850 citations · 6.8k across the 104 of their papers we have counts for
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Catching Disguised Transients with ASTRANet: Anomaly-Aware Spectroscopic Classification and Conformal Calibration
Argyro Sasli, Maojie Xu, Alexandra Junell +21
Time-domain surveys discover thousands of transients per year, but the spectroscopic identification of rare and physically peculiar objects remains rate-limited by closed-set class…
Pre-training vision models for the classification of alerts from wide-field time-domain surveys
Nabeel Rehemtulla, Adam A. Miller, Mike Walmsley +15
Modern wide-field time-domain surveys facilitate the study of transient, variable and moving phenomena by conducting image differencing and relaying alerts to their communities. Ma…
AppleCiDEr. II. SpectraNet: A Spectroscopic Neural Network Classifier for Transients Demonstrated on ZTF Follow-up Data
Maojie Xu, Argyro Sasli, Alexandra Junell +21
Time-domain surveys such as the Zwicky Transient Facility have opened a new frontier in the discovery and characterization of transients. While photometric light curves provide bro…
The Zwicky Transient Facility Bright Transient Survey. III. : Automated Identification and Follow-up of Bright Transients with Deep Learning
Nabeel Rehemtulla, Adam A. Miller, Theophile Jegou Du Laz +10
The Bright Transient Survey (BTS) aims to obtain a classification spectrum for all bright (mag) extragalactic transients found in the Zwicky Transien…
SNGuess: A method for the selection of young extragalactic transients
N. Miranda, J. C. Freytag, J. Nordin +7
With a rapidly rising number of transients detected in astronomy, classification methods based on machine learning are increasingly being employed. Their goals are typically to obt…
Autonomous real-time science-driven follow-up of survey transients
Niharika Sravan, Matthew J. Graham, Christoffer Fremling +1
Astronomical surveys continue to provide unprecedented insights into the time-variable Universe and will remain the source of groundbreaking discoveries for years to come. However,…
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…
Simultaneous observations of the northern TESS sectors by the Zwicky Transient Facility
Jan van Roestel, Eric C. Bellm, Dmitry A. Duev +9
The Zwicky Transient Facility (ZTF) is conducting a nightly public survey of all 13 TESS northern sectors in 2019-2020. ZTF will observe the portions of the current TESS sectors vi…
The Zwicky Transient Facility: Science Objectives
Matthew J. Graham, S. R. Kulkarni, Eric C. Bellm +114
The Zwicky Transient Facility (ZTF), a public-private enterprise, is a new time domain survey employing a dedicated camera on the Palomar 48-inch Schmidt telescope with a 47 deg$^2…
The SED Machine: a robotic spectrograph for fast transient classification
Nadejda Blagorodnova, James D. Neill, Richard Walters +13
Current time domain facilities are finding several hundreds of transient astronomical events a year. The discovery rate is expected to increase in the future as soon as new surveys…