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Review

Stellar Flares, Superflares, and Coronal Mass Ejections—Entering the Big Data Era

1
Konkoly Observatory, HUN-REN Research Centre for Astronomy and Earth Sciences, 1121 Budapest, Hungary
2
Department for Astrophysics and Geophysics (AGP), Institute of Physics, University of Graz, 8010 Graz, Austria
3
Department of Astronomy, Eötvös University, 1117 Budapest, Hungary
4
RG Science, 8010 Graz, Austria
*
Author to whom correspondence should be addressed.
Universe 2024, 10(8), 313; https://doi.org/10.3390/universe10080313
Submission received: 31 May 2024 / Revised: 18 July 2024 / Accepted: 23 July 2024 / Published: 31 July 2024
(This article belongs to the Special Issue Solar and Stellar Activity: Exploring the Cosmic Nexus)

Abstract

:
Flares, sometimes accompanied by coronal mass ejections (CMEs), are the result of sudden changes in the magnetic field of stars with high energy release through magnetic reconnection, which can be observed across a wide range of the electromagnetic spectrum from radio waves to the optical range to X-rays. In our observational review, we attempt to collect some fundamental new results, which can largely be linked to the Big Data era that has arrived due to the expansion of space photometric observations over the last two decades. We list the different types of stars showing flare activity and their observation strategies and discuss how their main stellar properties relate to the characteristics of the flares (or even CMEs) they emit. Our goal is to focus, without claiming to be complete, on those results that may, in one way or another, challenge the “standard” flare model based on the solar paradigm.

1. Introduction

The effect of stellar activity on the surrounding extended astrospheres, i.e., the AU scale region, where planets may also orbit, has always been an exciting topic. We already know that stellar flares can greatly affect their environment, e.g., [1], just as solar activity and solar flares affect the Earth’s astroclimate. The famous Carrington event, the most intense documented geomagnetic storm, peaking 1–2 September 1859 during Solar Cycle 10 [2] resulted in intense auroral lights and reportedly caused sparks and, in a few cases, even fires in telegraph stations. According to Carrington [3], the event was associated with a highly energetic solar white-light flare. Nowadays, a geomagnetic storm of this magnitude could even lead to total chaos in the operation of satellite-supported electronic devices and systems. For this reason alone, it is important to understand what leads to these kinds of processes on the surface of the Sun. The mechanism behind flaring is thought to be magnetic reconnection, which is closely related to magnetic activity, including sunspots. The source of the magnetic activity is dynamo operations, which can be related to the interaction between the Sun’s convective envelope and its rotation. At the same time, we can also observe similar activity features (spots, flares, etc.) on other stars, the formation of which, we believe, requires similar conditions. By observing flare stars with different properties (temperature, rotation period, size, age, etc.) and comparing them with the Sun, we can get a more comprehensive picture not only of the underlying physics but also of the solar flares themselves, together with associated phenomena such as the coronal mass ejections (CMEs) which, for example, caused the intense geomagnetic storm during the Carrington event. Therefore, in this review paper, we attempt to summarize all the knowledge we have gathered in the past few years on observing different types of flare stars.
Flares are typically characterized by their peak flux or their energy. In the case of the Sun, the classification (A, B, C, M, or X) is based on the peak flux in soft X-rays as measured by GOES satellites. The energy released by solar flares can vary over several magnitudes, roughly 1027–1032 ergs [4]. However, in the case of stellar flares, there is no such elaborate classification. The distinction between flares and superflares is not made on a physical basis, but it is merely a matter of terminology. In general, flares with radiative energy of ∼1033 erg or more are labeled with the prefix “super” (see, e.g., Shibata et al. [5]), so in our paper, we follow this custom in the nomenclature as well. In this sense, the most intense solar flare of ∼X45 class recorded to date, associated with the Carrington event, with its estimated energy of ∼5 × 1032 erg [6] was still below the “super” category.
In the most common solar flare model (e.g., Kopp and Pneuman [7]), the magnetic energy release is induced by the reconnection of the magnetic field lines. There are a few known possible mechanisms capable of inducing reconnection. One of these possible mechanisms is flux emergence [8], where the interaction between separate magnetic structures can trigger magnetic reconnection. Feynman and Martin [9] has proven this hypothesis by observing filaments releasing energy and mass (and hence, resulting in flares accompanied by coronal mass ejections) after the destabilization of their magnetic structure by another rising magnetic flux bundle. Another possible mechanism is the “kink instability” proposed by Tanaka [10]. In this case, the emerging flux bundle is already twisted and kinked, and further twisting induces reconnection and energy release. Solar flares are known to be accompanied by several physical processes in the corona. Kopp and Pneuman [7] proposed that rising loop prominence systems quite frequently seen after solar flares and other coronal transients are the results of magnetic field reconnection as well. With the magnetic field lines opening up, the solar wind carries mass to the prominence system, where it is captured by the closing lines during reconnection. Modern textbooks (e.g., Forbes [11] or Priest [12]) on the topic refines the picture of the “standard solar flare model” further with several previously observed processes. Reconnection accelerates particles along the magnetic field lines, heating the chromosphere at the footpoints of the magnetic loop and evaporating plasma into the corona. The process can be observed in a wide range of the electromagnetic spectrum from radio to ultraviolet radiation to soft and hard X-rays, resulting in observables, e.g., fast evaporation upflows, hard X-ray source regions, or X-ray loops caused by the bremsstrahlung of fast electrons captured by the magnetic field. Ruan et al. [13] provided a model that connected multi-dimensional MHD description of the plasma with an analytic fast electron treatment, describing these phenomena.
For now, it appears that flares observed in a wide range of late-type stars are manifestations of the same mechanism, that is, stellar flares are believed to originate from magnetic reconnection which, first of all, presumes an underlying magnetic dynamo. In this regard, therefore, we expect that the more magnetic energy a star can accumulate, the more energetic flares will be produced. This scaling idea came up several times, not so long ago, e.g., in the paper by Balona [14], who studied Kepler flare stars of different luminosity classes and found that higher luminosity class stars generally have higher energy flares. This correlation with radius—possibly connected with a correlation with the typical magnetic field associated with the flares—was explained by the typical flare loop length-scales increasing with the stellar radius. This is further supported by the finding of He et al. [15], who concluded that both magnetic feature activity and flare activity are influenced by the same source of magnetic energy (i.e., the magnetic dynamo), similar to the solar case (see [16]). In accordance with these, a common dynamo scaling in all late-type stars was proposed recently by Lehtinen et al. [17]. Moreover, this scaling idea can also be reconciled with the so-called “avalanche models” of solar flares, which regard flares as avalanches of many small reconnection events (for a detailed review see [18]). This statistical framework could consistently be extended to provide a common base for solar flares to stellar flares to superflares over many orders of magnitude in energy (cf. the conclusion in [19]).
On the Sun, an energetic activity phenomenon is often closely related to flares, namely coronal mass ejections (CMEs): these are magnetized plasma clouds expelled into the heliosphere. In many cases, an erupting filament/prominence represents the early evolutionary stage of a CME. Filaments and prominences are the same phenomena seen either against the solar disk as dark elongated features (filaments) or seen on the solar limb as a bright arching structure (prominences). Filaments/prominences are magnetic loops that are filled with cool chromospheric plasma located at a mean height of ∼25 Mm [20]. The principle picture of a filament/prominence eruption is closely related to the standard flare model of a two-ribbon flare [21]—here, the magnetic field lines forming a loop are anchored to the solar photosphere through their footpoints. As the photosphere is not a static medium, its plasma motion can lead to footpoint motions, bringing the magnetic field lines of the loop close together and thereby possibly forming a reconnection region, yielding the conditions for an erupting flare event. If the magnetic loop above the reconnection region confines solar plasma, this can be ejected from the Sun if the above-lying magnetic field opens up, e.g., by a reconnection of the magnetic field lines. Such a filament/prominence eruption propagates further through the corona, drags coronal material with it, and forms a CME with its typical three-part structure: the core, the cavity, and the leading edge. In images of the large-angle spectroscopic coronagraphs (LASCOs), this structure can be seen very well (see Figure 1).
CMEs are closely connected to flares as they share a similar generation mechanism. For the energetic so-called X-class flares (GOES classification scheme), the association rate of flares and CMEs on the Sun reaches unity [22], or in other words, every X-class flare has an accompanying CME. However, recent observations revealed a large active region that produced several X-class flares without CMEs, e.g., [23]. This led to the hypothesis that the flare–CME association rate is both a function of flare magnitude and the magnetic flux of the active region [24]. The stronger the magnetic field, the stronger the flare needs to be to erupt. This aspect of the flare–CME association rate considers magnetic confinement, which is believed to be one of the reasons (besides observational reasons; that is, the lack of spatial resolution, the sensitivity of the instrument, etc.) why, on stars, so few signatures of CMEs or erupting filaments/prominences have been found so far.
CMEs have several other accompanying phenomena, which are important tools to be used to search for CMEs on stars, such as radio bursts and coronal dimmings. Type II radio bursts (slowly drifting herring-bone-like structures, as seen in dynamic spectra) are the signature of a shock wave driven by CMEs and produced by electrons that are accelerated at the shock front. Type IV bursts are characterized by an outward-moving continuum source that is often preceded by a Type II burst in association with a coronal mass ejection (CME). Type IV bursts have been classified into stationary and moving categories with the moving component attributed to energetic electrons trapped in the CME, emitting plasma emission, gyrosynchrotron or synchrotron, or sometimes electron cyclotron maser emission (see the review of Carley et al. [25]). CMEs are also frequently accompanied by coronal dimmings [26]. Coronal dimmings are evacuated regions in the corona, obvious in extreme ultraviolet (EUV) and soft X-ray images of the Sun (e.g., Yohkoh or SDO), seen during/after CMEs.
On stars, other methods have been established to identify CMEs. For instance, continuous X-ray absorptions in flares were interpreted as stellar CME plasma temporarily obscuring the flaring region [27]. Another method that does not rely on the solar–stellar analogy and which is a more direct measure of plasma being ejected from a star is the Doppler-shifted emission/absorption in spectral lines caused by moving plasma, e.g., [28,29,30,31,32]. All of these methods have been applied to stellar observations and have their advantages and drawbacks. In Section 7, we discuss in more detail the observational and modeling aspects of stellar CMEs (for further reviews on stellar CMEs, see also [27,33,34,35]).
Our Figure 2 shows the distribution of different types of stars, showing flares/CMEs on the Hertzsprung–Russell diagram (HRD). This shows that the flaring stars are mainly of G–K–M spectral type. These stars have a deep convective zone in which the dynamo effect can generate a strong magnetic field on both the main sequence (MS) and in evolved stars (cf. [17]). At the same time, moving towards the earlier spectral types, i.e., F and A on the main sequence, the convective zone gradually thins, so we would expect fewer flares due to the weakening magnetic field, if at all. That is why the finding in Balona [36], according to which large energetic flares were also found on A-type stars in the Kepler field, seemed very surprising. However, a closer look at these supposedly flaring A-stars revealed that there are possible alternative explanations for ≈60% of these targets (e.g., unresolved cool companions), while the remaining ≈40% of the observed targets in question are not really convincing to support the hypothesis of flaring A-type stars [37].

2. Flare Detection in Space-Borne Photometry

With the long, uninterrupted photometric monitoring of a sizable portion of the sky provided by the Kepler and TESS satellites, the study of stellar flares has entered the Big Data era. With the vast amount of light curves available, the identification of stellar flares is no longer a trivial task. There are several approaches to detecting flares in light curves besides the obvious, manual method. These methods are often based on smoothing the light curve and detecting the outliers [43,44], or other outlier detection methods [45], but recently there have also been flare-detection methods available that are based on different neural network architectures [46,47]. The main challenge of flare detection is the trade-off between high completeness and low false alarm rate, as a large variety of astrophysical and instrumental phenomena can mimic the appearance of flares, while real flares have amplitudes and durations ranging orders of magnitudes.
The typical time scale of flare events is a few minutes to a few hours, but in some cases, even day-long events have been reported [48,49]. The light curve shape of a typical, single peaked flare is well described by a short rise, and a more gradual, exponential decay phase [50,51]. However, many flares show more complex light curves, especially when observed with higher cadence [52], including multiple peaks, bumps, or quasi-periodic oscillations.

3. Superflares on Solar-like Stars

Large flares on the Sun and solar-like stars are particularly interesting to researchers due to their potential impact on both astrophysics and space weather. We know that solar flares follow a power-law distribution (see [53] and references therein). The largest recent flare was the Carrington event in 1859, with an estimated energy in the order of ≈1032 erg, which was orders of magnitudes smaller than the largest events observed on other stars, mainly rapidly rotating M dwarfs—but is it possible that there were larger events on the Sun in the past? There are documented events from East Asia in 1770 describing low-latitude aurorae—manifestations of magnetic storms [54]. One of the most interesting such reports is a description of two sunspots seen in 1128 from Worcester, England, sightings of which coincided with the appearance of the aurora 5 days later in Korea [55]. Longer-term increases in solar activity can be traced using the variation of traces of 14C in tree rings, e.g., [56,57,58], or 10Be in ice cores [59], which show increased concentrations in the years 774/5 and 993/4. In these cases, however, the exact origin of the high-energy particles can not be narrowed down to the Sun, but if solar flares cause these, their estimated energy was at least five times stronger than any instrumentally recorded solar event.
Given the limited amount of precise historical solar observations, we need another approach to find out if superflares can occur on the Sun—a good proxy could be observing a large number of solar-like stars, e.g., using the light curves of the Kepler space observatory. The Kepler light curves provide a database of approximately four-year-long light curves of ≈80,000 solar-like stars, including more than 2000 superflares on more than 250 G-type dwarfs; cf. Figure 2 and see also [40,60,61]. Their energy distribution proved to be similar to solar flares following a d N / d E E α distribution with α 2 . The physical reason behind the higher superflare rates is not clear yet, but their occurrence rate was higher on faster-rotating stars (i.e., on younger stars). At the same time, the proposed connection of flaring and hot Jupiters was not confirmed. The studies of the Kepler light curves of solar-like stars concluded that the Sun could have a superflare with an energy of 7 × 10 33 erg (∼X700 class) once every 3000 years and 1 × 10 34 erg (∼X1000 class) once every 6000 years [61]. Karoff et al. [62] reached a similar conclusion based on LAMOST spectroscopic data.

4. Flares and Superflares of Cool Dwarf Stars

Flares on low-mass stars have been extensively studied, beginning with the early works of Gershberg [63] and Lacy et al. [64], which presented the energy distribution of flares resulting from the extended ground-based photometric monitoring of several targets, showing that flares occur more frequently but with lower energy on mid-M dwarfs (M3–M5) compared to earlier-type (M0–M2) stars. Shakhovskaia [65], however, argued that the flare energy distribution depends more on the age of the star than its mass.
A volume-limited (20 pc) survey of M–L dwarfs Schmidt et al. [66] suggested that 78% and 23% of M and L dwarfs show chromospheric activity, respectively, with the activity level peaking around M7 and declining through mid-L objects. The flare duty cycle (i.e., the time ratio the star spends with flaring) was estimated to be around 5% for late-M dwarfs and 2% for L dwarfs.
The advent of space photometry opened up a new horizon to study flares with the huge databases of the Kepler and TESS observatories: one of the first such studies was by Hawley et al. [67], who selected the most active and brightest late-type single M dwarfs in the Kepler field and concluded that a power law well fits the energy distribution of flares with energies E > 10 31 erg, but with a steeper power-law slope compared to those found from ground-based data, suggesting that the energy distribution of flares may approach α = 2 ( α describing the slope), implicating coronal heating. Furthermore, they found that the flare amplitude, duration, and energy are all strongly correlated: high-energy flares typically have both long duration and high amplitude, and complex flares (having more than one peak) have longer duration and higher energy at the same amplitude. In a follow-up study, Davenport et al. [50] studied the most active star from the Kepler sample, GJ 1243, and generated an analytical flare template consisting of two exponential cooling phases that are present during the white-light flare decay. The template describes the most simple flare shapes and has been widely used since then by the scientific community. Recently, using the light curves of the Kepler and TESS satellites combined with the LAMOST low- and medium-resolution spectral survey Zhang et al. [68,69] confirmed the increase in the fraction of flaring stars with spectral types from F to M type. They also found a positive correlation between the flare energy and chromospheric activity indicators.
For most stars, the cumulative distribution of flare energies—the flare frequency distribution (FFD)—is a simple power law. Due to observational constraints, this power law is limited to a given energy range. In the low-energy part of the FFD, flares become increasingly harder to detect in the presence of photometric noise, making the observed histogram incomplete. The level of incompleteness can be estimated for a given dataset using injection-recovery tests (see, e.g., [19,70,71]). On the other hand, flares with higher energies become increasingly rare, making the high-energy end of the FFD noisy. In some cases, the FFD shows a broken power law behavior (see Figure 3). According to Mullan and Paudel [72], this occurs at a critical flare energy E f c , where the size of the flaring loop exceeds the local scale height. However, E f c depends on local densities and local field strengths, thus it varies from star to star. This also suggests that the breakpoint for a given star is not necessarily in the observed range of flare energies, so we do not see this behavior in the flare energy distribution for all stars. Observational constraints, such as the fact that lower-energy flares are increasingly difficult to detect, inherently delimit the observable energy range, and E f may fall outside this range. FFDs can also show an asymptotic behavior towards the higher energy regime. This could either mean that there is maximal energy released by a flare on a particular star, or this can be an observing bias due to the rarity of these highly energetic flares. Nevertheless, this may also affect the shape and bimodality of these FFDs and limit the observed energy range—currently, it is not clear if this break in the FFD is merely an observational effect or has a physical background.
A study of 2 min cadence TESS light curves of almost 25,000 stars identified more than 1200 flaring stars with half of them being M-dwarfs with events having a bolometric energy range of ≈ 10 31 10 37 erg [70]. Fast-rotating M-dwarfs were most likely to show flares, but the flare amplitude was found to be independent of the rotation period of the stars. From a larger sample of 330,000 stars and 39 TESS sectors, a similar conclusion was drawn: flare energies ranged 10 31 10 36 erg, and 7.7% of the total sample showed flaring activity. Flares detected on cool stars were found to have, on average, higher amplitudes due to the greater contrast between the flares and the star’s surfaces [74].
The flaring ratio was more than 50% among the M-dwarfs, confirming previous findings of, e.g., Günther et al. [70], although it is worth mentioning that the sample of stars having a 2 min cadence light curve is not random and introduces a sampling bias, given that only those targets will have short-cadence light curves that were included in an observing proposal for some reason. Similarly, Yang et al. [75] find that the proportion of flaring stars increases from M0 to M5, and decreases from M5 to M7.
Even though their quiescent luminosity is approximately two orders of magnitudes lower than the luminosity of solar-like stars, late-type stars are known to show superflares as well. Some of the prominent examples were found on the dM3-type AD Leo ( 10 34 erg in U and B bands [76,77]), the dM4-type 2MASS J00453912+4140395 ( 10 35 erg in B and V bands) [78]), the exoplanet-hosting F-type TOI 837 ( 10 34 erg in TESS passband) [79] or the dM0+dM5 binary V405 and ( 10 35 erg in B , V , R , I bands).
An analysis of 402 stars [80] with spectral types ranging from late-F to mid-M concluded that the strongest flares do not appear to be correlated with the largest starspot group present, but are also not uniformly distributed in phase with respect to the starspot group. The weaker flares, however, do show an increased occurrence close to the starspot groups. A similar result was found in the case of Kepler-411, where the timing of flares and superflares were correlated with spot locations derived from planetary transit mapping [81]. One explanation for this phenomenon could be that on stars with stronger magnetic fields, reconnections among different large active nests are more frequent—unlike on our Sun, where flares are detected, mainly in bipolar regions, with stronger flares occurring preferably in regions with higher complexity [82]. Alternatively, it is possible that the strongest flares can be observed not only when the flaring regions are located on the hemisphere facing us, but also over the stellar limb, or the largest flares could be associated with polar spots that are visible regardless of the rotational phase. A study of periodic flaring in TESS data found only significant periodicity in only a few percent of the studied sample, and these periods seemed to be connected to the rotation period only in some cases [83]. However, flaring could be still connected to spots and still not show periodicity if the flaring is preferentially polar, as in the case of CM Dra—this could have positive implications for the habitability of planets orbiting M dwarfs [84].
While the flaring rate on our Sun is known to be correlated with the activity cycles, there is only incidental evidence for that in the case of stars, mainly due to the lack of continuous observational data—ground-based observations are typically too sparse, and space-borne observations lack the time base needed: even the Kepler observatory with its ≈4 year-long datasets is shorter than most stellar activity cycles. Nonetheless, there are some indications that there could be a similar connection on other stars: on EV Lac Mavridis and Avgoloupis [85] found anticorrelations between the quiescent luminosity level of the star and flaring activity during 1972–1981, and a similar indication was found later from fast-photometric observations during 1996–1999 [86,87]. A cyclic variation in flaring activity was also observed in two Pleiades members, but in this case, this was not connected to other detection of activity cycles [88]. The method was also proposed as a possibility for finding activity cycles in Kepler/TESS data; however, in the case of GJ1243, the constant spot- and flare activity revealed no sign of activity cycles over the studied ten years of data [89].
Kepler data of G-, K-, and M-type stars showed that superflares (with E > 10 34 erg) are more common in cooler stars—as they are more active, they have a higher number of high-energy flares in a given time compared to hotter stars, even though the latter group typically shows stronger flares—and fast-rotating stars have both higher spottedness and higher (super)flare rates [90]. However, while fast rotation is associated with higher activity—the flaring activity drastically increases for stars with P rot < 10 days—the highest flare rates are not found among the fastest rotators and the largest flares were not found on the most flaring M-type stars [91]. The superflare frequency ( E 5 × 10 34 erg in this latter study) for the fast-rotating M stars was shown to be twice higher than for solar-like stars in the same period range. The slope of the flare energy distribution was consistent with solar-like stars ( α = 1.84 ).
Ultracool dwarfs are the lowest mass objects on the main sequence, with spectral types M7 or later. Some ultracool dwarfs are known to show (super)flares with energies up to 10 33 erg, with an energy distribution similar to solar-like stars, i.e., with a power-law slope of α = 1.8 [92,93]. Different authors have reached the same conclusion, that although ultracool dwarfs—favored targets for habitability studies—flare less frequently than earlier M dwarfs, the slopes of their FFDs are similar [94,95]. Among ultracool dwarfs, one notable object is TRAPPIST-1, an M8 star that hosts seven rocky exoplanets. Its flaring behavior was studied with Kepler K2 [1,96], the ground-based Evryscope array [97], and even with the James Webb Space Telescope [98]. Using TESS light curves of stars similar to TRAPPIST-1 in color and absolute magnitude, the flaring activity of TRAPPIST-1 appears to be typical for its spectral type [99].

5. Flares on Giant Stars

The flaring activity of giant stars is known from the beginnings of systematically studying stellar activity, but their observed (few) flares were mostly detected in X-rays. The reason for this originates partly from the fact that, due to their fast evolution, there are much less active giant stars compared to their main sequence counterparts. Observationally, in the visible spectral regions, flares are not easy to detect above the higher background brightness of the giant stars; see Figure 4 for an example. With the exception of the Earth’s polar regions (see [100]) continuous monitoring of stars is impossible from the ground, and the limited signal-to-noise ratio puts another limit on detection. However, space photometry overtook these two factors with high precision continuous monitoring of stars from weeks (TESS) to years (Kepler). So, the systematic search for flares included giant stars as well in some attempts. Another feature, oscillation, is widespread among red giants, and their amplitudes are in the range of the smaller amplitude flares. Therefore, a less attentive examination of the search result could give rise to many false positive flares on giants and, consequently, higher flare incidence than the reality. This question is thoroughly investigated by Oláh et al. [101].
In the Kepler field, the incidence of flaring stars is about 0.3% of the giant population, see [101], this means that altogether, there are 61 giant stars (with log g 3.5 ). The number of oscillating red giants, on the other hand, is about ten times higher. Oscillations and flaring may appear together, and eight such cases are listed in Oláh et al. [101]. We note that the magnetic activity may suppress the oscillations on the giant stars in close binaries as is discussed by Gaulme et al. [102], see also Section 6.
The shapes of the flares on giant stars are similar to the ones observed on the dwarfs, while their energies cover the range of about a few times 10 32 10 38 ergs in the Kepler bandpass, are shown by Oláh et al. [41] see their Figures 5 and 6, that is, they release more energy than the most energetic solar flares. As is also shown in the cited paper, the relation between the energy and duration of the flares on giants seems to be not linear as is generally thought in the case of main sequence stars [103]. Instead, a dependence on surface gravity is suggested for the scaling law of the energy–duration relation of Oláh et al. [41] (Figure 5).

6. Flares in Binary Systems

In the case of close binaries (e.g., BY Dra or RS CVn type systems), the role of binarity in the stellar activity, and thus in the formation of flares, cannot be ignored in any way. Tidal forces in close binaries are known to affect magnetic activity in several ways. The first and most important effect is the maintenance of rapid rotation for a longer time than for single stars during stellar evolution, which is known to be one of the key elements of magnetic activity at higher levels. The synchronicity in close binaries counteracts magnetic braking, which otherwise effectively slows down the rotation of single stars. On the other hand, the rotation of the star also slows down during stellar evolution (i.e., when turning off the main sequence to become a red giant), but synchronicity also works against this. The “long-period” group of RS CVn binaries typically consists of systems with such evolved but still rapidly rotating (sub)giant components.
The difficulties of observing flares on active giants have already been mentioned in Section 5. A significant advance was the rise of space photometry, which was able to prove that flares are also common on red giant stars; see Section 5 in this paper. In a recent study, Oláh et al. [101] found that the majority of flaring red giants in the Kepler database likely belong to close binary systems. Hence, the presence of flares on a fast rotating ( P rot < 50 d) red giant star may be a further indication that the star is a member of a close binary system, as suggested by Gehan et al. [104]. In the following, through some examples, we focus on those cases that can be specifically associated with the close binary nature.
Based on the paradigm of the dynamo mechanism, we expect the increased activity on such stars to result in a stronger magnetic field, that is, more spots and therefore, a higher rate of flare activity as well. The connection between spot activity and the frequency (or total energy) of flaring is well exemplified by the finding of Kővári et al. [19], according to which there is a clear correlation between the amplitude of the rotational brightness variability and the overall energy release by flares; see Figure 6 and Figure 7. According to this result, the rotation amplitude of KIC 2852961 as an indicator of the level of magnetic activity is changing together with the overall magnetic energy released by flares within the same period. This result tells us that larger active regions on the stellar surface produce more and/or higher energy flares; meanwhile, when there are fewer and/or smaller active regions, the flare activity decreases as well.
One of the most remarkable manifestations of the effect of binarity on activity is the appearance of active longitudes (i.e., spot concentrations) on one or both components of the system at certain phases bound to the orbit (e.g., [105]). Active longitudes require breaking the axial symmetry. This can be explained by the fact that non-axisymmetric dynamo modes are expected to develop due to tidal effects in the binary system [106]. Another condition for the excitation of stable, non-axisymmetric fields is that the differential rotation is not too strong [107]. We note that in the case of close binaries, this condition is usually given because in such systems the differential rotation is confined anyway due to tidal forces [108].
Although it is essentially impossible to infer the stellar surface position of the flares based on photometric time series, we can make estimates of their longitudes. First of all, we can assume that the source of a given flare is an active (spotted) region currently present on the visible hemisphere of the star see, e.g., [109]. Secondly, we can also assume that the rotation phase of a given flare event corresponds statistically to the longitudinal coordinate of the source active region. With the appearance of active longitudes, and according to the correlation between active regions and flares, it follows that in such cases, the distribution of flares along the rotational phase is not uniform. We present such an example in Figure 8, which indeed shows a non-uniform phase distribution of the flares of the active close binary EI Eri, a synchronized system of an active G5 subgiant and a faint M dwarf, based on TESS observations [73]. In this case, it seems that the position(s) of the active flaring region(s) are related in some way to the orbit, meaning that the close companion influences the magnetic-flux emergence, ultimately, the occurrence of flares on the G5IV star [110,111].
At this moment, it is not yet clear to what extent the overall flare occurrence depends on the tidal force of the companion, and to what extent it is influenced by other circumstances such as orbital eccentricity, (a)synchronism, the strength of the differential rotation, mutual activity, or, for instance, interbinary magnetic coupling, etc. The case of V471 Tau is an example of how complex the problem could be. The close binary system of 0.52 d orbital period is formed by an active K5 dwarf and a white dwarf. The synchronously rotating K5V star has a permanent active region that has been observed for many years; a dominant cool spot that is mostly present at longitudes facing the white dwarf (see [112] and their references). Despite having this permanent active longitude, the phase distribution of the flare observations shown in Figure 9 does not seem to show any remarkable asymmetry. Moreover, even based on the latest TESS data, it does not seem as if there is any kind of phase dependence. However, a possible explanation for this could be, on the one hand, a purely geometric effect, according to which the permanent active region also extends to the pole, so it is mostly visible continuously. Another possibility is that the distribution of spots (activity nests, i.e., sources of flares) along the rotation is roughly uniform, but this is in contrast to the observational fact of the permanent active region facing the white dwarf. Nevertheless, there are other observations that show phase independence of flare occurrence, e.g., [113]. In order to learn more thoroughly to what extent the phase distribution of flares is influenced by a nearby companion star, it is obviously necessary to examine additional systems. We note, that planetary systems may also influence the activity of stars, as is suggested in the case of the Sun, where activity cycles were suggested to be influenced by planetary motions (see, e.g., the works of Tan and Cheng [114], Stefani et al. [115]).
A special group of active binaries are those close binaries whose components are magnetically active, so that their magnetospheres can interact directly with each other. In such cases, the rotation and orbital motion of the stars can lead to a very slow overall winding of the coupled magnetic fields, allowing a gradual accumulation of magnetic energy that can eventually be released as an “interbinary flare” through instability [116]. In the case of the RS CVn-type system UX Ari (G5V+K0IV), something similar presumably happened when the corotating, giant magnetic loops present on both stars interacted and flux tubes temporarily connected the two stars [117]. Furthermore, such connecting flux loops can pave the way for mass transfer between the two stellar components see, e.g., [118], which can even be observed in the form of orbital period changes (cf., [119]). Traces of this process have been observed in many cases, see the paper by Hall and Kreiner [120], which lists several such binaries.
An interesting scenario is represented by the case of DQ Tau, a double-lined spectroscopic binary consisting of two ∼0.65 M mass pre-main sequence stars on an eccentric orbit [121]. The stars are therefore not constantly close enough to each other, however, at periastron encounters, the magnetospheres of the components collide and trigger each other, resulting in magnetic reconnection and recurring flares in these orbital phases [122].
Close but detached binaries in which the coronae of the components permanently overlap each other deserve special attention. The presence of such interbinary coupling in the form of large coronal loops, comparable in size to the binary separation, is supported by the enhanced X-ray emission of a significant proportion of RS CVn-type binaries, e.g., [123,124,125]. It is still not completely clear what the role of these interbinary magnetic fields is in the flare activity. However, it is very likely that these fields are not only responsible for the total quiescent X-ray luminosity but may also be the source of energetic bursts. The coronal connection can indeed build complex magnetic topologies, thus enabling the occurrence of X-ray flares, as suggested in their recent study by Singh and Pandey [126].
Finally, special mention should be made of the cases where the closely interacting object is a substellar object, e.g., a hot Jupiter. In such systems, similarly to star–star systems, the planetary companion also acts on the star, although to a lesser magnitude. Therefore, planet-triggered flares are expected to correlate with the planet’s orbital period. Such a possible clustering of stellar flares along the orbital phases of the planets was investigated by Ilin et al. [127] based on Kepler and TESS time series. In this tentative study, both tidal and magnetic interactions were considered, and magnetic interaction was found to be more dominant in younger systems, while tidal interaction was more dominant in older ones. Among the 25 systems examined in detail (including TRAPPIST-1, AU Mic, Proxima Cen etc.), a young, hot Jupiter host system, HIP 67522, showed the most prominent clustering of flares along the orbital phase, consistent with a remarkable magnetic star–planet interaction, with tidal interaction being less dominant. In accordance with the case of HIP 67522, the magnetic interaction is expected to be the most significant when the planet is deeply embedded in the sub-Alfvénic zone of the host-star, i.e., within the Alfvén radius, at which the stellar wind velocity exceeds the Alfvén velocity of the magnetized plasma. Within this region, a close-in planet can have a significant effect on the structure of the stellar corona, and the resulting magnetic interaction can even generate flare events [128,129,130].

7. Stellar CMEs

As mentioned in the introduction, there are several methods to detect stellar CMEs. In principle, they can be distinguished into methods that are based on the solar–stellar analogy, such as radio bursts and coronal dimmings, into direct methods, such as the Doppler shifted emission/absorption, and other indirect methods, such as continuous X-ray absorption.
The Doppler-shifted emission/absorption is a direct signature of plasma moving away from a star. This Doppler-shifted emission/absorption in optical spectra is a signature of an erupting prominence/filament on the Sun. Already, Den and Kornienko [131] and Ding et al. [132] have shown that erupting filaments can be recognized in H α spectra as absorption features. A spatially integrated H α spectrum of an erupting filament is shown in Ichimoto et al. [133]. Only recently, the Sun-as-a-star signature of erupting filaments has been investigated further using data from SMART/SDDI [134,135,136] and Mees MCCD [137], showing spatially integrated H α signatures of selected erupting filaments and prominences, surges, and flare-related plasma motions.
On stars, a Doppler-shifted emission signature has been interpreted for the first time as a mass ejection in Houdebine et al. [28], when a sequence of broad extra emissions occurring on the blue side of the H γ line at the onset of a strong flare was found on AD Leo. This is still the fastest event ever detected using the method of Doppler-shifted emission/absorption, with a projected bulk velocity of ∼3000 km s−1 [33]. The related mass was estimated to be in the order of 10 18 g. Another event was then presented by Guenther and Emerson [138] on an M-type weak-line T-Tauri star, showing a projected bulk velocity of ∼600 km s−1 and a prominence mass in the order of 10 18 10 19 g. Both the Houdebine et al. [28] and Guenther and Emerson [138] events were certainly events which left the star, as both were above the stars’ escape velocities. A 250 km s−1 emission event was detected on the dM star AT Mic [139] but interpreted by the authors as an evaporation event, not as a prominence eruption. A fast (∼400 km s−1) and more complex event was presented in Vida et al. [30] on V374 Peg, an active dMe star (Figure 10), with a mass in the order of 1016 g. Up to then, only emission features on predominantly dM stars have been presented in the literature. Şenavcı et al. [140] presents activity investigations of the RS CVn, eclipsing binary SV Cam (F9V+K4V) and finds excess absorption near the secondary minimum, which the authors interpret as cool plasma (filaments/prominences) obscuring the primary component. Then, Namekata et al. [32] present the first detection of an absorption signature on a solar analog occurring in the blue wing of H α on the solar analog EK Dra, a nearby star that resembles the young Sun at an age of ∼100 Myr. The presented Doppler-shifted absorption shows a maximum bulk velocity of ∼510 km s−1 and a mass of ∼1018 g. The event also involves back-falling material, which is also observed on the Sun for many erupting filaments. Complementary, the final evolution of this event is presented in Leitzinger et al. [141], revealing that the back-falling filament reaches zero velocity until it dissolves. Later, erupting prominences have also been reported on EK Dra [142], where the maximal projected bulk velocity is close to the escape velocity of the star. There are coordinated X-ray observations of one of these optical events, revealing a possible post-flare dimming.
There are many more investigations that report on rather slow blue- or red-wing asymmetries found in optical spectroscopic observations of late-type stars which can be only suspected to be erupting events. Such events have been detected on dM stars [144,145,146,147,148,149,150,151], dK stars [152], and weak-line T-Tauri stars [153]. Up to now, we have mentioned studies that used a single-star observational approach. To increase efficiency, observing several stars simultaneously is an alternative approach. Such multi-object observations have been performed by Guenther and Emerson [138], Leitzinger et al. [154], Korhonen et al. [155] and Vida et al. [156]. Furthermore, dedicated searches in the data archives have also been performed. The Polarbase archives have been searched for optical signatures on dM [42] and solar-like stars [157]. These revealed no events on solar-like stars but detected more than 400 line asymmetries on 25 dM stars. In most cases, the detected velocities did not reach surface escape velocity (≈580 km s−1): the typical observed maximum velocities are on the order of 100–300 km s−1, while the typical masses of the ejecta were on the order of 10 15 10 18 g (see Figure 11). The line asymmetries were found to be more frequent on cooler stars with stronger chromospheric activity. Fuhrmeister et al. [158] used the archive of “Calar Alto high-Resolution search for M dwarfs with Exoearths with Near-infrared and optical Echelle Spectrographs” (CARMENES). Koller et al. [159] used the Sloan Digital Sky Survey (SDSS) Data Release 14, and Lu et al. [160] used the LAMOST Medium-Resolution Spectroscopic Survey (LAMOST-MRS) to search for signatures of erupting filaments/prominences in optical data. The all-sky data archives of SDSS and LAMOST revealed a handful of events each, whereas the Polarbase and CARMENES archives showed more events.
The method of Doppler-shifted absorption/emission has also been used at wavelengths other than optical. Leitzinger et al. [29] searched the archive of the far ultraviolet spectroscopic explorer (FUSE) for Doppler-shifted absorptions/emissions. One slow event (projected velocity of 84 km s−1) on AD Leo was detected in the OVI doublet at 1032 Å in one spectrum after a flare. Argiroffi et al. [31] identified in Chandra data a similar slow event in the OVIII line at X-ray wavelengths on the magnetically active giant star HR 9024 (G1 III) also after a flare, which the authors interpreted as a possible CME. They also identified up and down flows in flare loops with projected velocities in the range of 100–400 km s−1. The flare event presented by Argiroffi et al. [31] shows an exceptional duration of ∼1 day. Using Chandra data, Chen et al. [161] investigated the young and active dMe star EV Lac. In several flares, the authors also measured up and down flows of <130 km s−1. In one flare, a decreasing plasma density was found, which the authors interpreted as a possible filament eruption.
There have also been investigations of the Sun-as-a-star signature of erupting filaments in the EUV. Xu et al. [162] report on spectral line asymmetries seen in OIII, OV, and OVI during a solar eruption using SDO/EVE observations, i.e., EUV Sun-as-a-star observations. Using imaging information, the authors could relate the asymmetries with a CME on the Sun. Lu et al. [163] report on eight CME and filament eruption events where “blue-wing” asymmetries (i.e., asymmetries towards the shorter wavelengths) were found in the OIII spectral line. Also, Otsu and Asai [136] report on similar events observed, in addition, in H α and present “blue-wing” asymmetries in the OV and OVI spectral lines related to a filament eruption. This demonstrates the potential for stellar CME detections with EUV spectroscopy.
Based on the solar–stellar analogy, there are two types of radio bursts that are routinely used to search for CMEs on stars. These are the radio type-II and moving type-IV bursts. To identify those, radio multi-channel receiver observations are needed, as only in dynamic spectra the frequency-dependent structure can be seen. However, already in the 1990s, single-channel receivers observing at very few frequencies were used to identify stellar activity from the prominent active star EV Lac using the Ukrainian T-shaped radio array second modifications (UTR-2) [164,165]. Some years later, several studies [166,167,168] repeated those observations but this time with multi-channel receivers, resulting in a number of bursts, the majority being similar to solar type-III bursts and some having a high probability to be of stellar origin. Again a few years later, the search for type-II bursts continued, but either no bursts were detected [169] or the deduced parameters did not match expected parameters from coronal models which led the authors to conclude that CMEs on other stars than the Sun are rare [170,171]. Following that, Villadsen and Hallinan [172] also searched for type-II radio bursts in active stars, and although they detected several bursts, they state that none of them are type II-like. Mullan and Paudel [173] hypothesize that on dM stars, due to the powerful magnetic fields, CMEs must have unrealistic high velocities to produce type-II emission. One year later, Zic et al. [174] presented a radio burst on Proxima Centauri, which the authors assign to be a stellar analog of the solar radio type IV burst because of its polarization and temporal structure. Already in the eighties of the last century, Kahler et al. [175] presented radio light curves, suspecting a type-IV-like burst associated with a flare. Only recently, Bloot et al. [176] presented a 250-hour-long investigation of the planet-hosting young and active star AU Mic using the Australia Telescope Compact Array in a frequency band between 1.1 and 3.1 GHz. These authors found a variety of bursts on AU Mic and present a unique classification, but confirm no analogs of solar type-II or type-IV occurrences. Even more recently, Mohan et al. [177] observed AD Leo for only 8 hours with the uGMRT and found a type-III burst and, in the post-flare phase, a highly polarized type-IV burst, which the authors suspect to be potentially correlated with a CME.
Coronal dimmings—evacuated coronal regions after large flares—are a rather recently developed and applied methodology as CME tracers. Veronig et al. [178] established the Sun-as-a-star signature of solar EUV dimmings using extreme ultraviolet variability experiment (EVE) data using a sample of ∼60 solar events. Based on the resulting close relation between dimmings and CMEs, these authors used stellar X-ray (X-ray multi-mirror mission/XMM-Newton and Chandra) and EUV (extreme ultraviolet explorer/EUVE) databases to search for flares that possibly show coronal dimmings. This search yielded 21 events that showed a significant flux depression after the flare (see Figure 12). Loyd et al. [179] performed a coronal dimming search on the dK2 star ϵ Eri in three FUV flares in Hubble Space Telescope (HST) data, but found no convincing dimming event and therefore derived upper limits of masses of possibly associated CMEs of a few 10 15 g for 1 MK plasma.
The method of continuous X-ray absorptions dates back to an interpretation of increased hydrogen density during an X-ray flare having occurred on Proxima Centauri [180]. These authors interpreted the increase in hydrogen density as the passage of an erupting filament obscuring the flaring region. Since then, there have been several detections of this phenomenon not only on main-sequence stars (e.g., Proxima Cen, V773 Tau) [180,181,182] but also on binary stars (e.g., Algol) [183,184] and RS CVn systems (e.g., UX Ari) [185,186]. The event on Algol was reinvestigated by Moschou et al. [187] who determined the parameters of a possibly related CME by applying a geometrical model. These authors derive a CME mass in the range of 1021–1022 g.
Bond et al. [188] investigated HST spectra of the pre-cataclysmic binary V471 Tau, which consists of a hot white dwarf and a cool red K-dwarf. The authors obtained Ly α time series and detected the sudden appearance of the SiIII line in absorption for several consecutive spectra. This appearance was interpreted by the authors as CMEs from the cool K-dwarf passing through the light of the white dwarf. According to their detections, these authors derive a CME rate of 100–500 day−1 from the K-dwarf. Kővári et al. [112] investigated the same system using data from CFHT/ESPaDOnS and created Doppler images. The Doppler images have shown a dominant spot region at higher latitudes. These authors used around 500 spectra for their analysis summing up to one and a half days of total on-source time. As the data set used in Kővári et al. [112] includes the Balmer lines, one should have seen signatures of erupting filaments/prominences using the method of Doppler-shifted emission/absorption, but none were found.
Another approach to estimating CME frequencies on other stars is to use their observed flare frequencies and combine them with solar flare–CME relationships. The only missing link to CMEs, the CME–flare association rate, is usually a critical point in such investigations as there is no determined stellar flare–CME association rate from any star known up to now. Aarnio et al. [189] used their own relation of X-ray flare energy and CME mass, derived for solar events, which they related with X-ray flare energy distributions from stars in the Orion Nebula Cluster (ONC), to estimate mass-loss rates of those stars. For their approach, they assumed a CME–flare association rate of 100%. As stars selected in the ONC are very young, as it is a star-forming region, the derived mass loss rates were one to five orders of magnitude higher than for the present-day Sun. One year later, Drake et al. [190] used a similar approach. They utilized the flare energy–CME mass relation and flare–CME association rate from Yashiro and Gopalswamy [22] and combined them with theoretical flare energy distributions that were scaled with the stars’ X-ray luminosities. Based on this approach, these authors found that the CME mass-loss rate scales with increasing X-ray luminosity, where, for the most active stars, the mass-loss rates are up to four orders of magnitude higher than the solar mass-loss rate. These mass-loss rates are comparable with the ones from Aarnio et al. [189]; however, the related kinetic energy losses are too high and would require unrealistically high fractions of the stellar energy budget. Therefore Drake et al. [190] concluded that solar flare–CME relations can not be extrapolated easily to the the most active stellar cases. Odert et al. [191] refined this method by using a power law derived from stellar EUV observations to estimate the stellar FFDs depending on stellar X-ray luminosity. The determined CME mass-loss rates are one to two orders of magnitude lower than the maximum values derived in Drake et al. [190]. These authors also cross-checked their CME mass-loss rates with the available total mass-loss rate measurements presented in Wood et al. [192] (updated in [193]). The total stellar mass-loss rates also include the mass-loss by CMEs, and therefore, the modeled CME mass-loss rates from Odert et al. [191] should be below the observed total mass-loss rates [192,193]. It showed that up to an FFD power law index of α = 2.2 , the CME-related mass loss rates in Odert et al. [191] lie below the total observed mass-loss rates derived in Wood et al. [192,193] and are, therefore, in agreement. Another approach in this category was presented by Osten and Wolk [194]. Here, energy equipartition between bolometric flare radiation and kinetic CME energy is assumed instead of using solar flare energy–CME mass distributions. The application of this method to observed stellar flare statistics revealed comparable CME mass-loss rates as presented in studies before. Cranmer [195] presented a different approach to assess stellar CMEs, namely they used a relation between surface-averaged magnetic flux with the mean kinetic energy flux of CMEs on the Sun. Their conclusion is that on young solar-mass stars, the mass loss is likely CME-dominated.
In recent years, modeling of stellar CMEs and their related signatures has been established, yielding highly interesting new aspects. Signatures of erupting prominences/filaments have been modeled by Odert et al. [196], who applied a simplified approach based on radiative transfer equations aimed at predicting signatures in Balmer lines. These authors have shown that the later the spectral type of the star the less signal-to-noise is required to detect the signature of an erupting prominence/filament in Balmer lines due to the contrast effect in terms of the continuum level of the star. Leitzinger et al. [143] applied a 1D NLTE model originally developed for the Sun [197,198] to a prominent case in the literature, namely the complex prominence/filament eruption on the active dMe star V374 Peg presented in [30]. Solutions were found for both filament (see Figure 13) and prominence geometry, indicating that on dMe stars, an emission signature can also be seen in filament geometry. This can not be explained with scattering only, as the emissivity of the prominence/filament needs to be taken into account in the formalism. Ikuta and Shibata [199] applied a 1D hydrodynamical simulation of the plasma flow to the possible filament eruption seen in H α from Namekata et al. [32]. The authors find that the variations (absorption) seen in the stellar H α profile can be explained in terms of a failed filament eruption.
Potential diagnostics of UV signatures for stellar CME detection have been investigated by Wilson and Raymond [200]. From solar UVCS observations, they find that CIV1550Å, OVI1032Å, and CIII977Å are predicted to be the most favorable spectral lines to be searched for massive stellar CMEs. An analytical CME model is used to investigate the detectability of CMEs on solar-type stars in EUV spectra in the study of Yang et al. [201]. The authors show that it is feasible to detect stellar CME signatures in EUV spectra of moderate spectral resolution and S/N. Cully et al. [202] model the EUV light curve of a long-duration flare on AU Mic by applying the scenario of an expanding CME with a mass of 1020 g. Contrary to this explanation of the EUV light curve, Katsova et al. [203] presented another explanation involving post-eruptive energy release without any CME.
Type II radio bursts have been searched for a long time to identify possible stellar CMEs. Mullan and Paudel [173] suggested that on dMe stars, very high CME velocities are needed to produce type II bursts due to their strong magnetic fields. Alvarado-Gómez et al. [204] used numerical modeling to show that the emitting regions for type II bursts are more distant from the star, making the signature appear at different frequencies than on the Sun, which may lie below the ionospheric cut-off, and are therefore, not accessible with ground-based radio observatories. Ó Fionnagáin et al. [205] also focused on type II bursts and predicted their occurrence for ϵ Eri, as this star has no such strong magnetic field as other younger and more active stars, and the CMEs may not be confined. These authors also stress that the location of the radio burst is relevant in terms of observed intensity and duration.
Also the signature of coronal dimmings, as another signature of CMEs, was subject to theoretical investigations. Jin et al. [206] studied a flux rope ejection in a magnetic field and found that for more active stars than the Sun, coronal dimmings may appear at higher temperatures.
Drake et al. [190] suggested magnetic confinement as a possible reason for the so far sparse detection of CMEs on other stars. This confinement scenario was investigated by Alvarado-Gómez et al. [207] by placing a flux rope in a coronal magnetic field. For a 75 G magnetic field, it was shown that solar-like CMEs may not erupt and remain confined. Only more energetic events may erupt. Also, the application of such simulations to the M-dwarf regime Proxima Cen, ref. [208] reveals similar results. Associated coronal dimming signatures were also determined even when the events were confined. Both the global overlying and also the local magnetic field are relevant for magnetic confinement. The local magnetic field was taken into account by Sun et al. [209], who investigated the case of torus instability above star spots as a driver for CMEs. An MHD model was used to model a superflare on the solar analog κ 1 Cet [210]. The results have shown that the global-scale shear concentrated near the radial-field polarity inversion line may yield the energy to initiate an eruptive superflare similar to the Carrington event, which happened on the Sun in the 19th century.
Stellar CME propagation has also been investigated. Kay et al. [211] investigated CME deflection by the magnetic field, leading to changing CME trajectories on the young and active dMe star V374 Peg, using an adapted solar CME deflection model. As on dMe stars, the magnetic field is much stronger than on the present-day Sun; these authors also found much stronger deflections towards the astrospheric current sheet. Accordingly, the authors suggested that the CME impact on planets is maximal if the planetary orbit is not inclined relative to the astrospheric current sheet. Applying the model to the solar analog κ Cet [212] revealed that CMEs on that star are deflected towards the astrospheric current sheet, which may result in high impact rates on orbiting planets around κ Cet. The initial parameters of stellar CMEs and their influence on the CME trajectories have been investigated by Menezes et al. [213] for Kepler-63 and Kepler-411, two young (∼200 Myr) G-type stars. The results indicate that deflections of CMEs decrease with their rotational velocity and increase with ejection latitude and also that stronger magnetic fields cause greater deflections.

8. Final Thoughts and Outlook

More than half a century has passed since the XIII IAU General Assembly organized the Working Group on Flare Stars to coordinate work and observations on UV Cet-type stars to investigate the temporal distribution of flares [63]. In that time, the temporal resolution, precision of the observations, and amount of available data increased by orders of magnitudes. The Big Data era following the advent of space-based photometric observations has significantly advanced our understanding of stellar flares. Thanks to space missions like the Kepler and TESS observatories, we now have continuous datasets of several thousand flare stars. These extensive datasets have enabled the discovery of flares in previously under-observed stellar populations, e.g., giant stars [41], and provided new insights into the frequency, energy distribution, and temporal behavior of flares. The new findings indicate correlations between a star’s fundamental properties and the nature of its flare activity, suggesting that the underlying magnetic dynamo processes are heavily influenced by these stellar characteristics, necessitating a deeper exploration of these relationships.
Our review highlights that flare activity is not limited to solar-type stars but spans a wide variety of stellar types, some of which exhibit unique flare characteristics. This diversity alone calls for a more flexible interpretation of the solar–stellar paradigm in the case of flares and underscores the need for tailored models for different stellar environments. The review identifies several observations that challenge the traditional solar-based flare model. The standard flare model may not account for the varying conditions found in different stellar environments, such as differing magnetic field strengths, rotation rates, and convection zones. Observations of stars with complex and dynamic magnetic field topologies suggest that the standard model’s assumptions about the magnetic reconnection process may not fully capture the intricacies of flare mechanisms in other stars. The universal applicability of the solar paradigm is also questioned by the fact that we know stars with significantly higher flare frequencies and intensities than the Sun. These stars may exhibit different energy release mechanisms or flare triggers. Going further, flare behaviors observed in stars at different stages of their evolution, from pre-main sequence to red giants, highlight the need for models that can accommodate changes in internal structure and magnetic activity over time. Also, activity phenomena less typical for the Sun, such as active longitudes [214], starspots persisting over many rotations [215], extreme rotation modulation, etc., suggest that additional or alternative physical processes may influence flare activity in such cases. Moreover, the relationship between flares and CMEs in other stars often differs from the solar context. We still have limited statistical data on stellar CMEs, mainly due to observational constraints, but it appears, for example, that some stars show flares without associated CMEs, or vice versa (as seen on the Sun as well), indicating that the standard model’s coupling of these events may not be universally applicable.
Observing flares in close binary systems is even more challenging due to the need to disentangle the contributions from both stars, requiring advanced techniques and coordinated observations across multiple wavelengths. However, there are further problems to be worked out in connection with flares in close binaries. The energy distribution of flares may differ from single stars due to combined magnetic energy reservoirs and the complex magnetic field dynamics of the binary system. Synchronous rotation due to strong tidal interactions can lead to enhanced and more stable magnetic activity, influencing the frequency and energy of flares. Moreover, flares can impact any surrounding circumbinary disks, influencing disk dynamics, heating, and potential planet formation processes. In certain close binaries, especially those involving a compact object (e.g., a white dwarf, neutron star, or black hole), the accretion of material from one star to another can trigger flares through interactions with the accreted material and the magnetic field. Furthermore, the relationship between flares and CMEs in close binaries can be influenced by the interactions between the two stars’ magnetospheres, potentially leading to either enhanced or suppressed CME activity. Last but not least, in systems with close-in planets, magnetic interactions between the planet and the host star can also influence flare activity, adding another layer of complexity to the study of flares. It is clear that only by addressing the challenges mentioned above would it be possible to develop more comprehensive and flexible models that accurately describe flare phenomena in such a wide range of stellar environments.
We started our introduction in Section 1 with the idea that flares and CMEs are known to affect nearby planets, so it is no surprise that the scientific community of exoplanet researchers is looking forward with great interest and excitement to space missions that are suitable for spectroscopic measurements, thereby being able to detect changes in the atmospheres of exoplanets, which occur due to flares from the host star. In fact, JWST is already capable of this [216], and ESA’s mission in the near future, Planetary Transit and Oscillations of Stars (PLATO), which is aimed to study terrestrial planets orbiting in the habitable zone of Sun-like stars, will also be able to do so. Looking a little further, we can also mention ESA’s Ariel here. Therefore, with continued advancements in these new observational technologies and collaborative efforts within the scientific community, we are optimistic about the prospects of deepening our understanding of stellar flares, CMEs, and their broader implications.

Author Contributions

Conceptualization, K.V. and Z.K.; formal analysis, K.V., Z.K., L.K., M.L., P.O., K.O. and B.S.; investigation, K.V., Z.K., L.K., M.L., P.O., K.O. and B.S.; software, L.K., B.S. and K.V.; writing—original draft preparation, K.V., Z.K., K.O., M.L. and P.O.; writing—review and editing, L.K., B.S. and R.G.; visualization, L.K., B.S. and A.M.G.; supervision, K.V., Z.K., K.O., M.L. and P.O.; project administration, K.V., Z.K., L.K., M.L. and P.O.; funding acquisition, K.V., Z.K., L.K., M.L. and P.O. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by the Hungarian National Research, Development, and Innovation Office grant KKP-143986. Authors acknowledge the financial support of the Austrian–Hungarian Action Foundation grants 98öu5, 101öu13, 104öu2, 112öu1. L.K. acknowledges the support of the Hungarian National Research, Development, and Innovation Office grant PD-134784. K.V. is supported by the Bolyai János Research Scholarship of the Hungarian Academy of Sciences. This research was funded in whole, or in part, by the Austrian Science Fund (FWF) 10.55776/I5711. For the purpose of open access, the author has applied a CC BY public copyright license to any Author-Accepted Manuscript version arising from this submission. On behalf of the “Looking for stellar CMEs on different wavelengths” project, we are grateful for the possibility of using HUN-REN Cloud [217], which helped us achieve the results published in this paper.

Conflicts of Interest

The authors declare no conflicts of interest. The funders had no role in the design of the study; in the collection, analyses, or interpretation of the data; in the writing of the manuscript; or in the decision to publish the results.

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Figure 1. Coronal mass ejection on the Sun on 10 May 2024 as detected by SOHO/LASCO C2 and C3 instruments. The plot shows a running difference between consecutive frames. In the middle, SDO/AIA 171 observation of the Sun is shown for reference.
Figure 1. Coronal mass ejection on the Sun on 10 May 2024 as detected by SOHO/LASCO C2 and C3 instruments. The plot shows a running difference between consecutive frames. In the middle, SDO/AIA 171 observation of the Sun is shown for reference.
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Figure 2. Flaring stars across the HRD. Blue points show the Kepler input catalog (KIC) [38], green points denote the Kepler flare catalog of Yang and Liu [39], red points show G-type stars showing superflares [40], and pink points mark flaring giant stars [41]. Orange points show stars with possible detections of flare-related coronal mass ejections [42] (note that in the latter case, physical parameters are not from the Kepler catalog, as that cuts off at 3100 K.
Figure 2. Flaring stars across the HRD. Blue points show the Kepler input catalog (KIC) [38], green points denote the Kepler flare catalog of Yang and Liu [39], red points show G-type stars showing superflares [40], and pink points mark flaring giant stars [41]. Orange points show stars with possible detections of flare-related coronal mass ejections [42] (note that in the latter case, physical parameters are not from the Kepler catalog, as that cuts off at 3100 K.
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Figure 3. Flare frequency distribution for EI Eri following a broken power law shape [73]. The dashed line denotes a fit for all of the points with a power law index of 1.66 ± 0.04 , while the solid lines show a two-component fit with indices of 1.41 ± 0.02 and 2.26 ± 0.08 .
Figure 3. Flare frequency distribution for EI Eri following a broken power law shape [73]. The dashed line denotes a fit for all of the points with a power law index of 1.66 ± 0.04 , while the solid lines show a two-component fit with indices of 1.41 ± 0.02 and 2.26 ± 0.08 .
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Figure 4. Example of a flare observed by Kepler on the giant star KIC 6861498, which, at first glance, is not evident on the fairly high amplitude light curve. The part framed in red in the upper panel is shown enlarged in the lower panel, on which the flare has been zoomed in even further to make it visible.
Figure 4. Example of a flare observed by Kepler on the giant star KIC 6861498, which, at first glance, is not evident on the fairly high amplitude light curve. The part framed in red in the upper panel is shown enlarged in the lower panel, on which the flare has been zoomed in even further to make it visible.
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Figure 5. Flare duration vs. flare energy for a sample of stars with different surface gravity values in the Kepler field [41]. (Left): flare duration values for flares in the Kepler 30 min sample as a function of flare energy on a log–log scale with linear fits to the values of individual stars. (Right): slopes of the fitted lines from the left panel as a function of log g . Error bars show the uncertainties of the slopes, and the point sizes represent the number of flares observed on each star. The blue line shows a linear fit to the slopes.
Figure 5. Flare duration vs. flare energy for a sample of stars with different surface gravity values in the Kepler field [41]. (Left): flare duration values for flares in the Kepler 30 min sample as a function of flare energy on a log–log scale with linear fits to the values of individual stars. (Right): slopes of the fitted lines from the left panel as a function of log g . Error bars show the uncertainties of the slopes, and the point sizes represent the number of flares observed on each star. The blue line shows a linear fit to the slopes.
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Figure 6. Fifty-nine confirmed flare events—sharp increases of intensity on the timescale of a few minutes–hours—on the ∼K0 giant primary of the SB1 binary KIC 2852961, based on the long-cadence Kepler data [19]. Note the changing amplitude of the rotational light curve due to the constantly evolving spotted surface.
Figure 6. Fifty-nine confirmed flare events—sharp increases of intensity on the timescale of a few minutes–hours—on the ∼K0 giant primary of the SB1 binary KIC 2852961, based on the long-cadence Kepler data [19]. Note the changing amplitude of the rotational light curve due to the constantly evolving spotted surface.
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Figure 7. Correlation between the light curve amplitude variation of KIC 2852961 (shown in Figure 6) and the total energy released by flares according to Kővári et al. [19]. The top panel shows the moving average of the amplitude within 3 P rot time interval, while the bottom panel indicates the total flare energy release within the same interval. Tick marks at the bottom are the peak times of the flares.
Figure 7. Correlation between the light curve amplitude variation of KIC 2852961 (shown in Figure 6) and the total energy released by flares according to Kővári et al. [19]. The top panel shows the moving average of the amplitude within 3 P rot time interval, while the bottom panel indicates the total flare energy release within the same interval. Tick marks at the bottom are the peak times of the flares.
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Figure 8. Distribution of flares detected along the orbital phase in the single-lined spectroscopic binary EI Eri from Kriskovics et al. [73]. The active G5 subgiant component is shown on the left and the unseen companion on the right. The tick marks around the G5 star show the phase values of the individual flare detections. The polar distribution function of the detections, plotted as a solid line above the surface indicates that the spatial distribution of the flares is not random.
Figure 8. Distribution of flares detected along the orbital phase in the single-lined spectroscopic binary EI Eri from Kriskovics et al. [73]. The active G5 subgiant component is shown on the left and the unseen companion on the right. The tick marks around the G5 star show the phase values of the individual flare detections. The polar distribution function of the detections, plotted as a solid line above the surface indicates that the spatial distribution of the flares is not random.
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Figure 9. Flare detections in the red dwarf+white dwarf eclipsing binary system V471 Tau from the Kepler K2 mission data [112]. In the top panel, as an example, we show a segment of the Kepler K2 light curve, on which a flare occurs just when the white dwarf component is obscured. In the lower panel, the scaled diagram of the system is shown with the phases of the 198 flare observations marked around the red dwarf component. Although the polar distribution function above the surface is not definitive, it rather suggests that the occurrence of flares is random.
Figure 9. Flare detections in the red dwarf+white dwarf eclipsing binary system V471 Tau from the Kepler K2 mission data [112]. In the top panel, as an example, we show a segment of the Kepler K2 light curve, on which a flare occurs just when the white dwarf component is obscured. In the lower panel, the scaled diagram of the system is shown with the phases of the 198 flare observations marked around the red dwarf component. Although the polar distribution function above the surface is not definitive, it rather suggests that the occurrence of flares is random.
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Figure 10. Left panel: Complex coronal mass ejection event on V374 Peg—the event can be seen as a distortion of the blue wing in the H α line [30]. Marks on the left show the times of the spectra, and arrows note the times of the outbreaks. Right panel: Pre-event normalized spectra from HJD-2,450,000 = 3604.01 in H α and H β (see [143]) corresponding to the fastest event detected on V374 Peg shown in the left panel around HJD 2,453,604.00, marked with the top arrow.
Figure 10. Left panel: Complex coronal mass ejection event on V374 Peg—the event can be seen as a distortion of the blue wing in the H α line [30]. Marks on the left show the times of the spectra, and arrows note the times of the outbreaks. Right panel: Pre-event normalized spectra from HJD-2,450,000 = 3604.01 in H α and H β (see [143]) corresponding to the fastest event detected on V374 Peg shown in the left panel around HJD 2,453,604.00, marked with the top arrow.
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Figure 11. Parameters from the blue and red enhancement of the H α line asymmetries possibly related to stellar coronal mass ejections from [42]. Each panel shows a Gaussian kernel density estimate, with 20 km s−1 bandwidth for the velocity shifts, and 0.1 for log Mass. The blue and red enhancements are probably caused by the Doppler-shifted emission of the ejected and falling back material, respectively.
Figure 11. Parameters from the blue and red enhancement of the H α line asymmetries possibly related to stellar coronal mass ejections from [42]. Each panel shows a Gaussian kernel density estimate, with 20 km s−1 bandwidth for the velocity shifts, and 0.1 for log Mass. The blue and red enhancements are probably caused by the Doppler-shifted emission of the ejected and falling back material, respectively.
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Figure 12. EUVE DS light curve of the active K-dwarf AB Dor showing several flares and one dimming occurring at the end of the light curve after the last larger flare (adapted from Veronig et al. [178]). Grey-shaded areas denote data points from which the quiescent level of AB Dor was determined.
Figure 12. EUVE DS light curve of the active K-dwarf AB Dor showing several flares and one dimming occurring at the end of the light curve after the last larger flare (adapted from Veronig et al. [178]). Grey-shaded areas denote data points from which the quiescent level of AB Dor was determined.
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Figure 13. Shown are parameter distributions, both physical and geometrical, obtained from NLTE modeling [143] of an erupting filament scenario, applied to the event detected in Vida et al. [30]. These distributions were derived for the event shown in the right panels of Figure 10. Black solid lines refer to 2- σ results whereas blue solid lines refer to 1 σ results.
Figure 13. Shown are parameter distributions, both physical and geometrical, obtained from NLTE modeling [143] of an erupting filament scenario, applied to the event detected in Vida et al. [30]. These distributions were derived for the event shown in the right panels of Figure 10. Black solid lines refer to 2- σ results whereas blue solid lines refer to 1 σ results.
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Vida, K.; Kővári, Z.; Leitzinger, M.; Odert, P.; Oláh, K.; Seli, B.; Kriskovics, L.; Greimel, R.; Görgei, A.M. Stellar Flares, Superflares, and Coronal Mass Ejections—Entering the Big Data Era. Universe 2024, 10, 313. https://doi.org/10.3390/universe10080313

AMA Style

Vida K, Kővári Z, Leitzinger M, Odert P, Oláh K, Seli B, Kriskovics L, Greimel R, Görgei AM. Stellar Flares, Superflares, and Coronal Mass Ejections—Entering the Big Data Era. Universe. 2024; 10(8):313. https://doi.org/10.3390/universe10080313

Chicago/Turabian Style

Vida, Krisztián, Zsolt Kővári, Martin Leitzinger, Petra Odert, Katalin Oláh, Bálint Seli, Levente Kriskovics, Robert Greimel, and Anna Mária Görgei. 2024. "Stellar Flares, Superflares, and Coronal Mass Ejections—Entering the Big Data Era" Universe 10, no. 8: 313. https://doi.org/10.3390/universe10080313

APA Style

Vida, K., Kővári, Z., Leitzinger, M., Odert, P., Oláh, K., Seli, B., Kriskovics, L., Greimel, R., & Görgei, A. M. (2024). Stellar Flares, Superflares, and Coronal Mass Ejections—Entering the Big Data Era. Universe, 10(8), 313. https://doi.org/10.3390/universe10080313

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