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Found 10 papers, 1 papers with code
Preliminary Report on Mantis Shrimp: a Multi-Survey Computer Vision Photometric Redshift Model
We reason about the behavior of the CNNs from the interpretability metrics, specifically framing the result in terms of physically-grounded knowledge of galaxy properties.
Machine Learning and Cosmology
Methods based on machine learning have recently made substantial inroads in many corners of cosmology.
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.
Testing the Consistency of Dust Laws in SN Ia Host Galaxies: A BayeSN Examination of Foundation DR1
We train a new version of BayeSN, continuous from 0. 35--0. 95 $\mu$m, which we use to model the properties of SNe Ia in the rest-frame $z$-band, study the properties of dust in their host galaxies, and construct a Hubble diagram of SN Ia distances determined from full $griz$ light curves.
Astrophysics of Galaxies Cosmology and Nongalactic Astrophysics
Witnessing History: Rates and Detectability of Naked-Eye Milky-Way Supernovae
We then apply a flux limit and include dust effects, to predict the sky distribution of historical supernovae.
Solar and Stellar Astrophysics Astrophysics of Galaxies High Energy Astrophysical Phenomena
The ANTARES Astronomical Time-Domain Event Broker
We describe the Arizona-NOIRLab Temporal Analysis and Response to Events System (ANTARES), a software instrument designed to process large-scale streams of astronomical time-domain alerts.
Instrumentation and Methods for Astrophysics
GHOST: Using Only Host Galaxy Information to Accurately Associate and Distinguish Supernovae
We present GHOST, a database of 16, 175 spectroscopically classified supernovae and the properties of their host galaxies.
Dimensionality Reduction
Astrophysics of Galaxies
Cosmology and Nongalactic Astrophysics
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
