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Welcome to astromorphlib's documentation!
========================================
.. raw:: html
Overview
========
``astromorphlib`` (https://gitlab.com/joseaher/astromorphlib) is a
powerful and versatile collection of Python functions designed to analyze the
morphology of both isolated and interacting galaxies in various environments,
including fields, groups, and clusters. The package offers a wide range of
functionalities that enable users to conduct comprehensive analyses of
astronomical images. One of the key features of ``astromorphlib`` is its seamless
integration with S-PLUS (https://splus.cloud/), Legacy
(https://www.legacysurvey.org) and SDSS (https://www.sdss4.org/dr17/imaging)
image databases, allowing users to effortlessly
download relevant images for their analyses. By automating this process,
researchers can focus on their analysis without the burden of manual data
retrieval. The library provides essential image processing capabilities, such
as calculating 2D sky background models and generating segmentation maps with
optional source deblending.
``astromorphlib`` also facilitates the determination of non-parametric parameters
like CAS (Concentration, Asymmetry, and Smoothness) or
MID (M20, Intensity, and Deviation) statistics. These parameters are valuable
for characterizing galaxy morphologies and understanding their evolutionary
processes. The non-parametric analysis is performed by using statmorph package
(https://github.com/vrodgom/statmorph).
Furthermore, ``astromorphlib`` enables researchers to study the environment of their
target object/system by fetching a list of galaxies within the field-of-view of
S-PLUS/Legacy images from the SIMBAD server (http://simbad.u-strasbg.fr/simbad/).
This feature enhances the context and understanding of the analyzed objects by
considering their neighbouring galaxies.
``astromorphlib`` is a
comprehensive and user-friendly Python package that allows the user to conduct
detailed morphological analyses of galaxies in diverse environments.
Installation
============
.. toctree::
:maxdepth: 2
installation
Examples
=========
.. toctree::
:maxdepth: 2
examples
Parameters
=========
.. toctree::
:maxdepth: 2
parameters
Publications
============
- `Krabbe & Hernandez-Jimenez et al. (2024) `_. In this paper Astromorphlib was applied to study ram-pressure stripped candidates.
Authors
=======
- Jose Hernandez-Jimenez (joseaher@gmail.com)
- Angela Krabbe
**Acknowledgments**
This software was funded partially by Brazilian agency FAPESP,
process number 2021/08920-8.
Citing
======
If you use this code for a scientific publication, please cite `Hernandez-Jimenez & Krabbe et al. (2022) `_
and `Krabbe & Hernandez-Jimenez et al. (2024) `_.
The BibTeX entries for this package is::
@MISC{hernandez_jimenez_2022,
author = {Hernandez-Jimenez, J. A. and
Krabbe, A. C.},
title = {{Astromorphlib: Python scripts to analyze the
morphology of isolated and interacting galaxies}},
month = jul,
year = 2022,
publisher = {Zenodo},
version = {0.2},
url = {https://doi.org/10.5281/zenodo.6940848},
doi = {10.5281/zenodo.6940848},
}
@ARTICLE{2024MNRAS.528.1125K,
author = {{Krabbe}, A.~C. and {Hernandez-Jimenez}, J.~A. and {Mendes de Oliveira}, C. and {Jaffe}, Y.~L. and {Oliveira}, C.~B. and {Cardoso}, N.~M. and {Smith Castelli}, A.~V. and {Dors}, O.~L. and {Cortesi}, A. and {Crossett}, J.~P.},
title = "{Diagnostic diagrams for ram pressure stripped candidates}",
journal = {\mnras},
keywords = {galaxies: clusters: general, galaxies: clusters: intracluster medium, galaxies: evolution, galaxies: interactions, galaxies: irregular, galaxies: structure, Astrophysics - Astrophysics of Galaxies},
year = 2024,
month = feb,
volume = {528},
number = {2},
pages = {1125-1141},
doi = {10.1093/mnras/stad3881},
archivePrefix = {arXiv},
eprint = {2312.09220},
primaryClass = {astro-ph.GA},
adsurl = {https://ui.adsabs.harvard.edu/abs/2024MNRAS.528.1125K},
adsnote
Indices and tables
==================
* :ref:`genindex`
* :ref:`modindex`
* :ref:`search`