281 citations · 400 across the 8 of their papers we have counts for
5 papers · 1 filter
Euclid: A machine-learning search for dual and lensed AGN at sub-arcsec separations
L. Ulivi, F. Mannucci, M. Scialpi +189
Cosmological models of hierarchical structure formation predict the existence of a widespread population of dual accreting supermassive black holes (SMBHs) on kpc-scale separations…
Classifying galaxy spectra at 0.5<z<1 with self-organizing maps
S. Rahmani, H. Teimoorinia, P. Barmby
The spectrum of a galaxy contains information about its physical properties. Classifying spectra using templates helps elucidate the nature of a galaxy's energy sources. In this pa…
The infra-red luminosities of ~332,000 SDSS galaxies predicted from artificial neural networks and the Herschel Stripe 82 survey
Sara L. Ellison, Hossein Teimoorinia, David J. Rosario +1
The total infra-red (IR) luminosity (L_IR) can be used as a robust measure of a galaxy's star formation rate (SFR), even in the presence of an active galactic nucleus (AGN), or whe…
Why do galaxies stop forming stars? I. The passive fraction - black hole mass relation for central galaxies
Asa F. L. Bluck, Sara L. Ellison, David R. Patton +5
We derive the dependence of the fraction of passive central galaxies on the mass of their supermassive black holes for a sample of over 400,000 SDSS galaxies at z < 0.2. Our large…
Artificial neural network based calibrations for the prediction of galactic [NII] 6584 and H line luminosities
Hossein Teimoorinia, Sara L. Ellison
The artificial neural network (ANN) is a well-established mathematical technique for data prediction, based on the identification of correlations and pattern recognition in input t…