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Proceedings Paper

Data reduction strategies for lucky imaging
Author(s): Tim D. Staley; Craig D. Mackay; David King; Frank Suess; Keith Weller
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Paper Abstract

Lucky imaging is a proven technique for near diffraction limited imaging in the visible; however, data reduction and analysis techniques are relatively unexplored in the literature. In this paper we use both simulated and real data to test and calibrate improved guide star registration methods and noise reduction techniques. In doing so we have produced a set of "best practice" recommendations. We show a predicted relative increase in Strehl ratio of ~ 50% compared to previous methods when using faint guide stars of ~17th magnitude in I band, and demonstrate an increase of 33% in a real data test case. We also demonstrate excellent signal to noise in real data at flux rates less than 0.01 photons per pixel per frame above the background flux level.

Paper Details

Date Published: 20 July 2010
PDF: 12 pages
Proc. SPIE 7735, Ground-based and Airborne Instrumentation for Astronomy III, 77355Z (20 July 2010); doi: 10.1117/12.856128
Show Author Affiliations
Tim D. Staley, Univ. of Cambridge (United Kingdom)
Craig D. Mackay, Univ. of Cambridge (United Kingdom)
David King, Univ. of Cambridge (United Kingdom)
Frank Suess, Univ. of Cambridge (United Kingdom)
Keith Weller, Univ. of Cambridge (United Kingdom)


Published in SPIE Proceedings Vol. 7735:
Ground-based and Airborne Instrumentation for Astronomy III
Ian S. McLean; Suzanne K. Ramsay; Hideki Takami, Editor(s)

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