no code implementations • 7 Dec 2013 • Shankar Agarwal, Filipe B. Abdalla, Hume A. Feldman, Ofer Lahav, Shaun A. Thomas
The overall precision of PkANN is set by the accuracy of our N-body simulations, at 5 per cent level for cosmological models with $\sum m_\nu<0. 5$ eV for all redshifts $z\leq2$.
Cosmology and Nongalactic Astrophysics
no code implementations • 8 Mar 2012 • Shankar Agarwal, Filipe B. Abdalla, Hume A. Feldman, Ofer Lahav, Shaun A. Thomas
We show that an optimally trained artificial neural network (ANN), when presented with a set of cosmological parameters (Omega_m h^2, Omega_b h^2, n_s, w_0, sigma_8, m_nu and redshift z), can provide a worst-case error <=1 per cent (for z<=2) fit to the non-linear matter power spectrum deduced through N-body simulations, for modes up to k<=0. 7 h/Mpc.
Cosmology and Nongalactic Astrophysics
