Simulations Predicting the Ability of Multi-color Simultaneous Photometry to Distinguish TESS Candidate Exoplanets from False Positives
Simulations Predicting the Ability of Multi-color Simultaneous Photometry to Distinguish TESS Candidate Exoplanets from False Positives
复制标题
模拟预测多色同步光度测量区分 TESS 候选系外行星与误报的能力
DOI：
10.1088/1538-3873/ab9c8c
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发表时间：
2020
影响因子：
3.5
通讯作者：
Deming Drake
中科院分区：
文献类型：
--
作者：
Louie Dana R.;Narita Norio;Fukui Akihiko;Palle Enric;Tamura Motohide;Kusakabe Nobuhiko;Parviainen Hannu;Deming Drake
凌日系外行星调查卫星(TESS)目前正在完成其为期两年的主要科学任务，在85%的天空中搜索凌日系外行星。TESS已经发现了1000多个TESS感兴趣天体(TOI)，但必须使用其他仪器或技术将这些候选系外行星与天体物理学假阳性区分开来。研究凌日行星大气的3波段多色同步相机(马斯喀特)以及4波段的MuSCAT2可以用来验证TESS的发现。系外行星凌日在多个频带中观察时是消色差的，而假阳性的凌日深度通常随波长而变化。我们创建了软件工具来模拟Muscat/MuSCAT2 TESS后续观测，并揭示使用这两种工具可以有效地区分哪些候选行星与混合日食双星(BEB)假阳性，以及哪些行星必须使用其他技术进行验证。我们将我们的软件代码应用于巴克莱等人。预测TESS的发现，以及从ExoFOP-TESS网站下载的TOIS。我们估计，马斯喀特(括号中的MuSCAT2值)将能够使用其多色能力来区分∼17%(∼18%)的所有TESS发现和∼13%(∼15%)的R pl<；4R⊕发现的BEB假阳性。我们的TOI分析表明，Muscat(MuSCAT2)可以区分过境深度大于0.001的∼55%(∼52%)、过境深度大于0.002的∼(∼61%)和过境深度大于0.003的∼70%(∼68%)的BEB假阳性。我们的工作表明，马斯喀特和MuSCAT2可以验证成百上千颗Rpl<；4R⊕候选系外行星，从而支持TESS任务实现其一级科学要求，即测量50颗比海王星小的系外行星的质量。我们的软件工具将帮助科学家优先考虑和优化TOIS的后续观察。
The Transiting Exoplanet Survey Satellite (TESS) is currently concluding its 2 yr primary science mission searching 85% of the sky for transiting exoplanets. TESS has already discovered well over one thousand TESS objects of interest (TOIs), but these candidate exoplanets must be distinguished from astrophysical false positives using other instruments or techniques. The 3-band Multi-color Simultaneous Camera for Studying Atmospheres of Transiting Planets (MuSCAT), as well as the 4-band MuSCAT2, can be used to validate TESS discoveries. Transits of exoplanets are achromatic when observed in multiple bandpasses, while transit depths for false positives often vary with wavelength. We created software tools to simulate MuSCAT/MuSCAT2 TESS follow-up observations and reveal which planet candidates can be efficiently distinguished from blended eclipsing binary (BEB) false positives using these two instruments, and which must be validated using other techniques. We applied our software code to the Barclay et al. predicted TESS discoveries, as well as to TOIs downloaded from the ExoFOP-TESS website. We estimate that MuSCAT (MuSCAT2 values in parentheses) will be able to use its multi-color capabilities to distinguish BEB false positives for∼ 17%(∼ 18%) of all TESS discoveries, and∼ 13%(∼ 15%) of R pl< 4R⊕ discoveries. Our TOI analysis shows that MuSCAT (MuSCAT2) can distinguish BEB false positives for∼ 55%(∼ 52%) of TOIs with transit depths greater than 0.001, for∼ 64%(∼ 61%) of TOIs with transit depths greater than 0.002, and for∼ 70%(∼ 68%) of TOIs with transit depth greater than 0.003. Our work shows that MuSCAT and MuSCAT2 can validate hundreds of R pl< 4R⊕ candidate exoplanets, thus supporting the TESS mission in achieving its Level 1 Science Requirement of measuring the masses of 50 exoplanets smaller in size than Neptune. Our software tools will assist scientists as they prioritize and optimize follow-up observations of TOIs.