107 citations · 543 across the 11 of their papers we have counts for
11 papers
Modelling Galaxy Merger Timescales and Tidal Destruction
Vimal Simha, Shaun Cole
We present a model for the dynamical evolution of subhaloes based on an approach combining numerical and analytical methods. Our method is based on tracking subhaloes in an N-body…
Equilibrium model prediction for the scatter in the star-forming main sequence
Sourav Mitra, Romeel Davé, Vimal Simha +1
The analytic "equilibrium model" for galaxy evolution using a mass balance equation is able to reproduce mean observed galaxy scaling relations between stellar mass, halo mass, sta…
A new methodology to test galaxy formation models using the dependence of clustering on stellar mass
David J. R. Campbell, Carlton M. Baugh, Peter D. Mitchell +6
We present predictions for the two-point correlation function of galaxy clustering as a function of stellar mass, computed using two new versions of the GALFORM semi-analytic galax…
Parametrising Star Formation Histories
Vimal Simha, David H. Weinberg, Charlie Conroy +4
We examine the star formation histories (SFHs) of galaxies in smoothed particle hydrodynamics (SPH) simulations, compare them to parametric models that are commonly used in fitting…
Cosmological Constraints from applying SHAM to rescaled cosmological simulations
Vimal Simha, Shaun Cole
We place constraints on the matter density of the Universe and the amplitude of clustering using measurements of the galaxy two-point correlation function from the Sloan Digital Sk…
Testing Subhalo Abundance Matching in Cosmological Smoothed Particle Hydrodynamics Simulations
Vimal Simha, David Weinberg, Romeel Dave +3
Subhalo abundance matching (SHAM) is a technique for populating simulated dark matter distributions with galaxies, assuming a monotonic relation between a galaxy's stellar mass or…