Welcome to astromorphlib’s documentation!

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

Examples

Parameters

Publications

Authors

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