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Published August 2013 | public
Journal Article

An AIPS-based, distributed processing method for large radio interferometric datasets

Abstract

The data output rates of modern radio interferometric telescopes make the traditional data reduction process impractical in many cases. We report on the implementation of a lightweight infrastructure, named AIPSLite, that enables the deployment of AIPS interferometric processing routines on distributed systems in an autonomous and fault tolerant manner. We discuss how this approach was used to search for sources of 6.7 GHz methanol maser emission in the Cep A region with the European VLBI Network (EVN). The field was searched out to a radius of 1.25 min^(−1) at milli-arcsecond spatial resolution and 1024 frequency channels with 0.088 km s^(−1) velocity resolution. The imaged data was on the order of 30 TB. Processing was performed on 128 processors of the Irish Centre for High End Computing (ICHEC) linux cluster with a run time of 42 h, and a total of 212 CPU days.

Additional Information

© 2013 Springer Science+Business Media B.V. Received: 20 February 2012; Accepted: 3 September 2012; Published online: 17 April 2013. George Heald is thanked for his useful comments on the manuscript. Salvador Curiel is thanked for his continuum image of Cep A. S.B. acknowledges support by Enterprise Ireland, Science Foundation Ireland, and the Higher Education Authority. K.T. acknowledges support by the EU Framework 6 Marie Curie Early Stage Training programme under contract number MEST-CT-2005-19669 "ESTRELA". This effort is supported by the European Community Framework Programme 7, Advanced Radio Astronomy in Europe, grant agreement no.: 227290. ParselTongue was developed in the context of the ALBUS project, which has benefited from research funding from the European Community's sixth Framework Programme under RadioNet R113CT 2003 5058187. The authors wish to acknowledge the SFI/HEA Irish Centre for High-End Computing (ICHEC) for the provision of computational facilities and support.

Additional details

Created:
August 22, 2023
Modified:
October 24, 2023