The Role of the Instrumental Response in 21 cm EoR Power Spectrum Gridding Analyses
Nichole Barry, Aman Chokshi

TL;DR
This paper investigates how the shape and extent of the instrumental response kernel affect 21 cm EoR power spectrum measurements, revealing limitations of simple calibration and gridding techniques for widefield radio interferometers.
Contribution
It demonstrates the importance of kernel shape and extent in EoR measurements and shows that simple calibration methods are insufficient for widefield instruments like the MWA.
Findings
Kernel must extend to 0.001--0.0001% of maximum for EoR detection.
Compact kernels require smaller extents but have higher errors.
Pixelated degridding cannot recover the EoR due to catastrophic errors.
Abstract
Reconstruction of the sky brightness measured by radio interferometers is typically achieved through gridding techniques, or histograms in spatial Fourier space. For Epoch of Reionisation (EoR) 21 cm power spectrum measurements, extreme levels of gridding resolution are required to reduce spectral contamination, as explored in other works. However, the role of the shape of the Fourier space spreading function, or kernel, also has consequences in reconstructed power spectra. We decompose the instrumental Murchison Widefield Array (MWA) beam into a series of Gaussians and simulate the effects of finite kernel extents and differing shapes in gridding/degridding for optimal map making analyses. For the MWA, we find that the kernel must extend out to 0.001--0.0001% of the maximum value in order to measure the EoR using foreground avoidance. This requirement changes depending on beam shape,…
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
TopicsRadio Astronomy Observations and Technology · Superconducting and THz Device Technology · Direction-of-Arrival Estimation Techniques
