论文标题
系外行驶系统Kepler-2与Kepler-1和13进行比较
Exoplanet System Kepler-2 with comparisons to Kepler-1 and 13
论文作者
论文摘要
我们使用专用软件Winfitter对系统Kepler-2(HAT-P-7A)进行了对光度法(开普勒任务)和光谱数据进行了深入研究。该系统的归一化通量值的平均数据点误差为0.00015,导致该模型的平均参考通量规范为$ \ sim $ 0.5 ppm的精度。这证明了bined数据集的准确性高,这些数据集源自180万个个人观察结果。报告了光谱数据,并具有类似的高临界径向速度幅度度量的$ \ sim $ 2 m s $^{ - 1} $。分析包括讨论拟合质量和模型充足性。我们针对Kepler-2的派生绝对参数如下:$ M_P $(jupiter)1.80 $ \ pm $ 0.13; $ r _ {\ star} $ 1.46 $ \ pm 0.08 \ times 10^6 $ km; $ r_p $ 1.15 $ \ pm 0.07 \ times 10^5 $ km。这些值意味着比以前分类的更大,凝结的物体更大,但在此类文献参数的合理错误估计中。我们还发现潮汐,反射和多普勒效应参数,表明最佳模型规范与“清洁”模型略有不同,该模型将$ \ sim $ 3600 $ 3600的Binned Light曲线的标准偏差减少到小于0.9 ppm。我们考虑了这些轻微的差异,与热jupiter Systems Kepler-1(TRES-2)和13进行了比较。
We have carried out an intensive study of photometric (Kepler Mission) and spectroscopic data on the system Kepler-2 (HAT-P-7A) using the dedicated software WinFitter. The mean individual data-point error of the normalized flux values for this system is 0.00015, leading to the model's specification for the mean reference flux to an accuracy of $\sim$0.5 ppm. This testifies to the remarkably high accuracy of the binned data-set, derived from over 1.8 million individual observations. Spectroscopic data are reported with the similarly high-accuracy radial velocity amplitude measure of $\sim$2 m s$^{-1}$. The analysis includes discussion of the fitting quality and model adequacy. Our derived absolute parameters for Kepler-2 are as follows: $M_p$ (Jupiter) 1.80 $\pm$ 0.13; $R_{\star}$ 1.46 $\pm 0.08 \times 10^6$ km; $R_p$ 1.15 $\pm 0.07 \times 10^5$ km. These values imply somewhat larger and less condensed bodies than previously catalogued, but within reasonable error estimates of such literature parameters. We find also tidal, reflection and Doppler effect parameters, showing that the optimal model specification differs slightly from a `cleaned' model that reduces the standard deviation of the $\sim$3600 binned light curve points to less than 0.9 ppm. We consider these slight differences, making comparisons with the hot-jupiter systems Kepler-1 (TrES-2) and 13.