DiFX-2: A More Flexible, Efficient, Robust, and Powerful Software Correlator

Software correlation, where a correlation algorithm written in a high-level language such as C++ is run on commodity computer hardware, has become increasingly attractive for small-to medium-sized and/or bandwidth-constrained radio interferometers. In particular, many long-baseline arrays (which typ...

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Bibliographic Details
Main Authors: Deller, A. T., Brisken, W. F., Phillips, C. J., Morgan, John, Alef, W., Cappallo, R., Middelberg, E., Romney, J., Rottmann, H., Tingay, Steven, Wayth, Randall
Format: Journal Article
Published: University of Chicago Press 2011
Subjects:
Online Access:http://hdl.handle.net/20.500.11937/32383
Description
Summary:Software correlation, where a correlation algorithm written in a high-level language such as C++ is run on commodity computer hardware, has become increasingly attractive for small-to medium-sized and/or bandwidth-constrained radio interferometers. In particular, many long-baseline arrays (which typically have fewer than 20 elements and are restricted in observing bandwidth by costly recording hardware and media) have utilized software correlators for rapid, cost-effective, correlator upgrades to allow compatibility with new, wider-bandwidth, recording systems and to improve correlator flexibility. The DiFX correlator, made publicly available in 2007, has been a popular choice in such upgrades and is now used for production correlation by a number of observatories and research groups worldwide. Here, we describe the evolution in the capabilities of the DiFX correlator over the past three years, including a number of new capabilities, substantial performance improvements, and a large amount of supporting infrastructure to ease use of the code. New capabilities include the ability to correlate a large number of phase centers in a single correlation pass, the extraction of phase-calibration tones, correlation of disparate but overlapping sub-bands, the production of rapidly sampled filter-bank and kurtosis data at minimal cost, and many more. The latest version of the code is at least 15% faster than the original (and in certain situations, many times this value). Finally, we also present detailed test results validating the correctness of the new code.