242 citations · 2.5k across the 68 of their papers we have counts for
46 papers · 1 filter
Interacting dark energy constraints from the full-shape analyses of BOSS DR12 and DES Year 3 measurements
M. Tsedrik, S. Lee, K. Markovic +8
Dark Scattering (DS) is an interacting dark energy model characterised by pure momentum exchange between dark energy and dark matter. It is phenomenologically interesting because i…
Hydrodynamical simulations of merging galaxy clusters: giant dark matter particle colliders, powered by gravity
Ellen L. Sirks, David Harvey, Richard Massey +7
Terrestrial particle accelerators collide charged particles, then watch the trajectory of outgoing debris - but they cannot manipulate dark matter. Fortunately, dark matter is the…
Cosmological and idealized simulations of dark matter haloes with velocity-dependent, rare and frequent self-interactions
Moritz S. Fischer, Lenard Kasselmann, Marcus Brüggen +5
Dark matter self-interactions may have the capability to solve or at least mitigate small-scale problems of the cosmological standard model, Lambda Cold Dark Matter. There are a va…
Strong gravitational lensing's 'external shear' is not shear
Amy Etherington, James W. Nightingale, Richard Massey +19
The distribution of mass in galaxy-scale strong gravitational lenses is often modelled as an elliptical power law plus 'external shear', which notionally accounts for neighbouring…
Properties and observables of massive galaxies in self-interacting dark matter cosmologies
Claudio Mastromarino, Giulia Despali, Lauro Moscardini +3
We use hydrodynamical cosmological simulations to test the differences between cold and self-interacting dark matter models (CDM and SIDM) in the mass range of massive galaxies ($1…
Why weak lensing cluster shapes are insensitive to self-interacting dark matter
Andrew Robertson, Eric Huff, Katarina Markovic
We investigate whether the shapes of galaxy clusters inferred from weak gravitational lensing can be used as a test of the nature of dark matter. We analyse mock weak lensing data,…