Abstract Details

Name: Aadarsh Pathak
Affiliation: Indian Institute of Technology, Indore
Conference ID: ASI2021_361
Title : Using the largest cluster statistics on 21 cm maps to constrain reionization models
Authors and Co-Authors : Aadarsh Pathak (Discipline of Astronomy, Astrophysics and Space Engineering, Indian Institute of Technology Indore, Simrol, Indore 453552, India), Suman Majumdar (Discipline of Astronomy, Astrophysics and Space Engineering, Indian Institute of Technology Indore, Simrol, Indore 453552, India), Satadru Bag (Korea Astronomy and Space Science Institute, Daejeon, Korea), Rajesh Mondal (Department of Astronomy, Stockholm University, Stockholm, Swedan), Mohd. Kamran (Discipline of Astronomy, Astrophysics and Space Engineering, Indian Institute of Technology Indore, Simrol, Indore 453552, India)
Abstract Type : Poster
Abstract Category : General Relativity and Cosmology
Abstract : The topological distribution of the ionized and neutral regions during different stages of the Epoch of Reionization (EoR) can provide us a great wealth of information about the properties of the ionizing sources during this era. In this project, we have used an algorithm, SURFGEN2 on a suite of simulated 21-cm maps from the EoR to characterize the evolution of the shape and size of the largest ionized region in these maps. This specific method of characterizing any field is known as tracing the Largest Cluster Statistics (LCS). We perform a comparative study of the LCS of ionized regions for seven different simulated reionization scenarios. Our study reveals that the shape of the LCS of ionized regions and hence their topology varies significantly in all seven cases. Particularly the global neutral fraction at which percolation between all ionized regions occur is different for different reionization scenarios. Further, we find that LCS of ionized regions is a robust statistic that can differentiate between the fundamentally inside-out and outside-in reionization scenarios. The neutral fractions at which the percolation takes place for inside-out and outside-in reionization varies considerably from each other. We also find that the largest ionized region is mostly filamentary in nature for all reionization scenarios, especially after the instant when different ionized regions merge together to become a single inter-connected ionized region. Further, as a part of this project we would like to study the impact of cosmic variance, system noise and residual foregrounds in the 21-cm maps on our inferences drawn from LCS of ionized regions. We would also like to explore whether LCS can be used to put constraints on reionization history via the future SKA observations of the EoR.