Numerical approaches to star formation and SuperNovae energy feedback in simulations of galaxy clusters
Martina Giovalli

TL;DR
This paper introduces a new physically-based sub-grid model called MUPPI for simulating star formation and supernova feedback in galaxy cluster simulations, aiming to improve the realism of ISM physics and feedback effects.
Contribution
The work presents a novel sub-grid model that accurately reproduces ISM properties and effectively models supernova feedback within cosmological galaxy simulations.
Findings
MUPPI successfully reproduces observed ISM properties.
The model provides effective thermal energy feedback.
Application to cosmological simulations impacts galaxy and cluster properties.
Abstract
The goal of this work is to to investigate different numerical approaches and to introduce a new, physically-based sub-grid model for the ISM physics, including a treatment of star formation and Type II supernovae energy feedback (MUPPI, MUlti-Phase Particle Integrator). Our model follows the ISM physics using a system of ordinary differential equations, describing mass and energy flows among the different gas phases in the ISM inside each gas particle. The model also includes the treatment of SNe energy transfer from star-forming particles to their neighbours. We will show in this Thesis how this model is able to reproduce observed ISM properties, while also providing an effective thermal energy feedback and responding to variations in the local hydrodynamical properties of the gas, e.g. crossing of a spiral density wave in a galaxy disk. We believe the model we presented here will be…
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Taxonomy
TopicsGalaxies: Formation, Evolution, Phenomena · Astronomy and Astrophysical Research · Scientific Research and Discoveries
