This code accompanies the paper Modeling the Impact of Baryons on Subhalo Populations with Machine Learning (arxiv.org/abs/1712.04467). It implements a random forest trained on hydrodynamic simulations to classify disrupted and surviving subhalos in dark-matter-only zoom-in simulations of Milky Way-mass host halos.
-
Notifications
You must be signed in to change notification settings - Fork 2
eonadler/subhalo_randomforest
Folders and files
| Name | Name | Last commit message | Last commit date | |
|---|---|---|---|---|
Repository files navigation
About
A machine learning model for subhalo disruption due to baryonic physics in MW-mass systems.
Resources
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published