ICTS:31373

Video URL

Analysing the effect of calibration errors and instrumental noise on HI 21-cm maps from the EoR usi…

Analysing the effect of calibration errors and instrumental noise on HI 21-cm maps from the EoR using the LCS

(2025). Analysing the effect of calibration errors and instrumental noise on HI 21-cm maps from the EoR using the LCS. SciVideos. https://www.youtube.com/watch

Analysing the effect of calibration errors and instrumental noise on HI 21-cm maps from the EoR using the LCS. SciVideos, Apr. 06, 2025, https://www.youtube.com/watch 

          @misc{ scivideos_ICTS:31373,
            doi = {},
            url = {https://www.youtube.com/watch},
            author = {},
            keywords = {},
            language = {en},
            title = {Analysing the effect of calibration errors and instrumental noise on HI 21-cm maps from the EoR using the LCS},
            publisher = {},
            year = {2025},
            month = {apr},
            note = {ICTS:31373 see, \url{https://scivideos.org/index.php/icts-tifr/31373}}
          }
Samit Kumar Pal
Talk numberICTS:31373
Source RepositoryICTS-TIFR
Collection

Abstract

Our study focuses on the evolution of the largest ionized regions (LIRs) by examining the topology and morphology of neutral hydrogen distribution across the different stages of reionization. To investigate the evolution of LIRs, we employed the largest cluster statistics (LCS). Our analysis of the LCS of the redshifted 21-cm signal from the Epoch of Reionization (EoR) has demonstrated to be a robust metric for studying the history of reionization. In our previous LCS analysis, we identified a bias introduced by the convolution of the telescopic synthesize beam of SKA1-Low with the 21-cm signal, which shifted the apparent percolation process of reionization towards the later stage of reionization. This study proposes a method to reduce this bias significantly using an optimal thresholding algorithm. We also tested the robustness of LCS under various foreground corruption conditions. Additionally, we investigated the impact of telescope noise for SKA1-Low on the LCS analysis via synthetic observations simulated by the 21cmE2E pipeline. Here, we present the initial results of the simulation on reionization history in the presence of antenna-based gain calibration errors and instrumental noise on LCS analysis using different SKA array assemblies.