Introduction

Alfvén waves are ubiquitous in both laboratory and astrophysical plasmas1,2,3,4. Alfvén instabilitys are global electromagnetic modes driven by energetic particles, and the spatial profile of Alfvén instability located at the extremum of the shear Alfvén wave continuous spectrum. In the past thirty years, Alfvén instability related theory has been well developed, and Alfvén instabilitys have been observed in many different fusion research experiments1,2,3,4,5. Strong energetic particle transport has been observed during Alfvén instability activities, which significantly reduced the effectiveness of plasma heating. The geodesic acoustic mode (GAM) can be seen as the finite frequency electrostatic branch of the zero-frequency zonal \(\textbf{E} \times \textbf{B}\) flow (\(m = 0\) and \(n = 0\)) that is generated via side band (\(m = \pm 1\) and \(n = 0\)) coupling of the poloidal flow to a pressure perturbation, and a parallel ion sound mode.6,7,8,9,10,11. The \({\textbf {E}}\) is electric field and \({\textbf {B}}\) is magnetic field. The m and n are the toroidal and poloidal mode numbers. Compared with the GAM, the energetic-particle-driven geodesic acoustic mode (EGAM) takes into account the positive (or negative) contribution of energetic particles to frequency, and it has also been theoretically investigated for many years and has been observed in many devices including tokamaks and stellarators11,12,13,14,15,16,17,18,19,20,21,22,23. The EGAM also enhances energetic particle transport and can act as an energy channel to anomalously heat bulk plasma24,25. It has been found that the EGAM can be excited not only linearly but also nonlinearly. In the Large Helical Device, a low-frequency EGAM can be nonlinearly excited by a high-frequency one21,22. Also, it has been found that the GAM can be excited by magnetohydrodynamic (MHD) nonlinearity in a time evolution of the Alfvén eigenmode26.

Recently, the coexistence of the Alfvén instability and EGAM was found in the ASDEX-Upgrade (AUG) tokamak27. In the AUG scenarios of Non-Linear Energetic-particle Dynamics (NLED-AUG) and some similar AUG scenarios, the EGAM appears immediately after the Alfvén instability, and thus the experimentalists believe that the EGAM is triggered by the Alfvén instability. In fact, many simulations have been conducted to investigate the NLED-AUG case28,29,30,31,32,33. For example, Poloskei et al. confirms the nonlinear interaction between the Alfvén eigenmode and the EGAMs by using the bicoherence analysis28. Vannini et al. demonstrated how energetic particle concentrations affect the Alfvén eigenmode and EGAM under a condition of bump-on-tail distribution, and discussed how the Alfvén eigenmode was excited by the EGAM29,30. In addition, based on a slowing-down distribution, they reproduced frequency chirping phenomena very well and the results were very similar to those observed in the experiments32. Vlad et al. conducted multi-code simulations to investigate the properties of Alfvén eigenmodes but no code has detected unstable EGAMs in the linear phase, which implies that EGAMs are excited in the nonlinear phase31. Rettino et al. conducted ORB5 simulations and found that the EGAM growth rate depends not only on the energetic particle pressure but also sensitively on the energetic particle pitch angle and distribution width33. However, the physical mechanism of excitation of the EGAM and the role of energetic particles in nonlinear phase in the shot #34924, an NLED-like case, has not been sufficiently clarified. In the present work, nonlinear simulation is conducted to fill in the above gaps, and the simulation itself includes both the fluid nonlinearity and energetic particle nonlinearity. But only the coupling between Alfvén instability and EGAM via energetic particles is analyzed here, the wave-wave coupling will be analyzed in other works.

In the present work, the EGAM excitation in nonlinear phase by Alfvén instability in AUG is successfully reproduced in the first-principles simulation by using the MEGA code. The fundamental mode properties such as mode frequencies, mode numbers and mode locations are consistent with the experimental results. Also, the radially inward redistribution of energetic particles is qualitatively the same as that in the experiment. The energetic particle distribution is classified into five types of energetic particles distinguished by their magnetic moment \(\mu\) values and analyzed in (\(P_\phi ,E\)) phase space, where \(P_\phi\) is the toroidal canonical momentum and E is energy34. In the total distribution \(f_{total}\) analysis, the possibility of EGAM excitation is confirmed by checking whether the distribution function is increasing or decreasing with respect to energy on the EGAM resonance region. In the \(\delta f\) distribution analysis, the destabilization and stabilization effects of resonant particles on Alfvén instability and EGAM are carefully investigated. In the linear growth phase, the Alfvén instability resonates with particles. Then, in the nonlinear saturated phase, these resonant particles move in phase space and reach the EGAM resonance region, and cause the overlap of Alfvén instability resonance region and EGAM region. As a result, the EGAM is excited. This excitation mechanism of energetic-particle-driven instabilities through resonance overlap explained the experimental results well.

Results

Fig. 1
Fig. 1
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The reproduction of experimental phenomena by simulation. The frequency spectrum of the Alfvén instability and EGAM are shown, where the Alfvén instability is the higher frequency mode and the EGAM is the lower frequency mode. Panel (a) shows the frequency spectrum in the simulation, the color bar represents the velocity perturbation normalized by Alfvén velocity and is plotted on a logarithmic scale. Panel (b) shows the experimental observation in shot #34924 of AUG. The color bar represents the soft X-ray emission power and is plotted on a logarithmic scale. Yellow dashed line and pink dotted line represent the excitation time of Alfvén instability and EGAM.

Both the Alfvén instability and the EGAM are reproduced using the MEGA code, as shown in Fig. 1. Figure 1a shows the poloidal velocity \(v_\theta\) frequency spectrum simulated using the MEGA code, and Fig. 1b shows the magnetic perturbation frequency spectrum observed in AUG. In Fig. 1a, the Alfvén instability appears at around \(t = 0.2~{\textrm{ms}}\) with a frequency of \(100~{\textrm{kHz}}\), then it becomes saturated at \(t = 0.4~{\textrm{ms}}\) and the frequency starts to chirp up and down. The EGAM appears at around \(t = 0.4~{\textrm{ms}}\) with a frequency of \(50~{\textrm{kHz}}\), then it becomes saturated at \(t \approx 0.65~{\textrm{ms}}\) and the frequency starts to chirp up and down, but the chirping rate lower than the Alfvén instability. The later appearance of the EGAM compared to the Alfvén instability suggests that the EGAM is excited by the Alfvén instability. The mode frequencies of the simulated Alfvén instability and EGAM are similar to the experimental observations shown in Fig. 1b. Moreover, the simulated EGAM saturation level is obviously higher than that of the Alfvén instability, which is also consistent with the observation in Fig. 1b, and this suggests that the excited EGAM is a subcritical instability. In addition, the dominant mode number of the simulated Alfvén instability is \(m/n = 3/-1\). Since the Alfvén instability is very close to the Alfvén continuum and almost intersects it, the instability is identified as an energetic-particle-mode (EPM)35. The dominant mode numbers of the simulated EGAM are \(m/n = 0/0\) for \(v_\theta\) and 2/0 for magnetic perturbation. The mode numbers are consistent with the theory and experiment13,18,27,29,33. Finally, a radially inward energetic particle redistribution during mode activities is found in the simulation, which is also consistent with the experiment27. The present simulation provides a very good validation.

Both the Alfvén instability and the EGAM can be driven by energetic particles through resonant interactions, if the angular frequency of mode \(\omega _{mode}\), the angular frequency of toroidal motion \(\omega _\phi\), and the angular frequency of poloidal motion \(\omega _\theta\) satisfy the resonance condition \(\omega _{mode} = n \omega _\phi + L \omega _\theta\) where L is an arbitrary integer. Considering that \(n = -1\) for the Alfvén instability and \(n = 0\) for the EGAM, the L values are calculated as follows:

$$\begin{aligned} L_{Alv}= & (\omega _{Alv} + \omega _\phi ) / \omega _\theta \end{aligned}$$
(1)
$$\begin{aligned} L_{EGAM}= & \omega _{EGAM} / \omega _\theta \end{aligned}$$
(2)

The subscript “Alv” represents Alfvén instability. The constant L curves can be plotted in (\(P_\phi ,E\)) phase space for specified \(\mu\) values, where \(P_\phi\) is toroidal canonical momentum. Subsequently, the resonance condition of the resonant particles can be easily analyzed in (\(P_\phi ,E\)) space36,37.

Fig. 2
Fig. 2
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The resonance overlap illustrated by the energetic particle distribution \(f_{total}\) in phase space. The \(f_{total}\) in (\(P_\phi ,E\)) phase space for different \(\mu\) values at different times are shown. \(P_\phi\) is normalized to the product of particle charge \(e_{EP}\) and the maximum \(\psi\) at the plasma center. From the top to the bottom, the three rows are plotted at \(t = 0.304~{\textrm{ms}}\), \(0.375~{\textrm{ms}}\), and \(0.609~{\textrm{ms}}\), respectively. From the left to the right, the five columns represent different \(\mu\) values of 1.62, 3.56, 5.51, 7.45 and 9.39 with unit keV/T, respectively. The black color represents the minimum \(f_{total}\) value 0. The bright yellow color represents the maximum \(f_{total}\) values, and in the five columns from the left to the right, they are 30, 12, 5, 4, and 2.5, respectively. The solid and dashed white curves represent respectively \(L_{Alv} = 1\) and 0, and the green curve represents \(L_{EGAM} = 1\). The two cyan dotted lines represent two constant \(E'\) values. The constant \(P_\phi\) lines are not plotted because they are parallel to the vertical axis.

In the present work, slowing-down energetic particle distribution (or negative \(\partial f /\partial E\)) is applied, and the mode should be stable. However, \(\partial f /\partial E\) should be considered with the conserved variables kept constant. One conserved variable is \(\mu\) which is an adiabatic invariant for the interaction with the Alfvén instability and EGAM whose frequencies are sufficiently lower than the energetic particle gyro-frequency. In addition to \(\mu\), \(E' = E - \frac{\omega _{AE}}{n} P_\phi\) is a conserved quantity for the Alfvén instability, because \(dE/dt=\partial H/\partial t, dP_\phi /dt = -\partial H/\partial \phi\), where H is wave field Hamiltonian including the perturbation4,38,39. Also, \(P_\phi\) is a conserved quantity for the EGAM because EGAM is an axisymmetric mode with toroidal mode number \(n=0\)13. Then, positive \(\partial f /\partial E\) regions along constant \(E'\) and \(P_\phi\) directions should exist. The energetic particle distribution \(f_{total}\) is plotted in (\(P_\phi ,E\)) phase space to verify the existence of positive \(\partial f /\partial E\) regions, as shown in Fig. 2. Three resonance curves where \(L_{Alv} = 1\), \(L_{Alv} = 0\), and \(L_{EGAM} = 1\) are also plotted. Around the EGAM resonance line, the ratio of particle transit frequency to conventional GAM frequency is about 1.25. From the left to the right columns, five cases with different \(\mu\) values are analyzed as follows. (1) In panels (a1)-(a3), it is clear that \(\partial f /\partial E\) is negative along the dotted line and vertical directions on the three resonance curves. Thus, both the Alfvén instability and EGAM may be stabilized. Also, \(f_{total}\) does not change too much, this suggests that the resonance of these particles with \(\mu = 1.62 keV/T\) may be not strong. (2) In panels (b1)-(b3), the EGAM may be stabilized with \(L_{EGAM} = 1\), but the Alfvén instability may be simultaneously stabilized with \(L_{Alv} = 1\) and destabilized with \(L_{Alv} = 0\). (3) In panels (c1)-(c3), the EGAM may be destabilized with \(L_{EGAM} = 1\), but the Alfvén instability may be simultaneously stabilized with \(L_{Alv} = 1\) and destabilized with \(L_{Alv} = 0\). (4) In panels (d1)-(d3), the EGAM may be destabilized with \(L_{EGAM} = 1\), and the Alfvén instability may be destabilized with \(L_{Alv} = 0\). For \(L_{Alv} = 1\), it is difficult to draw a conclusion because the sign of \(\partial f /\partial E\) may be different in low \(P_\phi\) and high \(P_\phi\) regions. (5) In panels (e1)-(e3), both the Alfvén instability and EGAM may be destabilized. In addition, \(f_{total}\) changes drastically in many panels, especially in the second and third rows, this indicates very strong particle-wave interactions. Also, \(f_{total}\) is redistributed along the direction of the dotted lines, which indicates that the particles are resonant with the Alfvén instability. A more detailed evolution of the above five cases can be found in supplementary movie 1-5.

Fig. 3
Fig. 3
Full size image

The resonance overlap illustrated by the energetic particle distribution \(f_{total}\) with detailed time evolution. The time evolution of \(f_{total}\) along (a) the left (or higher) \(E'\) line of Fig. 2 and (b) the vertical line of Fig. 2 with a \(P_\phi /e_{EP}\psi _{max}\) value of 0.778, are shown in details. The particle \(\mu\) value is \(7.45~{\mathrm{keV/T}}\). These three horizontal lines from top to bottom represent three resonant layers of \(L_{Alv}=1\), \(L_{EGAM}=1\), and \(L_{Alv}=0\), respectively. To better understand the physical pictures described above, the bird’s-eye view 3-dimensional sub-figures are also presented. The sub-figures (c) and (d) correspond to the sub-figures (a) and (b), respectively, and their vertical axes represent \(f_{total}\). The sub-figures (eg) show the \(f_{total}\) along \(P_\phi = const.\) at different times, the \(P_\phi /e_{EP}\psi _{max}\) values are 0.994, 0.778, and 0.804, the maximum values of the vertical axis are 6.5, 3.5 and 3.5, and the particle \(\mu\) values are 5.51, 7.45 and \(9.39~{\mathrm{keV/T}}\), respectively. The vertical dotted lines represent the resonant layers of \(L_{EGAM}=1\).

Fig. 4
Fig. 4
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The resonance overlap illustrated by the energetic particle distribution \(\delta f\) in phase space. The \(\delta f\) in (\(P_\phi ,E\)) phase space for different \(\mu\) values at different times are shown. \(P_\phi\) is normalized to the product of particle charge \(e_{EP}\) and the maximum \(\psi\) at the plasma center. From the top to the bottom, the three rows are plotted at \(t = 0.375~{\textrm{ms}}\), \(0.516~{\textrm{ms}}\) and \(0.656~{\textrm{ms}}\), respectively. From the left to the right, the five columns represent different \(\mu\) values of 1.62, 3.56, 5.51, 7.45 and 9.39 with unit keV/T, respectively. The red color represents positive \(\delta f\) and the blue represents negative \(\delta f\). The solid and dashed black curves represent respectively \(L_{Alv} = 1\) and 0, and the red curve represents \(L_{EGAM} = 1\). The two black dotted lines represent two constant \(E'\) values. The constant \(P_\phi\) lines are not plotted because they are parallel to the vertical axis.

The time evolution of the energetic particle distribution \(f_{total}\) along the constant \(E'\) line and the constant \(P_\phi\) line are shown in Fig. 3 to better illustrate the redistribution, where the particle \(\mu\) value is \(7.45~{\mathrm{keV/T}}\). Fig. 3a and c show \(f_{total}\) along the right (or lower) \(E'\) line of Fig. 2. The significant differences of the \(f_{total}\) at \({\mathrm{t = 0.3 ms}}\) and \({\mathrm{t = 0.8 ms}}\) indicate a strong redistribution, and the increase of \(f_{total}\) on the \(L_{EGAM}=1\) resonance layer (cyan line in Fig. 3a) implies the interactions between energetic particles and EGAM. Fig. 3b and d show \(f_{total}\) along the vertical line of Fig. 2, with a \(P_\phi /e_{EP}\psi _{max}\) value of 0.778. Similar to Fig. 3a and c, the significant differences of the \(f_{total}\) at different times indicate a strong redistribution, and the drastic changes of \(f_{total}\) in the \(L_{EGAM}=1\) resonance layer (cyan line in Fig. 3b) imply the excitation of EGAM. In order to better demonstrate the change of \(\partial f/\partial E\), the \(f_{total}\) along \(P_\phi = const.\) at different times are plotted in Fig. 3e–g. The changes of \(\partial f/\partial E\) implies the destabilization of EGAM.

The possibility of EGAM excitation can be confirmed from Figs. 2 and 3, but the detailed mechanism of EGAM excitation is not demonstrated. In order to gain further insights, \(\delta f = f_{total} - f_{total~at~t=0}\) distribution40 is plotted in (\(P_\phi ,E\)) phase space in Fig. 4, where \(\frac{d}{dt}\delta f = -\frac{dE}{dt}\frac{\partial f_{total~at~t=0}}{\partial E} - \frac{dP_\phi }{dt}\frac{\partial f_{total~at~t=0}}{\partial P_\phi }\)19 and non-zero \(\delta f\) represents particle redistribution. A mode is destabilized if a negative \(\delta f\) region appears above the resonance curve and a positive one appears below the resonance curve. On the contrary, a mode is stabilized if a negative \(\delta f\) region appears below the resonance curve and a positive one appears above. Then, a pair of positive and negative \(\delta f\) regions form a resonance region. From the left to the right columns in Fig. 4, five cases with different \(\mu\) values are analyzed as follows. (1) In panels (a1)-(a3), the Alfvén instability is stabilized with \(L_{Alv} = 0\). (2) In panels (b1)-(b3), the Alfvén instability is destabilized with \(L_{Alv} = 0\), then, the EGAM is stabilized with \(L_{EGAM} = 1\). (3) In panels (c1)-(c3), the Alfvén instability is stabilized with \(L_{Alv} = 1\). Then, during the Alfvén instability frequency chirping, the resonance regions move from the black Alfvén instability resonance curve (c1) to the position slightly below the black curve (c2) along the dotted line, and finally, move to the red EGAM resonance curve (c3), and as a result, the EGAM is destabilized with \(L_{EGAM} = 1\). The EGAM excitation by the resonance overlap with Alfvén instability is demonstrated in this process. (4) In panels (d1)-(d3), the Alfvén instability is destabilized with \(L_{Alv} = 1\). Then, during the Alfvén instability frequency chirping, the resonance regions move from the black Alfvén instability resonance curve (d1) to the position slightly below the black curve (d2), and finally, move to the red EGAM resonance curve (d3) and the EGAM is destabilized with \(L_{EGAM} = 1\). Similar to the case of the third column, the EGAM excitation by the resonance overlap with Alfvén instability is demonstrated in this process. (5) In panels (e1)-(e3), the Alfvén instability is destabilized with \(L_{Alv} = 1\). In the resonance overlap process described above, the area of the resonance region continues to expand. This expansion occurs not only in the direction from the \(L_{Alv}\) layer towards the \(L_{EGAM}\) layer, but also in the opposite direction, moving away from the \(L_{Alv}\) layer towards the \(L_{EGAM}\) layer. When the resonance region is located between the \(L_{Alv}\) and \(L_{EGAM}\) resonance layers, the energy of the particles is only used to overcome the damping and maintain the amplitude of the Alfvén instability. In addition, the differences of \(\delta f\) at \(t = 0.539~{\textrm{ms}}\) and \(0.727~{\textrm{ms}}\) for particles with \(\mu\) values of 1.62 and 9.39 keV/T are examined. It is found that EGAM is slightly stabilized with \(L_{EGAM} = 1\) and slightly destabilized with \(L_{EGAM} = 2\) by particles with \(\mu = 1.62 {\mathrm{keV/T}}\), although \(L_{EGAM} = 2\) is not shown in Fig. 4. Also, EGAM is slightly destabilized with \(L_{EGAM} = 1\) by particles with \(\mu = 9.39 {\mathrm{keV/T}}\). A more detailed evolution of the above five cases can be found in supplementary movie 6-10.

Based on the above results, the destabilization and stabilization effects of resonant particles on the Alfvén instability and EGAM are clearly demonstrated. The findings are summarized in Table 1.

Table 1 The effects of particles on Alfvén instability and EGAM.

Discussion

The results above demonstrate that the MEGA simulation successfully reproduced the excitation of EGAM in nonlinear phase by Alfvén instability in AUG. The simulation matches the experimental results well. By analyzing the evolution of energetic particles in the (\(P_\phi\), E) phase space, the resonance overlap is identified as the excitation mechanism of EGAM. In the \(f_{total}\) figure, EGAM can be excited since \(\partial f/\partial E > 0\) in the EGAM resonance region. In the \(\delta f\) figure, the pair of positive and negative \(\delta f\) values in the Alfvén instability and EGAM resonance region indicates the destabilization and stabilization of the modes. Particles are divided into 5 categories based on their respective \(\mu\) values, and those particles with \(\mu\) values around 7.5 keV/T are particularly significant as they play an important role in the excitation of the EGAM in nonlinear phase. Initially, these particles located in the Alfvén instability resonance region excite Alfvén instability in the linear growth phase, and then, during the nonlinear saturated phase, these resonant particles move in phase space and reach the EGAM resonance region. As a result, the EGAM is excited by resonance overlap.

The resonance overlap process can be summarized as follows5. Initially, particles resonate with the first instability, and as the mode amplitude grows, the size of the resonance region expands in phase space. Eventually, the first instability resonance region becomes very large, and reaches the second instability resonance region. The first instability resonance region overlaps with the second instability resonance region, and the second instability is excited. After the fractional resonance22 was clarified, the resonance overlap5 is another physical mechanism to nonlinearly excite EGAM through energetic particle.

It is worth noting that the EGAM cannot be excited in burning plasma without auxiliary heating due to the isotropic \(\alpha\)-particle distribution, but in the present work, it is demonstrated that even in burning plasma without auxiliary heating the EGAM may still be excited by the Alfvén instability if the finite width or the shift of the Alfvén instability resonance region results in the resonance overlap with the EGAM. The width of the resonance region increases for larger amplitude of the Alfvén instability while the frequency chirping is associated with the shift of the resonance region in phase space. Due to the difference in the toroidal mode numbers of the Alfvén instability and EGAM, even if the frequencies of the Alfvén instability and EGAM differ greatly, the resonance curves of these two modes may still be close to each other in the phase space. Then, even for a small change in Alfvén instability frequency in the nonlinear stage, the energetic particle phase space redistribution may induce a strong EGAM excitation. Since EGAM can anomalously heat bulk plasma by creating an energy channel11,24,25, for burning plasma, EGAM may not only play a negative role (enhanced transport) but also play a positive role (anomalous heating).

The nonlinear interactions between Alfvén instabilitys and between Alfvén instabilitys and EGAM are ubiquitous in fusion plasmas3,26,41,42 and important for plasma confinement due to the enhanced energetic particle transport and EGAM channeling. In this work, the mechanism of EGAM being excited by Alfvén instability on AUG is clarified, and more importantly, the method adopted in this work to analyze particle resonance conditions in phase space can be used for a wide range of mode-particle-mode interactions. The excitation mechanism through resonance overlap, as described in this work, could potentially explain other phenomena involving mode-particle-mode interactions, even those outside of fusion plasmas. For example, in the space plasmas, it has been observed that the cross-energy couplings from magnetosonic waves to electromagnetic ion cyclotron waves through cold ion heating43. It is demonstrated that the magnetosonic waves excited by high-energy (\(>~1~{\textrm{keV}}\)) ions heat cold ions leading to the excitation of electromagnetic ion cyclotron waves. The process demonstrated in the present paper (particle \(\rightarrow\) Alfvén wave \(\rightarrow\) particle \(\rightarrow\) EGAM wave) is similar to that in Ref.43 (particle \(\rightarrow\) magnetosonic wave \(\rightarrow\) particle \(\rightarrow\) cyclotron wave), although the energy of EGAM does not derive entirely from Alfvén instability due to the inherent feature of subcritical instability. Consequently, the approach outlined in the present paper might also be applicable to space plasma.

Finally, as mentioned in the introduction section, the wave-wave nonlinearity also contributes to the mode excitation28,30 in the NLED case. In the present work of shot #34924, in addition to the energetic particle nonlinearity, the wave-wave nonlinearity should also be investigated given its high importance.

Methods

ASDEX-upgrade

The ASDEX-Upgrade is a magnetic confinement fusion facility based on the tokamak concept operated by the Max-Planck-Institute for plasma physics in Garching, Germany. The full name of ASDEX is “Axially Symmetric Divertor EXperiment”. The magnetic system of ASDEX-Upgrade consists of 16 toroidal field coils and 12 poloidal field coils. The toroidal magnetic field strength is up to 3.1 T, and the major radius is 1.65 m. The plasma volume is \({13~\hbox {m}^3}\).

MEGA code

MEGA26,44, a first-principles hybrid simulation code for energetic particles interacting with an MHD fluid, is used to simulate the coexistence of the Alfvén instability and EGAM. In the MEGA code, bulk plasma is described by nonlinear MHD equations. The drift kinetic description and the \(\delta f\) particle-in-cell method are applied to the energetic particles. The 4th-order Runge-Kutta algorithm and 4th-order finite differential algorithm are applied in the code. The energetic particles and the MHD are coupled via the current in the momentum equation. After the initial parameters are loaded, plasma properties and behavior in the MEGA code evolve based on MHD equations and kinetic equations, without relying on empirical data.

Equilibrium data

A realistic equilibrium constructed using the EFIT code45 is used for the simulation. EFIT, which stands for Equilibrium FITting, is a widely-used code for reconstructing the equilibrium state of a tokamak plasma. It was developed several decades ago and has since become a standard tool in the field of fusion research. This equilibrium data is based on AUG shot #34924 at time \(t = 1.90~{\textrm{s}}\). From \(t = 1.90~{\textrm{s}}\) to \(t = 2.01~{\textrm{s}}\), plasma parameters and profiles remain constant within the error bars.

Energetic particle distribution function

In the NLED-AUG case, according to NUBEAM data, the energetic particle distribution function is a roughly slowing-down type in phase space and a Gaussian type in pitch angle space. Then, in the present work, similar types of distribution are assumed. Here, the NUBEAM code46 is a simulation tool used for Neutral Beam Injection (NBI) in tokamaks. It computes the time-dependent deposition and slowing-down of the fast ions produced by NBI. The energetic particle velocity distribution is \(f(v) = \frac{1}{v^3+v_c^3}\), where v is the velocity and \(v_c\) is the critical velocity. The collisions with electrons dominate the slowing-down process if the particle velocity is above \(v_c\), while for \(v < v_c\), the slowing-down is mainly due to collisions with background ions. The energetic particle pitch angle distribution is \(g(\Lambda ) = \exp [-(\Lambda -\Lambda _{peak})^2/\Delta \Lambda ^2]\), where \(\Lambda\) is defined by \(\mu B_0 /E\), \(\mu\) is the magnetic moment, \(B_0\) is the magnetic strength on the axis, E is the energy, \(\Lambda _{peak} = 0.4\) represents the pitch angle for the distribution peak, and \(\Delta \Lambda = 0.1\) is a parameter to control the distribution width. In addition, the energetic particle radial profile peaks around \(r/a = 0.5\) in shot #34924, and accordingly, the radial distribution in the simulation is \(h(\psi ) = \exp [-(\psi _{nrm} - \psi _{peak})^2/\Delta \psi ^2]\), where \(\psi\) is the poloidal magnetic flux, \(\psi _{nrm}\) is \(\psi\) normalized by the maximum value, \(\psi _{peak} = 0.73\) is a parameter to control the radial peak location, and \(\Delta \psi = 0.274\) is another parameter to control the radial width.

Simulation parameters

The parameters for the simulation are also based on AUG shot #34924. These are \(B_0 = 2.49~{\textrm{T}}\), electron density \(n_e = 1.78 \times \mathrm {10^{19}}~\mathrm {m^{-3}}\) at the axis, and electron temperature \(T_e = 1.5~{\textrm{keV}}\) at the axis. The injected neutral beam energy is \(E_{NBI} = 93~{\textrm{keV}}\). Both the bulk plasma and energetic particles are deuterium. The safety factor q profile has weak shear in the core region, with the value 2.3 at the magnetic axis and 6.43 at the plasma edge. The major radius of the magnetic axis is \(R_0 = 1.686~{\textrm{m}}\). Cylindrical coordinates \((R, \phi , z)\) are employed. The numbers of grid points in \((R, \phi , z)\) directions are (128, 32, 256), respectively.