Skip to main content

Python routines to analyze the data from the simulations of the Cosmology and Astrophysics with MachinE Learning Simulations (CAMELS) project

Project description

CAMELS library

CAMELS stands for Cosmology and Astrophysics with MachinE Learning Simulations. It is a set of thousands of cosmological N-body and state-of-the-art hydrodynamic simulations run with different codes. The simulations of the CAMELS project are described in detail in the 2010.00619.

This repository contains the codes and scripts used to analyze the data from the CAMELS simulations.

Installation

For the stable version do:

python -m pip install camels_library

For the development version do

git clone https://github.com/franciscovillaescusa/CAMELS
cd CAMELS
python -m pip install .

Documentation

Click here for the detailed documentation.

Contact

For questions, comments...etc, please reach us at camel.simulations@gmail.com

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

CAMELS_library-0.2.tar.gz (42.8 MB view details)

Uploaded Source

Built Distribution

CAMELS_library-0.2-py3-none-any.whl (13.1 kB view details)

Uploaded Python 3

File details

Details for the file CAMELS_library-0.2.tar.gz.

File metadata

  • Download URL: CAMELS_library-0.2.tar.gz
  • Upload date:
  • Size: 42.8 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.12

File hashes

Hashes for CAMELS_library-0.2.tar.gz
Algorithm Hash digest
SHA256 1aafcb5ff5918f3372bbdd5c38f6dc6c7e848be3d041d5e535c0e1014842d405
MD5 40d5159ea99e86eb0b65647664c9f20b
BLAKE2b-256 beba0e0b5244987d618d77bf04265ee41742fedc677a874ca79cbdeaed717175

See more details on using hashes here.

File details

Details for the file CAMELS_library-0.2-py3-none-any.whl.

File metadata

  • Download URL: CAMELS_library-0.2-py3-none-any.whl
  • Upload date:
  • Size: 13.1 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.12

File hashes

Hashes for CAMELS_library-0.2-py3-none-any.whl
Algorithm Hash digest
SHA256 83b38c307193e633e0e1452e646900d540a412acd1d2872eb3340c30f4bb0990
MD5 f090bd27f32d90bb5b239d7e0fd487ac
BLAKE2b-256 7b6cc86ad05ae5576f8905e80f97d932f18daa91fee7f393391a48bfc1ff12c6

See more details on using hashes here.

Supported by

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