论文标题
HR 8799行星系统的L波段积分光谱
L-band Integral Field Spectroscopy of the HR 8799 Planetary System
论文作者
论文摘要
由于归化性,使有效温度,表面重力,云彩和化学性质混淆,了解雕刻年轻气体巨型行星外观的物理过程变得复杂。为了实现更详细的研究,需要光谱观测值涵盖广泛的波长。在这里,我们介绍了HR 8799 D和E的第一个L波段光谱观测,以及第一个低分辨率宽带宽L波段光谱测量的HR 8799 c。这些测量是通过LBT的升级LMIRCAM/ALES仪器以及新的垂直板板冠冕促进的。我们的数据通常与先前的光度观测值一致,涵盖了相似的波长,但是在HR 8799 c的窄带光度法中存在一些张力。随着我们的光谱的添加,HR 8799系统中的三个最内向的行星中的每个行星中的每个行星都以整体磁场光谱范围覆盖$ \ sim0.9 $至$ 4.1〜μmathrm {m} $测量了光谱能量分布。我们将这些光谱与文献的测量和拟合合成模型大气相结合。我们证明,行星的辐射光度亮度对用于在测量之间插值并推断超越它们的模型大气的选择不敏感。将亮度与年龄和质量限制结合在一起,我们表明,进化模型的预测在有效温度,表面重力和行星半径上狭窄峰值。通过以其预测值持有这些参数,我们表明,更灵活的云模型可以为数据提供良好的拟合,同时与进化模型的期望保持一致。
Understanding the physical processes sculpting the appearance of young gas-giant planets is complicated by degeneracies confounding effective temperature, surface gravity, cloudiness, and chemistry. To enable more detailed studies, spectroscopic observations covering a wide range of wavelengths is required. Here we present the first L-band spectroscopic observations of HR 8799 d and e and the first low-resolution wide bandwidth L-band spectroscopic measurements of HR 8799 c. These measurements were facilitated by an upgraded LMIRCam/ALES instrument at the LBT, together with a new apodizing phase plate coronagraph. Our data are generally consistent with previous photometric observations covering similar wavelengths, yet there exists some tension with narrowband photometry for HR 8799 c. With the addition of our spectra, each of the three innermost observed planets in the HR 8799 system have had their spectral energy distributions measured with integral field spectroscopy covering $\sim0.9$ to $4.1~μ\mathrm{m}$. We combine these spectra with measurements from the literature and fit synthetic model atmospheres. We demonstrate that the bolometric luminosity of the planets is not sensitive to the choice of model atmosphere used to interpolate between measurements and extrapolate beyond them. Combining luminosity with age and mass constraints, we show that the predictions of evolutionary models are narrowly peaked for effective temperature, surface gravity, and planetary radius. By holding these parameters at their predicted values, we show that more flexible cloud models can provide good fits to the data while being consistent with the expectations of evolutionary models.