Speckle temporal stability in XAO coronagraphic images

Context. The major source of noise limiting high-contrast imaging is caused by quasi-static speckles. Speckle noise originates from wavefront errors caused by various independent sources, and evolves on different timescales depending on their nature. An understanding of how quasi-static speckles originate from instrumental errors is paramount to the search for faint stellar companions. Instrumental speckles average to form a fixed pattern, which can be calibrated to a certain extent, but their temporal evolution ultimately limits this possibility. Aims. This study focuses on the laboratory evidence and characterization of the quasi-static pinned speckle phenomenon. Specifically, we examine the coherent amplification of the static speckle contribution to the noise variance in the scientific image, through its interaction with quasi-static speckles. Methods. The analysis of a time series of adaptively corrected, coronagraphic images recorded in the laboratory enables the characterization of the temporal stability of the residual speckle pattern in both direct and differential coronagraphic images. Results. We estimate that spoiled and rapidly evolving quasi-static speckles present in the system at the angstrom/nanometer level affect the stability of the static speckle noise in the final image after the coronagraph. The temporal evolution of the quasi-static wavefront error exhibits a linear power law, which can be used to first order to model quasi-static speckle evolution in high-contrast imaging instruments.

[1]  Near-IR coronagraphic imaging of the companion to HR 7672 , 2003, astro-ph/0308426.

[2]  Gordon A. H. Walker,et al.  Speckle Noise and the Detection of Faint Companions , 1999 .

[3]  C. Aime,et al.  Stellar coronagraphy with prolate apodized circular apertures , 2003 .

[4]  C. Aime,et al.  Speckle Noise and Dynamic Range in Coronagraphic Images , 2007, 0706.1739.

[5]  Jr.,et al.  A New High Contrast Imaging Program at Palomar Observatory , 2010, 1012.0008.

[6]  Russell B. Makidon,et al.  Temporal Evolution of Coronagraphic Dynamic Range and Constraints on Companions to Vega , 2006, astro-ph/0609337.

[7]  A. Boccaletti,et al.  The Four‐Quadrant Phase Mask Coronagraph. IV. First Light at the Very Large Telescope , 2004 .

[8]  W. Welford Principles of optics (5th Edition): M. Born, E. Wolf Pergamon Press, Oxford, 1975, pp xxviii + 808, £9.50 , 1975 .

[9]  University of British Columbia,et al.  Differential Simultaneous Imaging and Faint Companions: TRIDENT First Results from CFHT , 2002 .

[10]  A. Duparré,et al.  Surface characterization techniques for determining the root-mean-square roughness and power spectral densities of optical components. , 2002, Applied optics.

[11]  P.,et al.  Laboratory Demonstration of Efficient XAO Coronagraphy in the Context of SPHERE , 2010 .

[12]  J. Baudrand,et al.  Laboratory comparison of coronagraphic concepts under dynamical seeing and high-order adaptive optics correction , 2011, 1102.3197.

[13]  D. A. Golimowski,et al.  A Coronagraphic Survey for Companions of Stars within 8 Parsecs , 2001 .

[14]  D. Mouillet,et al.  A STELLAR CORONOGRAPH FOR THE COME-ON-PLUS ADAPTIVE OPTICS SYSTEM. II. FIRST ASTRONOMICAL RESULTS , 1997 .

[15]  B. Macintosh,et al.  Angular Differential Imaging: A Powerful High-Contrast Imaging Technique , 2005, astro-ph/0512335.

[16]  C. Dorrer,et al.  Design, analysis, and testing of a microdot apodizer for the Apodized Pupil Lyot Coronagraph , 2008, 0810.5678.

[17]  Etienne Artigau,et al.  A New Algorithm for Point-Spread Function Subtraction in High-Contrast Imaging: A Demonstration with Angular Differential Imaging , 2007, astro-ph/0702697.