Delay Spectrum with Phase-Tracking Arrays: Extracting the HI power spectrum from the Epoch of Reionization
Sourabh Paul, Shiv K. Sethi, Miguel F. Morales, K. S. Dwarkanath, N., Udaya Shankar, Ravi Subrahmanyan, N. Barry, A. P. Beardsley, Judd D. Bowman,, F. Briggs, P. Carroll, A. de Oliveira-Costa, Joshua S. Dillon, A. Ewall-Wice,, L. Feng, L. J. Greenhill, B. M. Gaensler

TL;DR
This paper introduces a novel delay spectrum method tailored for phase-tracking radio interferometers to extract the HI power spectrum from the Epoch of Reionization, addressing challenges posed by foregrounds and wide field effects.
Contribution
It extends the delay spectrum approach to non-redundant tracking arrays, enabling analysis of data from instruments like MWA, LOFAR, GMRT, PAPER, and HERA.
Findings
Successfully applied to 3 hours of MWA data
Produced consistent 2D and 1D power spectra
First application of delay spectrum to non-redundant tracking arrays
Abstract
The Detection of redshifted 21 cm emission from the epoch of reionization (EoR) is a challenging task owing to strong foregrounds that dominate the signal. In this paper, we propose a general method, based on the delay spectrum approach, to extract HI power spectra that is applicable to tracking observations using an imaging radio interferometer (Delay Spectrum with Imaging Arrays (DSIA)). Our method is based on modelling the HI signal taking into account the impact of wide field effects such as the -term which are then used as appropriate weights in cross-correlating the measured visibilities. Our method is applicable to any radio interferometer that tracks a phase center and could be utilized for arrays such as MWA, LOFAR, GMRT, PAPER and HERA. In the literature the delay spectrum approach has been implemented for near-redundant baselines using drift scan observations. In this…
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.
