Modeling the IRIS Lines During a Flare. I. The Blue-wing Enhancement in the Mg II k Line

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Published 2020 February 19 © 2020. The American Astronomical Society. All rights reserved.
, , Citation Jie Hong et al 2020 ApJ 890 115 DOI 10.3847/1538-4357/ab6d05

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0004-637X/890/2/115

Abstract

The Interface Region Imaging Spectrograph (IRIS) Mg ii k line serves as a very good tool to diagnose the heating processes in solar flares. Recent studies have shown that apart from the usual red asymmetries that are interpreted as the result of condensation downflows, this line could also show a blue-wing enhancement. To investigate how such a blue asymmetry is formed, we perform a grid of radiative hydrodynamic simulations and calculate the corresponding line profiles. We find that such a spectral feature is likely to originate from the upward plasma motion in the upper chromosphere. However, the formation region that is responsible for the blue-wing enhancement could be located in an evaporation region, in an upward-moving blob, and even an upward-moving condensation region. We discuss how the electron beam parameters affect these different dynamics of the atmosphere.

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1. Introduction

The Mg ii k and h lines, which originate from the transition between the Mg ii 3s and 3p terms, are the strongest lines in the Interface Region Imaging Spectrograph (IRIS; De Pontieu et al. 2014) near-ultraviolet passband. These resonance lines are usually optically thick and have a wide range of formation height, from the mid to upper chromosphere (Leenaarts et al. 2013b). Thus these lines are good indicators of solar activities that have a large influence on the chromosphere, especially solar flares.

The thick-target model of solar flares suggests that the released energy in the solar corona would accelerate a large amount of non-thermal electrons. These electrons then propagate downwards along flare loops, and deposit their energy in the chromosphere through Coulomb collisions. The heating of the chromospheric plasma is strong enough that the local temperature reaches the coronal temperature. This process is defined as chromospheric evaporation (Fisher et al. 1985a), and the heated material usually expands upward into the corona as a consequence. Fisher et al. (1985b) noticed that there are two kinds of chromospheric evaporation. For weaker flares, the evaporation is gentle; while for strong flares the evaporation would become explosive. Explosive evaporation is always accompanied with a downward-moving compression wave. Behind this wave is a region with cooler and denser plasma compared with the adjacent chromospheric plasma. This region is referred to as the chromospheric condensation (Fisher et al. 1985c). In most situations, the condensation region moves downwards as a result of the compression wave above (Fisher et al. 1985c; Fisher 1989). The plasma motion that is connected to flare dynamics has long been observed and simulated through Doppler shifts or line asymmetries of various spectral lines (Ichimoto & Kurokawa 1984; Abbett & Hawley 1999; Brosius & Phillips 2004; Kuridze et al. 2015).

In solar flares, the observed Mg ii k line is greatly enhanced and broadened, but with very diverse shapes (Rubio da Costa & Kleint 2017; Panos et al. 2018). Usually, this line is redshifted or shows an asymmetric red component (Kerr et al. 2015; Rubio da Costa & Kleint 2017; Li et al. 2019). The red asymmetry of this line indicates downflows in the chromosphere, which possibly indicates chromospheric condensations (Li et al. 2019). However, despite the usual red asymmetry, this line could also show a blue-wing enhancement at the flare footpoints (Cheng et al. 2015; Kerr et al. 2015; Tei et al. 2018; Huang et al. 2019; Li et al. 2019). A straightforward explanation of the blue-wing enhancement would be plasma upflows, which result from the chromospheric evaporation (Cheng et al. 2015; Li et al. 2019). The simulations from Kerr et al. (2016) have confirmed that the blue-wing emissions are enhanced by upflows. Kerr et al. (2015) argued that besides the probability of upflows, such a blue asymmetry can also be due to absorptive plasma with a downward velocity. Tei et al. (2018) reported a similar profile shape in the Mg ii h line, but proposed a new scenario regarding the upflows. They thought that the upflows do not result from the chromospheric evaporation, but represent some cold plasma that is pushed upwards by the expansion of the hot plasma below. Huang et al. (2019) made the first trial to interpret such a blue asymmetry from the simulation results, and found an increase of electron density and velocity field in the Mg ii line formation region. However, it is still not very clear whether the proposed scenario is a feasible explanation. In particular, the questions as to what conditions are required for the origin of such an upflow, and how the line is formed during this process, need to be studied further.

In this paper, we use radiative hydrodynamic simulations to study the Mg ii k line in response to heating in a flare. We investigate the physical nature behind the appearance of the blue-wing enhancement and examine the relevant scenarios. The rest of the paper is organized as follows. We introduce our method in Section 2, and present the results in Section 3. In Section 4 we make discussions and draw our main conclusions.

2. Method

We use the 1D radiative hydrodynamics code RADYN (Carlsson & Stein 1992, 1995, 1997, 2002) to calculate the atmospheric response to a beam of non-thermal electrons injected at the loop top during a flare. RADYN solves the hydrodynamic equations in combination with the non-LTE radiative transfer equation and the population rate equation along a pre-defined loop structure. The loop has a quarter-circular shape with a 10 Mm length. The initial atmosphere is constructed by adding a corona to the VAL model (Vernazza et al. 1981) and then relaxing the whole atmosphere with a fixed temperature of 1 MK at the loop top and an artificial heating in the lower atmosphere to keep the temperature structure (Hong et al. 2017, 2018, 2019). Our pre-flare atmosphere is slightly different from the radiative equilibrium (RE) atmospheric models in Allred et al. (2015). The main difference is that in our model, there is a chromosphere at a height of around 1 Mm with increased temperature and electron density (Figure 1). The transition region is also higher in our model. The injected non-thermal electron beam is assumed to have a power-law distribution with a total energy flux F, a cut-off energy Ec and a spectral index δ. We use the Fokker–Planck approach that has been implemented in RADYN to calculate the heating rate from the non-thermal electron beam (Allred et al. 2015), but we did not include any return current. The upper boundary is set to be reflective to account for the symmetry of the flare loop. We have run a grid of flare simulations, and show their parameters in Table 1. We label each simulation in the form of fn1En2dn3, where the numbers n1 to n3 stand for the values of $\mathrm{log}{F}_{\mathrm{peak}}$, Ec and δ, respectively. In the first six models, the beam heating function rises linearly with time, while in the last two models, the heating stays constant.

Figure 1.

Figure 1. Height distribution of temperature and electron density of our VAL model and the radiative equilibrium (RE) model in Allred et al. (2015).

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Table 1.  List of Parameters of the Flare Models for Simulation

Label Fpeak (erg cm−2 s−1) Heating Function Total Duration (s) Ec (keV) Spectral Index
f10E20d4 1010 linear 10 20 4
f10E15d5 1010 linear 10 15 5
f10E10d6 1010 linear 10 10 6
f11E20d4 1011 linear 10 20 4
f11E15d5 1011 linear 10 15 5
f11E10d6 1011 linear 10 10 6
f9E20d7 109 constant 20 20 7
f10E20d7 1010 constant 20 20 7

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Similar to the Lyα line, the Mg ii resonance lines are greatly influenced by partial frequency redistribution (PRD; Kerr et al. 2019a). As RADYN assumes complete frequency redistribution (CRD) for all spectral lines, we use the RH code (Uitenbroek 2001; Pereira & Uitenbroek 2015) to take account of the PRD effect. We save the snapshots of the RADYN simulations every 0.1 s and feed the RADYN outputs into RH to calculate the Mg ii k line. We use a 10-level-plus-continuum Mg ii atom that is the same as in Leenaarts et al. (2013a). Nevertheless, RH solves the radiative transfer equation under the assumption of statistical equilibrium instead of non-equilibrium ionization, which can change the ionization fraction and lead to a different line formation height (Kerr et al. 2019c). In order to mitigate this effect, we adopt the values of the electron density and hydrogen density from RADYN that conform to the non-equilibrium ionization and fix them in RH calculations, as done in Rubio da Costa & Kleint (2017) and Kerr et al. (2019a). We do note that for those weaker flares in our simulations (the f9 and f10 models), there will be non-equilibrium effects in the main heating phase (Kerr et al. 2019c). However, for strong flares, the difference in the Mg ii resonance line profiles between statistical equilibrium and non-equilibrium ionization is smaller than the difference between PRD and CRD in the main heating phase (Kerr et al. 2019c).

3. Results

The time evolution of the Mg ii k line profiles of all the flare models are shown in Figure 2. One can see clearly that the k2 peaks are greatly enhanced when heating begins. The line profiles can show either a red asymmetry (a larger k2r peak) or a blue asymmetry (a larger k2v peak), as a result of the mass flows in the region where the line core is formed (Leenaarts et al. 2013b). The line profiles become more complicated when heating continues. In some models (e.g., models f11E20d4, f11E15d5, and f11E10d6), an intensity component appears in the red wing that corresponds to the chromospheric condensation. More interestingly, in three models (models f11E20d4, f9E20d7, and f10E20d7), an intensity component moves from the line core to the blue wing during the heating phase, showing a very obvious blue-wing enhancement in the line profiles. Below we describe these three models in detail.

Figure 2.

Figure 2. Time evolution of the Mg ii k line profiles in the eight flare models. The wavelength in each panel is in Doppler scale, with positive values for the blue wing and negative values for the red wing.

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3.1. Model f11E20d4

The most obvious blue-wing component in the Mg ii k line appears in the f11E20d4 model. We show the atmospheric structure and line formation for this model at 8.2 s in Figure 3. At this time, the atmosphere is experiencing an explosive chromospheric evaporation, with a velocity of 100 km s−1 and a temperature of 3 × 106 K at 1.8 Mm (Figures 3(a) and (b)). We notice that there appears to be two obvious condensation regions in the atmosphere, which seems a common result in the simulations (Kennedy et al. 2015; Hong et al. 2019). We show in Figure 4 how these condensation regions are formed. When the chromosphere gets heated continuously, the temperature rises and the first condensation region appears at a height of 1.6 Mm at 4.0 s. This region is cooler than the nearby regions and it moves downwards with a velocity of 40 km s−1. Then the second condensation region appears at a lower height of 1.4 Mm at 6.5 s. After that, the downward motion of the first condensation region (which is somewhere above the second one) is decelerated, and it eventually moves upwards, showing a C shape in the time–height diagram.

Figure 3.

Figure 3. Atmospheric structure and the Mg ii k line formation for the f11E20d4 model at 8.2 s. Dashed lines are for pre-flare values at 0.0 s. (a) Height distribution of the temperature (black) and the beam heating rate (brown). (b) Height distribution of the velocity, with a positive sign for upflows, and a negative sign for downflows. (c) and (d) Height distribution of the contribution function at the blue wing (Δν = 20 km s−1) and that at the line core (Δν = −5 km s−1). The red vertical line in each panel denotes the mean line formation height. (e) Height distribution of the number density at the lower (black) and upper (purple) levels of the Mg ii k line. (f) The synthetic profile of the Mg ii k line. The wavelength is in Doppler scale, with positive values for the blue wing and negative values for the red wing. Blue diamonds denote the synthetic profile degraded to IRIS resolution of 52 mÅ pixel−1.

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Figure 4.

Figure 4. Time–height plot of temperature (left) and vertical velocity (right) for the f11E20d4 model.

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A zoom-in of the upper condensation region at around 1.51 Mm is shown in Figure 5. As seen in Figure 3(a) and Figure 5(a), the local plasma in the two condensation regions is relatively cooler, and has a temperature of ∼2–3 × 104 K (Figure 5(a)). In between the two condensation regions, the plasma is still hot and over 106 K, thus experiencing an expansion there. This produces a nearly linear distribution of the velocity along height between the two condensation regions (Figure 5(b)). The lower condensation region has a downward velocity of −50 km s−1 and the upper condensation region has an upward velocity of 20 km s−1 (Figure 3(b)). The Mg ii density in the upper condensation region is about four orders of magnitude larger than in the nearby regions (Figures 3(e) and 5(d)). Thus, the opacity is significantly increased in the upper condensation region and a large fraction of the emergent intensity originates there.

Figure 5.

Figure 5. (a)–(d) Height distribution of temperature, velocity, contribution function at the blue wing (Δν = 20 km s−1), and Mg ii number density for the f11E20d4 model at 8.2 s. These are zoom-in plots of panels (a)–(c) and (e) in Figure 3, highlighting the region where the blue-wing enhancement is formed. (e) The synthetic profile of the Mg ii k line (black). The blue line represents the line intensity contributed by the region that is shaded in panels (a)–(d). (f) The percentage of line intensity contributed by the shaded region.

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The contribution function to the emergent intensity is defined as ${C}_{I}\equiv {dI}/{dz}={j}_{\nu }{{\rm{e}}}^{-{\tau }_{\nu }}$, if seen vertically, where jν is the emissivity and τν is the optical depth. We show the contribution function CI at two wavelengths in Figures 3(c) and (d). The mean formation height, defined as ${z}_{h}\,=\int {{zC}}_{I}{dz}/\int {C}_{I}{dz}$ (Leenaarts et al. 2012), is denoted with a red vertical line. This quantity can better evaluate in which region the line is formed compared with the height where τ = 1, especially when there are multiple peaks in the contribution function. It is very clear that the condensation regions have a large influence on the contribution function. In the quiet Sun, the blue wing at Δν = 20 km s−1 is usually formed in the lower chromosphere. In a flaring atmosphere, although there is still a large contribution from the lower chromosphere at a height of ∼0.9 Mm, the contribution from the upper condensation region at a height of ∼1.5 Mm is largely enhanced and the value of CI gets more than three orders of magnitude larger. As a result, the mean formation height is shifted to the upper chromosphere. In the line core, however, the contribution from the condensation regions is not very large. The line core is still formed in the mid-chromosphere as in the quiet Sun. We further integrate the contribution function CI over the layers between 1.50 and 1.52 Mm, which cover the whole upper condensation region (see the blue shades in Figures 5(a)–(d)). The integration results in a sole blue-wing component in the line profile (Figure 5(e)), which has a peak amounting to more than 80% of the emergent intensity at Δν = 20 km s−1 (Figure 5(f)). The emergent line profile, as shown in Figure 3(f), is then very interesting. Apart from the double-peaked line core, there are another two components located in the blue wing and the red wing, respectively. The blue-wing component is at Δν = 20 km s−1, which corresponds to the upflow in the upper condensation region, while the red-wing component is at Δν = −55 km s−1, which corresponds to the downflow in the lower condensation region (Figure 6). The red-wing component that originates from condensation downflows is a very common feature in flare simulations (Kerr et al. 2019a, 2019b).

Figure 6.

Figure 6. The background gray-scale shades show the contribution functions and source functions of the Mg ii k line for the three models. Brighter regions indicate a larger value. The yellow lines show the Mg ii k line profiles, and the cyan lines denote the vertical velocity.

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3.2. Model f9E20d7

We then show another case with an obvious blue-wing enhancement. Figures 7 and 8 show the atmospheric structure and line formation for model f9E20d7 at 8.8 s. At this time, the chromosphere has been continuously heated and the temperature has been raised to more than 104 K (Figure 7(a)). Heating of the chromosphere drives the hot chromospheric plasma to move upwards, which appears to be the scenario of gentle evaporation (Figure 7(b)). Allred et al. (2015) has already shown that when calculating the beam heating rate through the Fokker–Planck approach, the results would show a tail stretching to a larger height in the atmosphere if the spectral index of the beam spectrum is smaller. On the other hand, if the beam spectrum is very soft with a large spectral index, as is the case with model f9E20d7, the tail would quickly reach zero at a relatively low height and keeps the upper layers (from 1.70 Mm to 1.80 Mm) of the atmosphere nearly undisturbed, as can be seen from the beam heating profiles in Figures 7(a), 9(a), and 11, and the Figure 2(n) of Polito et al. (2018). We then focus on the upper chromosphere and find that the heated layers located below are pushing the unheated cool layers upwards, with a velocity of around 13 km s−1 at the boundary (Figure 8(b)). However, different from the previous model f11E20d4, we do not find any large spikes in the Mg ii density distribution in the upper chromosphere (Figures 7(e) and 8(d)). Since there is an upward velocity, the contribution function at the blue wing (Δν = 16 km s−1) in this region is four orders of magnitude larger than that in the nearby regions, and the formation height is also shifted to this region (Figures 7(c) and 8(c)). We again investigate the contribution to the line intensity of the evaporating plasma in the height range from 1.64 to 1.70 Mm (blue shades in Figure 8) and the cool region from 1.70 to 1.80 Mm (orange shades in Figure 8). We find that the blue-wing enhancement is solely due to the evaporation upflow, while the nearly undisturbed cool region above it only contributes to the line core intensity. The line profile then has an obvious blue-wing enhancement, just at the blue side of the k2v peak.

Figure 7.

Figure 7. Same as Figure 3, but for the f9E20d7 model at 8.8 s. Note that the contribution functions in panels (c) and (d) are for Δν = 16 km s−1 and Δν = 0 km s−1, respectively.

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Figure 8.

Figure 8. Same as Figure 5, but for the f9E20d7 model at 8.8 s. Note that the contribution function in panel (c) is for Δν = 16 km s−1. The blue and orange lines in panel (e) and areas in panel (f) represent the values and percentage of line intensity contributed by the region that is shaded in the same color in panels (a)–(d).

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3.3. Model f10E20d7

Model f10E20d7 has almost the same set of parameters as model f9E20d7, except for a larger electron beam flux. We show the atmospheric structure and line formation for this model at 3.0 s in Figures 9 and 10. In this case, the chromosphere is heated to a higher temperature due to the larger electron beam flux, yet the upper layers from 1.76 Mm to 1.80 Mm still remain nearly undisturbed. However, what is new is that a blob appears at the bottom of the cool region, which is formed as a result of energy imbalance. As shown in Figure 11, work done by pressure gradient and viscous heating supply much energy to this region since the plasma below is continuously moving upwards. As this energy cannot be radiated away promptly, the temperature of the blob is then slightly enhanced to ∼1–2 × 104 K (Figure 10(a)), but still much lower than that of the evaporating plasma below. The upward velocity reaches its maximum value of 25 km s−1 at the interface of the evaporating chromospheric plasma and the cool blob (Figure 10(b)). The density in the cool blob and the undisturbed cool layers above has increased to four orders of magnitude higher than that in the nearby regions (Figures 9(e) and 10(d)).

Figure 9.

Figure 9. Same as Figure 3, but for the f10E20d7 model at 3.0 s. Note that the contribution functions in panels (c) and (d) are for Δν = 25 km s−1 and Δν = 0 km s−1, respectively.

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Figure 10.

Figure 10. Same as Figure 5, but for the f10E20d7 model at 3.0 s. Note that the contribution function in panel (c) is for Δν = 25 km s−1. The blue, green, and orange lines in panel (e) and areas in panel (f) represent the values and percentage of line intensity contributed by the region that is shaded in the same color in panels (a)–(d).

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Figure 11.

Figure 11. Top row: Height distribution of different energy terms for the f10E20d7 model at 1.5 s, 2.0 s, and 3.0 s. Different terms in the energy equation are separated, including viscous heating (red dashed), work done by pressure gradient (red solid), radiative losses from thick lines (blue solid), thin radiative losses (blue dashed), thermal conduction (orange), background non-radiative heating (green), and electron beam heating (cyan). Bottom row: Height distribution of temperature for the same model as above.

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The cool blob dominates in the contribution to the blue-wing intensity (Figure 10(c)). The upper cool region, however, makes a great contribution to the line core intensity, although it is still one order of magnitude less than the contribution from the mid-chromosphere (Figure 9(d)). The formation height of the blue wing is again shifted upwards to the cool layers while the formation height of the line core remains unshifted (Figures 9(c) and (d)). The line profile has a blue-wing enhancement, but less obvious than in model f9E20d7 (Figure 9(f)). In Figures 10(e) and (f), we plot the contribution to the line intensity from the evaporating plasma (1.64–1.735 Mm, blue shades), the blob (1.735–1.76 Mm, green shades) and the upper cool region (1.76–1.80 Mm, orange shades). One can clearly see that the blob is mostly responsible for the blue-wing enhancement, while the evaporation upflow has nearly no contribution simply because the temperature there is too high.

4. Discussion and Conclusion

We have calculated the Mg ii k line for a grid of flare models subject to electron beam heating with different sets of beam parameters. We find that apart from the red-wing enhancement that frequently appears in observations as a result of chromospheric condensation, a blue-wing enhancement also appears in the heating phase of some models. Generally speaking, this spectral feature originates from an upflow in the upper chromosphere. However, the location for the upflow could be different in different flare models. It can be an upward-moving chromospheric condensation region (f11E20d4), a chromospheric evaporation region (f9E20d7) or an upward-moving blob pushed by the evaporation below (f10E20d7). In all cases, the upflows have a temperature of about ∼1–3 × 104 K, which is sensitive to the Mg ii k line. We would also like to point out that a condensation region does not necessarily move downwards (Kennedy et al. 2015), as is the case with f11E20d4.

Kerr et al. (2019a) have noted that the Mg ii k line-wing enhancement could be the result of the PRD effects, rather than real mass flows in the atmosphere. To check this possibility, we have carefully studied how the line profiles are formed in terms of the distributions of the source function and contribution function (Figure 6). We find that the distribution of the source function is greatly influenced by the local velocity rather than by the PRD effects, especially at the height where the contribution function is large. We then conclude that the blue-wing enhancement in our models is indeed caused by an upward motion of the chromospheric plasma, while the PRD effects play a minor role.

It is always a challenge to relate line-wing enhancements or line asymmetries to the absolute velocities of mass flows in the atmosphere, especially for optically thick lines. Previous studies of the Hα and the Lyα lines show that a blue asymmetry could be interpreted as condensation downflows (Kuridze et al. 2015; Brown et al. 2018; Hong et al. 2019). As for the Mg ii k line, Leenaarts et al. (2013b) showed that for the quiet Sun, a stronger blue peak implies downflows above the peak formation height. Kerr et al. (2016) found that in flares, the plasma flows could result in emission peaks that appear in the Mg ii k line wings. Similarly, in our results, the blue-wing enhancement in the Mg ii k line reflects upflows in the chromosphere, although our beam parameters are different from that in Kerr et al. (2016).

However, we find different scenarios for the origin of upflows that are responsible for the blue-wing enhancement. The result from model f9E20d7 shows that the chromospheric evaporation could contribute to the blue-wing enhancement, as long as the temperature there is not raised too much to exceed the formation temperature of the Mg ii k line (Li et al. 2019). On the other hand, a cool-upflow scenario has also been proposed by Tei et al. (2018) to interpret such a blue-wing enhancement in the Mg ii h line. Our simulations confirm that such a physical process is feasible if the electron beam penetrates relatively deep (with a relatively high cut-off energy), thus making the upper chromosphere less disturbed during the heating phase, as is the case with f9E20d7 and f10E20d7. In such cases, the blue-wing enhancement of the Mg ii k line mainly originates from the evaporating plasma or the upward-moving blob just below the cool region. The cool region itself has less contribution to the blue-wing enhancement, since its velocity is relatively small. In addition, we find a third scenario as shown in model f11E20d4, in which there appears to be two condensation regions in the atmosphere, and the upper one could move upwards after being pushed by the expanding plasma below, thus contributing to the blue-wing intensity of the Mg ii k line. In this case, a red-wing counterpart would appear in the line at the same time that corresponds to the lower condensation region with a downward velocity. At present, we lack observational evidence for this third scenario, although it has been tested in a number of 1D radiative hydrodynamic simulations.

Our grid of models also reveals the influence on the line profile shape of varying the flare heating parameters. In particular, the low energy cut-off of the electron beam seems to relate to the appearance of the blue-wing enhancement. A similar role is for the spectral index, which determines how the beam energy is deposited along height. In the case of a very soft beam, model f10E20d7, there is almost no heating above 1.6 Mm at 1.0 s, while in the case of a relatively hard beam, model f11E20d4, the heating profile has a tail that extends to 1.75 Mm at 1.0 s. The energy flux of the electron beam is of course an important parameter in describing the heating strength. Previous studies have confirmed that chromospheric condensation only appears when the beam flux is large enough, as revealed by the different results from models f10E20d4 and f11E20d4. In f10E20d4, there is no condensation region, and the whole Mg ii k line is formed below the height of 1.3 Mm.

In observations, the Mg ii k blue-wing enhancement only appears in some rare events, and the observed enhancement seems less strong than what is predicted in our simulations. Typical examples have shown only a blue-wing asymmetry in the line profile (Tei et al. 2018; Huang et al. 2019). We have degraded the synthetic line profiles to IRIS resolution of 52 mÅ pixel−1 (Figures 3(f), 7(f), and 9(f)), and find that the blue component are still visible, although the features in the line core are slightly smeared out. Such a discrepancy between the observed and simulated Mg ii k line profiles could be mitigated by adopting larger turbulent velocities. If we increase the microturbulent velocities in our models, the blue peak in the line would be smoothed out and shown as a blue asymmetry instead. In addition, an increased Stark broadening would also help remove the discrepancy significantly (Zhu et al. 2019).

We thank the referee for detailed and constructive suggestions that helped improve the paper. This work was supported by NSFC under grants 11903020, 11733003, 11873095, 11533005, and 11961131002, and NKBRSF under grant 2014CB744203. Y.L. is supported by CAS Pioneer Hundred Talents Program and XDA15052200, XDA15320301, and XDA15320103-03. Y.-H.Z. is supported by FWO-NSFC grant G0E9619N.

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10.3847/1538-4357/ab6d05