Mixture Models for improvements of data from Kepler, K2, Gaia and TESS

我正在使用尖端的统计方法来改进各种太空望远镜的数据简化，这些望远镜的数据通常用于系外行星探测和恒星振动研究的恒星地震学。首先，也是最重要的，我使用绝对星等来对盖亚数据中的红团恒星进行分类，这是红巨星的一个子类。我还在分析系统校正对系外行星半径的影响，并通过估计全帧图像(FFI)的背景为TESS的数据简化管道做出了贡献。

I am using cutting edge statistical methods to improve data reduction for various space telescopes, the data of which is commonly used in exoplanet detection and asteroseismology, the study of stellar vibrations. First and foremost I am using absolute magnitude to classify Red Clump stars in Gaia data, a subclass of Red Giant. I am also working on an analysis of the impact of systematics corrections on exoplanet radii, and have contributed to the data reduction pipeline for TESS by estimating the backgrounds of Full Frame Images (FFIs).