The Lyot Project Coronagraph: Data processing and performance analysis

R. Soummer; B. R. Oppenheimer; S. Hinkley; A. Sivaramakrishnan; R. B. Makidon; A. Digby; D. Brenner; J. Kuhn; M. D. Perrin; L. C. Roberts; K. Kratter

doi:10.1051/eas:2006133

The Lyot Project Coronagraph: Data processing and performance analysis

R. Soummer, B. R. Oppenheimer, S. Hinkley, A. Sivaramakrishnan, R. B. Makidon, A. Digby, D. Brenner, J. Kuhn, M. D. Perrin, L. C. Roberts, K. Kratter

Research output: Contribution to journal › Conference article › peer-review

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.

Original language	English (US)
Pages (from-to)	199-212
Number of pages	14
Journal	EAS Publications Series
Volume	22
DOIs	https://doi.org/10.1051/eas:2006133
State	Published - 2006
Externally published	Yes
Event	Astronomy with High Contrast Imaging III: Instrumental Techniques, Modeling and Data Processing - Frejus, France Duration: May 16 2005 → May 19 2005

ASJC Scopus subject areas

Astronomy and Astrophysics
General Engineering
Space and Planetary Science

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10.1051/eas:2006133

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title = "The Lyot Project Coronagraph: Data processing and performance analysis",

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.",

author = "R. Soummer and Oppenheimer, {B. R.} and S. Hinkley and A. Sivaramakrishnan and Makidon, {R. B.} and A. Digby and D. Brenner and J. Kuhn and Perrin, {M. D.} and Roberts, {L. C.} and K. Kratter",

year = "2006",

doi = "10.1051/eas:2006133",

language = "English (US)",

volume = "22",

pages = "199--212",

journal = "EAS Publications Series",

issn = "1633-4760",

publisher = "EDP Sciences",

note = "Astronomy with High Contrast Imaging III: Instrumental Techniques, Modeling and Data Processing ; Conference date: 16-05-2005 Through 19-05-2005",

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TY - JOUR

T1 - The Lyot Project Coronagraph

T2 - Astronomy with High Contrast Imaging III: Instrumental Techniques, Modeling and Data Processing

AU - Soummer, R.

AU - Oppenheimer, B. R.

AU - Hinkley, S.

AU - Sivaramakrishnan, A.

AU - Makidon, R. B.

AU - Digby, A.

AU - Brenner, D.

AU - Kuhn, J.

AU - Perrin, M. D.

AU - Roberts, L. C.

AU - Kratter, K.

PY - 2006

Y1 - 2006

N2 - 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.

AB - 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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DO - 10.1051/eas:2006133

M3 - Conference article

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VL - 22

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EP - 212

JO - EAS Publications Series

JF - EAS Publications Series

Y2 - 16 May 2005 through 19 May 2005

ER -

The Lyot Project Coronagraph: Data processing and performance analysis

Abstract

ASJC Scopus subject areas

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