Deploys lenstronomy applications, examples and analysis scripts for lens modelling
Acompanies lenstronomy release version 1.9.1. lenstronomy is available through the pypi packaging index:
>>> pip install lenstronomy --user
If you are using the GitHub branch of lenstronomy, you may be a bit ahead of the notebooks.
Get in touch with Simon Birrer (sibirrer@gmail.com) if you encounter problems.
We have made an extension module available here. You can find simple examle notebooks for various cases.
- Units, coordinate system and parameter definitions in lenstronomy
- FITS handling and extracting needed information from the data prior to modeling
- Modeling a simple Einstein ring
- Quadrupoly lensed quasar modelling
- Double lensed quasar modelling
- Time-delay cosmography
- Source reconstruction and deconvolution with Shapelets
- Solving the lens equation
- Multi-band fitting
- Measuring cosmic shear with Einstein rings
- Fitting of galaxy light profiles, like e.g. GALFIT
- Quasar-host galaxy decomposition
- Hiding and seeking a single subclump
- Mock generation of realistic images with substructure in the lens
- Mock simulation API with multi color models
- Catalogue data modeling of image positions, flux ratios and time delays
- Example of numerical ray-tracing and convolution options
- Simulated lenses with populations generated by SkyPy
You can join the lenstronomy mailing list by signing up on the google groups page.
The email list is meant to provide a communication platform between users and developers. You can ask questions, and suggest new features. New releases will be announced via this mailing list.
We also have a Slack channel for the community. Please send me an email such that I can add you to the channel.
If you encounter errors or problems with lenstronomy, please let us know!
We provide some examples where a real galaxy has been lensed and then been reconstructed by a shapelet basis set.
- HST quality data with perfect knowledge of the lens model
- HST quality with a clump hidden in the data
- Extremely large telescope quality data with a clump hidden in the data
The design concept of lenstronomy is reported by Birrer & Amara 2018.
The current JOSS software publication is presented by Birrer et al. 2021.
Please cite these two publications when you use lenstronomy in a publication and link to https://github.com/sibirrer/lenstronomy.
Please also cite Birrer et al 2015
when you make use of the lenstronomy work-flow or the Shapelet source reconstruction and make sure to cite also
the relevant work that was implemented in lenstronomy, as described in the release paper and the documentation.
Don't hesitate to reach out to the developers if you have questions!