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Title:
Successes and challenges of the APP Coronagraph
Authors:
Kenworthy, Matthew A.; Quanz, Sascha; Otten, Gilles; Meshkat, Tiffany; Codona, Johanan; Snik, Frans; Meyer, Michael E.; Kasper, Markus; Girard, Julien
Affiliation:
AA(Leiden Observatory, Leiden University, P.O. Box 9513, 2300 RA Leiden, The Netherlands ), AB(Institute for Astronomy, ETH Zurich, CH-8093 Zurich, Switzerland), AC(Leiden Observatory, Leiden University, P.O. Box 9513, 2300 RA Leiden, The Netherlands ), AD(Leiden Observatory, Leiden University, P.O. Box 9513, 2300 RA Leiden, The Netherlands ), AE(Steward Observatory, 933 N. Cherry Avenue, Tucson, AZ 85721), AF(Leiden Observatory, Leiden University, P.O. Box 9513, 2300 RA Leiden, The Netherlands ), AG(Institute for Astronomy, ETH Zurich, CH-8093 Zurich, Switzerland), AH(European Southern Observatory, Garching bei Munchen, Germany), AI(European Southern Observatory, Vitacura, Cassilla 19001, Santiago, Chile)
Publication:
Exploring the Formation and Evolution of Planetary Systems, Proceedings of the International Astronomical Union, IAU Symposium, Volume 299, pp. 40-41
Publication Date:
01/2014
Origin:
CUP
Keywords:
instrumentation: high angular resolution, stars: planetary systems, stars: individual (beta Pic, HD 100546),
Abstract Copyright:
(c) 2014: Copyright © International Astronomical Union 2013
DOI:
10.1017/S1743921313007771
Bibliographic Code:
2014IAUS..299...40K

Abstract

The Apodizing Phase Plate (APP) coronagraph has been used to image the exoplanet beta Pictoris b and the protoplanet candidate around HD 100546, and is currently in use in surveys with NaCo at the VLT. Its success is due to its tolerance to tip-tilt pointing errors in current AO systems, which degrade the performance of nearly all other coronagraphs. Currently the sensitivity of the APP is limited by non-common path errors in the science camera systems and by its chromatic behaviour. We present the achromatized Vector APP coronagraph and address how we will measure and minimise non-common path errors with Focal Plane Wavefront Sensing algorithms.

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