Issue 
A&A
Volume 611, March 2018



Article Number  A60  
Number of page(s)  7  
Section  The Sun  
DOI  https://doi.org/10.1051/00046361/201731424  
Published online  27 March 2018 
Double plasma resonance instability as a source of solar zebra emission
^{1}
Department of Theoretical Physics and Astrophysics, Masaryk University,
Kotlářská 2,
611 37
Brno, Czech Republic
email: jbenacek@physics.muni.cz
^{2}
Astronomical Institute of the Czech Academy of Sciences,
Fričova 258,
251 65
Ondřejov, Czech Republic
Received:
23
June
2017
Accepted:
1
November
2017
Context. The double plasma resonance (DPR) instability plays a basic role in the generation of solar radio zebras. In the plasma, consisting of the losscone type distribution of hot electrons and much denser and colder background plasma, this instability generates the upperhybrid waves, which are then transformed into the electromagnetic waves and observed as radio zebras.
Aims. In the present paper we numerically study the double plasma resonance instability from the point of view of the zebra interpretation.
Methods. We use a 3dimensional electromagnetic particleincell (3D PIC) relativistic model. We use this model in two versions: (a) a spatially extended “multimode” model and (b) a spatially limited “specificmode” model. While the multimode model is used for detailed computations and verifications of the results obtained by the “specificmode” model, the specificmode model is used for computations in a broad range of model parameters, which considerably save computational time. For an analysis of the computational results, we developed software tools in Python.
Results. First using the multimode model, we study details of the double plasma resonance instability. We show how the distribution function of hot electrons changes during this instability. Then we show that there is a very good agreement between results obtained by the multimode and specificmode models, which is caused by a dominance of the wave with the maximal growth rate. Therefore, for computations in a broad range of model parameters, we use the specificmode model. We compute the maximal growth rates of the double plasma resonance instability with a dependence on the ratio between the upperhybrid ω_{UH} and electroncyclotron ω_{ce} frequency. We vary temperatures of both the hot and background plasma components and study their effects on the resulting growth rates. The results are compared with the analytical ones. We find a very good agreement between numerical and analytical growth rates. We also compute saturation energies of the upperhybrid waves in a very broad range of parameters. We find that the saturation energies of the upperhybrid waves show maxima and minima at almost the same values of ω_{UH}∕ω_{ce} as the growth rates, but with a higher contrast between them than the growth rate maxima and minima. The contrast between saturation energy maxima and minima increases when the temperature of hot electrons increases. Furthermore, we find that the saturation energy of the upperhybrid waves is proportional to the density of hot electrons. The maximum saturated energy can be up to one percent of the kinetic energy of hot electrons. Finally we find that the saturation energy maxima in the interval of ω_{UH}∕ω_{ce} = 3–18 decrease according to the exponential function. All these findings can be used in the interpretation of solar radio zebras.
Key words: instabilities / methods: numerical / Sun: radio radiation
© ESO 2018
1 Introduction
The losscone type of distribution of hot electrons superimposed on the distribution of much denser and colder background plasma is unstable due to the double plasma resonance instability (Zheleznyakov & Zlotnik 1975; Melrose & Dulk 1982; Zaitsev & Stepanov 1983; Winglee & Dulk 1986; Ledenev et al. 2001; Zlotnik 2013; Karlický & Yasnov 2015). This instability generates the upperhybrid waves, which have their maxima close to the gyroharmonic number s = ω_{UH}∕ω_{ce}, where and ω_{UH}, ω_{pe}, and ω_{ce} are the upperhybrid, electronplasma, and electroncyclotron frequency, respectively. Owing to this property, the double plasma resonance (DPR) instability is used in models of solar radio zebras (Zheleznyakov & Zlotnik 1975; Winglee & Dulk 1986; Ledenev et al. 2001; Treumann et al. 2011; Zlotnik 2013; Karlický & Yasnov 2015; Yasnov & Karlický 2015; Benáček et al. 2017).
The resonance condition for the double plasma resonance instability in the relativistic case can be expressed as (1)
where k = (k_{∥}, k_{⊥}) is wave vector, u = (u_{⊥}, u_{∥}), u_{⊥} = p_{⊥}∕m_{e}, and u_{∥} = p_{∥}∕m_{e} are the hot electron velocities perpendicular and parallel to the magnetic field; m_{e} is the electron mass, is the relativistic Lorentz factor, s is the gyroharmonic number, and c is the speed of light. In theoretical models studying the double plasma resonance instability, the distribution of hot electrons is usually taken as the Dory–Guest–Harris (DGH; Dory et al. 1965) distribution for j = 1 in the form (2) where v_{t} we call the thermal velocity of hot electrons, although the distribution function in the relation (2) is not Maxwellian. The distribution of the background plasma is taken as a Maxwellian one. The combination of both these distributions is considered to be the prototype distribution generating radio zebras (Winglee & Dulk 1986).
In our previous paper (Benáček et al. 2017) we studied the double plasma resonance instability analytically. We showed that the maxima of growth rates of the upperhybrid waves are shifted to lower ratios of ω_{UH}∕ω_{ce} and the contrast between maxima and minima of the growth rate decreases as the temperature of hot electrons increases. On the other hand, when the temperature of the background plasma is increased, the contrast remains the same.
In studies of solar radio zebras (e.g. Ledenev et al. 2001), the frequencies of the zebra stripes and the contrast of these stripes to the background continuum are analyzed. The frequencies are used for the determination of the magnetic field in zebra radio sources. Therefore, it is important to know the relation between the zebra stripe frequencies and the gyroharmonic number s ≈ ω_{UH}∕ω_{ce}. Furthermore, the contrast of the zebra stripes is believed to be connected with the temperature of hot electrons (Yasnov & Karlický 2004). Moreover, some zebras have many stripes and their frequencies correspond to high gyroharmonic numbers (sometimes >20; Karlický & Yasnov 2015). All these facts require computations in a very broad range of the gyroharmonic number s, which are difficult to make with the spatially extended multimode model. Fortunately, we found that the maximal growth rates and saturation energies computed in the multimode model agree very well with that computed in the spatially limited specificmode model. This agreement is caused by the fact that the wave with the maximal growth rate becomes very soon dominant over other growing waves (due to its exponential growth). Using this specificmode model, which considerably saves computational time, we compute the maximal growth rates and saturation energies of the DPR instability in a broad range of parameters. Because in the analytical analysis of growth rates of the DPR instability several assumptions were made, these numerical computations serve to verify the analytical results.
The paper is structured as follows. In Sect. 2, we describe our numerical model and initial conditions for the studied double plasma resonance instability. In Sect. 3, we present the results for different model parameters. Discussion of these results and conclusions are in Sect. 4.
2 Model
We use a 3D particleincell (PIC) relativistic model (Buneman & Storey 1985; Matsumoto & Omura 1993; Karlický & Bárta 2008) with multicore message passing interface (MPI) parallelization. Further details can be found in Matsumoto & Omura (1993, p. 67–84) and on the link below^{1} . In the present article we use this model in two versions: (a) the spatially extended model with many wave modes (multimode model), and (b) spatially limited model with specific wave mode (specificmode model), which is used for relatively fast computing in the broadrange of model parameters. The model size in x, y, and zdirections is 128 × 60Δ × 128Δ for the multimode model, and λΔ × λΔ × 32Δ for the specificmode model, respectively, where Δ = 1 is the grid size and λ is the wavelength of the specific upperhybrid wave. For chosen gyroharmonic numbers and plasma temperatures, we fit the size of the specificmode model to find the wave mode with the maximal growth rate. In all models we use periodic boundary conditions in all three directions.
The model time step is d t = 1, electron plasma frequency ω_{pe} = 0.05, initial magnetic field is in the zdirection, and electron cyclotron frequency ω_{ce} varies from 0.38 ω_{pe} to 0.056 ω_{pe} approximating the gyroharmonic numbers s = 3–18. For dependencies of the growth rate on temperatures, we use s in the range of s = 3–7. Higher values of s up to 18 are used for calculating the saturation energies of the generated upperhybrid waves, which is needed for zebras with many zebra stripes. In the model we use two groups of electrons: cold background Maxwellian electrons with the thermal velocity v_{tb} = 0.03–0.05 c, corresponding to the temperature in the interval 5.4–14.8 MK, and hot electrons with the DGH distribution having the velocity v_{t} = 0.15–0.3 c. Higher values of the background plasma temperatures are given by the requirements of the PIC model. However, as known from the previous analytical study (Benáček et al. 2017) and shown in the following, variations of the background plasma temperature have little effect.
The electron density of background electrons was taken as n_{e} = 960 per cell and the ratio of background to hot electrons was taken as n_{e} ∕n_{h} = 8 with some exceptions mentioned in the following. The number of protons is the same as the number of electrons and their temperature is always the same as that of background electrons. The protontoelectron mass ratio m_{p} ∕m_{e} is 1836.
To find the maximal growth rate for specific physical parameters, we changed the model size λΔ in the perpendicular direction to the magnetic field. Namely, we fit the wavelength of the upperhybrid wave with the maximal growth rate to a distance of grids used in the PIC model. Thus, we get the maximal simulated growth rate. We found that the optimal model size does not change when computing with different ratios of the electron plasma and electron cyclotron frequencies, but is changed by changing the temperature.
At the beginning of DPR instability, the electric wave energy grows exponentially. We fit this part of the electric energy evolution by the function W_{UH} = A_{0} exp(2Γt), where A_{0} is the initial electric energy, t is time, and Γ is the growth rate in model units. Finally we expressed the growth rate of the upperhybrid waves in the ratio to the upperhybrid frequency.
3 Results
Firstly we compute an evolution of the DPR instability and generation of the upperhybrid waves in the multimode models with the parameters summarized in Table 1. We show an example of the time evolution of the electric energy density in the parallel and perpendicular directions to the magnetic field lines in Model 2M normalized to the kinetic energy density of hot electrons for the maximal growth rate and the gyroharmonic number s = 6 in Fig. 1. As can be seen here, the electric energy density in the perpendicular direction dominates over the parallel energy density by at least two orders of magnitude, which indicates the generation of the upperhybrid waves.
Examples of the time evolution of the energy density of the upperhybrid waves normalized to the kinetic energy density of hot electrons for three values of n_{h} ∕n_{e}, the gyroharmonic number s = 6, the maximal growth rate, and Model 2M are presented in Fig. 2. The growth rates, estimated in the early stages of the evolution, are written in this figure. As seen here, these growth rates are proportional to the density of hot electrons, in agreement with the paper by Yasnov & Karlický (2004). Furthermore, the normalized energy density of the upperhybrid waves in all three models converges to the same saturation energy, which indicates that the saturation energy of the upperhybrid waves is also proportional to the density of hot electrons. The kinetic energy density of hot electrons E_{k,hot} depends on the plasma density of hot electrons.
Parameters of the multimode models.
Fig. 1 Time evolution of the electric energy density in the parallel and perpendicular directions to the magnetic field lines in Model 2M (Table 1), normalized to the kinetic energy density of hot electrons for the maximal growth rate and the gyroharmonic number s = 6. 
Fig. 2 Time evolution of the energy density of the upperhybrid waves normalized to the kinetic energy density of hot electrons for three values of n_{h} ∕n_{e} and for the maximal growth rate and s = 6. Other parameters are the same as in Model 2M. 
3.1 DPRinstability in detail
To see the processes during the DPR instability in detail, we make a comparison of the distributions in the initial state and at ω_{pe} t = 1000 for Models 2M and 4M (Table 1; see Fig. 3). Comparing changes of the distribution in these models (left and right columns in Fig. 3), we can see that the instability with different model parameters causes different changes of the distribution function. The distribution function does not change only in one point of the phase space, but in the subspace defined by resonance ellipses corresponding to the range of k_{∥} . In Fig. 3, in the third row, we show these resonance ellipses in the phase space, where the changes are dominant. We also show how the resonance ellipses shift across the distribution function in dependance on k_{∥} (see the arrows). In both models, the losscones of the distributions are step by step fulfilled by electrons (see the red regions in the third row of Fig. 3) and thus the distributions become closer to the Maxwellian distribution. These changes are due to an increasing energy level of the upperhybrid waves.
We analyzed time evolution of energies in waves with the kwave vectors perpendicular to the magnetic field in Model 2M (Fig. 4). As seen in this figure, the interval of kvectors is relatively narrow and remains practically the same duringthe instability evolution. It shows that the energy of the upperhybrid waves is concentrated in the relatively narrow interval of kvectors. As will be shown in the following, it enables us to use the specificmode models.
Fig. 3 Changes of the electron distribution functions of hot electrons during the DPR instability. Left column: Model 2M with s = 6. Right column: Model 4M with resonance s = 5. First row: the distribution at the initial state. Second row: the distribution at ω_{pe} t = 1000. Distributions are normalized to their maximal value. Third row: the difference of the distributions between the initial state and at ω_{pe} t = 1000. Red regions are with enhanced densities and blue ones are with reduced densities. Elliptical lines show the resonance ellipses for a given kwave vector along magnetic field. Black arrows show that the ellipses shift with increasing value of k_{∥} . 
Fig. 4 Time evolution of energies in waves with the kwave vectors in perpendicular direction to the magnetic field lines in Model 2M. 
3.2 Comparison of specificmode and multimode model saturation
Because our main objective is to determine the growth rates and saturation energies in a broad range of parameters (which is importantfor the interpretation of observed zebras), we search for ways to accelerate computations. We decided to use the specificmode models that are much faster than the multimode ones. To justify their use, we compare the growth rate and saturation energies for all multimode models shown in Table 1 with the specificmode models with the same physical parameters. An example of this comparison for Model 2M is shown in Fig. 5. While in the multimode model we use the model size 128Δ× 60Δ × 128Δ, in the specificmode model in this case we use the model size 12Δ × 12Δ × 32Δ. This specificmode model covers interval of k_{⊥} c∕ω_{pe} above 5.23 (see Fig. 4). This means that this specificmode model covers the kvector waves that are important for the DPR instability. This explains why the results from the multimode and specificmode models are very similar (see the following).
As seen in Fig. 5, the growth rate and saturation energy in both the models agree very well. The same result is found for all other models according to Table 1. This agreement is caused by a dominance of the wave with the maximal growth rate (exponential increase) during an evolution of the double plasma resonance instability. We utilize this agreement in the following computations of the growth rates and saturation energies in a broad range of the model parameters. The agreement between numerically and analytically computed growth rates, shown in the following, also justifies the use of the specificmode models in our case.
Fig. 5 Time evolution of the upperhybrid wave energies for the multimode model 2M and specificmode model with the same model parameters. 
3.3 Effects of temperatures of hot and background plasma electrons on the growth rate
In the following computations with the specificmode models, we use the model parameters as shown in Table 2. Figure 6 presents the effects of the temperature of hot and background electrons on the growth rate. Every point in this figure is computed for at least three model sizes of the specificmode models. Error bars are estimated from their fit and the probability that the same initial parameters give the same result. Models with higher temperatures have lower errors because generated waves are more dominant over the background noise.
Growth rates have the maxima that are shifted to frequencies lower than those given by the gyroharmonic number s (Fig. 6, upper part and Fig. 7) and this shift increases with increasing temperature. The ratio between maximal and minimal growth rates for each temperatureis up to one order and increases with the decreasing temperature of hot electrons. These effects are in agreement with the analytical results (Benáček et al. 2017). However, contrary to the analytical results, the growth rate for v_{t} = 0.3 is higher than that for lower temperatures. We think that this difference is caused by differences in the analytical and numerical approach. While in the analytical approach we calculate the growth rate only for one specific kvector wave, in numerical computations kvectors in some interval are always in operation. The effect of the temperature of background plasma electrons is small (Fig. 6, bottom part), which agrees with the analytical theory (Benáček et al. 2017). We also determined the shifts of maxima of growth rate (Fig. 7). They increase with increasing s and also depends on temperature of hot electrons.
Parameters of the specificmode models.
Fig. 6 Growth rates in dependence on ω_{UH} ∕ω_{ce} for Models 1S–4S. Top: plots for three different temperatures of hot electrons v_{t} . Bottom: plots for two different temperatures of background plasma electrons v_{tb} . 
Fig. 7 Shifts of frequency of growth rate maxima from frequency given by gyroharmonic number s. 
3.4 Effect of the hotcold plasma density ratio on the frequency ofthe growth rate maximum
As shown in Fig. 8, the frequency of the growth rate maximum also depends on the ratio of the background and hot electron densities n_{e} ∕n_{h} . This dependence is exponential as shown by its fit and converges to ω_{UH} ∕ω_{ce} = 5.1 for high values of the n_{e}∕n_{h} ratio. Namely, low values of the n_{e}∕n_{h} ratio shift the resonance of the DPR instability and thus the frequency of the growth rate maximum. In the analytical analysis it is supposed that the density of cold electrons is much greater than that of hot electrons (n_{e} ≫ n_{h}).
In most of our simulations the density ratio n_{h} ∕n_{e} is 1:8 in order to keep a low numerical noise. However, such dependencies enable us to extrapolate our results to much lower density ratios, for example to 1:100 as usually considered in the zebra interpretation (see the following).
Fig. 8 Frequency of growth rate maximum as function of ratio of background and hot electron densities n_{e} ∕n_{h} for parameters in Model 2S and s = 6. 
3.5 Comparison of the numerical and analytical growth rates
We compared the simulated growth rates with the analytical ones presented in the paper by Benáček et al. (2017). The comparison is shown in Fig. 9. It was made as follows. We chose the upperhybrid frequency and hot electron density as ω_{UH} = 7 × 10^{9} s^{−1} (f_{UH}= 1.11 GHz) and n_{h} =10^{8} cm^{−3}. We changed the growth rate plot expressed in dependence on ω_{ce} (Benáček et al. 2017) to that in dependence on ω_{UH} . Then, we transformed the simulated growth rates, computed for n_{e} ∕n_{h} = 8, to those with n_{e}∕n_{h} = 100. The transformation was made in two steps. We shifted the simulated growth rate maxima toward lower values of ω_{UH} ∕ω_{ce} accordingtothe relation expressed in Fig. 6. Finally, the growth rates were multiplied by the factor 8∕100 using the linear relation between the growth rate and density of hot electrons (Yasnov & Karlický 2004). As shown in Fig. 9, there is good agreement between the numerically and analytically computed growth rates.
Fig. 9 Comparison of the simulated and analytically derived growth rates for v_{t} = 0.2 c and v_{tb} = 0.03 c. 
3.6 Saturation energy levels of the upperhybrid waves in a broad range of gyroharmonic numbers
In all models, we determined the saturation energy of the upperhybrid waves. The saturation energy is reached when the growth rate is balanced by nonlinear effects. The time when the saturation begins depends on the model parameters. In our cases, the saturation time was in the time interval ω_{pe} t_{satur} = 300–1200. Mostly, the maximal growth rate leads to maximal saturation energy, but this is not a rule. In some cases, the saturated energy is higher in the model with lower growth rate. In other cases, the saturation energies have recognizable maxima, while the growth rate is nearly constant in the broad range of ratios of ω_{UH} ∕ω_{ce}.
We computed one set of models changing the gyroharmonic number s from s =3 up to s = 18 and keepingthe same temperatures as in Model 2S. As shown in Fig. 10, the saturation energy level in local maxima decreases with increasing s and converges to the value W_{UH} ≈ 1.6 × 10^{−3}E_{h,kin} (see the exponential fit as presented in Fig. 10). This exponential function can be used for an extrapolation of the saturation energies for even higher parameter s, which is useful for zebras with many stripes.
Maximal values of the saturated energy levels of theupperhybrid waves for low values of s are about one percent of the kinetic energy of hot electrons. The saturated energy levels increase with an increase in the kinetic energy (temperature) of hot electrons.
Similarly to the growth rates, the saturation energies (Fig. 11) have the maxima and minima shifted to lower ratios of ω_{UH}∕ω_{ce} than those given by the integer values of the gyroharmonic number s. Figure 12 shows these shifts. The frequency of the growth rate and saturation energy maximum is not generally the same. The saturation energy maxima are usually less shifted to lower frequencies than the growth rate maxima. However, contrary to the growth rates, the contrast between the maxima and minima increases with the increasing temperature of hot electrons (Fig. 11, upper part). Similarly, in the models that vary the temperature of background plasma electrons, the contrast between the saturation energy maxima and minima is higher than that for the growth rates (Fig. 11, bottom part).
Fig. 10 Maximal saturation energies of the upperhybrid waves in dependence on the gyroharmonic number s for Model 2S with the exponential fit. 
Fig. 11 Saturation energies as a function of ω_{UH} ∕ω_{ce} . Top: plots for three different temperatures of hot electrons v_{t} . Saturation maxima are shifted to lower ratios ω_{UH} ∕ω_{ce} . Bottom: plots for two different temperatures of background plasma electrons v_{tb} . 
Fig. 12 Shifts of the frequency of the saturated energy maxima from the frequency given by the gyroharmonic number s. 
4 Discussion and conclusions
Using the 3D PIC model in two versions (multimode and specificmode models) we computed not only the growth rates of the double plasma resonance instability, but also saturation energies of the generated upperhybrid waves. We described details of the DPR instability by showing how the distribution function of hot electrons changes during the DPR instability. We found that the growth rate as well as the saturation energy are proportional to the density of hot electrons.
Owing to many assumptions made in our previous analytical study, we checked the analytical results using the present numerical models. We found a very good agreement between the numerical and analytical results. This justifies a use of the specificmode models in this case. We confirmed that the growth rate maxima are shifted to lower frequencies in comparison with those given by the gyroharmonic number s. This frequency shift increases with an increase of the temperatureof hot electrons, in agreement with the analytical results. We confirmed that the contrast between maxima and minima of the growth rate decreases with the increasing of the hot electron temperature. On the other hand, the temperature of the background plasma has only a small effect on the growth rates.
We found that the frequency of the growth rate maximum depends on the ratio of the background and hot electron densities n_{e} ∕n_{h}. We used this dependence to extrapolate our numerical results, made mostly for the ratio n_{e} ∕n_{h} = 8, to those with the ratio n_{e}∕n_{h} = 100 considered usually in the analytical studies of zebras. Using this dependence in detailed comparison of the analytical and numerical growth rates, made in the interval of ω_{UH}∕ω_{ce} = 3–7 and the parameters considered in zebras, we found very good agreement.
We think that some small differences between the numerical and analytical results are caused by differences in the two methods. In numerical simulations, as in reality, the DPR instability works in some regions of the kvector space, not only with one kvector as assumed in the analytical theory. Furthermore, in some of the present simulations we found deviations from the assumption made in the analytical approach (k_{⊥}≫ k_{∥}).
We computed the saturation energies of the generated upperhybrid waves, which is beyond the possibilities of the analytical theory. We compared the results of the multimode and specificmode models considering the same physical parameters. We found very good agreement between the results from both types of model. This agreement is caused by a dominance of the wave with the maximal growth rate during an evolution of the double plasma resonance instability. Therefore we used the specificmode models, which considerably save computational time, for the computation of the saturation energies in a broad range of the parameter s. A use of the specificmode models is also justified by a very good agreement between the growth rates computed numerically and analytically. We found that the saturation energy decreases with increasing s and this decrease is exponential. This exponential dependance of the saturation energy can be used for an extrapolation of the saturation energies for the parameter s even greater than 18, which is useful for the interpretation of zebras with many zebra stripes (Karlický & Yasnov 2015; Yasnov & Karlický 2015).
Acknowledgements
We acknowledge support from Grants 1613277S and 1716447S of the Grant Agency of the Czech Republic. Computational resources were provided by the CESNET LM2015042 and the CERIT Scientific Cloud LM2015085, provided under the programme “Projects of Large Research, Development, and Innovations Infrastructures”.
References
 Benáček, J., Karlický, M., & Yasnov, L. 2017, A&A, 598, A106 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
 Buneman, O., & Storey, L. R. O. 1985, Simulations of fusion plasmas by A 3D, EM particle code, Tech. Rep. [Google Scholar]
 Dory, R. A., Guest, G. E., & Harris, E. G. 1965, Phys. Rev. Lett., 14, 131 [NASA ADS] [CrossRef] [Google Scholar]
 Karlický, M., & Bárta, M. 2008, Sol. Phys., 247, 335 [NASA ADS] [CrossRef] [Google Scholar]
 Karlický, M., & Yasnov, L. V. 2015, A&A, 581, A115 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
 Ledenev, V. G., Karlický, M., Yan, Y., & Fu, Q. 2001, Sol. Phys., 202, 71 [NASA ADS] [CrossRef] [Google Scholar]
 Matsumoto, H., & Omura, Y. 1993, Computer Space Plasma Physics: Simulation Techniques and Software (Tokyo: Terra Scientific Pub. Co), 305 [Google Scholar]
 Melrose, D. B., & Dulk, G. A. 1982, ApJ, 259, 844 [NASA ADS] [CrossRef] [Google Scholar]
 Treumann, R. A., Nakamura, R., & Baumjohann, W. 2011, Ann. Geophys., 29, 1673 [NASA ADS] [CrossRef] [Google Scholar]
 Winglee, R. M., & Dulk, G. A. 1986, ApJ, 307, 808 [NASA ADS] [CrossRef] [Google Scholar]
 Yasnov, L. V., & Karlický, M. 2004, Sol. Phys., 219, 289 [NASA ADS] [CrossRef] [Google Scholar]
 Yasnov, L. V., & Karlický, M. 2015, Sol. Phys., 290, 2001 [NASA ADS] [CrossRef] [Google Scholar]
 Zaitsev, V. V., & Stepanov, A. V. 1983, Sol. Phys., 88, 297 [NASA ADS] [CrossRef] [Google Scholar]
 Zheleznyakov, V. V., & Zlotnik, E. Y. 1975, Sol. Phys., 44, 461 [NASA ADS] [CrossRef] [Google Scholar]
 Zlotnik, E. Y. 2013, Sol. Phys., 284, 579 [NASA ADS] [CrossRef] [Google Scholar]
All Tables
All Figures
Fig. 1 Time evolution of the electric energy density in the parallel and perpendicular directions to the magnetic field lines in Model 2M (Table 1), normalized to the kinetic energy density of hot electrons for the maximal growth rate and the gyroharmonic number s = 6. 

In the text 
Fig. 2 Time evolution of the energy density of the upperhybrid waves normalized to the kinetic energy density of hot electrons for three values of n_{h} ∕n_{e} and for the maximal growth rate and s = 6. Other parameters are the same as in Model 2M. 

In the text 
Fig. 3 Changes of the electron distribution functions of hot electrons during the DPR instability. Left column: Model 2M with s = 6. Right column: Model 4M with resonance s = 5. First row: the distribution at the initial state. Second row: the distribution at ω_{pe} t = 1000. Distributions are normalized to their maximal value. Third row: the difference of the distributions between the initial state and at ω_{pe} t = 1000. Red regions are with enhanced densities and blue ones are with reduced densities. Elliptical lines show the resonance ellipses for a given kwave vector along magnetic field. Black arrows show that the ellipses shift with increasing value of k_{∥} . 

In the text 
Fig. 4 Time evolution of energies in waves with the kwave vectors in perpendicular direction to the magnetic field lines in Model 2M. 

In the text 
Fig. 5 Time evolution of the upperhybrid wave energies for the multimode model 2M and specificmode model with the same model parameters. 

In the text 
Fig. 6 Growth rates in dependence on ω_{UH} ∕ω_{ce} for Models 1S–4S. Top: plots for three different temperatures of hot electrons v_{t} . Bottom: plots for two different temperatures of background plasma electrons v_{tb} . 

In the text 
Fig. 7 Shifts of frequency of growth rate maxima from frequency given by gyroharmonic number s. 

In the text 
Fig. 8 Frequency of growth rate maximum as function of ratio of background and hot electron densities n_{e} ∕n_{h} for parameters in Model 2S and s = 6. 

In the text 
Fig. 9 Comparison of the simulated and analytically derived growth rates for v_{t} = 0.2 c and v_{tb} = 0.03 c. 

In the text 
Fig. 10 Maximal saturation energies of the upperhybrid waves in dependence on the gyroharmonic number s for Model 2S with the exponential fit. 

In the text 
Fig. 11 Saturation energies as a function of ω_{UH} ∕ω_{ce} . Top: plots for three different temperatures of hot electrons v_{t} . Saturation maxima are shifted to lower ratios ω_{UH} ∕ω_{ce} . Bottom: plots for two different temperatures of background plasma electrons v_{tb} . 

In the text 
Fig. 12 Shifts of the frequency of the saturated energy maxima from the frequency given by the gyroharmonic number s. 

In the text 
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