Lucky imaging: High angular resolution imaging in the visible from the ground

By N. M. Law, C. Mackay, J. E. B. Ioa, Cambridge, C. Laboratory. 2005

251 citations recorded by the source corpus.

We use a Lucky Imaging system to obtain I -band images with much improved angular resolution on a 2.5 m telescope. We present results from a 10-night assessment campaign on the 2.56 m Nordic Optical Telescope and quantify the performance of our system in seeings better than 1.0 '' . In good seeing we have acquired near diffraction-limited images; in poorer seeing the angular resolution has been routinely improved by factors of 2.5–4. The system can use guide stars as faint as $I=16$ with full performance and its useful field of view is consistently larger than 40 '' diameter. The technique shows promise for a number of science programmes, both galactic (e.g. binary candidates, brown dwarfs, globular cluster cores) and extragalactic (e.g. quasar host galaxies, damped Lyman- α absorbers).

Subfields: Astronomy and Astrophysics, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/7ec0931cb114a4638d81eedbf68bbce13300f937

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Citations in the corpus

The orbit of the visual binary ADS 8630 (γ Vir) (2007, methodology): “Complementary observations of γ Vir were made on June 5th 2006 using the LuckyCam Lucky Imaging system (Law et al. 2006) on the 3.6m ESO New Technology Telescope (NTT) at La Silla Observatory, Chile (Fig.”
THE HAWAII INFRARED PARALLAX PROGRAM. I. ULTRACOOL BINARIES AND THE L/T TRANSITION, (2012, unknown): “…(2001); (41) King et al. (2010); (42) Koerner et al. (1999); (43) Konopacky et al. (2010); (44) Lagrange et al. (2010); (45) Lane et al. (2001); (46) Law et al. (2006); (47) Leggett et al. (2008); (48) Leinert et al. (1994); (49) Leinert et al. (1997); (50) Leinert et al. (2000); (51) Leinert et…”
Blind deconvolution in scientific imaging & computational photography (2011, methodology): “This in turn has led to a new method: lucky imaging, which can to some degree overcome atmospherically-induced resolution limitations of ground-based telescopes (Law et al., 2006; Oscoz et al., 2008; Hormuth et al., 2008).”
Deep Video Deblurring for Hand-Held Cameras (2017, background): “Lucky-imaging is a classic example, in which multiple low quality images are aligned and best pixels from different ones are selected and merged into the final result [15, 24].”
Hand-Held Video Deblurring Via Efficient Fourier Aggregation (2015, methodology): “Astronomical lucky frame selection methods are based on the brightness of the brightest speckle [31].”
Adversarial Spatio-Temporal Learning for Video Deblurring (2018, background): “[30] propose a lucky image system, which constructs a final image based on the best pixels from different low quality images.”