GalSBI extended with optimal transport subhalo matching and SBI to forward-model galaxy population plus clustering, validated against DES Y3 and HSC data with public code release.
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AI techniques for photometric redshift estimation have converged and are now limited by the size, systematics, and selection effects in spectroscopic training samples rather than by methodology.
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GalSBI: Forward Modelling Galaxy Clustering and Population
GalSBI extended with optimal transport subhalo matching and SBI to forward-model galaxy population plus clustering, validated against DES Y3 and HSC data with public code release.
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Machine Learning Techniques for Astrophysics and Cosmology: Photometric Redshifts
AI techniques for photometric redshift estimation have converged and are now limited by the size, systematics, and selection effects in spectroscopic training samples rather than by methodology.
- Rapid and robust simulation-based inference for kilonovae