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The Vera C. Rubin Observatory Prompt Processing System

Krzysztof Findeisen, Kian-Tat Lim, Dan Speck, Hsin-Fang Chiang, Erin Leigh Howard, Ian S. Sullivan, 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.

The Vera C. Rubin Observatory Prompt Processing System

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.
Paper Structure (6 sections, 1 figure)

This paper contains 6 sections, 1 figure.

Table of Contents

  1. Introduction
  2. Prompt Processing Design
  3. Key Components
  4. Workflow
  5. Commissioning Results
  6. Ongoing Work

Figures (1)

  • Figure 1: Data flow diagram for the Prompt Processing system, showing interaction with nextVisit messages and other Rubin Observatory systems.