Tutorials¶
DESI provides a number of Jupyter notebook tutorials available at github.com/desihub/tutorials. They provide an informative introduction to key concepts for anyone interested in exploring DESI data.
Getting Started¶
Note: For detailed instructions on setting up your environment to run these tutorials, see these instructions, which covers both local machine setup and NERSC-based options.
These tutorials can be run either at NERSC or on your local machine by downloading a subset of DESI data.
The 01_getting_started folder within the tutorial repository contains the following Data Release 1 (DR1) tutorials:
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01_QuickStart - A rapid overview of DESI Data Release 1 without requiring DESI-specific code. This tutorial provides basic information to start working with DESI data immediately.
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02_CoreConcepts - An introduction to core concepts for working with DESI data. Covers surveys, programs, tiles, hardware components, and best practices.
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03_DataOrganization - A comprehensive guide to DESI’s data file structure and organization. Explores directory structures, redshift catalogs, and spectra organization by tile and healpix.
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04_RedshiftCatalogs - A detailed exploration of DESI redshift catalogs and how to use them. Covers selection techniques, quality cuts, and target classifications.
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05_Spectra - An in-depth tutorial on working with DESI spectroscopic data. Covers data formats, manipulation techniques, and optimization methods.
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06_PublicDatabaseAccess - A practical guide to accessing DESI data through public databases. Demonstrates querying DESI catalogs and retrieving full-depth spectra using Astro Data Lab and SPARCL tools.
For instructions on reproducing figures from DESI Collaboration papers:
Tutorials for the Early Data Release (EDR) can be found here.