12-25-2025, 04:42 AM
I'm an astronomy PhD student modeling exoplanet atmospheres, specifically focusing on transmission spectroscopy data from JWST for hot Jupiters. I'm running into significant challenges when trying to reconcile observed spectra with my atmospheric retrieval models, particularly around cloud and haze parameterization. The degeneracies between temperature profiles, metallicity, and cloud properties are making it difficult to draw firm conclusions. For others working in this area, what retrieval frameworks or statistical approaches are you finding most robust for breaking these degeneracies with the new JWST precision? How are you handling the treatment of non-equilibrium chemistry in your models when fitting real data?