Precision calibration of radio interferometers using redundant baselines
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Tegmark_Precision calibration.pdf
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Author(s) • • • •
Liu, Adrian Chi-Yan
Tegmark, Max Erik
Morrison, Scott D.
Lutomirski, Andrew Michael
Zaldarriaga, Matias, 1971-
Date Issued
October 2010
Journal
Monthly Notices of the Royal Astronomical Society
Publisher
Oxford University Press on behalf of The Royal Astronomical Society
Citation
Liu, Adrian, Max Tegmark, Scott Morrison, Andrew Lutomirski, and Matias Zaldarriaga. “Precision Calibration of Radio Interferometers Using Redundant Baselines.” Monthly Notices of the Royal Astronomical Society 408, no. 2 (July 21, 2010): 1029–1050.
Version
Original manuscript
Abstract
Growing interest in 21-cm tomography has led to the design and construction of broad-band radio interferometers with low noise, moderate angular resolution, high spectral resolution and wide fields of view. With characteristics somewhat different from traditional radio instruments, these interferometers may require new calibration techniques in order to reach their design sensitivities. Self-calibration or redundant calibration techniques that allow an instrument to be calibrated off complicated sky emission structures are ideal. In particular, the large number of redundant baselines possessed by these new instruments makes redundant calibration an especially attractive option. In this paper, we explore the errors and biases in existing redundant calibration schemes through simulations, and show how statistical biases can be eliminated. We also develop a general calibration formalism that includes both redundant baseline methods and basic point source calibration methods as special cases, and show how slight deviations from perfect redundancy and coplanarity can be taken into account.
MIT Department
Massachusetts Institute of Technology. Department of Physics
MIT Kavli Institute for Astrophysics and Space Research
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Creative Commons Attribution-Noncommercial-Share Alike
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DOI of Published Version
https://doi.org/10.1111/j.1365-2966.2010.17174.x