A Method to Extract the Angular Power Spectrum of the Epoch of Reionization from Low-Frequency Radio Interferometers
arXiv:1209.2750 · doi:10.1088/2041-8205/758/1/L24
Abstract
The redshifted 21cm signal of neutral hydrogen from the epoch of reionization (EoR) is extremely weak and its first detection is therefore expected to be statistical with first-generation low-frequency radio interferometers. In this letter we propose a method to extract the angular power spectrum of EoR from the visibility correlation coefficients p_{ij}(u,v), instead of the visibilities V_{ij}(u,v) measured directly by radio interferometers in conventional algorithm. The visibility correlation coefficients are defined as p_{ij}(u,v)=V_{ij}(u,v)/\sqrt{|V_{ii}||V_{jj}|} by introducing the auto-correlation terms V_{ii} and V_{jj} such that the angular power spectrum C_{\ell} can be obtained through C_{\ell}=4pi^2T_0^2<|p_{ij}(u,v)|^2>, independently of the primary beams of antennas. This also removes partially the influence of receiver gains in the measurement of C_{\ell} because the amplitudes of the gains cancel each other out in the statistical average operation of <|p_{ij}(u,v)|^2>.We use the average system temperature T_0 as a calibrator of C_{\ell}, which is dominated by the Milky Way and extragalactic sources in our interested frequency range below 200 MHz. Finally we demonstrate the feasibility of the novel method using the simulated sky maps as targets and the 21 CentiMeter Array (21CMA) as interferometer.
12 pages, 3 figures. Minor corrections [an error in eq.(3) is fixed] and references added, conclusions remain unchanged. Accepted for publication in ApJL
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Cited by in corpus (5)
- 21 cm signal from cosmic dawn: Imprints of spin temperature fluctuations and peculiar velocities
- The Importance of Wide-field Foreground Removal for 21 cm Cosmology: A Demonstration With Early MWA Epoch of Reionization Observations
- The radio environment of the 21 Centimeter Array: RFI detection and mitigation
- Direct Parameter Inference from Global EoR Signal with Bayesian Statistics
- Performance of the Segment Anything Model in Various RFI/Events Detection in Radio Astronomy