papers

Publications (50)

astro-ph.GA2018

DES Science Portal: Computing Photometric Redshifts

Julia Gschwend, Aurelio Carnero Rosell, Ricardo Ogando +68

A significant challenge facing photometric surveys for cosmological purposes is the need to produce reliable redshift estimates. The estimation of photometric redshifts (photo-zs)…

astro-ph.CO2010

The XMM Cluster Survey: Active Galactic Nuclei and Starburst Galaxies in XMMXCS J2215.9-1738 at z=1.46

Matt Hilton, Ed Lloyd-Davies, S. Adam Stanford +11

We use Chandra X-ray and Spitzer infrared observations to explore the AGN and starburst populations of XMMXCS J2215.9-1738 at z=1.46, one of the most distant spectroscopically conf…

astro-ph.CO2020

Dark Energy Survey Year 1 Results: Cosmological Constraints from Cluster Abundances and Weak Lensing

DES Collaboration, Tim Abbott, Michel Aguena +129

We perform a joint analysis of the counts and weak lensing signal of redMaPPer clusters selected from the Dark Energy Survey (DES) Year 1 dataset. Our analysis uses the same shear…

astro-ph.CO2012

The XMM Cluster Survey: Evidence for energy injection at high redshift from evolution of the X-ray luminosity-temperature relation

Matt Hilton, A. Kathy Romer, Scott T. Kay +21

We measure the evolution of the X-ray luminosity-temperature (L_X-T) relation since z~1.5 using a sample of 211 serendipitously detected galaxy clusters with spectroscopic redshift…

astro-ph.IM2015

Feature importance for machine learning redshifts applied to SDSS galaxies

Ben Hoyle, Markus Michael Rau, Roman Zitlau +2

We present an analysis of importance feature selection applied to photometric redshift estimation using the machine learning architecture Decision Trees with the ensemble learning…

astro-ph.GA2019

Correlations between X-ray properties and Black Hole Mass in AGN: towards a new method to estimate black hole mass from short exposure X-ray observations

Julian A. Mayers, Kathy Romer, Arya Fahari +14

Several investigations of the X-ray variability of active galactic nuclei (AGN) using the normalised excess variance () parameter have shown that variability has…