On the Diversity of M-star Astrospheres and the Role of Galactic Cosmic Rays Within

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Published 2020 July 9 © 2020. The American Astronomical Society. All rights reserved.
, , Citation Konstantin Herbst et al 2020 ApJL 897 L27 DOI 10.3847/2041-8213/ab9df3

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2041-8205/897/2/L27

Abstract

With upcoming missions such as the James Webb Space Telescope, the European Extremely Large Telescope, and the Atmospheric Remote-sensing Infrared Exoplanet Large-survey, we soon will be on the verge of detecting and characterizing Earth-like exoplanetary atmospheres for the first time. These planets are most likely to be found around smaller and cooler K- and M-type stars. However, recent observations showed that their radiation environment might be much harsher than that of the Sun. Thus, the exoplanets are most likely exposed to an enhanced stellar radiation environment, which could affect their habitability, for example, in the form of a hazardous flux of energetic particles. Knowing the stellar radiation field, and being able to model the radiation exposure on the surface of a planet, is crucial to assess its habitability. In this study, we present 3D magnetohydrodynamic-based model efforts investigating M-stars, focusing on V374 Peg, Proxima Centauri, and LHS 1140, chosen because of their diverse astrospheric quantities. We show that V374 Peg has a much larger astrosphere (ASP) than our Sun, while Proxima Centauri and LHS 1140 most likely have ASPs comparable to or even much smaller than the heliosphere, respectively. Based on a 1D transport model, for the first time, we provide numerical estimates of the modulation of Galactic cosmic rays (GCRs) within the three ASPs. We show that the impact of GCRs on the Earth-like exoplanets Proxima Centauri b and LHS 1140 b cannot be neglected in the context of exoplanetary habitability.

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1. Introduction

The structure of an astrosphere (ASP) strongly depends on the properties of both the hot and fully ionized stellar wind and the surrounding interstellar medium (ISM). Differences in the stellar wind and the local ISM can lead to a wide range of shapes of ASPs (e.g., Müller et al. 2006; Scherer et al. 2008). While simulations of ASPs around hot stars most often make use of 1D or 2D (M)MH approaches (e.g., van Marle et al. 2014), it is inevitable to apply 3D astrospheric modeling in order to estimate the radiation and cosmic-ray (CR) particle field of cool stars. In order to do so, for example, the 3D magnetohydrodynamic (MHD) code CRONOS (Kissmann et al. 2018) can be used. CRONOS has been successfully applied to hot O–B stars (e.g., Scherer et al. 2015) and, most recently, to a study of astrospheric shock structures (Scherer et al. 2020).

While orbiting its parent star, potential close-in exoplanets of M-stars might be exposed to a strong outflow of stellar plasma, determining not only the planetary particle environment but also its magnetospheric properties (see, e.g., Preusse et al. 2005). From the Sun, we further know that intense solar flares often are accompanied by coronal mass ejections (CMEs). Keeping in mind that active stars produce much stronger and more frequent stellar flares, a substantial mass loss from flare-associated CMEs may be expected. Thus, long-term exposure to strong ambient stellar winds and CMEs may have substantial effects on planetary atmospheres through, for example, erosion where planets will lose a significant fraction of their atmosphere. Although Moschou et al. (2019) presented a more optimistic scenario of lower resulting CME kinetic energies, in order to sustain an atmosphere in closer-in habitable zones (HZs), planets would either need strong internal magnetic fields or thick atmospheres (e.g., Lammer et al. 2007). The first studies have been performed, for example, by Khodachenko et al. (2007). However, at this point, the impact of stellar winds and CMEs on close-in exoplanets is still controversially debated.

Most recently the influence of CRs on atmospheric chemistry and climate came into focus (e.g., Grießmeier et al. 2016; Scheucher et al. 2018; Herbst et al. 2019a). In particular, the propagation of Galactic cosmic rays (GCRs) is highly influenced by the presence of astrospheric magnetic fields (AMFs), which act as small-scale sinks, decreasing the GCR flux. However, up to now, only analytic estimates of the GCR flux within other ASPs, in particular, those of M-stars, can be found in the literature (e.g., Sadovski et al. 2018). According to these estimates, the influence of GCRs can be neglected when studying exoplanetary habitability.

Utilizing full 3D MHD modeling, we study the ASPs of the three M-stars V374 Pegasi, Proxima Centauri, and LHS 1140. In order to give a numerical estimate of the location- and energy-dependent CR flux within these ASPs, we further solve the particle transport equation (Parker 1965) in a first approximation using 1D stochastic differential equations (SDEs; see, e.g., Strauss & Effenberger 2017).

1.1. Characteristics of M-stars

Cool, low-mass stars like K- and M-dwarfs are more common within the Galaxy than hotter, more massive ones (Smith & Scalo 2009). Their large number, long main-sequence lifetime, and their low luminosity (which is caused by their low masses and small radii) make them favorable targets to detect habitable rocky (Earth-like) exoplanets (Dittmann et al. 2017). However, such cool stars have close-in HZs, regions where planetary temperatures are just right to sustain liquid water on the planetary surface, ranging between 0.03 au (late-type M-dwarfs) and 0.5 au (young M-dwarfs). According to West et al. (2004, 2015) and Mohanty et al. (2002) the more prominent the stellar convection envelope and the stellar rotation rates, the stronger the stellar activity. However, for mid- to late-type M-stars (M4 to M8.5 types), the activity saturates at higher rotational velocities, while above M9, the activity levels decrease significantly (see, e.g., Kay et al. 2016). Furthermore, according to Vidotto et al. (2011), observations of surface magnetic field distributions suggest that young M-dwarfs host weak large-scale magnetic fields dominated by toroidal and non-axisymmetric poloidal configurations (see also Donati et al. 2006). Mid-M-dwarfs, on the other hand, are hosts to strong, mainly axisymmetric large-scale poloidal fields (Morin et al. 2008). According to Candelaresi et al. (2014), for most of these stars, a stellar activity significantly above the solar level is observed.

Thus, the exoplanetary radiation environment around certain M-dwarfs may be much harsher as compared to that of the Sun (Herbst et al. 2019b) with which we are familiar. Due to their long main-sequence lifetimes and, therefore, activity periods in the order of gigayears (West et al. 2004), as well as the small planet-star separations, exoplanets could be exposed to an enhanced stellar radiation field over long timescales. This radiation field, in turn, could affect the planetary habitability, for example, due to a hazardous flux of stellar energetic particles (SEPs) influencing its atmospheric evolution, climate, and photochemistry (e.g., Scheucher et al. 2018, 2020) as well as the altitude-dependent atmospheric radiation dose (e.g., Atri 2020).

Thus, detailed knowledge of the stellar radiation and particle environment and their impact on the (exo)planetary atmospheric chemistry, climate, and induced atmospheric particle radiation field is crucial in order to assess its habitability and, in particular, potential atmospheric biosignatures. However, up to now, the impact of GCRs has been neglected in such studies.

1.2. Characteristics of the Studied Systems

In order to investigate the diversity of M-star ASPs, in this study, the M-dwarfs V374 Pegasi (huge ASP compared to the heliosphere) and Proxima Centauri (medium-sized ASP comparable to the heliosphere), which both are known to be active flaring stars, and LHS 1140 (tiny ASP compared to the heliosphere), an inactive star, are studied. Their characteristic features, such as luminosity, radius, and mass, are listed in the upper part of Table 1.

Table 1.  Stellar Properties of V374 Peg, Proxima Centauri, and LHS 1140 (First Block), the Corresponding Stellar Wind Properties (Second Block), the Assumed ISM Parameters (Third Block), and the Modeled Termination Shock (TS), Astropause (AP), and Bow Shock (BS) Distances (Fourth Block)

Parameter V374 Peg Prox Cen LHS 1140
Type M3.5Vea M5.5Vea M4.5a
Teff (K) 3440b 3050c 3131d
Prot (days) 0.44b 83e 82.6d
L/L 0.01452f 0.00155f 0.00298f
R/R 0.340b 0.141c 0.186d
M/M 0.280b 0.123c 0.146d
B (nT) 1.6 · 108g 6 · 107h 1 · 107i
${\dot{M}}_{\star }$ (M yr−1) 4 · 10−10g 2 · 10−15j 5 · 10−17k
Tsw at 1 au (K) 1 · 105l 1 · 105l 4.6 · 104l
vsw at 1 au (km s−1) 1500g 1500m 250n
nsw at 1 au (cm−3) 35742k 0.00028k 0.27k
Bsw at 1 au (nT) 6.6o 1.8o 0.3o
TISM (K) 9000l 9000l 9000l
vISM (km s−1) 30l 30l 40l
nISM (cm−3) 11l 0.06l 0.1l
BISM (nT) 1l 0.3l 0.3l
TS (au) 3.6 · 103 53.7 8.0
AP (au) 8.5 · 103 122.0 11.3
BS (au) 1.3 · 104 28.9

Notes.

aData taken from http://simbad.u-strasbg.fr/simbad/. bTaken from Vida et al. (2016). cTaken from Anglada-Escudé et al. (2016). dTaken from Dittmann et al. (2017). eTaken from Benedict et al. (1998). fData calculated via the Stefan-Boltzmann law L ∝ ${R}_{\star }^{2}{T}_{\star }^{4}$. gTaken from Vidotto et al. (2011). hTaken from Reiners & Basri (2008). iTaken from Donati et al. (2006). jTaken from Wood et al. (2001). kAfter Wilkin (2000) (see the text). lSophisticated guess based on heliospheric parameters. mWithin the limitations of Garraffo et al. (2016). nScaling with the ratio of solar and stellar temperature. oCalculated after ${B}_{{sw}}={B}_{\star }/{B}_{\odot }\cdot {B}_{\odot ,{sw}}$.

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1.2.1. V374 Pegasi

V374 Pegasi, also known as GJ 4247, is an old main-sequence star with an extraordinarily strong surface magnetic field of about 1.6 · 108 nT and a mass-loss rate of 4 · 10−11 to 4 · 10−10 M yr−1 (Vidotto et al. 2011).

1.2.2. Proxima Centauri

Our nearest neighbor Proxima Centauri, also known as GJ 551, is only (1.3012 ± 0.0003) pc away (Garraffo et al. 2016). According to Reiners & Basri (2008) and Garraffo et al. (2016), its surface magnetic field is in the order of 6 · 107 nT, and has a mass-loss rate of approximately 2.84 · 10−15 M yr−1. Its rocky Earth-like planet Proxima Centauri b has a semimajor axis of (0.0485 ± 0.0041) au, a mass of mP = ${1.63}_{-0.72}^{+1.66}\,{m}_{\oplus }$ and a radius of ${R}_{{\rm{P}}}={1.07}_{-0.31}^{+0.38}\,{R}_{\oplus }$ (see Bixel & Apai 2017). With an equilibrium temperature of 227 K, its orbital period is in the order of ${11.186}_{-0.002}^{+0.001}$ days.

1.2.3. LHS 1140

LHS 1140, also known as GJ 3053, can be found at a distance of (12.47 ± 0.42) pc and is more than 5 Gyr old (Dittmann et al. 2017). Its rocky super-Earth, LHS 1140 b, whose orbit has a semimajor axis of (0.0875 ± 0.0041) au, has a mass of mP = (6.65 ± 1.82)m, a radius of RP = (1.43 ± 0.10)R, a surface gravity of gP = (31.8 ± 7.7) m s−2, and an equilibrium temperature of Teq = (230 ± 20) K (Dittmann et al. 2017).

2. Modeling Stellar Astrospheres

In order to model the ASPs of the three M-dwarfs, we use the 3D finite-volume MHD code CRONOS (Kissmann et al. 2018). The code is based on a Riemann solver in order to perform simulations on a star-centered spherical grid with a resolution of ${N}_{r}\times {N}_{\vartheta }\times {N}_{\varphi }=1024\times 60\times 120$ cells in the cases of LHS 1140, 1024 × 64 × 32 cells in the case of Proxima Centauri, and 1024 × 16 × 32 cells in the case of V374 Peg. Thereby, distances to the star within [0.03 au ... 1 pc] and the full 4π solid angle are covered; here the approach by Scherer et al. (2020) is followed.

We note that the stars have been chosen carefully based on the variety of their stellar magnetic fields: while V374 Peg has a magnetic field that is about three times stronger than the heliospheric magnetic field (HMF), the magnetic field of LHS 1140 is about one order of magnitude weaker than the HMF. Unfortunately, no direct information regarding the ISM in the vicinity of V347 Peg and LHS 1140 are available, and certain assumptions have to be made. The assumed ISM parameters are listed in the third block of Table 1.

In case the stellar magnetic field is known, only information of the magnetic field strength on the surface of the star is available. By assuming that the stellar magnetic field is an analog to the HMF and thus is frozen into the stellar wind and forms a Parker spiral (Parker 1958), the AMF can be assumed as

Equation (1)

where B0 is the radial magnetic field component at distance r0 from the star and r the stellar-centric distance. In a frame corotating with the star both the frozen-in field line and the stream line of the plasma coincide. Therefore, the ratio between the azimuthal stellar wind speed vφ and the radial stellar wind speed vsw is given by

Equation (2)

where Ω is the stellar rotation rate and ϑ the colatitude.

Another critical parameter is the distance of the astrospheric termination shock (TS). The defining quantity, determining this distance, is the balance between the momentum density of the ISM and that of the supersonic stellar wind, both dominated by their ram pressures. According to Parker (1958), the TS distance in the upwind direction is given by

Equation (3)

with r0 being the reference distance and vISM being the speed of the ISM, while ρsw and ρISM give the stellar wind and ISM densities, respectively. Furthermore, ρsw can be determined by taking into account the stellar mass loss rate $\dot{{M}_{\star }}$ (Wilkin 2000), leading to ${\rho }_{\mathrm{sw}}({r}_{0})={\dot{M}}_{\star }/(4\pi {r}_{0}^{2}{v}_{\mathrm{sw}})$, with r0 = 1 au, and thus

Equation (4)

We note that due to the lack of observational information, the stellar wind temperatures of the three M-stars at 1 au have been assumed to be comparable to those of the solar wind. Due to the supersonic character of the stellar wind, however, the thermal stellar wind pressure (and thus the assumed stellar wind temperature) does not play an important role. As discussed in Scherer et al. (2020), in highly supersonic flows, the ram pressure is much larger than the thermal pressure, and about three-quarters of the ram pressure is converted to thermal pressure at the termination shock.

3. Results and Discussion

3.1. The Astrospheric Structure of V374 Peg, Proxima Centauri, and LHS 1140

Figure 1 shows the density distribution according to our 3D MHD model effort to determine and characterize the ASPs of V374 Peg (left panel), Proxima Centauri (middle panel), and LHS 1140 (right panel). Significant differences between the ASPs of the modeled M-stars are evident. For example, for V374 Peg, with an ASP expanding up to 13,000 au due to, among other processes, its high mass-loss rate of about $4\cdot {10}^{-10}{M}_{\odot }$ yr−1 (see Table 1), the stellar flow dominates the ISM flow, resulting in the formation of a cavity that is much larger than the heliosphere while the inner AMF is almost negligible.

Figure 1.

Figure 1. Upper panels: modeled density distribution of V374 Peg (left), Proxima Centauri (middle), and LHS 1140 (right) shown within the equatorial plane. In all cases, the ISM is flowing in from the right-hand side. Lower panels: the corresponding spatial density profiles along the line of sight toward the incoming ISM. Termination shock (TS), astropause (AP), and Bow shock (BS) distances are marked. We note that the presented results are based on the values given in Table 1.

Standard image High-resolution image

LHS 1140, on the other hand, has a surprisingly small ASP with a (line-of-sight) TS at about 8.1 au, an astropause (AP) at around 11.5 au, and a bow shock (BS) at ∼28.9 au. Thus, contrary to common assumptions, our model efforts show that not all cool M-stars drive huge ASPs that protect potential Earth-like rocky exoplanets sheltered within from GCRs accelerated at supernovae remnants to energies of up to hundreds of TeV (e.g., Büsching et al. 2005).

In particular, the ASP of Proxima Centauri, with its (line-of-sight) TS at 76 au, and its AP at 110 au, is surprisingly similar to the heliosphere. A direct comparison of both ASPs is given in Figure 2. Here, the upper half shows the model results for the heliosphere, while the lower half highlights the model results for Proxima Centauri. Proxima Centauri has a less expanded TS in the direction toward the incoming ISM than the heliosphere, and its AP is much closer. Furthermore, Proxima Centauri has a more compressed tail-ward TS compared to the heliosphere. On top, also the ASP of LHS 1140 is shown to scale.

Figure 2.

Figure 2. Direct comparison of the model results for the heliosphere (upper part), Proxima Centauri (lower part), and LHS 1140 (on top). The locations of the TS and the HP/AP are highlighted. Note that the modeled heliospheric TS and HP distances are located at 90 au and 130 au, respectively.

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Moreover, Proxima Centauri is found not to drive a BS, which most likely will change when applying a multifluid approach. As discussed by, for example, Scherer et al. (2014), including the He+ component will result in astrospheric Alfvénic and magnetosonic wave speeds lower than the flow speed of the LISM, and lead to the build-up of a BS (see also Izmodenov & Alexashov 2015).

3.2. Modulation of GCRs inside the Astrospheres of V374 Peg, Proxima Centauri, and LHS 1140

From the heliosphere, we know that the turbulent HMF influences the energy spectrum of GCRs by modulating the spectrum below ∼40 GeV. Nevertheless, not only SEPs but also GCRs play an essential role within, for example, the CO2- or N2-O2-dominated atmospheres of Earth, Venus, and Mars, respectively. Particularly significant are the induced changes of the atmospheric ionization, and thus the atmospheric chemistry, as well as the atmospheric radiation dose, which is a measure for planetary habitability.

Based on an analytic approach, Sadovski et al. (2018), for example, found that GCRs below 1 TeV are not present at the orbit of Proxima Centauri b. Similar results are achieved when the so-called force-field approach (e.g., Caballero-Lopez & Moraal 2004) is applied. Thus, in theory, GCRs can be neglected when it comes to studying the impact of CRs on exoplanetary atmospheres. However, the latter employs an AMF much stronger than the HMF, which, according to our model results, is not a valid assumption for all M-star ASPs.

Therefore, as a first step, we utilize the stellar wind speed and magnetic field distributions along the stagnation line provided by our 3D MHD modeling efforts in order to numerically investigate the modulation of GCRs within the ASPs of V374 Peg, Proxima Centauri, and LHS 1140. Numerical models to determine the modulation level of GCRs within the heliosphere are based on solving the transport equation of Parker (1965). As already mentioned in Caballero-Lopez & Moraal (2004), it is advisable to use a full 1D transport code. Thus, in this study, a 1D version of the transport equation is solved numerically by means of SDEs (Strauss & Effenberger 2017, and references therein) in order to investigate the importance of GCRs within the ASPs of M-stars for the first time.

Solving the transport equation in radial direction leads to a radial diffusion coefficient

Equation (5)

where Ψ is the heliospheric/astrospheric winding angle. However, because of the stellar rotation, a largely azimuthal magnetic field is present in ASPs, leading to ${\rm{\Psi }}\to 90^\circ $ and thus κrr = κr, which allows the transport equation to be written as the following Fokker–Planck-like equation in 1D spherical coordinates (e.g., Caballero-Lopez & Moraal 2004):

Equation (6)

The effective radial diffusion coefficient κrr, for Ψ = 90°, can be expressed in terms of a perpendicular diffusion mean free path as

Equation (7)

with v representing the particle speed. However, since in situ observations of the corresponding parameters are not available, the form and magnitude of the diffusion parameters must be estimated based on our current understanding of these processes in the heliosphere. Although analytical forms for the perpendicular mean free path can be derived from theory, these forms require information as to the turbulence conditions in these ASPs (e.g., Engelbrecht & Burger 2013). As such information is currently lacking, in a first approximation λis modeled to scale as the inverse of the stellar magnetic field B, which is provided by the computations with the CRONOS code. We, therefore, assume that

Equation (8)

where P is particle rigidity, P0 = 1 GV, B0 = 1 nT, and B the AMF. Furthermore, for purposes of relative comparison, λ0 = aBE (1 au)/B1 is a normalized mean free path value taking into account the ratio of the stellar B1 and solar magnetic field BE at 1 au as well as the ratio a of the perpendicular and parallel mean free path. As a first approach two values of this latter quantity are employed, viz. a = 0.01 and a = 0.02, following typical values assumed in heliospheric modulation studies (e.g., Ferreira & Potgieter 2003). This equation is, however, only applied inside the modulation cavity, i.e., inside the ASP. In the undisturbed ISM, the mean free path is chosen as λ (r > rAP) = 1 pc and assumed to be constant.

Because of the stronger magnetic field in the modeled ASPs of V374 Peg and Proxima Centauri, analogously to the situation in the heliosphere, λ is shorter within the cavities of these ASPs than in the ISM, where the mean free path is in the order of 0.1–10 pc. Cosmic-ray modulation models require essential input in some form of the local interstellar spectrum (LIS), i.e., essentially an unmodulated boundary condition. In the present study, the same LIS, namely the one used by Strauss et al. (2011), is employed for all ASPs considered here as a first approximation. While this assumption may hold for the heliosphere and Proxima Centauri due to their relative proximity, this may not be the case for the other ASPs and will be the subject of future studies. More detailed information on the numerical solution of Fokker–Planck equations by SDEs is given, for example, in Strauss & Effenberger (2017) and references therein.

The corresponding modeled primary proton energy spectra between 100 MeV and 40 GeV (lower panel) and the relative GCR modulation with respect to the unmodulated LIS are displayed in the panels of Figure 3. Thereby, for each ASP, upper and lower limits are presented, which can be interpreted as the uncertainty due to, for example, potential stellar activity and/or possible differences in the ratio between parallel and perpendicular mean free paths (e.g., Engelbrecht & Burger 2015). These limits correspond to solutions computed assuming, respectively, that parameter a has a value of 0.02 or 0.01. The corresponding energy-dependent flux values are listed in Table 2.

Figure 3.

Figure 3. Upper panel: relative change of the GCR intensity with respect to the LIS. Lower panel: corresponding differential energy spectra within the ASPs of the heliosphere (black), V374 Peg (in petrol), Proxima Centauri (in light-blue), and LHS 1140 (in purple) at the distance of their (potential) Earth-like planets (see Section 1.2).

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Table 2.  Energy-dependent Differential GCR Intensities at Earth, Proxima Centauri b, and LHS 1140 b in Units of m−2 sr−1 s−1 GeV−1

Energy 0.1 GeV 0.4 GeV 1.0 GeV 4.0 GeV 10.0 GeV 40.0 GeV
LIS 26.994 15.37 5.58 0.33 2.97 · 10−2 6.31 · 10−4
LHS 1140 b 20.31 11.75 4.80 0.26 2.60 · 10−2 6.00 · 10−4
  18.15 9.67 3.60 0.18 2.00 · 10−2 5.30 · 10−4
Prox Cen b 19.29 10.23 3.92 0.21 2.21 · 10−2 5.84 · 10−4
  16.59 7.88 2.77 0.15 1.79 · 10−2 4.84 · 10−4
Earth 1.16 1.93 1.35 0.22 2.0 · 10−2 5.5 · 10−4
  0.27 0.64 0.63 0.14 2.0 · 10−2 5.5 · 10−4
V374 Peg 4.10 · 10−2 4.02 · 10−2 8.90 · 10−3 5.10 · 10−3 2.37 · 10−3 3.87 · 10−4
  9.80 · 10−5 1.30 · 10−4 2.00 · 10−4 1.40 · 10−4 1.10 · 10−4 7.90 · 10−5

Note. Upper values correspond to stellar minimum and lower values to stellar maximum conditions.

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As can be seen in the upper panel, the GCR flux of, for example, 1 GeV protons around Earth is reduced by about 75%–88% of the unmodulated LIS flux during solar maximum and minimum conditions, respectively, while the flux of 1 GeV particles around V374 Peg is completely suppressed. However, in general, much less modulation of GCR protons occurs within the ASPs of Proxima Centauri and LHS 1140. Thus, in contrast to prior assumptions (e.g., Sadovski et al. 2018), the influence of GCRs on the atmospheres of the presumably Earth-like exoplanets Proxima Centauri b and LHS 1140 b is much stronger and thus cannot be neglected.

The use of a simplified 1D SDE model, however, has its limitations. For example, CR transport processes that are known to influence GCR intensities in the heliosphere and that require modeling in more than one dimension, such as drifts due to gradients and curvatures in the AMF, cannot be taken into account (e.g., Engelbrecht et al. 2019, and references therein). In the heliosphere, drift effects have long been known to significantly affect the degree to which GCR spectra are modulated (e.g., Jokipii & Levy 1977). This degree would depend very much on the nature of the ASP under consideration and would need to be ascertained using 2D or 3D GCR transport models. As such, the present 1D approach serves to provide a first-order estimate of GCR modulation effects, and further refinements to this approach would be the subject of future studies.

4. Summary and Conclusions

For the first time, we studied the ASPs of cool M-stars through 3D MHD modeling with the simulation code CRONOS. The foci of this study were the three M-stars V374 Peg, Proxima Centauri, and LHS 1140, which not only are hosts of potentially Earth-like planets in their HZs but are also rather diverse, which, for example, reflects in their different mass-loss rates, ranging from 5 · 10−17 M yr−1 (LHS 1140) to 4 · 10−10 M yr−1 (V374 Peg). The scenarios presented can be seen as extreme cases of M-star ASPs.

In contrast to previous assumptions, we found that not all M-stars drive huge ASPs: out of the three investigated ASPs, this assumption was shown only to be valid for the ASP of V374 Peg. The size of the ASP of Proxima Centauri, however, was shown to be directly comparable to the heliosphere, while the entire ASP of LHS 1140, compared to the solar system, would fit well within the orbit of Neptune.

Furthermore, the influence of GCRs within the ASPs of cool stars is extensively discussed in the literature. Among others, for example, Scherer et al. (2008) studied changes in the heliospheric hydrogen flux that lead to increased fluxes of GCRs at 1 au. For the first time, this study showed the possibility of investigating the modulation of GCRs through 1D SDE modeling utilizing the results of the 3D MHD astrospheric model efforts. In contrast to the results based on analytical approaches by, for example, Sadovski et al. (2018), which suggest that GCRs below 10 TeV are not present within M-star ASPs, we could show that the GCR flux along the line of sight of both the ASPs of Proxima Centauri and LHS 1140 is up to one order of magnitude higher than within our heliosphere. The computations, although preliminarily done using a 1D GCR transport model, show that the GCR contribution cannot necessarily be assumed to be negligible. The latter, in particular, is valid for inactive cool stars, with the implication of a dominant GCR component additional to any contribution due to cosmic rays of stellar origin as discussed by, for example, Youngblood et al. (2017) and Herbst et al. (2019b). Thus, the impact of GCRs in the context of exoplanetary habitability, in particular of the potentially Earth-like planets Proxima Centauri b and LHS 1140 b, cannot be neglected.

Moreover, or study points out that future studies of cool G-, K-, and M-stars will rely not only on 3D MHD modeling of their ASPs but also on 3D SDE modeling of the CR transport within. The latter is indeed possible, as the current modeling efforts can be expanded to include turbulence transport modeling, and the results can be employed in modeling more realistic GCR diffusion coefficients, as has been done in the heliosphere by, for example, Wiengarten et al. (2016). The latter will be the subject of future investigations.

K.H. acknowledges the International Space Science Institute and the supported International Team 464: The Role Of Solar And Stellar Energetic Particles On (Exo)Planetary Habitability (ETERNAL, http://www.issibern.ch/teams/exoeternal/). K.S. is grateful to the Deutsche Forschungsgemeinschaft (DFG), funding the project SCHE334/9-2. SESF acknowledges the partial financial support of the NRF under grants 93546 and 109253. This work is based on research supported partially by the CHPC in Cape Town, under the High Performance Computing project ASTRO1277.

Software: CRONOS (Kissmann et al. 2018) and SDE (e.g., Strauss & Effenberger 2017).

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10.3847/2041-8213/ab9df3