Skip to main content

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

Project description

Logo

CosmicProfiles is a Cython package for Point Cloud Profiling

Build status Platforms

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

Documentation Status

The documentation for CosmicProfiles is hosted on Read the Docs.

Installation and Dependencies

PyPI Name Downloads Version

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

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.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

cosmic_profiles-1.4.0.tar.gz (1.4 MB view hashes)

Uploaded Source

Built Distribution

cosmic_profiles-1.4.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (3.4 MB view hashes)

Uploaded CPython 3.9 manylinux: glibc 2.17+ x86-64

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page