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Retrieval of SDSS J1416+1348AB

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arxiv 2010.01224 v1 pith:DFP47RLM submitted 2020-10-02 astro-ph.SR astro-ph.EP

classification astro-ph.SRastro-ph.EP
keywords cloudj1416aj1416bretrievalconsistentradiussdssbest
verification ladder T0 review T1 audit T2 compute T3 formal
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We present the distance-calibrated spectral energy distribution (SED) of the d/sdL7 SDSS J14162408+1348263A (J1416A) and an updated SED for SDSS J14162408+1348263B (J1416B). We also present the first retrieval analysis of J1416A using the Brewster retrieval code base and the second retrieval of J1416B. We find that the primary is best fit by a non-grey cloud opacity with a power-law wavelength dependence, but is indistinguishable between the type of cloud parameterization. J1416B is best fit by a cloud-free model, consistent with the results from Line et al. (2017). Most fundamental parameters derived via SEDs and retrievals are consistent within 1 sigma for both J1416A and J1416B. The exceptions include the radius of J1416A, where the retrieved radius is smaller than the evolutionary model-based radius from the SED for the deck cloud model, and the bolometric luminosity which is consistent within 2.5 sigma for both cloud models. The pair's metallicity and Carbon-to-Oxygen (C/O) ratio point towards formation and evolution as a system. By comparing the retrieved alkali abundances while using two opacity models, we are able to evaluate how the opacities behave for the L and T dwarf. Lastly, we find that relatively small changes in composition can drive major observable differences for lower temperature objects.

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  1. The JWST Early Release Science Program for Direct Observations of Exoplanetary Systems VIII: patchy forsterite and enstatite clouds in the atmosphere of VHS 1256 b, retrieval lessons learned and outlook to the future

    astro-ph.EP 2026-08 conditional novelty 6.0 of 10

    A retrieval of the full JWST 1-18 micron spectrum of VHS 1256 b prefers patchy forsterite and enstatite clouds over an iron deck, but the ranking is conditioned on a 10x NIRSpec error inflation.

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