Constraining ultra-high-energy cosmic ray composition through cross-correlations

Journal of Cosmology and Astroparticle Physics IOP Publishing 2022:12 (2022) 003

Authors:

Konstantinos Tanidis, Federico R Urban, Stefano Camera

The Cosmic Graph: Optimal Information Extraction from Large-Scale Structure using Catalogues

OJA 2022

Authors:

T. Lucas Makinen, Tom Charnock, Pablo Lemos, Natalia Porqueres, Alan Heavens, Benjamin D. Wandelt

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

Authors:

D López-Cano, RE Angulo, AD Ludlow, M Zennaro, S Contreras, J Chaves-Montero, G Aricò

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: σ8Mb, ns, h, Mν, w0, and wa. We characterize the impact of these parameters on concentrations for different halo masses and redshifts. In agreement with previous works, and for all cosmologies studied, we find that there exists a tight correlation between the characteristic densities of dark matter haloes within their scale radii, r−2, and the critical density of the universe at a suitably defined formation time. This finding, when combined with excursion set modelling of halo formation histories, allows us to accurately predict the concentrations of dark matter haloes as a function of mass, redshift, and cosmology. We use our simulations to test the reliability of a number of published models for predicting halo concentration and highlight when they succeed or fail to reproduce the cosmological c(M, z) relation.

QUBIC Experiment Toward the First Light

Journal of Low Temperature Physics Springer Nature 209:5-6 (2022) 839-848

Authors:

G D’Alessandro, ES Battistelli, P de Bernardis, M De Petris, MM Gamboa Lerena, L Grandsire, J-Ch Hamilton, S Marnieros, S Masi, A Mennella, L Mousset, C O’Sullivan, M Piat, A Tartari, SA Torchinsky, F Voisin, M Zannoni, P Ade, JG Alberro, A Almela, G Amico, LH Arnaldi, D Auguste, J Aumont, S Azzoni, S Banfi, A Baù, B Bélier, D Bennett, L Bergé, J-Ph Bernard, M Bersanelli, M-A Bigot-Sazy, J Bonaparte, J Bonis, E Bunn, D Burke, D Buzi, F Cavaliere, P Chanial, C Chapron, R Charlassier, AC Cobos Cerutti, F Columbro, A Coppolecchia, G De Gasperis, M De Leo, S Dheilly, C Duca, L Dumoulin, A Etchegoyen, A Fasciszewski, LP Ferreyro, D Fracchia, C Franceschet, KM Ganga, B García, ME García Redondo, M Gaspard, D Gayer, M Gervasi, M Giard, V Gilles, Y Giraud-Heraud, M Gómez Berisso, M González, M Gradziel, MR Hampel, D Harari, S Henrot-Versillé, F Incardona, E Jules, J Kaplan, C Kristukat, L Lamagna, S Loucatos, T Louis, B Maffei, W Marty, A Mattei, A May, M McCulloch, L Mele, D Melo, L Montier, LM Mundo, JA Murphy, JD Murphy, F Nati, E Olivieri, C Oriol, A Paiella, F Pajot, A Passerini, H Pastoriza, A Pelosi, C Perbost, M Perciballi, F Pezzotta, F Piacentini, L Piccirillo, G Pisano, M Platino, G Polenta, D Prêle, G Presta, R Puddu, D Rambaud, E Rasztocky, P Ringegni, GE Romero, JM Salum, A Schillaci, CG Scóccola, S Scully, S Spinelli, G Stankowiak, M Stolpovskiy, AD Supanitsky, J-P Thermeau, P Timbie, M Tomasi, G Tucker, C Tucker, D Viganò, N Vittorio, F Wicek, M Wright, A Zullo

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

Authors:

DJ Bartlett, A Kostić, H Desmond, J Jasche, G Lavaux

Abstract:

Decaying or annihilating dark matter particles could be detected through gamma-ray emission from the species they decay or annihilate into. This is usually done by modeling the flux from specific dark matter-rich objects such as the Milky Way halo, Local Group dwarfs, and nearby groups. However, these objects are expected to have significant emission from baryonic processes as well, and the analyses discard gamma-ray data over most of the sky. Here we construct full-sky templates for gamma-ray flux from the large-scale structure within ∼200 Mpc by means of a suite of constrained N-body simulations (csiborg) produced using the Bayesian Origin Reconstruction from Galaxies algorithm. Marginalizing over uncertainties in this reconstruction, small-scale structure, and parameters describing astrophysical contributions to the observed gamma-ray sky, we compare to observations from the Fermi Large Area Telescope to constrain dark matter annihilation cross sections and decay rates through a Markov chain Monte Carlo analysis. We rule out the thermal relic cross section for s-wave annihilation for all mχ7 GeV/c2 at 95% confidence if the annihilation produces gluons or quarks less massive than the bottom quark. We infer a contribution to the gamma-ray sky with the same spatial distribution as dark matter decay at 3.3σ. Although this could be due to dark matter decay via these channels with a decay rate Γ≈6×10-28 s-1, we find that a power-law spectrum of index p=-2.75-0.46+0.71, likely of baryonic origin, is preferred by the data.