105 citations · 384 across the 35 of their papers we have counts for
27 papers · 1 filter
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…
AstroGenesis: A Domain-Specific Multi-Agent AI for Astrophysical Research
N. Sahakyan, M. Khachatryan, A. Mahabal +13
Modern astrophysical research requires the integration of rapidly expanding scientific literature, heterogeneous observational data, and increasingly complex physical models. We in…
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…
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…
How to Craft the Right Language AI Policy For Your Research Group (Some Assembly Required)
Michelle Ntampaka, S. Burke-Spolaor, Ioana Ciucă +14
Language AI is rapidly becoming part of the astronomy research ecosystem, prompting research teams to develop policies governing its use. But resources and advice for AI adoption a…
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…
Toward decision-aware AI for LSST-scale time-domain astronomy
C. R. Bom, A. Mahabal, F. Bianco +27
The Vera C. Rubin Observatory's Legacy Survey of Space and Time (LSST) will generate approximately (10^7) alerts per night, pushing time-domain astronomy beyond pipelines that trea…
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…
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…
In Search of the Unknown Unknowns: A Multi-Metric Distance Ensemble for Out of Distribution Anomaly Detection in Astronomical Surveys
Siddharth Chaini, Federica B. Bianco, Ashish Mahabal
Distance-based methods involve the computation of distance values between features and are a well-established paradigm in machine learning. In anomaly detection, anomalies are iden…
A Machine Learning empowered search for Sub-Minute Optical Transient Events with the Deeper, Wider, Faster programme
Simon R. Goode, Sara A. Webb, Jeff Cooke +12
Optical transient surveys continue to generate increasingly large datasets, prompting the introduction of machine-learning algorithms to search for quality transient candidates eff…
GWSkyNet-Multi II: an updated machine learning model for rapid classification of gravitational-wave events
Nayyer Raza, Man Leong Chan, Daryl Haggard +5
Multi-messenger observations of gravitational waves and electromagnetic emission from compact object mergers offer unique insights into the structure of neutron stars, the formatio…
GWSkyNet II : a refined machine learning pipeline for real-time classification of public gravitational wave alerts
Man Leong Chan, Jess McIver, Ashish Mahabal +12
Electromagnetic follow-up observations of gravitational wave events offer critical insights and provide significant scientific gain from this new class of astrophysical transients.…
Light Curve Classification with DistClassiPy: a new distance-based classifier
Siddharth Chaini, Ashish Mahabal, Ajit Kembhavi +1
The rise of synoptic sky surveys has ushered in an era of big data in time-domain astronomy, making data science and machine learning essential tools for studying celestial objects…
Regional and Global Collaborations in Astronomy
Kazuhiro Sekiguchi, Jess McIver, Annapurni Subramaniam +10
Policy Brief on "Regional and Global Collaborations in Astronomy", distilled from the corresponding panel that was part of the discussions during S20 Policy Webinar on Astroinforma…
Large Projects in Astronomy: An Indian Endeavour
Yogesh Wadadekar, Shriharsh Tendulkar, Sanjit Mitra +6
Policy Brief on "Large Projects in Astronomy: An Indian Endeavour", distilled from the corresponding panel that was part of the discussions during S20 Policy Webinar on Astroinform…
Workforce Development in Astronomy and Astroinformatics
Kartik Sheth, Kevin Govender, Vanessa McBride +8
Policy Brief on "Workforce Development in Astronomy and Astroinformatics", distilled from the corresponding panel that was part of the discussions during S20 Policy Webinar on Astr…
Latest Developments and Opportunities in Sky Survey
Anthony Brown, Federica Bianco, Varun Bhalerao +5
Policy Brief on "Latest Developments and Opportunities in Sky Survey", distilled from the corresponding panel that was part of the discussions during S20 Policy Webinar on Astroinf…
Long Term Space Data and Informatics Needs
S. Bradley Cenko, Richard Doyle, Daniel Crichton +5
Policy Brief on "Long Term Space Data and Informatics Needs", distilled from the corresponding panel that was part of the discussions during S20 Policy Webinar on Astroinformatics…
Global Data in Astronomy: Challenges and Opportunities
Renee Hložek, Chenzhou Cui, Mark Allen +7
Policy Brief on "Global Data in Astronomy: Challenges and Opportunities", distilled from the corresponding panel that was part of the discussions during S20 Policy Webinar on Astro…
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…
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…
Alert Classification for the ALeRCE Broker System: The Real-time Stamp Classifier
Rodrigo Carrasco-Davis, Esteban Reyes, Camilo Valenzuela +20
We present a real-time stamp classifier of astronomical events for the ALeRCE (Automatic Learning for the Rapid Classification of Events) broker. The classifier is based on a convo…
The Photometric LSST Astronomical Time-series Classification Challenge (PLAsTiCC): Selection of a performance metric for classification probabilities balancing diverse science goals
A. I. Malz, R. Hložek, T. Allam +22
Classification of transient and variable light curves is an essential step in using astronomical observations to develop an understanding of their underlying physical processes. Ho…