VIP: Vortex Image Processing Package for High-contrast Direct Imaging
AuthorGomez Gonzalez, Carlos Alberto
Van Droogenbroeck, Marc
Hinz, Philip M.
Skemer, Andrew J.
AffiliationUniv Arizona, Dept Astron, Steward Observ
Keywordsmethods: data analysis
planets and satellites: detection
techniques: high angular resolution
techniques: image processing
MetadataShow full item record
PublisherIOP PUBLISHING LTD
CitationVIP: Vortex Image Processing Package for High-contrast Direct Imaging 2017, 154 (1):7 The Astronomical Journal
JournalThe Astronomical Journal
Rights© 2017. The American Astronomical Society. All rights reserved.
Collection InformationThis item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at email@example.com.
AbstractWe 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.
VersionFinal published version
SponsorsEuropean Research Council Under the European Union's Seventh Framework Program (ERC Grant) ; French Community of Belgium through an ARC; Millennium Nucleus grant [RC130007]; National Aeronautics and Space Administration as part of its Exoplanet Exploration Program; NASA's Origins of Solar Systems Program [NNX13AJ17G]