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[ascl:1811.010] MillCgs: Searching for Compact Groups in the Millennium Simulation

MillCgs clusters galaxies from the semi-analytic models run on top of the Millennium Simulation to identify Compact Groups. MillCgs uses a machine learning clustering algorithm to find the groups and then runs analytics to filter out the groups that do not fit the user specified criteria. The package downloads the data, processes it, and then creates graphs of the data.

Code site:
https://github.com/cdw9bf/CompactGroup
Used in:
https://ui.adsabs.harvard.edu/abs/2019ApJ...873..124W
Bibcode:
2018ascl.soft11010W

Views: 1110

ascl:1811.010
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