Simulating ionization feedback from young massive stars: impact of numerical resolution

• Published in: arXiv.org
• Main Authors: Deng, Yunwei, Li, Hui, Kannan, Rahul, Smith, Aaron, Vogelsberger, Mark, Bryan, Greg L
• Format: Paper Journal Article
• Language: English
• Published: Ithaca Cornell University Library, arXiv.org 03.11.2023
• Subjects: Astronomical models; Exact solutions; Feedback; Finite element method; Galactic evolution; Gas density; Interstellar gas; Interstellar matter; Ionization; Massive stars; Photoionization; Physics - Astrophysics of Galaxies; Radiative transfer; Simulation; Spatial resolution; Star & galaxy formation; Star formation; Stellar evolution; Temporal resolution; Thermochemistry; Time integration
• ISSN: 2331-8422
• DOI: 10.48550/arxiv.2309.15900

Modelling galaxy formation in hydrodynamic simulations has increasingly adopted various radiative transfer methods to account for photoionization feedback from young massive stars. However, the evolution of HII regions around stars begins in dense star-forming clouds and spans large dynamical ranges in both space and time, posing severe challenges for numerical simulations in terms of both spatial and temporal resolution that depends strongly on gas density (\(\propto n^{-1}\)). In this work, we perform a series of idealized HII region simulations using the moving-mesh radiation-hydrodynamic code Arepo-RT to study the effects of numerical resolution. The simulated results match the analytical solutions and the ionization feedback converges only if the Str\"omgren sphere is resolved by at least \(10\)--\(100\) resolution elements and the size of each time integration step is smaller than \(0.1\) times the recombination timescale. Insufficient spatial resolution leads to reduced ionization fraction but enhanced ionized gas mass and momentum feedback from the HII regions, as well as degrading the multi-phase interstellar medium into a diffuse, partially ionized, warm (\(\sim8000\) K) gas. On the other hand, insufficient temporal resolution strongly suppresses the effects of ionizing feedback. This is because longer timesteps are not able to resolve the rapid variation of the thermochemistry properties of the gas cells around massive stars, especially when the photon injection and thermochemistry are performed with different cadences. Finally, we provide novel numerical implementations to overcome the above issues when strict resolution requirements are not achievable in practice.