The Clear Sky Corridor: Insights Towards Aerosol Formation in Exoplanets Using An AI-based Survey of Exoplanet Atmospheres
Reza Ashtari, Kevin B. Stevenson, David Sing, Mercedes Lopez-Morales,, Munazza K. Alam, Nikolay K. Nikolov, Thomas M. Evans-Soma

TL;DR
This paper introduces an AI-driven method to standardize and improve the extraction of transmission spectra from HST data, revealing new aerosol formation trends across diverse exoplanets and establishing a foundation for future JWST studies.
Contribution
The study presents an AI-based pipeline that autonomously processes exoplanet spectra, uncovering novel aerosol formation trends and the 'Clear Sky Corridor' in exoplanet atmospheres.
Findings
Confirmed water band amplitude-temperature relationship in hot Jupiters.
Identified a new trend in Neptune/sub-Neptune atmospheres.
Discovered the 'Clear Sky Corridor' linking planet mass, temperature, and aerosol presence.
Abstract
Producing optimized and accurate transmission spectra of exoplanets from telescope data has traditionally been a manual and labor-intensive procedure. Here we present the results of the first attempt to improve and standardize this procedure using artificial intelligence (AI) based processing of light curves and spectroscopic data from transiting exoplanets observed with the Hubble Space Telescope's (HST) Wide Field Camera 3 (WFC3) instrument. We implement an AI-based parameter optimizer that autonomously operates the Eureka pipeline to produce homogeneous transmission spectra of publicly available HST WFC3 datasets, spanning exoplanet types from hot Jupiters to sub-Neptunes. Surveying 42 exoplanets with temperatures between 280 and 2580 Kelvin, we confirm modeled relationships between the amplitude of the water band at 1.4um in hot Jupiters and their equilibrium temperatures. We also…
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Taxonomy
TopicsStellar, planetary, and galactic studies · Astronomy and Astrophysical Research
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