Updated and improved version of the Sparse Lens Inversion Technique (SLIT), developed within the framework of lens modelling software lenstronomy.
The documentation is available on readthedocs.org (currently in development).
Installation
This package is available through PyPi.
$ pip install slitronomy --userRequirements
In addition to standard packages listed in requirements.txt, lenstronomy needs to be installed to access to python classes for proper initialisation of SLITronomy solvers.
The most straghtforward way to use pixel-based solvers of SLITronomy is directly through lenstronomy (version >=1.6.0), by using the ‘SLIT_STARLETS’ light profiles. SLITronomy can also be used as a standalone tool.
Example notebooks
An ensemble of example notebooks are located at thirdparty/notebooks :
Acknowledging SLITronomy
SLITronomy: Galan et al. 2020.
Sparse Linear Inversion Technique: Joseph et al. 2019.
lenstronomy modelling software: Birrer & Amara 2018.
1 maintainer
Release files for slitronomy 0.3.3
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| slitronomy-0.3.3.tar.gz | 5.8 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| slitronomy-0.3.3-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 5.8 MB
Release files / slitronomy-0.3.3.tar.gz
| Download URL | slitronomy-0.3.3.tar.gz |
|---|---|
| Size | 5.8 MB |
| Tags | Source |
|
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Release files / slitronomy-0.3.3-py3-none-any.whl
| Download URL | slitronomy-0.3.3-py3-none-any.whl |
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| Size | 54.7 kB |
| Tags | Python 3 |
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