利用 TESS 进行精确凌日光度测量。II.用更新的物理特性重新审视另外 28 个凌日系统

Suman Saha
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摘要

已知凌日系外行星的精确物理特性对于利用现代仪器和即将推出的仪器精确描述其大气特征至关重要。利用TESS的大量高信噪比光度跟踪数据,可以估算出这些系统的高精度物理特性,尤其是那些在TESS任务之前利用地面仪器发现的系统。在这项工作中,我利用公开的 TESS 跟踪数据,对 28 个 10 < Vmag < 10.5 的凌星系进行了研究,目的是更新它们的已知物理特性。通过采用最先进的临界噪声处理算法,利用小波去噪和高斯过程回归等复杂技术,有效地减少了时间相关和非相关噪声成分,从而对观测到的光曲线进行了分析。与之前的研究相比,大多数目标的估计凌日参数都更加精确,包括一些在之前的研究中使用过斯皮策、开普勒或CHEOPS等大型天基仪器的目标。对每个目标使用的大量过境观测数据也使得对物理特性的估计更加精确,因为这克服了因数据量较小而产生的参数估计偏差。因此,与文献值相比,这项工作报告的几个目标系统的已知物理特性在统计上有了显著改善。从分析中获得的大量过境定时信息还被用来寻找这些目标的过境定时变化趋势,结果没有发现明显的变化。
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Precise Transit Photometry Using TESS. II. Revisiting 28 Additional Transiting Systems with Updated Physical Properties
Precise physical properties of the known transiting exoplanets are essential for their precise atmospheric characterization using modern and upcoming instruments. Leveraging the large volume of high-signal-to-noise-ratio photometric follow-up data from TESS, highly precise physical properties can be estimated for these systems, especially for those discovered using ground-based instruments prior to the TESS mission. In this work, I have used the publicly available TESS follow-up data for 28 transiting systems with 10 < V mag < 10.5, with an aim to update their known physical properties. The observed lightcurves have been analyzed by implementing a state-of-the-art critical noise treatment algorithm to effectively reduce both time-correlated and uncorrelated noise components, using sophisticated techniques like wavelet denoising and Gaussian-process regression. Compared with the previous studies, the estimated transit parameters are found to be more precise for most of the targets, including a few cases where a larger space-based instrument like Spitzer, Kepler, or CHEOPS has been used in the previous study. The large volume of transit observations used for each target has also resulted in a more accurate estimation of the physical properties, as this overcomes any error in parameter estimations from bias present in a smaller volume of data. Thus, comparing with the literature values, statistically significant improvements in the known physical properties of several targeted systems have been reported from this work. The large volume of transit-timing information from the analyses was also used to search for transit-timing variation trends in these targets, which has resulted in no significant detection.
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