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Exoplanet characterization missions planned for the future will soon enablesearches for life beyond our solar system. Critical to the search will be thedevelopment of life detection strategies that can search for biosignatureswhile maintaining observational efficiency. In this work, we adopted a newlydeveloped biosignature decision tree strategy for remote characterization ofEarth-like exoplanets. The decision tree offers a step-by-step roadmap fordetecting exoplanet biosignatures and excluding false positives based onEarth's biosphere and its evolution over time. We followed the pathways forcharacterizing a modern Earth-like planet and an Archean Earth-like planet andevaluated the observational trades associated with coronagraph bandpasscombinations of designs consistent with The Habitable Worlds Observatory (HWO)precursor studies. With retrieval analyses of each bandpass (or combination),we demonstrate the utility of the decision tree and evaluated the uncertaintyon 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 formodern Earth, less than an order of magnitude spread in the 1-$\sigma$uncertainties were achieved for the abundances of H$_2$O and O$_2$, planetarysurface pressure, and atmospheric temperature with three strategically placedbandpasses (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.

Retrievals Applied To A Decision Tree Framework Can Characterize Earth-like Exoplanet Analogs