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astro-ph.GA2026
A graph-based Neural Network surrogate model for accelerating semi-analytical model of galaxy formation and evolution
Xuejie Li, Zhongxu Zhai, Xiaohu Yang +2
Understanding how galaxy populations emerge and evolve from the growth of dark matter structure is a central challenge in galaxy formation theory. Semi-analytic models (SAMs) provi…
astro-ph.GA2024
Population synthesis and astrophysical inference for high- JWST galaxies
Trey Driskell, Ethan O. Nadler, Andrew Benson +1
Observations of the high- Universe from JWST have revealed a new population of bright, early galaxies. A robust statistical interpretation of this data requires fast forward mod…