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DMTN-065: Data Management for LSST Special Programs

Dataset ·
 [1];  [2];  [3];  [4];  [2];  [5];  [6];  [7];  [8];  [9];  [10];  [4];  [5]
  1. Dept. of Astronomy, University of Washington; Institute for Data-intensive Research in Astrophysics and Cosmology, University of Washington
  2. Department of Astrophysical Sciences, Princeton University
  3. Vera C. Rubin Observatory Project Office; Department of Physics, University of Wisconsin-Madison
  4. Dept. of Astronomy, University of Washington
  5. Vera C. Rubin Observatory Project Office
  6. Caltech/IPAC, California Institute of Technology
  7. Vera C. Rubin Observatory
  8. Institute for Data-intensive Research in Astrophysics and Cosmology, University of Washington
  9. SLAC National Accelerator Laboratory
  10. Kavli Institute for Particle Astrophysics and Cosmology, SLAC National Accelerator Laboratory
+ Show Author Affiliations

Special Programs are additional survey areas and/or observing strategies that are driven by specific science goals which build on, or are beyond, the core science pillars of the Wide Fast Deep Main Survey. In order to meet the requirements and enable science related to Special Programs, this document provides recommendations for Rubin Data Management regarding processing and serving data products for Special Programs. Hardware and processing boundaries on the potential diversity of data from Special Programs are discussed along with scenarios in which user-generated processing and data products might be needed to meet Special Programs' science goals.

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:
2997573
Report Number(s):
Vera C. Rubin Observatory Data Management Technical Note DMTN-065
Country of Publication:
United States
Language:
English

References (8)

A Deep and Wide Twilight Survey for Asteroids Interior to Earth and Venus journal September 2022
Science-Driven Optimization of the LSST Observing Strategy text January 2017
PSTN-055: Survey Cadence Optimization Committee's Phase 2 Recommendations dataset January 2023
LDM-151: Data Management Science Pipelines Design dataset January 2020
LSE-163: Data Products Definition Document dataset January 2023
LSE-61: Rubin Observatory Data Management System (DMS) Requirements dataset January 2024
LSE-319: LSST Science Platform Vision Document dataset January 2019
RTN-008: Rubin Observatory Processing of Gravitational Wave TOO Data in the Early Operations Era dataset January 2022

Cited By (3)

RTN-008: Rubin Observatory Processing of Gravitational Wave TOO Data in the Early Operations Era dataset January 2022
DMTN-118: Review of Timeseries Features dataset January 2021
LDM-612: Plans and Policies for LSST Alert Distribution dataset January 2020

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RTN-011: Rubin Observatory Plans for an Early Science Program
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Related Subjects

79 ASTRONOMY AND ASTROPHYSICS