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The Dyn-Atmo Survey: High-contrast Imaging Spectroscopy of the Substellar Companion HD 13724 B with the JWST NIRSpec IFU

Published 10 Sep 2026 in astro-ph.SR, astro-ph.EP, and astro-ph.IM | (2609.11827v1)

Abstract: We present the first spectral analysis from the JWST Cycle 3 GO Program #6362, the Dyn-Atmo Survey of dynamical-atmospheric benchmarks, characterizing the atmospheres of directly-imaged companions with dynamical masses and measured orbits. This program has obtained moderate-resolution spectra (R\sim2700, 3-5μμm) using the NIRSpec/G395H IFU. We observe the T4-dwarf companion, HD 13724 B, companion to a G-type star at a projected angular separation of 0''2. Updated orbital monitoring constrains the mass to 38.3±0.6 MJup38.3\pm0.6~M_{\rm{Jup}}, which we use as a Gaussian prior when inferring the atmospheric state. We fit the continuum-subtracted spectrum using the BT-SETTL, Sonora Diamondback, Sonora Flame Skimmer, and NEWERA-PHOENIX self-consistent model grids, together with petitRADTRANS atmospheric retrievals. We adopt bulk parameter values of TeffT_\mathrm{eff}=1150±1150\pm195 K, logg\log g=5.1±0.3\pm0.3 dex, [M/H]=0.4±\pm0.4, log10(Kzz)\log_{10}(K_{zz})=6.33<em>2.22<sup>+2.59<em>{-2.22}<sup>{+2.59}, and C/O=0.50±0.130.50\pm0.13 using a bayesian average across model grids. We find degeneracies in the models between surface gravity, metallicity, and K</em>zzK</em>{zz} for Sonora Diamondback and Flame Skimmer. The Flame Skimmer and NEWERA-PHOENIX vertical mixing strengths are incompatible, with Flame Skimmer finding a systematically lower value. The retrievals favor an atmosphere in chemical equilibrium, with enhanced metallicity and a solar C/O ratio, but with no detection of disequilibrium chemistry, and no detection of trace gases other than CH<em>4<em>4, CO</em>2</em>{2}, <sup>12<sup>{12}CO and H2_{2}O. Ultimately, we identify critical challenges in forward modeling continuum-subtracted G395H spectra in the low signal-to-noise regime. We find that including independent dynamical mass measurements better constrains atmospheric parameters, but degeneracies between self-consistent model parameters limit accurate atmospheric parameter inferences.

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