Skip to main content

Add your description here

Project description

limr

This is the Late-Inspiral Merger Ringdown (LIMR) model. It is a non-parametric non-spinning higher multipole model for the gravitational waves emitted from merging black holes.

Installation

TODO

Documentation

TODO

Development

Publish

uv commands like build, build --clear, version X.Y.Z

and publish to pypi with

$ uv publish --username __token__

Run an example

uv run --with gw-limr --no-project -- python examples/example.py

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

gw_limr-0.1.8.tar.gz (281.7 kB view details)

Uploaded Source

Built Distribution

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

gw_limr-0.1.8-py3-none-any.whl (371.6 kB view details)

Uploaded Python 3

File details

Details for the file gw_limr-0.1.8.tar.gz.

File metadata

  • Download URL: gw_limr-0.1.8.tar.gz
  • Upload date:
  • Size: 281.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.9.9 {"installer":{"name":"uv","version":"0.9.9"},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"macOS","version":null,"id":null,"libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":null}

File hashes

Hashes for gw_limr-0.1.8.tar.gz
Algorithm Hash digest
SHA256 9190eee50be601dee1cb762170cc493ab69ddf026a54678b4d1e19353580ad1a
MD5 3e9d8f3e308be002475fd3afc02d37f5
BLAKE2b-256 70785d5b221b3308421f52550fe57feb1757121aa97ef4b65cdba4ce1a03037a

See more details on using hashes here.

File details

Details for the file gw_limr-0.1.8-py3-none-any.whl.

File metadata

  • Download URL: gw_limr-0.1.8-py3-none-any.whl
  • Upload date:
  • Size: 371.6 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.9.9 {"installer":{"name":"uv","version":"0.9.9"},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"macOS","version":null,"id":null,"libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":null}

File hashes

Hashes for gw_limr-0.1.8-py3-none-any.whl
Algorithm Hash digest
SHA256 917bd6d2ddab1eb61775bf40b6fcfdaf4d6fbff628373b8a9eae486fdc1dff76
MD5 80e9f8ad35aee39b9184ec5f9b8e3253
BLAKE2b-256 e5f37b40e45a71c04c8a774d0f06348a300b4dce11715b96eb6f4983673f37ce

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