Towards 21-cm Intensity Mapping at $z=2.28$ with uGMRT using the Tapered Gridded Estimator I: Foreground Avoidance
Srijita Pal, Kh. Md. Asif Elahi, Somnath Bharadwaj, Sk. Saiyad Ali,, Samir Choudhuri, Abhik Ghosh, Arnab Chakraborty, Abhirup Datta, Nirupam Roy,, Madhurima Choudhury, Prasun Dutta

TL;DR
This paper applies the Tapered Gridded Estimator to uGMRT data at redshift 2.28, deriving upper limits on the 21-cm power spectrum and HI parameters, demonstrating foreground avoidance techniques in intensity mapping.
Contribution
The study introduces a novel application of the Tapered Gridded Estimator to uGMRT data for 21-cm intensity mapping at z=2.28, advancing foreground mitigation and power spectrum estimation methods.
Findings
Set a 2-sigma upper limit of 133.97^2 mK^2 on brightness temperature fluctuations.
Derived an upper limit of 0.23 on [Ω_HI b_HI], constraining HI density and bias.
Validated methodology with simulations and compared with previous results at similar redshift.
Abstract
The post-reionization neutral hydrogen (HI) 21-cm intensity mapping signal holds the potential to probe the large scale structures, study the expansion history and constrain various cosmological parameters. Here we apply the Tapered Gridded Estimator (TGE) to estimate the power spectrum of the redshifted 21-cm signal using a sub-band drawn from uGMRT Band 3 observations of European Large-Area ISO Survey-North 1 (ELAIS-N1). The TGE allows us to taper the sky response which suppresses the foreground contribution from sources in the periphery of the telescope's field of view. We apply the TGE on the measured visibility data to estimate the multi-frequency angular power spectrum (MAPS) from which we determine using maximum-likelihood which naturally…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsSatellite Image Processing and Photogrammetry · Robotics and Sensor-Based Localization · Remote Sensing and LiDAR Applications
