A probabilistic approach to determination of Ceres' average surface composition from Dawn VIR and GRaND data
H. Kurokawa, B. L. Ehlmann, M. C. De Sanctis, M. G. A. Lap\^otre, T., Usui, N. T. Stein, T. H. Prettyman, A. Raponi, M. Ciarniello

TL;DR
This study develops a probabilistic model to determine Ceres' surface composition by integrating VIR spectral data with GRaND elemental measurements, revealing a composition similar to carbonaceous chondrites.
Contribution
It introduces a Bayesian radiative transfer approach to reconcile spectral and elemental data, improving accuracy in compositional analysis of planetary surfaces.
Findings
Ceres' surface is best modeled with carbonaceous chondrite-like materials.
Elemental abundances of C and Fe are higher than previous estimates.
The model reduces discrepancies between spectral and elemental data.
Abstract
The Visible-Infrared Mapping Spectrometer (VIR) on board the Dawn spacecraft revealed that aqueous secondary minerals -- Mg-phyllosilicates, NH4-bearing phases, and Mg/Ca carbonates -- are ubiquitous on Ceres. Ceres' low reflectance requires dark phases, which were assumed to be amorphous carbon and/or magnetite (~80 wt.%). In contrast, the Gamma Ray and Neutron Detector (GRaND) constrained the abundances of C (8-14 wt.%) and Fe (15-17 wt.%). Here, we reconcile the VIR-derived mineral composition with the GRaND-derived elemental composition. First, we model mineral abundances from VIR data, including either meteorite-derived insoluble organic matter, amorphous carbon, magnetite, or combination as the darkening agent and provide statistically rigorous error bars from a Bayesian algorithm combined with a radiative-transfer model. Elemental abundances of C and Fe are much higher than is…
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Taxonomy
TopicsAstro and Planetary Science · Planetary Science and Exploration · Stellar, planetary, and galactic studies
