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astro-ph.GA2025
ProMage: fast galaxy magnitudes emulation combining SED forward-modelling and machine learning
Luca Tortorelli, Silvan Fischbacher, Aaron S. G. Robotham +2
We present ProMage, a feed-forward neural network that emulates the computation of observer- and rest-frame magnitudes from the generative galaxy SED package ProSpect. The network…
astro-ph.GA2025
GalSBI-SPS: a stellar population synthesis-based galaxy population model for cosmology and galaxy evolution applications
Luca Tortorelli, Silvan Fischbacher, Daniel Grün +4
Next generation photometric and spectroscopic surveys will enable unprecedented tests of the concordance cosmological model and of galaxy formation and evolution. Fully exploiting…