论文标题
与VLT/Sphere重新访问系外行星51 Eridani B的气氛
Revisiting the atmosphere of the exoplanet 51 Eridani b with VLT/SPHERE
论文作者
论文摘要
[本文中的完整摘要]我们旨在通过在更高的信噪数据上使用检索方法来更好地限制直接成像系外行星51〜ERI〜B的大气特性。在这种情况下,我们还比较了使用大气检索代码\ texttt {petitradtrans}的结果与一个自洽模型以适合大气参数。我们提出了行星的更高信号到噪声$ yh $频谱,并修订了$ k1k2 $光度法(m $ _ {k1} = 15.11 \ pm 0.04 $ mag,m $ _ {k2} = 17.11 \ 17.11 \ pm 0.38 $ mag)。使用大气检索获得的最佳拟合参数与使用自洽模型的结果不同。通常,我们发现我们的解决方案倾向于无云的气氛(例如log $τ_ {\ rm clouds} = -5.20 \ pm 1.44 $)。对于具有新数据的``名称''模型,我们发现金属性较低([Fe/h] $ = 0.26 \ pm $ 0.30 dex)和c/o比率($ 0.38 \ pm0.09 $),并且有效温度略高(t $ _ {\ rm {\ rm {eff} = 807 \ pm $ 45 K)。表面重力(log $ g = 4.05 \ pm0.37 $)与不确定性中文献中报告的值一致。我们估计,行星的质量为2至4 m $ _ {\ rm {jup}} $。在与自一致的模型进行比较时,我们遇到了云的存在与$ p-t $ profiles的形状之间的已知相关性。我们的发现支持这样的想法:不应孤立地讨论大气检索结果,而应与使用检索最佳拟合参数获得的自洽温度结构一起讨论。
[Full abstract in the paper] We aim to better constrain the atmospheric properties of the directly imaged exoplanet 51~Eri~b by using a retrieval approach on higher signal-to-noise data than previously reported. In this context, we also compare the results of using the atmospheric retrieval code \texttt{petitRADTRANS} vs a self-consistent model to fit atmospheric parameters. We present a higher signal-to-noise $YH$ spectrum of the planet and revised $K1K2$ photometry (M$_{K1} = 15.11 \pm 0.04$ mag, M$_{K2} = 17.11 \pm 0.38$ mag). The best-fit parameters obtained using an atmospheric retrieval differ from previous results using self-consistent models. In general, we find that our solutions tend towards cloud-free atmospheres (e.g. log $τ_{\rm clouds} = -5.20 \pm 1.44$). For our ``nominal'' model with new data, we find a lower metallicity ([Fe/H] $= 0.26\pm$0.30 dex) and C/O ratio ($0.38\pm0.09$), and a slightly higher effective temperature (T$_{\rm{eff}} = 807\pm$45 K) than previous studies. The surface gravity (log $g = 4.05\pm0.37$) is in agreement with the reported values in the literature within uncertainties. We estimate the mass of the planet to be between 2 and 4 M$_{\rm{Jup}}$. When comparing with self-consistent models, we encounter a known correlation between the presence of clouds and the shape of the $P-T$ profiles. Our findings support the idea that results from atmospheric retrievals should not be discussed in isolation, but rather along with self-consistent temperature structures obtained using the retrieval's best-fit parameters.