Constraining ultra-high-energy cosmic ray composition through cross-correlations
Journal of Cosmology and Astroparticle Physics IOP Publishing 2022:12 (2022) 003
The Cosmic Graph: Optimal Information Extraction from Large-Scale Structure using Catalogues
OJA 2022
Abstract:
We present an implicit likelihood approach to quantifying cosmological information over discrete catalogue data, assembled as graphs. To do so, we explore cosmological inference using mock dark matter halo catalogues. We employ Information Maximising Neural Networks (IMNNs) to quantify Fisher information extraction as a function of graph representation. We a) demonstrate the high sensitivity of modular graph structure to the underlying cosmology in the noise-free limit, b) show that networks automatically combine mass and clustering information through comparisons to traditional statistics, c) demonstrate that graph neural networks can still extract information when catalogues are subject to noisy survey cuts, and d) illustrate how nonlinear IMNN summaries can be used as asymptotically optimal compressed statistics for Bayesian implicit likelihood inference. We reduce the area of joint Ωm,σ8 parameter constraints with small (∼100 object) halo catalogues by a factor of 42 over the two-point correlation function, and demonstrate that the networks automatically combine mass and clustering information. This work utilises a new IMNN implementation over graph data in Jax, which can take advantage of either numerical or auto-differentiability. We also show that graph IMNNs successfully compress simulations far from the fiducial model at which the network is fitted, indicating a promising alternative to n-point statistics in catalogue-based analyses.
The cosmology dependence of the concentration–mass–redshift relation
Monthly Notices of the Royal Astronomical Society 517:2 (2022) 2000-2011
Abstract:
The concentrations of dark matter haloes provide crucial information about their internal structure and how it depends on mass and redshift – the so-called concentration–mass–redshift relation, denoted c(M, z). We present here an extensive study of the cosmology-dependence of c(M, z) that is based on a suite of 72 gravity-only, full N-body simulations in which the following cosmological parameters were varied: σQUBIC Experiment Toward the First Light
Journal of Low Temperature Physics Springer Nature 209:5-6 (2022) 839-848
Constraints on dark matter annihilation and decay from the large-scale structure of the nearby Universe
Physical Review D American Physical Society 106:10 (2022) 103526