The direct imaging search for Earth 2.0: Quantifying biases and planetary false positives
Claire Marie Guimond, Nicolas B. Cowan

TL;DR
This study evaluates the biases and false positive rates in direct imaging searches for Earth-like exoplanets, revealing that many candidates are actually larger, non-Earth planets, especially without targeted observation strategies.
Contribution
It extends previous analyses by quantifying false positives in Earth twin searches, considering various observational strategies and their impact on detection accuracy.
Findings
77% of initial Earth candidate detections are false positives.
Targeted multi-epoch imaging reduces false positives to 47%.
False positives tend to be larger, averaging 1.7 to 2.3 Earth radii.
Abstract
Direct imaging is likely the best way to characterize the atmospheres of Earth-sized exoplanets in the habitable zone of Sun-like stars. Previously, Stark et al. (2014, 2015, 2016) estimated the Earth twin yield of future direct imaging missions, such as LUVOIR and HabEx. We extend this analysis to other types of planets, which will act as false positives for Earth twins. We define an Earth twin as any exoplanet within half an e-folding of 1 AU in semi-major axis and 1 in planetary radius, orbiting a G-dwarf. Using Monte Carlo analyses, we quantify the biases and planetary false positive rates of Earth searches. That is, given a pale dot at the correct projected separation and brightness to be a candidate Earth, what are the odds that it is, in fact, an Earth twin? Our notional telescope has a diameter of 10 m, an inner working angle of 3{\lambda}/D, and an outer working…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
