1. Introduction
An important role of zonal flows (ZFs) in regulating turbulence and transport in tokamaks is now broadly accepted. The regime of near marginality [
1] is not merely academically appealing as a paradigmatic model but it is of practical interest for its rich dynamics and for it allows the appearance of self-organization. Plasma turbulence differs in many ways from fluid turbulence and in tokamaks it is mostly driven by the free energy source of many micro-instabilities, essentially the gradients of density and temperature. In the core of the tokamak plasma, these micro-instabilities are driven by the ion temperature gradient (ITG) which concerns circulating ions. However when the frequency of the ITG mode falls below the ion bounce frequency, the dynamics of the ion trapped particles become important and one then speak of trapped ion modes (TIM). Another classes of instabilities driven by electrons are the electron temperature gradient (ETG) modes for circulating electrons but also the trapped electron modes (TEMs).
It is presently well known that turbulent transport in tokamaks is dominated by the ITG and TEM modes (see [
2,
3,
4]). Early studies of plasma turbulence concerned drift-wave turbulence models, a reduced approach which clearly shows the generation of mesoscales structures such as zonal flows (ZFs), sheared flows. Motivated by the experimental discovery of a low-to-high (LH) transition in the plasma confinement, experimental and theoretical works in the two last decades have focused on whether the turbulence associated with the H-mode might be regulated by interactions with ZFs or shear flows. In particular the generation of zonal flow by finite beta drift waves or kinetic drift wave was investigated by Guzdar et al. in [
5,
6] showing the importance of parametric-type processes in the LH transition.
ZF dynamics are mesoscopic phenomena occurring at spatial scales in between the turbulence correlation length and the inverse characteristic gradient scale of the density profiles. ZFs may regulate and partially suppress drift-wave turbulence and associated transport. A simplified picture of such a phenomena was provided by the “predator-prey” model by Kim and Diamond [
7] or Malkov et al. (2001) [
8,
9]. Based on a description of the coupled drift-wave turbulence ZF interaction, the model takes into account a population of drift-wave “quanta” (acting as prey), which grows through the linear ITG instability and feeds ZF (the predator) through the Reynolds tensor. Thanks to its relative simplicity, this model provide useful insight in the complex dynamics under investigation and in the dynamics of ZF. While considerable progress has been achieved in the understanding of the ZF physics (a review of physics ZF can be found in [
10]), many aspects of the ZF dynamics remain nevertheless poorly understood.
When toroidal effects, such as magnetic curvature and
drifts, are incorporated in the model and when a proper (reduced) kinetic treatment of trapped particles is used, the most prominent type of long wavelength micro-instabilities is collisionless TIMs (CTIMs) in the presence of a significant ion temperature gradient. CTIMs are a simple prototype of kinetic modes induced by the resonance of trapped ions with fluctuations through their precession motion. A major role in the complex interaction of ZFs and CTIM turbulence is expected to be played by mesoscopic non linear structures, which are called streamers, that result from the non linear dynamics of CTIM instabilities. Thus CTIMs introduce an alternate state dominated by oscillating low-frequency zonal flows (LFZFs) [
11,
12,
13,
14] near the critical temperature gradient threshold which can lead to a new type of intermittent dynamics where resonant kinetic processes may take place. Streamers are observed in numerical simulations studied in [
15] and appear to be closely associated with avalanche type transport events [
4]. While TIM turbulence contribute to enhance the transport owing to their radial elongation structures (non linear streamers) and thus to amplify the growth of ZF by resonance, the resulting LFZF is believed to be responsible for suppression fluctuations and stabilisation of turbulence. It has been shown in [
16] that such LFZFs are key ingredients to trigger a bifurcation toward the generation of transport barriers.
A clear indication of the key role played by such LFZFs was the observation at the experimental advanced super-conducting tokamak (EAST) [
17] of a low-frequency signal at a few kilohertz attributed to such LFZF, a signal which has been observed at a much lower frequency than the standard geodesic acoustic modes (GAMs) [
18,
19]. This brings us to an important question about the physical origin of these low-frequency oscillations while the usual ZF frequency is usually considered to be zero in the hydrodynamical approach, i.e., when excited by the standard Reynolds stress. Such LFZFs differ from the high-frequency GAMs. GAMs are not typically observed in the H mode plasma. From a physical point of view, GAM can be considered as an ion acoustic wave (IAW) in the geodesic version due to the magnetic geometry of the tokamak. On the experimental side, some of the defining GAM characteristics have been observed, including the occurring of a low frequency ZF counterpart [
14,
20,
21,
22]. The amplitude of such low frequency ZF was seen to increase with decreasing
, while the GAM intensity appears to decrease. Oscillations of electrostatic nature have been observed in the plasma edge at much lower frequency than the GAM in the EAST tokamak experiment [
17]. The fluctuating potential power spectra exhibit a peak close to 2 kHz with two harmonics and with background peaking of 80kHz, while GAM does not appear to be active in the low-high transition under these experimental conditions. It was also reported that the frequency spectrum may exhibit more intermittent features. The existence of three-wave coupling between the turbulence in 80kHz and the low-frequency 2 kHz oscillations was also reported in this experiment. Similar behaviour was also reported in the ASDEX -Upgrade tokamak [
20].
Moreover, more recently in [
11], the authors have derived an analytical fluid model based on the use of a multiple spatio-temporal technique and ballooning modelling to study the growth of LFZF driven by direct phase modulation. This model allows recovering the concept of Blob-hole temporal structure [
23] and the formation of two distinct mesoscopic structures referred, by the authors, as Caviton [
24] (a region of strong reduced wave energy) and instanton [
11,
25] (a local temporal burst in the propagation of the energy).
In this article, by using a Hamilton-Jacobi formalism using action-angle variables, we focus on the physical mechanism which leads to the formation and the amplification of self-organised transport barriers (TBs) induced by the resonance with oscillating LFZF. While zero-frequency ZFs are quite non resonant, being relatively easy to drive up by the Reynolds stress, this new LFZF which results from toroidal geometry and kinetic effects, becomes then sensitive to a strong amplification driven by the resonant interaction between CTIM and CTEM provided that a polarisation source is high enough to generate an initial shear flow. In particular, we present numerical results obtained from the numerical integration of a reduced hamiltonian (Vlasov) gyrokinetic model for the trapped particle modes, and based on the action-angle model discussed in [
12,
13,
26] and in Refs. [
27,
28,
29] for two species. We address here the physical mechanisms responsible to strong amplification of ZF and the resulting TB’s formation. This paper is organized as follows. Basic equations of the trapped-particle model are presented in
Section 2 while physical properties are recalled in
Section 3. Issues related to the three-mode parametric decay are then addressed in
Section 4. Numerical results relevant to the resonant growth of ZF are then presented in
Section 5. Finally conclusion and future works are offered in
Section 6.
2. Hamilton-Jacobi Model for Ion Temperature Gradient (Itg) Turbulence
The model, we consider here, describes the dynamics of trapped particle modes (TPMs) in which the gradients of temperature provide the source of free energy (the density gradient being zero initially without polarization source). TPMs have been obtained by gyro-averaging the particle dynamics over fast scales i.e., over the cyclotron frequency
and bounce
motions in the toroidal geometry, where the index
s refers to the considered species
for electrons or ions respectively. This task is made easier in the framework of the Hamiltonian- Jacobi formalism using action- angle variables (see the works of [
26,
30] or more generally of [
31,
32]). Due to their curvature drift, the orbits of trapped ions exhibit “banana” shape centred on the low magnetic field side. The low-frequency response for TPM is obtained by making a phase-angle average over the cyclotron phase and the bounce motion leading to invariance of the total energy
and of the so-called adiabatic invariant
, where
is the perpendicular velocity.
Here the label G is a conventional notation which refers to the guiding centre and refers to polar coordinates. In agreement with the experimental conditions, we consider low beta values and a poloidal field lower than the toroidal magnetic field . Here the modulus of the magnetic field is given by where is the minimal value of the magnetic field amplitude B at ( being then the major radius and the minor radius). In this configuration the poloidal flux is linked to the poloidal field by and where q is the safety factor. Here is the inverse aspect ratio.
Rather than working with the adiabatic invariant
, it was interesting to introduce the pitch angle parameter
defined by the relation
where
. Particle trapping occurs when
while particles are passing if
where
and
. Thus particles are passing if
and trapped if
. The parallel velocity takes then the following form:
where
and
is the sign of the parallel velocity. For passing particles, the integrals over
run over the interval
using up-down symmetry. It is then convenient to introduce the change
, which spans
to obtain the Elliptic functions. For trapped particles, where
, it is better to introduce the change of variable
where the new variable
spans
.
We restrict our approach to identical classes of solutions of trapped particles keeping the same parameter
for both electron and ion populations. We have assumed here that this dependency is realised in the amplitude term of the bounce frequency, thus the quantity
is taken identical for both species of particles. Following the work of Kadomtsev and Pogutse in [
33,
34], the bounce and precession frequencies are given respectively by the following relations:
where
is the magnetic shear.
and
are the complete elliptic integrals of the first and second kind respectively.
Trapped particles are described by two invariants
and
and by the distribution function
where
is the precession angle and
the poloidal flux. The distribution function
for the species
s (with
for electrons and ions respectively) in banana orbits fulfils the Vlasov equation:
with the advective-term depending on the gyro-average operator
. The model consists of solving
times
Vlasov equations in a parallel way coupled nonlinearly by the quasi-neutrality equation. Here
and
denote the number of values for “sampling” the parameters
and
respectively.
Here
denotes the standard Poisson bracket which reads as
This gyro-average operator
introduces a “banana” scale
corresponding to the width of the particle’s trajectory in the
direction, while the gyro-phase average on the Larmor radius
acts along the direction of the precession angle
. Here
was approximated by the Pade’s relation giving to:
The Vlasov Equation (
4) is then coupled, in a self-consistent way, with the quasi-neutrality condition
which becomes here
where
is the gyro-averaged density of species
s. Here the operator, which indeed describes polarization effects, is given by
which introduces different spatial scales. In (
6) we have introduced the normalized quantities
with
. The polarization effects have been taken into account in the quasi- neutrality equation by the introduction of the polarization density (the Laplacian term). In (
7),
and
are constants accounting for the fraction of trapped particle
(here assumed to be identical for both trapped populations) and we have finally
where
is the ratio of the electron to the ion temperature. The first term in Equation (
7), in the left hand side (lhs), comes from the adiabatic condition of circulating electrons while the second term is due to the polarization charge. We define by
the density of species
s by the relation
and
is the gyro-averaged density obtained from Equation (
10) by replacing the distribution
by
. Finally trapped ion turbulence develops on length scale of the order of the banana width
and time scale determined by
where
. Here
is constant since we have neglected the dependence in
and is found close to
. Notice that for electrons the sign of
is negative. In all simulations presented here, the diffusion coefficient
is zero everywhere excepted in a small region (5% of the total space) on the boundary limit in the poloidal flux to maintain the stability of your numerical scheme when strong turbulence emerges. Such approach is kinetic in nature and can be reduced to the Hasegawa- Wakatani in a two-field model (see [
35] for more details).
4. Parametric Resonant Growth Involving Lfzf And Tpms
Possible scenarii of three-wave processes concerning both CTEM and ZF have been discussed in the review of Qiu, Chen and Zonca in [
45]. It is the combined action of polarisation injection and resonant amplification of the LFZF will determine the formation of TB. Indeed we see from (
30) that it becomes possible in that case to excite a low-frequency ZF at the frequency
for a population of deeply trapped particles.
We now discuss how a three-wave coupling mechanism has been observed in simulation involving the decay of an interchange mode (a fluid version of TIM) of frequency and toroidal number (referred here as the pump wave) into a resonant CTIM mode and a low-frequency oscillatory zonal flow . Here since the zonal flow is characterised by the index 0 with a zero value of the toroidal number and has no dependence in , we impose the condition .
Matching conditions are then given by
It must be pointed out that in the standard picture of the turbulence, a lot of triads are possible, however it is here the resonant character of the CTIMs which imposes such a resonant wave-wave interaction. We analyse here the possibility of such a coupling starting from the set of Vlasov equations parametrized by the adiabatic invariants
and
E. We have dropped the index
i, but the analysis can be extended to CTEMs. Denoting the distribution
by
f and assuming that the dissipation is zero (
) and
, the Vlasov equation for the trapped ion population reads as
where the parameters
and
E have been dropped in notations for simplifying notations and we have used the standard notation
where
is the standard dimensionless frequency given by the Elliptic functions. We introduce different time and spatial scales in the form
where
and
(for
) represent respectively the complex envelopes of the fluctuations of the particle distribution function and of the electric potential, which depend of the slow-varying variables both in space and time. By substituting Equations (
33) and (
34) into the Vlasov Equation (
32) and by separating the different scales and following the standard method of research of secular terms, leads after a little algebra to a set of non linear coupled equations. Thus for the ZF component we obtain the following expression:
Similar treatment for the pump (interchange) mode leads to
Finally for the scattered (and resonant CTPM) we obtain
At this step of the analysis, several remarks must be pointed out:
(i) First the set of Equations (
35)–(
37) allows us to recover the linear dispersion relation for the trapped-ion modes in the (expected) form, i.e.,
and
while there is no linear counterpart of a dispersion relation for the zonal flow.
(ii) Secondly perturbations of the distribution function
can be splitted into parts, a linear contribution
plus a non linear (second-order) contribution
(similar analysis can be made on the electric potential). Thus by considering a solution of the simplified Vlasov Equation (
32) in a Fourier representation (where now
,
,
and
are real quantities), i.e.,
we obtain
or equivalently
Thus by separating the contribution to the first order to those at the second order, it is possible to recover a slow-varying envelope model corresponding to the parametric decay of interchange mode in a resonant process in which the interchange mode gives rise to a collisionless trapped particle mode and low frequency zonal flow.
Coming back to the complex envelope model, the equation describing the evolution of the complex zonal flow envelope in the resonant parametric instability is then given by the following equation (we have dropped the label
to simplify the presentation).
To obtain the contribution of the zonal flow in terms of slow-varying envelope, we have also introduced an integration over the variable
. The energy source is here provided by the ion gradient temperature via the (fluid) interchange mode which acts as a pump wave since it is excited directly in an independent way by the polarisation source that drives a shear flow into the system. Its envelope equation is given by
The resonant contribution in term on slow varying (complex) envelope reads as
Thus in Equations (
41)–(
43) the labels I, R and 0 refer respectively to the (fluid counterpart of TIM) interchange mode, the resonant CTIM mode and the oscillating ZF.
Notice that in Equation (
41) we recover, when the interaction is non resonant, the following condition
which indicates that, when there is no resonance, then the resonant mode is not amplified and
and
and thus
according to (
39), since in that situation there is no polarisation injection and the system is adiabatic. However when the resonance takes place a modification in the phase may occur and the frequency
cannot be maintained to zero (as in the usual ZF model driven by the Reynolds stress).
It becomes possible to excite the zonal flow in a resonant way by using a two-step process. First by injecting a polarisation source, drift wave turbulence can be generated (although the terminology of interchange turbulence seems to be more appropriate) leading to the emergence of an internal shear flow. In presence of a temperature gradient an interchange ITG type mode is growing which constitutes the source of free energy and which acts as a pump wave. Finally a three-wave parametric process between the toroidal version of the drift-wave (interchange mode) takes place and the pump mode decays into a scattered mode (the resonant CTIM mode) and the low-frequency zonal flow.
The model just derived contains some interesting features, and it is appropriate, at tis point, to make the following comments:
(i) Non linear coupling between CTEM and CTIM is also possible which reinforces the growth of the ZF according to the matching conditions in toroidal numbers and frequencies (in normalized quantities we have for a choice of a temperature ratio of .
(ii) In principle low-frequency GAM can be relevant to the description of the toroidal mode
as indicated in [
14]. The low frequency and continuum GAM mode was predicted by Winsor et al. [
18] to arise in a tokamak. It is an electrostatic mode with a dispersion relation given by
where
is the adiabatic constant,
the plasma pressure and
the major radius. Its normalized value reads
for a satefy factor of
a ratio of the ion cyclotron frequency to the ion bounce frequency of
and for
and
. Notice that it has been noted in [
11] that the geodesic version of ZF also arises in a Braginskii’s fluid model when including the toroidal geometry. This approach reveals that the ZF is indeed a travelling wave and was found to grow with pure phase modulation driven by the Reynolds stress.
(iii) Finally we have observed in simulations that the ZF mode grows till -quadratic nonlinearities effectively couple it to the CTIM mode when
(a condition recovered when the electron temperature is chosen exactly to half the ion temperature). The reason is similar to that given in earlier work when interaction with TIM become resonant: in the first phase of the interaction when the polarisation- driven shear flow is strong, it is the Reynolds stress which is dominant in Equation (
11) while the two last terms (anti-commutator and heat flux) become now the dominant terms when the transition takes place.
5. Numerical Simulations of the Resonant Three-Wave Process
In this section we report further numerical simulations which have been performed in order to elucidate some of the key features of the resonant mechanism. The gyrokinetic model is based on the numerical integration of the Vlasov Equations (
4) for both species coupled in a self-consistent way with the quasi-neutrality Equation (
7). Using a semi-Lagrangian technique, the integration of the Vlasov equations is made along their characteristics for initial conditions given by (
17) which allows us to follow perturbations of
.
In numerical simulations, normalized quantities were used: the time is normalized to the inverse drift frequency
, the poloidal flux
is given in
units (with
). The electric potential is expressed in
units and the constants
and
introduced in the quasi-neutrality Equation (
7) are given by Equation (
9). Here in simulations these parameters are normalized to
.
The bounce and drift frequencies
and
depend explicitly of the pitch angle parameter
(and of course of the energy
) and are given by Equations (
1) and (
2). The energy
for the species
s is normalized to the thermal temperature
. Our kinetic trapped particle model is given by
reduced Vlasov equations coupled together through the quasi-neutrality condition. Several simulations, using an increasing number of parameters in energy till 1024 values have been performed but differences in numerical results remain weak for this set of physical parameters. Each particle bunch, defined by the set of
parameters with a trapping parameter (connected to the pitch angle)
is self-consistently coupled to the electric potential
where
is the gyro-average operator defined by (
6).
5.1. Temporal Intermittent Behaviour in the Strong Regime Of Interaction
Figure 5,
Figure 6,
Figure 7 and
Figure 8 show the results obtained from a first simulation using an electron (or ion) temperature gradient of
chosen well above the threshold of the ITG instability given by
for
and a banana width of
. The magnetic shear is
. The phase space sampling is
by
and the time step is
and we have chosen
for the polarization term. Strong polarisation injection is realized here with a parameter
. Without dissipation (i.e., by considering zero diffusion coefficient
), three energetic actors interact to produce the complexity observed in the interaction: the ion (or electron) kinetic energy noted
(or
), the energy of the zonal flow
and finally the turbulent energy
. These quantities have been defined in previous work in [
12] as follows:
where
and
.
Figure 5 shows the time evolution of the zonal flow energy (on top panel) together with the associated turbulent energy (shown in middle panel). It must be pointed out that the burst observed in the turbulent activity for
, precedes that of the zonal flow energy. Such a behaviour points out the ZF is driven by the drift-wave turbulence (through the Reynold tensor, as expected in this type of scenario). The whole picture of the generation of the ZF is completed by analysing the beginning of evolution on the bottom panel, where both contributions have been superimposed on the same plot. As sketched in the bottom panel, the nature of the interaction has changed and now intermittent behaviour is observed with the emergence of strong narrow peaks produced at the same time for all the actors (similar behaviour was also observed in kinetic energies) with any temporal shift. While the non linear drive of ZF is governed by the Reynolds tensor in the beginning of the simulation, it is now dominated by (interchange) turbulence transfer described by Equations (
11)–(
14) which give rise to a resonant interaction.
An important question that then arises from numerical results is how the nature of ZF was modified. While in the usual picture of drift-wave—ZF interaction, the generation of ZF and its feedback to drift-wave turbulence are essentially non linear processes: ZF is generated by the Reynolds stress and back reacts on turbulence via vortex stretching, the mechanism here is somewhat different. In the standard approach the frequency of ZF is zero and is quite non resonant. Thus the transition of drift-wave turbulence to (interchange) trapped-ion modes (CTIM) leads to a modification of the nature of ZF, which presents now an oscillating behaviour, which can be subject to resonant amplification.
In Equations (
41)–(
43) we have assumed perfect matching in toroidal numbers (since the simulation box is periodic) but also in frequencies. Indeed any mismatch in frequency imposed by non linear effects results in some growth reduction (called the de-tuning). The resonance of CTIM (or CTEM) is expected to be produced for a given value of the particle energy at
and for a given population with a trapping parameter
.
We now describe some aspects of the phenomenology of the transition in order to illustrate the rich non linear dynamics that underlies the transition scenario and the resonant amplification of ZF. In the ITG instability, the free energy for CTIMs is provided by the ion temperature gradient. At the instability threshold, where the temperature gradient scale length just exceeds the critical value
, the gradient free energy is accessed through a resonance of the mode with banana orbits under the drifts produced by the gradient and the curvature of the magnetic field. A simple illustration of this process can be observed in
Figure 6 where we have plotted the electric potential
at the start-up of the instability. Because we have introduced a small perturbation initially in the distribution function in the form
we observe clearly the start-up of the ITG instability (with an amplitude of perturbation of
for ions and
for electrons) and the formation of ten linear “streamers” together with the vortex stretching at time
, followed by the emergence of small-scale streamers at
on the bottom plot in
Figure 6.
In
Figure 7, on top and middle panels the electric potential exhibits now a soliton-type structure characterized by the emergence of a strong narrow peak located in the mean potential
at
. Notice that at the time
the ZF energy, on middle panel in
Figure 5, increases slowly while the turbulent energy reaches its second narrow peak in time. Here the ZF is typically generated by the Reynolds tensor. However toroidal effects and phase modulation become important. A forward propagating soliton- type structure has emerged and such a structure resembles the “instanton” solution i.e., a temporal localization in propagation of the wave energy as proposed in [
11]. The propagating nature of the solution is shown on the bottom panel in
Figure 7.
It seems that the structure emerges due to the driver originating in the initial polarisation source (leading to the excitation and growth of a shear flow as a result of the Reynolds stress). However at this step of the simulation the resonant amplification is not observed in the dynamics of ZF. As the resonant CTEM and CTIM are excited at high level (now sufficient to generate strong resonant peaks both in the behaviours of ZF and interchange turbulence as can be seen in
Figure 5), these modes participate to the turbulent transport: they couple together in a resonant parametric beating leading to the growth of the ZF, which suppresses the turbulence. Thus a transient barrier can be formed.
Figure 8 shows the behaviour of the corresponding electric potential, taken at two different instants, at time
(on top panel) when the peak is reached in amplitude, and finally at time
(on bottom panel) when the turbulence level is weak. We see clearly that the width in
of the streamers is strongly reduced (which indeed corresponding to the excitation of a large number of modes in the toroidal numbers).
5.2. A Two-Step Process: Induced Effects by of the Polarisation Source
It is illuminating to consider the dynamical behaviour of the system as the polarisation injection rate varies. The instability disappears completely without polarisation source (when
) as can be seen in
Figure 9 which displays the time evolution of the different energies: the ion kinetic energy
on top panel, the zonal flow energy
on middle panel and finally the fluctuating turbulent energy
on bottom panel. Excepted the value of the polarisation injection rate, the simulation was performed using identical parameters in comparison to the previous simulation shown in
Figure 5,
Figure 6,
Figure 7 and
Figure 8.
These results indicate the importance of the polarisation source and reveal that large fraction of ion and electron populations can be resonant with trapped particles modes and the second fundamental parameter is played by the temperature ratio . Even in presence of a small injection rate (for instance for ) simulations have shown that choosing an electron temperature different of half the ion temperature gives rise to the stabilization of the ITG instability and the resonant mechanism is not strong enough.
The importance of the role played by the ratio
in the emergence of zonal flows has been already shown in a different kind of study in Ref. [
29].
5.3. Details of the Resonant Process Afforded by the Semi-Lagrangian Vlasov Code
A key question which emerges, is what the dominant resonant interactions are expected to be in system able to trigger the formation and the maintain of a transport barrier. One of the major issues in the nonlinear generation of the TB is the modification of the nature of ZF produced by the resonant CTIM. The mechanism of the transport barrier through the resonant parametric decay of the interchange mode is now studied in detail through a new simulation. To study these issues in detail a last numerical simulation is performed with a polarisation source of keeping the exact resonance condition .
The main difficulty in resolving the emergence of TB from the standard parametric process with the ZF frequency less than the drift precession frequency is that the time scale of the intermittent behaviour is very fast. The situation is more favourable in an initially system where the polarisation source is weaker. The present simulation differs from previous cases in that the dynamical behaviour of system is quasi-adiabatic and consequently only a major peak is obtained in the temporal dynamics of the kinetic energies. Owing to slow behaviour in space and time, we can now follow the dynamics in detail without using a prohibitive number of grid points and a very fine time step. The simulation has been carried out with a phase space sampling of by and we keep the same time step. The physical parameters are identical.
Results of this simulation are shown in
Figure 10 which display the time evolution of the energies of the different actors implicated in the interaction: the ion kinetic energy for CTIM on top panel in
Figure 10, together with the turbulence (in blue) and ZF (in red color) plotted on the same curve on bottom panel.
An intermittent dynamics is revealed, which is not restricted to the beginning of the ITG instability where both the excitation of shear flow by polarisation effects and parametric decay start up simultaneously. A first burst of turbulence is linked to the growth of CTIMs and the ZF is impacted by the emergence of streamers, the nonlinear coherent structures resulting from CTIMs and the ITG instability. Two second peaks emerge very rapidly followed by a slow increase of the ZF and the suppression of the turbulence: the system is then dominated by the ZF and the emergence of a TB. This intermittent regime is analyzed in more details through the diagnostics of
Figure 11 and
Figure 12 showing the behaviour of the electric potential and of the ion pressure respectively, and for three different instants during the simulation. The system allows a dominant role of streamers in the intermittent regime due to the relative weakness of ZFs. The forward energy transfer is carried out to three-wave interactions that couple the initial perturbed mode
to its harmonics
and
. At time
, on middle panels in
Figure 11 and
Figure 12, strong nonlinearities yield to the growth of the mode
.
To elucidate the spatial structure of the TB formation, we have plotted in
Figure 13 the mean profile of the ion pressure calculated at two different positions in
as a function of the poloidal flux. We see clearly there is a strong increase in the gradient of pressure near the right edge of the simulation box
, revealing a region (located at
) where the pressure is almost constant. The observed behaviour in the ion pressure can be interpreted as a clear signature of the formation of a TB in this region where the ZF is dominant. As shown in
Figure 11, electric potential fluctuations lead to the formation of a strong ZF in the region of formation of the TB. The importance of ZF lies in its ability to limit the size of interchange turbulence eddies in the poloidal flux direction and hence, effectively, to regulate turbulent transport.
In that regime, ZF has a limited impact on the saturation, implying that the dominant saturation mechanism must be of a different nature. A possible explanation is that the three-wave interaction between CTIM and the interchange turbulence ceases (like by a detuning process). Here the situation is however more complex since the wave-particle resonances lead to a Landau-type dissipation and the density and the electric potential can remain in phase in this process. The generation of ZF and its feedback to turbulence are nonlinear processes in which wave-particle interactions play a key role. In particular we have also observed the formation and propagation of trapping structures (with now particles trapped in the electric potential) as a result of the Landau damping in the nonlinear regime.
Figure 14 shows a representation of the ion distribution function (obtained for a population of deeply trapped (banana) orbits for
, in the bulk of the distribution).