galight 0.1.1

Galaxy light 2D modeling tool

============================= 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.