100 citations · 390 across the 21 of their papers we have counts for
4 papers · 1 filter
Deep-Learnt Classification of Light Curves
Ashish Mahabal, Kshiteej Sheth, Fabian Gieseke +5
Astronomy light curves are sparse, gappy, and heteroscedastic. As a result standard time series methods regularly used for financial and similar datasets are of little help and ast…
Convolutional Neural Networks for Transient Candidate Vetting in Large-Scale Surveys
Fabian Gieseke, Steven Bloemen, Cas van den Bogaard +9
Current synoptic sky surveys monitor large areas of the sky to find variable and transient astronomical sources. As the number of detections per night at a single telescope easily…
Big Universe, Big Data: Machine Learning and Image Analysis for Astronomy
Jan Kremer, Kristoffer Stensbo-Smidt, Fabian Gieseke +2
Astrophysics and cosmology are rich with data. The advent of wide-area digital cameras on large aperture telescopes has led to ever more ambitious surveys of the sky. Data volumes…
A probabilistic approach to emission-line galaxy classification
R. S. de Souza, M. L. L. Dantas, M. V. Costa-Duarte +7
We invoke a Gaussian mixture model (GMM) to jointly analyse two traditional emission-line classification schemes of galaxy ionization sources: the Baldwin-Phillips-Terlevich (BPT)…