Bayesian Analysis for Remote Biosignature Identification on exoEarths (BARBIE) II: Using Grid-Based Nested Sampling in Coronagraphy Observation Simulations for O2 and O3
Natasha Latouf, Avi Mandell, Geronimo Villanueva, Michael Himes,, Michael Moore, Nicholas Susemiehl, Jaime Crouse, Shawn Domagal-Goldman, Giada, Arney, Vincent Kofman, Amber Young

TL;DR
This study evaluates the detectability of oxygen and ozone in Earth-like exoplanet atmospheres using simulated coronagraphic observations, optimizing spectral bandpasses and SNR requirements for future telescope designs.
Contribution
It introduces a grid-based nested sampling method to assess biosignature detectability across various molecular abundances and observational parameters.
Findings
O2 detectable between 0.64-0.83 microns at moderate SNR for Earth-like levels
O3 detectable only at high SNR for Earth-like levels, but at lower SNR for higher abundances
Optimal bandpasses identified for simultaneous detection of O2 and O3
Abstract
We present the results for the detectability of the O2 and O3 molecular species in the atmosphere of an Earth-like planet using reflected light at the visible wavelengths. By quantifying the detectability as a function of signal-to-noise ration (SNR), we can constrain the best methods to detect these biosignatures with nest-generation telescopes designed for high-contrast coronagraph. Using 25 bandpasses between 0.515 and 1 micron, and a pre-constructed grid of geometric albedo spectra, we examined the spectral sensitivity needed to detect these species for a range of molecular abundances. We first replicate a modern-Earth twin atmosphere to study the detectability of current O2 and O3 levels, and then expand to a wider range of literature-driven abundances for each molecule. We constrain the optimal 20%, 30%, and 40% bandpasses based on the effective SNR of the data, and define the…
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Taxonomy
TopicsAtmospheric and Environmental Gas Dynamics · Atmospheric Ozone and Climate · Marine and coastal ecosystems
