2.1k citations · 11.1k across the 66 of their papers we have counts for
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New Modules for the SEDMachine to Remove Contaminations from Cosmic Rays and Non-target Light: BYECR and CONTSEP
Y. -L. Kim, M. Rigault, J. D. Neill +9
Currently time-domain astronomy can scan the entire sky on a daily basis, discovering thousands of interesting transients every night. Classifying the ever-increasing number of new…
SNIascore: Deep Learning Classification of Low-Resolution Supernova Spectra
Christoffer Fremling, Xander J. Hall, Michael W. Coughlin +18
We present SNIascore, a deep-learning based method for spectroscopic classification of thermonuclear supernovae (SNe Ia) based on very low-resolution (R ) data. The goal o…
The ZTF Source Classification Project: I. Methods and Infrastructure
Jan van Roestel, Dmitry A. Duev, Ashish A. Mahabal +18
The Zwicky Transient Facility (ZTF) has been observing the entire northern sky since the start of 2018 down to a magnitude of 20.5 ( for 30s exposure) in , , and fil…
The Zwicky Transient Facility: Observing System
Richard Dekany, Roger M. Smith, Reed Riddle +23
The Zwicky Transient Facility (ZTF) Observing System (OS) is the data collector for the ZTF project to study astrophysical phenomena in the time domain. ZTF OS is based upon the 48…
Real-bogus classification for the Zwicky Transient Facility using deep learning
Dmitry A. Duev, Ashish Mahabal, Frank J. Masci +8
Efficient automated detection of flux-transient, reoccurring flux-variable, and moving objects is increasingly important for large-scale astronomical surveys. We present braai, a c…
The Zwicky Transient Facility: Surveys and Scheduler
Eric C. Bellm, Shrinivas R. Kulkarni, Tom Barlow +11
We present a novel algorithm for scheduling the observations of time-domain imaging surveys. Our Integer Linear Programming approach optimizes an observing plan for an entire night…