The Vera C. Rubin Observatory Prompt Processing System

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Authors

K. Findeisen · University of Washington

K. J. LIM · SLAC National Accelerator Laboratory

Dan Speck · Burwood Hospital

Hsin-Fang Chiang · SLAC National Accelerator Laboratory

Erin L. Howard · University of Washington

Ian Sullivan · University of Washington

Eric C. Bellm ·

Abstract

Vera C. Rubin Observatory's Prompt Processing system will automatically process 10 TB of raw images to produce up to 10 million transient alerts per night. We summarize how Prompt Processing meets its throughput, latency, and reliability requirements and present results from Rubin Observatory Commissioning.

Topics & Keywords

Astrophysics and Cosmic Phenomena Astronomy and Astrophysical Research Gamma-ray bursts and supernovae

Publication Details

Published in: arXiv (Cornell University)

DOI: 10.48550/arxiv.2603.19541

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The Vera C. Rubin Observatory Prompt Processing System

Authors

Abstract

Topics & Keywords

Publication Details