Abstract
A collection of tutorials -- both Jupyter notebooks and documentation-based --- demonstrating data access, analysis, and visualization techniques for the Vera C. Rubin Observatory Legacy Survey of Space and Time (LSST). These tutorials are intended for astronomers, educators, and data scientists working with LSST data products.
- Developers:
- Release Date:
- 2021-07-29
- Project Type:
- Open Source, Publicly Available Repository
- Software Type:
- Scientific
- Programming Languages:
-
Python
- Licenses:
-
Apache License 2.0
- Sponsoring Org.:
-
U.S. National Science FoundationPrimary Award/Contract Number:NSF Cooperative Support Agreement AST-1202910U.S. National Science FoundationPrimary Award/Contract Number:NSF Cooperative Agreement AST-2241526U.S. National Science FoundationPrimary Award/Contract Number:NSF Cooperative Agreement AST-1258333U.S. National Science FoundationPrimary Award/Contract Number:NSF Cooperative Support Agreement AST-1836783U.S. National Science FoundationPrimary Award/Contract Number:NSF Cooperative Support Agreement AST-2211468USDOE Office of Science (SC), High Energy Physics (HEP)Primary Award/Contract Number:AC02-76SF00515
- Code ID:
- 162015
- Research Org.:
- National Optical-Infrared Astronomy Research Laboratory (NOIRLab)SLAC National Accelerator Laboratory (SLAC), Menlo Park, CA (United States)NSF-DOE Vera C. Rubin Observatory
- Country of Origin:
- United States
Citation Formats
Vera C. Rubin Observatory, NSF-DOE.
Rubin Observatory LSST Tutorials.
Computer Software.
https://github.com/lsst/tutorial-notebooks.
U.S. National Science Foundation, U.S. National Science Foundation, U.S. National Science Foundation, U.S. National Science Foundation, U.S. National Science Foundation, USDOE Office of Science (SC), High Energy Physics (HEP).
29 Jul. 2021.
Web.
doi:10.11578/rubin/dc.20250909.20.
Vera C. Rubin Observatory, NSF-DOE.
(2021, July 29).
Rubin Observatory LSST Tutorials.
[Computer software].
https://github.com/lsst/tutorial-notebooks.
https://doi.org/10.11578/rubin/dc.20250909.20.
Vera C. Rubin Observatory, NSF-DOE.
"Rubin Observatory LSST Tutorials." Computer software.
July 29, 2021.
https://github.com/lsst/tutorial-notebooks.
https://doi.org/10.11578/rubin/dc.20250909.20.
@misc{
doecode_162015,
title = {Rubin Observatory LSST Tutorials},
author = {Vera C. Rubin Observatory, NSF-DOE},
abstractNote = {A collection of tutorials -- both Jupyter notebooks and documentation-based --- demonstrating data access, analysis, and visualization techniques for the Vera C. Rubin Observatory Legacy Survey of Space and Time (LSST). These tutorials are intended for astronomers, educators, and data scientists working with LSST data products.},
doi = {10.11578/rubin/dc.20250909.20},
url = {https://doi.org/10.11578/rubin/dc.20250909.20},
howpublished = {[Computer Software] \url{https://doi.org/10.11578/rubin/dc.20250909.20}},
year = {2021},
month = {jul}
}