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schnell's Introduction

schNell

schNell is a very lightweight python module that can be used to compute basic map-level noise properties for generic networks of gravitational wave interferometers. This includes primarily the noise power spectrum "N_ell", but also other things, such as antenna patterns, overlap functions, inverse variance maps etc.

Installation

You can install schnell simply by typing

pip install schnell [--user]

(use --user if you don't have admin privileges on your machine). Or for development versions you can download the repository with git and install from there using python setup.py install [--user].

Documentation

Documentation can be found on readthedocs.

This example notebook on github also showcases the main functionalities of the module.

Check out the following videos showing the scanning patterns of different GW networks.

License and credits

If you use schNell, we kindly ask you to cite its companion paper.

The code is available under the BSD 3-Clause license.

If you have a problem you've not been able to debug, or a feature request/suggestion, please open an issue on github to discuss it.

schnell's People

Contributors

damonge avatar

Stargazers

henrenzhenderen avatar Michelle avatar Alseïdon avatar Shichao Wu avatar

Watchers

Shichao Wu avatar  avatar  avatar

schnell's Issues

TODO for paper

  • Rerun inverse noise variance maps and create videos
  • Make antenna pattern plots for T/A/E for website?
  • New release pre-arXiv
  • Plots for rtd

Factor 2 in gamma

Currently the gamma functions for auto-correlation integrate to 0.5 instead of 1. Check factors of 1/2.

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