Title:	Synthetic observations with the Square Kilometre Array: Development towards an end-to-end pipeline
Authors:	Mazumder, Aishrila Datta, Abhirup Mayuri Sathyanarayana, Rao Chakraborty, Arnab Singh, Saurabh Tripathi, Anshuman Choudhury, Madhurima
Keywords:	Methods: statistical Data analysis—techniques Interferometric—cosmology Diffuse radiation
Issue Date:	13-Mar-2023
Publisher:	Indian Academy of Sciences
Citation:	Journal of Astrophysics and Astronomy, 2023, Vol.44, Article No.19
Abstract:	Detection of the redshifted 21-cm signal of neutral hydrogen from the cosmic dawn and the epochof reionization (EoR) is one of the final frontiers of modern observational cosmology. The inherently faint signal makes it susceptible to contamination by several sources like astrophysical foregrounds and instrumental systematics. Nevertheless, developments achieved in the recent developments will combine to make signal detection possible with the upcoming Square Kilometer Array (SKA), both statistically and via tomography. This review describes an indigenously developed end-to-end pipeline that simulates sensitive interferometric observations. Itmainly focuses on the requirements forHi detection in interferometers. In its present form, itcan mimic the effects of realistic point source foregrounds and systematics—calibration error and position error on 21-cm observations. The performance of the pipeline is demonstrated for test cases with 0.01% calibration error and position error. Its performance is consistent across telescope, foreground and signal models. The focus of the simulation pipeline during the initial stages was for EoR science. But since this is a general interferometric simulation pipeline, it will be helpful to the entire SKA user community, irrespective of the science goals.
Description:	Restricted Access. An open-access version is available at arXiv.org (one of the alternative locations)
URI:	http://hdl.handle.net/2289/8215
ISSN:	0250-6335 (print) 0973-7758 (online)
Alternative Location:	https://ui.adsabs.harvard.edu/abs/2023JApA...44...19M/abstract https://arxiv.org/abs/2211.04302 https://doi.org/10.1007/s12036-022-09906-8
Copyright:	2023, The Publisher
Appears in Collections:	Research Papers (A&A)

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