collaborators

16 papers

astro-ph.IM2026

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…

astro-ph.IM2026

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…

astro-ph.IM2026

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…

astro-ph.EP2026

Multi-year Ground-Based Survey Photometry of Active Comet 103P/Hartley 2 and Centaur (2060) Chiron: A Tale of Two Comets in the Pre-LSST Era

Joseph Murtagh, Megan E. Schwamb, Michael S. P. Kelley +22

Comets and Centaurs trace the evolution of trans-Neptunian objects (TNOs) into the inner solar system. Their activity reflects the interplay between volatile sublimation, dust dyna…

astro-ph.IM2026

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…

astro-ph.IM2026

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…