Visibility-based Power Spectrum Estimation for Low-Frequency Radio Interferometric Observations
Samir Choudhuri

TL;DR
This paper introduces the Tapered Gridded Estimator (TGE), a fast, noise-bias-free method for estimating the power spectrum of diffuse sky signals in low-frequency radio interferometry, with applications to 21-cm cosmology.
Contribution
The paper presents a novel visibility-based estimator, TGE, that improves computational efficiency, removes noise bias, and enables field-of-view tapering for power spectrum analysis.
Findings
TGE effectively estimates the 2D and 3D power spectra from simulated and real data.
The estimator reduces computational time compared to traditional methods.
Application to GMRT data indicates dominance of diffuse Galactic synchrotron radiation in certain multipole ranges.
Abstract
We present a visibility based estimator namely, the Tapered Gridded Estimator (TGE) to estimate the power spectrum of the diffuse sky signal. The TGE has three novel features. First, the estimator uses gridded visibilities to estimate the power spectrum which is computationally much faster than individually correlating the visibilities. Second, a positive noise bias is removed by subtracting the auto-correlation of the visibilities which is responsible for the noise bias. Third, the estimator allows us to taper the field of view so as to suppress the contribution from the sources in the outer regions and the sidelobes of the telescope's primary beam. We first consider the two dimensional (2D) TGE to estimate the angular power spectrum . We have also extended the TGE to estimate the three dimensional (3D) power spectrum of the cosmological 21-cm signal. Analytic…
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Taxonomy
TopicsRadio Astronomy Observations and Technology · Antenna Design and Optimization · Adaptive optics and wavefront sensing
