The Thresher: lucky imaging without the waste

J A Hitchcock*, D M Bramich, D Foreman-Mackey, David W Hogg, M Hundertmark

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

2 Downloads (Pure)

Abstract

In traditional lucky imaging (TLI), many consecutive images of the same scene are taken with a high frame-rate camera, and all but the sharpest images are discarded before constructing the final shift-and-add image. Here, we present an alternative image analysis pipeline – The Thresher – for these kinds of data, based on online multi-frame blind deconvolution. It makes use of all available data to obtain the best estimate of the astronomical scene in the context of reasonable computational limits; it does not require prior estimates of the point-spread functions in the images, or knowledge of point sources in the scene that could provide such estimates. Most importantly, the scene it aims to return is the optimum of a justified scalar objective based on the likelihood function. Because it uses the full set of images in the stack, The Thresher outperforms TLI in signal-to-noise ratio; as it accounts for the individual-frame PSFs, it does this without loss of angular resolution. We demonstrate the effectiveness of our algorithm on both simulated data and real Electron-Multiplying CCD images obtained at the Danish 1.54-m telescope (hosted by ESO, La Silla). We also explore the current limitations of the algorithm, and find that for the choice of image model presented here, non-linearities in flux are introduced into the returned scene. Ongoing development of the software can be viewed at https://github.com/jah1994/TheThresher.
Original languageEnglish
Pages (from-to)5372-5384
Number of pages13
JournalMonthly Notices of the Royal Astronomical Society
Volume511
Issue number4
Early online date17 Feb 2022
DOIs
Publication statusPublished - Apr 2022

Keywords

  • Instrumentation: detectors
  • Methods: data analysis
  • Techniques: image processing

Fingerprint

Dive into the research topics of 'The Thresher: lucky imaging without the waste'. Together they form a unique fingerprint.

Cite this