Foreground Contamination in Interferometric Measurements of the Redshifted 21 cm Power Spectrum
Judd D. Bowman (Caltech), Miguel F. Morales (UW), Jacqueline N. Hewitt, (MIT)

TL;DR
This study demonstrates effective subtraction of foreground contamination from simulated MWA measurements, accurately recovering the 21 cm power spectrum despite instrumental effects, with results influenced by weighting schemes and uv-coverage density.
Contribution
First simulation including instrumental effects showing foreground subtraction can recover the 21 cm power spectrum with high accuracy, highlighting importance of weighting and uv-coverage.
Findings
Foreground subtraction recovers the power spectrum within 1% accuracy.
Uniform weighting yields better foreground removal than natural weighting.
Dense uv-coverage enhances the effectiveness of the subtraction technique.
Abstract
Subtraction of astrophysical foreground contamination from "dirty" sky maps produced by simulated measurements of the Murchison Widefield Array (MWA) has been performed by fitting a 3rd-order polynomial along the spectral dimension of each pixel in the data cubes. The simulations are the first to include the unavoidable instrumental effects of the frequency-dependent primary antenna beams and synthesized array beams. They recover the one-dimensional spherically-binned input redshifted 21 cm power spectrum to within approximately 1% over the scales probed most sensitively by the MWA (0.01 < k < 1 Mpc^-1) and demonstrate that realistic instrumental effects will not mask the EoR signal. We find that the weighting function used to produce the dirty sky maps from the gridded visibility measurements is important to the success of the technique. Uniform weighting of the visibility measurements…
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