124 citations · 1.8k across the 68 of their papers we have counts for
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Redshifts of radio sources in the Million Quasars Catalogue from machine learning
S. J. Curran, J. P. Moss, Y. C. Perrott
With the aim of using machine learning techniques to obtain photometric redshifts based upon a source's radio spectrum alone, we have extracted the radio sources from the Million Q…
Quasar photometric redshifts from incomplete data using Deep Learning
S. J. Curran
Forthcoming astronomical surveys are expected to detect new sources in such large numbers that measuring their spectroscopic redshift measurements will be not be practical. Thus, t…
QSO photometric redshifts using machine learning and neural networks
S. J. Curran, J. P. Moss, Y. C. Perrott
The scientific value of the next generation of large continuum surveys would be greatly increased if the redshifts of the newly detected sources could be rapidly and reliably estim…
A fourth HI 21-cm absorption system in the sight-line of MG J0414+0534: a record for intervening absorbers
A. Tanna, S. J. Curran, M. T. Whiting +2
We report the detection of a strong HI 21-cm absorption system at z=0.5344, as well as a candidate system at z=0.3389, in the sight-line towards the z=2.64 quasar MG J0414+0534. Th…
A precise and accurate determination of the cosmic microwave background temperature at z=0.89
S. Muller, A. Beelen, J. H. Black +6
According to the Big Bang theory and as a consequence of adiabatic expansion of the Universe, the temperature of the cosmic microwave background (CMB) increases linearly with redsh…
Broad, weak 21 cm absorption in an early type galaxy: spectral-line finding and parametrization for future surveys
J. R. Allison, S. J. Curran, E. M. Sadler +1
We report conclusive verification of the detection of associated HI 21 cm absorption in the early-type host galaxy of the compact radio source PMNJ2054-4242. We estimate an effecti…