VIP: Vortex Image Processing Package for High-contrast Direct Imaging
We present the Vortex Image Processing (VIP) library, a python package dedicated to astronomical high-contrast imaging. Our package relies on the extensive python stack of scientific libraries and aims to provide a flexible framework for high-contrast data and image processing. In this paper, we des...
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ndltd-arizona.edu-oai-arizona.openrepository.com-10150-6246762017-07-14T03:00:35Z VIP: Vortex Image Processing Package for High-contrast Direct Imaging Gomez Gonzalez, Carlos Alberto Wertz, Olivier Absil, Olivier Christiaens, Valentin Defrère, Denis Mawet, Dimitri Milli, Julien Absil, Pierre-Antoine Van Droogenbroeck, Marc Cantalloube, Faustine Hinz, Philip M. Skemer, Andrew J. Karlsson, Mikael Surdej, Jean Univ Arizona, Dept Astron, Steward Observ methods: data analysis planetary systems planets and satellites: detection techniques: high angular resolution techniques: image processing We present the Vortex Image Processing (VIP) library, a python package dedicated to astronomical high-contrast imaging. Our package relies on the extensive python stack of scientific libraries and aims to provide a flexible framework for high-contrast data and image processing. In this paper, we describe the capabilities of VIP related to processing image sequences acquired using the angular differential imaging (ADI) observing technique. VIP implements functionalities for building high-contrast data processing pipelines, encompassing pre- and post-processing algorithms, potential source. position and flux estimation, and sensitivity curve. generation. Among the reference point-spread. function subtraction techniques for ADI post-processing, VIP includes several flavors of principal component analysis (PCA) based algorithms, such as annular PCA and incremental PCA algorithms capable of processing big datacubes (of several gigabytes) on a computer with limited memory. Also, we present a novel ADI algorithm based on non-negative matrix factorization, which comes from the same family of low-rank matrix approximations as PCA and provides fairly similar results. We showcase the ADI capabilities of the VIP library using a deep sequence on HR 8799 taken with the LBTI/LMIRCam and its recently commissioned L-band vortex coronagraph. Using VIP, we investigated the presence of additional companions around HR 8799 and did not find any significant additional point source beyond the four known planets. VIP is available at http://github. com/vortex-exoplanet/VIP and is accompanied with Jupyter notebook tutorials illustrating the main functionalities of the library. 2017-06-12 Article VIP: Vortex Image Processing Package for High-contrast Direct Imaging 2017, 154 (1):7 The Astronomical Journal 1538-3881 10.3847/1538-3881/aa73d7 http://hdl.handle.net/10150/624676 http://arizona.openrepository.com/arizona/handle/10150/624676 The Astronomical Journal en http://stacks.iop.org/1538-3881/154/i=1/a=7?key=crossref.f935c4cecf1d1177e95108ad4c831a0c © 2017. The American Astronomical Society. All rights reserved. IOP PUBLISHING LTD |
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methods: data analysis planetary systems planets and satellites: detection techniques: high angular resolution techniques: image processing |
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methods: data analysis planetary systems planets and satellites: detection techniques: high angular resolution techniques: image processing Gomez Gonzalez, Carlos Alberto Wertz, Olivier Absil, Olivier Christiaens, Valentin Defrère, Denis Mawet, Dimitri Milli, Julien Absil, Pierre-Antoine Van Droogenbroeck, Marc Cantalloube, Faustine Hinz, Philip M. Skemer, Andrew J. Karlsson, Mikael Surdej, Jean VIP: Vortex Image Processing Package for High-contrast Direct Imaging |
description |
We present the Vortex Image Processing (VIP) library, a python package dedicated to astronomical high-contrast imaging. Our package relies on the extensive python stack of scientific libraries and aims to provide a flexible framework for high-contrast data and image processing. In this paper, we describe the capabilities of VIP related to processing image sequences acquired using the angular differential imaging (ADI) observing technique. VIP implements functionalities for building high-contrast data processing pipelines, encompassing pre- and post-processing algorithms, potential source. position and flux estimation, and sensitivity curve. generation. Among the reference point-spread. function subtraction techniques for ADI post-processing, VIP includes several flavors of principal component analysis (PCA) based algorithms, such as annular PCA and incremental PCA algorithms capable of processing big datacubes (of several gigabytes) on a computer with limited memory. Also, we present a novel ADI algorithm based on non-negative matrix factorization, which comes from the same family of low-rank matrix approximations as PCA and provides fairly similar results. We showcase the ADI capabilities of the VIP library using a deep sequence on HR 8799 taken with the LBTI/LMIRCam and its recently commissioned L-band vortex coronagraph. Using VIP, we investigated the presence of additional companions around HR 8799 and did not find any significant additional point source beyond the four known planets. VIP is available at http://github. com/vortex-exoplanet/VIP and is accompanied with Jupyter notebook tutorials illustrating the main functionalities of the library. |
author2 |
Univ Arizona, Dept Astron, Steward Observ |
author_facet |
Univ Arizona, Dept Astron, Steward Observ Gomez Gonzalez, Carlos Alberto Wertz, Olivier Absil, Olivier Christiaens, Valentin Defrère, Denis Mawet, Dimitri Milli, Julien Absil, Pierre-Antoine Van Droogenbroeck, Marc Cantalloube, Faustine Hinz, Philip M. Skemer, Andrew J. Karlsson, Mikael Surdej, Jean |
author |
Gomez Gonzalez, Carlos Alberto Wertz, Olivier Absil, Olivier Christiaens, Valentin Defrère, Denis Mawet, Dimitri Milli, Julien Absil, Pierre-Antoine Van Droogenbroeck, Marc Cantalloube, Faustine Hinz, Philip M. Skemer, Andrew J. Karlsson, Mikael Surdej, Jean |
author_sort |
Gomez Gonzalez, Carlos Alberto |
title |
VIP: Vortex Image Processing Package for High-contrast Direct Imaging |
title_short |
VIP: Vortex Image Processing Package for High-contrast Direct Imaging |
title_full |
VIP: Vortex Image Processing Package for High-contrast Direct Imaging |
title_fullStr |
VIP: Vortex Image Processing Package for High-contrast Direct Imaging |
title_full_unstemmed |
VIP: Vortex Image Processing Package for High-contrast Direct Imaging |
title_sort |
vip: vortex image processing package for high-contrast direct imaging |
publisher |
IOP PUBLISHING LTD |
publishDate |
2017 |
url |
http://hdl.handle.net/10150/624676 http://arizona.openrepository.com/arizona/handle/10150/624676 |
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