Data from: "Deep Generative Modeling of Periodic Variable Stars Using Physical Parameters"

<p>This dataset was used for the training of a conditioned Variational Autoencoder that generates physically informed light curves of periodic variable stars. The light curves correspond to data obtained from The Optical Gravitational Lensing Experiment (<a href="https://ui.adsabs.harvard.edu/abs/1992AcA....42..253U/abstract">OGLE</a>), while ancillary information was obtained from the Gaia Data Release 2 (<a href="https://ui.adsabs.harvard.edu/link_gateway/2016A&amp;A...595A...1G/doi:10.1051/0004-6361/201629272">GAIA DR2</a>). This repository contains the preprocessed OGLE light curves and the GAIA measurements corresponding to each cross-matched source. We also provided a subsample of cross-matched sources that were carefully validated following several steps described in the companion article (paper reference).</p> <p>This dataset is realized in tandem with the corresponding&nbsp;<a href="https://github.com/jorgemarpa/PELS-VAE">GitHub</a>&nbsp;and&nbsp;<a href="https://arxiv.org/abs/2005.07773">article</a>.</p> <p>&nbsp;</p> <p>&nbsp;</p>