论文标题
审查384个感兴趣的苔丝对象，并用三角龙和12个行星候选者的统计验证
Vetting of 384 TESS Objects of Interest with TRICERATOPS and Statistical Validation of 12 Planet Candidates
论文作者
论文摘要
我们提出了Triceratops，这是一种新的贝叶斯工具，可用于审查和验证感兴趣的苔丝对象（TOIS）。我们在68个TOI上测试该工具，这些工具先前已被确认为行星或被拒绝为天体物理误报。通过查看假阳性概率（FPP） - 附近的假阳性概率（NFPP）平面，我们定义了TOI必须相遇的标准才能分类为经过验证的行星（FPP <0.015和NFPP <10^-3），可能是行星（FPP <0.5和NFPP <0.5 and NFPP <10^-3），以及接近误差的伪造效应（NFPP PITITIVES（NFPP）（NFPP> 10^-1）。我们将此程序应用于384个未分类的TOI和统计验证12，将125分类为行星，并将52分类为附近的误报。在12个经统计验证的行星中，有9个是新验证的。 Triceratops目前是唯一的苔丝审查和验证工具，除了目标恒星外，模型从附近的污染物恒星过渡。因此，我们鼓励使用此工具来确定确认真正的行星并确定源自附近恒星的误报的随访观测值。
We present TRICERATOPS, a new Bayesian tool that can be used to vet and validate TESS Objects of Interest (TOIs). We test the tool on 68 TOIs that have been previously confirmed as planets or rejected as astrophysical false positives. By looking in the false positive probability (FPP) -- nearby false positive probability (NFPP) plane, we define criteria that TOIs must meet to be classified as validated planets (FPP < 0.015 and NFPP < 10^-3), likely planets (FPP < 0.5 and NFPP < 10^-3), and likely nearby false positives (NFPP > 10^-1). We apply this procedure on 384 unclassified TOIs and statistically validate 12, classify 125 as likely planets, and classify 52 as likely nearby false positives. Of the 12 statistically validated planets, 9 are newly validated. TRICERATOPS is currently the only TESS vetting and validation tool that models transits from nearby contaminant stars in addition to the target star. We therefore encourage use of this tool to prioritize follow-up observations that confirm bona fide planets and identify false positives originating from nearby stars.
