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|logo| dolphin
==============
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.. image:: https://codecov.io/gh/ajshajib/dolphin/branch/main/graph/badge.svg?token=WZVXZS9GF1
:target: https://app.codecov.io/gh/ajshajib/dolphin/tree/main
:alt: Codecov
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:target: https://github.com/ajshajib/dolphin/blob/main/LICENSE
:alt: License BSD 3-Clause Badge
.. image:: https://img.shields.io/badge/arXiv-2503.22657-b31b1b?logo=arxiv&logoColor=white
:target: https://arxiv.org/abs/2503.22657
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:target: https://github.com/psf/black
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AI-powered automated pipeline for lens modeling, with
`lenstronomy <https://github.com/lenstronomy/lenstronomy>`_ as the modeling engine.
Features
--------
- **AI-automated** forward modeling for large samples of galaxy-scale lenses.
- **Flexible**: supports both fully automated and semi-automated (with user tweaks) modes.
- **Multi-band** lens modeling made simple.
- Supports both **galaxy–galaxy** and **galaxy–quasar** systems.
- Effortless syncing between local machines and **HPCC**.
- |Codecov| **tested!**
.. |Codecov| image:: https://codecov.io/gh/ajshajib/dolphin/branch/main/graph/badge.svg?token=WZVXZS9GF1
:target: https://app.codecov.io/gh/ajshajib/dolphin/tree/main
Installation
------------
.. image:: https://img.shields.io/pypi/v/space-dolphin.svg
:alt: PyPI - Version
:target: https://pypi.org/project/space-dolphin/
You can install ``dolphin`` using ``pip``. Run the following command:
.. code-block:: bash
pip install space-dolphin
Alternatively, you can install the latest development version from GitHub as:
.. code-block:: bash
git clone https://github.com/ajshajib/dolphin.git
cd dolphin
pip install .
See the `Quickstart guide <QUICKSTART.rst>`_ for instructions on setting up and running ``dolphin``.
Citation
--------
If you use ``dolphin`` in your research, please cite the ``dolphin`` paper `Shajib et al. (2025) <https://arxiv.org/abs/2503.22657>`_. If you have used the ``"galaxy-quasar"`` fitting recipe, then additionally cite `Shajib et al. (2019) <https://ui.adsabs.harvard.edu/abs/2019MNRAS.483.5649S/abstract>`_, or if you have used the ``"galaxy-galaxy"`` fitting recipe, then additionally cite `Shajib et al. (2021) <https://ui.adsabs.harvard.edu/abs/2021MNRAS.503.2380S/abstract>`_.
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