DP0.3 Tutorials#

These tutorials are for DP0 delegates using the Rubin Science Platform (RSP) deployed at the Interim Data Facility (IDF; the Google Cloud).

Before following these tutorials, delegates should have followed the getting started with DP0 checklist and be able to log in at data.lsst.cloud.

It is also important to review the list of risks and caveats for the DP0-era RSP, and to know the options for getting support.

All RSP tutorials are created by Rubin staff and adhere to the set of guidelines and best practices described in RTN-045, unless otherwise noted (e.g., the contributed tutorials).

Suggest a new tutorial topic.

Major Changes Log#

Portal tutorials#

Step-by-step demonstrations of how to use the DP0.3 data products in the Portal Aspect.

Notebook tutorials#

All Jupyter Notebook tutorials are kept in the tutorial-notebooks repository of the rubin-dp0 GitHub Organization.

The contents of the prod branch of that repository are made available (and automatically updated) in the folder notebooks/tutorial-notebooks which appears in all users’ home directories.

List of Notebook tutorials: See the repository’s README file for the most up-to-date list of available tutorials with descriptions.

Contributed tutorials#

Where do contributed tutorials go? In the shared GitHub repository delegate-contributions-dp03. Contributions are stored in sub-directories by topic; view the readme files in each sub-directory for more information about the contents and who contributed them.

Who can contribute a tutorial? Everyone is welcome to contribute tutorials or science demonstrations to this repo. All are welcome to drop in to a Rubin Science Assembly session during “office hour” drop-in weeks to workshop a tutorial topic or get assistance.

How are contributions made? The README file for this repo contains instructions and best practices for contributions. Rubin staff do not apply any quality control reviews to the contributed content in this repo.

What topics can be contributed? Any and all topics are welcome, so long as they can be covered by the DP0.3 data set. Here is a short list of potential science topics that DP0.3 could be useful for.

  • analysis of the comet population

  • identifying interstellar objects

  • searching for alien spacecraft (no really!)

  • identifying sub-populations of main-belt asteroids or TNOs

  • correlating astrometric/photometric uncertainties with the accuracy of derived properties