Towards Implementation of the Pressure-Regulated, Feedback-Modulated Model of Star Formation in Cosmological Simulations: Methods and Application to TNG
Sultan Hassan, Eve C. Ostriker, Chang-Goo Kim, Greg L. Bryan, Jan D., Burger, Drummond B. Fielding, John C. Forbes, Shy Genel, Lars Hernquist,, Sarah M. R. Jeffreson, Bhawna Motwani, Matthew C. Smith, Rachel S., Somerville, Ulrich P. Steinwandel, Romain Teyssier

TL;DR
This paper introduces a physically motivated, feedback-regulated star formation model based on first-principles simulations, applied to TNG50, showing improved predictions of gas depletion times and ISM properties over traditional models.
Contribution
It develops a new star formation subgrid model combining TIGRESS calibration with PRFM theory, replacing empirical parameters with physics-based formulae in cosmological simulations.
Findings
Galaxies in TNG50 are close to vertical equilibrium.
PRFM predicts shorter gas depletion times at high densities.
Effective equations of state are similar but with different velocity dispersions.
Abstract
Traditional star formation subgrid models implemented in cosmological galaxy formation simulations, such as that of Springel & Hernquist (2003, hereafter SH03), employ adjustable parameters to satisfy constraints measured in the local Universe. In recent years, however, theory and spatially-resolved simulations of the turbulent, multiphase, star-forming ISM have begun to produce new first-principles models, which when fully developed can replace traditional subgrid prescriptions. This approach has advantages of being physically motivated and predictive rather than empirically tuned, and allowing for varying environmental conditions rather than being tied to local Universe conditions. As a prototype of this new approach, by combining calibrations from the TIGRESS numerical framework with the Pressure-Regulated Feedback-Modulated (PRFM) theory, simple formulae can be obtained for both the…
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Taxonomy
TopicsStellar, planetary, and galactic studies · Astro and Planetary Science · Astronomy and Astrophysical Research
