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arXiv 2609.11827astro-ph.SRastro-ph.EPastro-ph.IM

Dyn-Atmo巡天:利用JWST NIRSpec IFU对亚恒星伴星HD 13724 B的高对比度成像光谱分析

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

  • Space Telescope Science Institute(太空望远镜科学研究所)
  • Trinity College Dublin, The University of Dublin(都柏林三一学院,都柏林大学)
  • European Space Agency (ESA)(欧洲空间局(ESA))
  • Amherst College(阿默斯特学院)
  • American Museum of Natural History(美国自然历史博物馆)
  • University of Texas at Austin(德克萨斯大学奥斯汀分校)
  • University of California, San Diego(加利福尼亚大学圣地亚哥分校)
  • Northwestern University(西北大学)
  • University of California, Santa Barbara(加利福尼亚大学圣塔芭芭拉分校)
  • University of California, Santa Cruz(加利福尼亚大学圣克鲁兹分校)
  • University of Massachusetts Amherst(马萨诸塞大学阿默斯特分校)
  • Johns Hopkins University(约翰斯·霍普金斯大学)
  • Smith College(史密斯学院)
  • University of California, Los Angeles(加利福尼亚大学洛杉矶分校)

机构由 AI 辅助整理,请以论文原文为准。

Kielan K. W. Hoch, Alex Madurowicz, Evert Nasedkin, Emily Rickman, Daniella C. Bardalez Gagliuffi, James Mang, Caroline V. Morley, Christopher A. Theissen, Will… 展开作者

Kielan K. W. Hoch, Alex Madurowicz, Evert Nasedkin, Emily Rickman, Daniella C. Bardalez Gagliuffi, James Mang, Caroline V. Morley, Christopher A. Theissen, William O. Balmer, Brendan P. Bowler, Emily Calamari, Henry Dennen, Jacqueline K. Faherty, Kyle Franson, Mark R. Giovinazzi, Lisseth Gonzales Quevedo, Elena Manjavacas, Piper Lentz, Klara Matuszewska, Ashley Messier, Marshall Perrin, Laurent Pueyo, Jean-Baptiste Ruffio, Kimberly Ward-Duong, Jerry W. Xuan

AI总结:

该研究利用JWST NIRSpec IFU光谱和动力学质量先验,对T4矮星伴星HD 13724 B进行大气表征,发现化学平衡、增强金属丰度和太阳碳氧比,并指出模型简并性限制参数推断。

AI中文摘要:

我们展示了来自JWST第三周期GO项目#6362的首次光谱分析,即Dyn-Atmo动力学-大气基准巡天,该巡天旨在表征具有动力学质量和已测定轨道的直接成像伴星的大气。该项目使用NIRSpec/G395H积分场单元获取了中等分辨率光谱(R~2700,3-5微米)。我们观测了T4矮星伴星HD 13724 B,它是一颗G型星的伴星,投影角距为0.2角秒。更新的轨道监测将质量约束为38.3±0.6木星质量,我们在推断大气状态时将其作为高斯先验。我们使用BT-SETTL、Sonora Diamondback、Sonora Flame Skimmer和NEWERA-PHOENIX自洽模型网格,以及petitRADTRANS大气反演,对连续谱扣除后的光谱进行拟合。我们采用跨模型网格的贝叶斯平均值,得到体参数值:有效温度=1150±195 K,表面重力log g=5.1±0.3 dex,金属丰度[M/H]=0.4±0.4,垂直扩散系数log10(Kzz)=6.33(+2.59/-2.22),碳氧比C/O=0.50±0.13。我们发现Sonora Diamondback和Flame Skimmer模型在表面重力、金属丰度和Kzz之间存在简并性。Flame Skimmer和NEWERA-PHOENIX的垂直混合强度不兼容,Flame Skimmer得到的值系统性偏低。反演结果倾向于化学平衡大气,具有增强的金属丰度和太阳碳氧比,但未探测到非平衡化学,除CH4、CO2、12CO和H2O外未探测到其他痕量气体。最终,我们识别出在低信噪比条件下对连续谱扣除的G395H光谱进行前向建模的关键挑战。我们发现纳入独立的动力学质量测量能更好地约束大气参数,但自洽模型参数之间的简并性限制了对大气参数的准确推断。

英文摘要:

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$\sim$2700, 3-5$μ$m) 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 $38.3\pm0.6~M_{\rm{Jup}}$, 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 $T_\mathrm{eff}$=$1150\pm$195 K, $\log g$=5.1$\pm0.3$ dex, [M/H]=0.4$\pm$0.4, $\log_{10}(K_{zz})$=6.33$_{-2.22}^{+2.59}$, and C/O=$0.50\pm0.13$ using a bayesian average across model grids. We find degeneracies in the models between surface gravity, metallicity, and $K_{zz}$ 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$_4$, CO$_{2}$, $^{12}$CO and H$_{2}$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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