Arkenstone

A subgrid model for hot and cool galactic winds

Arkenstone is a new model for multiphase, stellar feedback driven galactic winds designed for inclusion in coarse resolution cosmological simulations. The method has two parts: one that can properly treat high specific energy wind components and a second that follows small, dense, cool clumps as they exchange mass, momentum, and energy with the hot medium. The method is implemented in the Arepo code. Hot, fast gas phases with low mass loadings are predicted to dominate the energy content of multiphase outflows. In order to treat the huge dynamic range of spatial scales involved in cosmological galaxy formation at feasible computational expense, cosmological volume simulations typically employ a Lagrangian code or else use adaptive mesh refinement with a quasi-Lagrangian refinement strategy. However, it is difficult to inject a high specific energy wind in a Lagrangian scheme without incurring artificial burstiness. Additionally, the low densities inherent to this type of flow result in poor spatial resolution. Arkenstone addresses these issues with a novel scheme for coupling energy into the transition region between the interstellar medium (ISM) and the CGM, while also providing the necessary level of refinement at the base of the wind.

The theoretical framework for this project was described in (Fielding & Bryan, 2022); the implementation of the high-specific energy winds was described in Paper I (Smith et al., 2024) with a description of the cool clouds in Paper II (Smith et al., 2024). We expect to submit a paper (J. Bennett et al) presenting our initial Arkenstone-hot cosmology results in Fall 2024.

References

2024

  1. Matthew C. Smith, Drummond B. Fielding, Greg L. Bryan , and 11 more authors
    Monthly Notices of the Royal Astronomical Society, Jan 2024
  2. Matthew C. Smith, Drummond B. Fielding, Greg L. Bryan , and 4 more authors
    arXiv e-prints, Aug 2024

2022

  1. Drummond B. Fielding, and Greg L. Bryan
    Astrophysical Journal, Jan 2022