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Electron Firehose Instabilities in High-β\beta Intracluster Shocks

Sunjung Kim Department of Physics, School of Natural Sciences UNIST, Ulsan 44919, Korea Ji-Hoon Ha Department of Physics, School of Natural Sciences UNIST, Ulsan 44919, Korea Dongsu Ryu Department of Physics, School of Natural Sciences UNIST, Ulsan 44919, Korea Hyesung Kang Department of Earth Sciences, Pusan National University, Busan 46241, Korea Dongsu Ryu [email protected]
Abstract

The preacceleration of electrons through reflection and shock drift acceleration (SDA) is essential for the diffusive shock acceleration (DSA) of nonthermal electrons in collisionless shocks. Previous studies suggested that, in weak quasi-perpendicular (QQ_{\perp}) shocks in the high-β\beta (β=Pgas/PB\beta=P_{\rm gas}/P_{\rm B}) intracluster medium (ICM), the temperature anisotropy due to SDA-reflected electrons can drive the electron firehose instability, which excites oblique nonpropagating waves in the shock foot. In this paper, we investigate, through a linear analysis and particle-in-cell (PIC) simulations, the firehose instabilities driven by an electron temperature anisotropy (ETAFI) and also by a drifting electron beam (EBFI) in β100\beta\sim 100 ICM plasmas. The EBFI should be more relevant in describing the self-excitation of upstream waves in QQ_{\perp}-shocks, since backstreaming electrons in the shock foot behave more like an electron beam rather than an anisotropic bi-Maxwellian population. We find that the basic properties of the two instabilities, such as the growth rate, γ\gamma, and the wavenumber of fast-growing oblique modes are similar in the ICM environment, with one exception; while the waves excited by the ETAFI are nonpropagating (ωr=0\omega_{r}=0), those excited by the EBFI have a non-zero frequency (ωr0\omega_{r}\neq 0). However, the frequency is small with ωr<γ\omega_{r}<\gamma. Thus, we conclude that the interpretation of previous studies for the nature of upstream waves based on the ETAFI remains valid in QQ_{\perp}-shocks in the ICM.

acceleration of particles – instabilities – galaxies: clusters: intracluster medium – methods: numerical – shock waves
journal: The Astrophysical Journal

1 Introduction

In the current Λ\LambdaCDM cosmology, galaxy clusters emerge through hierarchical clustering, and the ensuing supersonic flow motions generate shock waves in the intracluster medium (ICM) (e.g., Minati et al., 2000; Ryu et al., 2003; Pfrommer et al., 2006; Skillman et al., 2008; Vazza et al., 2009; Hong et al., 2014; Schaal & Volker, 2015). Among the ICM shocks, the merger shocks, induced during mergers of sub-clusters, are the most energetic; they form in almost virial equilibrium and hence are weak with low sonic Mach numbers of Ms4M_{\rm s}\lesssim 4 (e.g., Ha et al., 2018). As in most astrophysical shocks, cosmic ray (CR) protons and electrons are expected to be accelerated via diffusive shock acceleration (DSA) in these ICM shocks (e.g., Bell, 1978; Blandford & Ostriker, 1978; Drury, 1983; Brunetti & Jones, 2014). From observations of the so-called radio relics (e.g., van Weeren et al., 2010, 2012), in particular, the electron acceleration is inferred to operate in low Mach number, quasi-perpendicular (QQ_{\perp}, hereafter) shocks with θBn45\theta_{\rm Bn}\gtrsim 45^{\circ} in the hot ICM (see van Weeren et al., 2019, for a review). Here, θBn\theta_{\rm Bn} is the obliquity angle between the background magnetic field and the shock normal.

The preacceleration of electrons is one of the long-standing unsolved problems in the theory of DSA (e.g., Marcowith et al., 2016). Thermal electrons need to be energized to suprathermal energies (peafew×pth,pp_{e}\gtrsim{\rm a~{}few}\times p_{\rm th,p}) in order to be injected to the DSA process, because the full DSA requires the diffusion of CR electrons both upstream and downstream across the shock and the width of the shock transition region is comparable to the ion gyroradius. Here, pth,p=(2mpkBT2)1/2p_{\rm th,p}=(2m_{p}k_{B}T_{2})^{1/2} is the proton thermal momentum in the postshock gas of temperature T2T_{2}, mpm_{p} is the proton mass, and kBk_{B} is the Boltzmann constant. The electron injection, which is known to be effective mainly at QQ_{\perp}-shocks (e.g., Gosling et al., 1980; Burgess, 2007), involves the following key elements: (1) the reflection of incoming ions and electrons at the shock ramp due to magnetic mirror forces, leading to backstreaming, (2) the energy gain from the motional electric field in the upstream region through shock drift acceleration (SDA) or shock surfing acceleration (SSA), and/or through interactions with waves, and (3) the trapping of electrons near the shock due to the scattering by the upstream waves, excited by backstreaming ions and electrons, which allows multiple cycles of SDA or SSA (Amano & Hoshino, 2009; Riquelme & Spitkovsky, 2011; Matsukiyo et al., 2011; Matsumoto et al., 2012; Guo et al., 2014a, b; Kang et al., 2019). The injection problem can be followed from first principles only through particle-in-cell (PIC) simulations, which fully treat kinetic microinstabilities and wave-particle interactions on both ion and electron scales around the shock transition.

Self-generated upstream waves play an important role in the electron preacceleration, because in the absence of scattering by the upstream waves, the energization of electrons would be terminated after one SDA cycle. Plethora of plasma instabilities can be destabilized in the shock foot, depending on the shock parameters, such as the plasma beta, β=Pgas/PB\beta=P_{\rm gas}/P_{\rm B} (the ratio of the gas to magnetic pressures), the sonic Mach number MsM_{\rm s}, the Alfvén Mach numbers, MAM_{\rm A} (MA=βΓ/2MsM_{\rm A}=\sqrt{\beta\Gamma/2}M_{\rm s} where Γ=5/3\Gamma=5/3 is the gas adiabatic index), the obliquity angle, θBn\theta_{\rm Bn}, and the adopted ion-to-electron mass ration, mp/mem_{p}/m_{e}111We use the term ‘ion’ to represent the positively charged particle with a range of mp/me=1001836m_{p}/m_{e}=100-1836. But we use the subscript pp to denote the ion population, since the subscript ii is used for the coordinate component. (e.g. Matsukiyo & Scholer, 2006; Balogh & Truemann, 2013). Early PIC simulation studies centered on high Mach number shocks in β1\beta\sim 1 plasmas, characterizing the Earth bow shock in the solar wind and supernova blast waves in the interstellar medium. For instance, Amano & Hoshino (2009) and Matsumoto et al. (2012) found that at high MAM_{\rm A} (specifically, MA>(mp/me)2/3M_{\rm A}>(m_{p}/m_{e})^{2/3}) QQ_{\perp}-shocks in β1\beta\approx 1 plasmas, the drift between reflected ions and incoming electrons triggers the Buneman instability, which excites large-amplitude electrostatic waves. Then, backstreaming electrons are scattered by these waves and gain energies via multiple cycles of SSA at the leading edge of the shock foot. On the other hand, Riquelme & Spitkovsky (2011) argued that at low MAM_{\rm A} (with MA(mp/me)1/2M_{\rm A}\lesssim(m_{p}/m_{e})^{1/2}) QQ_{\perp}-shocks in β1\beta\approx 1 plasmas, modified two-stream instabilities can excite oblique whistler waves and electrons gain energies via wave-particle interactions with those whistlers in the shock foot. Matsukiyo et al. (2011) also considered MA58M_{\rm A}\approx 5-8, QQ_{\perp}-shocks in β3\beta\approx 3 plasmas, and showed that reflected electrons are energized through SDA.

The ICM, which is composed of the hot gas of a few to several keV and the magnetic fields of the order of μ\muG, on the other hand, contains plasmas of β100\beta\sim 100 (e.g., Ryu et al., 2008; Brunetti & Jones, 2014; Porter et al., 2015). Hence, although ICM shocks are weak with low sonic Mach numbers of Ms4M_{\rm s}\lesssim 4, they have relatively high Alfvén Mach numbers of up to MA40M_{\rm A}\lesssim 40. To understand the electron acceleration at ICM shocks, Guo et al. (2014a, b) performed two-dimensional (2D) PIC simulations of Ms=3M_{\rm s}=3, QQ_{\perp}-shocks in β=6200\beta=6-200 plasmas with kBT=86k_{B}T=86 keV. They argued that the temperature anisotropy (Te>TeT_{e\parallel}>T_{e\perp}) due to reflected electrons, backstreaming along the background magnetic fields with small pitch angles, derives the electron firehose instability (EFI, hereafter), which excites mainly nonpropagating oblique waves in the shock foot. Here, TeT_{e\parallel} and TeT_{e\perp} are the electron temperatures, parallel and perpendicular to the background magnetic field, respectively. The SDA-reflected electrons222The SDA-reflected electrons mean those that are energized by SDA in the course of reflection. are scattered back and forth between the magnetic mirror at the shock ramp and the EFI-driven upstream waves, but they are still suprathermal and do not have sufficient energies to diffuse downstream across the shock transition. On the other hand, Trotta & Burgess (2019) and Kobzar et al. (2019) have recently shown through 2D and 3D plasma simulations of supercritcal QQ_{\perp}-shocks that shock surface ripplings generate multi-scale perturbations that can facilitate the electron acceleration beyond the injection momentum.

Kang et al. (2019, KRH19, hereafter) revisited this problem with wider ranges of shock parameters that are more relevant to ICM shocks, Ms=2.03.0M_{\rm s}=2.0-3.0, β=50100\beta=50-100, and kBT=8.6k_{B}T=8.6 keV. They showed that the electron preacceleration through the combination of reflection, SDA, and EFI may operate only in supercritical, QQ_{\perp}-shocks with Ms2.3M_{\rm s}\gtrsim 2.3. In addition, they argued that the EFI alone may not energize the electrons all the way to the injection momentum, pinj130pth,ep_{\rm inj}\sim 130p_{\rm th,e} (where pth,e=(2mekBT2)1/2p_{\rm th,e}=(2m_{e}k_{B}T_{2})^{1/2}), unless there are pre-existing turbulent waves with wavelengths longer than those of the EFI-driven waves (λ20c/ωpe\lambda\gtrsim 20c/\omega_{pe}, where cc is the speed of light and ωpe\omega_{pe} is the electron plasma frequency). Analyzing self-excited waves in the shock foot, they found that (1) nonpropagating oblique waves with λ1520c/ωpe\lambda\sim 15-20c/\omega_{pe} are dominantly excited, (2) the waves decay to those with longer wavelengths and smaller propagation angle, θ=cos1(𝐤𝐁0/kB0)\theta=\cos^{-1}(\mathbf{k}\cdot\mathbf{B}_{0}/kB_{0}), the angle between the wavevector, 𝐤\mathbf{k}, and the background magnetic field 𝐁0\mathbf{B}_{0}, and (3) the scattering of electrons by those waves reduces the temperature anisotropy. These findings are consistent with previous works on EFI using linear analyses and PIC simulations (e.g., Gary & Nishimura, 2003; Camporeale & Burgess, 2008; Hellinger et al., 2014).

The EFI in homogeneous, magnetized, collisionless plasmas has been extensively studied in the space-physics community as a key mechanism that constrains the electron anisotropy in the solar wind (see Gary, 1993, for a review). It comes in the following two varieties: (1) the electron temperature-anisotropy firehose instability (ETAFI, hereafter), driven by a temperature anisotropy, Te>TeT_{e\parallel}>T_{e\perp} (e.g. Gary & Nishimura, 2003; Camporeale & Burgess, 2008; Hellinger et al., 2014), and (2) the electron beam firehose instability (EBFI, hereafter), also known as the electron heat flux instability, induced by a drifting beam of electrons (e.g. Gary, 1985; Saeed et al., 2017; Shaaban et al., 2018). In the EBFI, the bulk kinetic energy of electrons is the free energy that drives the instability. In the linear analyses of these instabilities, typically ions are represented by an isotropic Maxwellian velocity distribution function (VDF, hereafter) with TpT_{\rm p}, while electrons have different distributions, that is, either a single anisotropic bi-Maxwellian VDF with Te>TeT_{e\parallel}>T_{e\perp} for the ETAFI, or two isotropic Maxwellian VDFs (i.e., the core with TcT_{\rm c} and the beam with TbT_{\rm b}) with a relative drift speed, urelu_{\rm rel}, for the EBFI.

The main findings of the previous studies of the ETAFI can be summarized as follows (see, e.g., Gary & Nishimura, 2003). (1) The threshold condition of the instability decreases with increasing βe\beta_{\rm e}, approximately as (TeTe)/Te1.3βe1(T_{e\parallel}-T_{e\perp})/T_{e\parallel}\gtrsim 1.3~{}\beta_{\rm e}^{-1}. (2) The instability induces two branches, i.e., the parallel (θ0\theta\approx 0^{\circ}), nonresonant, propagating (ωr0\omega_{r}\neq 0) mode and the oblique (θ0\theta\gg 0^{\circ}), resonant, nonpropagating (ωr=0\omega_{r}=0) mode. The propagating mode is left-hand (LH) polarized. The latter, nonpropagating mode has the growth rate higher than the former. (3) The perturbed magnetic field of the nonpropagating mode is dominantly along the direction perpendicular to both 𝐤\mathbf{k} and 𝐁𝟎\mathbf{B_{0}}. (4) The oblique nonpropagating modes decay to the propagating modes of smaller wavenumbers and smaller angles. (5) The ETAFI-induced waves scatter electrons, resulting in the reduction of the electron temperature anisotropy and the damping of the waves.

For the case of the electron heat flux instability (i.e., the EBFI), the parallel-propagating (θ=0\theta=0^{\circ}) mode was analyzed before, and is known to have two branches, that is, the right-hand (RH) polarized whistler mode and the LH polarized firehose mode (Gary, 1993). The firehose mode becomes dominant at sufficiently large drift speeds (Gary, 1985). Although the oblique (θ0\theta\neq 0^{\circ}) mode has not been sufficiently examined in the literature so far, it is natural to expect that the oblique mode would have the growth rate larger than the parallel mode, similarly as in the case of the ETAFI (Saeed et al., 2017). Recently, Shaaban et al. (2018) studied the electron heat flux instability driven by a drifting beam of anisotropic bi-Maxwellian electrons, but again only for the parallel propagation.

As mentioned above, Guo et al. (2014b) and KRH19 argued that the upstream waves in the shock foot in their PIC simulations have the characteristics consistent with the nonprogating oblique waves excited by the ETAFI. Considering that backstreaming electrons would behave like a drifting beam, however, it would have been more appropriate to interpret the operating instability as the EBFI. So we here consider and compare the two instabilities, in order to understand the nature of the upstream waves in QQ_{\perp}-shocks in high-β\beta plasmas. Another reason why we study this problem is that the ETAFI and EBFI in high-β\beta plasmas have not been examined before. In particular, we study the instabilities at both parallel and oblique propagations through the kinetic Vlasov linear theory and 2D PIC simulations, focusing on the kinetic properties of the EFI in high-β\beta (βp50\beta_{\rm p}\approx 50 and βe50\beta_{\rm e}\approx 50) plasmas relevant for the ICM.

The paper is organized as follows. Section 2 describes the linear analysis of the ETAFI and EBFI. In Section 3, we present the nonlinear evolution of the EBFI in 2D PIC simulations in a periodic box. A brief summary is given in Section 4.

2 Linear Analysis of ETAFI and EBFI

We consider the ETAFI and EBFI in a homogeneous, collisionless, magnetized plasma, which is specified by the density and temperature of ions and electrons, npn_{p}, nen_{e}, TpT_{p}, TeT_{e}, and the background magnetic field of 𝐁0\mathbf{B}_{0}. For the case of the ETAFI, the anisotropic bi-Maxwellian distribution of electrons is described by TeT_{e\parallel} and TeT_{e\perp}, and the temperature anisotropy parameter is given as 𝒜=Te/Te\mathcal{A}=T_{e\parallel}/T_{e\perp}. The ion population is described with a single temperature. For the case of the EBFI, the core and beam populations of electrons with the drift speeds of ucu_{c} and ubu_{b} along the direction of the background magnetic field are assumed333The subscripts cc and bb stand for the core and beam populations.. The ion population is on average at rest with zero drift speed. The adopted ion-to-electron mass ratio includes the realistic ratio, mp/me=1836m_{p}/m_{e}=1836, of the proton to electron mass and a reduced one, mp/me=100m_{p}/m_{e}=100. The reduced mass ratio is considered for comparison with the PIC simulations in the next section where mp/me=100m_{p}/m_{e}=100 and 400 are adopted.

The VDF of a drifting bi-Maxwellian population can be written in the general form,

fa(v,v)=nan0π3/2αa2αaexp[v2αa2(vua)2αa2].f_{a}(v_{\perp},v_{\parallel})=\frac{n_{a}}{n_{0}}\frac{\pi^{-3/2}}{\alpha_{a\perp}^{2}\alpha_{a\parallel}}\exp\left[-\frac{v_{\perp}^{2}}{\alpha_{a\perp}^{2}}-\frac{(v_{\parallel}-u_{a})^{2}}{\alpha_{a\parallel}^{2}}\right]. (1)

The subscript aa can denote the population of core electrons (cc), beam electrons (bb), or ions (pp). Here, nan_{a} is the number density of the particle species aa, and n0n_{0} is the number density of electrons and ions, which satisfy n0=nc+nb=npn_{0}=n_{c}+n_{b}=n_{p}, the charge neutarlity condition; uau_{a} is the drift speed directed along the background magnetic field, and satisfies ncuc+nbubnpup=0n_{c}u_{c}+n_{b}u_{b}-n_{p}u_{p}=0, the zero net current condition. The thermal velocities are αa=2kBTa/ma\alpha_{a\parallel}=\sqrt{2k_{\rm B}T_{a\parallel}/m_{a}} and αa=2kBTa/ma\alpha_{a\perp}=\sqrt{2k_{B}T_{a\perp}/m_{a}}, respectively. Throughout the paper, the plasma beta, βa=8πn0kBTa/B02\beta_{a}=8\pi n_{0}k_{B}T_{a}/B_{0}^{2}, the plasma frequency, ωpa2=4πn0e2/ma\omega_{pa}^{2}=4\pi n_{0}e^{2}/m_{a}, and the gyro-frequency, Ωa=eB0/mac\Omega_{a}=eB_{0}/m_{a}c, for electrons and ions are used. The Alfve´\rm{\acute{e}}n speed, given as vA=(B02/4πn0mp)1/2v_{A}=(B_{0}^{2}/4\pi n_{0}m_{p})^{1/2}, is also used. Note that for the ion (proton) population, Tp=Tp=TpT_{p\parallel}=T_{p\perp}=T_{p} in the ETAFI analysis, while up=0u_{p}=0 in the EBFI analysis in the following subsections.

The linear dispersion relation of general electromagnetic (EM) modes for the ETAFI and EBFI can be derived from the normal mode analysis with the linearized Vlasov-Maxwell system of equations for plasmas of multi-species. The derivation can be found in standard textbooks on plasma physics (e.g., Stix, 1992; Brambilla, 1998). The dispersion relation is given as

det(ϵijc2k2ω2(δijkikjk2))=0,\det\left(\epsilon_{ij}-\frac{c^{2}k^{2}}{\omega^{2}}\big{(}\delta_{ij}-\frac{k_{i}k_{j}}{k^{2}}\big{)}\right)=0, (2)

with the dielectric tensor, ϵij\epsilon_{ij}, where kik_{i} and kjk_{j} are the components of the wavevector 𝐤\mathbf{k}. Then, the complex frequency, ω=ωr+iγ\omega=\omega_{r}+i\gamma,444The quantity ii is the imaginary unit, not the coordinate component. can be calculated as a function of the wave number, kk, and the propagation angle, θ\theta. The dielectric tensor for the general VDF is given in the appendix. Setting that \parallel is the zz-direction and \perp is the xx-direction without loss of generality, that is, 𝐁0=B0z^\mathbf{B}_{0}=B_{0}{\hat{z}} and 𝐤\mathbf{k} are in the zxz-x plane, the components of ϵij\epsilon_{ij} for the VDF in Equation (1) is written as

ϵxx\displaystyle\epsilon_{xx} =\displaystyle= 1+a=c,b,pωpa2ω2nan0n=n=n2Λn(λa)λaAna,\displaystyle 1+\sum_{a=c,b,p}\frac{\omega_{pa}^{2}}{\omega^{2}}\frac{n_{a}}{n_{0}}\sum_{n=-\infty}^{n=\infty}\frac{n^{2}\Lambda_{n}(\lambda_{a})}{\lambda_{a}}A_{n}^{a},
ϵyy\displaystyle\epsilon_{yy} =\displaystyle= 1+a=c,b,pωpa2ω2nan0n=n=(n2Λn(λa)λa2λaΛn(λa))Ana,\displaystyle 1+\sum_{a=c,b,p}\frac{\omega_{pa}^{2}}{\omega^{2}}\frac{n_{a}}{n_{0}}\sum_{n=-\infty}^{n=\infty}\left(\frac{n^{2}\Lambda_{n}(\lambda_{a})}{\lambda_{a}}-2\lambda_{a}\Lambda_{n}^{\prime}(\lambda_{a})\right)A_{n}^{a},
ϵzz\displaystyle\epsilon_{zz} =\displaystyle= 1a=c,b,pωpa2ω2nan0TaTa\displaystyle 1-\sum_{a=c,b,p}\frac{\omega_{pa}^{2}}{\omega^{2}}\frac{n_{a}}{n_{0}}\frac{T_{a\parallel}}{T_{a\perp}}
×n=n=Λn(λa)(ζnaBna+2uaαaBna2ua2αa2Ana),\displaystyle\times\sum_{n=-\infty}^{n=\infty}\Lambda_{n}(\lambda_{a})\left(\zeta_{n}^{a}B_{n}^{a}+2\frac{u_{a}}{\alpha_{a\parallel}}B_{n}^{a}-2\frac{u_{a}^{2}}{\alpha_{a\parallel}^{2}}A_{n}^{a}\right),
ϵxy\displaystyle\epsilon_{xy} =\displaystyle= ϵyx=ia=c,b,pωpa2ω2nan0n=n=nΛn(λa)Ana,\displaystyle-\epsilon_{yx}=i\sum_{a=c,b,p}\frac{\omega_{pa}^{2}}{\omega^{2}}\frac{n_{a}}{n_{0}}\sum_{n=-\infty}^{n=\infty}n\Lambda_{n}^{\prime}(\lambda_{a})A_{n}^{a},
ϵxz\displaystyle\epsilon_{xz} =\displaystyle= ϵzx=a=c,b,pωpa2ω2nan0kαa2Ωa\displaystyle\epsilon_{zx}=-\sum_{a=c,b,p}\frac{\omega_{pa}^{2}}{\omega^{2}}\frac{n_{a}}{n_{0}}\frac{k_{\perp}\alpha_{a\parallel}}{2\Omega_{a}}
×n=n=nΛn(λa)λa(Bna2uaαaAna),\displaystyle\quad\quad\quad\times\sum_{n=-\infty}^{n=\infty}\frac{n\Lambda_{n}(\lambda_{a})}{\lambda_{a}}\left(B_{n}^{a}-2\frac{u_{a}}{\alpha_{a\parallel}}A_{n}^{a}\right),
ϵyz\displaystyle\epsilon_{yz} =\displaystyle= ϵzy=ia=c,b,pωpa2ω2nan0kαa2Ωa\displaystyle-\epsilon_{zy}=i\sum_{a=c,b,p}\frac{\omega_{pa}^{2}}{\omega^{2}}\frac{n_{a}}{n_{0}}\frac{k_{\perp}\alpha_{a\parallel}}{2\Omega_{a}} (3)
×n=n=Λn(λa)(Bna2uaαaAna),\displaystyle\quad\quad\quad\times\sum_{n=-\infty}^{n=\infty}\Lambda_{n}^{\prime}(\lambda_{a})\left(B_{n}^{a}-2\frac{u_{a}}{\alpha_{a\parallel}}A_{n}^{a}\right),

where

Λn(λa)=In(λa)eλa,\displaystyle\Lambda_{n}(\lambda_{a})=I_{n}(\lambda_{a})e^{-\lambda_{a}},
λa=k2αa22Ωa2,\displaystyle\lambda_{a}=\frac{k_{\perp}^{2}\alpha_{a\perp}^{2}}{2\Omega_{a}^{2}},
Ana=ζ0aZ(ζna)(TaTa1)Z(ζna)2,\displaystyle A_{n}^{a}=\zeta_{0}^{a}Z(\zeta_{n}^{a})-\left(\frac{T_{a\perp}}{T_{a\parallel}}-1\right)\frac{Z^{\prime}(\zeta_{n}^{a})}{2},
Bna=[ζ0a(TaTa1)ζna]Z(ζna),\displaystyle B_{n}^{a}=\left[\zeta_{0}^{a}-\left(\frac{T_{a\perp}}{T_{a\parallel}}-1\right)\zeta_{n}^{a}\right]Z^{\prime}(\zeta_{n}^{a}),
ζna=ωnΩakuakαa.\displaystyle\zeta_{n}^{a}=\frac{\omega-n\Omega_{a}-k_{\parallel}u_{a}}{k_{\parallel}\alpha_{a\parallel}}. (4)

Here, In(λ)I_{n}(\lambda) denotes the modified Bessel function of the first kind and Z(ζ)Z(\zeta) is the plasma dispersion function (see the appendix). The prime in Λn(λ)\Lambda_{n}^{\prime}(\lambda) and Z(ζ)Z^{\prime}(\zeta) indicates the derivative with respect to the argument.

Refer to caption

Figure 1: Real frequency, ωr\omega_{r} (black), and growth rate, γ\gamma (red), of the ETAFI as a function of wavenumber, kk, for different propagation angle θ\theta, the angle between the wavevector and the background magnetic field. Here, 𝒜=Te/Te=1.86\mathcal{A}=T_{e\parallel}/T_{e\perp}=1.86, β=100\beta=100 (i.e., βe=72.3\beta_{e\parallel}=72.3, βe=38.9\beta_{e\perp}=38.9, and βp=50\beta_{p}=50), vA/c=6×104v_{A}/c=6\times 10^{-4}, and mp/me=1836m_{p}/m_{e}=1836. Note that the ranges of abscissa and ordinate differ in different panels.

Refer to caption

Figure 2: Maximum growth rate, γm\gamma_{m} (top), and wavenumber, kmk_{m} (bottom), for the propagating (dashed line) and nonpropagating (solid line) modes of the ETAFI, as a function of θ\theta. The left panels are for different βe\beta_{e\parallel} with a fixed 𝒜=1.67\mathcal{A}=1.67; β=2βe(1+2/𝒜)/3\beta=2\beta_{e\parallel}(1+2/\mathcal{A})/3, vA/c=104v_{A}/c=10^{-4}, and mp/me=1836m_{p}/m_{e}=1836. The right panels are for different 𝒜\mathcal{A} and mp/mem_{p}/m_{e}; β=100\beta=100 and vA/c=6×104/[(mp/me)/1836]1/2v_{A}/c=6\times 10^{-4}/[(m_{p}/m_{e})/1836]^{1/2} In the right panels, the gray solid lines almost completely overlap with the black solid lines.

2.1 Electron Temperature Anisotropy Firehose Instability (ETAFI)

We first examine the ETAFI in the ICM environment, triggered by the temperature anisotropy of electrons; hence, Te>TeT_{e\parallel}>T_{e\perp}, while Tp=TpT_{p\parallel}=T_{p\perp}, and uc=ub=0u_{c}=u_{b}=0 (no drift of electrons). For the anisotropic distribution of electrons in Equation (1), the plasma beta is given as βe=βe/𝒜\beta_{e\perp}=\beta_{e\parallel}/\mathcal{A} and βe=(βe+2βe)/3=βe(1+2/𝒜)/3\beta_{e}=(\beta_{e\parallel}+2\beta_{e\perp})/3=\beta_{e\parallel}(1+2/\mathcal{A})/3. We restrict the analysis to the case of βe=βp\beta_{e}=\beta_{p}555The analysis can be easily extended to the general case of βeβp\beta_{e}\neq\beta_{p}.. Then, the analysis is reduced to a problem of five parameters, for instance, TeT_{e\parallel}, TeT_{e\perp}, n0n_{0}, B0B_{0} and mp/mem_{p}/m_{e}. We specify the problem with four dimensionless quantities, 𝒜=Te/Te\mathcal{A}=T_{e\parallel}/T_{e\perp}, β=βe+βp\beta=\beta_{e}+\beta_{p}, vA/cv_{A}/c, and mp/mem_{p}/m_{e}, and use ωpe\omega_{pe} to normalize kk. We then calculate ωr/Ωe+iγ/Ωe\omega_{r}/\Omega_{e}+i\gamma/\Omega_{e} as a function of ck/ωpeck/\omega_{pe} and θ\theta. Note that Ωe\Omega_{e} is given as a combination of other quantities, Ωe=ωpe(vA/c)(mp/me)1/2\Omega_{e}=\omega_{pe}(v_{A}/c)(m_{p}/m_{e})^{1/2}. Considering that n0104cm3n_{0}\sim 10^{-4}\ {\rm cm^{-3}}, TeTp108T_{e}\sim T_{p}\sim 10^{8} K (8.6 keV), and B0B_{0} is of the order of μG\mu{\rm G} in the ICM (see the introduction), we adopt β=100\beta=100 and vA/c=[(2/βp)(kBT/mpc2)]1/26×104/[(mp/me)/1836]1/2v_{A}/c=[(2/\beta_{p})(k_{B}T/m_{p}c^{2})]^{1/2}\equiv 6\times 10^{-4}/[(m_{p}/m_{e})/1836]^{1/2} as fiducial values.

Figure 1 shows the analysis results of the ETAFI for the model of 𝒜=1.86\mathcal{A}=1.86, β=100\beta=100, vA/c=6×104v_{A}/c=6\times 10^{-4}, and mp/me=1836m_{p}/m_{e}=1836. The normalized real frequency, ωr/Ωe\omega_{r}/\Omega_{e} (black line), and the normalized growth rate, γ/Ωe\gamma/\Omega_{e} (red line), are plotted as a function of ck/ωpeck/\omega_{pe} for different θ\theta. At small, quasi-parallel angles (θ<35\theta<35^{\circ}), the propagating mode with ωr0\omega_{r}\neq 0 dominates over the nonpropagating mode with ωr=0\omega_{r}=0 in all the range of kk. As θ\theta increases, γ\gamma of both the modes increase, but γ\gamma of the nonpropagating mode increases more rapidly than that of the propagating mode (see the panels of θ=35\theta=35^{\circ}, 4040^{\circ}, and 4545^{\circ}). As θ\theta increases further, the nonpropagating mode dominates in all the range of kk (see the panel of 8585^{\circ}). The maximum growth rate, γm\gamma_{m}, appears at ckm/ωpe0.49ck_{m}/\omega_{pe}\approx 0.49 and θm85\theta_{m}\approx 85^{\circ}, while nonpropagating modes with a broad range of ck/ωpe0.20.8ck/\omega_{pe}\sim 0.2-0.8 have similar γ\gamma. This agrees with the previous finding that the ETAFI predominantly generates oblique phase-standing waves (see the introduction).

Figure 2 shows the analysis results for different parameters. The left panels exhibit the dependence on βe\beta_{e\parallel} with βe=5\beta_{e\parallel}=5, 25, and 50 for a fixed 𝒜=1.67\mathcal{A}=1.67; then, β=7.33\beta=7.33, 36.6, and 73.3, respectively, and other parameters are vA/c=104v_{A}/c=10^{-4} and mp/me=1836m_{p}/m_{e}=1836. The maximum growth rate, γm\gamma_{m}, and the corresponding wavenumber, kmk_{m}, for given θ\theta, are plotted as a function of θ\theta for both the propagating (dashed line) and nonpropagating (solid line) modes. The results of the βe=5\beta_{e\parallel}=5 model are in perfect agreement with the solutions provided by Gary & Nishimura (2003) (see their Figure 2), demonstrating the reliability of our analysis. The peak of γm\gamma_{m} occrus at the nonpropagating mode, again indicating that the fastest-growing mode is nonpropagating, regardless of β\beta. For higher β\beta, the peak is higher666For higher β\beta, Ωe\Omega_{e}, the normalization factor in the plot, is smaller, if the difference in β\beta is due to the difference in B0B_{0}, and appears at larger θ\theta and smaller kk; that is, for higher β\beta, the ETAFI grows faster, and the fastest-growing mode has a longer wavelength and a larger propagation angle.

The right panels of Figure 2 examine the dependence on 𝒜\mathcal{A} in the range of 𝒜=1.461.86\mathcal{A}=1.46-1.86 for a fixed β=100\beta=100; then, βe=63.372.3\beta_{e\parallel}=63.3-72.3, and other parameters are vA/c=6×104v_{A}/c=6\times 10^{-4} and mp/me=1836m_{p}/m_{e}=1836. For larger 𝒜\mathcal{A}, the peak of γm\gamma_{m} is higher and appears at larger θ\theta and larger kk; that is, for larger 𝒜\mathcal{A}, the ETAFI grows faster, and the fastest-growing mode has a shorter wavelength and a larger propagation angle. The right panels also compare the models of mp/me=1836m_{p}/m_{e}=1836 and 100 for 𝒜=1.86\mathcal{A}=1.86. While the growth rate of the propagating mode strongly depends on mp/mem_{p}/m_{e}, the characteristics of the nonpropagating mode is insensitive to mp/mem_{p}/m_{e} once mp/mem_{p}/m_{e} is sufficiently large. This is consistent with the findings of Gary & Nishimura (2003).

Table 1: Model Parameters for the Linear Analysis of the EBFI
Model Name a βe=βp\beta_{e}=\beta_{p} nb/n0n_{b}/n_{0} uc/cu_{c}/c ub/cu_{b}/c 𝒜eff\mathcal{A}_{\rm eff} vA/cv_{A}/c mp/mem_{p}/m_{e} γm/Ωe\gamma_{m}/\Omega_{e} θm\theta_{m} ckm/ωpeck_{m}/\omega_{pe}
Lu0.22 50 0.2 0.044 -0.176 1.46 6×1046\times 10^{-4} 1836 0.17 7979^{\circ} 0.31
Lu0.26 50 0.2 0.052 -0.208 1.65 6×1046\times 10^{-4} 1836 0.21 8080^{\circ} 0.34
Lu0.3 50 0.2 0.06 -0.24 1.86 6×1046\times 10^{-4} 1836 0.24 8181^{\circ} 0.38
Lu0.3β50\beta 50 25 0.2 0.06 -0.24 1.86 8.5×1048.5\times 10^{-4} 1836 0.21 7979^{\circ} 0.41
Lu0.3m100 50 0.2 0.06 -0.24 1.86 2.6×1032.6\times 10^{-3} 100 0.24 8181^{\circ} 0.38
aafootnotetext: See Section 2.2 for the model naming convention.

Refer to caption

Figure 3: Real frequency, ωr\omega_{r} (black), and growth rate, γ\gamma (red), of the EBFI for the Lu0.3 model in Table 1, as a function of wavenumber, kk, for different propagation angle, θ\theta. Note that the ranges of abscissa and ordinate differ in different panels.

Refer to caption

Figure 4: Angular and wavenumber dependence of the growth rate, γ\gamma, of the EBFI for four models, (a) Lu0.3, (b) Lu0.22, (c) Lu0.3β\beta50, and (d) Lu0.3m100, in Table 1. The X marks the location of the maximum growth rate in the kk-θ\theta plane.

2.2 Electron Beam Firehose Instability (EBFI)

In this subsection, we examine the EBFI in the ICM environment, induced by a drifting beam of electrons. Three populations of core electrons, beam electrons, and ions are involved, and we assume that all follow isotropic Maxwellian VDFs. We again restrict the analysis to the case of βe=βp\beta_{e}=\beta_{p}, or equivalently Te=TpT_{e}=T_{p}. Then, with the charge neutarlity and zero net current conditions, the analysis is reduced to a problem of six parameters, for instance, TeT_{e}, ncn_{c}, nbn_{b}, urelucbbu_{\rm rel}\equiv u_{c}-b_{b}, B0B_{0}, and mp/mem_{p}/m_{e}. We specify the problem with five dimensionless quantities, β\beta, nb/n0n_{b}/n_{0}, urel/cu_{\rm rel}/c, vA/cv_{A}/c, and mp/mem_{p}/m_{e}, again using ωpe\omega_{pe} to normalize kk.

Emulating backstreaming electrons in the foot of a simulated shock in the ICM environment, specifically, the M3.0 model shock (Ms=3.0M_{\rm s}=3.0, β=100\beta=100) of KRH19, we adopt the model of β=100\beta=100, nb/n0=0.2n_{b}/n_{0}=0.2 (then, nc/n0=0.8n_{c}/n_{0}=0.8), urel/c=0.3u_{\rm rel}/c=0.3 (uc=0.06u_{c}=0.06 and ub=0.24u_{b}=-0.24), vA/c=6×104v_{A}/c=6\times 10^{-4}, and mp/me=1836m_{p}/m_{e}=1836 as the fiducial model. We also consider four additional models to explore the dependence of the EBFI on urel/cu_{\rm rel}/c, β\beta, and mp/mem_{p}/m_{e}, as listed in Table 1. The model name in the table has the following meaning. The first character ‘L’ stands for ‘linear analysis’. The letter ‘u’ is followed by urel/cu_{\rm rel}/c; the Lu0.3 model in the third row is the fiducial case. The models in the last two rows are appended by a character for the specific parameter and its value that is different from the fiducial value; the Lu0.3β50\beta 50 model has β=50\beta=50, and the Lu0.3m100 model has mp/me=100m_{p}/m_{e}=100. The last three columns of the table show γm\gamma_{m}, θm\theta_{m} and kmk_{m} of the fastest-growing mode.

To compare the characteristics of the EBFI with those of the ETAFI, we define an “effective” temperature anisotropy as follows. The “effective” parallel and perpendicular temperatures of the total (core plus beam) electron population are estimated as

Teeff\displaystyle T_{e\parallel}^{\rm eff} =\displaystyle= mekBn0d3v(vv)2fe\displaystyle\frac{m_{e}}{k_{B}n_{0}}\int d^{3}v\left(v_{\parallel}-\langle v_{\parallel}\rangle\right)^{2}f_{e}
=\displaystyle= Te+mekB(uc2ncn0+ub2nbn0),\displaystyle T_{e}+\frac{m_{e}}{k_{B}}\left(u_{c}^{2}\frac{n_{c}}{n_{0}}+u_{b}^{2}\frac{n_{b}}{n_{0}}\right),
Teeff\displaystyle T_{e\perp}^{\rm eff} =\displaystyle= mekBn0d3vv22fe=Te,\displaystyle\frac{m_{e}}{k_{B}n_{0}}\int d^{3}v\frac{v_{\perp}^{2}}{2}f_{e}=T_{e}, (5)

where fe=fc+fbf_{e}=f_{c}+f_{b}. Note that

ve=1n0d3vvfe=ncn0uc+nbn0ub=0,\langle v_{e\parallel}\rangle=\frac{1}{n_{0}}\int d^{3}v\ v_{\parallel}f_{e}=\frac{n_{c}}{n_{0}}u_{c}+\frac{n_{b}}{n_{0}}u_{b}=0, (6)

with the zero net current condition in the ion rest frame. Then, the effective temperature anisotropy, arsing from the drift of electrons, is given as 𝒜eff=Teeff/Teeff\mathcal{A}_{\rm eff}=T_{e\parallel}^{\rm eff}/T_{e\perp}^{\rm eff}; it is listed in the sixth column of Table 1.

Table 2: Model Parameters for the PIC Simulations of the EBFI
Model Name a βe\beta_{e}=βp\beta_{p} nb/n0n_{b}/n_{0} uc/cu_{c}/c ub/cu_{b}/c 𝒜eff\mathcal{A}_{\rm eff} Te=Tp[K(keV)]T_{e}=T_{p}[\rm K(keV)] mp/mem_{p}/m_{e} Lx=Ly[c/ωpe]L_{x}=L_{y}[c/\omega_{pe}] Δx=Δy[c/ωpe]\Delta x=\Delta y[c/\omega_{pe}] tend[Ωe1]t_{\rm end}[\Omega_{\rm e}^{-1}]
Su0.22 50 0.2 0.044 -0.176 1.46 108(8.6)10^{8}(8.6) 100 100100 0.1 10001000
Su0.26 50 0.2 0.052 -0.208 1.65 108(8.6)10^{8}(8.6) 100 100100 0.1 10001000
Su0.3 50 0.2 0.06 -0.24 1.86 108(8.6)10^{8}(8.6) 100 100100 0.1 10001000
Su0.3β50\beta 50 25 0.2 0.06 -0.24 1.86 108(8.6)10^{8}(8.6) 100 100100 0.1 10001000
Su0.3m400 50 0.2 0.06 -0.24 1.86 108(8.6)10^{8}(8.6) 400 100100 0.1 10001000
aafootnotetext: See Section 3.1 for the model naming convention.

Refer to caption

Figure 5: Top panels: the growth rate of the EBFI, γ(𝐤)/Ωe\gamma(\mathbf{k})/\Omega_{e}, in the kk_{\parallel}-kk_{\perp} plane for four models in Table 1, calculated by the linear analysis in Section 2.2. Bottom panels: the square of the Fourier transformation of the yy-magnetic field fluctuations, δBy2(𝐤)/B02\delta B_{y}^{2}(\mathbf{k})/B_{0}^{2}, in the kk_{\parallel}-kk_{\perp} plane for four models in Table 2, estimated at Ωet=5\Omega_{e}t=5, from PIC simulations. Note that the color bar of γ(𝐤)/Ωe\gamma(\mathbf{k})/\Omega_{e} is in the linear scale, while that of δBy2(𝐤)/B02\delta B_{y}^{2}(\mathbf{k})/B_{0}^{2} is in the logarithmic scale. The parameters of Lu models are identical to those of their respective Su models, except that mp/me=1836m_{p}/m_{e}=1836 for Lu models while mp/me=100m_{p}/m_{e}=100 for Su models. The X marks the location of the maximum linear growth rate, γm\gamma_{m}, of the Lu models.

Figure 3 shows the normalized real frequency, ωr/Ωe\omega_{r}/\Omega_{e} (black line), and the normalized growth rate, γ/Ωe\gamma/\Omega_{e} (red line), for the Lu0.3 model of the EBFI, as a function of ck/ωpeck/\omega_{pe} for different θ\theta. This model has 𝒜eff=1.86\mathcal{A}_{\rm eff}=1.86, which is the same as 𝒜\mathcal{A} of the ETAFI model of Figure 1. The magnitude of γ\gamma and the unstable wavenumber range in Figure 3 are comparable to those in Figure 1, and in both the figures, γ\gamma increases with increasing θ\theta. For the Lu0.3 model, the maximum growth, γm/Ωe=0.24\gamma_{m}/\Omega_{e}=0.24, appears at θm81\theta_{m}\approx 81^{\circ}, and at this angle, modes with a broad range of ck/ωpe0.20.8ck/\omega_{pe}\sim 0.2-0.8 have γ\gamma close to γm\gamma_{m}. The wavenumber of γm\gamma_{m} is ckm/ωpe0.38ck_{m}/\omega_{pe}\approx 0.38 for the Lu0.3 model, smaller than ckm/ωpe0.49ck_{m}/\omega_{pe}\approx 0.49 at θm85\theta_{m}\approx 85^{\circ} in Figure 1. The more notable difference is that fast-growing oblique modes of the EBFI have ωr0\omega_{r}\neq 0, while those of the ETAFI have ωr=0\omega_{r}=0. However, ωr<γ\omega_{r}<\gamma, for most of the modes; for the Lu0.3 model, γm/Ωe0.24\gamma_{m}/\Omega_{e}\approx 0.24 and ωr/Ωe0.06\omega_{r}/\Omega_{e}\approx 0.06 at kmk_{m} and θm\theta_{m}, and hence, (ωr/km)/γm0.66c/ωpeλm(2π/km)16.5c/ωpe(\omega_{r}/k_{m})/\gamma_{m}\approx 0.66\ c/\omega_{pe}\ll\lambda_{m}(\equiv 2\pi/k_{m})\approx 16.5\ c/\omega_{pe}, that is, the fastest-growing mode propagates the distance much smaller than its wavelength during the linear grow time of 1/γm1/\gamma_{m}. It means that EM fluctuations grow much faster than they propagate. Thus, the oblique mode of the EBFI may be regarded as “nearly phase-standing”, while the oblique mode of the ETAFI is truly nonpropagating.

Figure 4 demonstrates the effects of urel/cu_{\rm rel}/c, β\beta, and mp/mem_{p}/m_{e} on the growth rate, γ\gamma, of the EBFI in the kk-θ\theta plane. The black “X” denotes the location (km,θm)(k_{m},\theta_{m}) of the fastest-growing mode. The comparison of the Lu0.22 and Lu0.3 (also Lu0.26, although not shown) models indicates that for larger urelu_{\rm rel} (i.e., larger 𝒜eff\mathcal{A}_{\rm eff}), γ\gamma peaks at larger kmk_{m} and larger θm\theta_{m}. This is consistent with the result of the ETAFI, shown in the right panels of Figure 2. The panels (a) and (c), which compare the Lu0.3 and Lu0.3β\beta50 models, illustrate that for smaller β\beta, kmk_{m} is larger, while θm\theta_{m} is smaller. Such β\beta dependence is also seen in the case of the ETAFI, shown in the left panels of Figure 2. The panels (a) and (d), which compare the Lu0.3 and Lu0.3m100 models, manifest that mp/mem_{p}/m_{e} is not important, especially at high oblique angles of θ40\theta\gtrsim 40^{\circ}, as in the ETAFI. In summary, these characteristics of the EBFI are similar to those of the ETAFI. Hence, we expect that the EBFI would behave similarly to the ETAFI.

3 PIC Simulations of EBFI

3.1 Simulation Setup

Refer to caption

Figure 6: Time evolution of PBy(k)P_{B_{y}}(k) (top panels) and PBy(θ)P_{B_{y}}(\theta) (bottom panels), the power of δBy/B0\delta B_{y}/B_{0}, as a function of kk and θ\theta, at different times in the PIC simulations for the Su0.22, Su0.26 and Su0.3 models in Table 2. The gray lines show the power at a later time, Ωet500\Omega_{e}t\sim 500.

To further explore the development and evolution of the EBFI in the foot of weak QQ_{\perp}-shocks in the ICM, we study the instability through 2D PIC simulations. We consider the setup equivalent to that of Section 2.2; electrons, described with an isotropic Maxwellian VDF, drift along the direction of the background magnetic field, 𝐁0=B0z^\mathbf{B}_{0}=B_{0}\hat{z}. In fact, Guo et al. (2014b) performed similar PIC simulations to describe the triggering instability and the properties of excited upstream waves, seen in their shock study. The difference is that in their simulations, the beam electrons are drifting within the maximum pitch angle and have a power-law energy distribution.

The PIC simulations were performed using TRISTAN-MP, a parallelized EM PIC code (Buneman, 1993; Spitkovsky, 2005). All the three components of the particle velocity and the EM fields are calculated within a periodic box. As in Section 2.2, the background plasma consists of core electrons, beam electrons, and ions. The core and beam electron populations drift, satisfying the zero net current condition, while the ion population is at rest. The simulation domain is in the zxz-x plane. Again, the case of βe=βp\beta_{e}=\beta_{p}, or equivalently Te=TpT_{e}=T_{p}, is considered.

Parallel to the models for the linear analysis considered in Section 2.2, we ran simulations for the five models listed in Table 2. The model name in the first column has the same meaning as that in Table 1, except that the first character ‘S’ stands for ‘simulation’. Su0.3 in the third row is the fiducial model; β=100\beta=100, nb/n0=0.2n_{b}/n_{0}=0.2, urel/c=0.3u_{\rm rel}/c=0.3, Te=Tp=8.6T_{e}=T_{p}=8.6 keV, and mp/me=100m_{p}/m_{e}=100. Again, this model is to intended to reproduce the upstream condition of the M3.0 model shock of KRH19. Note that here mp/me=100m_{p}/m_{e}=100 is used to speed up the simulations, but the early, linear-stage evolution of fast-growing oblique modes should be insensitive to the mass ratio, as mentioned above. Four additional models are considered to explore the dependence on urel/cu_{\rm rel}/c, β\beta, and mp/mem_{p}/m_{e}.

The simulation domain is represented by a square grid of size Lz=Lx=100c/ωpeL_{z}=L_{x}=100\ c/\omega_{pe}, which consists of cells of Δz=Δx=0.1c/ωpe\Delta z=\Delta x=0.1\ c/\omega_{pe}. In each cell, 200 particles (100 for electrons and 100 for ions) are placed. The time step is Δt=0.045[ωpe1]\Delta t=0.045\ [\omega_{pe}^{-1}], and the simulations ran up to tend=1000Ωe1t_{\rm end}=1000\ \Omega_{\rm e}^{-1}.

3.2 Simulations Results

Refer to caption

Figure 7: Fluctuations of the yy-magnetic field, δBy/B0\delta B_{y}/B_{0}, at three different times in the PIC simulation for the Su0.3 model. The black arrows draw the background magnetic field direction, while the blue arrows point the wavevector directions of the peaks of PBy(𝐤)P_{B_{y}}(\mathbf{k}).

Refer to caption

Figure 8: Fluctuations of the yy-magnetic field, δBy/B0\delta B_{y}/B_{0}, at Ωet5000\Omega_{e}t\sim 5000 in the PIC simulation of the M3.0 model shock of KRH19. The black arrow draw the background magnetic field direction, while the blue arrow points the wavevector direction of the peak of PBy(𝐤)P_{B_{y}}(\mathbf{k}).

As in the ETAFI (see the introduction), for fast-growing oblique modes of the EBFI, the magnetic field fluctuations are induced predominantly along the direction perpendicular to both 𝐤\mathbf{k} and 𝐁𝟎\mathbf{B_{0}}, i.e., along the yy axis in our geometry.777We confirmed it in the simulations, although we do not explicitly show it here. Hence, below, we present the simulation results associated with δBy\delta B_{y} to describe the evolution of the EBFI. With its Fourier transformation, δBy(𝐤)\delta B_{y}(\mathbf{k}), we first compare ln(δBy2(𝐤)/B02)\ln(\delta B_{y}^{2}(\mathbf{k})/B_{0}^{2}), calculated in the PIC simulations, with the linear growth rate, γ(𝐤)\gamma(\mathbf{k}), described in Section 2.2, since δBy(𝐤)exp(γ(𝐤))\delta B_{y}(\mathbf{k})\propto\exp(\gamma(\mathbf{k})) in the linear regime. Figure 5 shows such comparison between γ(𝐤)\gamma(\mathbf{k}) of the linear analysis models in Table 1 (top panels) and δBy2(𝐤)/B02\delta B_{y}^{2}(\mathbf{k})/B_{0}^{2} of their respective simulation models in Table 2 (bottom panels). Here, δBy(𝐤)\delta B_{y}(\mathbf{k}) is at Ωet=5\Omega_{e}t=5, close to the linear growth time of the fastest-growing mode, Ωe/γm\Omega_{e}/\gamma_{m}. In the linear analysis, the fastest-growing mode occurs at kmc/ωpe0.310.41k_{m}c/\omega_{pe}\sim 0.31-0.41 and θm7981\theta_{m}\sim 79^{\circ}-81^{\circ} (see Table 2), which corresponds to the positions of the black “X” marks in the figure. The figure demonstrates a fair consistency between the simulations and the linear analysis. The bottom panels show that ln(δBy2(𝐤)/B02)\ln(\delta B_{y}^{2}(\mathbf{k})/B_{0}^{2}) is substantial in the portion of the kk_{\parallel}-kk_{\perp} plane where the growth rate is substantial. In the Su0.22 and Su0.26 models, the peak of δBy2(𝐤)/B02\delta B_{y}^{2}(\mathbf{k})/B_{0}^{2} agrees reasonably well with the location of the X mark. In the Su0.3 and and Su0.3β\beta50 models, on the other hand, the peak shifts a little to the lower left direction of the X mark, possibly a consequence of the nonlinear evolution of the instability (see below).

Although the Su0.3m400 model is not presented in Figure 5, we find that the distribution of ln(δBy2(𝐤)/B02)\ln(\delta B_{y}^{2}(\mathbf{k})/B_{0}^{2}) in the kk_{\parallel}-kk_{\perp} plane coincides well with that of the Su0.3 model. This confirms that the development of the EBFI is not sensitive to mp/mem_{p}/m_{e} in the nonlinear regime as well as in the linear regime.

As described in the introduction, previous studies of the ETAFI have shown that as the instability develops, the magnetic field fluctuations inversely cascade toward longer wavelengths and smaller θ\theta, and that the scattering of electrons by excited waves reduces the temperature anisotropy and the ETAFI-induced waves decay (e.g., Camporeale & Burgess, 2008; Hellinger et al., 2014). We expect a similar inverse cascade for the EBFI-driven magnetic field fluctuations as well. In addition, excited waves will disperse the electron beam, resulting in the decrease of the relative drift speed and eventually leading to the damping of the magnetic field fluctuations with time.

To describe the evolution of the EBFI, we examine the magnetic power spectra, PBy(k)P_{B_{y}}(k) and PBy(θ)P_{B_{y}}(\theta), defined with the following relations,

δBy2B02=PBy(k)dlnk=PBy(θ)𝑑θ.\frac{\delta B_{y}^{2}}{B_{0}^{2}}=\int P_{B_{y}}(k)d\ln k=\int P_{B_{y}}(\theta)d\theta. (7)

Note that PBy(k)=(δBy2(k)/B02)k2P_{B_{y}}(k)=(\delta B_{y}^{2}(k)/B_{0}^{2})k^{2}. Figure 6 shows the time evolution of PBy(k)P_{B_{y}}(k) and PBy(θ)P_{B_{y}}(\theta) for three Su models. We first see that at the early time of Ωet=5\Omega_{e}t=5, the peaks of PBy(k)P_{B_{y}}(k) and PBy(θ)P_{B_{y}}(\theta) occur at the values close to those predicted in the linear analysis, kmk_{m} and θm\theta_{m} (see the discussion above). The figure also demonstrates that the magnetic power transfers to smaller kk and smaller θ\theta; such inverse cascade continues to kc/ωpe0.2kc/\omega_{pe}\sim 0.2 (corresponding wavelength is λ30c/ωpe\lambda\sim 30c/\omega_{pe}) and θ60\theta\sim 60^{\circ} at Ωet300\Omega_{\rm e}t\sim 300. Eventually, the magnetic power decays away in the timescale of Ωet500\Omega_{\rm e}t\sim 500, indicating that the modes of long wavelengths with λλm\lambda\gg\lambda_{m} are not produced by the EBFI.

A similar evolutionary behavior of the magnetic field fluctuations, that is, the inverse cascade followed by the decay, was observed in the simulations of weak QQ_{\perp}-shocks in the high-β\beta ICM plasmas presented by KRH19. In the shocks, however, the beam of SDA-reflected electrons is, although fluctuating, continuously supplied from the shock ramp, persistently inducing the instability. As a consequence, the magnetic field fluctuations exhibit an oscillatory behavior, showing the rise of the instability, followed by the inverse cascade of the magnetic power, and then the decay of turbulence (see Figure 9 of KRH19). The period of such oscillations is Ωet5001000\Omega_{\rm e}t\sim 500-1000, close to the decay time scale of the EBFI. Even in the shocks with a continuous stream of reflected electrons, the modes of long wavelengths (λλm\lambda\gg\lambda_{m}) do not develop, as shown in KRH19.

The linear analysis of the EBFI in Section 2.2 indicates that fast-growing oblique modes, although they are propagating with ωr0\omega_{r}\neq 0, have mostly ωr<γ\omega_{r}<\gamma. So these modes are “effectively” phase-standing, similar to the oblique nonpropgating modes excited by the ETAFI. Figure 7 shows the spatial distribution of δBy/B0\delta B_{y}/B_{0} at three different times covering almost one linear growth time in the PIC simulation for the Su0.3 model. The figure demonstrates that the oblique modes induced by the EBFI are indeed almost nonpropgating. It also illustrates visually that the peak of PBy(k)P_{B_{y}}(k) shifts gradually toward longer wavelength and smaller θ\theta, while the magnetic field fluctuations decay.

Figure 8 shows the spatial distribution of δBy/B0\delta B_{y}/B_{0} in the foot of a shock, which is taken from the PIC simulation for the M3.0 model shock (Ms=3.0M_{\rm s}=3.0, θBn=63\theta_{\rm Bn}=63^{\circ}) reported by KRH19. The strong waves in the shock ramp at the left-hand side of the figure are whistlers excited by reflected ions; obviously they are absent in our periodic-box simulations for the EBFI. The oblique waves in the region, x/[c/ωe]>30x/[c/\omega_{e}]>30, on the other hand, are well compared with those in Figure 7. In particular, the wavelength and θ\theta of the peak of PByP_{B_{y}} are comparable to those in Figure 7(c). By considering the origin of the instability and also the similarity between Figures 7 and 8, we conduce that it should be the EBFI due to the beam of SDA-reflected electrons that operates in the foot of QQ_{\perp}-shocks in the ICM. We also argue that the upstream waves excited by the EBFI, although they have non-zero ωr\omega_{r}, can be regarded as almost phase-standing.

4 Summary

Recent studies for the electron preacceleration in weak QQ_{\perp}-shocks in the high-β\beta ICM plasmas suggested that the temperature anisotropy of T>TT_{\parallel}>T_{\perp} due to SDA-reflected electrons generates oblique waves in the shock foot via the EFI, i.e., the ETAFI (Guo et al., 2014a, b, KRH19). The electrons can be effectively trapped between the shock ramp and these upstream waves, and hence continue to gain energy through multiple cycles of SDA. Those studies compared the properties of the excited upstream waves in shock simulations with the results of the linear analysis and PIC simulations of the ETAFI driven by anisotropic bi-Maxwellian electrons (e.g. Gary & Nishimura, 2003; Camporeale & Burgess, 2008). In the QQ_{\perp} ICM shocks, however, the instability due to SDA-reflected electrons is expected to be more like the electron heat flux instability driven by a drifting beam, i.e., the EBFI, since the electrons stream along the background magnetic field with small pitch angles, and hence they would behave similar to the electrons of a drifting beam rather than bi-Maxwellian electrons.

To describe the nature of the upstream waves excited in the shock foot, we here studied the EFI in two different forms: (1) the ETAFI induced by the electrons of a bi-Maxwellian VDF with the temperature anisotropy, 𝒜=Te/Te>1\mathcal{A}=T_{e\parallel}/T_{e\perp}>1, and (2) the EBFI induced by the electrons of a drifting beam with an isotropic Maxwellian VDF and the relative drift speed, urelu_{\rm rel}. We carried out the kinetic linear analysis of both types of the EFI in Section 2 and the 2D PIC simulations of the EBFI in Section 3.

The main findings can be summarized as follows:

1. In the EBFI, an effective temperature anisotropy, 𝒜eff\mathcal{A}_{\rm eff}, can be defined (see Section 2.2); 𝒜eff\mathcal{A}_{\rm eff} is larger for larger urelu_{\rm rel}. In the linear analysis, the characteristics of the EBFI are similar to those of the ETAFI, if 𝒜eff\mathcal{A}_{\rm eff} is similar to 𝒜\mathcal{A}.

2. For both the EFI instabilities, the oblique modes with a large propagation angle θ\theta grow faster, having a higher growth rate γ\gamma, than the parallel modes with a small θ\theta. For the Lu0.3 model, the fiducial model of the EBFI, for example, ckm/ωpe=0.38ck_{m}/\omega_{pe}=0.38 and θm=81\theta_{m}=81^{\circ}.

3. The growth rates of both the instabilities increase with the increasing plasma beta β\beta (see, e.g., Gary & Nishimura, 2003). For higher β\beta, the fastest-growing mode occurs at smaller kmk_{m} and larger θm\theta_{m}.

4. Naturally, the growth rate increases with increasing 𝒜\mathcal{A} or urelu_{\rm rel}. For larger 𝒜\mathcal{A} or urelu_{\rm rel}, the fastest-growing mode occurs at larger kmk_{m} and larger θm\theta_{m}.

5. In both the instabilities, the growth rate of fast-growing oblique modes is insensitive to mp/mem_{p}/m_{e}, for a sufficiently large mass ratio (i.e., mp/me100m_{p}/m_{e}\gtrsim 100), as shown in previous studies (e.g., Gary & Nishimura, 2003).

6. The fast-growing oblique modes excited by the ETAFI are nonpropagating with ωr=0\omega_{r}=0 (zero real frequency), while those excited by the EBFI have ωr0\omega_{r}\neq 0, but ωr<γ\omega_{r}<\gamma. Hence, the fast-growing modes of the EBFI is nearly phase-standing, even though they are propagating.

7. The PIC simulations of the EBFI presented in Section 3 show that the time evolution of the magnetic field fluctuations induced by this instability is consistent with the prediction of the linear analysis given in Section 2.2 and also with the results for the ETAFI reported by Camporeale & Burgess (2008) and Hellinger et al. (2014). The oblique, almost nonpropagating modes inverse-cascade in time to the modes with smaller wavenumbers, kk, and smaller propagation angles, θ\theta. The scattering of electrons by these waves reduces the beam strength, which in turn leads to the damping of the waves. As a result, the modes of long wavelengths with λλm1520c/ωpe\lambda\gg\lambda_{m}\sim 15-20c/\omega_{pe} are not produced by the EBFI.

As argued by KRH19, without longer waves that can scatter higher energy electrons, the Fermi I-like preacceleration in the shock foot may not proceed to all the way to pinjp_{\rm inj} at weak QQ_{\perp}-shocks in the ICM. However, Trotta & Burgess (2019) and Kobzar et al. (2019) have recently shown that, if the simulation volume is large enough to include ion-scale perturbations, the shock surface rippling caused by the Alfvén ion cyclotron instability can generate multiscale waves, leading the electron injection to DSA. Additional elements, such as pre-existing fossil CR electrons and/or pre-exiting turbulence on kinetic plasma scales in the ICM, may also facilitate the electron injection to DSA.

S.K., J.-H. H., & D.R. were supported by the National Research Foundation of Korea (NRF) through grants 2016R1A5A1013277 and 2017R1A2A1A05071429. J.-H. H. was also supported by the Global PhD Fellowship of the NRF through grant 2017H1A2A1042370. H.K. was supported by the Basic Science Research Program of the NRF through grant 2017R1D1A1A09000567. This research was supported in part by the National Science Foundation under Grant No. NSF PHY-1748958.

Appendix A Linear Dispersion Relation

\restartappendixnumbering

For the general VDF of constituent species, faf_{a}, the ijij-component of the dielectric tensor, ϵij\epsilon_{ij}, can be written as

ϵij=δij+aωpa2ω2d3v[v(vvvv)fab^ib^j\displaystyle\epsilon_{ij}=\delta_{ij}+\sum_{a}\frac{\omega_{pa}^{2}}{\omega^{2}}\int d^{3}v\bigg{[}v_{\parallel}\bigg{(}\frac{\partial}{\partial v_{\parallel}}-\frac{v_{\parallel}}{v_{\perp}}\frac{\partial}{\partial v_{\perp}}\bigg{)}f_{a}\hat{b}_{i}\hat{b}_{j}
+n=n=ViVjωnΩakv(ωkvvv+kv)fa],\displaystyle+\sum_{n=-\infty}^{n=\infty}\frac{V_{i}V_{j}^{*}}{\omega-n\Omega_{a}-k_{\parallel}v_{\parallel}}\bigg{(}\frac{\omega-k_{\parallel}v_{\parallel}}{v_{\perp}}\frac{\partial}{\partial v_{\perp}}+k_{\parallel}\frac{\partial}{\partial v_{\parallel}}\bigg{)}f_{a}\bigg{]},

where

Vi\displaystyle V_{i} =\displaystyle= (vnJn(b)b,ivJn(b),vJn(b)),\displaystyle\bigg{(}v_{\perp}\frac{nJ_{n}(b_{\perp})}{b_{\perp}},-iv_{\perp}J_{n}^{\prime}(b_{\perp}),v_{\parallel}J_{n}(b_{\perp})\bigg{)},
b\displaystyle b_{\perp} =\displaystyle= kvΩa,b^i=B0iB0,\displaystyle\frac{k_{\perp}v_{\perp}}{\Omega_{a}},\quad\hat{b}_{i}=\frac{B_{0i}}{B_{0}}, (A2)

and JnJ_{n} is the Bessel function. Here, * denotes the complex conjugate.

For the drifting bi-Maxwellian VDF given in Equation (1), it can be shown that

(ωkvvv+kv)fa\displaystyle\bigg{(}\frac{\omega-k_{\parallel}v_{\parallel}}{v_{\perp}}\frac{\partial}{\partial v_{\perp}}+k_{\parallel}\frac{\partial}{\partial v_{\parallel}}\bigg{)}f_{a}
=2π3/2αa4αa[ωkua+(TaTa1)k(vua)]\displaystyle=-\frac{2}{\pi^{3/2}\alpha_{a\perp}^{4}\alpha_{a\parallel}}\bigg{[}\omega-k_{\parallel}u_{a}+\bigg{(}\frac{T_{a\perp}}{T_{a\parallel}}-1\bigg{)}k_{\parallel}(v_{\parallel}-u_{a})\bigg{]}
×exp[v2αa2(vua)2αa2],\displaystyle\quad\times\exp\left[-\frac{v_{\perp}^{2}}{\alpha_{a\perp}^{2}}-\frac{(v_{\parallel}-u_{a})^{2}}{\alpha_{a\parallel}^{2}}\right],
d3vv(vvvv)fa=TaTa1.\displaystyle\int d^{3}v\,v_{\parallel}\bigg{(}\frac{\partial}{\partial v_{\parallel}}-\frac{v_{\parallel}}{v_{\perp}}\frac{\partial}{\partial v_{\perp}}\bigg{)}f_{a}=\frac{T_{a\perp}}{T_{a\parallel}}-1. (A3)

Then, using the plasma dispersion function, Z(ζ)Z(\zeta), and the related identities (Fried & Conte, 1961),

Z(ζ)\displaystyle Z(\zeta) =\displaystyle= dyπ1/2ey2yζ,\displaystyle\int_{-\infty}^{\infty}\frac{dy}{\pi^{1/2}}\frac{e^{-y^{2}}}{y-\zeta},
Z(ζ)2\displaystyle-\frac{Z^{\prime}(\zeta)}{2} =\displaystyle= dyπ1/2yey2yζ,\displaystyle\int_{-\infty}^{\infty}\frac{dy}{\pi^{1/2}}\frac{ye^{-y^{2}}}{y-\zeta},
ζZ(ζ)2\displaystyle-\frac{\zeta Z^{\prime}(\zeta)}{2} =\displaystyle= dyπ1/2y2ey2yζ,\displaystyle\int_{-\infty}^{\infty}\frac{dy}{\pi^{1/2}}\frac{y^{2}e^{-y^{2}}}{y-\zeta},
12[1ζ2Z(ζ)]\displaystyle\frac{1}{2}\left[1-\zeta^{2}Z^{\prime}(\zeta)\right] =\displaystyle= dyπ1/2y3ey2yζ,\displaystyle\int_{-\infty}^{\infty}\frac{dy}{\pi^{1/2}}\frac{y^{3}e^{-y^{2}}}{y-\zeta}, (A4)

and the integrals involving the Bessel functions,

20𝑑χχeχ2Jn2(bχ)=\displaystyle 2\int_{0}^{\infty}d\chi\,\chi\,e^{-\chi^{2}}\,J_{n}^{2}(b\chi)= In(λ)eλ,\displaystyle I_{n}(\lambda)\,e^{-\lambda},
20𝑑χχ3eχ2Jn2(bχ)=\displaystyle 2\int_{0}^{\infty}d\chi\,\chi^{3}\,e^{-\chi^{2}}\,J_{n}^{2}(b\chi)= [λIn(λ)eλ],\displaystyle\left[\lambda\,I_{n}(\lambda)\,e^{-\lambda}\right]^{\prime},
20𝑑χχ2eχ2Jn(bχ)Jn(bχ)=\displaystyle 2\int_{0}^{\infty}d\chi\,\chi^{2}\,e^{-\chi^{2}}\,J_{n}(b\chi)\,J_{n}^{\prime}(b\chi)= b2[In(λ)eλ],\displaystyle\frac{b}{2}\left[I_{n}(\lambda)\,e^{-\lambda}\right]^{\prime},
40𝑑χχ3eχ2[Jn(bχ)]2=\displaystyle 4\int_{0}^{\infty}d\chi\,\chi^{3}\,e^{-\chi^{2}}\,[J_{n}^{\prime}(b\chi)]^{2}= n2In(λ)eλλ\displaystyle\frac{n^{2}I_{n}(\lambda)\,e^{-\lambda}}{\lambda}
2λ\displaystyle-2\lambda\, [In(λ)eλ],\displaystyle\left[I_{n}(\lambda)\,e^{-\lambda}\right]^{\prime}, (A5)

where λ=b2/2\lambda=b^{2}/2, ϵij\epsilon_{ij} in Equations (2) and (2) can be derived.

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