Bayesian Analysis for Remote Biosignature Identification on exoEarths (BARBIE) IV: Analyzing CO2 Detections in the Near-IR to Determine the Long-Wavelength Cut-off for the Habitable Worlds Observatory Coronagraph
Celeste Hagee, Natasha Latouf, Avi M. Mandell, Michael D. Himes, Michael Dane Moore, Geronimo L. Villanueva

TL;DR
This study uses Bayesian analysis to determine the optimal wavelength cutoff for detecting CO2 on exoEarths, informing future telescope designs by analyzing detectability across various conditions and molecular degeneracies.
Contribution
The paper introduces a Bayesian method to optimize the wavelength cutoff for CO2 detection on exoEarths, considering multiple planetary and observational factors.
Findings
Optimal long-wavelength cutoff is 1.68 μm for CO2 detection.
CO detection does not achieve strong detection at any abundance level.
Methane and water significantly influence CO2 detectability.
Abstract
We present our analysis of how the detectability of carbon dioxide (CO2) on an Earth-like planet varies with respect to signal-to-noise ratio (SNR), wavelength, and molecular abundance. Using the Bayesian Analysis for Remote Biosignature Identification on exoEarths (BARBIE) methodology, we can inform the optimal long-wavelength cut-off for the future Habitable Worlds Observatory (HWO) coronagraph. We test 25 evenly-spaced 20% bandpasses between 0.8-2.0{\mu}m, and simulate data spanning a range of SNRs and molecular abundance to analyze the relationship between wavelength and detectability for different planetary archetypes. We examine abundance levels from varying Earth epochs and a Venus-like archetype to investigate how detectability would change throughout the evolution of a rocky planet. Here, we present our results on the planetary conditions and technological requirements to…
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Taxonomy
TopicsSpace Science and Extraterrestrial Life · Planetary Science and Exploration · Stellar, planetary, and galactic studies
