Skip to main content

Python scripts to analyze the morphology of isolated/interacting galaxies

Project description

alt text

Overview

Python scripts to analyze the morphology of isolated and interacting galaxies. The package is designed to download S-PLUS (https://splus.cloud/), Legacy (https://www.legacysurvey.org) and SDSS (https://www.sdss4.org/dr17/imaging) images automatically. There are functions to calculate a 2D sky background of the images and deblended segmentation maps of interacting systems with merger isophotes. The non-parametric analysis is performed by using statmorph package (https://github.com/vrodgom/statmorph).
The user can study the environment of the object/system by downloading a list of the galaxies within Field-of-View of S-PLUS/Legacy images from SIMBAD server (http://simbad.u-strasbg.fr/simbad/). In addition, there is a function to display DSS2 (http://alasky.u-strasbg.fr/hips-image-services/hips2fits) images of any size.

:sparkles: Website: https://gitlab.com/joseaher/astromorphlib

Documentation

The documentation is available at https://astromorphlib.readthedocs.io

Installation

:sparkles: The latest version of astromorphlib is 1.0.8

Requirements

"astromorphlib" requires to run the following packages:

* statmorph
* splusdata
* astro-datalab
* astroplotlib
* astropy
* astroquery
* photutils (1.5.0 <)**
* numpy
* scipy
* matplotlib
* wget

** to install this specific version of photutils you can try:

% pip install photutils==1.5.0

This version can be easily installed via PyPI (https://pypi.org/project/astromorphlib/):

% pip install astromorphlib

If you prefer to install "astromorphlib" manually, you can clone the developing version at https://gitlab.com/joseaher/astromorphlib. In the directory this README is in, simply type:

% pip install .

or,

% python setup.py install

Uninstallation

To uninstall "astromorphlib", just type:

% pip uninstall astromorphlib

Publications

Authors

Acknowledgements

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 are:

@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 = {Provided by the SAO/NASA Astrophysics Data System}
}

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

astromorphlib-1.0.8.tar.gz (7.4 MB view details)

Uploaded Source

Built Distribution

astromorphlib-1.0.8-py3-none-any.whl (314.8 kB view details)

Uploaded Python 3

File details

Details for the file astromorphlib-1.0.8.tar.gz.

File metadata

  • Download URL: astromorphlib-1.0.8.tar.gz
  • Upload date:
  • Size: 7.4 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.12.4

File hashes

Hashes for astromorphlib-1.0.8.tar.gz
Algorithm Hash digest
SHA256 356fcf1dbfee8e5240b69655cd218382bbf0e5fdb766b4647b063e7c91a22b93
MD5 f58205363776cd6d1f9a47e5bdc03191
BLAKE2b-256 e1d50bf66fb403d6b7be70e8c22af706b5fd82d70b886efa34604d84edac42f2

See more details on using hashes here.

File details

Details for the file astromorphlib-1.0.8-py3-none-any.whl.

File metadata

File hashes

Hashes for astromorphlib-1.0.8-py3-none-any.whl
Algorithm Hash digest
SHA256 fce288704aae1eae6c2bd473b0cae05657e6070431544178cdf136c9fe594ba1
MD5 e667978db813af1a5035829fddb32833
BLAKE2b-256 3004530783029cfa5940c11de99eaa74932e9d43875cad7e201e6bc38813fa4d

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page