Light-curve fingerprints: an automated approach to the extraction of X-ray variability patterns with feature aggregation – an example application to GRS 1915+105

Time series data mining is an important field of research in the era of ‘Big Data’. Next generation astronomical surveys will generate data at unprecedented rates, creating the need for automated methods of data analysis. We propose a method of light-curve characterization that employs a pipeline consisting of a neural network with a long-short term memory variational autoencoder architecture and ...