Constraining Background N<sub>2</sub> Inventories on Directly Imaged Terrestrial Exoplanets to Rule Out O<sub>2</sub> False Positives
Sawyer Hall, Joshua Krissansen‐Totton, Tyler D. Robinson, Arnaud Salvador, Jonathan J. Fortney
Abstract
Abstract Direct imaging spectroscopy with future space-based telescopes will constrain terrestrial planet atmospheric composition and potentially detect biosignature gases. One promising indication of life is abundant atmospheric O 2 . However, various non-biological processes could also lead to O 2 accumulation in the atmospheres of potentially habitable planets around Sun-like stars. In particular, the absence of non-condensible background gases such as N 2 could result in appreciable H escape and abiotic O 2 buildup, so identifying background atmosphere composition is crucial for contextualizing any O 2 detections. Here, we perform retrievals on simulated directly imaged terrestrial planets using rfast , a new exoplanet atmospheric retrieval suite with direct imaging analysis capabilities. By simulating Earth-analog retrievals for varied atmospheric compositions, cloud properties, and surface pressures, we determine what wavelength range, spectral resolution, and signal-to-noise ratio (S/N) are necessary to constrain background gases’ identity and abundance. We find N 2 backgrounds can be uniquely identified with S/N ∼ 20 observations, provided that wavelength coverage extends beyond ∼1.6 μ m to rule out CO-dominated atmospheres. Additionally, there is a low probability of O 2 -dominated atmospheres due to an O 2 –N 2 degeneracy that is only totally ruled out at S/N ∼ 40. If wavelength coverage is limited to 0.2–1.1 μ m, then although all other cosmochemically plausible backgrounds can be readily excluded, N 2 and CO backgrounds cannot be distinguished. Overall, our simulated retrievals and associated integration time calculations suggest that near-infrared coverage to at least 1.6 μ m and apertures approaching 8 m are needed to confidently rule out O 2 biosignature false positives within feasible integration times.