SLSim (Strong Lensing Simulation) pipeline
LSST strong lensing simulation pipeline.
This GitHub project originates from an intercollaboration agreement between the two LSST Science collaborations:
This repository provides the simulation tools for the purpose of conducting strong gravitational lensing science with the Vera C. Rubin Observatory. All the tools are open-source available. Check out below how you can contribute and become part of the LSST strong lensing science.
Free software: MIT license
Documentation: https://slsim.readthedocs.io.
How to contribute to the repository?
Check out our step-by-step instructions how you can contribute code to this project Contributing Guidelines. Are you new to coding and contributing to a software development project? No worries! We help you out! Write us on the LSST Slack channel #sl-pipeline.
Note: sim-pipeline is written in object-oriented python. What fun!
How can I participate in LSST strong lensing projects?
We have a dedicated Onboarding page with all the information about the collaboration structure and how to become part of this project. We are excited to having you part of the LSST strong lensing effort!
How can I give credit when using this package?
We strive to acknowledge all contributors of this repository, be it direct code contributions or for the project at large. See our Citation guidelines.
History
0.1.0 (2022-02-01)
First sceleton.
0.1.1 (2025-11-10)
First release of beta version
1 maintainer
Metadata
1 maintainer
Release files for slsim 0.1.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
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| slsim-0.1.1.tar.gz | 6.3 MB | Details |
Release files / slsim-0.1.1.tar.gz
| Download URL | slsim-0.1.1.tar.gz |
|---|---|
| Size | 6.3 MB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
17bb16fc7db44b517104a6196e234d81309b21f5be04ea24bceaf58e80dc889f
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.10.10
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