Open Access
Issue
A&A
Volume 681, January 2024
Article Number L16
Number of page(s) 5
Section Letters to the Editor
DOI https://doi.org/10.1051/0004-6361/202348704
Published online 23 January 2024

© The Authors 2024

Licence Creative CommonsOpen Access article, published by EDP Sciences, under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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1. Introduction

A number of recent results point to a misunderstanding with respect to the modelling of rotation in stellar interiors through evolution (e.g. Aerts et al. 2019, and references therein). Since the theory of angular momentum (AM) transport by meridional circulation and shear instabilities has failed to account for observational constraints brought by asteroseismology (e.g. Eggenberger et al. 2012), this has led to the conclusion that additional physical processes would transport AM efficiently in stellar interiors. Currently, the theory of internal magnetic fields generated by the Tayler–Spruit dynamo (hereafter, TS; Spruit 2002) in its revised form (Fuller et al. 2019) is the closest and most widely tested solution to the AM transport problem in stellar evolution theory. However, disagreements with regard to the core rotation rates of subgiants have undermined this solution (e.g. Eggenberger et al. 2019). The recent detection of radially differential rotation between the convective core and the radiative interior of main sequence (MS) stars (Saio et al. 2021) poses an additional, yet fundamental, challenge to our understanding of AM transport in stellar interiors, since asteroseismic studies of MS gravity-mode pulsators had provided the rotation rate only in their radiative regions.

In MS stars, particularly Gamma Doradus stars (hereafter γ Dor), an almost uniform rotation is favoured along the radiative interior (e.g. Van Reeth et al. 2018), although differential rotation in the near-core regions could not be excluded. The rotation rate of the convective core was recently measured for the first time in a sample of 16 γ Dor stars (Saio et al. 2021) by modelling features called “dips” seen in the period spacing patterns of gravity modes1. As shown by Ouazzani et al. (2020) those dips are caused by resonant coupling between inertial modes trapped in the convective core and gravity modes propagating in the radiative interior (see also Tokuno & Takata 2022; Aerts & Mathis 2023). What is crucial to glean from these first constraints is that the convective core rotates slightly faster than the radiative interior, with a difference of at most ∼20%. Although this may appear to be a small difference, in combination with previous results, it provides strong information on how the physical processes should operate in stellar interiors. Moreover, these constraints allow us to study the AM transport in regions with strong chemical gradients, since the mass of the convective core in these stars is expected to decrease through the MS, thereby leading to a gradual change in the chemical composition between the convective core and the radiative interior. This makes it particularly important to carry out detailed tests of the inherent physical processes, since several hydrodynamic and magnetic instabilities in stellar interiors are inhibited by chemical composition gradients. This is because the fluid motions are expected to be able to counteract the buoyancy forces (e.g. Heger et al. 2000).

In this Letter, we study the development of differential rotation between the convective core and the radiative interior through the MS in models with purely hydrodynamical processes, namely, the advection of angular momentum by meridional currents and shear instabilities, as well as in models that also include internal magnetic fields generated by the TS dynamo. We further test whether these models are in agreement with the estimates provided by Saio et al. (2021) and we consider their applicability to more advanced phases.

2. Input physics of models

We used the Geneva stellar evolution code (GENEC; Eggenberger et al. 2008) to compute models of rotating stars during the MS. The code includes a detailed treatment of AM transport following the formalism of Zahn (1992), which takes into account AM advection by meridional currents and diffusion by turbulent processes such as shear instabilities. We employed the formulation of Maeder (1997) for the secular shear instability and the formulation presented by Eggenberger et al. (2022) for the internal magnetic fields generated by the Tayler instability. We assumed that convective overshooting mixes chemical elements instantaneously, but the temperature gradient remains non-adiabatic in the overshooting regions (i.e. the step-overshooting formalism). We used an overshooting strength of d = 0.05 Hp (where Hp is the local pressure scale height) for models with M < 1.7 M, and d = 0.1 Hp for models with M ≥ 1.7 M. The rest of the input parameters and the physics included are the same as those given in Moyano et al. (2023), unless otherwise specified, and we refer to this work for further details.

The AM transport by internal magnetic fields in our models relies on a generalised prescription of the Tayler instability as given by Eggenberger et al. (2022). In this prescription, the uncertainties on the timescale needed to damp the instability on the azimuthal magnetic field is parameterised through a variable CT. The general expressions that determine the efficiency of AM transport are hereafter given by Eqs. (1) and (2). The former determines the condition needed for the dynamo to operate which requires a minimum degree of local differential rotation, termed qmin ≡ |∂logΩ/∂log r|min, and given by:

q min = 1 C T ( N eff Ω ) ( n + 2 ) / 2 ( η r 2 Ω ) n / 4 , $$ \begin{aligned} q_{\rm min}=\frac{1}{C_{\rm T}} \left(\frac{N_{\rm eff}}{\Omega } \right)^{(n+2)/2} \left(\frac{\eta }{r^2 \Omega } \right)^{n/4}, \end{aligned} $$(1)

where Neff is the effective Brunt–Väisälä frequency, η is the magnetic diffusivity, Ω is the angular velocity, r is the radial distance from the centre of the star, and n is a parameter that determines the damping timescale of the instability. And the latter sets the efficiency of the AM transport which is regulated by the magnetic viscosity (νmag) and is computed as

ν mag = Ω r 2 q ( C T q Ω N eff ) 3 / n ( Ω N eff ) · $$ \begin{aligned} \nu _{\rm mag} = \frac{\Omega r^2}{q} \left(C_{\rm T} q \frac{\Omega }{N_{\rm eff}} \right)^{3/n} \left(\frac{\Omega }{N_{\rm eff}} \right)\cdot \end{aligned} $$(2)

We recall that with CT = 1 and n = 1 the formalism reduces to that originally proposed by Spruit (2002) and n = 3 to the one proposed by Fuller et al. (2019). In this work, we use n = 1 and different values of CT to study the degree of differential rotation between the convective core, and the near-core rotation rate in the gravity-mode cavity probed with asteroseismic techniques, since it sets the efficiency of AM transport; a lower(higher) value of CT leads to less(more) efficient AM transport.

We compute the near-core rotation rate (Ωnc/2π) as an average rotation rate of the gravity-mode (g-mode, hereafter) cavity from our models as

Ω nc 2 π = 1 2 π r in r out Ω N d r / r r in r out N d r / r , $$ \begin{aligned} \frac{\Omega _{\rm nc}}{2\pi } = \frac{1}{2\pi } \frac{\int _{r_{\rm in}}^{r_{\rm out}}{\Omega N \mathrm{d}r/r}}{\int _{r_{\rm in}}^{r_{\rm out}}{N \mathrm{d}r/r}}, \end{aligned} $$(3)

where N is the Brunt–Väisälä frequency, and rin and rout are the inner and outer limits of the g-mode cavity, respectively. The rotation rate of the convective core (Ωcc/2π) is simply taken as the rotation rate of the centre of the model since we assume rigid rotation in convective regions. In the following sections, all the models presented have an initial mass of M = 1.5 M, an initial metallicity of Z = 0.01, and an initial rotation rate of Ω/2π = 20 μHz at the zero-age main sequence (ZAMS) assuming initial solid body rotation, unless otherwise specified.

3. Models with no internal magnetic fields develop too much differential rotation

Models without internal magnetic fields always develop differential rotation between the convective core and the near-core radiative interior (hereafter inner differential rotation) early during the MS. In Fig. 1 we show the degree of inner differential rotation as measured by the ratio of the rotation rate between the convective core and the near-core radiative region (Ωccnc) during the MS. The initial rotation rate (and hence the rotational velocity) of the models affects the degree of inner differential rotation more strongly than the initial mass or the metallicity. While metallicity has a negligible effect, the initial mass has a mild effect, leading to a difference of at most 5% in the inner differential rotation during the early MS. Low initial velocities lead to higher degree of inner differential rotation during the late MS (central hydrogen mass fraction of X ≲ 0.35), whereas high initial velocities lead to a rapid decoupling between the convective core and the radiative regions as a result of the higher efficiency of advection by meridional currents at higher rotation rates. We also verify whether it is possible to progressively decrease the degree of inner differential rotation by starting with Ωccnc ≃ 1.25 at the ZAMS (shown by the light-blue dashed line in Fig. 1). This behaviour was suggested by Saio et al. (2021) due to the correlation that these authors found between the inner differential rotation and the central hydrogen abundance. We find that this scenario is not achievable in our models with purely hydrodynamical processes.

thumbnail Fig. 1.

Ratio of rotation rate between the convective core and the near-core radiative interior probed by gravity modes, as a function of the central hydrogen abundance in mass fraction for models without internal magnetic fields. The effect of initial rotation rates (top), metallicity (middle), and initial mass (bottom) are illustrated in each panel. All models are computed assuming uniform rotation as an initial condition, except for the model in light-blue dashed line in the top panel where we assumed that initially the convective core rotates faster than the near-core regions.

The evolution of the rotation rate in the stellar interior (i.e. the rotation profiles) through the MS without internal magnetic fields is shown in Fig. 2. The central regions correspond to the convective core, so the rotation profile is flat there since we assume uniform rotation in convective regions, while the rotation rate in the outer regions decreases mainly as a consequence of the radial expansion through the MS. The rotation profile reaches a pseudo-equilibrium state early during the MS where the convective core rotates faster than the radiative interior as a result of the meridional circulation and the shear instability. Thus, its morphology is relatively unaffected until the end of the MS.

thumbnail Fig. 2.

Rotation rate as a function of the radial distance from the centre of the star in units of solar radii, for models without internal magnetic fields. The points over the lines indicate the mean rotation rate of the gravity-mode cavity computed with Eq. (3) for each model. The models are shown at different stages during the MS, as indicated by the mass fraction of central hydrogen in the figure.

4. Internal magnetic fields allow for small inner differential rotation

Models with internal magnetic fields develop less inner differential rotation than models with purely hydrodynamical processes. In Fig. 3 we show the evolution through the MS of the degree of inner differential rotation in models with internal magnetic fields and its sensitivity to the constant CT (see Eqs. (1) and (2)). Since the constant CT sets the efficiency of the AM transport, low values of such a constant (e.g. CT = 0.001) lead to similar evolution and degree of inner differential rotation as in models without magnetic fields, while high values lead to smaller inner differential rotation. Models with a weak AM transport efficiency converge to the same degree of inner differential rotation towards the end of the MS because the receding convective core leads to an extended region of relatively strong chemical gradients, which suppress the TS dynamo and so the convective core can decouple from the radiative interior as in models with only hydrodynamical processes. The model computed with CT = 1 corresponds to the original prescription provided by Spruit (2002). Models computed with the prescription proposed by Fuller et al. (2019) lead to rigid rotation near convective-core boundaries.

thumbnail Fig. 3.

Same as Fig. 1, but for models including internal magnetic fields. The efficiency of angular momentum transport is proportional to CT (see Sect. 2). Models without magnetic fields and models computed with the original prescriptions proposed by Spruit (2002) and Fuller et al. (2019) are also included for reference.

In Fig. 4, we show an example of the kind of rotation profiles during the MS of our models with internal magnetic fields using a value of CT = 0.125 in Eqs. (1) and (2). As the stars evolve through the MS, the convective core detaches from the radiative interior because the convective core retreats; thus, the gradients of chemical composition develop close to the convective boundaries. Furthermore, since the TS dynamo is inhibited by chemical composition gradients, thus differential rotation close to the boundaries of the convective core can develop progressively through the MS. In the outer radiative interior and up to the surface, the rotation profile is nearly uniform since in chemically homogeneous regions the dynamo can operate efficiently and even more far from the centre (see Eq. (2)). However, this kind of profile is only possible when adopting values of CT ≲ 0.5. A value of CT = 216, as needed to reproduce the core rotation rate of red giants (Eggenberger et al. 2022), leads to almost rigid rotation during the MS. The same conclusion is reached when using the prescription provided by Fuller et al. (2019).

thumbnail Fig. 4.

Same as Fig. 2, but for models including internal magnetic fields following a modified and less efficient version of the Tayler–Spruit dynamo, which corresponds to models computed with CT = 0.125 shown in Fig. 3.

5. Comparison with asteroseismic constraints

We compare the degree of inner differential rotation and near-core rotation rates obtained in our models with the estimates provided by Saio et al. (2021) and Li et al. (2020). We chose these quantities because they are not strongly sensitive to stellar parameters: the near-core rotation rate derived from the slope of the period spacing patterns by Li et al. (2020) is robust to changes in mass, metallicity, and evolutionary age (Ouazzani et al. 2017). In addition, the inner differential rotation as measured by the ratio Ωccnc is robust compared to changes in stellar parameters extracted from the best-fit models presented by Saio et al. (2021), such as central hydrogen abundance or stellar mass. For the comparison with the models, we take the rotation rate of the convective core estimated from the best-fit models without overshooting presented by Saio et al. (2021) and the near-core rotation rates provided by Li et al. (2020). The uncertainty on the rotation rate of the convective core is simply taken as the difference between the estimates obtained with models using a different overshooting strength by Saio et al. (2021).

In Fig. 5, we show that the degree of inner differential rotation in models without internal magnetic fields is in disagreement with the current constraints, since (as shown in Fig. 2) the convective core decouples from the radiative interior early during the MS. This is illustrated by the points over the different curves located when the central abundance of hydrogen reaches X = 0.7, 0.5, 0.35, and 0.1. For the model with an initial near-core rotation rate of Ωnc/2π = 29 μHz, as soon as the central hydrogen content reaches X ≃ 0.7, the convective core already rotates approximately 20% faster than the radiative interior. For the lowest initial velocities, the points at X = 0.7 are located progressively to the left because the convective core decouples slower at low initial velocities (as shown in Fig. 1). This is because the efficiency of meridional circulation is proportional to the rotation rate. While, in principle, these models can potentially reproduce the constraints, we do not deem it very likely as the phase of readjustment of the rotation profile occurs relatively fast.

thumbnail Fig. 5.

Near-core rotation rate (Ωnc/2π) as a function of the ratio of rotation rate between the convective core and the near-core radiative region (Ωccnc). The models include angular momentum transport by meridional currents and shear instabilities, but do not include internal magnetic fields. The models are computed from the zero age main sequence assuming initial solid-body rotation (Ωccnc)ini = 1, with different initial rotation rates as indicated in the figure. The triangles over the evolutionary tracks indicate the time the central hydrogen content reaches X = 0.7, 0.5, 0.35, and 0.1 (from left to right, respectively). The data points correspond to the constraints provided by Saio et al. (2021).

In Fig. 6, we show that models with internal magnetic fields following the original prescription by Spruit (2002) cannot reproduce the degree of inner differential rotation and the near-core rotation rate simultaneously. These kinds of models cannot reproduce the observational constraints for any initial rotational velocity, due to the fact that the TS dynamo acts more efficiently at higher rotational velocities (see Eqs. (1) and (2)). Because of this, the degrees of inner differential rotation displayed by the data cannot be reproduced by choosing high initial velocities for the models. In fact, our model with an initial rotation rate of Ω/2π = 33 μHz corresponds to 80% of its critical velocity and achieves a critical value at roughly the middle of the MS; this is also why the behaviour of this model is different towards the end of the MS, resulting from AM removal due to mechanical mass-loss. More efficient formulations, such as that proposed by Fuller et al. (2019), lead to quasi-rigid rotation and, thus, they are not favoured by the data. As a result, we find that a less efficient AM transport process is needed.

thumbnail Fig. 6.

Same as Fig. 5, but for models including internal magnetic fields following the original prescription of Spruit (2002).

In Fig. 7, we show that our models with internal magnetic fields following a modified and less efficient version of the TS dynamo computed with CT = 0.125 can reproduce the qualitative trends in a reasonable way. These models spend more than half of their MS lifetime with degrees of inner differential rotation in agreement with asteroseismic constraints, as illustrated by the symbols over the different tracks. This occurs because the convective core decouples from the radiative interior progressively due to the development of chemical gradients in the near-core regions and so, the inner differential rotation increases progressively as the convective core recedes. In the radiative regions above the core, the AM is redistributed efficiently, leading to a decreasing Ωnc/2π. We note that the evolution of the rotation profile for this kind of model is shown in Fig. 4. The latter is needed to satisfy the constraints on the apparently quasi-rigid rotation from the surface to the near-core regions (Van Reeth et al. 2018; Li et al. 2020) and to reproduce their surface rotational velocities (Moyano et al. 2023). Moreover, this conclusion is largely independent of the rotational history during the pre-MS, since before the hydrogen starts burning in the core, little to no chemical composition gradients are present in the radiative regions. This allows for the TS dynamo to operate efficiently, since buoyancy forces only work to weakly stabilise the radial motions associated to the Tayler instability when we are dealing with a chemically homogeneous medium. Therefore, our models with internal magnetic fields always converge to a uniform rotation profile by the time they arrive at the ZAMS.

thumbnail Fig. 7.

Same as Fig. 5, but for models including internal magnetic fields following a modified and less efficient version of the Tayler–Spruit dynamo, computed with CT = 0.125 in Eqs. (1) and (2).

We note that our interpretation of the data is different from that of Saio et al. (2021), who suggested that the convective core re-couples with the radiative interior through evolution; so, the degree of inner differential rotation decreases progressively, instead of increasing as it is shown to do in our models. However, that would imply that the near-core regions should rotate faster as the stars evolve through the MS, which we do not support since our previous studies have demonstrated that to reproduce the surface rotational velocities of these kinds of stars, the AM from the near-core regions should be transported to the surface (Moyano et al. 2023). Moreover, evidence from previous studies using gravity modes and the modulation seen in the light curves (potentially caused by magnetic spots) suggest quasi-rigid rotation in radiative regions (Van Reeth et al. 2018; Li et al. 2020). This should lead to decreasing near-core rotation rates, as the AM is extracted from the near-core regions and redistributed in the whole radiative interior.

6. Implications for the angular momentum transport problem

Internal magnetic fields generated by the TS dynamo either in its standard (Spruit 2002), revised (Fuller et al. 2019), or calibrated forms (Eggenberger et al. 2022) lead to quasi-rigid rotation and are rejected as a result. Purely solid-body rotation or our models with purely hydrodynamical processes are not able to reproduce the qualitative trends seen in the data. Our models with a modified and less efficient version of the TS dynamo are in better agreement with the rotational constraints on the convective core and the radiative interior. However, this less efficient version leads to weaker transport during the post-MS phase, which, in turn, leads to core rotation rates that are in disagreement with asteroseismic constraints (e.g. those from Mosser et al. 2012; Gehan et al. 2018). Moreover, Deheuvels et al. (2020) found that two young subgiants just beginning to expand towards the red giant phase, rotate roughly as solid bodies. We find that our models cannot account for these constraints. This raises the question of whether the same physical process should dominate the AM transport during the MS and the subgiant or red giant phase. It is possible that other processes are at work during the post-MS phase efficient enough to slow down the cores. Some of these processes might include internal gravity waves (e.g. Pinçon et al. 2017), mixed modes (Belkacem et al. 2015a,b) that remain as-yet unexplored in stellar evolution calculations, or another form of magnetic fields or magnetic instabilities, such as the azimuthal magneto-rotational instability (e.g. Meduri et al. 2024) or large-scale internal magnetic fields (e.g. Takahashi & Langer 2021).


1

A period spacing pattern is the relation between the difference in period, ΔPn = Pn + 1 − Pn, between modes of consecutive radial order and the pulsation period, Pn, of different radial modes.

Acknowledgments

F.D.M. thanks Masao Takata for useful discussions during the MIAPbP workshop held during August of 2023. The authors have received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement No. 833925, project STAREX). The computations were performed at University of Geneva using Baobab HPC service.

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All Figures

thumbnail Fig. 1.

Ratio of rotation rate between the convective core and the near-core radiative interior probed by gravity modes, as a function of the central hydrogen abundance in mass fraction for models without internal magnetic fields. The effect of initial rotation rates (top), metallicity (middle), and initial mass (bottom) are illustrated in each panel. All models are computed assuming uniform rotation as an initial condition, except for the model in light-blue dashed line in the top panel where we assumed that initially the convective core rotates faster than the near-core regions.

In the text
thumbnail Fig. 2.

Rotation rate as a function of the radial distance from the centre of the star in units of solar radii, for models without internal magnetic fields. The points over the lines indicate the mean rotation rate of the gravity-mode cavity computed with Eq. (3) for each model. The models are shown at different stages during the MS, as indicated by the mass fraction of central hydrogen in the figure.

In the text
thumbnail Fig. 3.

Same as Fig. 1, but for models including internal magnetic fields. The efficiency of angular momentum transport is proportional to CT (see Sect. 2). Models without magnetic fields and models computed with the original prescriptions proposed by Spruit (2002) and Fuller et al. (2019) are also included for reference.

In the text
thumbnail Fig. 4.

Same as Fig. 2, but for models including internal magnetic fields following a modified and less efficient version of the Tayler–Spruit dynamo, which corresponds to models computed with CT = 0.125 shown in Fig. 3.

In the text
thumbnail Fig. 5.

Near-core rotation rate (Ωnc/2π) as a function of the ratio of rotation rate between the convective core and the near-core radiative region (Ωccnc). The models include angular momentum transport by meridional currents and shear instabilities, but do not include internal magnetic fields. The models are computed from the zero age main sequence assuming initial solid-body rotation (Ωccnc)ini = 1, with different initial rotation rates as indicated in the figure. The triangles over the evolutionary tracks indicate the time the central hydrogen content reaches X = 0.7, 0.5, 0.35, and 0.1 (from left to right, respectively). The data points correspond to the constraints provided by Saio et al. (2021).

In the text
thumbnail Fig. 6.

Same as Fig. 5, but for models including internal magnetic fields following the original prescription of Spruit (2002).

In the text
thumbnail Fig. 7.

Same as Fig. 5, but for models including internal magnetic fields following a modified and less efficient version of the Tayler–Spruit dynamo, computed with CT = 0.125 in Eqs. (1) and (2).

In the text

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