FLAGS-I delivers the deepest JWST/NIRCam number counts to date, new 2.77 and 4.10 micron IGL constraints, and a model comparison that ranks SC-SAM first.
Synthesizer: Synthetic Observables For Modern Astronomy
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abstract
Synthesizer is a fast, flexible, modular, and extensible Python package that empowers astronomers to turn theoretical galaxy models into realistic synthetic observations - including spectra, photometry, images, and spectral cubes - with a focus on interchangeable modelling assumptions. By offloading computationally intensive tasks to threaded C++ extensions, Synthesizer delivers both simplicity and speed, enabling rapid forward-modelling workflows without requiring users to manage low-level data processing and computational details.
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First Light and Assembly of GalaxieS (FLAGS) I: The JWST/NIRCam Number Counts and IGL as Constraints on Galaxy Formation Models
FLAGS-I delivers the deepest JWST/NIRCam number counts to date, new 2.77 and 4.10 micron IGL constraints, and a model comparison that ranks SC-SAM first.