Skip to main content

Tools to constrain PBHs and the GeV excess using continuous gravitational waves

Project description

cw_constrain

PyPI version License: MIT


Overview

cw_constrain is a Python package designed to provide tools and methods for constraining PBH abundance and the MSP hypothesis for the GeV excess using upper limits derived from continuous gravitational wave searches on real LIGO-Virgo-KAGRA data. It includes modules for analyzing GeV excess constraints, primordial black hole constraints, and shared utilities.


Features

  • Calculate constraints on MSP luminosity functions that explain the GeV excess using your own luminosity function, your own rotational frequency distribution and/or your own ellipticity distribution.
  • Compute constraints on the fraction of dark matter that primordial black hole (PBHs) could compose using your own mass function or PBH formation model.
  • Utility functions shared across modules for data processing
  • Well-structured package suitable for scientific research and data analysis

GeV excess constraints: how to use your own luminosity function

Please follow the tutorial in tutorials/O4a_GeV_excess_tutorial.ipynb


PBH constraints: how to use your own mass functions or PBH formation model

Please follow the tutorial in tutorials/O4a_pbh_all_sky_tutorial.ipynb


Installation

You can install the package directly from PyPI:

pip install cw-constrain

`import cw_constrain` (note the underescore versus hyphen)

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

cw_constrain-0.0.13.tar.gz (1.8 MB view details)

Uploaded Source

Built Distribution

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

cw_constrain-0.0.13-py3-none-any.whl (1.6 MB view details)

Uploaded Python 3

File details

Details for the file cw_constrain-0.0.13.tar.gz.

File metadata

  • Download URL: cw_constrain-0.0.13.tar.gz
  • Upload date:
  • Size: 1.8 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.9.13

File hashes

Hashes for cw_constrain-0.0.13.tar.gz
Algorithm Hash digest
SHA256 1b61dd45e70f6f71e2c74d744e03e1c6b97bcc5b0498baef5818d660fdaf7001
MD5 0ff02cec06eb98faaacd8f5a0e4e7731
BLAKE2b-256 6a71bb7b99cc503dcd86d4647065aa950be1938d8d5097a795b030e62620e010

See more details on using hashes here.

File details

Details for the file cw_constrain-0.0.13-py3-none-any.whl.

File metadata

  • Download URL: cw_constrain-0.0.13-py3-none-any.whl
  • Upload date:
  • Size: 1.6 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.9.13

File hashes

Hashes for cw_constrain-0.0.13-py3-none-any.whl
Algorithm Hash digest
SHA256 34f4895653314ca605c634cb86168a9cee8f9b16e5bb63fea6f2d4754c724633
MD5 e34baa3b5e5103d1128621d299b17d76
BLAKE2b-256 e7c4542c968150a3d756cd8fd307eee2061fb6494e6c9f6d2e8412f4201e7eba

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