J 2024

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

SHAN, Chenxi; Haiguang XU; Yongkai ZHU; Yuanyuan ZHAO; Sarah V WHITE et. al.

Základní údaje

Originální název

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

Autoři

SHAN, Chenxi; Haiguang XU; Yongkai ZHU; Yuanyuan ZHAO; Sarah V WHITE; Jack L B LINE; Dongchao ZHENG; Zhenghao ZHU; Dan HU (156 Čína, domácí); Zhongli ZHANG a Xiangping WU

Vydání

Monthly Notices of the Royal Astronomical Society, Oxford University Press, 2024, 0035-8711

Další údaje

Jazyk

angličtina

Typ výsledku

Článek v odborném periodiku

Obor

10308 Astronomy

Stát vydavatele

Velká Británie a Severní Irsko

Utajení

není předmětem státního či obchodního tajemství

Odkazy

Impakt faktor

Impact factor: 4.800 v roce 2023

Kód RIV

RIV/00216224:14310/24:00137957

Organizační jednotka

Přírodovědecká fakulta

UT WoS

001330887900002

EID Scopus

2-s2.0-85207087829

Klíčová slova anglicky

instrumentation: interferometers; techniques: interferometric; software: simulations; dark ages; reionization; first stars; radio continuum: general; methods: data analysis

Štítky

Příznaky

Mezinárodní význam, Recenzováno
Změněno: 10. 12. 2024 15:27, Mgr. Marie Novosadová Šípková, DiS.

Anotace

V originále

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.