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Pluto's Sputnik Planitia: Composition of geological units from infrared spectroscopy

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  • معلومة اضافية
    • Contributors:
      Search for Extraterrestrial Intelligence Institute (SETI); NASA Ames Research Center (ARC); Pinhead Institute; Smithsonian Institution; Lowell Observatory Flagstaff; Massachusetts Institute of Technology (MIT); NASA Goddard Space Flight Center (GSFC); Southwest Research Institute Boulder (SwRI); Institut de Planétologie et d'Astrophysique de Grenoble (IPAG); Centre National d'Études Spatiales Toulouse (CNES)-Centre National de la Recherche Scientifique (CNRS)-Observatoire des Sciences de l'Univers de Grenoble (OSUG ); Institut national des sciences de l'Univers (INSU - CNRS)-Université Savoie Mont Blanc (USMB Université de Savoie Université de Chambéry )-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Université Grenoble Alpes (UGA)-Météo-France-Institut national des sciences de l'Univers (INSU - CNRS)-Université Savoie Mont Blanc (USMB Université de Savoie Université de Chambéry )-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Université Grenoble Alpes (UGA)-Météo-France; Johns Hopkins University Applied Physics Laboratory Laurel, MD (APL); University of Virginia; CNES, système Solaire
    • بيانات النشر:
      HAL CCSD
      Elsevier
    • الموضوع:
      2021
    • Collection:
      Université Savoie Mont Blanc: HAL
    • نبذة مختصرة :
      International audience ; We have compared spectroscopic data of Sputnik Planitia on Pluto, as acquired by New Horizons’ Linear Etalon Imaging Spectral Array (LEISA) instrument, to the geomorphology as mapped by White et al. (2017) using visible and panchromatic imaging acquired by the LOng-Range Reconnaissance Imager (LORRI) and the Multi-spectral Visible Imaging Camera (MVIC). We have focused on 13 of the geologic units identified by White et al. (2017), which include the plains and mountain units contained within the Sputnik basin. We divided the map of Sputnik Planitia into 15 provinces, each containing one or more geologic units, and we use LEISA to calculate the average spectra of the units inside the 15 provinces. Hapke-based modeling was then applied to the average spectra of the units to infer their surface composition, and to determine if the composition resulting from the modeling of LEISA spectra reflects the geomorphologic analyses of LORRI data, and if areas classified as being the same geologically, but which are geographically separated, share a similar composition. We investigated the spatial distribution of the most abundant ices on Pluto’s surface - CH4, N2, CO, H2O, and a non-ice component presumed to be a macromolecular carbon-rich material, termed a tholin, that imparts a positive spectral slope in the visible spectral region and a negative spectral slope longward of ~1.1 μm. Because the exact nature of the non-ice component is still debated and because the negative spectral slope of the available tholins in the near infrared does not perfectly match the Pluto data, for spectral modeling purposes we reference it generically as the negative spectral slope endmember (NSS endmember). We created maps of variations in the integrated band depth (from LEISA data) and areal mass fraction (from the modeling) of the components. The analysis of correlations between the occurrences of the endmembers in the geologic units led to the observation of an anomalous suppression of the strong CH4 absorption ...
    • Relation:
      hal-03312888; https://hal.science/hal-03312888; https://hal.science/hal-03312888/document; https://hal.science/hal-03312888/file/Scipioni2021-Icarus-359-114303_preprint.pdf
    • الرقم المعرف:
      10.1016/j.icarus.2021.114303
    • الدخول الالكتروني :
      https://hal.science/hal-03312888
      https://hal.science/hal-03312888/document
      https://hal.science/hal-03312888/file/Scipioni2021-Icarus-359-114303_preprint.pdf
      https://doi.org/10.1016/j.icarus.2021.114303
    • Rights:
      info:eu-repo/semantics/OpenAccess
    • الرقم المعرف:
      edsbas.439DA030