YunMa: Advancing Atmospheric Cloud and Haze Analysis in the Next-Generation Exoplanet Data Era 

The analysis of exoplanetary spectroscopic data, captured by next-generation instruments like Webb, emphasizes the importance of accurately modeling clouds and hazes. While retrieval studies have emerged as one of the key methods for interpreting spectroscopic data, originating from data analysis of missions like Hubble and Spitzer, existing models often oversimplify clouds and hazes, making them inadequate for interpreting the higher-quality data from instruments like Webb and the coming Ariel mission.In response to this challenge, we developed YunMa (Ma et al. 2023), a comprehensive cloud and haze model optimised for retrieval studies that integrates particle size distribution and radiative-transfer simulations. YunMa is versatile, serving as both a standalone model and an integrated component within the TauREx spectral retrieval framework.We demonstrate YunMa's capabilities and present simulations and retrievals of various cloud and haze types. Our results explore the potential of extracting features from data collected by Webb and Ariel, as well as conducting large-scale simulations for exoplanet population studies, incorporating detailed chemistry and cloud modeling. References:Ma et al 2023 ApJ 957 104 doi 10.3847/1538-4357/acf8ca