Logo
  • Installation
  • Quickstart

User guide

  • User guide
  • Concepts
  • Catalogs and the registry
  • Writing queries
  • Working with results
  • Sessions and materialize()
  • Downloading catalogs
  • Margin caches
  • Performance
  • MOC footprints
  • Tutorials
    • Tutorials
    • Your first crossmatch
    • An interactive EDA session
    • Building a pipeline
  • Cookbook
  • Reference
    • Reference
    • SQL features
    • CLI
    • Python API
    • Errors
    • Glossary
  • Troubleshooting
Astronomical Catalog Inference Driver
  • User guide
  • Tutorials
  • Your first crossmatch

Your first crossmatch¶

Stub. This notebook is part of the documentation scaffold. The final version will walk through a real Gaia DR3 × 2MASS crossmatch over a small sky region, with plots.

Planned flow:

  1. Download a small Gaia DR3 and 2MASS subset over a ~2 deg cone using acid download --cone.
  2. Register them with acid.connect("./data/") and inspect the schemas with s.list_catalogs().
  3. Run a nearest-neighbor crossmatch at 1″, look at the distance distribution, and plot a (J vs G) color-magnitude diagram with matplotlib.
  4. Swap in mode => 'all' and LEFT JOIN to see what changes.
  5. Save the result with r.write_parquet(...) and acid.run(..., output=...).

See the Quickstart for the commands that get you to step 1 today.

Previous Next

Built with MkDocs using a theme provided by Read the Docs.
mjuric/acid « Previous Next »