Retrievals Applied to a Decision Tree Framework Can Characterize Earthlike Exoplanet Analogs

Abstract

Exoplanet characterization missions planned for the future will soon enable searches for life beyond our solar system. Critical to the search will be the development of life detection strategies that can search for biosignatures while maintaining observational efficiency. In this work, we adopted a newly developed biosignature decision tree strategy for remote characterization of Earthlike exoplanets. The decision tree offers a step-by-step roadmap for detecting exoplanet biosignatures and excluding false positives, based on Earth’s biosphere and its evolution over time. We followed the pathways for characterizing a modern-Earth-like planet and an Archean-Earth-like planet and evaluated the observational trades associated with coronagraph bandpass combinations of designs consistent with the Habitable Worlds Observatory precursor studies. With retrieval analyses of each bandpass (or combination), we demonstrate the utility of the decision tree and evaluate the uncertainty on a suite of biosignature chemical species and habitability indicators (i.e., the gas abundances of H _2 O, O _2 , O _3 , CH _4 , and CO _2 ). Notably for modern Earth, less than an order of magnitude spread in the 1 σ uncertainties was achieved for the abundances of H _2 O and O _2 , planetary surface pressure, and atmospheric temperature, with three strategically placed bandpasses (two in the visible and one in the near-infrared). For the Archean, CH _4 and H _2 O were detectable in the visible with a single bandpass.

Keywords

• Exoplanets
• Biosignatures
• Direct imaging