13 papers
Photometric classification and out-of-taxonomy detection of ZTF transients with FLARE
Argyro Sasli, Felipe Fontinele Nunes, Xuanrui Zhang +17
Photometric classifiers decide which of the million nightly alerts of time-domain surveys receive one of the few thousand spectra taken each year, and they are the first place wher…
Modeling Multi-band Active Galactic Nuclei Lightcurves Using an Self-supervised Attentive Neural Process Network
Tzuken Shen, Chengcheng Xin, Joshua Fagin +3
With the the Legacy Survey of Space and Time (LSST), observations of tens of millions of quasars are expected. We present a machine-learning framework based on an attentive neural…
Stellar flare detection and characterization in ZTF High-cadence light curves
Aratrika Ghosh, Shravan Hanasoge, Matthew J. Graham +1
Stellar flares are brief, intense increases in brightness resulting from magnetic reconnection events in stellar atmospheres. In this paper, we have developed a pipeline to detect…
Probing Millisecond Optical Timescales with Continuous-Readout Mode Observations from ZTF
Shar Daniels, Federica Bianco, Igor Andreoni +6
The subminute-timescale phase space is an underexplored regime of the optical sky. Sub-second optical observations are difficult to accomplish with traditional CCD exposure-readout…
Classifying Quasar Types Without a Spectrum
Adrien Hélias, Pauline Barmby, Sarah C. Gallagher +2
Distinguishing between Type 1 and Type 2 quasars is important because it helps us understand accretion regimes, black hole mass scaling, disk instabilities and feedback processes i…
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…
AstroAlertBench: Evaluating the Accuracy, Reasoning, and Honesty of Multimodal LLMs in Astronomical Classification
Claire Chen, Jiabao Sean Xiao, Shuze Daniel Liu +7
Modern astronomical observatories generate a massive volume of multimodal data, creating a critical bottleneck for expert human review. While multimodal large language models (LLMs…
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…
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…
Applying multimodal learning to Classify transient Detections Early (AppleCiDEr) I: Data set, methods, and infrastructure
Alexandra Junell, Argyro Sasli, Felipe Fontinele Nunes +18
Modern time-domain surveys like the Zwicky Transient Facility (ZTF) and the Legacy Survey of Space and Time (LSST) generate hundreds of thousands to millions of alerts, demanding a…
Building Machine Learning Challenges for Anomaly Detection in Science
Elizabeth G. Campolongo, Yuan-Tang Chou, Ekaterina Govorkova +148
Scientific discoveries are often made by finding a pattern or object that was not predicted by the known rules of science. Oftentimes, these anomalous events or objects that do not…