Hostname: page-component-78c5997874-xbtfd Total loading time: 0 Render date: 2024-11-10T13:28:39.681Z Has data issue: false hasContentIssue false

GRAPHIC: The Geneva Reduction and Analysis Pipeline for High-contrast Imaging of planetary Companions

Published online by Cambridge University Press:  06 January 2014

Janis Hagelberg
Affiliation:
Observatoire de Genève, University of Geneva, 51 Chemin des Maillettes, 1290, Versoix, Switzerland email: janis.hagelberg@unige.ch
Damien Ségransan
Affiliation:
Observatoire de Genève, University of Geneva, 51 Chemin des Maillettes, 1290, Versoix, Switzerland email: janis.hagelberg@unige.ch
Stéphane Udry
Affiliation:
Observatoire de Genève, University of Geneva, 51 Chemin des Maillettes, 1290, Versoix, Switzerland email: janis.hagelberg@unige.ch
François Wildi
Affiliation:
Observatoire de Genève, University of Geneva, 51 Chemin des Maillettes, 1290, Versoix, Switzerland email: janis.hagelberg@unige.ch
Rights & Permissions [Opens in a new window]

Abstract

Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the ‘Save PDF’ action button.

We present a new analysis and reduction pipeline for the detection of planetary companions using Angular Differential Imaging. The pipeline uses Fourier transforms for image shifting and rotation in order to achieve very low signal loss. Furthermore it is parallelised in order to run on computer clusters of up to 1024 cores. The pipeline was developed in Geneva for the ongoing direct imaging campaign for stars with radial velocity drifts in the HARPS and CORALIE radial-velocity planet-search surveys. In addition to that, a disk mode has been implemented in the context of observations of the protoplanetary disk around HD142527.

Type
Contributed Papers
Copyright
Copyright © International Astronomical Union 2013 

References

Casassus, S., Plas, G., van der M, S. P., Dent, W. R.F., Fomalont, E., Hagelberg, J., Hales, A., Jordán, A., Mawet, D., Ménard, F., Wootten, A., Wilner, D., Hughes, A. M., Schreiber, M. R., Girard, J. H., Ercolano, B., Canovas, H., Román, P. E., & Salinas, V. 2013, Nature, 493, 191CrossRefGoogle Scholar
Hagelberg, J., Ségransan, D., Udry, S., Wildi, F., in prep.Google Scholar
Larkin, K. G., Oldfield, M. A., & Klemm, H. 1997, Opt. Commun., 139, 99CrossRefGoogle Scholar
Marois, C., Lafrenière, D., Doyon, R., Macintosh, B., & Nadeau, D., 2006 ApJ, 641, 556CrossRefGoogle Scholar
Milli, J., Mouillet, D., Lagrange, A.-M., Boccaletti, A., Mawet, D., Chauvin, G., Bonnefoy, M. 2012, A&A, 545, 111Google Scholar
Unser, M., Thevenaz, P., Yaroslavsky, L., 1995 IEEE IP, 4, 1371Google Scholar
Zurlo, A., Vigan, A., Hagelberg, J., Desidera, S., Chauvin, G., Almenara, J. M., Biazzo, K., Bonnefoy, M., Carson, J. C., Covino, E., Delorme, P., D'Orazi, V., Gratton, R., Mesa, D., Messina, S., Moutou, C., Ségransan, D., Turatto, M., Udry, S., & Wildi, F., 2013 A&A, 554, 21Google Scholar