Skip to main content

Parameter Estimation for EDGES

Project description

Constrain foreground and 21 cm feature parameters with EDGES data.

Documentation Status pre-commit

Features

  • Uses yabf as its Bayesian framework

  • Both emcee-based and polychord-based fits possible

  • Range of foreground models available (eg. LinLog, LogLog, PhysicalLin)

  • Supports arbitrary hierarchical models, and parameter dependencies.

Installation

You should just be able to do pip install . in the top-level directory, with all necessary dependencies automatically installed.

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

edges_estimate-1.2.2.tar.gz (5.0 MB view details)

Uploaded Source

Built Distribution

edges_estimate-1.2.2-py2.py3-none-any.whl (23.5 kB view details)

Uploaded Python 2 Python 3

File details

Details for the file edges_estimate-1.2.2.tar.gz.

File metadata

  • Download URL: edges_estimate-1.2.2.tar.gz
  • Upload date:
  • Size: 5.0 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/34.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.9 tqdm/4.63.0 importlib-metadata/4.11.3 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.9.11

File hashes

Hashes for edges_estimate-1.2.2.tar.gz
Algorithm Hash digest
SHA256 0a8436fe2bb3214503d1f739817bbc9734e4412545d9ba84dcb0846bb57e8e52
MD5 c2fbfee3b67fce565b120289971397bf
BLAKE2b-256 2ec32144c6ef31d750d3ddb8f60a44151ca21650ddc5b0c850e0f65c066668e2

See more details on using hashes here.

Provenance

File details

Details for the file edges_estimate-1.2.2-py2.py3-none-any.whl.

File metadata

  • Download URL: edges_estimate-1.2.2-py2.py3-none-any.whl
  • Upload date:
  • Size: 23.5 kB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/34.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.9 tqdm/4.63.0 importlib-metadata/4.11.3 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.9.11

File hashes

Hashes for edges_estimate-1.2.2-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 66f1f4373ccd4efa5ba67117a3816aa57eb4e2242b1dc1043c02f30badcdef81
MD5 a2295009e36583800b494a6c88feeea7
BLAKE2b-256 744eccdc57b33d1c552f829be9ab9c447bc5e04150c63abe553cf21dfe4c7627

See more details on using hashes here.

Provenance

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