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The Lyot project coronagraph: data processing and performance analysis

Published online by Cambridge University Press:  13 October 2006

M. Carbillet ,
A. Ferrari ,
C. Aime ,
R. Soummer ,
B.R. Oppenheimer ,
S. Hinkley ,
A. Sivaramakrishnan ,
R.B. Makidon ,
A. Digby  and
D. Brenner
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R. Soummer
Affiliation:
American Museum of Natural History, Department of Astrophysics, 79th Street at Central Park West, New York, NY 10024, USA
B.R. Oppenheimer
Affiliation:
American Museum of Natural History, Department of Astrophysics, 79th Street at Central Park West, New York, NY 10024, USA
S. Hinkley
Affiliation:
Department of Astronomy, Columbia University, 550 West 120th Street, New York, NY 10027, USA
A. Sivaramakrishnan
Affiliation:
American Museum of Natural History, Department of Astrophysics, 79th Street at Central Park West, New York, NY 10024, USA
R.B. Makidon
Affiliation:
Space Telescope Science Institute, 3700 San Martin Drive, Baltimore, MD 21218, USA
A. Digby
Affiliation:
American Museum of Natural History, Department of Astrophysics, 79th Street at Central Park West, New York, NY 10024, USA
D. Brenner
Affiliation:
American Museum of Natural History, Department of Astrophysics, 79th Street at Central Park West, New York, NY 10024, USA
J. Kuhn
Affiliation:
Institute for Astronomy, University of Hawaii, 2680 Woodlawn Drive, Honolulu, HI 96822, USA
M.D. Perrin
Affiliation:
Department of Astronomy, 601 Campbell Hall, University of California Berkeley, CA 94720, USA
L.C. Roberts Jr.
Affiliation:
The Boeing Company, 535 Lipoa Parkway, Suite 200, Kihei, HI 96753, USA
K. Kratter
Affiliation:
Department of Physics and Astronomy, Barnard College, Columbia University, New York, NY 10027, USA
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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.

Type
Research Article
Information
European Astronomical Society Publications Series , Volume 22: Astronomy with High Contrast Imaging III: Instrumental Techniques, Modeling and Data Processing , 2006 , pp. 199 - 212
Copyright
© EAS, EDP Sciences, 2006

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