Skip to main content

Fitting of multimass equilibrium models of globular clusters

Project description

GCfit

Equilibrium Globular Cluster Models and Fitting

gcfit is a Python package enabling the creation of multimass distribution-function based lowered isothermal (LIMEPY) models, representing globular cluster (GC) systems, and the generalized fitting of these models to various observational GC data products, via a parallelized sampling suite.

Documentation

All documentation, including installation instructions and examples, can be found here.

Attribution

GCfit was first introduced in Dickson et al. (2023).

If you find this package useful in your research, please see the documentation for information on what you should cite.

Project details


Release history Release notifications | RSS feed

This version

2.0

Download files

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

Source Distribution

gcfit-2.0.tar.gz (365.8 kB view details)

Uploaded Source

Built Distributions

If you're not sure about the file name format, learn more about wheel file names.

gcfit-2.0-py3-none-any.whl (395.3 kB view details)

Uploaded Python 3

gcfit-2.0-1-py3-none-any.whl (554.1 kB view details)

Uploaded Python 3

File details

Details for the file gcfit-2.0.tar.gz.

File metadata

  • Download URL: gcfit-2.0.tar.gz
  • Upload date:
  • Size: 365.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.0 CPython/3.12.3

File hashes

Hashes for gcfit-2.0.tar.gz
Algorithm Hash digest
SHA256 bb2720d0e67248f0ffef08bfd0c961a6525b7c267cacd9e681791d921f2f0200
MD5 c8b01bf08f65eb0f7a609fd8ad4c273b
BLAKE2b-256 5c93353ea1c818136b7569903285136c6500263031a38d60430a74aceb419e96

See more details on using hashes here.

File details

Details for the file gcfit-2.0-py3-none-any.whl.

File metadata

  • Download URL: gcfit-2.0-py3-none-any.whl
  • Upload date:
  • Size: 395.3 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.0 CPython/3.12.3

File hashes

Hashes for gcfit-2.0-py3-none-any.whl
Algorithm Hash digest
SHA256 66e850f93b961b3a6adad8c949bf9a0d2a33f32ae843bc077c317d4a06ae7f47
MD5 3e86ce4c453a39758ff1d995bd27d7e4
BLAKE2b-256 a9e0c8ddf66029b499adfaf0126c37b98d2f85df10baad9d438088ec9870f348

See more details on using hashes here.

File details

Details for the file gcfit-2.0-1-py3-none-any.whl.

File metadata

  • Download URL: gcfit-2.0-1-py3-none-any.whl
  • Upload date:
  • Size: 554.1 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.3

File hashes

Hashes for gcfit-2.0-1-py3-none-any.whl
Algorithm Hash digest
SHA256 ccb11add4046bdb64f8233b55739d86d46e3efe486f6bc1e8b7c04fea5676f60
MD5 4d57ff3d02df622663177e48caaceb6d
BLAKE2b-256 20f26ab788e4bf511ccf4a4438953351e768faffeb38a79da7396f20894b96cb

See more details on using hashes here.

Supported by

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