Spatial analysis for extremely large astronomical catalogs using dask
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LSDB
LSDB
LSDB is a python tool for scalable analysis of large catalogs (i.e. querying and crossmatching ~10⁹ sources). This package uses dask to parallelize operations across multiple HATS partitioned surveys.
Check out our ReadTheDocs site for more information on partitioning, installation, and contributing.
See related projects:
- HATS (on GitHub) (on ReadTheDocs)
- HATS Import (on GitHub) (on ReadTheDocs)
Contributing
See the contribution guide for complete installation instructions and contribution best practices.
Citation
If you use LSDB in your work, we ask the you cite the conference proceedings "Using LSDB to enable large-scale catalog distribution, cross-matching, and analytics". Find full citation information here.
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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