Search Results for author:
Found 5 papers, 4 papers with code
Cosmology from Galaxy Redshift Surveys with PointNet
In this work, we aim to improve upon two-point statistics by employing a \textit{PointNet}-like neural network to regress the values of the cosmological parameters directly from point cloud data.
Magnification bias in galaxy surveys with complex sample selection functions
For BOSS-like lenses, we forecast a contribution of the magnification bias to the GGL signal between the multipole moments, $\ell$, of 100 and 4600 with a cumulative signal-to-noise ratio between 0. 1 and 1. 1 for sources from the Kilo-Degree Survey (KiDS), between 0. 4 and 2. 0 for sources from the Hyper Suprime-Cam survey (HSC), and between 0. 3 and 2. 8 for ESA Euclid-like source samples.
Cosmology and Nongalactic Astrophysics
HMcode-2020: Improved modelling of non-linear cosmological power spectra with baryonic feedback
We present an updated version of the HMcode augmented halo model that can be used to make accurate predictions of the non-linear matter power spectrum over a wide range of cosmologies.
Cosmology and Nongalactic Astrophysics
KiDS-1000 catalogue: Weak gravitational lensing shear measurements
We present weak lensing shear catalogues from the fourth data release of the Kilo-Degree Survey, KiDS-1000, spanning 1006 square degrees of deep and high-resolution imaging.
Cosmology and Nongalactic Astrophysics
Painting with baryons: augmenting N-body simulations with gas using deep generative models
We train two deep generative models, a variational auto-encoder and a generative adversarial network, on pairs of matter density and pressure slices from the BAHAMAS hydrodynamical simulation.
