.. statmorphlib documentation master file, created by sphinx-quickstart on Mon Nov 6 12:41:08 2023. You can adapt this file completely to your liking, but it should at least contain the root `toctree` directive. 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`