Tutorials for SDSS DR19

This repo contains Jupyter Notebooks showing how to access various SDSS data products.

If you encounter any issues, e.g., you're on a brand new operating system, feel free to file an issue.

These Jupyter Notebook tutorials can be run remotely on SciServer Compute, with direct access to a file system hosting the DR 19 data volume. If you prefer, you can also download DR 19 files from https://data.sdss.org/sas/dr19/ and run these notebooks locally in your own computer.

In SciServer Compute, you will need to:

• Choose the SDSS Docker image. This image contains the sdss_access python package, as well as astropy, astroquery, specutils and other useful libraries.

• Include the SDSS SAS data volume. It will be mounted in the Jupyter session under /home/idies/workspace/sdss_sas/.

• Once in a notebook, make sure the py39 python kernel is selected.