45 citations · 89 across the 5 of their papers we have counts for
8 papers
How to set up your first machine learning project in astronomy
Johannes Buchner, Sotiria Fotopoulou
Large, freely available, well-maintained data sets have made astronomy a popular playground for machine learning projects. Nevertheless, robust insights gained to both machine lear…
A review of unsupervised learning in astronomy
Sotiria Fotopoulou
This review summarizes popular unsupervised learning methods, and gives an overview of their past, current, and future uses in astronomy. Unsupervised learning aims to organise the…
Efficient Analysis Routines for Single and Double Peaked Type 2 AGN Spectra
Matthew Selwood, Giorgio Calderone, Sotiria Fotopoulou +1
Driven by the imminent need to rapidly process and classify millions of AGN spectra drawn from next generation astronomical facilities, we present a spectral fitting routine for Ty…
Detecting neutral hydrogen at z > 3 in large spectroscopic surveys of quasars
Michele Fumagalli, Sotiria Fotopoulou, Laura Thomson
We present a pipeline based on a random forest classifier for the identification of high column-density clouds of neutral hydrogen (i.e. the Lyman limit systems, LLSs) in absorptio…
The survey: XL. Obscuration properties of red AGN in
V. A. Masoura, I. Georgantopoulos, G. Mountrichas +6
The combination of optical and mid-infrared (MIR) photometry has been extensively used to select red active galactic nuclei (AGNs). Our aim is to explore the obscuration properties…
4MOST Consortium Survey 6: Active Galactic Nuclei
A. Merloni, D. A. Alexander, M. Banerji +17
X-ray and mid-infrared emission are signposts of the accretion of matter onto the supermassive black holes that reside at the centres of most galaxies. As a major step towards unde…