Implements 3D point cloud algorithms for estimation and fitting of shape and density profiles
Project description
CosmicProfiles is a Python package for Point Cloud Profiling
The CosmicProfiles project
This repository provides shape and density profile analysis tools for cosmological simulations (and beyond). Its features include
- overall halo shape determination, i.e. major, intermediate, minor axis vectors and shape quantities such as intermediate-to-major axis ratio or sphericity
- halo shape profile determination
- iterative shell-based shape profile determination algorithm for high-resolution halos
- iterative ellipsoid-based shape profile determination algorithm for lower-resolution halos
- works with
- 'direct' datasets (i.e. index catalogue provided by user) and
- Gadget-style HDF5 snapshot files
- additional velocity dispersion tensor eigenaxes determination
- galaxy density and shape profile determination also works out of the box
- halo density profile estimation using direct binning and kernel-based approaches
- density profile fitting assuming either NFW, Hernquist 1990, Einasto or $\alpha \beta \gamma$-profile model
- concentration-mass relationship of halos easy to calculate
- mock halo generator: ellipsoidal or spherical, compatible with the 4 density profile models
- easy to interface with
pynbody
to work with halos identified in a cosmological simulation (see example scripts) - easy to interface with
nbodykit
to harness large-scale structure capabilities (see example scripts) - 3D point cloud plotting tools
The documentation can be found here.
Contributions are welcome. Please raise a PR. Comments/recommendations/complaints can be sent here.
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