1. Introduction
In astrophysical settings, the use of magnetohydrodynamics (MHD) is successful in the description of the large-scale dynamics of plasma turbulence (e.g. Goldreich & Sridhar Reference Goldreich and Sridhar1995; Bhattacharjee, Ng & Spangler Reference Bhattacharjee, Ng and Spangler1998; Zhou, Matthaeus & Dmitruk Reference Zhou, Matthaeus and Dmitruk2004; Chandran et al. Reference Chandran, Quataert, Howes, Hollweg and Dorland2009; Zhdankin et al. Reference Zhdankin, Boldyrev, Mason and Perez2012; Weidl et al. Reference Weidl, Jenko, Teaca and Schlickeiser2015). At the same time, the use of kinetic formalisms allows us to probe micro-scales in the collisionless limit (e.g. Servidio et al. Reference Servidio, Valentini, Califano and Veltri2012; Wan et al. Reference Wan, Matthaeus, Karimabadi, Roytershteyn, Shay, Wu, Daughton, Loring and Chapman2012; Cerri, Kunz & Califano Reference Cerri, Kunz and Califano2018; Grošelj et al. Reference Grošelj, Chen, Mallet, Samtaney, Schneider and Jenko2019). Gyrokinetic (GK) theory, in particular, is used for the study of turbulence in collisionless magnetised plasma at sub-gyroradius scales (Howes et al. Reference Howes, Cowley, Dorland, Hammett, Quataert and Schekochihin2006, Reference Howes, Dorland, Cowley, Hammett, Quataert, Schekochihin and Tatsuno2008, Reference Howes, Tenbarge, Dorland, Quataert, Schekochihin, Numata and Tatsuno2011; Tatsuno et al. Reference Tatsuno, Dorland, Schekochihin, Plunk, Barnes, Cowley and Howes2009; Tenbarge & Howes Reference Tenbarge and Howes2013; Told et al. Reference Told, Jenko, TenBarge, Howes and Hammett2015; Navarro et al. Reference Navarro, Teaca, Told, Groselj, Crandall and Jenko2016; Teaca et al. Reference Teaca, Navarro, Told, Görler, Plunk, Hatch and Jenko2019, Reference Teaca, Gorbunov, Told, Bañón Navarro and Jenko2021). Theoretical considerations (Schekochihin et al. Reference Schekochihin, Cowley, Dorland, Hammett, Howes, Plunk, Quataert and Tatsuno2008, Reference Schekochihin, Cowley, Dorland, Hammett, Howes, Quataert and Tatsuno2009), numerical simulations (Tatsuno et al. Reference Tatsuno, Dorland, Schekochihin, Plunk, Barnes, Cowley and Howes2009; Told et al. Reference Told, Jenko, TenBarge, Howes and Hammett2015) and satellite observations (Alexandrova et al. Reference Alexandrova, Carbone, Veltri and Sorriso-Valvo2008, Reference Alexandrova, Saur, Lacombe, Mangeney, Mitchell, Schwartz and Robert2009) have shown that at the ion Larmor (gyroradius) scale, as turbulence transitions from a fluid to a kinetic dynamical regime, a break occurs in the spectra of various quantities. Although the scientific community has been aware of this spectral break for the last decade, recent observations from the Parker Solar Probe (e.g. Duan et al. Reference Duan, Bowen, Chen, Mallet, He, Bale, Vech, Kasper, Pulupa and Bonnell2020, Reference Duan, He, Bowen, Woodham, Wang, Chen, Mallet and Bale2021; Vech et al. Reference Vech, Kasper, Klein, Huang, Stevens, Chen, Case, Korreck, Bale and Bowen2020; Zhao et al. Reference Zhao, Zank, Adhikari, Nakanotani, Telloni and Carbone2020) have spurred an interest for understanding the dynamics of this transition.
To study this transition in detail, while accounting for the collisionless regime, a GK formalism can be used for magnetised plasma. Even when the strength of the magnetic guide fields is not that large and the GK ordering is weakened, such as in the solar wind, GK theory is still useful in capturing the main dynamical properties, such as the kinetic Alfvén waves cascade, Landau damping, linear and nonlinear phase space mixing. Although the five-dimensional phase space for GK represents a simplification over the full Maxwell–Vlasov system, it is still too cumbersome to use for systematic studies of the fluid–kinetic transition. For this reason, starting from the electromagnetic GK equations, we derive a four-dimensional drift kinetic system that accounts for the dominant finite Larmor radius (FLR) effects. We preserve the three spatial directions and the parallel velocity direction that will allow us to account for the important parallel phase mixing dynamics.
In essence, starting from the GK equations and employing a Laguerre decomposition in the perpendicular velocity direction (§ 2), retaining only the dominant gyroaverage contributions and only the first two Laguerre moments for the distribution functions, we obtain a closed set of four-dimensional kinetic equations valid in the large-scale drift kinetic limit (§ 3). In addition to the three dimensions in position space, we retain the parallel velocity direction, which we describe via a Hermite representation (§ 4). The model we propose conserves free energy and describes electromagnetic turbulence for a plasma at the transition between fluid and GK regimes ($k_\perp \rho _i\approx 1$
range of scales), accounting for FLR effects. It allows for Landau damping, and can allow or potentially prohibit parallel mixing to occur due to turbulent plasma echoes (Schekochihin et al. Reference Schekochihin, Parker, Highcock, Dellar, Dorland and Hammett2016; Kawazura, Barnes & Schekochihin Reference Kawazura, Barnes and Schekochihin2019; Meyrand et al. Reference Meyrand, Kanekar, Dorland and Schekochihin2019). The strength of the model consists in linking with GK at $k_\perp \rho _i> 1$
scales, while allowing for any (gyro) fluid nature for the ions or electrons species to emerge naturally and without any other physical assumption. By doing so, the model also serves to capture the correct dynamics of magnetised plasma turbulence at scales that are smaller than the largest of collisional MHD scales, and potentially study the collisional/collisionless transition of MHD, well before GK scales are reached ($k_\perp \rho _i\approx 1$
). Compared with existing kinetic-reduced MHD (KRMHD) models (Schekochihin et al. Reference Schekochihin, Cowley, Dorland, Hammett, Howes, Quataert and Tatsuno2009; Zocco & Schekochihin Reference Zocco and Schekochihin2011; Kunz et al. Reference Kunz, Abel, Klein and Schekochihin2018), which assume isothermal fluid electrons or low plasma beta limit, the equations we present do not make a priori assumptions regarding physical parameters, only on the scales that the model is applicable. Numerically, it will represent a good compromise that will allow for the study of how fluid constraints (similar to magnetic-helicity and cross-helicity in MHD) can affect the transition towards the kinetic dynamics, or how the microphysics affect the macrophysics of the plasma (Meyrand et al. Reference Meyrand, Squire, Schekochihin and Dorland2021). Considering that the nonlinear interaction of spatial structures and the velocity phase mixing in the parallel direction represent the main dynamics of kinetic turbulence, the model also offers a simplified system for the study of the interplay between spatial turbulence and parallel phase mixing when electromagnetic interactions are present.
2. GK equations in Laguerre space as a starting point
2.1. The GK equations
The starting point for our derivation is given by the GK equations in the presence of a straight magnetic guide field (acting here in the $z$
-direction, $B_0\hat {\boldsymbol {z}}$
). The community regularly employs the GK equations in the study of kinetic plasma at sub-gyroradius scales ($k_\perp \rho _i > 1$
), and we have used them to probe the fundamental nature of GK turbulence (Teaca et al. Reference Teaca, Navarro, Jenko, Brunner and Villard2012; Teaca, Navarro & Jenko Reference Teaca, Navarro and Jenko2014; Teaca, Jenko & Told Reference Teaca, Jenko and Told2017; Teaca et al. Reference Teaca, Navarro, Told, Görler, Plunk, Hatch and Jenko2019, Reference Teaca, Gorbunov, Told, Bañón Navarro and Jenko2021). A simple $\delta f$
-derivation of the GK equations for a Maxwellian background distribution function ($F_s$
) is presented in Howes et al. (Reference Howes, Cowley, Dorland, Hammett, Quataert and Schekochihin2006) and Schekochihin et al. (Reference Schekochihin, Cowley, Dorland, Hammett, Howes, Quataert and Tatsuno2009) and as such, we do not insist here on the GK construction.
For $h_s = h_s(\boldsymbol {R}_s,v_{\parallel },\mu)$
the non-adiabatic part of the GK distribution function (with the particle perturbed distribution function being found as $\delta f_s= - q_s \phi F_s/T_s + h_s$
), we simply list in the following the GK equations in non-dimensional form and in the absence of collisions
where $\{\chi _s, h_s\}=(\boldsymbol {\nabla } \chi _s \times \boldsymbol {\nabla } h_s)\boldsymbol {\cdot } \hat {\boldsymbol {z}}$
is the nonlinearity written in term of a Poisson bracket structure, $v_{Ts}=(\sqrt {2T_s/m_s})$
is the thermal velocity for a species $s$
of charge $q_s$
, mass $m_s$
and background temperature $T_s$
(all expressed in terms of reference units, see appendix A). The perpendicular velocity dependence is expressed in term of the magnetic moment $\mu$
(in non-dimensional form, $\mu B_0= v_\perp ^2$
) and the equilibrium distribution function $F_s$
has the simple form
Here, $\chi _s$
is the gyroaveraged GK potential. It is convenient to represent it in Fourier space, as the gyroaverage operations reduce to the multiplication of Bessel functions of zero ($J_0$
) and first ($J_1$
) order,

The electrostatic potential ($\phi$
), magnetic potential in the parallel direction ($A_\parallel$
) and magnetic fluctuation in the parallel direction ($B_{\parallel }$
) are obtained in wave space from their respective field equations,



where $\beta =8{\rm \pi} n_{\textrm {ref}} T_{\textrm {ref}}/B_{\textrm {ref}}^{2}$
is defined in terms of the reference temperature $T_{\textrm {ref}}$
, density $n_{\textrm {ref}}$
and magnetic intensity $B_{\textrm {ref}}$
. We also use
From the GK equations, we see that the gyroaverage operations, captured by the Bessel functions, smear $k_\perp$
structures into $\mu$
structures at $k_\perp \rho _i > 1$
. In the $k_\perp \rho _i \ll 1$
limit, for which the Bessel functions tend towards one, if no initial $\mu$
structure is present in $h_s$
, the GK equations cannot generate subsequent $\mu$
structures and we can integrate over the $\mu$
direction without any loss of information. To see this better, and to integrate $\mu$
in a consistent way, we make use of a Laguerre transform approach.
2.2. Laguerre transform
A recent detailed approach for the use of a Laguerre transform for the GK system can be found in Mandell, Dorland & Landreman (Reference Mandell, Dorland and Landreman2018). Here, we present only the information needed to understand the transformations we employ in our derivation. A notable simplification is that we resume to a constant $B_0$
rather than the more general $B_0(z)$
approach employed by Mandell et al. (Reference Mandell, Dorland and Landreman2018). However, we do not resume to the simpler electrostatic limit, and consider electromagnetic fluctuations in our derivation.
For convenience, we define the Laguerre (basis) functions as
where $L_l(x) = ({{\rm e}^x}/{l!})({{\rm d}^l}/{{{\rm d}x}^l})x^l \,{\rm e}^{-x}$
are Laguerre polynomials. The Laguerre functions obey the orthonormality condition,
which results from the orthogonality condition of the Laguerre polynomials $L_l(x)$
around the ${\rm e}^{-x}$
weight function (note that $\psi _l(x) \,{\rm e}^{-x}=\psi ^l(x)$
). In our derivation, we also make use of the recurrence relation
The decomposition of a function $f(\mu )$
in term of the Laguerre basis $\psi ^l$
is done as

with the spectral amplitude $\hat {f}_l$
for the Laguerre modes $l$
being found simply as
The Laguerre transforms given by (2.13) and (2.14) allows us to obtain the GK equations in Laguerre space. Apart from projecting $h_s$
, we also need to project $J_0(\lambda _s)$
and $({2}/{\lambda _s}) J_1(\lambda _s)$
onto the Laguerre basis. In the drift kinetic limit, retaining the contribution of the Bessel functions will allow FLR effects to be preserved (Dorland & Hammett Reference Dorland and Hammett1993).
Remembering that $\lambda _s = \sqrt {2\mu B_0 b_s}$
, and omitting the species subscript $s$
, we write the Bessel functions of order $n$
in terms of the basis $\psi _l$
, with the coefficients $\mathcal {J}_{nl}$
obtained via a generating function, i.e.

where
Obtaining the same decomposition for the $({2}/{\lambda _s}) J_1(\lambda _s)$
function requires an extra manipulation. Using the well-known recurrence formula for the Bessel functions, we arrive at the expression

The coefficients for the $({2}/{\lambda _s}) J_1(\lambda _s)$
function are labelled as $\tilde {\mathcal {J}}_{1l}$
[the tilde notation is used to distinguish it form the coefficients of $J_1(\lambda _s)$
] and we express it via the generating function involving $\langle J_0 \rangle$
and $\langle J_2 \rangle$
. From (2.16) we obtain
and the coefficients for the Bessel functions of interest are obtained as
Compared with Mandell et al. (Reference Mandell, Dorland and Landreman2018), because we account for electromagnetic fluctuations, we needed to obtain $\tilde {\mathcal {J}}_{1l}$
. For clarity, the GK equations in Laguerre space are presented next.
2.3. GK system in Laguerre basis
We start by looking at the field equations in Laguerre basis. For $\phi$
, given by (2.4), we use (2.13) for the representation of $h_s$
and (2.15) for the representation of $J_0(\lambda _s)$
. We obtain

where we used the orthogonality condition (2.11) to obtain the second line. The same approach is used for $A_\parallel$
, which gives

For the $B_\parallel$
field equation, after the Laguerre representation for each contributing function is inserted in the first step, we extract $\mu \psi ^j$
from the recurrence relation (2.12) in the second step and use the orthogonality condition (2.11) in the last step, obtaining

With the electromagnetic potentials and fields determined, to project the GK potential (2.3) onto the Laguerre basis, we need to express the Bessel functions contributions and use again the recurrence relation (2.12) to express $\mu \psi _j$
, before employing the orthogonality condition (2.11). The $\hat {\chi }_l$
spectral amplitude gives

To obtain the GK equation (2.1) on the Laguerre basis, we look at each term independently. We remind the reader that because the Bessel functions are expressed in terms of the basis $\psi _l$
, and because the explicit $\mu$
dependence in the $B_\|$
term is handled via a Laguerre polynomials recurrence formula, the Laguerre expansion of $\chi$
occurs in terms of the basis $\psi _l$
, i.e. $\chi =\sum _l \psi _l \hat {\chi }_l$
. The linear terms are computed in a straightforward manner,



The only complication arises from the nonlinear term, which, as presented in Mandell et al. (Reference Mandell, Dorland and Landreman2018), is expressed as a convolution

where $\alpha _{l\kappa n}$
is a convolution coefficient computed as

with the summation limits over $j$
being chosen to ensure that the factorials under the sum remain non-negative. Putting all the terms together, gives the GK equation for a Laguerre mode $l$
as

With the GK equation expressed in Laguerre spectral space, we can now take a drift kinetic long-wavelength limit, while retaining FLR effects. We do this in the next section and obtain the equations of interests.
3. Drift-kinetic system of equations
3.1. Drift-kinetic limit
In a drift-kinetic approach, the long-wavelength limit $k_\perp \rho _s\rightarrow 0$
leads to $b_s\rightarrow 0$
. Dispensing with the species label, for $b\rightarrow 0$
all $l\ne 0$
terms in (2.20) and (2.21) will tend towards zero (see figure 1). The only non-zero contributions, for $l=0$
, are responsible for retaining FLR effects and have the explicit form,
Absolute value of moments $\mathcal {J}_{0l}$
and $\tilde {\mathcal {J}}_{1l}$
. With $b\rightarrow 0$
, all the higher moments approach zero.

We would like to emphasise that we do not make any assumptions on the ratio between of the species’ gyroradii. When this ratio is sufficiently large, one may wish to make further simplifications to the model and potentially neglect FLR effects for the particle species with the smallest gyroradius. However, we consider here the most general case, also applicable to the electron–positron plasma, in addition to the commonly studied proton–electron system. To obtain our equations, which retain the dominant FLR contributions, we set $\mathcal {J}_{0l}=0$
and $\tilde {\mathcal {J}}_{1l}=0$
for all $l>0$
in the GK equations expressed in Laguerre form. By doing so, the field equations (2.22)–(2.24) now give



Looking next at the GK potential and its spectral amplitudes $\hat {\chi }_l$
(2.25), because we set $\mathcal {J}_{0l}=\tilde {\mathcal {J}}_{1l}=0$
for all $l>0$
, only $l = 0,1$
contributions remain. We find $\hat \chi _0$
and $\hat {\chi }_1$
to be
with all other contributions ($l>1$
) being zero.
We now see that although (3.3) and (3.4) only include the zeroth Laguerre moment of the distribution function $h$
, (3.5) also depends on the first moment. Therefore, one can solve the GK system for only the first two moments of the distribution function. The only apparent problem is due to the nonlinear terms, which for $l=0$
equations are given as $({1}/{B_0})\sum _{\kappa = 0}^\infty \sum _{n = |\kappa -0|}^{\kappa +0} \alpha _{0\kappa n}\{ \hat {\chi }_n, \hat {h}_\kappa \}$
, and for $l=1$
are found from $({1}/{B_0})\sum _{\kappa = 0}^\infty \sum _{n = |\kappa -1|}^{\kappa +1} \alpha _{1\kappa n} \{ \hat {\chi }_n, \hat {h}_\kappa \}$
. However, because for $\hat {\chi }_n$
in the nonlinear terms only $n=0$
and $n=1$
terms are non-zero, and computing the required convolution coefficients $\alpha _{0\kappa n}$
and $\alpha _{1\kappa n}$
from (2.30), we obtain that the nonlinear terms are expressed solely in term of $\hat {h}_0$
and $\hat {h}_1$
,
We see that we obtain a closed set of equations. With $\hat {h}_0=\hat {h}_0({\boldsymbol R},v_\|)$
and $\hat {h}_1=\hat {h}_1({\boldsymbol R},v_\|)$
obtained explicitly as the largest $\mu$
space scale structure, our four-dimensional set of equations retain dominant FLR effects. It should be noted that the nonlinear coupling between $\hat {h}_0$
and $\hat {h}_1$
arises due to the nonlinear FLR phase mixing, described by Dorland & Hammett (Reference Dorland and Hammett1993) and Schekochihin et al. (Reference Schekochihin, Cowley, Dorland, Hammett, Howes, Quataert and Tatsuno2009). As long as $\mathcal {J}_{0l}=\tilde {\mathcal {J}}_{1l}=0$
for all $l>0$
holds effectively true (the reader should see figure 1 and decide on their own up to which scale would this constitute a reasonable simplification), our equation offers a good approximation to the full GK dynamics. The equations themselves serve to capture electromagnetic plasma turbulence in the drift kinetic limit, while allowing to transition into the sub-gyroradius range of scales captured by GK theory. Our equations account for the linear phase mixing that occurs in $v_\|$
space due to the particle–field resonance. With an interest in the interplay between spatial turbulence and $v_\|$
space mixing, we perform in the next section a Hermite representation of our equations in the $v_\|$
direction and a Fourier representation for spatial scales. We first comment on the conservation of free energy and the electrostatic approximation.
3.2. Free energy conservation
Following the works of Howes et al. (Reference Howes, Cowley, Dorland, Hammett, Quataert and Schekochihin2006) and Schekochihin et al. (Reference Schekochihin, Cowley, Dorland, Hammett, Howes, Quataert and Tatsuno2009), in Teaca et al. (Reference Teaca, Gorbunov, Told, Bañón Navarro and Jenko2021) we took the ${\boldsymbol R}$
-density for the free energy contribution of a species $s$
to be $W_s({\boldsymbol R},t)= {\rm \pi}\int {\rm d} v_\| \,{\rm d}\mu B_0 [h_s- ({q_s F_s}/{T_s}) \chi ]({T_s}/{F_s})h_s$
. The quantity $W_s({\boldsymbol R},t)$
recovers the free energy upon summing over the plasma species and integrating over the position space, while allowing us to track the nonlinear balance of free energy. Dropping the species label, using for our drift kinetic system $g_0 = h_0- ({q_s}/{T_s}) {{\rm e}^{-v^2_{\parallel }}}{{\rm \pi} ^{-3/2}} \chi _0$
and $g_1 = h_1- ({q_s}/{T_s}) {{\rm e}^{-v^2_{\parallel }}}{{\rm \pi} ^{-3/2}} \chi _1$
, we obtain in non-dimensional form $W({\boldsymbol R},t)= {\rm \pi}^{5/2} T \int {\rm d} v_\|\, {\rm e}^{{v_\parallel ^2}}[\hat h_0 \hat g_0+\hat h_1 \hat g_1]$
.
multiplying (3.10) by $\hat {h}_0$
and (3.11) by $\hat {h}_1$
and summing them we obtain

where the Poisson bracket and the $z$
derivatives term integrate spatially to zero. We find that $\int {\rm d}{\boldsymbol R}\partial W/\partial t \equiv \int {\rm d}{\boldsymbol R}[ h_0\partial g_0/\partial t + h_1\partial g_1/\partial t ]=0$
, which shows that the free energy $W$
is conserved globally in the absence of collisions or external energy sources in the system.
3.3. Electrostatic case
The electrostatic limit ($\beta \rightarrow 0$
) represents a special case of interest for our drift-kinetic equations. It can be used to compare with other drift-kinetic models derived solely for electrostatic fluctuations.
With $A_\parallel$
and $B_\parallel$
fields vanishing, there is no need to keep the first Laguerre moment ($h_1^m$
) and its associated equations. Therefore, our drift kinetic equations reduce to that describing the evolution of the zeroth Laguerre moment,
with

Going further and selecting an adiabatic species, can lead to a further simplified model as presented in Hatch et al. (Reference Hatch, Jenko, Bratanov and Navarro2014) in a Fourier–Hermite spectral form. In the next section we present the Fourier–Hermite spectral form for our system.
4. Drift-kinetic system of equations in spectral form
To finish writing our drift kinetic equation is spectral form, we utilise a Hermite decomposition for $v_\|$
and a Fourier decomposition in $\boldsymbol R$
. We first perform the Hermite representation.
4.1. Hermite basis projection
For convenience, we chose the Hermite function basis used by Mandell et al. (Reference Mandell, Dorland and Landreman2018). The Hermite functions in question are given as
where $He(v_\parallel ) = {\rm e}^{v_\parallel ^2}({{\rm d}^m}/{{\rm d} v_\parallel ^m})\,{\rm e}^{-v_\parallel ^2}$
are Hermite polynomials. The Hermite functions obey the orthogonality condition
and, among others, the recurrence relation
The decomposition on the Hermite basis is done in the same manner as it was done for the Laguerre basis. The function in Hermite basis can be represented as

with spectral amplitude
In Hermite space, by using $\psi _0(v_\|)=1$
and the recurrence formula (4.4), the field equations are found to be


where for $B_\parallel$
the procedure is the same as for (4.7). To help with the representation of the GK equation in Hermite space, as the $A_\|$
contribution contains a $v_\|$
factor, and the $B_\|$
contribution is the same in (3.6) and (3.7), we represent $\hat \chi _0$
and $\hat \chi _1$
as
with
The projection of the GK equation on the Hermite basis is done in a straightforward manner. One has to use (4.5) for $h_0$
and $h_1$
, the recurrence formula (4.4) for terms that contain $v_\|$
, and then integrate over ${\rm \pi} \int _{-\infty }^{+\infty } {\rm d} v_\parallel \xi _m$
. As an example we look at the nonlinear term $({1}/{B_0})\{ \chi _0, h_0\}$
, which becomes

The GK equations expressed in Hermite space have the form


Expressing these equations in Fourier space is trivial and we simply present them in the next section.
4.2. Drift-kinetic system in spectral space
To keep notation as simple as possible, we write the Fourier space representation for the Poisson bracket between two functions $f$
and $g$
as

Dispensing with the $\widehat {\cdots }$
designation for (Fourier–Hermite–Laguerre space) modes to further simplify notation, the drift-kinetic equations in spectral form have the form


where it is convenient to use the modified GK distribution functions,
with the GK potential contributions given as
for fields


and Bessel function contributions that account for FLR effects,
These are the equations that will be solved numerically in a pseudo-spectral form or in a triad reduced model for the nonlinear terms. We have not included a collision operator in our presentation. One can chose to use that presented in Mandell et al. (Reference Mandell, Dorland and Landreman2018), or simply use a Laplacian or hyper-Laplacian expressed locally in $m$
and $k_\perp$
space as a means to provide a sink of free energy at small scales. However, in the collisionless regimes, the dissipation of free energy from a truncated range of scales is due to an anomalous dissipation generated by the flux of free energy to the unresolved scales (Eyink Reference Eyink2018). With this discussion being lengthly and requiring numerical results to support it, we choose not to delve into the presentation of any dissipative mechanism.
5. Conclusions
The goal of this article was to derive a set of four-dimensional drift kinetic equations that conserve free energy, and are capable of describing electromagnetic turbulence in a magnetised plasma at the transition between fluid and GK regimes ($k_\perp \rho _i\approx 1$
range of scales). Starting from the GK equations, we have employed a Laguerre decomposition of the distribution functions in the perpendicular velocity direction and have retained only the first two Laguerre moments that source the electromagnetic fluctuations. FLR effects are kept via the dominant contributions of the Bessel functions, expanded in a Laguerre polynomial basis, allowing for the transition into the GK range of scales to be possible.
The Laguerre–Hermite representation has been used in Mandell et al. (Reference Mandell, Dorland and Landreman2018) to present a spectral approach for electrostatic GK in toroidal magnetic geometry. Here, not only have we expanded this to electromagnetic fluctuations, we have effectively integrated out the $\mu$
dependence to reduce the dimensions of the kinetic system at $k_\perp \rho _i <1$
. In addition to the three dimensions in position space, we retained the parallel velocity dependence, which we captured via a Hermite representation. Employing this system, but without any other physics-based assumptions for the plasma species, will allow us to investigate how fluid effects transition into the kinetic range in the astrophysical context. However, it should be noted that in the case of toroidal topology of the magnetic field, which is particularly important for tokamak studies, an additional coupling of Laguerre moments arise due to curvature of the magnetic field, as well as $m,m+2$
coupling in the Hermite representation of the parallel velocity dynamics. Due to these complications, taking the drift kinetic limit is less straightforward. However, due to the fact that there is only $l,l+1$
coupling of Laguerre moments arising due to toroidicity (Mandell et al. Reference Mandell, Dorland and Landreman2018), we expect that it is still possible to consider only $l = 0,1$
Laguerre moments when taking drift kinetic limit even in toroidal geometry.
As our equations consider only the first two Laguerre moments, it makes it similar to the gyrofluid models developed by Beer & Hammett (Reference Beer and Hammett1996) and Dorland & Hammett (Reference Dorland and Hammett1993) and kinetic fluid models (Snyder, Hammett & Dorland Reference Snyder, Hammett and Dorland1997; Snyder & Hammett Reference Snyder and Hammett2001). Indeed, the drift kinetic model presented in this work can be seen as a step towards gyrofluid models. However, our system is not limited to four or three parallel velocity moments, allowing for the desired flexibility when studying parallel velocity dynamics. This is particularly important in order to study the interplay between the turbulence and parallel velocity mixing.
Currently, there are a large number of models describing the astrophysical plasma in the large span of scales natural for such systems (Schekochihin et al. Reference Schekochihin, Cowley, Dorland, Hammett, Howes, Quataert and Tatsuno2009; Zocco & Schekochihin Reference Zocco and Schekochihin2011; Adkins & Schekochihin Reference Adkins and Schekochihin2018). In general, they all can be combined into three big groups: (i) kinetic models that take into account all the kinetic effects, (ii) MHD models that treat plasma as a fluid of charged particles and (iii) KRMHD models (Kunz et al. Reference Kunz, Abel, Klein and Schekochihin2018; Meyrand et al. Reference Meyrand, Kanekar, Dorland and Schekochihin2019) that assume isothermal (fluid) electrons, which are applicable for scales approximately equal to that of the ion gyroradius. The latter models provide the computational effectiveness, and are able to capture some important kinetic effects. However, because most of those models utilise additional physical assumptions to eliminate one of the species, some of the kinetic effects can fall out of the scope of these models, or they can be captured in a very slim way. For example, KREHM of Zocco & Schekochihin (Reference Zocco and Schekochihin2011), although utilising the same Hermite basis projection along $v_\parallel$
(see Loureiro et al. (Reference Loureiro, Dorland, Fazendeiro, Kanekar, Mallet, Vilelas and Zocco2016) for numerical implementation), considers fluid ions and low beta plasma, whereas the presented equations describe ions and electrons in kinetic regime, with no a priori assumptions regarding the plasma beta. In work done by Schekochihin et al. (Reference Schekochihin, Cowley, Dorland, Hammett, Howes, Quataert and Tatsuno2009), the ion-Larmor radius transition is treated by electron reduced MHD (ERMHD), which is based on the assumption that magnetic field is frozen into the electron flow, and ions remain immobile. In the present work, we do not make such assumptions. Therefore, our choice was to use the route highlighted by Brizard (Reference Brizard1992) and derive a more comprehensive drift-kinetic model, in order to track down kinetic effects arising at the border of transition from fluid to (gyro)kinetic turbulence. Our approach is better suited to the analysis of the interplay between spatial and velocity space mixing for electromagnetic plasma turbulence, as no a priori assumption on the fluid nature of a species is made. This will be pursued numerically via pseudo-spectral solvers and low-dimensional models.
Acknowledgements
BT would like to thank Gabriel Plunk and David Hatch for discussions on GK dynamics and reduced models.
Editor Alex Schekochihin thanks the referees for their advice in evaluating this article.
Declaration of interests
The authors report no conflict of interest.
Appendix A. Normalisation
We follow the standard normalisation procedure often used in GKs. We use the reference particle species for normalisation of charge $q_{\textrm {ref}} = e$
, mass $m_{\textrm {ref}}$
, temperature $T_{\textrm {ref}}$
and density $n_{\textrm {ref}}$
. Spatial dimensions are normalised by $\rho _{\textrm {ref}}$
for $\{x,y\}$
and $L_{\textrm {ref}}$
for $z$
direction, where $L_{\textrm {ref}}$
is an arbitrary large length compared with reference gyroradius $\rho _{\textrm {ref}}$
. The reference gyrofrequency is then computed as $\varOmega _{\textrm {ref}} = {e B_{\textrm {ref}}}/{m_{\textrm {ref}} c} = {c_{\textrm {ref}}}/{\rho _{\textrm {ref}}}$
, where $c$
is the speed of light and $B_{\textrm {ref}}$
is the amplitude of the background magnetic field. Reference thermal velocity is taken to be $c_{\textrm {ref}} = \sqrt {{T_{\textrm {ref}}}/{m_{\textrm {ref}}}}$
, and reference magnetic moment is then $\mu _{\textrm {ref}} = {T_{\textrm {ref}}}/{B_{\textrm {ref}}} = {c_{\textrm {ref}}^2 m_{\textrm {ref}}}/{B_{\textrm {ref}}}$
. Then, the normalisation procedure is simple and straightforward:

All the quantities with $\bar {*}$
symbol above them are normalised, non-dimensional quantities. In the main body of the article, overline symbol was omitted for convenience. The distribution functions and background equilibrium distribution are normalised as following:

Fields and GK potentials normalisation is





