Publication details

An evaluation of source-blending impact on the calibration of SKA EoR experiments

Authors

SHAN Chenxi XU Haiguang ZHU Yongkai ZHAO Yuanyuan WHITE Sarah V LINE Jack L B ZHENG Dongchao ZHU Zhenghao HU Dan ZHANG Zhongli WU Xiangping

Year of publication 2024
Type Article in Periodical
Magazine / Source Monthly Notices of the Royal Astronomical Society
MU Faculty or unit

Faculty of Science

Citation
web https://academic.oup.com/mnras/article/534/3/2037/7783286
Doi http://dx.doi.org/10.1093/mnras/stae2168
Keywords instrumentation: interferometers; techniques: interferometric; software: simulations; dark ages; reionization; first stars; radio continuum: general; methods: data analysis
Description Twenty-one-centimetre signals from the Epoch of Reionization (EoR) are expected to be detected in the low-frequency radio window by the next-generation interferometers, particularly the Square Kilometre Array (SKA). However, precision data analysis pipelines are required to minimize the systematics within an infinitesimal error budget. Consequently, there is a growing need to characterize the sources of errors in EoR analysis. In this study, we identify one such error origin, namely source blending, which is introduced by the overlap of objects in the densely populated observing sky under SKA1-Low’s unprecedented sensitivity and resolution, and evaluate its two-fold impact in both the spatial and frequency domains using a novel hybrid evaluation (HEVAL) pipeline combining end-to-end simulation with an analytic method to mimic EoR analysis pipelines. Sky models corrupted by source blending induce small but severe frequency-dependent calibration errors when coupled with astronomical foregrounds, impeding EoR parameter inference with strong additive residuals in the two-dimensional power spectrum space. We report that additive residuals from poor calibration against sky models with blending ratios of 5 and 0.5 per?cent significantly contaminate the EoR window. In contrast, the sky model with a 0.05 per?cent blending ratio leaves little residual imprint within the EoR window, therefore identifying a blending tolerance at approximately 0.05 per?cent. Given that the SKA observing sky is estimated to suffer from an extended level of blending, strategies involving de-blending, frequency-dependent error mitigation, or a combination of both, are required to effectively attenuate the calibration impact of source-blending defects.

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