Title: Data Reduction and Image Reconstruction Techniques for Non-Redundant Masking,
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 datasets 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.