Large repositories of high precision light curve data, such as the Kepler data set, provide the opportunity to identify astrophysically important eclipsing binary (EB) systems in large quantities. However, the rate of classical "by eye" human analysis restricts complete and efficient mining of EBs from these data using classical techniques. To prepare for mining EBs from the upcoming K2 mission as well as other current missions, we developed an automated end-to-end computational pipeline - the Eclipsing Binary Factory (EBF) - that automatically identifies EBs and classifies them into morphological types. The EBF has been previously tested on ground-based light curves. To assess the performance of the EBF in the context of space-based data, we apply the EBF to the full set of light curves in the Kepler "Q3" Data Release. We compare the EBs identified from this automated approach against the human generated Kepler EB Catalog of ~2,600 EBs. When we require EB classification with at least 90% confidence, we find that the EBF correctly identifies and classifies eclipsing contact (EC), eclipsing semi-detached (ESD), and eclipsing detached (ED) systems with a false positive rate of only 4%, 4%, and 8%, while complete to 64%, 46%, and 32% respectively. When classification confidence is relaxed, the EBF identifies and classifies ECs, ESDs, and EDs with a slightly higher false positive rate of 6%, 16%, and 8%, while much more complete to 86%, 74%, and 62% respectively. Through our processing of the entire Kepler "Q3" dataset, we also identify 68 new candidate EBs that may have been missed by the human generated Kepler EB Catalog. We discuss the EBF's potential application to light curve classification for periodic variable stars more generally for current and upcoming surveys like K2 and the Transiting Exoplanet Survey Satellite.
The Gaia-Kepler-TESS-Host Stellar Properties Catalog: Uniform Physical Parameters for 7993 Host Stars and 9324 Planets
我们提出了第一个同质目录的$Kepler$，$K2$，和$TESS$主机恒星和相应的目录的系外行星的属性，其中包含7993恒星和9324行星，分别。我们使用等时线拟合和$Gaia$ DR 3光度测定法、视差和分光光度金属丰度，分别计算了3248、565和4180颗$Kepler$、$K2$和$TESS$恒星的精确、均匀的$T_{\mathrm{eff}}$、$\log g$、质量、半径、平均恒星密度、光度、年龄、距离和V波段光度。我们将我们的恒星特性与使用基本和精确约束（如干涉测量和星震学）的研究进行了比较，发现剩余散射为2.8%，5.6%，5.0%和31%，我们的$T_{\mathrm{eff}}$，半径，质量和年龄与文献中的偏移分别为0.2%，1.0%，1.2%和0.7%。此外，我们分别计算了4281、676和4367 $Kepler$、$K2$和$TESS$行星的行星半径、半长轴和入射通量，发现$K2$、$TESS$和组合样本中的系外行星半径差距不如单独的$Kepler$样本中那么突出。我们怀疑这种差异很大程度上是由于行星与恒星的半径比不均匀，$K2$和$TESS$的时间基线较短，以及样本量较小。最后，我们确定了一个明确的半径膨胀的趋势，在我们的大样本的热彗星，并找到150个热的亚海王星沙漠行星，除了人口超过400年轻的宿主恒星作为潜在的机会，测试理论的行星形成和演化。
Comparative analysis of observations of the selected exoplanet transits obtained at the Kyiv Comet station with the database of the orbital telescopes TESS and Kepler
我们提出了一个比较分析的观测选定的系外行星凌日在基辅彗星站与数据库的TESS（凌日系外行星调查卫星）和开普勒太空望远镜。TESS和开普勒轨道望远镜获得的光变曲线是使用基于Python软件包Lightkurve 2.3v的程序处理的，该程序可在MUST档案中免费获得（Barbara A.米库斯基太空望远镜档案馆（Mikulski Archive for Space Telescopes）。地面观测是用70厘米望远镜AZT-8（Lisnyky）进行的。利用Muniwin程序对地面观测进行了测光处理。观测到的凌日的光变曲线和参数以及从地面观测获得的系外行星轨道参数已在ETD（系外行星凌日数据库）中公布。将确定的传输参数与存储在MUST存档中的TESS命令的结果进行比较。在这里，我们提出了过境现象的参数（周期，深度，过境持续时间）和一些轨道参数的比较，从两个独立的观测，地面和轨道，在不同的时代进行。
A new method to compute limb-darkening coefficients for stellar atmosphere models with spherical symmetry: the space missions TESS, Kepler, Corot, and MOST
在处理球对称恒星大气模型的边缘暗化系数时，我们遇到的最大问题之一是边缘和中心部分同时调整的困难。特别是，对于大多数模型，根据Teff、log g或波长，不能很好地再现下降附近的区域。即使使用四项法则，这些分歧仍然存在。在这里，我们介绍了一种新的方法，大大提高了四肢和中心部分的描述，这将使用户能够测试模型的恒星大气与球对称更准确地在环境中，如系外行星凌日，食双星等。这里介绍的方法很简单。我们不像传统方法那样在平差中考虑所有$μ$点，而是只考虑每个模型的下降点（$μ_{cri}$）之前的点。从这一点出发，我们强加一个条件${I(μ)}/{I (1)} = 0$。所有计算均采用最小二乘法进行。对于空间任务{ \sc TESS}、{ \sc KEPLER}、{\sc COROT}和{ \sc MOST}的测光系统，使用这种新方法得到的系数很好地再现了PHOENIX球形模型（COND和DRIFT）的强度分布。计算包括以下局部重力和有效温度范围：2.5 $\leq$ log g $\leq$ 6.0和1500 K $\leq$ T $_{\rm eff}$ $\leq$ 12000 K。新的球面系数可以很容易地适应最常用的光变曲线合成代码。
Deep Learning Classification in Asteroseismology Using an Improved Neural Network: Results on 15000 Kepler Red Giants and Applications to K2 and TESS Data
Investigating Gaia EDR3 parallax systematics using asteroseismology of Cool Giant Stars observed by Kepler, K2, and TESS I. Asteroseismic distances to 12,500 red-giant stars
Asteroseismology of 35 Kepler and TESS $δ$ Scuti stars near the red edge of the instability strip. The limitations of $δ$ Scuti stars for dating open clusters
Investigating Gaia EDR3 parallax systematics using asteroseismology of Cool Giant Stars observed by Kepler, K2, and TESS II. Deciphering Gaia parallax systematics using red clump stars
Detecting Solar-Like Oscillations in the Highest Mass TESS Giants
Yale University（耶鲁大学）；The Ohio State University（俄亥俄州立大学）；Center for Cosmology and Astroparticle Physics (CCAPP), The Ohio State University（俄亥俄州立大学宇宙学与亚原子物理中心）；Université Paris-Saclay, Université Paris Cité, CEA, CNRS, AIM（巴黎萨克雷大学、巴黎西岱大学、法国原子能委员会、法国国家科学研究中心、天体物理学研究所）；Instituto de Astrofísica de Canarias (IAC)（加那利群岛天体物理研究所）；Universidad de La Laguna (ULL)（拉古纳大学）
ASTRAFier: A Novel and Scalable Transformer-based Stellar Variability Classifier
MIT Kavli Institute for Astrophysics & Space Research, Massachusetts Institute of Technology（麻省理工学院卡弗里天体物理与空间研究所）；Institute of Astronomy, KU Leuven（荷语鲁汶大学天文研究所）；Astronomical Institute of Czech Academy of Sciences（捷克科学院天文研究所）；Department of Physics, National University of Singapore（新加坡国立大学物理系）
Finding Circumbinary Planets: A Semi-Automated Transit Search of TESS Eclipsing Binaries
University of Warwick（华威大学）；Centre for Exoplanets and Habitability, University of Warwick（华威大学系外行星与宜居性中心）；School of Physics and Astronomy, University of Birmingham（伯明翰大学物理与天文学学院）
Asteroseismic ages for 17,000 stars in Kepler, K2 and TESS
University of Birmingham（伯明翰大学）；Università degli Studi di Bologna（博洛尼亚大学）；INAF - Osservatorio di Astrofisica e Scienza dello Spazio di Bologna（意大利国家天体物理研究所博洛尼亚天文与空间科学观测站）；École Polytechnique Fédérale de Lausanne (EPFL)（洛桑联邦理工学院）；Observatoire de Paris, Université PSL, CNRS, Sorbonne Université, Université Paris Cité, CY Cergy Paris Université（巴黎天文台、巴黎文理研究大学、法国国家科学研究中心、索邦大学、巴黎西岱大学、塞吉-蓬图瓦兹大学）；Stellar Astrophysics Centre, Department of Physics & Astronomy, Aarhus University（奥胡斯大学天体物理学中心）
Towards Instrument-Agnostic Exoplanet Candidate Prioritization
Atholton High School（阿索尔顿高中）；Astrophysics Science Division, NASA Goddard Space Flight Center（NASA戈达德太空飞行中心天体物理学科学部）；Center for Space Science and Technology, University of Maryland Baltimore County（马里兰大学巴尔的摩县分校空间科学与技术中心）；Center for Research and Exploration in Space Science and Technology, NASA/GSFC（NASA/GSFC空间科学与工程探索研究中心）；SETI Institute（SETI研究所）；Department of Computer Sciences, University of Maryland Baltimore County（马里兰大学巴尔的摩县分校计算机科学系）；Department of Astronomy, University of Maryland College Park（马里兰大学帕克分校天文学系）
A Multiwavelength Survey of Nearby M dwarfs: Optical and Near-Ultraviolet Flares and Activity with Contemporaneous TESS, Kepler/K2, \textit{Swift}, and HST Observations
