, a number of estimations of the electrical conductivity were made mostly in the strongly coupled QGP phase employing different techniques such as relativistic transport theory, dynamical quasiparticle model (DQPM), maximum entropy method (MEM), parton cascade model, quasiparticle approaches and so on Greco (); Greiner-econd (); Greco-econd (); Cassing1 (); Cassing2 (); Qin (); Patra (); Mitra-Chandra (). Lattice QCD computations have produced quite a considerable number of estimations of as well Amato (); Aarts1 (); Aarts2 (); Gupta1 (); Brandt1 (); Brandt2 (); Ding (); Francis (). Also, a number of holographic estimations have been made for electrical conductivity Finazzo (); Huot (); Sachin-cond1 (); Sachin-cond2 (); Sachin-cond3 (); Bu (); Rougemont1 (); Rougemont2 (). In comparison to the hot QCD sector the estimation of in hot hadronic matter has received much less attention. There are nevertheless a few existing works in the hadronic sector in recent times mostly employing the correlator technique to obtain  Fraile1 (); Fraile2 (); Zahed (). In Denicol () however, electric conductivity of a hadron gas has been reported upon in the relativistic kinetic theory approach using constant as well as experimental cross sections that include Breit-Wigner resonances.

In the current work we follow the covariant kinetic approach to obtain for a hot pion gas by solving the relativistic transport equation in Chapman-Enskog (CE) technique. The collision term has been expressed in terms of thermal relaxation times of different pionic components (with different electric charges). Finally, the dynamical input for the charge transport processes giving rise to electrical conductivity, i.e, the interaction cross sections between different pion components, have been constructed including the relevant thermal effects of a strongly interacting medium. This is in fact the novel feature of the study presented in this work. While all the evaluations we came across have used emperical scattering cross-sections extracted from experimental cross-sections in vacuum, we have constructed a theoretical framework which reproduces the vacuum cross-section and is amenable to the incorporation of medium effects. Here, the scattering is taken to proceed via and meson exchange so that medium effects enter through the self-energy corrected exact and propagators evaluated at finite temperature using the real time formalism of thermal field theory. This technique has been earlier used to obtain the temperature dependence of viscosities Mitra1 (), thermal conductivity Mitra2 () and the relaxation time of dissipative flows Mitra3 (). We thus obtain a realistic estimation of the temperature dependence of for an interacting pionic medium at finite temperature likely to be produced in the later stages of heavy ion collisions.

The article is organized as follows. In section II the complete formalism involved in the theoretical description is given in three consecutive subsections. The first one deals with the derivation of in Chapman-Enskog method which is followed by the estimation of thermal relaxation times of charged pion components. This section ends with details of the interaction cross sections at finite temperature in the real time formalism. In section III the numerical results of the temperature behavior of is given along with related discussions. We conclude the article in section IV by providing a summary and possible outlook of the present work.

Ii Formalism

ii.1 Estimation of in CE method

We begin with the formal introduction of some essential thermodynamic quantities and their basic definitions in a multi-component, many particle system following Ref. Degroot (). In order to obtain the expression of electrical conductivity for any system one compares the macroscopic and microscopic definitions of the induced current density . Under the influence of an external electric field , the macroscopic definition of current density can be approximated by a linear relationship with the field itself via as,


In the microscopic definition the current density of a multi-component system is expressed in terms of the diffusion flow of the constituents in the following manner,


with as the electric charge associated with the species. The last step of Eq. (2) follows from the conservation relation .

The diffusion flow for a relativistic system out of equilibrium taking all reactive processes into account, is given by,


Here is the index of conserved quantum number and stands for conserved quantum number associated with component. gives the expression for the total particle 4-flow, where, the same for the species in a multicomponent system is defined as, . The particle fraction corresponding to species is defined as with as the particle number density of species, and , as the total number density of the system respectively. Here is the single particle momentum distribution function for the particle , which is a function of the particle four-momentum and space-time coordinate . In an out of equilibrium situation where irreversible phenomena occur, the distribution function is constructed in terms of its local equilibrium value and the deviation from it , so that


The deviation function quantifies the amount of distortion in the distribution function in an away from equilibrium situation. It is straightforward to show that at leading order ( for equilibrium distribution function ) the diffusion flow vanishes, while at next to leading order the deviation term , gives finite contribution to the diffusion flow as


Now in order to extract we need to know the deviation function . For this purpose we need to solve the relativistic transport equation, i.e, the evolution equation satisfied by the particle distribution function. In the presence of an external electromagnetic force, the relativistic transport equation for a -component multi-species system including the covariant force term is given by


where defines the electromagnetic field tensor in the absence of any magnetic field and is the hydrodynamic four-velocity. We use the metric . The quantity on the right hand side of Eq. (6) is termed as the collision term that quantifies the rate of change of . Here for each , gives the collision contribution due to the scattering of particle with one and is defined as AMY1 (),


The phase space factor is denoted by where is the energy of the particle. The primed notation stands for the final state momenta corresponding to each species. The overall factor appears due to the symmetry in order to compensate for the double counting of final states that occurs by interchanging and and denotes the degeneracy of the scatterer .

In the present analysis we treat the collision term in relaxation time approximation (RTA) where it is assumed that all particles except the one under study ( the particle) is in equilibrium. The collision term is then expressed as the deviation of the distribution function over the thermal relaxation time which is actually a measure of the time scale for restoration of the out of equilibrium distribution to its local equilibrium value. Thus,


with denoting the energy of the particle. Here has been taken as the inverse of the reaction rate of the particle and thus is a function of its four-momentum . Note that there exists other ways of obtaining the relaxation time. Transport relaxation rates can be used besides other possible parametrizations. Moreover, though RTA offers a simple and reasonably accurate way to handle the collision kernel, for better precision the 12-dimensional collision integral given by Eq. (7) needs to be considered along with more advanced methods of simplification.

We now proceed to treat the left hand side of transport equation (6) employing Chapman-Enskog (CE) technique Degroot (). It is an iterative method, where from the known lower order distribution function () the unknown next order correction () can be determined by successive approximation. Some standard algebra leads us to the linearized transport equation,


where the local equilibrium distribution function for pions in terms of particle four-momenta and space time coordinate is given by


with the pion chemical potential introduced for pion number conservation. The subscript here indicates different charge states of pions.

In order to perform the derivative on the first term of the left hand side of (9), we decompose the partial derivative over the distribution function into a timelike and a spacelike part as , with as the covariant time derivative and as the spatial gradient where . Utilizing the definition of equilibrium pion distribution function from (10) we arrive at a number of terms containing spatial gradients and time derivatives over the thermodynamic state parameters. The spatial gradients over velocity, temperature, and chemical potentials can be related to the thermodynamic forces concerning the viscous flow, heat flow and the diffusion flow of the fluid respectively. The remaining time derivatives therefore need to be eliminated using a number of thermodynamic identities so that they also contribute in the expressions of the thermodynamic forces. We list below the thermodynamic identities which are nothing but the time evolution equations of basic thermodynamic quantities namely particle number density, energy per particle and hydrodynamic velocity of fluid,


Here is the partial pressure and is the enthalpy per particle assigned to the species. Eq. (13) reveals that even though the pressure gradient is zero, the Lorentz force acting on the particles due the electric field produces a non-zero acceleration. Reducing the time derivatives on the left hand side of (9) applying Eq. (11)-(13), we are left with the thermodynamic forces on the left hand side of transport equation,


with and denoting the thermal and diffusion driving forces in presence of an electric field,


Here is the enthalpy density for the total system and , with and being the particle fraction and chemical potential associated with quantum number respectively. We have ignored terms related to shear and bulk viscosities since we are interested in conduction processes only. Observing Eq. (15) and (16), we can conclude that the terms proportional to electric field result from the EM response within the medium and will contribute only to electrical conductivity. The structure of the left hand side of transport equation leads us to construct the deviation function on the right hand side as a linear combination of the thermodynamic forces as,


with and the unknown coefficients which need to be determined. They can be obtained by putting Eq. (17) on the right hand side of Eq. (14) and comparing both the sides. Utilizing the fact that thermodynamic forces are independent these coefficients come out to be,


Having determined the complete structure of in terms of thermal relaxation times of constituents we replace it on the right hand side of (5) to obtain the linear law of diffusion flow as,


where the coefficients associated with thermal diffusion and particle concentration diffusion are respectively given by,

Finally, substituting the expression of diffusion flow from Eq. (20) into the microscopic definition of current density in Eq. (2), and keeping the terms proportional to electric field only we finally obtain the expression for the electric current density as,


Comparing Eq. (21) with the macroscopic definition of induced current density given by Eq. (1) we arrive at the expression for electrical conductivity for an component system as Degroot (),


For a three component ( and ) system of pions the expression of electrical conductivity reduces to,


where the electronic charge is given in terms of the fine structure constant .

ii.2 Thermal relaxation times of pion components

We now specify the thermal relaxation times for separate pionic charge states. The expression of the relaxation times for different species in a multicomponent system can be obtained by putting Eq. (4) into the right hand side of Eq. (7) and assuming that all except the particle are in equilibrium. Comparing with Eq. (8), the relaxation time is obtained as the inverse of the reaction rate  Zhang (),


Here, is the amplitude for binary elastic scattering processes involving charged pion states, to be specified in the next section. Considering now that the momentum transfer is not too large, the following assumptions can be made, and  Thoma ().

In centre of momentum (CM) frame the expression of reduces to,

where is the CM energy and is the triangular function. is the scattering angle in the CM frame.

ii.3 Estimation of cross section at finite temperature

Figure 1: The isospin averaged total in-medium cross sections of elastic scattering at three different temperatures (100, 130 and 160 MeV respectively) compared with vacuum cross section and experimental data Prakash:1993bt (). In all the cases, temperature dependent pion chemical potential has been used.

To calculate the Lorentz invariant amplitudes for elastic binary scattering among different charge states of pions, we take the following well known effective and interations Serot:1984ey (),


where, = 6.05 and = 0.525 GeV.

The invariant amplitudes for scattering processes are



Eqs. (27)-(32) correspond to the contributions from different Feynman diagrams where, , and are the Mandelstam variables. Note that in the -channel diagrams we have used effective propagators for the and obtained from a Dyson-Schwinger sum in which and are the self energies of and meson respectively.

Our next task is to evaluate the one-loop self energies of and meson. For the , we have taken contributions from , , and loop diagrams Ghosh:2009bt (), whereas for only the loop is considered. First, we write down the expressions for the spin averaged self energies in vacuum,


where, is the scalar Feynman propagator with mass ; and contains terms coming from interaction vertices as well as from the numerator of the vector propagators in cases where or . The explicit forms of and are Ghosh:2009bt (),

where, = 9.35 GeV, = 10.75 GeV and =11.82 GeV. In order to calculate the corresponding in-medium self energies (at finite temperature and chemical potential), we have used the Real Time Formalism (RTF) of thermal field theory bellac () in which all two-point functions including the 1-loop self energy become matrices. However they can be diagonalized in terms of analytic functions. Following standard prescription bellac (); Mallik:2016anp (), we obtain the real and imaginary parts of the in-medium self energy functions and they can be written as,


where, , , is the Bose-Einstein distribution function with being the 4-velocity of the medium. In the local rest frame . To take into account the finite vacuum width of unstable particles ( and ) in the loop, contributions to the self energy functions from and loops are convoluted with vacuum spectral functions of and respectively Sarkar:2004jh ().

To check how the results of the model compare with experimental data, it is convenient to go to the isospin basis. The differential scattering cross section is given by where, the isospin averaged invariant amplitude is

in which,

The total isospin averaged scattering cross section () plotted against the center of mass energy () is shown in Fig. 1. It is seen that the vacuum cross section denoted by the solid curve agrees fairly well with the experimental data Prakash:1993bt () on ignoring the non-resonant contribution which leads to an overestimation. The model is thus normalized to experimental data in vacuum.

A discussion of the pion chemical potential is in order at this point. In heavy ion collisions pions get out of chemical equilibrium early, at 170 MeV, and a corresponding chemical potential starts building up with decrease in temperature. The kinetics of the gas is then dominated by elastic collisions including resonance formation such as etc. At still lower temperature, 100 MeV elastic collisions become rarer and the momentum distribution gets frozen resulting in kinetic freeze-out. This scenario is quite compatible with the treatment of medium modification of the cross-section being employed in this work where the interaction is mediated by and exchange and the subsequent propagation of these mesons are modified by two-pion and effective multi-pion fluctuations. We take the temperature dependent pion chemical potential from Ref. Hirano:2002ds () which implements the formalism described in Bebie:1991ij () and reproduces the slope of the transverse momentum spectra of identified hadrons observed in experiments. Here, by fixing the ratio where is the entropy density and the number density, to the value at chemical freeze-out where , one can go down in temperature up to the kinetic freeze-out by increasing the pion chemical potential. This provides the temperature dependence leading to whose value starts from zero at chemical freezeout and rises to a maximum at kinetic freezeout. The temperature dependence is parametrized as

with , , , and , in MeV. In this partial chemical equilibrium scenario of Bebie:1991ij () the chemical potentials of the heavy mesons are determined from elementary processes. The chemical potential e.g. is given by , as a consequence of the processes occurring in the medium. The branching ratios are taken from PDG ().

The in-medium cross-section is now obtained by introducing the effective propagators for the and mesons in the expressions for the matrix elements. As discussed above, , and loops modify propagation in addition to . Owing to the large decay widths of the , and these loops may be considered as multi-pion fluctuations. In Fig. 1, the in-medium cross sections are shown at three different temperatures ( = 100, 130 and 160 MeV respectively) incorporating . As the temperature increases the thermal distribution functions in Eq. (36) increase resulting in increase in the imaginary parts of the self energies. Physically it implies enhancement of decay and scattering rates of and in the thermal medium. This ultimately suppresses the in-medium cross section and this suppression increases with the increase in temperature. A small shift of the peak of the cross section towards lower with the increase in temperature is due to the small positive contribution from the real part of the self energies in Eq. (35).

Iii Results and Discussions

Figure 2: Relaxation time as a function of for for different cross sections and pion chemical potentials
Figure 3: Relaxation time as a function of for for different cross sections and pion chemical potentials

We begin our discussion of numerical results with the temperature dependence of the mean relaxation times for and . For species this is defined in terms of the thermal average of the momentum dependent inverse relaxation time as

so that, the mean relaxation time is