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The Correlation Calibration of PAPER-64 data

Journal
Date Issued
2022
Author(s)
Tamirat G. Gogo
•
Yin-Zhe Ma
•
Piyanat Kittiwisit
•
Jonathan L. Sievers
•
Aaron R. Parsons
•
Jonathan C. Pober
•
Daniel C. Jacobs
•
Carina Cheng
•
Matthew Kolopanis
•
Adrian Liu
•
Saul A. Kohn
•
James E. Aguirre
•
Zaki S. Ali
•
•
Richard F. Bradley
•
David R. DeBoer
•
Matthew R. Dexter
•
Joshua S. Dillon
•
Pat Klima
•
David H. E. MacMahon
•
David F. Moore
•
Chuneeta D. Nunhokee
•
William P. Walbrugh
•
Andre Walker
DOI
Abstract
Observation of redshifted 21-cm signal from the Epoch of Reionization (EoR) is challenging due to contamination from the bright foreground sources that exceed the signal by several orders of magnitude. The removal of this very high foreground relies on accurate calibration to keep the intrinsic property of the foreground with frequency. Commonly employed calibration techniques for these experiments are the sky model-based and the redundant baseline-based calibration approaches. However, the sky model-based and redundant baseline-based calibration methods could suffer from sky-modeling error and array redundancy imperfection issues, respectively. In this work, we introduce the hybrid correlation calibration ("CorrCal") scheme, which aims to bridge the gap between redundant and sky-based calibration by relaxing redundancy of the array and including sky information into the calibration formalisms. We demonstrate the slight improvement of power spectra, about $-6\%$ deviation at the bin right on the horizon limit of the foreground wedge-like structure, relative to the power spectra before the implementation of "CorrCal" to the data from the Precision Array for Probing the Epoch of Reionization (PAPER) experiment, which was otherwise calibrated using redundant baseline calibration. This small improvement of the foreground power spectra around the wedge limit could be suggestive of reduced spectral structure in the data after "CorrCal" calibration, which lays the foundation for future improvement of the calibration algorithm and implementation method.
Volume
510
Issue
2
Start page
1680
Uri
Url
Issn Identifier
0035-8711
Rights
open.access
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