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Chiral phase structure of three flavor QCD
in a background magnetic field

Heng-Tong Ding [email protected] Key Laboratory of Quark & Lepton Physics (MOE) and Institute of Particle Physics, Central China Normal University, Wuhan 430079, China    Christian Schmidt [email protected] Fakultät für Physik, Universität Bielefeld, D-33615 Bielefeld, Germany    Akio Tomiya [email protected] RIKEN/BNL Research center, Brookhaven National Laboratory, Upton, NY, 11973, USA    Xiao-Dan Wang [email protected] Key Laboratory of Quark & Lepton Physics (MOE) and Institute of Particle Physics, Central China Normal University, Wuhan 430079, China
Abstract

We investigate the chiral phase structure of three flavor QCD in a background U(1)U(1) magnetic field using the standard staggered action and the Wilson plaquette gauge action. We perform simulations on lattices with a temporal extent of Nτ=4N_{\tau}=4 and four spatial extents of Nσ=8,16,20N_{\sigma}=8,16,20 and 24. We choose a quark mass in lattice spacing as am=0.030am=0.030 with corresponding pion mass estimated as mπ280m_{\pi}\sim 280 MeV such that there exists a crossover transition at vanishing magnetic fields, and adopt two values of magnetic field strength in lattice spacing aeB1.5a\sqrt{e{B}}\simeq 1.5 and 2 corresponding to eB/mπ211eB/m_{\pi}^{2}\sim 11 and 20, respectively. We find that the transition becomes stronger in the presence of a background magnetic field, and turns into a first order as seen from the volume scaling of the order parameter susceptibility as well as the metastable states in the time history of the chiral condensate. On the other hand, the chiral condensate and transition temperature always increase with BB even within the regime of a first order phase transition. This suggests that the discrepancy in the behavior of chiral condensates and transition temperature as a function of BB between earlier lattice studies using larger-than-physical pion masses with standard staggered fermions and those using physical pions with improved staggered fermions is mainly due to lattice cutoff effects.

I Introduction

Strong magnetic fields have been shown to have many significant impacts on the properties of systems governed by strong interaction, and they may have observable consequences in heavy-ion collision experiments as well as magnetized neutron stars Kharzeev et al. (2013); Miransky and Shovkovy (2015). One of the interesting impacts is the behavior of transition temperature of strong-interaction system and chiral condensate as a function of the magnetic field strength BB. Early lattice studies of Nf=2N_{f}=2 QCD with standard staggered fermions and larger-than-physical pions on Nτ=4N_{\tau}=4 lattices found the so-called magnetic catalyses, which means that the chiral condensate increases monotonically with increasing BB D’Elia et al. (2010). As the chiral symmetry breaking is enhanced it is expected and observed that the transition temperature consequently increases with BB D’Elia et al. (2010). However, based on continuum-extrapolated lattice results of Nf=2+1N_{f}=2+1 QCD using improved staggered fermions and physical pions Bali et al. (2012) it turns out that the transition temperature has the opposite behavior in magnetic field as compared to earlier studies in Ref. D’Elia et al. (2010). I.e. the transition temperature decreases with increasing BB. The chiral condensate, on the other hand, first increases and then decreases with BB in the transition regime Bali et al. (2012). This non-monotonic behavior of chiral condensate in BB, which is called inverse magnetic catalysis, has also been observed in further lattice studies Ilgenfritz et al. (2014); Bornyakov et al. (2014); Bali et al. (2014).

The discrepancy of lattice results in the behavior of chiral condensates and transition temperature in BB reported in Refs D’Elia et al. (2010) and Bali et al. (2012); Ilgenfritz et al. (2014); Bornyakov et al. (2014); Bali et al. (2014) is probably due to either large quark masses or possible large cutoff effects present in the first study. To understand the role of quark masses in the intricate relation between the (inverse) magnetic catalysis and the reduction of transition temperature, authors of Refs. D’Elia et al. (2010) and Bali et al. (2012) have performed lattice studies of NfN_{f}=2+1 D’Elia et al. (2018) and NfN_{f}=3 QCD  Endrodi et al. (2019) using improved staggered fermions with various larger-than-physical values of pions (370 MeV mπ\lesssim m_{\pi}\lesssim 700 MeV) on NτN_{\tau}=6 lattices. It is found that the reduction of transition temperature always holds, however, the inverse magnetic catalysis disappears at a certain value of pion mass. It is suggested in Ref. D’Elia et al. (2018) that the inverse magnetic catalysis is more like a deconfinement catalysis Bonati et al. (2016) as it is not necessarily associated with the reduction of the transition temperature as a function of BB.

Despite the discrepancy mentioned above the strength of the QCD transition always becomes larger in the stronger magnetic field as presented in Refs. D’Elia et al. (2010); Endrodi (2015). And it is speculated that the strength could be sufficiently large to turn the crossover transition into a first order phase transition which can then generate a critical point in the QCD phase diagram in the plane of temperature and magnetic field Endrodi (2015); Cohen and Yamamoto (2014). However, no true phase transition of QCD in a background magnetic field has been observed in lattice QCD simulations.

One of the main motivations of the current study is to explore the chiral phase structure of Nf=3N_{f}=3 QCD in a background magnetic field. At the vanishing magnetic field the true first order phase transition is not yet observed, and state-of-the-art estimates on the critical pion mass mπcm_{\pi}^{c} based on lattice QCD simulations are mπc50m_{\pi}^{c}\lesssim 50 MeV using improved staggered fermions Endrodi et al. (2007); Bazavov et al. (2017) and mπc110m_{\pi}^{c}\lesssim 110 MeV using clover-improved Wilson fermions Nakamura et al. (2019); Kuramashi et al. (2020). Since the background magnetic field always enhances the strength of the transition one may wonder whether it could enlarge the first order chiral phase transition region in NfN_{f}=3 QCD, i.e. having a larger value of the critical pion mass.

In this paper we investigate the transition of Nf=3N_{f}=3 QCD in background magnetic fields with a quark mass corresponding to pion mass estimated as 280\sim 280 MeV at vanishing magnetic field. In our lattice simulations we use standard staggered fermions for a testbed towards to probe a first-order phase transition with magnetic fields using improved fermions, e.g. Highly Improved Staggered Quarks Tomiya et al. (2019). The usage of standard staggered fermions with a small quark mass also renders us to understand whether the discrepancy in the behavior of chiral condensate and transition temperature as a function of the magnetic field strength in D’Elia et al. (2010); Endrodi (2015) is ascribed to the lattice cutoff effects.

The paper is organized as follows. In Section II, we introduce our lattice setup and observables to be investigated. In Section III, we mainly discuss the order of the transition based on results of chiral condensates, Polyakov loops as well as their susceptibilities and Binder cumulants. In Section IV, we conclude our work. The preliminary results have been reported in Tomiya et al. (2018).

II Lattice setup and observables

We perform our simulations on Nσ3×NτN_{\sigma}^{3}\times N_{\tau} lattices with 3 mass-degenerate flavors of standard staggered quarks and the Wilson plaquette gauge action by employing the rational hybrid Monte Carlo algorithm Clark (2006). Simulations are performed on lattices with a fixed value of temporal extent Nτ=4N_{\tau}=4 and four different values of spatial size Nσ=8,16,20N_{\sigma}=8,16,20 and 24. Since the critical quark mass, where the first order chiral phase transition starts for this lattice setup is amc=am_{c}=0.027 Smith and Schmidt (2011), we choose the value of quark mass in lattice spacing amam to be 0.03 in our simulations such that the QCD transition is a crossover at vanishing magnetic field. The temperature, T=1/(aNτ)T=1/(aN_{\tau}) is varied through the relation between the lattice spacing aa and the inverse gauge coupling β\beta, and specifically temperature increases with the value of β\beta. The background U(1)U(1) magnetic field is implemented in a conventional way Al-Hashimi and Wiese (2009) and will be reviewed in the following subsection II.1. The relevant observables will be introduced in subsection II.2.

II.1 Magnetic fields on the lattice

Magnetic fields couple to quarks with their electric charges and through covariant derivative in the continuum,

Dμ=μigAμ+iqaμ,\displaystyle D_{\mu}=\partial_{\mu}-igA_{\mu}+iqa_{\mu}, (1)

where gg is the SU(3) gauge coupling and qq is the electric charge of a quark. AμA_{\mu} and aμa_{\mu} are gauge fields for SU(3) and U(1), respectively. On the lattice the background U(1)U(1) magnetic field is introduced by substituting the SU(3) link UμU_{\mu} by its product with the U(1) link uμu_{\mu} in the lattice Dirac operator,

D[U]D[uU].\displaystyle D[U]\to D[uU]. (2)

In our simulations the magnetic field only points along the zz-direction. Since the xxyy plane has boundaries for a finite system size, appropriate boundary conditions need to be imposed. Besides, the magnetic field is realized as a U(1) plaquette, and it introduces non-trivial conditions to the magnitude of the magnetic field as will be depicted next.

Let us denote the lattice size (Nx,Ny,Nz,Nt)(N_{x},\;N_{y},\;N_{z},\;N_{t}) and coordinate as nμ=0,,Nμ1n_{\mu}=0,\cdots,N_{\mu}-1 (μ=x,y,z,t\mu=x,\;y,\;z,\;t). The background magnetic field pointing along the zz-direction B=(0,0,B)\vec{B}=(0,0,B) is described by the link variable uμ(n)u_{\mu}(n) of the U(1) field, and uμ(n)u_{\mu}(n) is expressed as follows in the Landau gauge Al-Hashimi and Wiese (2009); Bali et al. (2012),

ux(nx,ny,nz,nt)\displaystyle u_{x}(n_{x},n_{y},n_{z},n_{t}) ={exp[iqa2BNxny](nx=Nx1)1(otherwise)\displaystyle=\begin{cases}\exp[-iqa^{2}BN_{x}n_{y}]\;\;&(n_{x}=N_{x}-1)\\ 1\;\;&(\text{otherwise})\\ \end{cases}
uy(nx,ny,nz,nt)\displaystyle u_{y}(n_{x},n_{y},n_{z},n_{t}) =exp[iqa2Bnx],\displaystyle=\exp[iqa^{2}Bn_{x}], (3)
uz(nx,ny,nz,nt)\displaystyle u_{z}(n_{x},n_{y},n_{z},n_{t}) =ut(nx,ny,nz,nt)=1.\displaystyle=u_{t}(n_{x},n_{y},n_{z},n_{t})=1.

The periodic boundary condition for U(1) links is applied for all directions except for the xx-direction. One-valuedness of the one-particle wave function along with a plaquette requires the following quantization,

a2qB=2πNbNxNy,\displaystyle a^{2}qB=\frac{2\pi N_{b}}{N_{x}N_{y}}, (4)

where Nb𝒁N_{b}\in{\boldsymbol{Z}} is the number of magnetic flux through the unit area for the xx-yy plane. The ultraviolet cutoff aa also introduces a periodicity of the magnetic field along with NbN_{b}. Namely, a range 0Nb<NxNy/40\leq N_{b}<{N_{x}N_{y}}/{4}, represents an independent magnitude of the magnetic field BB. In our simulations the 3 mass-degenerate flavors are of up, down and strange quark type, and thus two of the flavors have electrical charge of qd,s=e3q_{d,s}=-\frac{e}{3} and the rest one has qu=2e3q_{u}=\frac{2e}{3} with ee the electric charge of electron. Thus to satisfy the quantization condition Eq. 4 we take the electric charge qq to be that of down quark type, i.e. q=qd,s=e3q=q_{d,s}=-\frac{e}{3}. To simplify the notation we use b^\hat{b} expressed as follows to denote the magnetic field strength

b^aeB=6πNbNxNy.\displaystyle\hat{b}\equiv a\sqrt{eB}=\sqrt{\frac{6\pi N_{b}}{N_{x}N_{y}}}\,\,. (5)

We choose certain values of NbN_{b} such that b^\hat{b} are the same in physical units among various lattice sizes which are listed in Table 1.

NbN_{b} 0 8
b^\hat{b} 0 1.5

Nσ=8N_{\sigma}=8

NbN_{b} 0 32 56
b^\hat{b} 0.0 1.5 2.0

Nσ=16N_{\sigma}=16

NbN_{b} 0 50
b^\hat{b} 0.0 1.5

Nσ=20N_{\sigma}=20

NbN_{b} 0 72
b^\hat{b} 0.0 1.5

Nσ=24N_{\sigma}=24

Table 1: Number of magnetic flux NbN_{b} used in our simulations and the approximated values of b^aeB\hat{b}\equiv a\sqrt{eB} for Nσ=8N_{\sigma}=8, 16, 20 and 24.

Based on an earlier estimate of the pion mass in Nf=3N_{f}=3 QCD Karsch et al. (2001) we make a estimate of the scale at the pseudo-critical temperature Tpc0:=Tpc(b^=0)T_{pc}^{0}:=T_{pc}(\hat{b}=0). We find mπ280m_{\pi}\sim 280 MeV and mπ/Tpc01.77m_{\pi}/T_{pc}^{0}\simeq 1.77 at b^=0\hat{b}=0. The values of magnetic field strength for b^=1.5\hat{b}=1.5 and 2 thus correspond to eB/(Tpc0)236eB/(T_{pc}^{0})^{2}\simeq 36 and 64, i.e. eB11mπ2eB\sim 11\;m_{\pi}^{2} and eB20mπ2eB\sim 20\;m_{\pi}^{2}, respectively. We further note that the temperature in the explored β\beta-intervall [5.13,5.19] may change by approximately 2525 MeV, which would lead to corresponding changes in the magnetic field.

Our simulation parameters and statistics are summarized in Tab. 3 - 6. It is worth mentioning that for our largest lattices, i.e. with Nσ=24N_{\sigma}=24, we have performed simulations with a hot start (configuration with random elements) and a cold start (configuration with unit elements) to check metastable states around the transition temperature to overcome small tunnelling rates.

II.2 Observables

An expectation value for an operator O{O} for given gauge coupling β\beta, mass and magnetic flux Nb{N_{b}} is defined by,

Oβ,m,Nb\displaystyle\left\langle O\right\rangle_{\beta,m,N_{b}} =𝒟UPβ,m,Nb[U]O[U],\displaystyle=\int\mathcal{D}UP_{\beta,m,N_{b}}[U]\;{O}[U], (6)
Pβ,m,Nb[U]\displaystyle P_{\beta,m,N_{b}}[U] =1Zβ,m,Nbdet[D2/3[U,Nb]+m]1/4det[D-1/3[U,Nb]+m]2/4eSgauge[U;β],\displaystyle=\frac{1}{Z_{\beta,m,N_{b}}}\det\big{[}D_{\text{2/3}}[U,N_{b}]+m\big{]}^{1/4}\det\big{[}D_{\text{-1/3}}[U,N_{b}]+m\big{]}^{2/4}e^{-S_{\text{gauge}}[U;\beta]}, (7)

where DD is the standard staggered Dirac operator and its subscript indicates the electric charge of the related quark. The fractional power, e.g. 1/4 and 2/4, is due to the fourth root of staggered fermions in our simulations.

We measure the chiral condensate for a down type quark 111 In principle, we can average up, down and strange quark condensate, or up and down. However, we choose down condensate to avoid such arbitrariness.,

ψ¯ψ=14Nσ3NτTr1D1/3+m,\displaystyle\left\langle\overline{\psi}\psi\right\rangle=\frac{1}{4N_{\sigma}^{3}N_{\tau}}\left\langle\mathrm{Tr}\,\frac{1}{D_{-1/3}+m}\right\rangle, (8)

where Tr[]\mathrm{Tr}\,[\cdots] is a trace over color and space-time, and a factor of 44 in the denominator adjusts for taste degrees of freedom. Its disconnected susceptibility is given by

χdisc=116Nσ3Nτ[(Tr1D1/3+m)2Tr1D1/3+m2].\displaystyle\chi_{\text{disc}}=\frac{1}{16N_{\sigma}^{3}N_{\tau}}\left[\left\langle\left(\mathrm{Tr}\,\frac{1}{D_{-1/3}+m}\right)^{2}\right\rangle-\left\langle\mathrm{Tr}\,\frac{1}{D_{-1/3}+m}\right\rangle^{2}\right]. (9)

While chiral condensate and its susceptibility are related to chiral symmetry we also compute the Polyakov loop which is related to the deconfinement transition in a pure glue system

P=1VxTrtU4(t,x),P=\frac{1}{V}\left\langle\sum_{\vec{x}}\mathrm{Tr}\prod_{t}U_{4}(t,\vec{x})\right\rangle, (10)

and its susceptibility χP\chi_{\rm P}.

We will also analyse the Binder cumulants BMB_{M} of order parameters MM, e.g. the chiral condensateBinder (1981) and the Polyakov loop as well as the constructed order parameter from a mixture of the chiral condensate and the gauge action (cf. Eq. 13). BMB_{M} is defined as follows

BM(β,Nb)=(δM)4(δM)22,\displaystyle B_{M}(\beta,N_{b})=\frac{\langle(\delta M)^{4}\rangle}{\langle(\delta M)^{2}\rangle^{2}}\;, (11)

where δM=MM\delta M=M-\langle M\rangle gives the deviation of MM from its mean value on a given gauge field configuration. From different distributions of MM in different phases the value of BMB_{M} can be obtained and used to distinguish phase transitions. Given that the chiral condensate is the order parameter of the phase transition 222The same holds true for other order parameters., for a first order phase transition, Bψ¯ψ=1B_{\overline{\psi}\psi}=1 Ejiri (2008); for a crossover Bψ¯ψ3B_{\overline{\psi}\psi}\simeq 3 Ejiri (2008); for a second order transition belonging to a Z(2) universality class, Bψ¯ψ1.6B_{\overline{\psi}\psi}\simeq 1.6 Blote et al. (1995).

Since our lattice is rather coarse and simulated systems are in the proximity of transitions, we also estimate the effective number of independent configurations NeffN_{\text{eff}} given by

Neff=# of trajectories2τint,\displaystyle N_{\text{eff}}=\frac{\#\text{ of trajectories}}{2\tau_{\text{int}}}, (12)

where τint\tau_{\text{int}} is the integrated autocorrelation time 333 The autocorrelation time and its error are given in Appendix A where τint\tau_{\text{int}} are rounded in integer for simplicity. for the chiral condensate. Obtained results of τint\tau_{\text{int}} are listed in Appendix A. Hereafter we will show our results of various quantities in a dimensionless way, i.e. all in units of lattice spacing aa.

III Results

In the first subsection, we discuss the observables obtained from a fixed volume Nσ=16N_{\sigma}=16 and the history of the chiral condensate at vanishing and nonzero values of b^\hat{b}. In the second subsection, we study the volume dependences of chiral observables and the Polyakov loop as well as their susceptibilities at b^=0\hat{b}=0 and 1.51.5 obtained from lattices with NσN_{\sigma}=8, 16, 20 and 24. In the third subsection, we show results based on a appropriate order parameter constructed from a combination of the chiral condensate and the gluon action.

III.1 aeBa\sqrt{eB} dependence of observables obtained on Nσ=16N_{\sigma}=16 lattices

We show the chiral condensate and its disconnected susceptibility for b^=0,1.5\hat{b}=0,1.5 and 2 obtained from lattices with NσN_{\sigma}=16 as a function of the inverse gauge coupling β\beta in the left and right plot of Fig. 1, respectively. We recall that the temperature is an increasing function of β\beta. As seen from the left plot the value of the chiral condensate is enhanced by the magnetic field in the whole temperature region. Namely only the magnetic catalysis is observed. One can also see that the critical β\beta value where the chiral condensate drops most rapidly becomes larger as the magnetic field strength increases. This indicates that the transition temperature increases as the magnetic field becomes stronger. Meanwhile as the strength of the magnetic field increases the dropping of chiral condensates becomes more rapidly. This means that the transition becomes stronger with stronger magnetic fields. These two observations are also visible in the behaviour of disconnected chiral susceptibilities as shown in the right plot of Fig. 1. I.e. the peak location of disconnected chiral susceptibility shifts to a larger value of β\beta and the peak height of disconnected chiral susceptibility increases as the strength of magnetic field increases.

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Figure 1: The chiral condensate (left) and disconnected chiral susceptibility (right) at b^=0,\hat{b}=0, 1.5 and 2 obtained on lattices with Nσ=16N_{\sigma}=16 as a function of β\beta.
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Figure 2: Same as Fig. 1 but for the Polyakov loop and its susceptibility.

We show similar plots as Fig. 1 for the Polyakov loop and its susceptibility at b^=0,1.5\hat{b}=0,1.5 and 2 in Fig. 2. The peak location of the Polyakov loop susceptibility as well as the inflection point of the Polyakov loop shifts to larger values of β\beta, i.e. higher transition temperature with stronger magnetic field. This is similar to the observation from chiral observables. Besides that transition temperatures signalled by the Polyakov loop and its susceptibility are close to those obtained from chiral condensates and disconnected chiral susceptibility. What’s more, it is interesting to see that the peak height of the Polyakov loop susceptibility also becomes higher in a stronger magnetic field, although the Polyakov loop is an order parameter for the confinement-deconfinement phase transition of a pure glue system while the chiral condensate is the order parameter of QCD transitions with vanishing quark massless. This could be due to the fact that neither of these two quantities are the true order parameter but a part of the true order parameter in Nf=3N_{f}=3 QCD444Note that the peak height of Polyakov loop susceptibility also increases as the system approaches the first order phase transition region with smaller values of quark masses for the case of zero magnetic field strength b^=0\hat{b}=0 Karsch et al. (2001). Karsch et al. (2001); Bazavov et al. (2017).

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Figure 3: Monte Carlo time history of chiral condensates. The x axes are in units of trajectories of molecular dynamics. Top left: with b^=0\hat{b}=0 and Nσ=16N_{\sigma}=16. Top right: with b^=1.5\hat{b}=1.5 and Nσ=16N_{\sigma}=16. Bottom left: with b^=2\hat{b}=2 and Nσ=16N_{\sigma}=16. Bottom right: with b^=1.5\hat{b}=1.5 and Nσ=24N_{\sigma}=24.

At vanishing magnetic field the transition is a crossover, and as the magnetic field strength becomes larger the QCD transition becomes stronger. In particular the jumping behavior of the chiral condensate and the Polyakov loop at b^\hat{b}=2 is seen from left plots of Fig. 1 and Fig. 2. This might indicate a first order phase transition. We investigate the nature of the transition by further looking into the time history of chiral condensates. We show in Fig. 3 the time history of chiral condensates near the transition temperature at b^=0\hat{b}=0 (Top left), b^=1.5\hat{b}=1.5 (Top right) and b^=2\hat{b}=2 (Bottom left) on lattices with Nσ=16N_{\sigma}=16. As expected that at vanishing magnetic field (b^\hat{b}=0) there does not exist any metastable behavior, while in the case of b^=\hat{b}=1.5 and 2 the metastable behavior becomes obvious. To confirm the metastable behavior seen from the volume of NσN_{\sigma}=16, we also study the case of b^=\hat{b}=1.5 with a larger volume, i.e. on 243×424^{3}\times 4 lattices. Since in the first order phase transition the tunnelling rate between two metastable states becomes smaller in the larger volume, here we rather investigate on the time history of the chiral condensate obtained from two different kinds of streams, i.e. one starting from a unit configuration (cold) and the other one starting from a random configuration (hot). If there is no first order phase transition chiral condensates obtained from the cold and hot starts will always overlap after thermalization, and if there exist a first order phase transition the two steams from cold and hot starts will stay apart and tunnel from one to the other as the two metastable states in the first order phase transition. The former is observed for the case of β=5.1689\beta=5.1689 while the latter is clearly seen for β=5.1698\beta=5.1698.

In a short summary, above observations suggest that the transition tends to be a first order for magnetic fields of b^\hat{b}\geq1.5.

III.2 Volume dependences of observables with b^=0\hat{b}=0 and 1.51.5

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Figure 4: Volume dependences of chiral condensates (left column) and its disconnected susceptibilities (right column) at vanishing magnetic field (top two plots) and b^=\hat{b}=1.5 (bottom two plots).

In this subsection, we discuss more on the volume dependence of observables at b^=0\hat{b}=0 and 1.51.5 to further confirm the onset of the first order phase transition at b^1.5\hat{b}\geq 1.5. In Fig. 4 we show chiral condensates and their disconnected susceptibilities as a function of β\beta obtained from lattices with four different spatial sizes at b^=0\hat{b}=0 (Top two plots) and b^\hat{b}=1.5 (Bottom two plots). At vanishing magnetic field chiral condensates obtained from Nσ=16,N_{\sigma}=16, 20 and 24 are consistent among each other, while large deviations are seen for the results obtained from NσN_{\sigma}=8. In the case of b^\hat{b}=1.5 the finite size effect seems to appear at β\beta smaller and close to βc\beta_{c} starting with a larger volume, i.e. NσN_{\sigma}=16. This could be due to the fact that the system with the presence of a magnetic field tends to have a stronger transition and consequently more statistics is needed to get robust results 555Although we generated two times more configurations at b^\hat{b}=1.5, the effective configurations, however, is two times less than that at b^\hat{b}=0., and that the correlation length in the system becomes longer in the proximity of the true phase transition. Nevertheless, the point where chiral condensates drops most rapidly are consistent among various volumes for both vanishing and nonzero magnetic fields. The is also reflected in the peak locations of disconnected susceptibilities shown in the right column of Fig. 4. In the case of a first order phase transition the disconnected chiral susceptibility should grow linearly in volume. It is more or less the case for disconnected susceptibilities at b^\hat{b}=1.5 as seen from bottom right plot of Fig. 4 and Table 2. And as expected that in the case of vanishing magnetic field the disconnected susceptibility grows slower than linearly in volume as there exists a crossover transition.

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Figure 5: Binder cumulants of chiral condensate at zero magnetic field (left) and nonzero magnetic field of b^=\hat{b}=1.5 (right).

We show Binder cumulants of chiral condensates at b^=0\hat{b}=0 and 1.5 in the left and right plot of Fig. 5, respectively. One can see that at the critical β\beta where χdisc\chi_{\rm disc} peaks the Binder cumulant reaches to its minimum, which is almost independent of volume at b^=0\hat{b}=0 and only starts to saturate with NσN_{\sigma}\geq 20 at b^\hat{b}=1.5. In nonzero magnetic fields the minimum values of Binder cumulant become smaller, i.e. shifting from about 1.6 in the vanishing magnetic field to about 1. This indicates that the transition becomes stronger and tends to become a first order phase transition region at b^\hat{b}=1.5. This is consistent with what we found from chiral condensates and its susceptibilities.

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Figure 6: Same as Fig. 4 but for the Polyakov loop and its susceptibility.
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Figure 7: Same as Fig. 5 but for the Polyakov loop.

We show similar figures as Fig. 4 and Fig. 5 for Polyakov loops in Fig. 6 and Fig. 7. The observation is similar to that from chiral observables. The volume dependences of Polyakov loops and corresponding susceptibilities are similar to those of chiral observables. Besides, the value for the Binder cumulant has the same tendency. The peak heights of susceptibilities and the minimum values of Binder cumulants for the chiral condensate and the Polyakov loop are summarized in Tab. 2.

NσN_{\sigma} aeBa\sqrt{eB} βc\beta_{\text{c}} χdisc(βc)\chi_{\text{disc}}(\beta_{\text{c}}) Bψψ¯(βc)B_{\psi\overline{\psi}}(\beta_{\text{c}}) χP(βc)\chi_{\text{P}}(\beta_{\text{c}}) BP(βc)B_{\text{P}}(\beta_{\text{c}})
8 0 5.1450 4.1(1) 1.65(3) 5.1(1) 1.87(3)
16 0 5.1438 13.0(9) 1.90(9) 15(1) 2.03(9)
20 0 5.1435 21(2) 1.7(1) 25(2) 1.7(1)
24 0 5.1438 29(4) 1.88(4) 33(4) 1.96(2)
8 1.5 5.1710 6.2(2) 1.57(3) 7.1(2) 1.70(3)
16 1.5 5.1690 34(3) 1.62(5) 38(4) 1.57(4)
20 1.5 5.1700 68(7) 1.24(4) 75(8) 1.26(4)
24 1.5 5.1699 105(11) 1.15(2) 115(13) 1.173(3)
Table 2: Values of disconnected chiral susceptibility χdisc\chi_{\rm disc}, Polyakov loop susceptibility χP\chi_{\rm P}, and the Binder cumulants for the chiral condensate and the Polyakov loop at b^=0\hat{b}=0 and 1.5. βc\beta_{\text{c}} is the value of β\beta where χdisc(β)\chi_{\text{disc}}(\beta) peaks.

III.3 Binder cumulants and disconnected susceptibilities of the order parameter

In the vicinity of a critical point in 3-flavor QCD, the chiral condensate itself is not a true order parameter, but is part of a mixture of operators that defines the true order parameter MM Karsch et al. (2001); Bazavov et al. (2017). In three flavor QCD, such an order parameter can be constructed as a combination of the plaquette action and the chiral condensate as follows Karsch et al. (2001); Bazavov et al. (2017)

M(β,s)=ψ¯ψ(β)+s1Nσ3NτSgauge(β),\displaystyle M(\beta,s)={\overline{\psi}\psi}(\beta)+s\,\frac{1}{N_{\sigma}^{3}N_{\tau}}S_{\text{gauge}}(\beta), (13)

where Sgauge=6Nσ3NτP~S_{\text{gauge}}=6N_{\sigma}^{3}N_{\tau}\tilde{P} and P~\tilde{P} is the plaquette. Correspondingly, its susceptibility is,

χmixed=116Nσ3Nτ[(M(β,s))2M(β,s)2].\displaystyle\chi_{\text{mixed}}=\frac{1}{16N_{\sigma}^{3}N_{\tau}}\left[\left\langle\left(M(\beta,s)\right)^{2}\right\rangle-\left\langle M(\beta,s)\right\rangle^{2}\right]. (14)

In this work, we do not intend to determine the mixing parameter ss and just use the value obtained in the previous work for aeB=0a\sqrt{eB}=0 in Smith and Schmidt (2011), i.e. s=0.8s=-0.8. As will be seen next the results obtained using s=0.8s=-0.8 does not change from s=0s=0 qualitatively (cf. Table 2).

Refer to caption
Refer to caption
Figure 8: Left: χmixed\chi_{\text{mixed}} divided by spatial volume (left) and Binder cumulant of MM at β=βc\beta=\beta_{c} obtained with s=0.8s=-0.8 at b^=0\hat{b}=0 and 1.5 as a function of the inverse spatial volume represented by (Nτ/Nσ)3(N_{\tau}/N_{\sigma})^{3}.

We show in the left panel of Fig. 8 the order parameter susceptibility χmixed\chi_{\text{mixed}} divided by the spatial volume at b^=0\hat{b}=0 and 1.5. If the phase transition is of a first order χmixed\chi_{\text{mixed}} divided by the spatial volume should be a constant in volume. It is clearly seen that at b^\hat{b}=1.5 data points obtained from lattices with different volumes all overlap at about 0.015 which holds true also towards the infinite volume limit of (Nτ/Nσ)30(N_{\tau}/N_{\sigma})^{3}\rightarrow 0, while it is not the case for b^=0\hat{b}=0. The Binder cumulant of the order parameter is shown in the right panel of Fig. 8. Data points for b^=0\hat{b}=0 are close the 2\mathbb{Z}_{2} line, so it seems to belong to a weak second order or crossover transition in the thermodynamic limit. On the other hand, data points for b^=1.5\hat{b}=1.5 approach 1 towards the infinite volume limit of (Nτ/Nσ)30(N_{\tau}/N_{\sigma})^{3}\rightarrow 0. This is again consistent with the behavior in the first-order phase transition.

In summary, we conclude that the system with am=0.03am=0.03 with magnetic fields aeBa\sqrt{eB}\geq1.5 (eB11mπ2eB\gtrsim 11m_{\pi}^{2}) exists a first order phase transition.

IV Conclusion

We have investigated the chiral phase structure of three flavor QCD in the magnetic field. The simulations are performed with 3-mass degenerate flavors of standard staggered quark and the Wilson plaquette gauge action on Nτ=4N_{\tau}=4 lattices. We started with simulations at a fixed quark mass of am=0.03am=0.03 at vanishing magnetic field where a crossover transition is observed. After turning on the magnetic field we studied dependences of chiral observables, i.e. chiral condensates and corresponding susceptibilities as well as Polyakov loops on the magnetic field strength. We found that chiral condensates increase with the magnetic field strength, namely magnetic catalyses in the whole temperature window. And transition temperatures determined from both chiral condensates and Ployakov loops as well as their susceptibilities increase with increasing magnetic field strength. From the dropping behavior of chiral condensates and Polyakov loops near the transition temperature and the peak heights of susceptibilities we found that the strength of transition increases with increasing magnetic field strength. We thus checked the time history of the chiral condensate, and the metastable behavior of chiral condensates is observed at aeB1.5a\sqrt{eB}\geq 1.5. This indicates a first order phase transition occurring to systems at aeB1.5a\sqrt{eB}\geq 1.5. We further investigate a more appropriate order parameter which is constructed from the chiral condensate and the plaquette gauge action. We studied the volume dependence of order parameter susceptibility and the Binder cumulant of the order parameter, and confirmed that there exists a first order phase transition at aeB1.5a\sqrt{eB}\geq 1.5. Based on the earlier estimate we find that aeB1.5a\sqrt{eB}\geq 1.5 corresponds to eB/mπ211eB/m_{\pi}^{2}\gtrsim 11 with the pion mass at zero magnetic field mπ280m_{\pi}\sim 280 MeV.

We do not find any signs of inverse magnetic catalysis and the reduction of transition temperature as a function of the magnetic field strength, and this is consistent with the results obtained from lattice studies of Nf=2N_{f}=2 QCD with the standard staggered quarks and larger-than-physical pions D’Elia et al. (2010); D’Elia and Negro (2011). Since our findings of magnetic catalysis and increasing of transition temperature with the magnetic field strength even holds in the regime occurring a first order phase transition this suggests that the discrepancy from results using the improved staggered fermions with physical pions is mainly due to the lattice cutoff effects.

It is worth recalling that in the case of lattice studies using improved staggered fermions the strength of transition also increases with increasing magnetic field strength and a first order phase transition has not yet been observed in such studies. Although we find a first order phase transition in the current study using the standard staggered fermions, we do not intend to provide a precise determination of a critical magnetic field in which the transition turns into a first/second order phase transition in the current discretization scheme. We will leave it for future studies using improved staggered fermions, such as HISQ fermions to achieve more realistic results on the chiral phase structure of Nf=3N_{f}=3 QCD Tomiya et al. (2019). As in current studies severe critical slowing down is expected for simulations in the vicinity of phase transitions with larger volumes (see Appendix A), the autocorrelation length will probably become even longer in simulations with smaller lattice spacings or improved actions, in which the multicanonical method Berg and Neuhaus (1992); Bonati et al. (2018) or other extended Monte Carlo method reviewed in Iba (2001) might help.

Acknowledgement

We thank Swagato Mukherjee for the early involvement of the work as well as enlightening discussions. This work was supported by the NSFC under grant no. 11535012 and no. 11775096, RIKEN Special Postdoctoral Researcher program, Deutsche Forschungsgemeinschaft project number 315477589 – TRR 211 and European Union H2020-MSCA-ITN-2018-813942 (EuroPLEx). The numerical simulations have been performed on the GPU cluster in the Nuclear Science Computing Center at Central China Normal University (NSC3).

Appendix A Autocorrelation time

Here we explain the autocorrelation time to make this paper self-contained. A sequence of configurations are affected by the autocorrelation, which is evaluated by the autocorrelation function. However, the autocorrelation function itself is a statistical object, so we cannot determine it exactly. Instead we calculate the approximated autocorrelation function Wolff (2004); Madras and Sokal (1988) defined by,

Γ¯(τ)=1NtrjτcNtrj(OcO¯)(Oc+τO¯),\displaystyle\overline{\Gamma}(\tau)=\frac{1}{{N_{\text{trj}}}-\tau}\sum_{c}^{N_{\text{trj}}}(O_{c}-\overline{O})(O_{c+\tau}-\overline{O}), (15)

where Oc=O[U(c)]O_{c}=O[U^{(c)}] is the value of operator OO for the cc-th configuration U(c)U^{(c)} and τ\tau is the fictitious time of HMC. Ntrj{N_{\text{trj}}} is the number of trajectories. Conventionally, the normalized autocorrelation function ρ¯(τ)=Γ¯(τ)/Γ¯(0)\overline{\rho}(\tau)=\overline{\Gamma}(\tau)/\overline{\Gamma}(0) is used.

The integrated autocorrelation time τint\tau_{\text{int}} approximately quantifies effects of autocorrelation. This is given by,

τint=12+τ=1Wρ¯(τ).\displaystyle\tau_{\text{int}}=\frac{1}{2}+\sum^{W}_{\tau=1}\overline{\rho}(\tau). (16)

We can regard two configurations separated by 2τint2\tau_{\text{int}} as independent. In practice, we determine a window size WW as a first point W=τW=\tau, where Γ¯(τ)<0\overline{\Gamma}(\tau)<0 for the smallest τ\tau. The statistical error of integrated autocorrelation time is estimated by the Madras–Sokal formula Madras and Sokal (1988); Luscher (2005),

δτint24W+2Ntrjτint2,\displaystyle\left\langle\delta\tau_{\text{int}}^{2}\right\rangle\simeq\frac{4W+2}{{N_{\text{trj}}}}\tau_{\text{int}}^{2}, (17)

and we use the square root of (17) for an estimate of the error on the autocorrelation time, δτint2Δτint\sqrt{\left\langle\delta\tau_{\text{int}}^{2}\right\rangle}\equiv\Delta\tau_{\text{int}}.

Appendix B Critical slowing down

Refer to caption
Figure 9: The largest autocorrelation as a function of the spatial size NσN_{\sigma} at b^aeB=0\hat{b}\equiv a\sqrt{eB}=0 and 1.5.

The estimated autocorrelation length for the chiral condensate and the number of independent configurations are listed in Tab. 4 and Tab. 6. It can be observed that the autocorrelation time becomes longer in the presence of a magnetic field. This is due to the fact that the system is close to the critical region as discussed in the main text.

In Fig. 9, we estimate the dynamic critical exponent of the system by using the longest autocorrelation length in each volume. A fit ansatz of logτint(Nσ)=zlogNσ+c\log\tau_{\text{int}}(N_{\sigma})=z\log N_{\sigma}+c with fit parameters zz and cc is adopted and this fit ansatz is the same form as τint(Nσ)Nσz\tau_{\text{int}}(N_{\sigma})\sim N_{\sigma}^{z}, which is the definition of the dynamic critical exponent. One can see that the system is affected by severe critical slowing down at b^a2eB=1.5\hat{b}\equiv\sqrt{a^{2}eB}=1.5. It is thus practically challenging to investigate the first-order phase transition by using conventional direct simulations with HMC in the thermodynamic limit.

Appendix C Summary of statistics

We summarize our simulation parameters and statistics in Tab. 3 - 6. If the statistics is sufficient the binning size for the Jackknife analysis is taken as the Bin-size2τint\text{Bin-size}\gtrsim 2\tau_{\text{int}}, otherwise the Bin-size is adjusted such that it is the divisor of number of trajectories by around 10. In the latter case, the error might be underestimated.

NσN_{\sigma} β\beta NbN_{b} Bin-size τint\tau_{\text{int}} Δτint\Delta\tau_{\text{int}} Traj. NeffN_{\text{eff}}
8 5.1300 00 500 73 12 49000 334
8 5.1350 00 500 87 14 43000 246
8 5.1400 00 500 189 49 46000 122
8 5.1412 00 500 224 62 49500 110
8 5.1425 00 500 198 54 49500 125
8 5.1438 00 500 141 30 40500 144
8 5.1450 00 500 194 48 49000 126
8 5.1500 00 600 247 83 49200 100
8 5.1550 00 500 145 55 49000 169
8 5.1600 00 500 27 3 49000 920
NσN_{\sigma} β\beta NbN_{b} Bin-size τint\tau_{\text{int}} Δτint\Delta\tau_{\text{int}} Traj. NeffN_{\text{eff}}
8 5.1600 08 500 78 14 48500 310
8 5.1640 08 500 159 34 50500 159
8 5.1650 08 500 200 54 50500 126
8 5.1670 08 500 275 72 50500 92
8 5.1680 08 1000 233 58 50000 107
8 5.1690 08 1000 279 72 50000 90
8 5.1700 08 1500 690 481 49500 36
8 5.1710 08 500 207 44 50500 122
8 5.1720 08 600 301 86 50400 84
8 5.1730 08 500 248 66 50500 102
8 5.1740 08 500 202 52 50500 125
8 5.1750 08 500 274 90 50500 92
8 5.1800 08 500 76 13 50500 331
Table 3: Statistics for Nσ=8N_{\sigma}=8. Trajectories for thermalization are already discarded. Here one trajectory denotes one time unit in the molecular dynamics.
NσN_{\sigma} β\beta NbN_{b} Bin-size τint\tau_{\text{int}} Δτint\Delta\tau_{\text{int}} Traj. NeffN_{\text{eff}}
16 5.1300 00 500 24 4 9500 201
16 5.1350 00 500 28 5 9500 172
16 5.1400 00 500 193 46 41500 107
16 5.1412 00 2000 636 270 38000 30
16 5.1425 00 1000 447 150 41000 46
16 5.1438 00 1000 396 117 40000 50
16 5.1450 00 500 190 47 40500 107
16 5.1475 00 500 97 19 37500 193
16 5.1500 00 500 42 6 38500 453
16 5.1550 00 500 25 5 7000 142
16 5.1600 00 500 22 5 7000 163
NσN_{\sigma} β\beta NbN_{b} Bin-size τint\tau_{\text{int}} Δτint\Delta\tau_{\text{int}} Traj. NeffN_{\text{eff}}
16 5.1600 32 500 40 8 29500 373
16 5.1640 32 500 36 4 47500 659
16 5.1650 32 500 60 12 36000 298
16 5.1660 32 500 55 8 41000 375
16 5.1670 32 500 100 25 42500 212
16 5.1673 32 500 94 16 97500 518
16 5.1675 32 500 136 21 97500 358
16 5.1680 32 2000 630 169 102000 81
16 5.1685 32 4000 1600 722 96000 30
NσN_{\sigma} β\beta NbN_{b} Bin-size τint\tau_{\text{int}} Δτint\Delta\tau_{\text{int}} Traj. NeffN_{\text{eff}}
16 5.1690 32 7000 3635 1925 140000 19
16 5.1695 32 3000 1406 635 57000 20
16 5.1700 32 8000 4481 3263 144000 16
16 5.1710 32 500 265 56 97500 184
16 5.1720 32 500 92 26 27500 150
16 5.1730 32 500 63 13 27500 219
16 5.1740 32 500 60 17 27500 230
16 5.1750 32 500 38 6 27500 360
16 5.1800 32 500 55 16 27500 249
NσN_{\sigma} β\beta NbN_{b} Bin-size τint\tau_{\text{int}} Δτint\Delta\tau_{\text{int}} Traj. NeffN_{\text{eff}}
16 5.1700 56 100 21 8 1500 36
16 5.1750 56 100 26 13 1500 29
16 5.1760 56 100 32 7 9000 140
16 5.1770 56 100 47 12 9000 96
16 5.1780 56 150 53 5 99000 939
16 5.1790 56 150 70 9 81450 580
16 5.1800 56 500 70 12 45500 325
16 5.1810 56 500 195 35 95500 245
16 5.1820 56 2500 1166 412 95000 41
16 5.1822 56 2000 142 51 42000 148
16 5.1824 56 7000 4641 3642 91000 10
16 5.1826 56 8000 3890 2340 88000 11
16 5.1828 56 9000 4820 3223 90000 9
16 5.1830 56 8000 3923 2693 72000 9
16 5.1840 56 100 865 393 49000 28
16 5.1850 56 100 59 24 8900 75
16 5.1900 56 100 23 8 1900 41
Table 4: Same as Table 3 but for Nσ=16N_{\sigma}=16.
NσN_{\sigma} β\beta NbN_{b} Bin-size τint\tau_{\text{int}} Δτint\Delta\tau_{\text{int}} Traj. NeffN_{\text{eff}}
20 5.1400 00 200 106 18 50800 240
20 5.1430 00 500 237 68 29500 62
20 5.1435 00 1500 764 353 30000 20
20 5.1440 00 1300 682 358 29900 22
20 5.1450 00 1000 537 244 30000 28
20 5.1460 00 300 184 51 30600 83
NσN_{\sigma} β\beta NbN_{b} Bin-size τint\tau_{\text{int}} Δτint\Delta\tau_{\text{int}} Traj. NeffN_{\text{eff}}
20 5.1650 50 200 68 9 95200 696
20 5.1690 50 5000 8327 7256 90000 5
20 5.1695 50 3000 1750 1157 39000 11
20 5.1698 50 7000 5680 6450 35000 3
20 5.1700 50 5000 4919 4950 40000 4
20 5.1710 50 150 291 78 66750 115
20 5.1750 50 100 39 10 7800 99
Table 5: Same as Table 3 but for Nσ=20N_{\sigma}=20.
NσN_{\sigma} β\beta NbN_{b} Bin-size τint\tau_{\text{int}} Δτint\Delta\tau_{\text{int}} Traj. NeffN_{\text{eff}}
24 5.1400 00 500 168 129 7500 22
24 5.1412 00 500 105 41 6500 31
24 5.1425 00 1000 537 280 46900 44
24 5.1438 00 4000 2171 1269 78000 18
24 5.1450 00 500 176 38 74500 211
24 5.1475 00 500 82 34 6500 40
NσN_{\sigma} β\beta NbN_{b} Bin-size τint\tau_{\text{int}} Δτint\Delta\tau_{\text{int}} Traj. NeffN_{\text{eff}}
24 5.1650 72 500 79 17 29500 187
24 5.1680 72 500 102 17 47500 232
24 5.1690 72 1000 215 28 180000 419
24 5.1695 72 1500 174 26 102000 293
24 5.1698 72 4000 4387 3022 76000 9
24 5.1699 72 2000 2535 2917 14600 3
24 5.1700 72 15000 8542 5236 186000 11
24 5.1710 72 1000 111 25 42500 191
24 5.1720 72 500 77 11 69500 453
24 5.1730 72 500 111 29 51500 232
24 5.1750 72 500 50 6 48000 481
Table 6: Same as Table 3 but for Nσ=24N_{\sigma}=24.

References