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-0.1.tar.gz (42.8 MB view details)

Uploaded Source

Built Distribution

CAMELS_library-0.1-py3-none-any.whl (13.1 kB view details)

Uploaded Python 3

File details

Details for the file CAMELS_library-0.1.tar.gz.

File metadata

  • Download URL: CAMELS_library-0.1.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-0.1.tar.gz
Algorithm Hash digest
SHA256 145d317b9ff79230b25d48d15d36b3f1a99c58f8d117fb86529103c28418e69f
MD5 08237719aa9b5ab5d92efde353eb76f1
BLAKE2b-256 f8ca30ec01f5244a86dfbad3dd074eeec91a649595bffe064ba26f0a180a6ed9

See more details on using hashes here.

File details

Details for the file CAMELS_library-0.1-py3-none-any.whl.

File metadata

  • Download URL: CAMELS_library-0.1-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-0.1-py3-none-any.whl
Algorithm Hash digest
SHA256 7fb23317c814b7dc8320da836bf1368de3d7f4b77a6661ca2db6244f55c39acb
MD5 f4a6712ea9fa1ede99004afd7cc0bc43
BLAKE2b-256 71d52908ca6409f6d0d3d17bfffd7a647634dc36e71841afe8193b7032f06046

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