PSTN-019: The LSST Science Pipelines Software: Optical Survey Pipeline Reduction and Analysis Environment

doi:10.71929/rubin/2570545

Title: PSTN-019: The LSST Science Pipelines Software: Optical Survey Pipeline Reduction and Analysis Environment

Dataset
Other Related Research

Abstract

The NSF-DOE Vera C. Rubin Observatory will produce the Legacy Survey of Space and Time (LSST), producing 11 data releases over the ten-year survey. The LSST Science Pipelines Software, the Optical Survey Pipeline Reduction and Analysis Environment (OSPRAE), will be used to create these data releases and to perform the nightly alert production. This paper provides an overview of the LSST Science Pipelines Software, describing the components and how they are combined to form pipelines

Publication Date:: Fri Jun 27 00:00:00 EDT 2025

Other Number(s):: Project Science Technical Note PSTN-019

DOE Contract Number:: AC02-76SF00515

Research Org.:: NSF-DOE Vera C. Rubin Observatory; U.S. National Science Foundation National Optical-Infrared Astronomy Research Laboratory; SLAC National Accelerator Laboratory

Sponsoring Org.:: U.S. National Science Foundation; U.S. Department of Energy Office of Science

Subject:: 79 ASTRONOMY AND ASTROPHYSICS

OSTI Identifier:: 2570545

DOI:: https://doi.org/10.71929/rubin/2570545

Citation Formats


                    PSTN-019: The LSST Science Pipelines Software: Optical Survey Pipeline Reduction and Analysis Environment.  United States: N. p., 2025. 
        Web.  doi:10.71929/rubin/2570545.

Copy to clipboard


                    PSTN-019: The LSST Science Pipelines Software: Optical Survey Pipeline Reduction and Analysis Environment.  United States.  doi:https://doi.org/10.71929/rubin/2570545

Copy to clipboard


                    2025.  
"PSTN-019: The LSST Science Pipelines Software: Optical Survey Pipeline Reduction and Analysis Environment".  United States.  doi:https://doi.org/10.71929/rubin/2570545.  https://www.osti.gov/servlets/purl/2570545. Pub date:Fri Jun 27 00:00:00 EDT 2025

Copy to clipboard


                    
@article{osti_2570545,

  title        = {PSTN-019: The LSST Science Pipelines Software: Optical Survey Pipeline Reduction and Analysis Environment},

  
  abstractNote = {The NSF-DOE Vera C. Rubin Observatory will produce the Legacy Survey of Space and Time (LSST), producing 11 data releases over the ten-year survey. The LSST Science Pipelines Software, the Optical Survey Pipeline Reduction and Analysis Environment (OSPRAE), will be used to create these data releases and to perform the nightly alert production. This paper provides an overview of the LSST Science Pipelines Software, describing the components and how they are combined to form pipelines},

  doi          = {10.71929/rubin/2570545},

  journal      = {},

  number       = ,

  volume       = ,

  place        = {United States},

  year         = {Fri Jun 27 00:00:00 EDT 2025},

  month        = {Fri Jun 27 00:00:00 EDT 2025}

}

Copy to clipboard

Dataset:

View Dataset

DOI: https://doi.org/10.71929/rubin/2570545

Save / Share:

Export Metadata

Save to My Library

Similar records in DOE Data Explorer and OSTI.GOV collections:

PSTN-051: Survey Strategy and Cadence Choices for the Vera C. Rubin Observatory Legacy Survey of Space and Time (LSST)

Dataset Jones, R. Lynne ; Yoachim, Peter ; Ivezić, Željko ; ...

A summary of survey strategy and cadence choices, simulated and evaluated by the Vera C. Rubin Observatory Legacy Survey of Space and Time (LSST) Scheduler Team, prepared for the Survey Cadence and Optimization Committee (SCOC). A large telescope survey, covering the entire visible sky repeatedly every few days in multiple bandpasses over the course of ten years, is the core idea of the LSST. An area of about 20,000 square degrees observed under a wide range of conditions to deep coadded limiting magnitudes in bandpasses ugrizy enables cosmological studies and studies of the Milky Way structure with unprecedented precision; themore »« less
PSTN-052: Survey Strategy: Rolling Cadence

Dataset Yoachim, Peter

We cover the basics of how a rolling cadence survey strategy can work, and review the results of a variety of rolling simulations. We find that Type Ia SNe recovery can be enhanced by using rolling cadence, while detecting fast microlensing events are dominated by footprint coverage.
PSTN-054: Updated estimates of the Rubin system throughput and expected LSST image depth

Dataset Bianco, Federica B. ; Jones, R. Lynne ; Ivezić, Željko ; ...

This document presents updated estimates, as of May 2022, of the Rubin system throughput and compares them to throughput requirements from the LSST Science Requirements Document. In addition, it uses these estimates to forecast LSST's median single-visit and co-added image depths for the current (OpSim v2.0) baseline LSST cadence simulation: (23.8, 24.5, 24.0, 23.4, 22.7, 22.0) and (25.6, 26.9, 26.9, 26.4, 25.6, 24.8) in ugrizy, respectively. In addition, it uses these estimates to forecast LSST’s median single-visit and co-added image depths for the current baseline LSST cadence simulation. Estimated system performance relies on actual measurements of the performance of variousmore »« less
DMTN-266: Astrometric Calibration in the LSST Pipeline

Dataset Saunders, Clare

We describe our procedure for fitting an astrometric solution in the LSST Data Release Production.
PSTN-053: Survey Cadence Optimization Committee's Phase 1 Recommendations

Dataset Rubin's Survey Cadence Optimization Committee ; Bauer, Franz E. ; Brough, Sarah ; ...

This document is authored by the Survey Cadence Optimization Committee (SCOC), guided by the community input, and it will serve as a roadmap for the concluding round of survey cadence simulations. These simulations, to be delivered during early calendar year 2022, will inform the phase 2 survey strategy recommendation which will define the baseline strategy for starting the Rubin Observatory's Legacy Survey of Space and Time (LSST). The phase 2 SCOC recommendation will be delivered to the Rubin Observatory Operations Director before the end of calendar year 2022.

Similar Records