Guides for scientists
Learn how to use the Science Pipelines and Science Platform with these guides.
Data Preview 0.2
DP0.2 is the second phase of the Data Preview 0 program using precursor data (simulated images from the DESC DC2 data challenge) hosted on the Rubin Science Platform.
- Source repository
- lsst/dp0-2_lsst_io
LSST Science Pipelines
The LSST Science Pipelines are designed to enable optical and near-infrared astronomy in the “big data” era. While they are being developed to process the data for the Rubin Observatory Legacy Survey of Space and Time (Rubin’s LSST), our command line and programming interfaces can be extended to address any optical or near-infrared dataset.
- Source repository
- lsst/pipelines_lsst_io
Rubin Science Platform Notebook Aspect User Guide
The Notebook Aspect enables you to do your science at the LSST Data Facility, with the LSST Science Pipelines, a full suite of development tools, and your own Python code. The Notebook Aspect is powered by the JupyterLab project.
- Source repository
- lsst-dm/nb_lsst_io
astro_metadata_translator
The astro_metadata_translator package provides generalized infrastructure for handling metadata extraction for astronomical instrumentation.
- Source repository
- lsst/astro_metadata_translator
lsst.display.firefly
lsst.display.firefly is a backend for the lsst.afw.display interface, allowing the Firefly visualization framework to be used for displaying data objects from the LSST Science Pipelines.
- Source repository
- lsst/display_firefly