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Blackburn_2019_ApJ_882_23.pdf
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Final Published Version
Author
Blackburn, LindyChan, Chi-Kwan
Crew, Geoffrey B.
Fish, Vincent L.
Issaoun, Sara
Johnson, Michael D.
Wielgus, Maciek
Akiyama, Kazunori
Barrett, John
Bouman, Katherine L.
Cappallo, Roger
Chael, Andrew A.
Janssen, Michael
Lonsdale, Colin J.
Doeleman, Sheperd S.
Affiliation
Univ ArizonaIssue Date
2019-08-28
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IOP PUBLISHING LTDCitation
Lindy Blackburn et al 2019 ApJ 882 23Journal
ASTROPHYSICAL JOURNALRights
Copyright © 2019. The American Astronomical Society.Collection Information
This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.Abstract
We present the design and implementation of an automated data calibration and reduction pipeline for very long baseline interferometric (VLBI) observations taken at millimeter wavelengths. These short radio wavelengths provide the best imaging resolution available from ground-based VLBI networks such as the Event Horizon Telescope (EHT) and the Global Millimeter VLBI Array (GMVA) but require specialized processing owing to the strong effects from atmospheric opacity and turbulence, as well as the heterogeneous nature of existing global arrays. The pipeline builds on a calibration suite (HOPS) originally designed for precision geodetic VLBI. To support the reduction of data for astronomical observations, we have developed an additional framework for global phase and amplitude calibration that provides output in a standard data format for astronomical imaging and analysis. The pipeline was successfully used toward the reduction of 1.3 mm observations from the EHT 2017 campaign, leading to the first image of a black hole "shadow" at the center of the radio galaxy M87. In this work, we analyze observations taken at 3.5 mm (86 GHz) by the GMVA, joined by the phased Atacama Large Millimeter/submillimeter Array in 2017 April, and demonstrate the benefits from the specialized processing of high-frequency VLBI data with respect to classical analysis techniques.ISSN
0004-637XVersion
Final published versionSponsors
National Science Foundation [AST-1126433, AST-1614868, AST-1716536]; Gordon and Betty Moore Foundation [GBMF-5278]; black hole Initiative at Harvard University; John Templeton Foundation; ERC Synergy Grant "BlackHoleCam: Imaging the Event Horizon of Black Holes" [610058]ae974a485f413a2113503eed53cd6c53
10.3847/1538-4357/ab328d