4.1k citations · 31.4k across the 275 of their papers we have counts for
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Designing Decisive Detections
R. Trotta, M. Kunz, A. R. Liddle
We present a general Bayesian formalism for the definition of Figures of Merit (FoMs) quantifying the scientific return of a future experiment. We introduce two new FoMs for future…
Detecting and distinguishing topological defects in future data from the CMBPol satellite
Pia Mukherjee, Jon Urrestilla, Martin Kunz +3
The proposed CMBPol mission will be able to detect the imprint of topological defects on the cosmic microwave background (CMB) provided the contribution is sufficiently strong. We…
The XMM Cluster Survey: X-ray analysis methodology
E. J. Lloyd-Davies, A. Kathy Romer, Nicola Mehrtens +20
The XMM Cluster Survey (XCS) is a serendipitous search for galaxy clusters using all publicly available data in the XMM-Newton Science Archive. Its main aims are to measure cosmolo…
Application of Bayesian model averaging to measurements of the primordial power spectrum
David Parkinson, Andrew R. Liddle
Cosmological parameter uncertainties are often stated assuming a particular model, neglecting the model uncertainty, even when Bayesian model selection is unable to identify a conc…
The XMM Cluster Survey: The build up of stellar mass in Brightest Cluster Galaxies at high redshift
J. P. Stott, C. A. Collins, M. Sahlen +14
We present deep J and Ks band photometry of 20 high redshift galaxy clusters between z=0.8-1.5, 19 of which are observed with the MOIRCS instrument on the Subaru Telescope. By usin…
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…