cosmic-profiles 1.4.0

Implements 3D point cloud algorithms for estimation and fitting of shape and density profiles

CosmicProfiles is a Cython 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

  • user can choose between reduced shape tensor and non-reduced shape tensor

• supports

  • ‘direct’ datasets (i.e. index catalogue provided by user) and

  • FoF / SUBFIND halo catalogues

  • Gadget-style I, II and HDF5 snapshot files

    • all functionalities available for dark matter halos, gas particle halos and star particle halos

    • in addition, allows for velocity dispersion tensor eigenaxes determination

• halo density profile estimation using direct binning and kernel-based approaches

  • user can choose between direct binning into spherical shells and

  • direct binning into ellipsoidal shells

• 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)

• various profile plotting and 3D point cloud plotting tools

• efficient caching capabilities to accelerate look-ups

Documentation

The documentation for CosmicProfiles is hosted on Read the Docs.

Installation and Dependencies

The easiest way to get CosmicProfiles is to install it with conda using the conda-forge channel:

conda install cosmic_profiles --channel conda-forge

Alternatively, you can use pip:

pip install cosmic-profiles

See the installation instructions in the documentation for more information.

License

Copyright 2020-2023 Tibor Dome.

CosmicProfiles is free software made available under the MIT License.

Contributions are welcome. Please raise an issue or open a PR.