4.7 Article

Interferometric Imaging Directly with Closure Phases and Closure Amplitudes

期刊

ASTROPHYSICAL JOURNAL
卷 857, 期 1, 页码 -

出版社

IOP PUBLISHING LTD
DOI: 10.3847/1538-4357/aab6a8

关键词

accretion, accretion disks; black hole physics; Galaxy: center; techniques: high angular resolution; techniques: image processing

资金

  1. National Science Foundation [AST-1440254, AST-1614868, AST-1312651]
  2. Gordon and Betty Moore Foundation [GBMF-5278]
  3. Black Hole Initiative at Harvard University
  4. John Templeton Foundation
  5. Jansky Fellowship of the National Radio Astronomy Observatory
  6. NASA through Fermi Guest Investigator Program
  7. Associated Universities, Inc.
  8. Direct For Mathematical & Physical Scien [1614868] Funding Source: National Science Foundation

向作者/读者索取更多资源

Interferometric imaging now achieves angular resolutions as fine as similar to 10 mu as, probing scales that are inaccessible to single telescopes. Traditional synthesis imaging methods require calibrated visibilities; however, interferometric calibration is challenging, especially at high frequencies. Nevertheless, most studies present only a single image of their data after a process of self-calibration, an iterative procedure where the initial image and calibration assumptions can significantly influence the final image. We present a method for efficient interferometric imaging directly using only closure amplitudes and closure phases, which are immune to station-based calibration errors. Closure-only imaging provides results that are as noncommittal as possible and allows for reconstructing an image independently from separate amplitude and phase self-calibration. While closure-only imaging eliminates some image information (e.g., the total image flux density and the image centroid), this information can be recovered through a small number of additional constraints. We demonstrate that closure-only imaging can produce high-fidelity results, even for sparse arrays such as the Event Horizon Telescope, and that the resulting images are independent of the level of systematic amplitude error. We apply closure imaging to VLBA and ALMA data and show that it is capable of matching or exceeding the performance of traditional self-calibration and CLEAN for these data sets.

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