Organizing the Extremely Large LSST Database forReal-Time Astronomical Processing

Conference · Wed Nov 07 04:00:00 EST 2007

OSTI ID:919415

Becla, Jacek; Lim, Kian-Tat; Monkewitz, Serge; Nieto-Santisteban, Maria; Thakar, Ani

The Large Synoptic Survey Telescope (LSST) will catalog billions of astronomical objects and trillions of sources, all of which will be stored and managed by a database management system. One of the main challenges is real-time alert generation. To generate alerts, up to 100K new difference detections have to be cross-correlated with the huge historical catalogs, and then further processed to prune false alerts. This paper explains the challenges, the implementation of the LSST Association Pipeline and the database organization strategies we are planning to use to meet the real-time requirements, including data partitioning, parallelization, and pre-loading.

• Research Organization: Stanford Linear Accelerator Center (SLAC)
• Sponsoring Organization: USDOE
• DOE Contract Number: AC02-76SF00515
• OSTI ID: 919415
• Report Number(s): SLAC-PUB-12962
• Country of Publication: United States
• Language: English

Related Subjects

79 ASTRONOMY AND ASTROPHYSICS
99 GENERAL AND MISCELLANEOUS
ASTROPHYSICS
Astrophysics
ASTRO
DATA ANALYSIS
DATA BASE MANAGEMENT
DATA PROCESSING
ORGANIZING
REAL TIME SYSTEMS
TELESCOPES