Smokescreen

Release 1.3.0

Smokescreen: DESC Blinding Unified Library. Based on the Muir et al. (2021) data-vector blinding method.

Homepage PyPI Jupyter Notebook

Keywords
blinding, cosmology, desc, firecrown, python, encryption-decryption, likelihood, two-point-function
License
Other
Install
pip install Smokescreen==1.3.0

Documentation

DESC Smokescreen Documentation codecov License: BSD 3-Clause LSST DESC Blinding Slack

Smokescreen: DESC Modules for data concealment (blinding)

This repostory (under development) contains the modules for data concealment (blinding) at the following levels of the analysis:

  • Data-vector measurements
  • Posterior distribution [not yet developed]
  • (TBC) Catalogues

You can find the documentation for Smokescreen here.

⚠️ Important notice ⚠️ : the term "blinding" is used in the context of data concealment for scientific analysis. We understand this is an outdated term and we are working to update it to a more appropriate term. If you have any suggestions, please let us know.

For questions contact @arthurmloureiro, @jessmuir, or @jablazek

Legacy Blinding

Legacy Blinding scripts for 2pt data vector blinding with Cosmosis moved to a new repository.

Stats

Dependencies
10
Dependent packages
0
Dependent repositories
0
Total releases
4
Latest release
First release
Stars
4
Forks
0
Watchers
8
Contributors
4
Repository size
13 MB
SourceRank
10

Development practices

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Releases

1.3.0
1.0.0
0.6.0
0.0.0

Contributors

arthurmloureiro stuartmcalpine Phil Marshall GitButler Client


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