- 1Deep Space Exploration Laboratory/School of Earth and Space Sciences, University of Science and Technology of China, Hefei, China
- 2CAS Key Laboratory of Geospace Environment, School of Earth and Space Sciences, University of Science and Technology of China, Hefei, China
- 3CAS Center for Excellence in Comparative Planetology, University of Science and Technology of China, Hefei, China
- 4School of Astronomy and Space Science, Nanjing University, Nanjing, China
- 5Collaborative Innovation Center of Astronautical Science and Technology, Hefei, Anhui, China
- 6Mengcheng National Geophysical Observatory, School of Earth and Space Sciences, University of Science and Technology of China, Hefei, China
Introduction: Large-scale solar eruptive activities have a close relationship with coronal magnetic flux ropes. Previous numerical studies have found that the equilibrium of a coronal flux rope system could be disrupted if the axial magnetic flux of the rope exceeds a critical value, so that the catastrophe occurs, initiating the flux rope to erupt. Further studies discovered that the catastrophe does not necessarily exist: The flux rope system with certain photospheric flux distributions could be non-catastrophic. It is noteworthy that most previous numerical studies are under the ideal magnetohydrodynamic (MHD) condition, so that it is still elusive whether there is the catastrophe associated with the critical axial flux if magnetic reconnection is included in the flux rope system.Methods: In this paper, we carried out numerical simulations to investigate the evolutions of coronal magnetic rope systems under the ideal MHD and the resistive condition.Results and discussions: Under the ideal MHD condition, our simulation results demonstrate that the flux rope systems with either too compact or too weak photospheric magnetic source regions are non-catastrophic versus varying axial flux of the rope, and thus no eruption could be initiated; if there is magnetic reconnection in the rope system, however, those flux rope systems could change to be capable of erupting via the catastrophe associated with increasing axial flux. Therefore, magnetic reconnection could significantly influence the catastrophic behaviors of flux rope system. It should be both the magnetic topology and the local physical parameters related to magnetic reconnection that determine whether the increasing axial flux is able to cause flux rope eruptions.
1 Introduction
Large-scale solar eruptive activities are the principal cause of extreme space weather in Earth and planetary space environments (Švestka, 2001; Cheng et al., 2014; Lugaz et al., 2017; Gopalswamy et al., 2018). Different kinds of large-scale solar eruptions, including prominence/filament eruptions (Li et al., 2016; Jenkins et al., 2018; Fan, 2020; Devi et al., 2021), flares (Chen et al., 2015; Li et al., 2016; Cheung et al., 2019), and coronal mass ejections (CMEs, Shen et al., 2014; Lamy et al., 2019; Bemporad et al., 2022), are generally considered to be different manifestations of the eruptions of coronal magnetic flux rope (Zhang et al., 2001; Vršnak et al., 2005; Jiang et al., 2016; Chen et al., 2020; Liu, 2020). Therefore, investigating the initiation and evolution of flux rope eruptions is crucial not only for understanding solar eruptions, but also for space weather forecasting. Many theoretical models have been proposed to shed light on the physical scenario of coronal flux rope eruptions. These models are based on different kinds of physical mechanisms, such as ideal magnetohydrodynamic (MHD) instabilities (Török and Kliem, 2003; Aulanier et al., 2010; Guo et al., 2010; Savcheva et al., 2012; Keppens et al., 2019), magnetic reconnection (Antiochos et al., 1999; Chen and Shibata, 2000; Moore et al., 2001; Sterling and Moore, 2004; Archontis and Hood, 2008; Inoue et al., 2015), and the catastrophes of coronal flux ropes (Van Tend and Kuperus, 1978; Forbes and Priest, 1995; Lin and van Ballegooijen, 2002; Kliem et al., 2014; Zhang et al., 2021).
Many theoretical studies suggested that flux rope catastrophes are intriguing candidates for the source of solar eruptions (e.g., Isenberg et al., 1993; Lin and Forbes, 2000). In the flux rope catastrophe theory, the onset of the eruption is approached as the loss of equilibrium of the coronal flux rope system. Before the onset, the flux rope should be static or quasi-static (Török et al., 2013; Liu, 2020), indicating that the flux rope system is in equilibrium. If the equilibrium is not disrupted, the net force on the flux rope will always be zero, so that its state of motion will remains unchanged, i.e., no eruption of the flux rope could occur. Therefore, loss of equilibrium must occur during the onset of the eruption, and the resultant net force initiates the flux rope to erupt. This is the fundamental scenario of the catastrophe of coronal flux ropes. The investigation about when and how the catastrophe occurs is based on the equilibrium manifold (Forbes and Priest, 1995; Isenberg and Forbes, 2007; Kliem et al., 2014), which consists of all the equilibrium states of the flux rope system. For example, by analytically deriving the equilibrium manifold as a function of current within the flux rope, Van Tend and Kuperus. (1978) for the first time discovered that there is a critical value of the current, beyond which there are no neighbouring equilibrium states so that the catastrophe occurs, which results in a discontinuous equilibrium manifold; this critical value is referred to as the catastrophic point. Many more analytical studies have verified that the catastrophe could occur in various types of coronal flux rope systems, resulting in the eruption of the flux rope (Priest and Forbes, 1990; Forbes and Priest, 1995; Lin and Forbes, 2000; Démoulin and Aulanier, 2010; Kliem et al., 2014; Longcope and Forbes, 2014). In addition, numerical simulations have also been carried out in many previous studies to investigate the catastrophes of coronal flux ropes (Forbes, 1990; Chen et al., 2007; Zhang et al., 2017a; Zhang et al., 2021). In numerical studies, the equilibrium manifold as a function of a certain physical parameter is obtained by simulating the equilibrium solutions of the flux rope system with different values of this parameter. For example, Su et al. (2011) discovered that the equilibrium manifold versus the axial magnetic flux of the flux rope is discontinuous at a critical value, beyond which a catastrophe occurs. Similar results are obtained in many other numerical studies (Bobra et al., 2008; Su et al., 2009; Su et al., 2011; Zhang et al., 2017a; Zhang et al., 2017b), indicating that the axial flux of the rope should play an important role in initiating solar eruptions.
The catastrophe associated with the critical axial flux does not necessarily exist in coronal flux rope system. Previous numerical studies have demonstrated that the photospheric flux distributions of the background field greatly influence the catastrophic behaviors of coronal flux rope systems (Sun et al., 2007; Zhang et al., 2017a; Zhang et al., 2017b). Previous studies found that there are two types of non-catastrophic flux rope systems: if the photospheric flux is too concentrated toward the polarity inversion line (hereafter “compact” cases), or the total magnetic flux originating from the photospheric magnetic source regions is too weak (hereafter “weak” cases), the equilibrium manifold as a function of the rope’s axial flux will be continuous so that no catastrophe could occur. It is still an open question why there is no catastrophe in these two types of flux rope system; Zhang et al. (2017b) inferred that the constraint from the background field on the flux rope might probably plays an considerable role. It is noteworthy that magnetic reconnection is completely prohibited in those studies, so that their conclusion about the two types of non-catastrophic flux rope systems is under the ideal MHD condition. Since the actual solar corona is resistive, there should be reconnection in actual coronal flux rope systems (Jiang et al., 2021; Bian et al., 2022; Yan et al., 2022). In fact, magnetic reconnection could not only change the magnetic topology, resulting in the redistribution of the Ampère’s force (also known as Lorentz force in many papers), but the reconnection outflow could also push the flux rope upward (Chen et al., 2004; Wang et al., 2007; Xue et al., 2016; Cheng et al., 2020). This indicates that magnetic reconnection could contribute to the force balance of a coronal flux rope system, implying that the catastrophic behaviors of the rope system might differ under the ideal MHD and the resistive condition. Therefore, it is critical to assess the influence of magnetic reconnection on the catastrophic behaviors of coronal flux rope systems, so as to shed more light on the catastrophe theory for solar eruptions. To achieve this, we use a 2.5-dimensional MHD numerical model to simulate the catastrophic behaviors of the coronal flux rope systems with either compact or weak photospheric source regions. Both the equilibrium manifolds versus the axial magnetic flux under the ideal MHD and the resistive condition are simulated, based on which the influence of magnetic reconnection is investigated. The rest of this paper is arranged as follows: the numerical model and simulating procedures are introduced in Section 2, the simulation results are presented in Section 3, and the conclusion and discussion are given in Sect. 4.
2 Numerical model
2.1 Basic equations
The numerical model in our simulation is similar as those used in Zhang et al., 2017a; Zhang et al., 2017b. For 2.5-dimensional cases, by assuming all the quantities satisfy ∂/∂z = 0, the magnetic field can be written in form of magnetic flux function ψ:
Here z is the unit vector in z−direction. Obviously, the divergence-free condition (▿⋅B = 0) is always satisfied. With the form given in Eq. 1, the MHD equations in our simulations could be rewritten in the following form:
where
Here ρ is the density, v the velocity, T the temperature, γ = 5/3 the polytropic index, g the gravity, η the resistivity, and β0 = .1 the characteristic ratio of the gas pressure to the magnetic pressure, which is comparable to the value in quiescent regions (Anzer and Heinzel, 2007; Hillier et al., 2012; Xia et al., 2012). The x, y, and z−component of the quantities are denoted by the subscript x, y, z. The radiation and the heat conduction in the energy equation are neglected. The numerical domain in our simulation is 0 < x < 200 Mm, 0 < y < 500 Mm; it is discretized into 200 × 250 uniform meshes.
2.2 Initial state
Table 1 The initial states in our simulations are constructed by numerical procedures. Here we first use the complex variable method (e.g., Hu and Liu, 2000; Zhang et al., 2017a) to construct the background field originating from photospheric magnetic source regions. The background field is a partially open bipolar field, with a negative surface magnetic charge located at the lower boundary within −b < x < − a, and a positive one within a < x < b; the distance between the two source regions is D = 2a, and the width of the source region W = b−a. The background field in x−y plane could then be expressed in the complex variable form as:
where ω = x + iy,
and the neutral point of the background field is at (y = yN, x = 0). As indicated by Eq. 8, the magnetic field strength of the background field is proportional to the dimensionless parameter λ. The magnetic flux function within the domain could then be calculated by:
With calculated the flux function ψ, and by letting Bz = 0 in the background field, the magnetic configuration of the background field is obtained (Eq. 1). In particular, the flux function of the background field at the lower base, ψi, could be calculated as:
and the flux function at the neutral point of the background field is
here
For a given background magnetic field, its characteristic physical parameters include D, W, ψc and κ, which could be calculated with a group of given a, b, yN, and λ. For example, by letting a = 5.00 Mm, b = 7.00 Mm, yN = 4.49 Mm, λ = 1.0, the calculated background configuration is plotted in Figure 1A, and the characteristic parameters of this background field are: D = 10 Mm, W = 2 Mm, ψc = 2.34 × 1010 Mx cm−1, and κ = .80, as tabulated in the second column (Case I) in Table 1. The initial corona in our simulations is static and isothermal:
where ρ0 = 3.34 × 10–13 kg m−3.
FIGURE 1. The magnetic configurations of the background fields and initial states in the simulation. Panel (A) is the background field for Case I, and panel (E) is the corresponding initial state; panels (B) and (F), (C) and (G), (D) and (H) are those for Case II, III, IV, respectively. The black curves are the magnetic field lines, and the green curves mark the boundary of the flux rope. The physical parameters for the background fields and initial states are tabulated.
With the background field obtained above, we let a flux rope emerge from the lower base of the domain with similar simulating procedures as those introduced in, e.g., Zhang et al. (2017a) and Zhang et al. (2020), and then relax the flux rope system to equilibrium. The resultant equilibrium state consisting of a flux rope embedded in the background field is the constructed initial state. For the background field plotted in Figure 1A, the constructed initial state is illustrated in Figure 1E. The magnetic properties of a flux rope could be characterized by its magnetic fluxes, including the total axial flux passing through the rope’s cross section, Φz = ∬ BzdS, and the annular flux per unit length along z-direction of the rope, Φp; in 2.5 dimensional cases, the poloidal flux is calculated as:
where ψrc and ψrb are the flux function ψ at the center and the boundary of the flux rope, respectively. For the initial state illustrated in Figure 1E, Φz0 = 1.416 × 1019 Mx and Φp0 = 7.450 × 109 Mx cm−1. With this initial state, we could further simulate the catastrophic behaviors of the coronal flux rope system with the given photospheric magnetic conditions (detailed simulating procedures are introduced in Section 2.3). It is noteworthy that the radius of the flux rope in our simulation is finite, so that the thin-rope approximation is not satisfied. Under this circumstance, the initial state could only be obtained by numerical procedures.
In our simulations, apart from those plotted in Figure 1A and Figure 1E, we also construct another three groups of background field and initial state with similar procedures introduced above, and their parameters are tabulated in Table 1; all these 4 cases are marked as Case I ∼IV, respectively. The background field and the initial state in Case II are illustrated in Figure 1B and Figure 1F, respectively. As shown by the second and the third column in Table 1, D, W, and κ in Case I and Case II are the same; the only difference in the characteristic parameters of the background field between these two cases is that ψc in Case II is much smaller than that in Case I (achieved by adjusting λ to .1 in Case II), i.e. the intensity of the background magnetic field originating from the photospheric source regions in Case II is much weaker than those in Case I. For Case III and Case IV, the corresponding background fields and initial states are illustrated in Figures 1C–D and Figures 1G–H), respectively. As shown in the last two columns in Table 1, the characteristic parameters of the background field in these two cases are the same, except that the distance between the source regions, D, is much smaller in Case IV than that in Case III.
2.3 Simulating procedures
Starting from each of the four initial states obtained above, we simulate the equilibrium states of the corresponding flux rope system with different axial magnetic fluxes of the rope: from 0 ∼ 20τA (τA = 17.4 s is the typical Alfvén transit time), the axial flux Φz and the poloidal flux Φp are adjusted from the initial values to a certain group of target values (
here ηm = .10, L0 = 107 m, v0 = 128.57 km s−1, jc = 2.96 × 10–5 A m−2, and μ0 is the vacuum magnetic permeability. On the other hand, for the simulations under the ideal MHD conditions, we use similar simulating procedures as those in Zhang et al. (2017a,b) during the relaxation to prohibit the reconnection: first set the resistivity η to be 0, and then reassign the flux function ψ along the current sheet with the initial values at each time step, so as to keep ψ invariant along the current sheet. Since any reconnection will reduce the value of ψ at the current sheet, both physical and numerical reconnections are prohibited with the simulating procedures introduced above. For the given target values
Similar simulations are repeated for different target values ((
In our simulations, the quantities at the lower boundary of the domain are fixed, so that the lower boundary corresponds to the photosphere. Symmetric boundary condition is used at the left side of the domain (x = 0). At the other boundaries, increment equivalent extrapolation (Zhang et al., 2017a; b) is used to prescribe the boundary quantities:
where U represents the quantities. The superscript n denote the quantities at the current time step, and n+1 the next time step; the subscript b indicates the quantities at the boundary, and b−1 those at the grids next to the boundary.
3 Simulation results
3.1 Weak cases
The equilibrium manifold as a function of the axial flux Φz under the ideal MHD condition for Case I is plotted in Figure 2A. All the equilibrium states have the same Φp = 7.45 × 109 Mx cm−1. Obviously, this equilibrium manifold is discontinuous: the flux rope keeps sticking to the photosphere (Figures 2B–C)) before reaching a critical axial flux at about 1.527 × 1018 Mx, which is marked by the black vertical dotted line in Figure 2A; otherwise, the flux rope jumps upward (Figure 2D), indicating that a catastrophe occurs. Therefore, the flux rope system in Case I is catastrophic under the ideal MHD condition.
FIGURE 2. The simulation results for Case I and Case II. Panel (A) is the equilibrium manifold for Case I under the ideal MHD condition; panels (B–D) are the magnetic configuration of the simulated equilibrium states for Case I, and the corresponding Φz is marked at the top of each panel. Panels (E–H) and panels (I–(L) are the simulation results for Case II under the ideal MHD and the resistive condition, respectively; the red vertical dotted line in panel (I) denote the catastrophic point
The equilibrium manifold under the ideal MHD condition for Case II is plotted in Figure 2E, and all the equilibrium states have the same Φp = 2.980 × 109 Mx cm−1. Different from that in Figure 2A, the equilibrium manifold under the ideal MHD condition for Case II is continuous: the height of the rope axis, H, gradually rises as Φz increases, and the magnetic configurations of some equilibrium states are illustrated in Figure 2F-2h). The evolution of the flux rope system during the relaxation to simulate the equilibrium state in Figure 2G is shown in Figures 3A1-A4. After Φz is increased to 1.613 × 1018 Mx at t = 20τA (Figure 3A1), the flux rope gradually rises and then is suspended in the corona (Figures 3A2–A3), until it reaches equilibrium (Figure 3A4), the same as Figure 2G). Although a current sheet is formed by the magnetic field of opposite directions below the rope, the magnetic reconnection is prohibited by the simulating procedures introduced in Section 2.3. These simulation results demonstrate that the flux rope system in Case II is non-catastrophic so that no eruption could be initiated under the ideal MHD condition. As introduced in Section 2.2, the only difference in the characteristic parameters of the background field in Case I and Case II is ψc: the intensity of the background magnetic field originating from the photospheric source regions in Case II is much weaker than those in Case I, i.e. Case II is a “weak” case. This result is consistent with the conclusions in Zhang et al., 2017a; Zhang et al.,2017b.
FIGURE 3. The temporal evolutions of the flux rope for Case II. Panels (A1–A4) illustrate the evolution of the flux rope during the relaxation to simulate the equilibrium state in Figure 2G. Panels (B1–B4) illustrate the evolution of the flux rope during the relaxation to simulate the equilibrium state in Figure 2K, which is the equilibrium state right before
To investigate the influence of magnetic reconnection on the catastrophic behaviors of flux rope systems with weak photospheric source regions, we also simulate the equilibrium manifold under the resistive condition for Case II, as plotted in Figure 2I. Obviously, if there is magnetic reconnection in the flux rope system, the equilibrium manifold is discontinuous: there is a critical axial magnetic flux
3.2 Compact cases
The simulation results under the ideal MHD condition for Case III and Case IV are illustrated in Figures 4A–D and Figures 4E–H), respectively, in which all the simulated equilibrium states have the same Φp = 1.490 × 1010 Mx cm−1. As introduced in Section 2.2 and Table 1, the distance between the photospheric source regions is much smaller in Case IV than that in Case III. As shown in Figure 4A, the flux rope system in Case III is catastrophic: the catastrophe occurs if Φz reaches 6.072 × 1019 Mx, as marked by the black vertical dotted line in Figure 4A. The flux rope system in Case IV, however, is non-catastrophic; its equilibrium manifold is continuous. This indicates Case IV is a “compact” case, which is also consistent with Zhang et al. (2017a,b). The evolution of the flux rope system to reach the equilibrium state in Figure 4G is shown in Figures 5A1–A4.
FIGURE 4. The simulation results for Case III and Case IV. Panel (A–D) are the simulation results for Case III under the ideal MHD condition. Panels (E–H) and panels (I–L) are the simulation results for Case IV under the ideal MHD condition and the resistive condition, respectively; the red vertical dotted line in panel (I) denote the catastrophic point
FIGURE 5. The temporal evolution of the flux rope for Case IV. Panels (A1–A4) illustrate the evolution of the flux rope during the relaxation to simulate the equilibrium state in Figure 4G. Panels (B1–B4) illustrate the evolution of the flux rope during the relaxation to simulate the equilibrium state in Figure 4K, which is the equilibrium state right before
Similar as those in Section 3.1, we also simulate the equilibrium manifold under the ressitive condition for Case IV, so as to investigate the influence of magnetic reconnection on the catastrophic behaviors of flux rope systems with compact photospheric source regions. As plotted in Figure 4I, there is a critical axial magnetic flux
4 Discussion and conclusion
In this paper, we investigate the influence of magnetic reconnection on the catastrophic behaviors of coronal flux rope systems associated with increasing axial magnetic flux of the rope. Under the ideal MHD condition, our simulation results demonstrate that coronal flux rope systems with either too compact or too weak photospheric source regions are non-catastrophic versus varying axial magnetic flux. Under the resistive condition, however, both the flux rope system with too compact and too weak photospheric source regions could change to be catastrophic: the catastrophe occurs when the axial flux of the rope increases to reach the critical value, so that the eruption of the flux rope is initiated.
Our simulation results demonstrate that the equilibrium manifolds of a coronal flux rope system could be quite different under the ideal MHD and the resistive condition (e.g., Figure 2E; Figure 2I). This indicates that magnetic reconnection should play a considerable role in determining the force balance and the corresponding the loss of equilibrium associated with increasing axial magnetic flux in coronal flux rope systems. We note that the continuous equilibrium manifold (Figure 2E) is different from the discontinuous equilibrium manifold (Figure 2I) in essence. It is widely accepted that solar eruptions should be caused by photospheric and coronal disturbances (Lin et al., 2003), the spatial range of which, however, is much smaller than that of solar eruptions (Priest, 2014). If the equilibrium manifold of a flux rope system is continuous, the variations of Φz caused by photospheric or coronal disturbances could only cause flux rope movements on a spatial scale comparable to the disturbance itself. In contrast, if the equilibrium manifold is discontinuous, there is a critical axial flux of Φz, so that even an infinitesimal increment of Φz to reach this critical value could cause the catastrophe of the flux rope, resulting in much larger scale of movement of the flux rope than that of the disturbances. Therefore, solar eruptions could only be initiated in the coronal flux rope system whose equilibrium manifold is discontinuous.
In previous studies, the forecasting of solar eruptions is generally based on the photospheric magnetic flux distributions within solar active regions (e.g., Leka and Barnes, 2007; Bobra and Couvidat, 2015; Toriumi and Wang, 2019; Korsós et al., 2020). However, as revealed by our simulation results, not only do different photospheric flux distributions result in different evolutions of the flux rope system, but the catastrophic behaviors of a particular flux rope system with given photospheric flux distribution could also differ under the ideal MHD condition and the resistive condition. This implies that two active regions with similar photospheric flux distribution might be quite different in their ability to initiate solar eruptions, provided that the local resistivity and characteristic spatial scale differs in the two active regions. Therefore, it should not be sufficient to predict whether a solar active region will be a potential source region for solar eruptions based solely on its photospheric magnetic flux distributions. Our simulation results suggest that both the magnetic topology and the local physical parameters related to magnetic reconnection determine whether increasing axial flux is able to cause flux rope eruptions.
There are also catastrophes associated with other physical parameters of flux rope systems, such as increasing shear of the background field (Chen et al., 2006) and decreasing mass of the rope (Jenkins et al., 2019; Zhang et al., 2021). It could be inferred that the catastrophic behaviors associated with those parameters might probably also be determined by both the magnetic topology and whether the magnetic system is resistive. In our future work, we will carry out more simulations to further investigate the influence of magnetic reconnection on different kinds catastrophes.
Data availability statement
The original contributions presented in the study are included in the article/Supplementary Material, further inquiries can be directed to the corresponding author.
Author contributions
QZ carried out the numerical simulation, analyzed the simulation results, and prepared the manuscript. XC contributed to the initial inspiration of this study, and the improvement of the numerical model. RL contributed to the analysis of the simulation results. AS, XL, and YW joined in the discussions about the simulation results.
Funding
This research is supported by the National Natural Science Foundation of China (NSFC 42174213, 42188101, 42130204, 41804161, 41774178, 41774150), the Strategic Priority Program of CAS (XDB41000000 and XDA15017300), the Informatization Plan of Chinese Academy of Sciences, Grant No.CAS-WX2021PY-0101, and the Key Research Program of the Chinese Academy of Sciences, Grant NO. ZDBS-SSW-TLC00103. This research is also supported by USTC Research Funds of the Double First-Class Initiative.
Conflict of interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
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Keywords: sun filaments, sun flares, sun magnetic fields, sun prominences, sun coronal mass ejections, sun activity
Citation: Zhang Q, Cheng X, Liu R, Song A, Li X and Wang Y (2023) Influence of magnetic reconnection on the eruptive catastrophes of coronal magnetic flux ropes. Front. Astron. Space Sci. 9:1084678. doi: 10.3389/fspas.2022.1084678
Received: 30 October 2022; Accepted: 20 December 2022;
Published: 09 January 2023.
Edited by:
Chaowei Jiang, Harbin Institute of Technology, Shenzhen, ChinaReviewed by:
Satoshi Inoue, New Jersey Institute of Technology, United StatesZhixing Mei, Yunnan Observatories, National Astronomical Observatories (CAS), China
Copyright © 2023 Zhang, Cheng, Liu, Song, Li and Wang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Quanhao Zhang, zhangqh@ustc.edu.cn