Galaxies Going Bananas: Inferring the 3D Geometry of High-redshift Galaxies with JWST-CEERS
The 3D geometries of high-redshift galaxies remain poorly understood. We build a differentiable Bayesian model and use Hamiltonian Monte Carlo to efficiently and robustly infer the 3D shapes of star-forming galaxies in James Webb Space Telescope Cosmic Evolution Early Release Science observations with $\mathrm{log}{M}_{* }/{M}_{\odot }=9.0\mbox{--
Pandya, Viraj et al.
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3
2024