Ionisation feedback in star formation simulations: The role of diffuse fields
Barbara Ercolano (USM-LMU, Universe Excellence Cluster), Matthias, Gritschneder (KIAA-Peking University)

TL;DR
This study compares radiative transfer codes in star formation simulations, highlighting the importance of diffuse fields for accurate temperature distribution and star formation timing, and introduces a method to incorporate diffuse effects into existing models.
Contribution
The paper validates the iVINE code against MOCASSIN and introduces DiVINE, a new approach to include diffuse fields, improving the realism of star formation simulations.
Findings
Diffuse fields lead to denser, less coherent structures.
Including diffuse fields triggers earlier star formation.
Turbulence is driven but slightly less efficiently with diffuse fields.
Abstract
We compare the three-dimensional gas temperature distributions obtained by a dedicated radiative transfer and photoionisation code, MOCASSIN, against those obtained by the recently-developed Smooth Particle Hydrodynamics (SPH) plus ionisation code iVINE for snapshots of an hydrodynamical simulation of a turbulent interstellar medium (ISM) irradiated by a nearby O star. Our tests demonstrate that the global ionisation properties of the region are correctly reproduced by iVINE, hence validating further application of this code to the study of feedback in star forming regions. However we highlight potentially important discrepancies in the detailed temperature distribution. In particular we show that in the case of highly inhomogenous density distributions the commonly employed on-the-spot (OTS) approximation yields unrealistically sharp shadow regions which can affect the dynamical…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
