| Name | autolens JSON |
| Version |
2025.11.5.1
JSON |
| download |
| home_page | None |
| Summary | Open-Source Strong Lensing |
| upload_time | 2025-11-05 14:35:57 |
| maintainer | None |
| docs_url | None |
| author | None |
| requires_python | >=3.9 |
| license | MIT |
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cli
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 |
| bugtrack_url |
|
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No requirements were recorded.
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PyAutoLens-JAX: Open-Source Strong Lensing
==========================================
.. |nbsp| unicode:: 0xA0
:trim:
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:target: https://pyautolens.readthedocs.io/en/latest/?badge=latest
:alt: Documentation Status
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:target: https://github.com/Jammy2211/PyAutoLens/actions
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:target: https://arxiv.org/abs/1708.07377
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:alt: Python Versions
.. image:: https://img.shields.io/pypi/v/autolens.svg
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|binder| |RTD| |Tests| |Build| |code-style| |JOSS| |arXiv|
`Installation Guide <https://pyautolens.readthedocs.io/en/latest/installation/overview.html>`_ |
`readthedocs <https://pyautolens.readthedocs.io/en/latest/index.html>`_ |
`Introduction on Binder <https://mybinder.org/v2/gh/Jammy2211/autolens_workspace/release?filepath=start_here.ipynb>`_ |
`HowToLens <https://pyautolens.readthedocs.io/en/latest/howtolens/howtolens.html>`_
.. image:: https://github.com/Jammy2211/PyAutoLogo/blob/main/gifs/pyautolens.gif?raw=true
:width: 900
When two or more galaxies are aligned perfectly down our line-of-sight, the background galaxy appears multiple times.
This is called strong gravitational lensing and **PyAutoLens** makes it **simple** to model strong gravitational lenses, using JAX to **accelerate lens modeling on GPUs**.
Getting Started
---------------
The following links are useful for new starters:
- `The PyAutoLens readthedocs <https://pyautolens.readthedocs.io/en/latest>`_: which includes `an overview of PyAutoLens's core features <https://pyautolens.readthedocs.io/en/latest/overview/overview_1_start_here.html>`_, `a new user starting guide <https://pyautolens.readthedocs.io/en/latest/overview/overview_2_new_user_guide.html>`_ and `an installation guide <https://pyautolens.readthedocs.io/en/latest/installation/overview.html>`_.
- `The introduction Jupyter Notebook on Binder <https://mybinder.org/v2/gh/Jammy2211/autolens_workspace/release?filepath=start_here.ipynb>`_: try **PyAutoLens** in a web browser (without installation).
- `The autolens_workspace GitHub repository <https://github.com/Jammy2211/autolens_workspace>`_: example scripts and the HowToLens Jupyter notebook lectures.
Support
-------
Support for installation issues, help with lens modeling and using **PyAutoLens** is available by
`raising an issue on the GitHub issues page <https://github.com/Jammy2211/PyAutoLens/issues>`_.
We also offer support on the **PyAutoLens** `Slack channel <https://pyautolens.slack.com/>`_, where we also provide the
latest updates on **PyAutoLens**. Slack is invitation-only, so if you'd like to join send
an `email <https://github.com/Jammy2211>`_ requesting an invite.
HowToLens
---------
For users less familiar with gravitational lensing, Bayesian inference and scientific analysis
you may wish to read through the **HowToLens** lectures. These teach you the basic principles of gravitational lensing
and Bayesian inference, with the content pitched at undergraduate level and above.
A complete overview of the lectures `is provided on the HowToLens readthedocs page <https://pyautolens.readthedocs.io/en/latest/howtolens/howtolens.html>`_
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