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Slowly Rotating WNE Stars

Updated 26 December 2025
  • Slowly rotating WNE stars are a subclass of Wolf-Rayet stars with low surface rotational speeds, resulting from efficient angular momentum loss during the post-RSG phase.
  • The models employ internal gravity waves and a revised Tayler–Spruit dynamo to reconcile observed slow rotation with theoretical predictions through calibrated parameter regimes.
  • Simulation outcomes underscore the critical role of precise mass-loss prescriptions and AM transport parameter tuning in achieving WNE surface velocities below 70 km/s.

Slowly rotating early-type nitrogen-sequence Wolf-Rayet (WNE) stars represent a theoretically predicted subclass of Wolf-Rayet stars that exhibit surface rotational velocities markedly lower than those expected from purely hydrodynamic angular momentum (AM) transport in massive star evolution. Their formation is generally attributed to an evolutionary pathway passing through the red supergiant (RSG) phase, during which steep gradients and mass-loss-driven AM removal facilitate substantial spin-down. Contemporary simulations incorporating additional AM transport via internal gravity waves (IGWs) and the revised Tayler–Spruit dynamo (TSF) have provided the first robust formation channels and physically motivated parameter regimes for the existence of these slowly rotating WNE stars (Si et al., 24 Dec 2025).

1. Angular Momentum Transport Frameworks

Two principal extra AM transport mechanisms are invoked to reconcile slow WNE rotation with evolutionary predictions: IGWs and the TSF dynamo. Both are implemented in stellar evolution codes as additional effective viscosities superposed on the standard suite of hydrodynamic transport processes (Eddington–Sweet circulation and shear/turbulent instabilities).

Internal Gravity Waves (IGWs)

The IGW-driven AM diffusion coefficient adopted is:

νIGW=A(2Dthb)1/3[DthN(ρbρ)(rbr)6]2V8/3f4/3(Eq. 3)\nu_{\mathrm{IGW}} = A(2D_{\mathrm{thb}})^{-1/3} \left[ D_{\mathrm{th}} N \left( \frac{\rho_b}{\rho} \right) \left( \frac{r_b}{r} \right)^6 \right]^2 V^{8/3} f^{-4/3} \quad \text{(Eq.~3)}

where AA is a dimensionless efficiency parameter, DthD_{\mathrm{th}} is the local thermal diffusivity, NN the Brunt–Väisälä frequency, and VV the characteristic eddy speed. ff denotes a wave-damping integral, and the other terms denote structural variables evaluated at convective boundaries and at each radius.

TSF Dynamo

The AM viscosity for the revised Tayler instability (TSF) is:

νTSF=α3r2Ω(ΩNeff)2(Eq. 12)\nu_{\mathrm{TSF}} = \alpha^3 r^2 \Omega \left( \frac{\Omega}{N_{\mathrm{eff}}} \right)^2 \quad \text{(Eq.~12)}

with α\alpha a dimensionless dynamo saturation parameter and NeffN_{\mathrm{eff}} the effective Brunt–Väisälä frequency. The minimum shear for instability activation follows:

qminα3(NeffΩ)5/2(ηr2Ω)3/4(Eq. 13)q_{\min} \sim \alpha^{-3} \left( \frac{N_{\mathrm{eff}}}{\Omega} \right)^{5/2} \left( \frac{\eta}{r^2 \Omega} \right)^{3/4} \quad \text{(Eq.~13)}

Angular momentum evolution is numerically propagated via the standard 1D diffusion equation:

AA0

where AA1\,=\, AA2 or AA3, depending on the mechanism modeled.

2. Justification and Calibration of Model Parameters

Parameter tuning is mandatory given the uncertainties in wave and dynamo efficiencies in the massive-star regime:

  • For IGWs, maintaining WNE surface velocities AA4—the fiducial "slow" criterion based on nitrogen-rich B star constraints—requires

AA5

This is two orders of magnitude greater than the AA6 values used for low-mass RGB stars, supporting a sensitivity of the mechanism to stellar mass.

  • For TSF, direct adoption of the low-mass calibration (AA7–6) leads to catastrophic core spin-down (AA8 prematurely), while AA9 fails to activate the instability. Calibrated grid models identify the optimal value as

DthD_{\mathrm{th}}0

for all DthD_{\mathrm{th}}1–DthD_{\mathrm{th}}2 progenitors.

3. Stellar Evolutionary Setups

The simulations utilize MESA version r12115 ("black_hole" suite), spanning:

  • Initial masses: DthD_{\mathrm{th}}3
  • Metallicity: DthD_{\mathrm{th}}4
  • Initial rotation: DthD_{\mathrm{th}}5
  • Convection: MLT (DthD_{\mathrm{th}}6, Schwarzschild), with overshoot DthD_{\mathrm{th}}7
  • Mass loss: Dutch prescription (DthD_{\mathrm{th}}8 for DthD_{\mathrm{th}}9), RSG regime amplified by NN0 over standard de Jager (1988), and further rotation-enhanced as

NN1

The evolutionary sequence follows ZAMS through core H/He burning and envelope-stripping, tracking the blue supergiant (BSG), RSG, WNL, and WNE stages to core C-burning.

4. Simulation Outcomes: Surface and Core Spin Evolution

IGW-Only Models

  • Without IGWs, even with substantial late-stage mass loss, 60 NN2 models display core rotation NN3 mid-core He burning, persistent envelope spin-up during expansion, and WNE surfaces exceeding NN4.
  • With NN5, core rotation is efficiently braked to NN6 by mid-He burning, and the WNE surface falls well below NN7, even reaching NN8 by He depletion. The He-core specific AM drops by NN9 dex.
  • All VV0 models require VV1 to ensure WNE surface velocities below VV2. Higher mass models require slightly less efficient IGW transport as mass loss more effectively removes AM.

IGW Models: Convective-Envelope Excitation

Similar qualitative spin-down is seen when IGW excitation originates in the convective envelope, but this reduction is temporary. As envelope convection recedes in late He burning, wave excitation weakens and partial core spin-up ensues, preventing a persistently slow WNE unless VV3 is extremely large.

TSF-Only Models

  • With VV4–6, AM transport nearly erases all core spin, yielding nonphysical VV5 throughout the WNE lifetime.
  • With VV6, the threshold for instability exceeds shear, and AM transport reverts to the baseline hydrodynamic case.
  • The intermediate case VV7 yields core rotation VV8 at mid-He and WNE surface velocities VV9, aligning with the predicted slow-rotator class. AM profiles indicate a depletion of core AM by two orders of magnitude during envelope stripping.

Mass Dependence and Comparison to Low-Mass Stars

The efficiency of both IGW and TSF AM transport rises steeply with increasing mass. For low-mass stars, IGW ff0 and TSF ff1–6 suffice, while only the much larger values noted above match observations for massive WNE progenitors.

5. Synthesis: Formation and Theoretical Status of Slowly Rotating WNE Stars

Both core-excited IGWs (ff2) and the revised TSF dynamo (ff3) can independently and self-consistently spin post-RSG helium cores down, yielding WNE stars with ff4. This theoretical population matches the properties inferred from nitrogen-rich B stars, and the models predict substantial increases in AM-transport efficiency with mass. The dominant AM-loss channel is envelope mass loss during and after the RSG phase, synergizing with internal transport to drive efficient core and surface spin-down (Si et al., 24 Dec 2025).

6. Caveats, Uncertainties, and Future Directions

Significant uncertainties remain in linking simulation output to observed slow-rotator populations:

  • Chemical mixing by IGWs was switched off to focus on pure AM transport. Fully self-consistent coupling of chemical and AM transport by IGWs is not yet realized.
  • The ff5 "slow" surface threshold is based on B star observations. Direct constraints for WNE stars are lacking due to spectroscopic challenges.
  • Mass-loss prescriptions, especially for RSGs (where de Jager rates are scaled up by ff6), introduce model-dependent uncertainties in AM removal and resulting rotation.
  • Optimal ff7 and ff8 values may shift as mass-loss rates, binary interactions, or metallicity are revised.

Future progress requires direct high-precision rotational velocity measurements of WNE stars and refinement of the IGW/TSF implementation in stellar evolution frameworks, potentially integrating chemical-mixing and AM transport in a fully unified prescription (Si et al., 24 Dec 2025).

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