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On the Structure and Oscillations of the First Stars

Ferreira dos Santos, Thiago; Bellinger, Earl; Farag, Ebraheem; Lindsay, Christopher

Abstract

Post-main sequence Population III stars (of the mass range M = 0.8 – 1 MSun) could inhabit dwarf galaxies and the halo of the Milky Way. However, they remain observationally elusive. Surface abundance anomalies induced by evolutionary mixing – particularly thermohaline diffusion and dredge-up events – can mimic the chemical signatures of second-generation stars, complicating spectroscopic identification and mask their primordial nature. In this study, we investigate the potential of asteroseismology to distinguish low-mass Pop III stars from metal-rich counterparts, focusing on seismic observables that are sensitive to their unique internal structures. We perform stellar evolution modeling with MESA and compute oscillation spectra using GYRE, with an emphasis on diagnostics related to properties of the core as well as core-envelope coupling. With high-cadence photometric data from missions such as PLATO and future surveys, asteroseismology may offer a powerful, non-spectroscopic tool for identifying surviving primordial stars and probing the earliest stages of stellar evolution.

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On the Structure and Oscillations of the First Stars Thiago Ferreira1, Earl P. Bellinger1, Ebraheem Farag1, and Christopher J. Lindsay1 1Yale University | Contact:[email protected] Low-mass Population III (Pop III) stars are expected to survive in the Milky Way halo and/or its dwarf satellites, however, their identification remains elusive [1-4]. Surface abundances from internal mixing (e.g., element diffusion and dredge-up) can mimic secondgeneration chemical signatures, obscuring their primordial origin. As these stars differ fundamentally in opacity, convective structure, and evolutionary pathways due to their metalfree composition, asteroseismology may offer a promising, independent probe of their interiors. In this study, we assess whether their oscillation spectra reveal unique seismic signatures that could distinguish Pop III survivors from metal-rich stars of similar mass and evolutionary stage. EVOLUTIONARY TRACKS. Pop III stellar models are hotter, more compact, and luminous than metalrich counterparts. Models with M≲0.75 M⊙ remain on the MS today, while more massive ones evolve to WDs. For M≳0.85 M⊙, deep dredge-up and shell mergers during the asymptotic giant branch bring to the surface CNO elements, producing C/N-enhanced ultra metalpoor stars by 10 Gyr. Extreme horizontal branchlike phases emerge from off-centre He ignition under degenerate conditions, enabled by mass loss (up to 10−7M⊙yr−1). These helium-burning phases are UV-bright and short-lived (∼20 −60 Myr) and may leave fossil signatures in old white dwarf populations. OSCILLATION SPECTRA were computed using GYRE [7] focusing on a 0.85 M⊙case study star at the sub-giant (SG) and red giant branches (RGB). Oscillation modes reveal distinct seismic fingerprints driven by Pop III stars zero-metallicity interiors: (a) The absence of metals drastically reduces opacity, steepening internal temperature gradients and producing more compact, denser cores, with higher sound speeds; (b) Pop III stars show larger ∆νthan metal-poor stars at a fixed model mass, reflecting compact structure and higher mean densities; (c) Elevated ratios r02 =δν02/∆νindicate sharper sound-speed contrasts between core and envelope, a hallmark of primordial composition and efficient radiative energy transport; (d) Gravity modes in Pop III stars exhibit higher normalized inertias, indicating strong trapping in the compact, stratified core and lower surface amplitudes. This contrasts with metal-poor stars where metals smooth gradients and weaken mode trapping; (e) Buoyancy frequency profiles reveal pronounced peaks in Pop III stars, evidencing strong stratification and efficient gravity-mode cavities, in contrast to the smoother profiles in metal-poor models; (f) Pop III stars have higher ψ≡∆ν/∆Π1at fixed ∆Π1during the RGB due to slower core evolution and more modest chemical gradients, distinguishing them from metal-poor counterparts (e.g., [9, 10]). 5000100002000050000100000 Effective Temperature, Teff / K 0.01 0.1 1 10 100 1000 10000 Luminosity, L / L 0.7 M 0.75 M 0.8 M 0.85 M 0.9 M 0.95 M 1 M MS SG RGB TRGB Shell Mergers AGB HB LTP EHB PN WD Cooling Seq. O B A F G K M 0.000 0.004 1.406 8.925 9.759 10.035 10.050 Stellar Age, / Gyr 0.0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 Fractional Mass, m / M | 0.85 M Radiative Zones Convective Zones pp-chain CNO cycles 3 proc. PMS MS SG TRGB TRGB Shell Mergers To AGB 6 5 4 3 2 1 0 Buoyancy Frequency, log N / Hz Figure 1. HR diagram for low-mass Pop III stars with stellar radii (dashed), spectral type regions (background shading), and evolutionary phases (right). Kippenhahn diagram for a 0.85 M⊙model, showing convective boundaries, core helium burning, and structural transitions (left). 100 120 140 160 180 200 / Hz 0.02 0.03 0.04 0.05 0.06 0.07 0.08 0.09 r 02 02/ 0.85 M models Varying Metallicities Z = 0 Z = 10 3 Z = 10 2 Z = 2 × 10 2 0.1 0.2 0.3 0.4 0.5 0.6 Xc= 0.7 Figure 2. Top left: Evolution of surface chemical abundances (εX= log10(X/H) + 12) for several elements in a 0.85 M⊙star as a function of stellar age, with shell merger phases highlighted. The shaded grey region represents the approximate lower limit of surface abundances observed in extremely metal-poor stars (e.g., SMSS J031300.36670839.3 with [Fe/H] ≈ −7.3[11]). Top right: Evolution of the small frequency separation ratio r02 ≡δν02/∆νvs. ∆ν for 0.85 M⊙models at varying metallicities. Bottom left: Kiel diagram for 0.85 M⊙models at different metallicities. Crosses represent 1140 observed Kepler RGB stars from [10]. Bottom right: Seismic spacing ratio ψ≡∆ν/∆Π1vs. ∆Π1for varying metallicities. Lower-metallicity models show decreased ψduring late subgiant phases. Pop III stars, in particular, consistently exhibit higher ψvalues throughout the RGB, reflecting weaker coupling between pand g-mode cavities. References: [1] Abel et al. (2000; ApJ 540, 39), [2] Komiya et al. (2016; ApJ 820, 59), [3] Hirano & Bromm (2017; MNRAS 470, 898), [4] Chandra & Schlaufman (2021; AJ 161, 197), [5] Paxton et al. (2011-2019; ApJS, 192, 220, 223, 234, 243), [6] Jermyn et al. (2023; ApJ 913, 72), [7] Townsend & Teitler (2013; MNRAS 435, 3406), [8] Mosser et al. (2012; A&A 540A, 143), [9] Buysschaert et al. (2016; A&A 588A, 82), [10] Gehan et al. (2018; A&A 616A, 24), [11] Keller et al. (2014; Nature 506, 463). TASC9/KASC16 WORKSHOP – JULY 2025 – AUSTRIA