Complete Sampling of the uv Plane with Realistic Radio Arrays: Introducing the RULES Algorithm, with Application to 21 cm Foreground Wedge Removal
Abstract
We introduce the Radio-array uv Layout Engineering Strategy (RULES), an algorithm for designing radio arrays that achieve complete coverage of the uv plane. Coverage is defined as, at minimum, regular sampling at half the observing wavelength ( λ ) along the u- and v -axes within a specified range of baseline lengths. Using RULES, we generate uv -complete layouts that cover the range 10 λ ≤ ∥ u ∥ ≤ 100 λ with fewer than 1000 antennas of diameter 5 λ , comparable to current and planned arrays. We demonstrate the effectiveness of such arrays for mitigating contamination from bright astrophysical foregrounds in 21 cm Epoch of Reionization observations—particularly in the region of Fourier space known as the foreground wedge —by simulating visibilities of foreground-like sky models over the 130–150 MHz band and processing them through an image-based power spectrum estimator. We find that with complete uv coverage, the wedge power is suppressed by 16 orders of magnitude compared to an array with a compact hexagonal layout (used as a reference for sparse uv coverage). In contrast, we show that an array with the same number of antennas but in a random configuration only suppresses the wedge by 3 orders of magnitude, despite sampling more distinct uv points over the same range. We address real-world challenges, and find that our results are sensitive to small antenna position errors and missing baselines, while still performing equally or significantly better than random arrays in any case. We propose ways to mitigate those challenges such as a minimum redundancy requirement or tighter uv packing density.
Copyright and License
© 2026. The Author(s). Published by the American Astronomical Society. Original content from this work may be used under the terms of the Creative Commons Attribution 4.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.
Acknowledgement
We thank Bryna Hazelton and Honggeun Kim for their assistance with the FHD/εppsilon and 21cmFAST softwares, respectively, and Tyler Cox, Joshua Dillon, Miguel Morales, and Steven Murray for insightful discussions that helped shape this paper. V.M. and J.N.H. gratefully acknowledge support from the MIT School of Science and the Gordon and Betty Moore Foundation (the latter through grant No. GBMF5212 to the Massachusetts Institute of Technology). R.B. is supported by the National Science Foundation award No. 2303952.
Software References
All softwares used in this paper are available publicly, starting with the RULES algorithm itself. The visibility simulations were computed with pyuvsim (github.com/vincentmackay/uvrules; A. E. Lanman et al. 2019), while the power spectra were computed using the DOM (github.com/HERA-Team/direct_optimal_mapping; Z. Xu et al. 2022; Z. Xu et al. 2024), FHD/εppsilon (github.com/EoRImaging/FHD, github.com/EoRImaging/eppsilon; N. Barry et al. 2019), and hera_pspec (github.com/HERA-Team/hera_pspec; D. R. DeBoer et al. 2017; L. M. Berkhout et al. 2024) frameworks. The 21cmFast (github.com/21cmfast/21cmFAST; A. Mesinger et al. 2011; S. Murray et al. 2020) simulations were tiled with the cosmotile package (github.com/steven-murray/cosmotile; P. Kittiwisit et al. 2018).
Files
MacKay_2026_ApJ_999_96.pdf
Additional details
Related works
- Is new version of
- Discussion Paper: arXiv:2509.15296 (arXiv)
Funding
- Massachusetts Institute of Technology
- Gordon and Betty Moore Foundation
- GBMF5212
- National Science Foundation
- 2303952
Dates
- Submitted
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2025-09-11
- Accepted
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2026-01-12
- Available
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2026-02-25Published
Caltech Custom Metadata
- Caltech groups
- Division of Physics, Mathematics and Astronomy (PMA)
- Publication Status
- Published