The habitability of planets is closely connected with the stellar activity, mainly the frequency of flares and the distribution of flare energy. Kepler and TESS find many flaring stars are detected via precise time-domain photometric data, and the frequency and energy distribution of stellar flares on different types of stars are studied statistically. However, the completeness and observational bias of detected flare events from different missions (e.g. Kepler and TESS) vary a lot. We use a unified data processing and detection method for flares events based on the light curve from Kepler and TESS. Then we perform injection and recovery tests in the original light curve of each star for each flare event to correct the completeness and energy of flares. Three samples of flaring stars are selected from Kepler and TESS, with rotating periods from 1 to $\sim$ 5 days. Adopting a hot-blackbody assumption, our results show that the cumulative flare frequency distributions (FFDs) of the same stars in Kepler and TESS bands tend to be consistent after correction, revealing a more natural flaring frequency and energy distribution. Our results also extend the low-energy limit in cumulative FFD fitting to $10^{31.5-33}$ erg on different types of stars. For solar-type stars, the average power-law index of cumulative FFD ($α_{\rm cum}$) is $-0.84$, which indicates that low-energy flares contribute less to the total flare energy. With a piecewise correlation between $α_{\rm cum}$ and $T_{\rm eff}$, $α_{\rm cum}$ first rises with $T_{\rm eff}$ from M2 to K1 stars, then slightly decreases for stars hotter than K1.
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。
Deep Learning Classification in Asteroseismology Using an Improved Neural Network: Results on 15000 Kepler Red Giants and Applications to K2 and TESS Data
A Multiwavelength Survey of Nearby M dwarfs: Optical and Near-Ultraviolet Flares and Activity with Contemporaneous TESS, Kepler/K2, \textit{Swift}, and HST Observations
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。
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）
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
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）
Power-2 limb-darkening coefficients for the $uvby$, $UBVRIJHK$, SDSS $ugriz$, Gaia, Kepler, TESS, and CHEOPS photometric systems II. PHOENIX spherically symmetric stellar atmosphere models
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
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）
