Skip to main content

pyDARM modeling package for LIGO detector calibration

Project description

pyDARM

PyPI version Conda version License PyPI - Python Version

pyDARM is a python implementation of the LIGO DARM servo loop model. It is used to calibrate the detector digital output into units of differential arm length variations or spacetime strain.

If you need assistance, please review INSTALL.md and CONTRIBUTING.md for detailed installation instructions and contribution guidelines, respectively.

Installation

For best results, please install from conda-forge:

conda install -c conda-forge pydarm

On Unix systems, you can also install directly from PyPI:

pip install pydarm

Basic usage

See the web-based documentation and/or examples directory for examples of library usage. You can use pyDARM either from python, ipython, or a jupyter notebook, depending on your preferences.

Command line interface

pyDARM will eventually include a command line interface to help guide through the calibration process. See the command help for more info:

$ python3 -m pydarm --help

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

pydarm-0.1.1.tar.gz (5.8 MB view details)

Uploaded Source

Built Distribution

pydarm-0.1.1-py3-none-any.whl (145.3 kB view details)

Uploaded Python 3

File details

Details for the file pydarm-0.1.1.tar.gz.

File metadata

  • Download URL: pydarm-0.1.1.tar.gz
  • Upload date:
  • Size: 5.8 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.16

File hashes

Hashes for pydarm-0.1.1.tar.gz
Algorithm Hash digest
SHA256 310a513cc881d0076f3c9a8b62fb9b7d694c5ba9c980648fcdd31797480f2a95
MD5 1be9f37353dc1ef970a7385b2a29135a
BLAKE2b-256 ce657e1240ab4dba1b9d1d76d9417b174de11a1fc4c56758f7aede90cac72753

See more details on using hashes here.

File details

Details for the file pydarm-0.1.1-py3-none-any.whl.

File metadata

  • Download URL: pydarm-0.1.1-py3-none-any.whl
  • Upload date:
  • Size: 145.3 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.16

File hashes

Hashes for pydarm-0.1.1-py3-none-any.whl
Algorithm Hash digest
SHA256 5fdfc85fc94616707965ddd0721218472dca91119880792e92a33e872bf2df55
MD5 6f955ab416206585e716ec6ad2130fb1
BLAKE2b-256 6da68babf521e46a7f74ad152a642985358886848c8f370b0f5b3264c8d3d2f4

See more details on using hashes here.

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