PIRSA:25070070

Self-consistent CMB secondaries in the FLAMINGO simulations

APA

McCarthy, I. (2025). Self-consistent CMB secondaries in the FLAMINGO simulations. Perimeter Institute for Theoretical Physics. https://pirsa.org/25070070

MLA

McCarthy, Ian. Self-consistent CMB secondaries in the FLAMINGO simulations. Perimeter Institute for Theoretical Physics, Jul. 28, 2025, https://pirsa.org/25070070

BibTex

          @misc{ scivideos_PIRSA:25070070,
            doi = {10.48660/25070070},
            url = {https://pirsa.org/25070070},
            author = {McCarthy, Ian},
            keywords = {Cosmology},
            language = {en},
            title = {Self-consistent CMB secondaries in the FLAMINGO simulations},
            publisher = {Perimeter Institute for Theoretical Physics},
            year = {2025},
            month = {jul},
            note = {PIRSA:25070070 see, \url{https://scivideos.org/pirsa/25070070}}
          }
          

Ian McCarthy Astrophysics Research Institute, LJMU

Talk numberPIRSA:25070070
Source RepositoryPIRSA
Collection
Talk Type Conference
Subject

Abstract

Secondary anisotropies in the cosmic microwave background (CMB) contain a wealth of cosmological and astrophysical information.  However, cleanly separating the individual contributions of the various kinds of anisotropies from each other can be a very challenging task, owing to uncertainties in their spatial, temporal, and spectral dependencies.  Realistic mock simulations of the CMB sky are invaluable for testing our methods of separating out the various signals and for making like-with-like comparisons between theory and observations.  Previous mocks have relied mostly on dark matter-only simulations with various prescriptions for "painting on" astrophysical signals.  Here we present a new set of mocks based on the FLAMINGO suite of cosmological hydrodynamical simulations, where the various anisotropies (tSZ, kSZ, screening, CIB, lensing, radio sources) are derived directly from the properties of the matter, gas and accreting black holes in the simulations.  We show that the simulations can reproduce various observational constraints with high accuracy.  We also show how these signals depend on cosmology and feedback modelling, and we predict interesting cross-correlations between some of the signals that differs significantly from that predicted by previous mocks.