Prospects for Detecting Oxygen, Water, and Chlorophyll on an Exo-Earth
Timothy D. Brandt, David S. Spiegel

TL;DR
This paper evaluates the spectral resolution and signal-to-noise requirements for detecting water, oxygen, and chlorophyll on Earth-like exoplanets, informing future space telescope mission designs.
Contribution
It develops a minimally parametric model to assess detection thresholds for key biosignatures and recommends a multi-tiered observational strategy for exo-Earth characterization.
Findings
Water detection requires R ≥ 20
Oxygen detection optimal at R ≈ 150, needing twice the SNR of water
Chlorophyll detection needs six times the SNR of oxygen under typical conditions
Abstract
The goal of finding and characterizing nearby Earth-like planets is driving many NASA high-contrast flagship mission concepts, the latest of which is known as the Advanced Technology Large-Aperture Space Telescope (ATLAST). In this article, we calculate the optimal spectral resolution and minimum signal-to-noise ratio per spectral bin (SNR), two central design requirements for a high-contrast space mission, in order to detect signatures of water, oxygen, and chlorophyll on an Earth twin. We first develop a minimally parametric model and demonstrate its ability to fit synthetic and observed Earth spectra; this allows us to measure the statistical evidence for each component's presence. We find that water is the easiest to detect, requiring a resolution , while the optimal resolution for oxygen is likely to be closer to , somewhat higher…
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