Anthony Lasenby

TL;DR: In this article, the Sunyaev-Zeldovich (SZ) signal-to-richness scaling relation (Y500 − N200) for the MaxBCG cluster catalogue is presented.

TL;DR: The first public release of the generic neural network training algorithm SKYNET is presented, able to train large and deep feedforward neural networks, including autoencoders, for use in a wide range of supervised and unsupervised learning applications, such as regression, classification, density estimation, clustering and dimensionality reduction.

TL;DR: Spectral energy distributions and radio continuum spectra are presented for a northern sample of 104 extragalactic radio sources, based on the Planck Early Release Compact Source Catalogue (ERCSC) and simultaneous multifrequency data as mentioned in this paper.

TL;DR: The all-sky Planck catalogue of 1227 clusters and cluster candidates (PSZ1) published in March 2013, derived from Sunyaev-Zeldovich (SZ) e ect detections using the first 15.5 months of Planck satellite observations, was updated in this paper.

TL;DR: In this paper, the authors used the Planck data to search for signatures of a fraction of the missing baryons between two pairs of galaxy clusters using the thermal Sunyaev-Zel'dovich (tSZ) effect.