Skip to main content

Galaxy spectral fitting

Project description

Bayesian Analysis of Galaxies for Physical Inference and Parameter EStimation

Bagpipes is a state of the art code for generating realistic model galaxy spectra and fitting these to spectroscopic and photometric observations. For further information please see the Bagpipes documentation at bagpipes.readthedocs.io.

Bagpipes can be installed with pip:

pip install bagpipes

Please note you cannot run the code just by cloning the repository as the large grids of models aren’t included.

docs/images/sfh_from_spec.png

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

bagpipes-0.8.4.tar.gz (205.9 MB view details)

Uploaded Source

Built Distribution

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

bagpipes-0.8.4-py2.py3-none-any.whl (206.0 MB view details)

Uploaded Python 2Python 3

File details

Details for the file bagpipes-0.8.4.tar.gz.

File metadata

  • Download URL: bagpipes-0.8.4.tar.gz
  • Upload date:
  • Size: 205.9 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.12.1 pkginfo/1.4.2 requests/2.21.0 setuptools/40.6.3 requests-toolbelt/0.8.0 tqdm/4.28.1 CPython/2.7.15

File hashes

Hashes for bagpipes-0.8.4.tar.gz
Algorithm Hash digest
SHA256 886724470e98876b6b214d34c44a5f9fea83269fa7528997b70c86e38a29ca7e
MD5 1d134431974df043da1da5838e839e58
BLAKE2b-256 35bec250dba198be530931e6f2d999c0f2b9f71c31cb0bff3c633317fa29e402

See more details on using hashes here.

File details

Details for the file bagpipes-0.8.4-py2.py3-none-any.whl.

File metadata

  • Download URL: bagpipes-0.8.4-py2.py3-none-any.whl
  • Upload date:
  • Size: 206.0 MB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.12.1 pkginfo/1.4.2 requests/2.21.0 setuptools/40.6.3 requests-toolbelt/0.8.0 tqdm/4.28.1 CPython/2.7.15

File hashes

Hashes for bagpipes-0.8.4-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 975ce0c259fb0a97632f16db3be2b47b4b5276013b0151d6ca33b391a9e43392
MD5 9ec3a9c6f2b63c7d01ae9aeb54bfddf7
BLAKE2b-256 d0a3f23fc215b9a2b9314651eaeb0bed32429b7d7956fb588e285997223fe349

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