237 citations · 477 across the 7 of their papers we have counts for
7 papers
Dark Energy Survey internal consistency tests of the joint cosmological probes analysis with posterior predictive distributions
C. Doux, E. Baxter, P. Lemos +85
Beyond-CDM physics or systematic errors may cause subsets of a cosmological data set to appear inconsistent when analyzed assuming CDM. We present an application of internal…
The Effect of Environment on Type Ia Supernovae in the Dark Energy Survey Three-Year Cosmological Sample
L. Kelsey, M. Sullivan, M. Smith +73
Analyses of type Ia supernovae (SNe Ia) have found puzzling correlations between their standardised luminosities and host galaxy properties: SNe Ia in high-mass, passive hosts appe…
First Cosmological Results using Type Ia Supernovae from the Dark Energy Survey: Measurement of the Hubble Constant
E. Macaulay, R. C. Nichol, D. Bacon +106
We present an improved measurement of the Hubble constant (H_0) using the 'inverse distance ladder' method, which adds the information from 207 Type Ia supernovae (SNe Ia) from the…
Learning from the machine: interpreting machine learning algorithms for point- and extended- source classification
Xan Morice-Atkinson, Ben Hoyle, David Bacon
We investigate star-galaxy classification for astronomical surveys in the context of four methods enabling the interpretation of black-box machine learning systems. The first is ou…
The MeerKAT International GHz Tiered Extragalactic Exploration (MIGHTEE) Survey
Matt J. Jarvis, A. R. Taylor, I. Agudo +54
The MIGHTEE large survey project will survey four of the most well-studied extragalactic deep fields, totalling 20 square degrees to Jy sensitivity at Giga-Hertz frequencies, as…
Weak lensing by galaxy troughs in DES Science Verification data
D. Gruen, O. Friedrich, A. Amara +89
We measure the weak lensing shear around galaxy troughs, i.e. the radial alignment of background galaxies relative to underdensities in projections of the foreground galaxy field o…