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DMTN-260: Failure Modes and Error Handling for Prompt Processing

Dataset ·
 [1];  [2];  [1];  [2];  [1]
  1. Dept. of Astronomy, University of Washington
  2. SLAC National Accelerator Laboratory
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The Prompt Processing system will be responsible for processing roughly a thousand visits per night, and distributing the results in near real time, for at least ten years of Rubin Observatory operations. As such, it must be highly robust to algorithmic, network, and infrastructure failures, ranging from momentary glitches to extended downtimes. DMTN-219 introduced the initial design for the Prompt Processing framework; this document expands on the design to address expected failure modes and recovery strategies for each.

Research Organization:
NSF-DOE Vera C. Rubin Observatory
Sponsoring Organization:
U.S. National Science Foundation; U.S. Department of Energy Office of Science
DOE Contract Number:
AC02-76SF00515
OSTI ID:
2998133
Report Number(s):
Vera C. Rubin Observatory Data Management Technical Note DMTN-260
Country of Publication:
United States
Language:
English

References (8)

LSST: From Science Drivers to Reference Design and Anticipated Data Products journal March 2019
LSST Commissioning Camera dataset January 2024
PSTN-019: The LSST Science Pipelines Software: Optical Survey Pipeline Reduction and Analysis Environment dataset January 2025
The LSST Camera (LSSTCam) instrument January 2025
LSST Atmospheric Transmission Imager and Slitless Spectrograph (LATISS) instrument January 2020
DMTN-219: Proposal and Prototype for Prompt Processing dataset January 2023
DMTN-293: Current status of APDB and PPDB implementation dataset January 2024
LSE-163: Data Products Definition Document dataset January 2023

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Related Subjects

79 ASTRONOMY AND ASTROPHYSICS