Galaxy light 2D modeling tool
Project description
============================= galight - Galaxy shapes of Light
.. image:: https://badge.fury.io/py/galight.png :target: http://badge.fury.io/py/galight
.. image:: https://travis-ci.org/dartoon/galight.png?branch=master :target: https://travis-ci.org/dartoon/galight
A python package that analyze and model the imaging data of galaxies, QSOs and duals.
Installation
.. code-block:: bash
$ pip install galight --user
Alternatively, the package can be installed through github channel: https://github.com/dartoon/galight
Requirements
Running galight
requires the following packages to be installed.
lenstronomy
https://github.com/sibirrer/lenstronomy <https://github.com/sibirrer/lenstronomy>
_astropy
https://github.com/astropy/astropy <https://github.com/astropy/astropy>
_photutils
https://github.com/astropy/photutils <https://github.com/astropy/photutils>
_regions
https://github.com/astropy/regions <https://github.com/astropy/regions>
_ and related ones to be installed...
Example notebooks
We have created notebooks <https://github.com/dartoon/galight_notebooks>
_ to demonstrate how to use galight
. These notebooks demonstrate how to model QSOs and galaxies using 2D Sersic profile and scaled point source, based on lenstronomy
lenstronomy <https://github.com/sibirrer/lenstronomy>
_.
Examples including:
Modeling a HSC imaged QSO <https://github.com/dartoon/galight_notebooks/blob/master/galight_HSC_QSO.ipynb>
_Modeling a HSC imaged dual QSO <https://github.com/dartoon/galight_notebooks/blob/master/galight_HSC_dualAGN.ipynb>
_Modeling a HST imaged QSO <https://github.com/dartoon/galight_notebooks/blob/master/galight_HST_QSO.ipynb>
_
Features
The notebook demonstrates the follwing feature/functions:
- Search PSF stars through entire field of view, automatically.
- Cutout the target object and prepare the materials for the modelling.
- Estimate the background noise level from empty regions.
- Estimate the global background light and remove.
- Detecting objects in the cutout stamp and quickly create Sersic keywords (in
lenstronomy
type) to model them.
Project details
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