Smokescreen: DESC Modules for data concealment (blinding)
:warning: Important notice :warning: : 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 We understand this is an outdated term and we are working to update it to a more appropriate term.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. This repository (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.
Quick Installation
You can install Smokescreen using conda:
conda install -c conda-forge lsstdesc-smokescreen
For developer installation or other instructions check the documentation.
For questions contact @arthurmloureiro, @jessmuir, or @jablazek
Legacy 2pt Cosmosis Blinding
Legacy Blinding scripts for 2pt data vector blinding with Cosmosis moved to a new repository.
1 maintainer
Metadata
1 maintainer
Release files for Smokescreen 1.5.6
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| smokescreen-1.5.6.tar.gz | 362.1 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| smokescreen-1.5.6-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 379.6 kB
Release files / smokescreen-1.5.6.tar.gz
| Download URL | smokescreen-1.5.6.tar.gz |
|---|---|
| Size | 362.1 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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No |
| Uploaded via |
twine/6.2.0 CPython/3.13.12
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Release files / smokescreen-1.5.6-py3-none-any.whl
| Download URL | smokescreen-1.5.6-py3-none-any.whl |
|---|---|
| Size | 17.6 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.13.12
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