TY - JOUR
T1 - VIP
T2 - Vortex Image Processing Package for High-contrast Direct Imaging
AU - Gomez Gonzalez, Carlos Alberto
AU - Wertz, Olivier
AU - Absil, Olivier
AU - Christiaens, Valentin
AU - Defrère, Denis
AU - Mawet, Dimitri
AU - Milli, Julien
AU - Absil, Pierre Antoine
AU - Van Droogenbroeck, Marc
AU - Cantalloube, Faustine
AU - Hinz, Philip M.
AU - Skemer, Andrew J.
AU - Karlsson, Mikael
AU - Surdej, Jean
PY - 2017/7/1
Y1 - 2017/7/1
N2 - 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.
AB - 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.
KW - methods: data analysis
KW - planetary systems
KW - planets and satellites: detection
KW - techniques: high angular resolution
KW - techniques: image processing
UR - http://www.scopus.com/inward/record.url?scp=85024498784&partnerID=8YFLogxK
U2 - 10.3847/1538-3881/aa73d7
DO - 10.3847/1538-3881/aa73d7
M3 - Article
AN - SCOPUS:85024498784
SN - 0004-6256
VL - 154
JO - The Astronomical Journal
JF - The Astronomical Journal
IS - 1
M1 - 7
ER -