Name: Barun Maity
Affiliation: National Centre for Radio Astrophysics - Tata Institute of Fundamental Research
Conference ID : ASI2022_145
Title : Efficient Modelling of Cosmic Reionization using SCRIPT
Authors : Barun Maity, Tirthankar Roy Choudhury
Abstract Type: Poster
Abstract Category : General Relativity and Cosmology
Abstract : According to the standard model of cosmology, the universe was mostly ionized and hot at very early stages. Then it cooled down with time and became predominantly neutral around 380,000 years after birth. Reionization is the era when the universe is again ionized by the photons coming from the first luminous sources. The ionization and thermal state of the intergalactic medium (IGM) during the epoch of reionization has been of interest in recent times because of their close connection to the first stars. In this work, we present a semi-numerical code that computes the large-scale temperature and ionized hydrogen fields in a cosmologically representative volume accounting for the patchiness in these quantities arising from reionization. The code is an extension to a previously developed version for studying the growth of ionized regions, namely, Semi Numerical Code for ReionIzation with PhoTon Conservation (SCRIPT). The main additions in the present version are the inhomogeneous recombinations which are essential for temperature calculations. This extended version of SCRIPT also implements physical consequences of photoheating during reionization, e.g., radiative feedback. These enhancements allow us to predict observables that were not viable with the earlier version. These include the faint-end of the ultra-violet luminosity function of galaxies (which can get affected by the radiative feedback) and the temperature-density relation of the low-density IGM at z ~6. We study the effect of varying the free parameters and prescriptions of our model on a variety of observables. The conclusion of our analysis is that it is possible to put constraints on the evolution of the thermal and ionization state of the IGM using available observations accounting for all possible variations in the free parameters.