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# UniverseMachine Data Release 1


Preferred citation:  
  Behroozi, Peter; Wechsler, Risa H; Hearin, Andrew P; Conroy, Charlie (2019).
  UniverseMachine: The correlation between galaxy growth and dark matter halo assembly from z=0−10.
  Monthly Notices of the Royal Astronomical Society, Volume 488, Issue 3, 3143-3194
  https://doi.org/10.1093/mnras/stz1182


Corresponding Author:  
  Peter Behroozi, University of Arizona, behroozi@arizona.edu


License:  
  CC BY 4.0


DOI:  
  https://doi.org/10.25422/azu.data.12093972



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## Summary

The UniverseMachine is a self-consistent empirical model of galaxy formation in dark matter halos.  It is constrained via observed galaxy stellar mass functions, star formation rates, clustering, luminosity functions, and quenched fractions.  This dataset includes derived constraints on galaxy-halo relationships, star formation histories, merger histories, and predicted observables.

Full mock catalogs with galaxy properties are available here: https://www.peterbehroozi.com/data.html



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## Files and Folders

See the included README.pdf that provides exhaustive details of file naming conventions.  The graphs/ folder contains EPS, PNG, PDF, and some SVG versions of graphs in the published paper; the original graphs in Grace format are in the AGR subdirectories.  Please see the published paper for descriptions of the files in the graphs/ folder.



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## Additional Notes

UniverseMachine code and scripts are publicly available here: https://bitbucket.org/pbehroozi/universemachine