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galight

★ 53 Open GitHub ↗

A python package that decompose the light into PSF and Sersic, fitting based on lenstronomy

// repository documentation

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# galight - Galaxy shapes of Light
A Python-based open-source package that can be used to perform two-dimensional model fitting of optical and near-infrared images to characterize the light distribution of galaxies with components including a disk, bulge, bar and quasar.

![plot](https://raw.githubusercontent.com/dartoon/galight/master/figs/fitting_result.png)

Installation
------------
    $ git clone https://github.com/dartoon/galight <desired location>
    $ cd <desired location>
    $ python setup.py install --user

Alternatively, ``galight`` can be installed through pip:

$ pip install galight --user

Getting started:
------------
The [example notebook](https://github.com/dartoon/galight_notebooks/blob/master/galight_HST_QSO.ipynb) allows the user to quickly go through a fitting task on a HST observed AGN at z~1.5.

Some other notebooks of demonstrating how to use ``galight`` with more features can be found in:
https://github.com/dartoon/galight_notebooks

The data used in the example notebook can be found [here](https://drive.google.com/file/d/1Axwo-aD5yFrkuHIlYBsQ8ma1nHRpcAHg/view?usp=sharing).

For more information, an online documentation can be found in ReadtheDocs:
https://galight.readthedocs.io/

Additional Features
------------
``galight`` helps the user to execute model fitting with ease based on, but not limited to, automated features as listed as follows:
* Search PSF stars in the FOV.
![plot](https://raw.githubusercontent.com/dartoon/galight/master/figs/find_PSF.png)
* Automatically Estimate the background noise level.
![plot](https://raw.githubusercontent.com/dartoon/galight/master/figs/est_bkgstd.png)
* Cutout the target object galaxies (QSOs) and prepare the materials to model the data.
* Detecting objects in the cutout stamp and quickly create Sersic keywords (in ``lenstronomy`` type) to model them.
* Model them QSOs and galaxies using 2D Sersic profile and scaled point source, based on [``lenstronomy``](https://github.com/sibirrer/lenstronomy).
![plot](https://raw.githubusercontent.com/dartoon/galight/master/figs/fitting_sets.png)

Requirements
------------
Galight utilizes the image modeling capabilities of ``lenstronomy`` while redesigning the user interface for the analysis of large samples of extragalactic sources.

packages requirements can be found [here](https://github.com/dartoon/galight/blob/master/requirements.txt).

Citation:
---------
    @ARTICLE{2020ApJ...888...37D,
       author = {{Ding}, Xuheng and {Silverman}, John and {Treu}, Tommaso and {Schulze}, Andreas and {Schramm}, Malte and {Birrer}, Simon and {Park}, Daeseong and {Jahnke}, Knud and {Bennert}, Vardha N. and {Kartaltepe}, Jeyhan S. and {Koekemoer}, Anton M. and {Malkan}, Matthew A. and {Sanders}, David},
        title = "{The Mass Relations between Supermassive Black Holes and Their Host Galaxies at 1 < z < 2 HST-WFC3}",
      journal = {\apj},
     keywords = {Galaxy evolution, Active galaxies, 594, 17, Astrophysics - Astrophysics of Galaxies},
         year = 2020,
        month = jan,
       volume = {888},
       number = {1},
          eid = {37},
        pages = {37},
          doi = {10.3847/1538-4357/ab5b90},
       archivePrefix = {arXiv},
       eprint = {1910.11875},
        primaryClass = {astro-ph.GA},
       adsurl = {https://ui.adsabs.harvard.edu/abs/2020ApJ...888...37D},
      adsnote = {Provided by the SAO/NASA Astrophysics Data System}
      }
    
    @ARTICLE{2021JOSS....6.3283B,
       author = {{Birrer}, Simon and {Shajib}, Anowar and {Gilman}, Daniel and {Galan}, Aymeric and {Aalbers}, Jelle and {Millon}, Martin and {Morgan}, Robert and {Pagano}, Giulia and {Park}, Ji and {Teodori}, Luca and {Tessore}, Nicolas and {Ueland}, Madison and {Van de Vyvere}, Lyne and {Wagner-Carena}, Sebastian and {Wempe}, Ewoud and {Yang}, Lilan and {Ding}, Xuheng and {Schmidt}, Thomas and {Sluse}, Dominique and {Zhang}, Ming and {Amara}, Adam},
        title = "{lenstronomy II: A gravitational lensing software ecosystem}",
      journal = {The Journal of Open Source Software},
     keywords = {image simulations, Python, gravitational lensing, dynamics, astronomy, Ruby, Astrophysics - Cosmology and Nongalactic Astrophysics, Astrophysics - Astrophysics of Galaxies, Astrophysics - Instrumentation and Methods for Astrophysics},
         year = 2021,
        month = jun,
       volume = {6},
       number = {62},
          eid = {3283},
        pages = {3283},
          doi = {10.21105/joss.03283},
        archivePrefix = {arXiv},
       eprint = {2106.05976},
         primaryClass = {astro-ph.CO},
       adsurl = {https://ui.adsabs.harvard.edu/abs/2021JOSS....6.3283B},
      adsnote = {Provided by the SAO/NASA Astrophysics Data System}
        }

galight

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