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    GPI 2.0: Characterizing Self-Luminous Exoplanets Through Low-Resolution Infrared Spectroscopy

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    Author
    Alemán, A.J.
    Macintosh, B.
    Limbach, M.A.
    Marley, M.S.
    Chilcote, J.K.
    Konopacky, Q.
    Savransky, D.
    Affiliation
    Department of Planetary Sciences and Lunar and Planetary Laboratory, University of Arizona
    Issue Date
    2022-08-29
    Keywords
    direct imaging
    Gemini Planet Imager
    infrared spectroscopy
    line spread function
    
    Metadata
    Show full item record
    Publisher
    SPIE
    Citation
    Arlene J. Alemán, Bruce Macintosh, Mary Anne Limbach, Mark S. Marley, Jeffrey K. Chilcote, Quinn Konopacky, Dmitry Savransky, "GPI 2.0: characterizing self-luminous exoplanets through low-resolution infrared spectroscopy," Proc. SPIE 12184, Ground-based and Airborne Instrumentation for Astronomy IX, 121844B (29 August 2022); https://doi.org/10.1117/12.2630793
    Journal
    Proceedings of SPIE - The International Society for Optical Engineering
    Rights
    © 2023 SPIE. (2023) Published by SPIE.
    Collection Information
    This 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 repository@u.library.arizona.edu.
    Abstract
    Direct imaging characterization of extrasolar planets is often done at low spectral resolution. We model the spectrograph for the Gemini Planet Imager upgrade (GPI 2.0) and assess the instrument’s potential for allowing observers to constrain exoplanet properties through analysis of near-infrared spectra. We simulated noisy observations followed by calculations of posterior distributions from maximum likelihood comparison with the Sonora 2018 model grid. Preliminary results suggest that GPI 2.0 should allow observers to constrain temperature with sufficient accuracy, but gravity remains largely uncertain. We also explore the effects of incorporating convolution with the instrument line spread function into our simulation and compare the results with our preliminary findings. © 2022 SPIE.
    Note
    Immediate access
    ISSN
    0277-786X
    ISBN
    978-151065349-8
    DOI
    10.1117/12.2630793
    Version
    Final Published Version
    ae974a485f413a2113503eed53cd6c53
    10.1117/12.2630793
    Scopus Count
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    UA Faculty Publications

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