1 code implementation • 5 Feb 2016 • Alexander Mead, Catherine Heymans, Lucas Lombriser, John Peacock, Olivia Steele, Hans Winther
We show that the tuned halo model method can predict the non-linear matter power spectrum measured from simulations of parameterised $w(a)$ dark energy models at the few per cent level for $k<10\, h\mathrm{Mpc}^{-1}$, and we present theoretically motivated extensions to cover non-minimally coupled scalar fields, massive neutrinos and Vainshtein screened modified gravity models that result in few per cent accurate power spectra for $k<10\, h\mathrm{Mpc}^{-1}$.
Cosmology and Nongalactic Astrophysics
2 code implementations • 28 May 2015 • Alexander Mead, John Peacock, Catherine Heymans, Shahab Joudaki, Alan Heavens
We are able to fit all feedback models investigated at the 5 per cent level using only two free parameters, and we place limits on the range of these halo parameters for feedback models investigated by the OWLS simulations.
Cosmology and Nongalactic Astrophysics
1 code implementation • 5 Aug 2014 • Alexander Mead, John Peacock
We discuss the extension to redshift space of a rescaling algorithm, designed to alter the effective cosmology of a pre-existing simulated particle distribution or catalogue of dark matter haloes.
Cosmology and Nongalactic Astrophysics
1 code implementation • 23 Aug 2013 • Alexander Mead, John Peacock
We present and test a method for modifying the catalogue of dark matter haloes produced from a given cosmological simulation, so that it resembles the result of a simulation with an entirely different set of parameters.
Cosmology and Nongalactic Astrophysics
