74 citations · 151 across the 5 of their papers we have counts for
6 papers
High-confidence pseudo-labels for domain adaptation in COVID-19 detection
Robert Turnbull, Simon Mutch
This paper outlines our submission for the 4th COV19D competition as part of the `Domain adaptation, Explainability, Fairness in AI for Medical Image Analysis' (DEF-AI-MIA) worksho…
Dark-ages Reionization and Galaxy Formation Simulation -- XVII. Sizes, angular momenta and morphologies of high redshift galaxies
Madeline A. Marshall, Simon J. Mutch, Yuxiang Qin +2
We study the sizes, angular momenta and morphologies of high-redshift galaxies using an update of the Meraxes semi-analytic galaxy evolution model. Our model successfully reproduce…
Dark-ages reionization and galaxy formation simulation - IX. Economics of reionizing galaxies
Alan R. Duffy, Simon J. Mutch, Gregory B. Poole +4
Using a series of high-resolution hydrodynamical simulations we show that during the rapid growth of high-redshift (z > 5) galaxies, reserves of molecular gas are consumed over a t…
Dark-ages reionization and galaxy formation simulation--VII. The sizes of high-redshift galaxies
Chuanwu Liu, Simon J. Mutch, Gregory B. Poole +5
We investigate high-redshift galaxy sizes using a semi-analytic model constructed for the Dark-ages Reionization And Galaxy-formation Observables from Numerical Simulation project.…
The host galaxies of X-ray selected Active Galactic Nuclei to z=2.5: Structure, star-formation and their relationships from CANDELS and Herschel/PACS
D. J. Rosario, D. H. McIntosh, A. van der Wel +60
We study the relationship between the structure and star-formation rate (SFR) of X-ray selected low and moderate luminosity active galactic nuclei (AGNs) in the two Chandra Deep Fi…
Low-mass galaxy formation and the ionizing photon budget during reionization
Alan R. Duffy, J. Stuart B. Wyithe, Simon J. Mutch +1
We use high-resolution simulations of cosmological volumes to model galaxy formation at high-redshift, with the goal of studying the photon budget for reionization. We demonstrate…