On Bayesian Analysis for Remote Biosignature Identification on exoEarths (BARBIE) and Beyond

We have seen the discovery and confirmation of thousands of exoplanets since the first planet found orbiting a Sun-like star, and we are now on the verge of entering an exciting new era of planetary exploration: detection and characterization of terrestrial exoplanet atmospheres. Detecting \ce{H2O}, \ce{O2}, and \ce{O3} in exoplanet atmospheres is the first step on the path to determining planet habitability, and efficiency is key to maximizing the science output from limited observation time, especially in next-generation instrument design such as the upcoming Habitable Worlds Observatory (HWO). Knowing this, the optimal wavelength for the spectral bandpass used for observations is a crucial factor to consider. Coronagraphic design currently limits the observing strategy used to detect key biosignatures, requiring the choice of specific bandpasses to optimize abundance constraints. We initially use a pre-constructed grid consisting of 1.4 million geometric albedo spectra across a range of abundance and pressure, and interpolate to produce forward models for an efficient nested sampling routine, PSGnest, thus enabling wide ranges of parametric retrievals. We then rebuild the grid to include a larger wavelength range and additional parameters to explore a wider range of possible planets and repeat our detectability analysis. By understanding the SNR requirements for detecting molecules of interest, and properly prioritizing the spectral bandpasses to optimize detectability of different atmospheric constituents, we can inform the best instrument designs and observing procedure as we look to the HWO. Telescope development is a multi-generational task, encompassing many years of scientists being trained and recruited. By implementing effective and ethical mentorship techniques based on current research into the ground floor of future telescope development, we can increase the rate of recruitment and retention of historically minoritized groups in astronomy and physics.

Author

• Latouf, Natasha

• astrobiology
• bayesian
• biosignatures
• exoplanets
• retrieval
• spectroscopy

Identifier

hdl:1920/14689

OAI identifier oai:identifier

oai:MARS:1920/14689