1 citations · 1 across the 1 of their papers we have counts for
4 papers
Polar coordinate transformations for machine learning based dark matter subhalo detection in strong gravitational lenses
Jacob M Campbell, Simon Dye, Emma Chapman +1
Strong gravitational lensing provides a powerful probe of dark matter, particularly on small scales where the gravitational effects of dark matter subhalos within galaxies can mani…
No hidden monsters: Probing recently-quenched galaxies for obscured AGN with JWST-PRIMER MIRI and NIRCam
Guillaume Hewitt, Omar Almaini, David Maltby +13
We investigate the role of obscured active galactic nuclei (AGN) in recently quenched post-starburst galaxies (PSBs), using a sample of 65 photometrically selected PSBs in the PRIM…
Recovering the Coupled Treatment of Redshift-Space Distortions and the Lightcone Effect after Diffuse Foreground Removal
Jennifer Feron, Emma Chapman
The 21 cm brightness temperature during the Epoch of Reionisation is widely modelled using semi-numeric simulations, used for their computational speed and flexibility in testing a…
Reproducibility of machine learning analyses of 21 cm reionization maps
Kimeel Sooknunan, Emma Chapman, Luke Conaboy +2
Machine learning (ML) methods have become popular for parameter inference in cosmology, although their reliance on specific training data can cause difficulties when applied across…