Work

The automation of optical transient discovery and classification in Rubin-era time-domain astronomy

Year: 2025

Type: article

Source: Nature Astronomy

DOI: 10.1038/s41550-025-02720-6

Authors: Nabeel Rehemtulla, Michael W. Coughlin, Adam A. Miller, Theophile Jegou du Laz

Institutions: Northwestern University, NSF-Simons AI Institute for the Sky, University of Minnesota, California Institute of Technology

Language: English

Topic: Gamma-ray bursts and supernovae

Subfield: Astronomy and Astrophysics

Field: Physics and Astronomy

Domain: Physical Sciences

Open Access status: green

Funders: National Science Foundation, U.S. Department of Energy, Lawrence Berkeley National Laboratory

Awards: Extending the Teach of Gravitational-Wave Detectors through Low Latency Data Products, Unmodeled Searches, and Detector Characterization, NSF-Simons AI Institute for the Sky (SkAI Institute), G3708225304, HDR Institute: Accelerated AI Algorithms for Data-Driven Discovery, G7672380949

OpenAlex ID: W4417112944

FWCI: 1.791

Cites: 72

Cited by: 4

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