Data Reduction and Image Reconstruction Techniques for Non-redundant Masking

S. Sallum, Joshua A Eisner

Research output: Contribution to journalArticle

4 Citations (Scopus)

Abstract

The technique of non-redundant masking (NRM) transforms a conventional telescope into an interferometric array. In practice, this provides a much better constrained point-spread function than a filled aperture and thus higher resolution than traditional imaging methods. Here, we describe an NRM data reduction pipeline. We discuss strategies for NRM observations regarding dithering patterns and calibrator selection. We describe relevant image calibrations and use example Large Binocular Telescope data sets to show their effects on the scatter in the Fourier measurements. We also describe the various ways to calculate Fourier quantities, and discuss different calibration strategies. We present the results of image reconstructions from simulated observations where we adjust prior images, weighting schemes, and error bar estimation. We compare two imaging algorithms and discuss implications for reconstructing images from real observations. Finally, we explore how the current state of the art compares to next-generation Extremely Large Telescopes.

Original languageEnglish (US)
Article number9
JournalAstrophysical Journal, Supplement Series
Volume233
Issue number1
DOIs
StatePublished - Nov 1 2017

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data reduction
masking
image reconstruction
telescopes
point spread functions
calibration
imaging method
apertures
transform
high resolution

Keywords

  • data analysis - techniques
  • high angular resolution - techniques
  • image processing - techniques
  • interferometric
  • methods

ASJC Scopus subject areas

  • Astronomy and Astrophysics
  • Space and Planetary Science

Cite this

Data Reduction and Image Reconstruction Techniques for Non-redundant Masking. / Sallum, S.; Eisner, Joshua A.

In: Astrophysical Journal, Supplement Series, Vol. 233, No. 1, 9, 01.11.2017.

Research output: Contribution to journalArticle

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