6 papers
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…
Leveraging Multimodality for Real-Time Classification of Transients and Variables found by the Zwicky Transient Facility
Ved G. Shah, Nabeel Rehemtulla, Adam A. Miller +13
Modern time-domain surveys such as the Zwicky Transient Facility (ZTF) generate hundreds of thousands of alerts each night, making real-time decisions for follow-up observations a…
BOOM and Babamul: a real-time, multi-survey, optical alert broker system operating at scale
Theophile Jegou du Laz, Michael W. Coughlin, Peter Bachant +17
With the arrival of ever higher throughput wide-field surveys and a multitude of multi-messenger and multi-wavelength instruments to complement them, software capable of harnessing…
The ZTF-ULTRASAT experiment: Characterizing the non-transients in ULTRASAT's high cadence survey
Daniel Warshofsky, Michael W. Coughlin, Theophile Jegou Du Laz +16
The forthcoming launch of the Ultraviolet Transient Astronomy Satellite (ULTRASAT) will transform our understanding of the transient ultraviolet sky by increasing our ability to id…
Discovery of SN 2025wny: a Strongly Gravitationally Lensed Superluminous Supernova at z = 2.01
Joel Johansson, Daniel A. Perley, Ariel Goobar +31
We present the discovery of SN 2025wny (ZTF25abnjznp/GOTO25gtq) and spectroscopic classification of this event as the first gravitationally lensed Type I superluminous supernovae (…
Estimates of Rotation Periods for Jupiter Trojans with the Zwicky Transient Facility Photometric Lightcurves
Zhuofu Li, Yasin A. Chowdhury, Željko IveziÄ +12
We present new rotational period estimates for 216 Jupiter Trojans using photometric data from the Zwicky Transient Facility (ZTF), including 80 Trojans with previously unknown per…