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 journalConference articlepeer-review


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 languageEnglish (US)
Pages (from-to)199-212
Number of pages14
JournalEAS Publications Series
StatePublished - 2006
EventAstronomy with High Contrast Imaging III: Instrumental Techniques, Modeling and Data Processing - Frejus, France
Duration: May 16 2005May 19 2005

ASJC Scopus subject areas

  • Astronomy and Astrophysics
  • General Engineering
  • Space and Planetary Science


Dive into the research topics of 'The Lyot Project Coronagraph: Data processing and performance analysis'. Together they form a unique fingerprint.

Cite this