Search
Now showing items 1-6 of 6
SKAO HI intensity mapping: blind foreground subtraction challenge
(University of the Western Cape, 2022)
Neutral Hydrogen Intensity Mapping (H I IM) surveys will be a powerful new probe of cosmology. However, strong astrophysical
foregrounds contaminate the signal and their coupling with instrumental systematics further ...
A deep radio view of the evolution of the cosmic star formation rate density from a stellar-mass-selected sample in VLA-COSMOS
(Royal Astronomical Society, 2022)
We present the 1.4 GHz radio luminosity functions (RLFs) of galaxies in the Cosmic Evolution Survey (COSMOS) field, measured above and below the 5σ detection threshold, using a Bayesian model-fitting technique. The radio ...
Practical galaxy morphology tools from deep supervised representation learning
(Oxford University Press, 2022)
Astronomers have typically set out to solve supervised machine learning problems by creating their own representations
from scratch. We show that deep learning models trained to answer every Galaxy Zoo DECaLS question ...
MIGHTEE-Hi: The relation between the Hi gas in galaxies and the cosmic web
(Oxford University Press, 2022)
We study the 3D axis of rotation (3D spin) of 77 Hi galaxies from the MIGHTEE-Hi Early Science observations, and its
relation to the filaments of the cosmic web. For this Hi-selected sample, the alignment between the spin ...
Breaking baryon-cosmology degeneracy with the electron density power spectrum
(IOP Publishing, 2022)
Uncertain feedback processes in galaxies affect the distribution of matter, currently limiting the power of weak lensing surveys. If we can identify cosmological statistics
that are robust against these uncertainties, or ...
Galaxy–galaxy lensing in the voice deep survey
(EDP Sciences, 2022)
The multi-band photometry of the VOICE imaging data, overlapping with 4.9 deg2 of the Chandra Deep Field South (CDFS) area,
enables both shape measurement and photometric redshift estimation to be the two essential ...