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تسجيل مستخدم جديدDevelopment of a High Throughput Cloud-Based Data Pipeline for 21 cm Cosmology
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We present a case study of a cloud-based computational workflow for processing large astronomical data sets from the Murchison Widefield Array (MWA) cosmology experiment. Cloud computing is well-suited to large-scale, episodic computation because it offers extreme scalability in a pay-for-use model. This facilitates fast turnaround times for testing computationally expensive analysis techniques. We describe how we have used the Amazon Web Services (AWS) cloud platform to efficiently and economically test and implement our data analysis pipeline. We discuss the challenges of working with the AWS spot market, which reduces costs at the expense of longer processing turnaround times, and we explore this tradeoff with a Monte Carlo simulation.
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Calibration precision is currently a limiting systematic in 21 cm cosmology experiments. While there are innumerable calibration approaches, most can be categorized as either `sky-based, relying on an extremely accurate model of astronomical foregrou
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The Hydrogen Epoch of Reionization Array Collaboration
, Jamesn E. Aguirre
, Adam P. Beardsley
2019
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