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arXiv 2608.21560astro-ph.EPastro-ph.IM

评估高分辨率成像对TESS行星候选体统计验证的影响

Assessing the Impact of High-Resolution Imaging on Statistical Validation of TESS Planet Candidates

  • Holaxis
  • Department of Astronomy, California Institute of Technology(加州理工学院天文系)
  • NASA Exoplanet Science Institute, Caltech/IPAC(NASA系外行星科学研究所,加州理工学院/IPAC)
  • Department of Physics and Astronomy, University of Kansas(堪萨斯大学物理与天文学系)
  • Bay Area Environmental Research Institute(湾区环境研究所)
  • NASA Ames Research Center(NASA艾姆斯研究中心)
  • Department of Astronomy, The University of Texas at Austin(德克萨斯大学奥斯汀分校天文系)

机构由 AI 辅助整理,请以论文原文为准。

Michael Collier, Steven Giacalone, Brian Derfer, David R. Ciardi, Catherine A. Clark, Ian J. M. Crossfield, Sarah Deveny, Sergio B. Fajardo-Acosta, Elise Furlan… 展开作者

Michael Collier, Steven Giacalone, Brian Derfer, David R. Ciardi, Catherine A. Clark, Ian J. M. Crossfield, Sarah Deveny, Sergio B. Fajardo-Acosta, Elise Furlan, Emily A. Gilbert, Steve B. Howell, Adam L. Kraus, Rachel A. Matson, Joshua E. Schlieder, Julian C. van Eyken, David Baker, Khalid Barkaoui, Özgür Baştürk, Mario Basilicata, Izuru Fukuda, Akihiko Fukui, Mourad Ghachoui, Michaël Gillon, Emmanuel Jehin, Jerome de Leon, Luigi Mancini, Francesca Manni, Gabriel Murawski, Bob Massey, Luca Naponiello, Norio Narita, Justus Randolph, Roberto Zambelli, Richard P. Schwarz, Abderahmane Soubkiou, Gregor Srdoc, Chris Stockdale, Toshi Suganuma, Jiaqi Wang, Francis P. Wilkin, Selçuk Yalçınkaya

AI总结:

本研究通过基于TRICERATOPS的自动化流程,量化了高分辨率成像对TESS行星候选体验证的影响,发现其直接限制小型行星验证产出,还验证了64颗新TESS行星,其中4颗适合JWST观测。

AI中文摘要:

高分辨率成像被广泛用于限制系外行星验证中的假阳性场景,但它是一种有限的后续资源,仅能覆盖部分候选体,且其对验证结果的总体影响尚未通过受控移除实验量化。我们使用基于TRICERATOPS构建的自动化流程,计算了443个TESS行星候选体的假阳性概率(FPP)。对于264个拥有高分辨率成像观测的行星候选体,我们分别计算了包含和不包含对应对比度曲线的FPP,以此量化额外数据的影响。研究发现,在68个带有对比度曲线的已验证行星中,72%若不采用对应的对比度曲线将无法通过验证;需要成像数据的比例随行星尺寸增大而降低,从小于1.7地球半径($R_\bigoplus$)时的100%,降至大于4地球半径时的33%。在我们的样本及基于TRICERATOPS的分析范围内,高分辨率成像的可用性直接限制了小型行星的验证产出以及用于大气表征的已验证目标供给。我们的分析统计验证了64颗新的TESS行星,尺寸范围为0.94至7.83 $R_\bigoplus$,宿主恒星光谱型从M型到F型。其中4颗根据透射光谱和发射光谱指标非常适合JWST观测,且每颗都仅在成像约束下完成了验证。

英文摘要:

High-resolution imaging is widely used to constrain false-positive scenarios in exoplanet validation, but it is a finite follow-up resource that reaches only a subset of candidates, and its population-level impact on validation outcomes has not been quantified through controlled removal experiments. Using an automated pipeline built on TRICERATOPS, we compute the false-positive probability (FPP) of 443 TESS planet candidates. For the 264 planet candidates with high-resolution imaging observations, we compute FPP with and without the corresponding contrast curves, allowing us to quantify the impact of the additional data. We find that 72% of 68 contrast-curve bearing validated planets would fail validation without their adopted contrast curves. The fraction requiring imaging decreases with increasing planet size, from 100% below $1.7~R_\oplus$ to $33\%$ above $4~R_\oplus$: within our sample and TRICERATOPS-based analysis, the availability of high-resolution imaging directly limits the yield of small-planet validation and the supply of validated targets for atmospheric characterization. Our analysis statistically validates 64 new TESS planets with sizes spanning 0.94 to 7.83 $R_\oplus$ across hosts of spectral type M through F. Four of these are highly amenable to JWST observations based on the transmission and emission spectroscopy metrics, and each achieves validation only with its imaging constraint.

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