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Review

The Structure and Evolution of Stars: Introductory Remarks

by
Dominic M. Bowman
1,2,*,†,
Jennifer van Saders
3,*,† and
Jorick S. Vink
4,*,†
1
Institute of Astronomy, KU Leuven, Celestijnenlaan 200D, 3001 Leuven, Belgium
2
School of Mathematics, Statistics and Physics, Newcastle University, Newcastle upon Tyne NE1 7RU, UK
3
Institute for Astronomy, University of Hawai’i, Honolulu, HI 96822, USA
4
Armagh Observatory and Planetarium, College Hill, Armagh BT61 9DG, UK
*
Authors to whom correspondence should be addressed.
These authors contributed equally to this work.
Galaxies 2023, 11(5), 94; https://doi.org/10.3390/galaxies11050094
Submission received: 13 July 2023 / Revised: 23 August 2023 / Accepted: 25 August 2023 / Published: 31 August 2023
(This article belongs to the Special Issue The Structure and Evolution of Stars)

Abstract

:
In this introductory chapter of the Special Issue entitled ‘The Structure and Evolution of Stars’, we highlight the recent major progress made in our understanding of the physics that governs stellar interiors. In so doing, we combine insight from observations, 1D evolutionary modelling and 2D + 3D rotating (magneto)hydrodynamical simulations. Therefore, a complete and compelling picture of the necessary ingredients in state-of-the-art stellar structure theory and areas in which improvements still need to be made are contextualised. Additionally, the over-arching perspective linking all the themes of subsequent chapters is presented.

1. Introduction

Our understanding of stellar structure and evolution has progressed dramatically in recent decades thanks to high-precision observations from modern instrumentation, increased complexity and flexibility in evolutionary modelling software tools, and improved physics and computing resources for advanced (magneto)hydrodynamical simulations. This combined approach of tackling unresolved issues from these three angles has led to improved physical prescriptions in models calibrated by observations. On the other hand, it has also unveiled large theoretical uncertainties for stars across the Hertzsprung–Russell (HR) diagram [1,2,3], which is subsequently driving new advances.
While many textbooks, special volumes, and conference proceedings have been written about stellar evolution, we feel that there is a need to specifically address the physical ingredients that determine the structure of a star. Moreover, we wish to identify common themes in stellar structures across the HR diagram, since focus is often given to a niche part of it. Even before we are able to predict the outcomes of stellar evolution as compact white dwarfs, neutron stars, or black holes, with or without a prior supernova explosion, the physics of stellar evolution up to these final stages is uncertain due to inaccurate 1D stellar structures that percolate into evolutionary predictions.
Generally speaking, stars consist of three regimes: a core, an envelope, and an atmosphere from which the light emerges. Depending on the stellar mass and the evolutionary stage, cores and envelopes can be either radiative or convective. These regions define the (dominant) form of energy transport, but their physical definition and the interface between them represent a large source of uncertainty in stellar structure theory. Whilst stellar atmospheres are key messengers of astronomical information, they are also physical laboratories of radiation pressure leading to radiation-driven winds for high-mass stars and chemical mixing and transport phenomena such as radiative levitation in hot low-mass stars, which is where heavy elements with large cross-sections can gain momentum by absorbing photons from outflowing radiation. In this Special Issue, we focus on the basic interior structure of cores and envelopes, leaving stellar atmospheres, stellar winds, as well as nucleosynthesis to other outlets.
In Autumn of 2021, the authors of this chapter were fortunate to be present in person at the ‘Probes of Transport in Stars’ scientific programme organised by Matteo Cantiello, Adam Jermyn, Daniel Lecoanet, and Jamie Tayar, and hosted by the Kavli Institute for Theoretical Physics (KITP), University of California Santa Barbara (UCSB), USA. Such a fantastic opportunity to bring together a diverse collection of observers, modellers and numericists allowed new avenues of research to be conceived pertaining to various transport mechanisms within stellar structure and evolution theory. Born out of this innovative and productive program, we conceived of this Special Issue to document the impactful new and ongoing projects that are at the forefront of astronomy research in the field of stellar structure theory. The chapters within this Special Issue span a range of topics related to the physics of stellar structure, with several of the authors also being in-person or virtual participants of the ‘Probes of Transport in Stars’ program hosted by KITP in 2021.
In this manuscript, we provide a brief overview of each chapter in this Special Issue. However, it is also our goal to link and discuss the overarching themes across all of them for the non-expert reader. The order of chapters in the Special Issue is as follows:
1.
Joyce and Tayar: 1D convection in stellar modelling
2.
Alecian and Deal: Opacities and atomic diffusion
3.
Keszthelyi: Magnetism in high-mass stars
4.
Lecoanet and Edelmann: Multi-D simulations of core convection
5.
Anders and Pedersen: Convective boundary mixing in main-sequence stars
6.
Jiang: Radiation dominated envelopes of massive stars
In the subsequent sections, we provide a brief overview of each chapter’s goals and contents as an introduction for the non-expert reader.

2. Chapter 1: 1D Convection in Stellar Modelling

Convection is omnipresent in stars at some point in their evolution. For stars like the Sun, convection occurs in a thick envelope and thus is the dominant mixing and energy transport mechanism at the photosphere. Very low-mass stars, such as M dwarfs, are fully convective throughout their interior. Meanwhile, for compact stars, such as white dwarfs, conduction is an important energy transport mechanism. At the other end of the mass-scale in the upper part of the HR diagram, the hydrogen-burning cores of high-mass main-sequence stars are convective and their envelopes are radiative. During the main sequence, the envelopes of massive stars are dominated by radiation, but convection becomes increasingly more important in their envelopes as they evolve off the main sequence. This means that for all stars in the HR diagram the definition and numerical implementation of convection is important in calculating stellar structure models. However, convection is inherently a 3D process, but most state-of-the-art evolution models are 1D, with some being 2D (e.g., the ESTER code [4,5,6]). Consequently, the optimum 1D representation and numerical prescription for convection remains a topic of ongoing investigation.
In chapter 1 of this Special Issue, Joyce and Tayar (2023) [7] provide a detailed overview of convection inside stars. Specifically, they focus on the numerical prescription known as Mixing Length Theory (MLT [8]) commonly used to define convective regions within stellar structure models and to parameterise convection in 1D. MLT for convection is a formalism analogous to having a mean free path of a fluid parcel in thermodynamics, and specifies the distance such a parcel travels before fully mixing with its surrounding fluid. However, the MLT formalism is only described in 1D which limits its application to 3D convective zones in stellar interiors (e.g., [9]). Moreover, the acceleration of convective fluid parcels do not instantaneously become zero at the boundary of convective and radiative regions, meaning that MLT is insufficient to parametrise mixing in 1D at such boundaries.
There has been tremendous effort in calibrating MLT using observations, which has been hugely successful using helioseismology—the study of the Sun’s interior from its resonant pulsation frequencies [10,11,12]. The study of the interior physics using pulsations in stars other than the Sun is called asteroseismology [11,13]. This field of stellar astrophysics has greatly expanded in recent years thanks to high-precision space photometry, such as from the Kepler mission [14,15]. It has provided tight constraints on the masses, radii, and ages of thousands of stars [16,17,18,19,20]. Furthermore, it has also calibrated their interior rotation and mixing profiles, and angular momentum transport mechanisms [21,22,23,24,25,26,27,28,29].
Asteroseismology combined with additional observables from spectroscopy and interferometry have also been able to provide constraints on MLT [30,31,32]. However, this remains a challenging endeavour that can only be achieved as of today for the brightest low-mass stars. A direct observational calibration of MLT for interior convection is currently beyond reach, but asteroseismology is able to provide constraints on this important physical ingredient of stellar structure. For example, asteroseismology can provide an empirical constraint on the mass and radius of convective cores in intermediate-mass [33,34,35,36,37,38,39,40,41] and high-mass stars [42,43,44,45,46,47,48].

3. Chapter 2: Opacities and Atomic Diffusion

When radiation passes through a gas, photons are removed by scattering and absorption with the efficiency coefficient of these processes termed opacity. In reality, a star’s opacity is a function of its chemical composition and the thermodynamic state of its constituent gas. Thus, opacity influences how stars are formed in the earliest phases of their lives, because of the interaction between photons and atoms, and also how stars evolve and end their lives. For example, diffusion processes, such as radiative levitation, depend on stellar opacity mix and transport chemical species within stellar interiors. Therefore, such processes are important contributors to uncertainties when inferring stellar ages and chemical abundances (see, e.g., [49,50]).
Opacity data are an important ingredient to essentially all forms of stellar structure modelling and all stars across the HR diagram, and remain a primary contributor to the uncertainty of the heavy element content of our own Sun [51]. Stellar evolution models typically include and thus implicitly depend on an opacity table with a chosen number of specific chemical elements as main contributors, and a fixed chemical mixture for heavy elements (e.g., C, N and O). The construction of precise and accurate opacity tables for use within stellar physics presents a herculean task within the atomic physics community [52,53,54,55], with which stellar astrophysics has great synergy.
Nuclear fusion, chemical mixing and atomic diffusion processes redistribute sources of opacity within a star, with the different processes taking place on different time scales. Since a full calculation of stellar opacity taking such processes into account is computationally expensive, especially for each time-step of a stellar evolution model, a common simplification is to calculate a mean opacity averaged across all wavelengths. A commonly used approach is to calculate the Rosseland mean opacity, which is a harmonic weighted average over all chemical species. Moreover, the full implementation of all atomic diffusion processes, which are inherently chemical–element specific, in evolutionary models can be computationally demanding, so not all of them are always included because of computation time arguments. Such a numerical simplification bears validity that depends on the type of star being studied.
For example, the Rosseland mean opacities can no longer be employed in the outermost layers of the most massive stars since the effective bandwidth of spectral lines are broadened by an accelerating velocity field from their line-driven winds. In this regime, the flux-weighted mean opacity including all relevant ions needs to be considered (see, e.g., [56,57]). Recent work has demonstrated the divergence in applicability of Rosseland mean opacities and conclude that hydrodynamical simulations in non-local thermodynamic equilibrium (NLTE) are needed to use flux-weighted mean opacities correctly [56].
On the other hand, for accurate opacity profiles, spectroscopic surface abundances and ages, etc., of stars across the HR diagram, all diffusion (and mixing) mechanisms should be considered in structure and evolution models when comparing to observations. Moreover, an investigation of different opacity tables and their impact on stellar structure is a valuable exercise. For example, stellar structure differences caused by different opacity tables with and without diffusion processes are known to significantly impact the location of pulsation instability regions in the HR diagram [58,59,60,61], which can be probed using asteroseismology (see, e.g., [62,63]).
In Chapter 2 of this Special Issue, Alecian and Deal (2023) [64] provide a detailed discussion of opacities and atomic diffusion inside stars. This includes a comparison of the different opacity tables available in the literature for stellar modelling, their domains of applicability, and impact on opacity profiles in the context of providing accurate stellar structure and evolution models.

4. Chapter 3: Magnetism in High-Mass Stars

Despite its importance and impact on stellar structure, magnetic fields are an important, yet typically missing ingredient in evolution models. Observational constraints on the strength and geometry of magnetic fields, both at the surface and in the deep interiors, are generally lacking for the vast majority of stars.
For low-mass stars like the Sun, their large convective envelopes during the main sequence produce weak global magnetic fields, but strong local fields in the form of sunspots through a dynamo process. The reader is referred to literature reviews of stellar magnetism in low-mass stars [65,66,67]. Although not explicitly covered in depth in this Special Issue, the consequences of magnetic fields, and their interplay with rotation and convection in stellar envelopes and exoplanetary systems are critical for our understanding of low-mass stars. For example, processes such as mixing and angular momentum evolution depend in part on the presence of a magnetic field [68]. Moreover, the analysis of co-rotating magnetic spots at the photospheres of low-mass stars leads to detectable signatures of rotational modulation, which allows the rotation period of such stars to be measured. In turn, the co-evolution of rotation and magnetism as a function of time gave rise to gyrochronology—the idea that stellar ages can be inferred from rotation periods—first recognized as the Skumanich law [69] and later refined into a tool [70]. On the other hand, pulsations in low-mass stars allow constraints on the strength and geometry of interior magnetic fields [71,72,73,74]. The observational direct or indirect inference of magnetic fields in evolved low-mass stars, such as red giants, is also an exciting and novel prospect.
On the other hand, the origin and consequences of magnetic fields in massive stars are less understood compared to low-mass stars. In the last couple of decades, there has been a large effort and major progress in detecting surface magnetic fields in early-type stars (i.e., spectral types O and B). Ground-based surveys using spectropolarimetry such as the Magnetism in Massive Stars (MiMeS) [75] and Binarity and Magnetic Interactions in various classes of Stars (BinaMIcS) [76] consortia established that large-scale magnetic fields with strengths ranging between approximately tens of Gauss and tens of kG, which are predominantly dipolar in topology, exist at the surface of about 10% of massive main-sequence stars. However, the origin of such strong and globally organised magnetic fields, whether they are of fossil origin (e.g., [65]) or are a result of stellar mergers (e.g., [77]), remains yet to be generally established. Nor is it known how such fields evolve throughout a star’s lifetime, because a single surface measurement defines only one epoch during a star’s evolution. What is clear, however, is that the presence of a (strong) magnetic field inside a massive star has a significant impact on its interior rotation and thus mixing profiles compared to a non-magnetic star. Thus, the evolution of magnetic massive stars significantly differ to non-magnetic stars (see [78,79,80]).
Of course, almost all constraints of magnetic fields for massive stars are limited to their surface properties (e.g., strength and geometry) when using spectropolarimetry. The most promising method to diagnose the interior magnetic field properties and their impact on stellar evolution arise from magneto-asteroseismology—the study of pulsations and their interaction with magnetic fields. First applications of this technique suggest that magnetic and non-magnetic massive stars have different interior mixing properties, with evidence for the presence of a magnetic field suppressing mixing in the near-core region of massive stars [45,81]. Most importantly, a novel and recent proof-of-concept study combining magneto-asteroseismology with numerical magnetohydrodynamical simulations delivered the first inference of the near-core magnetic field strength in the main-sequence early-type star HD 43317 [82], which is currently the only confirmed strongly magnetic early-type star pulsating in gravity modes to have undergone asteroseismic modelling [81,83,84,85].
In the current era of large-scale time-series photometric surveys, such as Kepler [14,15], TESS [86] and soon also PLATO [87], delivering years-long high-precision light curves and pulsation frequencies for tens of thousands of stars, the break-through application of magneto-asteroseismology to many more massive stars has just begun. The recent advances in theoretical, numerical and observational work focusing on magnetic fields in massive stars is described in Chapter 3 of this Special Issue by Keszthelyi (2023) [88].

5. Chapter 4: Multi-D Simulations of Core Convection

In addition to traditional observational techniques and comparison to evolution models, complementary synthetic observables predicted and inferred from numerical simulations are also extremely valuable when studying the physics of stellar structure.
The long time scales associated with nuclear burning processes prohibit numerical simulations of convection covering the duration of stellar evolution. However, simulations studying dynamical processes comparable to hydrostatic timescales are much more feasible. Therefore, simulations of relatively rapid processes such as convection and pulsations, which are perturbations to the equilibrium structure, yield prescriptions for stellar structure that can be implemented into 1D stellar evolution models. Moreover, evolution models necessarily take time steps that are orders of magnitude larger than the typical time scales of convection in most stars, and thus seek to include only the time-averaged net effects of dynamical processes such as convection, mixing and wave generation. Numerical simulations are a unique method for testing the validity of assumptions in stellar evolution models, and provide improved prescriptions where needed (see, e.g., [89,90,91,92]).
Owing to the importance of convection, and in particular core convection in main-sequence massive stars, there has been significant progress in using multi-dimensional numerical simulations to study the impact of core convection in the last several years. The complexity of large-scale multi-dimensional numerical simulations of stellar interiors cannot be understated, and owing to choices and subtleties of the different numerical codes available, direct one-to-one comparisons of results are not always possible. Recently, the first detailed comparison of several numerical codes to solve the same hydrodynamical problem was published [93]. This is a laudable effort and emphasises the need to perform such consistency checks when running and comparing codes, and when comparing synthetic observables to observations.
In Chapter 4 of this Special Issue, Lecoanet and Edelmann (2023) [94] explore the literature of multidimensional simulations of core convection in main-sequence stars. In addition to providing a firm mathematical grounding in the physics, they also discuss and elucidate the differences and similarities in various numerical setups and their implications for the resultant synthetic observables. Given their importance for mixing and angular momentum transport within stellar interiors, the generation and propagation of waves excited by turbulent convection in the core of massive stars is discussed in detail. Moreover, the importance of combining perspectives from the observational and hydrodynamical communities is perhaps best evidenced by the recent interest in understanding the physical origin of the ubiquitous stochastic low-frequency (SLF) variability in massive stars [95,96,97,98]. For example, numerical simulations and theoretical studies have proposed gravity waves excited by the convective core, and/or the dynamics of massive star envelopes and atmospheres as plausible mechanisms to explain SLF variability (see, e.g., [92,99,100,101,102,103,104,105,106,107]).

6. Chapter 5: Convective Boundary Mixing in Main-Sequence Stars

In addition to an incomplete theory of convection and how to implement it in 1D evolutionary models, the specific issue of the amount and shape of the mixing profile at the boundary of convective and radiative zones remains a primary unresolved uncertainty in stellar structure theory (e.g., [91,108]). This problem, known as convective boundary mixing (CBM), cannot be derived from first principles and encompasses several possible physical scenarios. One mechanism is convective penetration in which the dynamics of convective motions significantly extend into an overlying radiative zone causing an extended convection zone [109,110,111,112]. Additionally, mixing at the convective–radiative boundary can give rise to increased chemical entrainment, which alters the chemical composition in the zone just beyond the convective boundary in the radiative zone.
There are two main techniques that have made significant strides in our understanding of CBM: (i) hydrodynamical simulations and (ii) observations. For the former, the ability to vary parameters within different numerical setups allows one to study the fundamental physics of convection, and moreover the physics of the boundary layer of convective and radiative regions. This then allows physical prescriptions from multi-dimensional numerical simulations to be implemented in 1D evolution models (see, e.g., [91,111]).
In terms of observational constraints, the comparison of various observables to theoretical predictions from (evolution) models reveal discrepancies in the physics of convection and thus also CBM. For example, spectroscopy, binary modelling and asteroseismology have all independently highlighted not only the importance of CBM in stellar structure and evolution, but also have been able to quantify, to differing levels of precision, the shape of the mixing profile of the CBM region [113,114,115]. In particular, gravity-mode asteroseismology offers a route to precise calibration of the size and shape of CBM owing to the unique probing power of such pulsations to the convective–radiative boundary region in main-sequence early-type stars (e.g., [27,33,37]). In Chapter 5, Anders and Pedersen (2023) [116] discuss the recent advances in combining knowledge from state-of-the-art hydrodynamical simulations and observations of CBM, with a particular focus on main-sequence stars as these are the most common in the Universe.

7. Chapter 6: Radiation-Dominated Envelopes of Massive Stars

While convection is relevant in most stars, the uncertainties in energy transport are not nearly as large as for the outer layers of the most massive stars. In standard 1D stellar evolution models, stars close to the Eddington limit, which is the maximum luminosity a star can have such that outward radiation balances the force of gravity acting inward, stellar models develop rather peculiar structures.
For example, an additional source of opacity from, for example, iron group elements can make massive stars exceed the Eddington limit in their outer layers, making convection inefficient and leads to hugely inflated envelopes with density inversions (see Figure 1 from [117]) in these super-adiabatic layers. Perhaps efficient convection can solve this particular super-adiabaticity problem. For instance, in the 1D stellar evolution code MESA (i.e., Modules for Experiments in Stellar Astrophysics [60,118,119,120,121,122]) efficient convection is artificially implemented using the so-called MLT + + functionality. It remains yet uncertain what happens in Nature. However, alternative solutions involve the creation of porous structures [123,124,125], or the launch of a radiation-driven wind for stars close to the Eddington limit [126,127,128].
In Chapter 6 of this Special Issue, Jiang (2023) [129] discusses the state-of-the art for 3D radiation-dominated envelopes. In reality, the envelopes and stellar winds probably interact with one another, either by winds removing the inflated layer [130], or by other wind–envelope interactions, which may play a role in the S Doradus variability of Luminous Blue Variables [131]. Future 3D envelope and wind simulations are required to solve the envelope inflation question. The implications are huge because inflated stars are thought to be luminous but cool, whereas a reduction in the influence of inflation would make very massive stars luminous and hot, thereby producing copious amounts of ionising radiation.

8. Discussion and Perspectives

In our introductory chapter of this Special Issue on ‘The Structure and Evolution of Stars’, we have provided a flavour of the important aspects of each subsequent chapter. Of course, this Special Issue does not provide an exhaustive discussion of all important aspects of stellar structure theory, but does provide an overview of the topics that have undergone major progress in the last decade and for which significant advancement is expected in the years to come.
A major factor driving improvement has been the recent availability of pristine time-series photometric data from space missions, such as Kepler and TESS. These data have allowed ultra-precise measurements of stellar interiors to be made and confronted with state-of-the-art models. For example, inference of interior rotation profiles [68], the size of convective cores [37,48], efficiency of various mixing processes [27], and even magnetic field strength and geometry [74,81,82] are now within reach for a large number of stars across the HR diagram thanks to asteroseismology [26]. With the anticipation of the approval of a third extended mission for TESS and the upcoming PLATO mission, we expect asteroseismology to go from strength to strength in the next several years.
Moreover, it is the unique synergy of observations, numerical simulations and evolutionary modelling that gives rise to the tightest constraints on stellar interiors, and thus an improvement in our understanding of the physical processes truly at work. In preparing this Special Issue, we have paid particular attention in inviting researchers whose expertise lie at the intersection of these three circles within the Venn diagram of stellar astrophysics in hopes of helping bridge these valuable communities.

Author Contributions

All authors are guest editors of the Special Issue entitled ‘The Structure and Evolution of Stars’ and contributed to the writing of this chapter, as well as editing the other chapters in this Special Issue as guest editors. All authors have read and agreed to the published version of the manuscript.

Funding

D.M.B. gratefully acknowledges funding from the Research Foundation Flanders (FWO) by means of a senior postdoctoral fellowship (grant agreement No. 1286521N), and an FWO long stay travel grant (agreement No. V411621N) that supported his stay at the Kavli Institute for Theoretical Physics (KITP), University of California Santa Barbara (UCSB), USA between October and December 2021. J.S.V. gratefully acknowledges support from STFC via grant ST/V000233/1. This work was supported in part by the National Science Foundation (NSF) under Grant Number NSF PHY-1748958.

Data Availability Statement

Not applicable.

Acknowledgments

The authors are grateful to the staff and scientists at the Kavli Institute for Theoretical Physics (KITP), University of California Santa Barbara (UCSB), USA, and to the organisers of the ‘Probes of Transport in Stars’ program between October and December 2021, at which the first conception of this Special Issue was synthesised.

Conflicts of Interest

The authors declare no conflict of interest.

Abbreviations

The following abbreviations are used in this manuscript:
BinaMIcSBinarity and Magnetic Interactions in various classes of Stars
CBMConvective Boundary Mixing
HRHertzsprung–Russell
NLTENon-Local Thermodynamic Equilibrium
MiMeSMagnetism in Massive Stars
MLTMixing Length Theory
SLFStochastic Low Frequency

References

  1. Maeder, A.; Meynet, G. The Evolution of Rotating Stars. Annu. Rev. Astron. Astrophys. 2000, 38, 143–190. [Google Scholar] [CrossRef]
  2. Maeder, A. Physics, Formation and Evolution of Rotating Stars; Springer: Berlin/Heidelberg, Germany, 2009. [Google Scholar] [CrossRef]
  3. Langer, N. Presupernova Evolution of Massive Single and Binary Stars. Annu. Rev. Astron. Astrophys. 2012, 50, 107–164. [Google Scholar] [CrossRef]
  4. Espinosa Lara, F.; Rieutord, M. Gravity darkening in rotating stars. Astron. Astrophys. 2011, 533, A43. [Google Scholar] [CrossRef]
  5. Espinosa Lara, F.; Rieutord, M. Self-consistent 2D models of fast-rotating early-type stars. Astron. Astrophys. 2013, 552, A35. [Google Scholar] [CrossRef]
  6. Rieutord, M.; Espinosa Lara, F.; Putigny, B. An algorithm for computing the 2D structure of fast rotating stars. J. Comput. Phys. 2016, 318, 277–304. [Google Scholar] [CrossRef]
  7. Joyce, M.; Tayar, J. A Review of the Mixing Length Theory of Convection in 1D Stellar Modeling. Galaxies 2023, 11, 75. [Google Scholar] [CrossRef]
  8. Böhm-Vitense, E. Über die Wasserstoffkonvektionszone in Sternen verschiedener Effektivtemperaturen und Leuchtkräfte. Mit 5 Textabbildungen. Z. Astrophys. 1958, 46, 108. [Google Scholar]
  9. Arnett, W.D.; Meakin, C.; Viallet, M.; Campbell, S.W.; Lattanzio, J.C.; Mocák, M. Beyond Mixing-length Theory: A Step toward 321D. Astrophys. J. 2015, 809, 30. [Google Scholar] [CrossRef]
  10. Christensen-Dalsgaard, J. Helioseismology. Rev. Mod. Phys. 2002, 74, 1073–1129. [Google Scholar] [CrossRef]
  11. Aerts, C.; Christensen-Dalsgaard, J.; Kurtz, D.W. Asteroseismology; Springer: Berlin/Heidelberg, Germany, 2010. [Google Scholar]
  12. Basu, S. Global seismology of the Sun. Living Rev. Sol. Phys. 2016, 13, 2. [Google Scholar] [CrossRef]
  13. Kurtz, D.W. Asteroseismology Across the Hertzsprung-Russell Diagram. Annu. Rev. Astron. Astrophys. 2022, 60, 31–71. [Google Scholar] [CrossRef]
  14. Borucki, W.J.; Koch, D.; Basri, G.; Batalha, N.; Brown, T.; Caldwell, D.; Caldwell, J.; Christensen-Dalsgaard, J.; Cochran, W.D.; DeVore, E.; et al. Kepler Planet-Detection Mission: Introduction and First Results. Science 2010, 327, 977–980. [Google Scholar] [CrossRef] [PubMed]
  15. Koch, D.G.; Borucki, W.J.; Basri, G.; Batalha, N.M.; Brown, T.M.; Caldwell, D.; Christensen-Dalsgaard, J.; Cochran, W.D.; DeVore, E.; Dunham, E.W.; et al. Kepler Mission Design, Realized Photometric Performance, and Early Science. Astrophys. J. Lett. 2010, 713, L79–L86. [Google Scholar] [CrossRef]
  16. Chaplin, W.J.; Miglio, A. Asteroseismology of Solar-Type and Red-Giant Stars. Annu. Rev. Astron. Astrophys. 2013, 51, 353–392. [Google Scholar] [CrossRef]
  17. Hekker, S.; Christensen-Dalsgaard, J. Giant star seismology. Astron. Astrophys. Rev. 2017, 25, 1. [Google Scholar] [CrossRef]
  18. Silva Aguirre, V.; Lund, M.N.; Antia, H.M.; Ball, W.H.; Basu, S.; Christensen-Dalsgaard, J.; Lebreton, Y.; Reese, D.R.; Verma, K.; Casagrande, L.; et al. Standing on the Shoulders of Dwarfs: The Kepler Asteroseismic LEGACY Sample. II.Radii, Masses, and Ages. Astrophys. J. 2017, 835, 173. [Google Scholar] [CrossRef]
  19. García, R.A.; Ballot, J. Asteroseismology of solar-type stars. Living Rev. Sol. Phys. 2019, 16, 4. [Google Scholar] [CrossRef]
  20. Bowman, D.M. Asteroseismology of high-mass stars: New insights of stellar interiors with space telescopes. Front. Astron. Space Sci. 2020, 7, 70. [Google Scholar] [CrossRef]
  21. Eggenberger, P.; Montalbán, J.; Miglio, A. Angular momentum transport in stellar interiors constrained by rotational splittings of mixed modes in red giants. Astron. Astrophys. 2012, 544, L4. [Google Scholar] [CrossRef]
  22. Eggenberger, P.; Lagarde, N.; Miglio, A.; Montalbán, J.; Ekström, S.; Georgy, C.; Meynet, G.; Salmon, S.; Ceillier, T.; García, R.A.; et al. Constraining the efficiency of angular momentum transport with asteroseismology of red giants: The effect of stellar mass. Astron. Astrophys. 2017, 599, A18. [Google Scholar] [CrossRef]
  23. Eggenberger, P.; Deheuvels, S.; Miglio, A.; Ekström, S.; Georgy, C.; Meynet, G.; Lagarde, N.; Salmon, S.; Buldgen, G.; Montalbán, J.; et al. Asteroseismology of evolved stars to constrain the internal transport of angular momentum. I. Efficiency of transport during the subgiant phase. Astron. Astrophys. 2019, 621, A66. [Google Scholar] [CrossRef]
  24. Eggenberger, P.; den Hartogh, J.W.; Buldgen, G.; Meynet, G.; Salmon, S.J.A.J.; Deheuvels, S. Asteroseismology of evolved stars to constrain the internal transport of angular momentum. II. Test of a revised prescription for transport by the Tayler instability. Astron. Astrophys. 2019, 631, L6. [Google Scholar] [CrossRef]
  25. Li, G.; Van Reeth, T.; Bedding, T.R.; Murphy, S.J.; Antoci, V.; Ouazzani, R.M.; Barbara, N.H. Gravity-mode period spacings and near-core rotation rates of 611 ɤ Doradus stars with Kepler. Mon. Not. R. Astron. Soc. 2020, 491, 3586–3605. [Google Scholar] [CrossRef]
  26. Aerts, C. Probing the interior physics of stars through asteroseismology. Rev. Mod. Phys. 2021, 93, 015001. [Google Scholar] [CrossRef]
  27. Pedersen, M.G.; Aerts, C.; Pápics, P.I.; Michielsen, M.; Gebruers, S.; Rogers, T.M.; Molenberghs, G.; Burssens, S.; Garcia, S.; Bowman, D.M. Internal mixing of rotating stars inferred from dipole gravity modes. Nat. Astron. 2021, 5, 715–722. [Google Scholar] [CrossRef]
  28. Pedersen, M.G. Internal Rotation and Inclinations of Slowly Pulsating B Stars: Evidence of Interior Angular Momentum Transport. Astrophys. J. 2022, 940, 49. [Google Scholar] [CrossRef]
  29. Mombarg, J.S.G. Calibrating angular momentum transport in intermediate-mass stars from gravity-mode asteroseismology. arXiv 2023, arXiv:2306.17211. [Google Scholar] [CrossRef]
  30. Tayar, J.; Somers, G.; Pinsonneault, M.H.; Stello, D.; Mints, A.; Johnson, J.A.; Zamora, O.; García-Hernández, D.A.; Maraston, C.; Serenelli, A.; et al. The Correlation between Mixing Length and Metallicity on the Giant Branch: Implications for Ages in the Gaia Era. Astrophys. J. 2017, 840, 17. [Google Scholar] [CrossRef]
  31. Joyce, M.; Chaboyer, B. Not All Stars Are the Sun: Empirical Calibration of the Mixing Length for Metal-poor Stars Using One-dimensional Stellar Evolution Models. Astrophys. J. 2018, 856, 10. [Google Scholar] [CrossRef]
  32. Joyce, M.; Chaboyer, B. Classically and Asteroseismically Constrained 1D Stellar Evolution Models of α Centauri A and B Using Empirical Mixing Length Calibrations. Astrophys. J. 2018, 864, 99. [Google Scholar] [CrossRef]
  33. Moravveji, E.; Aerts, C.; Pápics, P.I.; Triana, S.A.; Vandoren, B. Tight asteroseismic constraints on core overshooting and diffusive mixing in the slowly rotating pulsating B8.3V star KIC 10526294. Astron. Astrophys. 2015, 580, A27. [Google Scholar] [CrossRef]
  34. Moravveji, E.; Townsend, R.H.D.; Aerts, C.; Mathis, S. Sub-inertial Gravity Modes in the B8V Star KIC 7760680 Reveal Moderate Core Overshooting and Low Vertical Diffusive Mixing. Astrophys. J. 2016, 823, 130. [Google Scholar] [CrossRef]
  35. Deheuvels, S.; Brandão, I.; Silva Aguirre, V.; Ballot, J.; Michel, E.; Cunha, M.S.; Lebreton, Y.; Appourchaux, T. Measuring the extent of convective cores in low-mass stars using Kepler data: Toward a calibration of core overshooting. Astron. Astrophys. 2016, 589, A93. [Google Scholar] [CrossRef]
  36. Bellinger, E.P.; Basu, S.; Hekker, S.; Christensen-Dalsgaard, J. Testing Stellar Evolution with Asteroseismic Inversions of a Main-sequence Star Harboring a Small Convective Core. Astrophys. J. 2019, 885, 143. [Google Scholar] [CrossRef]
  37. Mombarg, J.S.G.; Van Reeth, T.; Pedersen, M.G.; Molenberghs, G.; Bowman, D.M.; Johnston, C.; Tkachenko, A.; Aerts, C. Asteroseismic masses, ages, and core properties of ɤ Doradus stars using gravito-inertial dipole modes and spectroscopy. Mon. Not. R. Astron. Soc. 2019, 485, 3248–3263. [Google Scholar] [CrossRef]
  38. Mombarg, J.S.G.; Dotter, A.; Van Reeth, T.; Tkachenko, A.; Gebruers, S.; Aerts, C. Asteroseismic Modeling of Gravity Modes in Slowly Rotating A/F Stars with Radiative Levitation. Astrophys. J. 2020, 895, 51. [Google Scholar] [CrossRef]
  39. Mombarg, J.S.G.; Van Reeth, T.; Aerts, C. Constraining stellar evolution theory with asteroseismology of ɤ Doradus stars using deep learning. Stellar masses, ages, and core-boundary mixing. Astron. Astrophys. 2021, 650, A58. [Google Scholar] [CrossRef]
  40. Michielsen, M.; Aerts, C.; Bowman, D.M. Probing the temperature gradient in the core boundary layer of stars with gravito-inertial modes. The case of KIC 7760680. Astron. Astrophys. 2021, 650, A175. [Google Scholar] [CrossRef]
  41. Pedersen, M.G. On the Diversity of Mixing and Helium Core Masses of B-type Dwarfs from Gravity-mode Asteroseismology. Astrophys. J. 2022, 930, 94. [Google Scholar] [CrossRef]
  42. Dupret, M.A.; Thoul, A.; Scuflaire, R.; Daszyńska-Daszkiewicz, J.; Aerts, C.; Bourge, P.O.; Waelkens, C.; Noels, A. Asteroseismology of the β Cep star HD 129929. II. Seismic constraints on core overshooting, internal rotation and stellar parameters. Astron. Astrophys. 2004, 415, 251–257. [Google Scholar] [CrossRef]
  43. Mazumdar, A.; Briquet, M.; Desmet, M.; Aerts, C. An asteroseismic study of the β Cephei star β Canis Majoris. Astron. Astrophys. 2006, 459, 589–596. [Google Scholar] [CrossRef]
  44. Briquet, M.; Morel, T.; Thoul, A.; Scuflaire, R.; Miglio, A.; Montalbán, J.; Dupret, M.A.; Aerts, C. An asteroseismic study of the β Cephei star θ Ophiuchi: Constraints on global stellar parameters and core overshooting. Mon. Not. R. Astron. Soc. 2007, 381, 1482–1488. [Google Scholar] [CrossRef]
  45. Briquet, M.; Neiner, C.; Aerts, C.; Morel, T.; Mathis, S.; Reese, D.R.; Lehmann, H.; Costero, R.; Echevarria, J.; Handler, G.; et al. Multisite spectroscopic seismic study of the β Cep star V2052 Ophiuchi: Inhibition of mixing by its magnetic field. Mon. Not. R. Astron. Soc. 2012, 427, 483–493. [Google Scholar] [CrossRef]
  46. Salmon, S.J.A.J.; Eggenberger, P.; Montalbán, J.; Miglio, A.; Noels, A.; Buldgen, G.; Moyano, F.; Meynet, G. Asteroseismology of β Cephei stars: The stellar inferences tested in hare and hound exercises. Astron. Astrophys. 2022, 659, A142. [Google Scholar] [CrossRef]
  47. Salmon, S.J.A.J.; Moyano, F.D.; Eggenberger, P.; Haemmerlé, L.; Buldgen, G. Backtracing the internal rotation history of the β Cep star HD 129929. Astron. Astrophys. 2022, 664, L1. [Google Scholar] [CrossRef]
  48. Burssens, S.; Bowman, D.M.; Michielsen, M.; Simón-Díaz, S.; Aerts, C.; Vanlaer, V.; Banyard, G.; Nardetto, N.; Townsend, R.H.D.; Handler, G.; et al. A calibration point for stellar evolution from massive star asteroseismology. Nat. Astron. 2023, 7, 913–930. [Google Scholar] [CrossRef]
  49. Dotter, A.; Conroy, C.; Cargile, P.; Asplund, M. The Influence of Atomic Diffusion on Stellar Ages and Chemical Tagging. Astrophys. J. 2017, 840, 99. [Google Scholar] [CrossRef]
  50. Semenova, E.; Bergemann, M.; Deal, M.; Serenelli, A.; Hansen, C.J.; Gallagher, A.J.; Bayo, A.; Bensby, T.; Bragaglia, A.; Carraro, G.; et al. The Gaia-ESO survey: 3D NLTE abundances in the open cluster NGC 2420 suggest atomic diffusion and turbulent mixing are at the origin of chemical abundance variations. Astron. Astrophys. 2020, 643, A164. [Google Scholar] [CrossRef]
  51. Asplund, M.; Grevesse, N.; Sauval, A.J.; Scott, P. The Chemical Composition of the Sun. Annu. Rev. Astron. Astrophys. 2009, 47, 481–522. [Google Scholar] [CrossRef]
  52. Iglesias, C.A.; Rogers, F.J. Radiative Opacities for Carbon- and Oxygen-rich Mixtures. Astrophys. J. 1993, 412, 752. [Google Scholar] [CrossRef]
  53. Iglesias, C.A.; Rogers, F.J. Updated Opal Opacities. Astrophys. J. 1996, 464, 943. [Google Scholar] [CrossRef]
  54. Seaton, M.J.; Yan, Y.; Mihalas, D.; Pradhan, A.K. Opacities for Stellar Envelopes. Mon. Not. R. Astron. Soc. 1994, 266, 805. [Google Scholar] [CrossRef]
  55. Seaton, M.J. Opacity Project data on CD for mean opacities and radiative accelerations. Mon. Not. R. Astron. Soc. 2005, 362, L1–L3. [Google Scholar] [CrossRef]
  56. Sander, A.A.C.; Vink, J.S.; Hamann, W.R. Driving classical Wolf-Rayet winds: A Γ- and Z-dependent mass-loss. Mon. Not. R. Astron. Soc. 2020, 491, 4406–4425. [Google Scholar] [CrossRef]
  57. Poniatowski, L.G.; Kee, N.D.; Sundqvist, J.O.; Driessen, F.A.; Moens, N.; Owocki, S.P.; Gayley, K.G.; Decin, L.; de Koter, A.; Sana, H. Method and new tabulations for flux-weighted line opacity and radiation line force in supersonic media. Astron. Astrophys. 2022, 667, A113. [Google Scholar] [CrossRef]
  58. Pamyatnykh, A.A. Pulsational Instability Domains in the Upper Main Sequence. Acta Astron. 1999, 49, 119–148. [Google Scholar]
  59. Walczak, P.; Fontes, C.J.; Colgan, J.; Kilcrease, D.P.; Guzik, J.A. Wider pulsation instability regions for β Cephei and SPB stars calculated using new Los Alamos opacities. Astron. Astrophys. 2015, 580, L9. [Google Scholar] [CrossRef]
  60. Paxton, B.; Marchant, P.; Schwab, J.; Bauer, E.B.; Bildsten, L.; Cantiello, M.; Dessart, L.; Farmer, R.; Hu, H.; Langer, N.; et al. Modules for Experiments in Stellar Astrophysics (MESA): Binaries, Pulsations, and Explosions. Astrophys. J. Supp. 2015, 220, 15. [Google Scholar] [CrossRef]
  61. Moravveji, E. The impact of enhanced iron opacity on massive star pulsations: Updated instability strips. Mon. Not. R. Astron. Soc. 2016, 455, L67–L71. [Google Scholar] [CrossRef]
  62. Turcotte, S.; Richer, J.; Michaud, G.; Christensen-Dalsgaard, J. The effect of diffusion on pulsations of stars on the upper main sequence—δ Scuti and metallic A stars. Astron. Astrophys. 2000, 360, 603–616. [Google Scholar]
  63. Mombarg, J.S.G.; Dotter, A.; Rieutord, M.; Michielsen, M.; Van Reeth, T.; Aerts, C. Predictions for Gravity-mode Periods and Surface Abundances in Intermediate-mass Dwarfs from Shear Mixing and Radiative Levitation. Astrophys. J. 2022, 925, 154. [Google Scholar] [CrossRef]
  64. Alecian, G.; Deal, M. Opacities and Atomic Diffusion. Galaxies 2023, 11, 62. [Google Scholar] [CrossRef]
  65. Borra, E.F.; Landstreet, J.D.; Mestel, L. Magnetic stars. Annu. Rev. Astron. Astrophys. 1982, 20, 191–220. [Google Scholar] [CrossRef]
  66. Donati, J.F.; Landstreet, J.D. Magnetic Fields of Nondegenerate Stars. Annu. Rev. Astron. Astrophys. 2009, 47, 333–370. [Google Scholar] [CrossRef]
  67. Kochukhov, O. Magnetic fields of M dwarfs. Astron. Astrophys. Rev. 2021, 29, 1. [Google Scholar] [CrossRef]
  68. Aerts, C.; Mathis, S.; Rogers, T.M. Angular Momentum Transport in Stellar Interiors. Annu. Rev. Astron. Astrophys. 2019, 57, 35–78. [Google Scholar] [CrossRef]
  69. Skumanich, A. Time Scales for CA II Emission Decay, Rotational Braking, and Lithium Depletion. Astrophys. J. 1972, 171, 565. [Google Scholar] [CrossRef]
  70. Barnes, S.A. Ages for Illustrative Field Stars Using Gyrochronology: Viability, Limitations, and Errors. Astrophys. J. 2007, 669, 1167–1189. [Google Scholar] [CrossRef]
  71. Fuller, J.; Cantiello, M.; Stello, D.; Garcia, R.A.; Bildsten, L. Asteroseismology can reveal strong internal magnetic fields in red giant stars. Science 2015, 350, 423–426. [Google Scholar] [CrossRef]
  72. Bugnet, L.; Prat, V.; Mathis, S.; Astoul, A.; Augustson, K.; García, R.A.; Mathur, S.; Amard, L.; Neiner, C. Magnetic signatures on mixed-mode frequencies. I. An axisymmetric fossil field inside the core of red giants. Astron. Astrophys. 2021, 650, A53. [Google Scholar] [CrossRef]
  73. Bugnet, L. Magnetic signatures on mixed-mode frequencies. II. Period spacings as a probe of the internal magnetism of red giants. Astron. Astrophys. 2022, 667, A68. [Google Scholar] [CrossRef]
  74. Li, G.; Deheuvels, S.; Ballot, J.; Lignières, F. Magnetic fields of 30 to 100 kG in the cores of red giant stars. Nature 2022, 610, 43–46. [Google Scholar] [CrossRef]
  75. Wade, G.A.; Neiner, C.; Alecian, E.; Grunhut, J.H.; Petit, V.; de Batz, B.; Bohlender, D.A.; Cohen, D.H.; Henrichs, H.F.; Kochukhov, O.; et al. The MiMeS survey of magnetism in massive stars: Introduction and overview. Mon. Not. R. Astron. Soc. 2016, 456, 2–22. [Google Scholar] [CrossRef]
  76. Alecian, E.; Neiner, C.; Wade, G.A.; Mathis, S.; Bohlender, D.; Cébron, D.; Folsom, C.; Grunhut, J.; Le Bouquin, J.B.; Petit, V.; et al. The BinaMIcS project: Understanding the origin of magnetic fields in massive stars through close binary systems. In New Windows on Massive Stars, Proceedings of the IAU Symposium, Geneva, Switzerland, 23–27 June 2014; Meynet, G., Georgy, C., Groh, J., Stee, P., Eds.; Cambridge University Press: Cambridge, UK, 2015; Volume 307, pp. 330–335. [Google Scholar] [CrossRef]
  77. Schneider, F.R.N.; Ohlmann, S.T.; Podsiadlowski, P.; Röpke, F.K.; Balbus, S.A.; Pakmor, R.; Springel, V. Stellar mergers as the origin of magnetic massive stars. Nature 2019, 574, 211–214. [Google Scholar] [CrossRef]
  78. Keszthelyi, Z.; Meynet, G.; Georgy, C.; Wade, G.A.; Petit, V.; David-Uraz, A. The effects of surface fossil magnetic fields on massive star evolution: I. Magnetic field evolution, mass-loss quenching, and magnetic braking. Mon. Not. R. Astron. Soc. 2019, 485, 5843–5860. [Google Scholar] [CrossRef]
  79. Keszthelyi, Z.; Meynet, G.; Shultz, M.E.; David-Uraz, A.; ud-Doula, A.; Townsend, R.H.D.; Wade, G.A.; Georgy, C.; Petit, V.; Owocki, S.P. The effects of surface fossil magnetic fields on massive star evolution—II. Implementation of magnetic braking in MESA and implications for the evolution of surface rotation in OB stars. Mon. Not. R. Astron. Soc. 2020, 493, 518–535. [Google Scholar] [CrossRef]
  80. Keszthelyi, Z.; Meynet, G.; Martins, F.; de Koter, A.; David-Uraz, A. The effects of surface fossil magnetic fields on massive star evolution—III. The case of τ Sco. Mon. Not. R. Astron. Soc. 2021, 504, 2474–2492. [Google Scholar] [CrossRef]
  81. Buysschaert, B.; Aerts, C.; Bowman, D.M.; Johnston, C.; Van Reeth, T.; Pedersen, M.G.; Mathis, S.; Neiner, C. Forward seismic modeling of the pulsating magnetic B-type star HD 43317. Astron. Astrophys. 2018, 616, A148. [Google Scholar] [CrossRef]
  82. Lecoanet, D.; Bowman, D.M.; Van Reeth, T. Asteroseismic inference of the near-core magnetic field strength in the main-sequence B star HD 43317. Mon. Not. R. Astron. Soc. 2022, 512, L16–L20. [Google Scholar] [CrossRef]
  83. Pápics, P.I.; Briquet, M.; Baglin, A.; Poretti, E.; Aerts, C.; Degroote, P.; Tkachenko, A.; Morel, T.; Zima, W.; Niemczura, E.; et al. Gravito-inertial and pressure modes detected in the B3 IV CoRoT target HD 43317. Astron. Astrophys. 2012, 542, A55. [Google Scholar] [CrossRef]
  84. Briquet, M.; Neiner, C.; Leroy, B.; Pápics, P.I.; MiMeS Collaboration. Discovery of a magnetic field in the CoRoT hybrid B-type pulsator HD 43317. Astron. Astrophys. 2013, 557, L16. [Google Scholar] [CrossRef]
  85. Buysschaert, B.; Neiner, C.; Briquet, M.; Aerts, C. Magnetic characterization of the SPB/β Cep hybrid pulsator HD 43317. Astron. Astrophys. 2017, 605, A104. [Google Scholar] [CrossRef]
  86. Ricker, G.R.; Winn, J.N.; Vanderspek, R.; Latham, D.W.; Bakos, G.Á.; Bean, J.L.; Berta-Thompson, Z.K.; Brown, T.M.; Buchhave, L.; Butler, N.R.; et al. Transiting Exoplanet Survey Satellite (TESS). J. Astron. Telesc. Instrum. Syst. 2015, 1, 014003. [Google Scholar] [CrossRef]
  87. Rauer, H.; Catala, C.; Aerts, C.; Appourchaux, T.; Benz, W.; Brandeker, A.; Christensen-Dalsgaard, J.; Deleuil, M.; Gizon, L.; Goupil, M.J.; et al. The PLATO 2.0 mission. Exp. Astron. 2014, 38, 249–330. [Google Scholar] [CrossRef]
  88. Keszthelyi, Z. Magnetism in High-Mass Stars. Galaxies 2023, 11, 40. [Google Scholar] [CrossRef]
  89. Freytag, B.; Ludwig, H.G.; Steffen, M. Hydrodynamical models of stellar convection. The role of overshoot in DA white dwarfs, A-type stars, and the Sun. Astron. Astrophys. 1996, 313, 497–516. [Google Scholar]
  90. Herwig, F. The evolution of AGB stars with convective overshoot. Astron. Astrophys. 2000, 360, 952–968. [Google Scholar]
  91. Scott, L.J.A.; Hirschi, R.; Georgy, C.; Arnett, W.D.; Meakin, C.; Kaiser, E.A.; Ekström, S.; Yusof, N. Convective core entrainment in 1D main-sequence stellar models. Mon. Not. R. Astron. Soc. 2021, 503, 4208–4220. [Google Scholar] [CrossRef]
  92. Herwig, F.; Woodward, P.R.; Mao, H.; Thompson, W.R.; Denissenkov, P.; Lau, J.; Blouin, S.; Andrassy, R.; Paul, A. 3D hydrodynamic simulations of massive main-sequence stars. I. Dynamics and mixing of convection and internal gravity waves. Mon. Not. R. Astron. Soc. 2023, 525, 1601–1629. [Google Scholar] [CrossRef]
  93. Andrassy, R.; Higl, J.; Mao, H.; Mocák, M.; Vlaykov, D.G.; Arnett, W.D.; Baraffe, I.; Campbell, S.W.; Constantino, T.; Edelmann, P.V.F.; et al. Dynamics in a stellar convective layer and at its boundary: Comparison of five 3D hydrodynamics codes. Astron. Astrophys. 2022, 659, A193. [Google Scholar] [CrossRef]
  94. Lecoanet, D.; Edelmann, P.V.F. Multidimensional Simulations of Core Convection. Galaxies 2023, 11, 89. [Google Scholar] [CrossRef]
  95. Bowman, D.M.; Aerts, C.; Johnston, C.; Pedersen, M.G.; Rogers, T.M.; Edelmann, P.V.F.; Simón-Díaz, S.; Van Reeth, T.; Buysschaert, B.; Tkachenko, A.; et al. Photometric detection of internal gravity waves in upper main-sequence stars. I. Methodology and application to CoRoT targets. Astron. Astrophys. 2019, 621, A135. [Google Scholar] [CrossRef]
  96. Bowman, D.M.; Burssens, S.; Pedersen, M.G.; Johnston, C.; Aerts, C.; Buysschaert, B.; Michielsen, M.; Tkachenko, A.; Rogers, T.M.; Edelmann, P.V.F.; et al. Low-frequency gravity waves in blue supergiants revealed by high-precision space photometry. Nat. Astron. 2019, 3, 760–765. [Google Scholar] [CrossRef]
  97. Bowman, D.M.; Burssens, S.; Simón-Díaz, S.; Edelmann, P.V.F.; Rogers, T.M.; Horst, L.; Röpke, F.K.; Aerts, C. Photometric detection of internal gravity waves in upper main-sequence stars. II. Combined TESS photometry and high-resolution spectroscopy. Astron. Astrophys. 2020, 640, A36. [Google Scholar] [CrossRef]
  98. Bowman, D.M.; Dorn-Wallenstein, T.Z. Photometric detection of internal gravity waves in upper main-sequence stars. III. Comparison of amplitude spectrum fitting and Gaussian process regression using CELERITE2. Astron. Astrophys. 2022, 668, A134. [Google Scholar] [CrossRef]
  99. Rogers, T.M.; Lin, D.N.C.; McElwaine, J.N.; Lau, H.H.B. Internal Gravity Waves in Massive Stars: Angular Momentum Transport. Astrophys. J. 2013, 772, 21. [Google Scholar] [CrossRef]
  100. Rogers, T.M. On the Differential Rotation of Massive Main-sequence Stars. Astrophys. J. Lett. 2015, 815, L30. [Google Scholar] [CrossRef]
  101. Rogers, T.M.; McElwaine, J.N. On the Chemical Mixing Induced by Internal Gravity Waves. Astrophys. J. Lett. 2017, 848, L1. [Google Scholar] [CrossRef]
  102. Krtička, J.; Feldmeier, A. Light variations due to the line-driven wind instability and wind blanketing in O stars. Astron. Astrophys. 2018, 617, A121. [Google Scholar] [CrossRef]
  103. Krtička, J.; Feldmeier, A. Stochastic light variations in hot stars from wind instability: Finding photometric signatures and testing against the TESS data. Astron. Astrophys. 2021, 648, A79. [Google Scholar] [CrossRef]
  104. Edelmann, P.V.F.; Ratnasingam, R.P.; Pedersen, M.G.; Bowman, D.M.; Prat, V.; Rogers, T.M. Three-dimensional Simulations of Massive Stars. I. Wave Generation and Propagation. Astrophys. J. 2019, 876, 4. [Google Scholar] [CrossRef]
  105. Cantiello, M.; Lecoanet, D.; Jermyn, A.S.; Grassitelli, L. On the Origin of Stochastic, Low-Frequency Photometric Variability in Massive Stars. Astrophys. J. 2021, 915, 112. [Google Scholar] [CrossRef]
  106. Schultz, W.C.; Bildsten, L.; Jiang, Y.F. Stochastic Low-frequency Variability in Three-dimensional Radiation Hydrodynamical Models of Massive Star Envelopes. Astrophys. J. Lett. 2022, 924, L11. [Google Scholar] [CrossRef]
  107. Thompson, W.; Herwig, F.; Woodward, P.R.; Mao, H.; Denissenkov, P.; Bowman, D.M.; Blouin, S. 3D hydrodynamic simulations of massive main-sequence stars II. Convective excitation and spectra of internal gravity waves. arXiv 2023, arXiv:2303.06125. [Google Scholar]
  108. Kaiser, E.A.; Hirschi, R.; Arnett, W.D.; Georgy, C.; Scott, L.J.A.; Cristini, A. Relative importance of convective uncertainties in massive stars. Mon. Not. R. Astron. Soc. 2020, 496, 1967–1989. [Google Scholar] [CrossRef]
  109. Zahn, J.P. Convective penetration in stellar interiors. Astron. Astrophys. 1991, 252, 179–188. [Google Scholar]
  110. Augustson, K.C.; Mathis, S. A Model of Rotating Convection in Stellar and Planetary Interiors. I. Convective Penetration. Astrophys. J. 2019, 874, 83. [Google Scholar] [CrossRef]
  111. Anders, E.H.; Jermyn, A.S.; Lecoanet, D.; Brown, B.P. Stellar Convective Penetration: Parameterized Theory and Dynamical Simulations. Astrophys. J. 2022, 926, 169. [Google Scholar] [CrossRef]
  112. Jermyn, A.S.; Anders, E.H.; Lecoanet, D.; Cantiello, M. Convective Penetration in Early-type Stars. Astrophys. J. 2022, 929, 182. [Google Scholar] [CrossRef]
  113. Claret, A.; Torres, G. The dependence of convective core overshooting on stellar mass. Astron. Astrophys. 2016, 592, A15. [Google Scholar] [CrossRef]
  114. Martinet, S.; Meynet, G.; Ekström, S.; Simón-Díaz, S.; Holgado, G.; Castro, N.; Georgy, C.; Eggenberger, P.; Buldgen, G.; Salmon, S.; et al. Convective core sizes in rotating massive stars. I. Constraints from solar metallicity OB field stars. Astron. Astrophys. 2021, 648, A126. [Google Scholar] [CrossRef]
  115. Johnston, C. One size does not fit all: Evidence for a range of mixing efficiencies in stellar evolution calculations. Astron. Astrophys. 2021, 655, A29. [Google Scholar] [CrossRef]
  116. Anders, E.H.; Pedersen, M.G. Convective Boundary Mixing in Main-Sequence Stars: Theory and Empirical Constraints. Galaxies 2023, 11, 56. [Google Scholar] [CrossRef]
  117. Gräfener, G.; Owocki, S.P.; Vink, J.S. Stellar envelope inflation near the Eddington limit. Implications for the radii of Wolf-Rayet stars and luminous blue variables. Astron. Astrophys. 2012, 538, A40. [Google Scholar] [CrossRef]
  118. Paxton, B.; Bildsten, L.; Dotter, A.; Herwig, F.; Lesaffre, P.; Timmes, F. Modules for Experiments in Stellar Astrophysics (MESA). Astrophys. J. Supp. 2011, 192, 3. [Google Scholar] [CrossRef]
  119. Paxton, B.; Cantiello, M.; Arras, P.; Bildsten, L.; Brown, E.F.; Dotter, A.; Mankovich, C.; Montgomery, M.H.; Stello, D.; Timmes, F.X.; et al. Modules for Experiments in Stellar Astrophysics (MESA): Planets, Oscillations, Rotation, and Massive Stars. Astrophys. J. Supp. 2013, 208, 4. [Google Scholar] [CrossRef]
  120. Paxton, B.; Schwab, J.; Bauer, E.B.; Bildsten, L.; Blinnikov, S.; Duffell, P.; Farmer, R.; Goldberg, J.A.; Marchant, P.; Sorokina, E.; et al. Modules for Experiments in Stellar Astrophysics (MESA): Convective Boundaries, Element Diffusion, and Massive Star Explosions. Astrophys. J. Supp. 2018, 234, 34. [Google Scholar] [CrossRef]
  121. Paxton, B.; Smolec, R.; Schwab, J.; Gautschy, A.; Bildsten, L.; Cantiello, M.; Dotter, A.; Farmer, R.; Goldberg, J.A.; Jermyn, A.S.; et al. Modules for Experiments in Stellar Astrophysics (MESA): Pulsating Variable Stars, Rotation, Convective Boundaries, and Energy Conservation. Astrophys. J. Supp. 2019, 243, 10. [Google Scholar] [CrossRef]
  122. Jermyn, A.S.; Bauer, E.B.; Schwab, J.; Farmer, R.; Ball, W.H.; Bellinger, E.P.; Dotter, A.; Joyce, M.; Marchant, P.; Mombarg, J.S.G.; et al. Modules for Experiments in Stellar Astrophysics (MESA): Time-dependent Convection, Energy Conservation, Automatic Differentiation, and Infrastructure. Astrophys. J. Supp. 2023, 265, 15. [Google Scholar] [CrossRef]
  123. Shaviv, N.J. The Porous Atmosphere of η Carinae. Astrophys. J. Lett. 2000, 532, L137–L140. [Google Scholar] [CrossRef]
  124. Cantiello, M.; Langer, N.; Brott, I.; de Koter, A.; Shore, S.N.; Vink, J.S.; Voegler, A.; Lennon, D.J.; Yoon, S.C. Sub-surface convection zones in hot massive stars and their observable consequences. Astron. Astrophys. 2009, 499, 279–290. [Google Scholar] [CrossRef]
  125. Jiang, Y.F.; Cantiello, M.; Bildsten, L.; Quataert, E.; Blaes, O. Local Radiation Hydrodynamic Simulations of Massive Star Envelopes at the Iron Opacity Peak. Astrophys. J. 2015, 813, 74. [Google Scholar] [CrossRef]
  126. Vink, J.S.; Muijres, L.E.; Anthonisse, B.; de Koter, A.; Gräfener, G.; Langer, N. Wind modelling of very massive stars up to 300 solar masses. Astron. Astrophys. 2011, 531, A132. [Google Scholar] [CrossRef]
  127. Gräfener, G.; Owocki, S.P.; Grassitelli, L.; Langer, N. On the optically thick winds of Wolf-Rayet stars. Astron. Astrophys. 2017, 608, A34. [Google Scholar] [CrossRef]
  128. Moens, N.; Poniatowski, L.G.; Hennicker, L.; Sundqvist, J.O.; El Mellah, I.; Kee, N.D. First 3D radiation-hydrodynamic simulations of Wolf-Rayet winds. Astron. Astrophys. 2022, 665, A42. [Google Scholar] [CrossRef]
  129. Jiang, Y.F. Multi-D simulations of core convection. Galaxies, 2023; under review. [Google Scholar]
  130. Petrovic, J.; Pols, O.; Langer, N. Are luminous and metal-rich Wolf-Rayet stars inflated? Astron. Astrophys. 2006, 450, 219–225. [Google Scholar] [CrossRef]
  131. Grassitelli, L.; Langer, N.; Mackey, J.; Gräfener, G.; Grin, N.J.; Sander, A.A.C.; Vink, J.S. Wind-envelope interaction as the origin of the slow cyclic brightness variations of luminous blue variables. Astron. Astrophys. 2021, 647, A99. [Google Scholar] [CrossRef]
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Bowman, D.M.; van Saders, J.; Vink, J.S. The Structure and Evolution of Stars: Introductory Remarks. Galaxies 2023, 11, 94. https://doi.org/10.3390/galaxies11050094

AMA Style

Bowman DM, van Saders J, Vink JS. The Structure and Evolution of Stars: Introductory Remarks. Galaxies. 2023; 11(5):94. https://doi.org/10.3390/galaxies11050094

Chicago/Turabian Style

Bowman, Dominic M., Jennifer van Saders, and Jorick S. Vink. 2023. "The Structure and Evolution of Stars: Introductory Remarks" Galaxies 11, no. 5: 94. https://doi.org/10.3390/galaxies11050094

APA Style

Bowman, D. M., van Saders, J., & Vink, J. S. (2023). The Structure and Evolution of Stars: Introductory Remarks. Galaxies, 11(5), 94. https://doi.org/10.3390/galaxies11050094

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