COMPUTATIONAL METHOD OF GALAXY FORMATION IN STANDARD MODEL OF COSMOLOGY

Jaswant Kumar Yadav

Abstract


We present a computational model to study the formation of galaxies in the Universe. The model is implemented in the form of semi-analytic prescriptions describing various physical processes on top of dark-matter-only N-body simulations. Merger trees of dark matter haloes are obtained from the simulations and baryonic physics is then implemented in each halo. This involves models of star formation and evolution, gas heating and cooling, supernova and AGN feedback, dynamical friction effects on satellite galaxies, and major and minor mergers of galaxies. The model is calibrated with observations. We establish the validity of the model via its comparison with the Luminosity function and Stellar Mass function of galaxy population observed with the help of large telescopes.

Keywords


galaxies:evolution; galaxies:high redshift; large-scale structure of Universe ; method : computational

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References


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DOI: https://doi.org/10.26483/ijarcs.v8i7.4341

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