Evaluating the variance of individual halo properties in constrained cosmological simulations

Monthly Notices of the Royal Astronomical Society Oxford University Press (OUP) 534:4 (2024) 3120-3132

Authors:

Richard Stiskalek, Harry Desmond, Julien Devriendt, Adrianne Slyz

Abstract:

Constrained cosmological simulations play an important role in modelling the local Universe, enabling investigation of the dark matter content of local structures and their formation. We introduce an internal method for quantifying the extent to which the variance of individual halo properties is suppressed by the constraints imposed on the initial conditions. We apply it to the Constrained Simulations in BORG (CSiBORG) suite of 101 high-resolution realizations across the posterior probability distribution of initial conditions from the Bayesian Origin Reconstruction from Galaxies (BORG) algorithm. The method is based on the overlap of the initial Lagrangian patch of a halo in one simulation with those in another, measuring the degree to which the haloes' particles are initially coincident. This addresses the extent to which the imposed large-scale structure constraints reduce the variance of individual halo properties. We find consistent reconstructions of M≳1014M⊙h-1 haloes, indicating that the constraints from the BORG algorithm are sufficient to pin down the masses, positions, and peculiar velocities of clusters to high precision, though we do not assess how well they reproduce observations of the local Universe. The effect of the constraints tapers off towards lower mass, and the halo spins and concentrations are largely unconstrained at all masses. We document the advantages of evaluating halo consistency in the initial conditions and describe how the method may be used to quantify our knowledge of the halo field given galaxy survey data analysed through the lens of probabilistic inference machines such as BORG.

Black hole spin evolution across cosmic time from the NewHorizon simulation

(2024)

Authors:

Ricarda S Beckmann, Yohan Dubois, Marta Volonteri, Chi An Dong-Paez, Sebastien Periani, Joanna M Piotrowska, Garreth Martin, Katharina Kraljic, Julien Devriendt, Christophe Peirani, Sukyoung K Yi

Self-interacting scalar dark matter around binary black holes

(2024)

Authors:

Josu C Aurrekoetxea, James Marsden, Katy Clough, Pedro G Ferreira

Self-interacting scalar dark matter around binary black holes

Physical Review D American Physical Society (APS) 110:8 (2024) 83011

Authors:

Josu C Aurrekoetxea, James Marsden, Katy Clough, Pedro G Ferreira

Abstract:

Gravitational waves can provide crucial insights about the environments in which black holes live. In this work, we use numerical relativity simulations to study the behavior of self-interacting scalar (wavelike) dark matter clouds accreting onto isolated and binary black holes. We find that repulsive self-interactions smoothen the "spike"of an isolated black hole and saturate the density. Attractive self-interactions enhance the growth and result in more cuspy profiles, but can become unstable and undergo explosions akin to the superradiant bosenova that reduce the local cloud density. We quantify the impact of self-interactions on an equal-mass black hole merger by computing the dephasing of the gravitational-wave signal for a range of couplings. We find that repulsive self-interactions saturate the density of the cloud, thereby reducing the dephasing. For attractive self-interactions, the dephasing may be larger, but if these interactions dominate prior to the merger, the dark matter can undergo bosenova during the inspiral phase, disrupting the cloud and subsequently reducing the dephasing.

Finding radio transients with anomaly detection and active learning based on volunteer classifications

(2024)

Authors:

Alex Andersson, Chris Lintott, Rob Fender, Michelle Lochner, Patrick Woudt, Jakob van den Eijnden, Alexander van der Horst, Assaf Horesh, Payaswini Saikia, Gregory R Sivakoff, Lilia Tremou, Mattia Vaccari