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Found 8 papers, 4 papers with code
A Classifier-Based Approach to Multi-Class Anomaly Detection for Astronomical Transients
In this work, we introduce an alternative approach to detecting anomalies: using the penultimate layer of a neural network classifier as the latent space for anomaly detection.
Predicting the Age of Astronomical Transients from Real-Time Multivariate Time Series
Astronomical transients, such as supernovae and other rare stellar explosions, have been instrumental in some of the most significant discoveries in astronomy.
Identifying Exoplanets with Deep Learning. V. Improved Light Curve Classification for TESS Full Frame Image Observations
Since 90% of our training data is from the Primary Mission, we also test our ability to generalize on held-out 1st Extended Mission data.
Real-time Detection of Anomalies in Multivariate Time Series of Astronomical Data
Astronomical transients are stellar objects that become temporarily brighter on various timescales and have led to some of the most significant discoveries in cosmology and astronomy.
Real-Time Detection of Anomalies in Large-Scale Transient Surveys
We demonstrate our methods' ability to provide anomaly scores as a function of time on light curves from the Zwicky Transient Facility.
Unsupervised machine learning for transient discovery in Deeper, Wider, Faster light curves
We present an unsupervised method for transient discovery using a clustering technique and the Astronomaly package.
Instrumentation and Methods for Astrophysics
RAPID: Early Classification of Explosive Transients using Deep Learning
We present RAPID (Real-time Automated Photometric IDentification), a novel time-series classification tool capable of automatically identifying transients from within a day of the initial alert, to the full lifetime of a light curve.
The Photometric LSST Astronomical Time-series Classification Challenge (PLAsTiCC): Data set
The Photometric LSST Astronomical Time Series Classification Challenge (PLAsTiCC) is an open data challenge to classify simulated astronomical time-series data in preparation for observations from the Large Synoptic Survey Telescope (LSST), which will achieve first light in 2019 and commence its 10-year main survey in 2022.
Instrumentation and Methods for Astrophysics Solar and Stellar Astrophysics
