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 * Home page
 * Getting Started
 * Tutorials
    * Getting data into LSDB
    * Filtering large catalogs
    * Joining catalogs
    * Exporting results
    * Topic: Import catalogs
    * Topic: Manual catalog verification
    * Topic: Accessing remote data
    * Topic: Margins
    * Topic: Performance testing
    * Science Notebook: Cross-match ZTF BTS and NGC
    * Science Notebook: Import and cross-match DES and Gaia

 * API Reference
    * lsdb
       * lsdb.catalog
          * lsdb.catalog.association_catalog
          * lsdb.catalog.catalog
          * lsdb.catalog.dataset
          * lsdb.catalog.margin_catalog
      
       * lsdb.core
          * lsdb.core.crossmatch
          * lsdb.core.plotting
          * lsdb.core.search
      
       * lsdb.dask
          * lsdb.dask.crossmatch_catalog_data
          * lsdb.dask.divisions
          * lsdb.dask.join_catalog_data
          * lsdb.dask.merge_catalog_functions
          * lsdb.dask.partition_indexer
      
       * lsdb.io
          * lsdb.io.schema
          * lsdb.io.to_hats
      
       * lsdb.loaders
          * lsdb.loaders.dataframe
          * lsdb.loaders.hats
      
       * lsdb.types

 * Contact us

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 * Contribution Guide

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 * .rst
 * .pdf

Light Dark System Settings


LSDB


CONTENTS

 * Using this Guide
 * Acknowledgements




LSDB#

LSDB (Large Survey DataBase) is a python framework that enables simple, fast
spatial analysis of extremely large astronomical catalogs (e.g. querying and
crossmatching O(1B) sources). It aims to address large-scale data processing
challenges, in particular those brought up by LSST.

Built on top of Dask to efficiently scale and parallelize operations across
multiple distributed workers, it uses the HATS data format to efficiently
perform spatial operations.

A possible HEALPix distribution for Gaia DR3.#


USING THIS GUIDE#

Getting Started

Installation and QuickStart Guide

Getting Started with LSDB
Tutorials

Learn the LSDB features by working through our guides

Tutorials
API Reference

The detailed API documentation

API Reference
Contribution Guide

For developers, learn more about contributing to this repository

Contributing to LSDB





ACKNOWLEDGEMENTS#

This project is supported by Schmidt Sciences.

This project is based upon work supported by the National Science Foundation
under Grant No. AST-2003196.

This project acknowledges support from the DIRAC Institute in the Department of
Astronomy at the University of Washington. The DIRAC Institute is supported
through generous gifts from the Charles and Lisa Simonyi Fund for Arts and
Sciences, and the Washington Research Foundation.

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Getting Started with LSDB

Contents
 * Using this Guide
 * Acknowledgements

By LINCC Frameworks

© Copyright 2024, LINCC Frameworks.