space-dolphin 1.2.1
Automated pipeline for lens modeling based on lenstronomy
Requires Python: >=3.9
Keywords: dolphin, lenstronomy

.. |logo| image:: https://raw.githubusercontent.com/ajshajib/dolphin/efb2673646edd6c2d98963e9f4d08a9104d293c3/logo.png
    :width: 70

|logo| dolphin
==============

.. image:: https://readthedocs.org/projects/dolphin-docs/badge/?version=latest
    :target: https://dolphin-docs.readthedocs.io/latest/
.. image:: https://github.com/ajshajib/dolphin/actions/workflows/ci.yaml/badge.svg?branch=main
    :target: https://github.com/ajshajib/dolphin/actions/workflows/ci.yaml
.. 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
.. image:: https://img.shields.io/badge/License-BSD_3--Clause-blue.svg
    :target: https://github.com/ajshajib/dolphin/blob/main/LICENSE
    :alt: License BSD 3-Clause Badge
.. image:: https://img.shields.io/badge/ApJ-%20992%2040-D22630
   :target: https://iopscience.iop.org/article/10.3847/1538-4357/adf95c
   :alt: Shajib et al. 2025, ApJ, 992, 40
.. image:: https://img.shields.io/badge/arXiv-2503.22657-b31b1b?logo=arxiv&logoColor=white
    :target: https://arxiv.org/abs/2503.22657
.. image:: https://img.shields.io/badge/DOI-10.5281%2Fzenodo.16587211-blue
   :target: https://doi.org/10.5281/zenodo.16587211
   :alt: Zenodo DOI 10.5281/zenodo.16587211
.. image:: https://img.shields.io/badge/pre--commit-enabled-brightgreen?logo=pre-commit&logoColor=brightyellow
    :target: https://pre-commit.com/
.. image:: https://img.shields.io/badge/code%20style-black-000000.svg
    :target: https://github.com/psf/black
.. image:: https://img.shields.io/badge/%20formatter-docformatter-fedcba.svg
    :target: https://github.com/PyCQA/docformatter
.. image:: https://img.shields.io/badge/%20style-sphinx-0a507a.svg
    :target: https://www.sphinx-doc.org/en/master/usage/index.html

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>`_.