Flexible simulation-based inference for galaxy photometric fitting with synthesizer
We introduce SYNFERENCE, a new flexible Python framework for galaxy spectral energy distribution (SED) fitting using simulation-based inference (SBI). SYNFERENCE leverages the SYNTHESIZER package for flexible forward-modelling of galaxy SEDs and integrates the LTU-ILI package to ensure best practices in model training and validation. In this work
Harvey, Thomas et al.
Fecha de publicación:
3
2026