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DiskFM: A forward modeling tool for disk analysis with coronagraphic instruments

Mazoyer, Johan and Arriaga, Pauline and Hom, Justin and Millar-Blanchaer, Maxwell A. and Chen, Christine and Wang, Jason J. and Duchêne, Gaspard and Patience, Jennifer and Pueyo, Laurent (2020) DiskFM: A forward modeling tool for disk analysis with coronagraphic instruments. In: Ground-based and Airborne Instrumentation for Astronomy VIII. Proceedings of SPIE. No.11447. Society of Photo-Optical Instrumentation Engineers (SPIE) , Bellingham, WA, Art. No. 1144759. ISBN 9781510636811.

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Because of bright starlight leakage in coronagraphic raw images, faint astrophysical objects such as exoplanets can only be detected using powerful point spread function (PSF) subtraction algorithms. However, these algorithms have strong effects on faint objects of interest, and often prevent precise spectroscopic analysis and scattering property measurements of circumstellar disks. For this reason, PSF-subtraction effects is currently the main limitations to the precise characterization of exoplanetary dust with scattered-light imaging. Forward modeling techniques have long been developed for point source objects (Pueyo 2016). However, Forward Modeling with disks is complicated by the fact that the disk cannot be simplified using a simple point source convolved by the PSF as the astrophysical model; all hypothetical disk morphologies must be explored to understand the subtle and non-linear effects of the PSF subtraction algorithm on the shape and local geometry of these systems. Because of their complex geometries, the forward-modeling process has to be repeated tens or hundred of thousands of times on disks with slightly different physical properties. All of these geometries are then compared to the PSF-subtracted image of the data, within an MCMC or a Chi-square wrapper. In this paper, we present here DiskFM, a new open-source algorithm included in the PSF subtraction algo- rithms package pyKLIP. This code allows to produce fast forward-modeling for a variety of observation strategies (ADI, SDI, ADI+SDI, RDI). pyKLIP has already been used for SPHERE/IRDIS and GPI data. It is readily available on all instruments supported by pyKLIP (SPHERE/IFS, SCExAO/CHARIS), and can be quickly adapted for other coronagraphic instruments.

Item Type:Book Section
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URLURL TypeDescription Paper
Mazoyer, Johan0000-0002-9133-3091
Arriaga, Pauline0000-0001-6364-2834
Hom, Justin0000-0001-9994-2142
Millar-Blanchaer, Maxwell A.0000-0001-6205-9233
Wang, Jason J.0000-0003-0774-6502
Duchêne, Gaspard0000-0002-5092-6464
Pueyo, Laurent0000-0003-3818-408X
Additional Information:© 2020 Society of Photo-Optical Instrumentation Engineers (SPIE). This material is based upon work supported by the National Science Foundation under Astronomy and Astrophysics Grant No. 1616097 (JM). JM acknowledges support for part of this work was provided by NASA through the NASA Hubble Fellowship grant #HST-HF2-51414 awarded by the Space Telescope Science Institute, which is operated by the Association of Universities for Research in Astronomy, Inc., for NASA, under contract NAS5-26555. This work uses observations obtained at the Gemini Observatory. Software: Gemini Planet Imager DRP, pyKLIP, numpy, scipy, Astropy, matplotlib, emcee, corner.
Funding AgencyGrant Number
NASA Hubble FellowshipHST-HF2-51414
Subject Keywords:High-contrast imaging, data analysis, software, differential imaging
Series Name:Proceedings of SPIE
Issue or Number:11447
Record Number:CaltechAUTHORS:20210107-140049771
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Official Citation:Johan Mazoyer, Pauline Arriaga, Justin Hom, Maxwell A. Millar-Blanchaer, Christine Chen, Jason Wang, Gaspard Duchêne, Jennifer Patience, and Laurent Pueyo "DiskFM: A forward modeling tool for disk analysis with coronagraphic instruments", Proc. SPIE 11447, Ground-based and Airborne Instrumentation for Astronomy VIII, 1144759 (13 December 2020);
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:107371
Deposited By: Tony Diaz
Deposited On:08 Jan 2021 18:14
Last Modified:16 Nov 2021 19:02

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