Efficiently Searching for Close-in Companions Around Young M Dwarfs Using a Multiyear PSF Library

Abstract We present Super-RDI, a unique framework for the application of reference star differential imaging (RDI) to Keck/NIRC2 high-contrast imaging observations with the vortex coronagraph. Super-RDI combines frame selection and signal-to-noise ratio (S/N) optimization techniques with a large multiyear reference point-spread function (PSF) library to achieve optimal PSF subtraction at small angular separations. We compile an ∼7000 frame reference PSF library based on a set of 288 new Keck/NIRC2 <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" overflow="scroll"> <mml:mi>L</mml:mi> <mml:mo accent="false">′</mml:mo> </mml:math> sequences of 237 unique targets acquired between 2015 and 2019 as part of two planet-search programs designed for RDI, one focusing on nearby young M dwarfs and the other targeting members of the Taurus star-forming region. For our data set, synthetic companion injection-recovery tests reveal that frame selection with the mean-squared error metric combined with Karhunen–Loève Image-Processing-based PSF subtraction using 1000–3000 frames and ≲500 principal components yields the highest average S/N for injected synthetic companions. We uniformly reduce targets in the young M-star survey with both Super-RDI and angular differential imaging (ADI). For the typical parallactic angle rotation of our data set (∼10°), Super-RDI performs better than a widely used implementation of ADI-based PSF subtraction at separations ≲0.″4 (≈5 λ / D ), gaining an average of 0.25 mag in contrast at 0.″25 and 0.4 mag in contrast at 0.″15. This represents a performance improvement in separation space over RDI with single-night reference star observations (∼100 frame PSF libraries) applied to a similar Keck/NIRC2 data set in previous work. We recover two known brown dwarf companions and provide detection limits for 155 targets in the young M-star survey. Our results demonstrate that increasing the PSF library size with careful selection of reference frames can improve the performance of RDI with the Keck/NIRC2 vortex coronagraph in <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" overflow="scroll"> <mml:mi>L</mml:mi> <mml:mo accent="false">′</mml:mo> </mml:math> .

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Publication Details

Journal
The Astronomical Journal
Published
2024-10-18
DOI
https://doi.org/10.3847/1538-3881/ad769f
Citations
7
Primary Topic
Stellar, planetary, and galactic studies
Type
article
Field-Weighted Citation Impact
2.32

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article

Efficiently Searching for Close-in Companions Around Young M Dwarfs Using a Multiyear PSF Library

Marta L. Bryan, Aniket Sanghi, Henry Ngo, Elsa Huby et al.
7 citations
The Astronomical Journal
Stellar, planetary, and galactic studies
2.32
article

Efficiently Searching for Close-in Companions Around Young M Dwarfs Using a Multiyear PSF Library

Marta L. Bryan, Aniket Sanghi, Henry Ngo, Elsa Huby, Brendan P. Bowler, Olivier Absil, Dimitri Mawet, Garreth Ruane, Jerry W. Xuan, Jason Wang
article en
7 citations

Abstract

Abstract We present Super-RDI, a unique framework for the application of reference star differential imaging (RDI) to Keck/NIRC2 high-contrast imaging observations with the vortex coronagraph. Super-RDI combines frame selection and signal-to-noise ratio (S/N) optimization techniques with a large multiyear reference point-spread function (PSF) library to achieve optimal PSF subtraction at small angular separations. We compile an ∼7000 frame reference PSF library based on a set of 288 new Keck/NIRC2 <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" overflow="scroll"> <mml:mi>L</mml:mi> <mml:mo accent="false">′</mml:mo> </mml:math> sequences of 237 unique targets acquired between 2015 and 2019 as part of two planet-search programs designed for RDI, one focusing on nearby young M dwarfs and the other targeting members of the Taurus star-forming region. For our data set, synthetic companion injection-recovery tests reveal that frame selection with the mean-squared error metric combined with Karhunen–Loève Image-Processing-based PSF subtraction using 1000–3000 frames and ≲500 principal components yields the highest average S/N for injected synthetic companions. We uniformly reduce targets in the young M-star survey with both Super-RDI and angular differential imaging (ADI). For the typical parallactic angle rotation of our data set (∼10°), Super-RDI performs better than a widely used implementation of ADI-based PSF subtraction at separations ≲0.″4 (≈5 λ / D ), gaining an average of 0.25 mag in contrast at 0.″25 and 0.4 mag in contrast at 0.″15. This represents a performance improvement in separation space over RDI with single-night reference star observations (∼100 frame PSF libraries) applied to a similar Keck/NIRC2 data set in previous work. We recover two known brown dwarf companions and provide detection limits for 155 targets in the young M-star survey. Our results demonstrate that increasing the PSF library size with careful selection of reference frames can improve the performance of RDI with the Keck/NIRC2 vortex coronagraph in <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" overflow="scroll"> <mml:mi>L</mml:mi> <mml:mo accent="false">′</mml:mo> </mml:math> .

The Astronomical JournalVol. 168(5)
Northwestern University (US), California Institute of Technology (US), Herzberg Institute of Astrophysics (CA), Centre National de la Recherche Scientifique (FR), Jet Propulsion Laboratory (US), University of Liège (BE), University of Toronto (CA), Université Paris Cité (FR), Université Paris Sciences et Lettres (FR), Observatoire de Paris (FR), Sorbonne Université (FR), Laboratoire d’études spatiales et d’instrumentation en astrophysique (FR), The University of Texas at Austin (US)
National Science Foundation, National Aeronautics and Space Administration, Alfred P. Sloan Foundation, W. M. Keck Foundation, Gordon and Betty Moore Foundation, California Institute of Technology, European Commission, Fonds De La Recherche Scientifique - FNRS, Nuclear Safety and Security Commission, Horizon 2020 Framework Programme, European Research Council, Agencia Estatal de Investigación, Astrophysics Division
Openalex Percentile: Top 12%
Stellar, planetary, and galactic studies
2.32
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