Search Results for author: Filipe B. Abdalla

Found 5 papers, 2 papers with code

Evaluating machine learning techniques for predicting power spectra from reionization simulations

no code implementations22 Nov 2018 William D. Jennings, Catherine A. Watkinson, Filipe B. Abdalla, Jason D. McEwen

We then present a proof-of-concept technique for mapping between two different simulations, exploiting our best emulator's fast prediction speed.

Cosmology and Nongalactic Astrophysics

ANNz2 - photometric redshift and probability distribution function estimation using machine learning

1 code implementation2 Jul 2015 Iftach Sadeh, Filipe B. Abdalla, Ofer Lahav

We present ANNz2, a new implementation of the public software for photometric redshift (photo-z) estimation of Collister and Lahav (2004), which now includes generation of full probability distribution functions (PDFs).

Cosmology and Nongalactic Astrophysics

PkANN - II. A non-linear matter power spectrum interpolator developed using artificial neural networks

no code implementations7 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

PkANN - I. Non-linear matter power spectrum interpolation through artificial neural networks

no code implementations8 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

The WiggleZ Dark Energy Survey: Direct constraints on blue galaxy intrinsic alignments at intermediate redshifts

1 code implementation27 Nov 2009 Rachel Mandelbaum, Chris Blake, Sarah Bridle, Filipe B. Abdalla, Sarah Brough, Matthew Colless, Warrick Couch, Scott Croom, Tamara Davis, Michael J. Drinkwater, Karl Forster, Karl Glazebrook, Ben Jelliffe, Russell J. Jurek, I-hui Li, Barry Madore, Chris Martin, Kevin Pimbblet, Gregory B. Poole, Michael Pracy, Rob Sharp, Emily Wisnioski, David Woods, Ted Wyder

Our null detection allows us to place upper limits on the contamination of weak lensing measurements by blue galaxy intrinsic alignments that, for the first time, do not require significant model-dependent extrapolation from the z~0. 1 SDSS observations.

Cosmology and Nongalactic Astrophysics

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