Joint kSZ-clustering analysis of ACT DR6 and CMASS yields a halo optical depth profile more extended than Websky simulations, suggesting stronger baryonic feedback.
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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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Constraints on Halo Gas Profiles from Joint kSZ and Galaxy Clustering Analysis of ACT DR6 and CMASS
Joint kSZ-clustering analysis of ACT DR6 and CMASS yields a halo optical depth profile more extended than Websky simulations, suggesting stronger baryonic feedback.
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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.