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Found 6 papers, 5 papers with code
Tails: Chasing Comets with the Zwicky Transient Facility and Deep Learning
We present Tails, an open-source deep-learning framework for the identification and localization of comets in the image data of the Zwicky Transient Facility (ZTF), a robotic optical time-domain survey currently in operation at the Palomar Observatory in California, USA.
Real-bogus classification for the Zwicky Transient Facility using deep learning
Efficient automated detection of flux-transient, reoccurring flux-variable, and moving objects is increasingly important for large-scale astronomical surveys.
Instrumentation and Methods for Astrophysics
Opportunities in Time-Domain Extragalactic Astrophysics with the NASA Near-Earth Object Camera (NEOCam)
This White Pape motivates the time domain extragalactic science case for the NASA Near-Earth Object Camera (NEOCam).
Astrophysics of Galaxies
DeepStreaks: identifying fast-moving objects in the Zwicky Transient Facility data with deep learning
We present DeepStreaks, a convolutional-neural-network, deep-learning system designed to efficiently identify streaking fast-moving near-Earth objects that are detected in the data of the Zwicky Transient Facility (ZTF), a wide-field, time-domain survey using a dedicated 47 sq.
Instrumentation and Methods for Astrophysics Earth and Planetary Astrophysics
Feature Selection Strategies for Classifying High Dimensional Astronomical Data Sets
The amount of collected data in many scientific fields is increasing, all of them requiring a common task: extract knowledge from massive, multi parametric data sets, as rapidly and efficiently possible.
Using conditional entropy to identify periodicity
This paper presents a new period finding method based on conditional entropy that is both efficient and accurate.
Instrumentation and Methods for Astrophysics
