most citedAugmenting machine learning photometric redshifts with Gaussian mixture models

20 citations · 20 across the 1 of their papers we have counts for

collaborators

5 papers

astro-ph.GA202418 cited

MIGHTEE-HI: deep spectral line observations of the COSMOS field

I. Heywood, A. A. Ponomareva, N. Maddox +16

The MIGHTEE survey utilises the South African MeerKAT radio telescope to observe four extragalactic deep fields, with the aim of advancing our understanding of the formation and ev…

astro-ph.GA2024

Deep extragalactic HI survey of the COSMOS field with FAST

Hengxing Pan, Matt J. Jarvis, Ming Zhu +9

We present a deep HI survey at L-band conducted with the Five-hundred-meter Aperture Spherical radio Telescope (FAST) over the COSMOS field. This survey is strategically designed t…

astro-ph.GA202020 cited

Augmenting machine learning photometric redshifts with Gaussian mixture models

P. W. Hatfield, I. A. Almosallam, M. J. Jarvis +5

Wide-area imaging surveys are one of the key ways of advancing our understanding of cosmology, galaxy formation physics, and the large-scale structure of the Universe in the coming…

astro-ph.GA2018

The LOFAR Two-metre Sky Survey IV. First Data Release: Photometric redshifts and rest-frame magnitudes

Kenneth J Duncan, J. Sabater, H. J. A. Röttgering +24

The LOFAR Two-metre Sky Survey (LoTSS) is a sensitive, high-resolution 120-168 MHz survey of the Northern sky. The LoTSS First Data Release (DR1) presents 424 square degrees of rad…

astro-ph.GA2018

The LOFAR Two-metre Sky Survey - II. First data release

T. W. Shimwell, C. Tasse, M. J. Hardcastle +104

The LOFAR Two-metre Sky Survey (LoTSS) is an ongoing sensitive, high-resolution 120-168MHz survey of the entire northern sky for which observations are now 20% complete. We present…