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The Lyot project coronagraph: data processing and performance analysis

  • M. Carbillet, A. Ferrari, C. Aime, R. Soummer (a1), B.R. Oppenheimer (a1), S. Hinkley (a2), A. Sivaramakrishnan (a1), R.B. Makidon (a3), A. Digby (a1), D. Brenner (a1), J. Kuhn (a4), M.D. Perrin (a5), L.C. Roberts (a6) and K. Kratter (a7)...

Abstract

In this communication we illustrate the main steps required for the preprocessing of the Lyot Project Coronagraph data, starting from the raw data to the reduced data. We then discuss the estimation of the performance on direct, unocculted data, by measuring the Strehl Ratio on these images. We show that Strehl Ratios of the order of 80% can be obtained for the best images in the H Band, using the AEOS telescope adaptive optics, and the Kermit infrared camera. We then present a few methods to estimate the dynamic range in coronagraphic images, and their results are discussed.

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The Lyot project coronagraph: data processing and performance analysis

  • M. Carbillet, A. Ferrari, C. Aime, R. Soummer (a1), B.R. Oppenheimer (a1), S. Hinkley (a2), A. Sivaramakrishnan (a1), R.B. Makidon (a3), A. Digby (a1), D. Brenner (a1), J. Kuhn (a4), M.D. Perrin (a5), L.C. Roberts (a6) and K. Kratter (a7)...

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