activity
19992023
most citedThe Herschel ATLAS

596 citations · 15.4k across the 253 of their papers we have counts for

collaborators
Showing 2019Show all

17 papers · 1 filter

astro-ph.CO2019★ 31 cited

Non-Gaussianity Constraints using Future Radio Continuum Surveys and the Multi-Tracer Technique

Zahra Gomes, Stefano Camera, Matt J. Jarvis +2

Tighter constraints on measurements of primordial non-Gaussianity will allow the differentiation of inflationary scenarios. The cosmic microwave background bispectrum-the standard…

astro-ph.GA2019★ 5 cited

The Performance of Photometric Reverberation Mapping at High Redshift and the Reliability of Damped Random Walk Models

S. C. Read, D. J. B. Smith, M. J. Jarvis +1

Accurate methods for reverberation mapping using photometry are highly sought after since they are inherently less resource intensive than spectroscopic techniques. However, the ef…

astro-ph.GA2019

Accretion and star formation in 'radio-quiet' quasars

Sarah V. White, Matt J. Jarvis, Eleni Kalfountzou +4

Radio observations allow us to identify a wide range of active galactic nuclei (AGN), which play a significant role in the evolution of galaxies. Amongst AGN at low radio-luminosit…

astro-ph.GA2019★ 56 cited

The rest-frame UV luminosity function at : a significant contribution of AGN to the bright-end of the galaxy population

N. J. Adams, R. A. A. Bowler, M. J. Jarvis +5

We measure the rest-frame UV luminosity function (LF) at self-consistently over a wide range in absolute magnitude (). The LF is me…

astro-ph.GA2019★ 8 cited

Comparing Galaxy Clustering in Horizon-AGN Simulated Lightcone Mocks and VIDEO Observations

Peter Hatfield, Clotilde Laigle, Matt Jarvis +5

Hydrodynamical cosmological simulations have recently made great advances in reproducing galaxy mass assembly over cosmic time - as often quantified from the comparison of their pr…

physics.plasm-ph2019★ 16 cited

Using Sparse Gaussian Processes for Predicting Robust Inertial Confinement Fusion Implosion Yields

Peter Hatfield, Steven Rose, Robbie Scott +3

Here we present the application of an advanced Sparse Gaussian Process based machine learning algorithm to the challenge of predicting the yields of inertial confinement fusion (IC…