A Bayesian approach to high-fidelity interferometric calibration – I. Mathematical formalism
A Bayesian approach to high-fidelity interferometric calibration – I. Mathematical formalism
复制标题
高保真干涉校准的贝叶斯方法 — I. 数学形式主义
DOI:
10.1093/mnras/stac1861
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发表时间:
2022
影响因子:
4.8
通讯作者:
Sievers, Jonathan L.
中科院分区:
文献类型:
--
作者:
Sims, Peter H.;Pober, Jonathan C.;Sievers, Jonathan L.
In a companion paper, we presentedbayescal, a mathematical formalism for mitigating sky-model incompleteness in interferometric calibration. In this paper, we demonstrate the use ofbayescalto calibrate the degenerate gain parameters of full-Stokes simulated observations with a HERA-like hexagonal close-packed redundant array, for three assumed levels of completeness of thea prioriknown component of the calibration sky model. We compare thebayescalcalibration solutions to those recovered by calibrating the degenerate gain parameters with only thea prioriknown component of the calibration sky model both with and without imposing physically motivated priors on the gain amplitude solutions and for two choices of baseline length range over which to calibrate. We find thatbayescalprovides calibration solutions with up to 4 orders of magnitude lower power in spurious gain amplitude fluctuations than the calibration solutions derived for the same data set with the alternate approaches, and between ∼107and ∼1010times smaller than in the mean degenerate gain amplitude, on the full range of spectral scales accessible in the data. Additionally, we find that in the scenarios modelled onlybayescalhas sufficiently high fidelity calibration solutions for unbiased recovery of the 21-cm power spectrum on large spectral scales (k∥≲ 0.15hMpc−1). In all other cases, in the completeness regimes studied, those scales are contaminated.