The LSST Science Pipelines

The LSST Science Pipelines enable optical and near-infrared astronomy in the big data era. We are building the Science Pipelines for the Large Synoptic Survey Telescope (LSST), but our command line task and Python API can be extended for any optical or near-infrared dataset.

The latest release is 13.0: learn what’s new.

Getting started

If you’re new to the LSST Science Pipelines, these tutorials will get you up and running with step-by-step installation and processing tutorials.

• Installation tutorial
• Data processing tutorial: Part 1 Data repositories · Part 2 Single frame processing · Part 3 Image and catalog display · Part 4 Image coaddition · Part 5 Source measurement.

Join us on the LSST Community forum to get help and share ideas.

Installation

• Overview of installation methods
• Prerequisites
• Configuring Git LFS for data packages
• Installing with newinstall.sh (recommended)
• Installing from source with lsstsw (for developers)

Release details

• Release Notes
• Known Issues
• Characterization Metric Report

Links

• Contribute to this guide on GitHub at lsst/pipelines_lsst_io.
• Fork our code on GitHub at https://github.com/lsst.
• API documentation is currently published with Doxygen.
• DM Developer guidance is at https://developer.lsst.io.
• Learn more about LSST Data Management by visiting http://dm.lsst.org.