scludam 1.0.0

Star cluster detection and membership estimation based on GAIA data.

SCLUDAM (Star CLUster Detection And Membership estimation)

scludam (Star CLUster Detection And Membership estimation) is a Python package for GAIA catalogues data fetching, star cluster detection and star cluster membership estimation.

Repository and issues

https://github.com/simonpedrogonzalez/scludam

Authors

• Simón Pedro González email: [e-mail]

Features

Currently scludam is a work in progress. Modules and features already included are:

• fetcher: simple query builder to get data from the GAIA catalogue more easily, and some extra useful functions.

• stat_tests: set of 3 clusterability tests that can be used to detect the presence of a cluster in a sample.

• synthetic: classes that can be used to generate synthetic astrometric samples by specifying the distributions to use and parameter values.

• detection: classes that can be used to detect the presence of a cluster in a sample.

• shdbscan: soft clustering based on the HDBSCAN algorithm.

• hkde: kernel density estimation with variable bandwidth.

• membership: membership calculation based on hkde smoothing.

• pipeline: pipeline for the detection and membership estimation, with default values and convenience functions.

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Requirements

You need Python 3.7.6+ and R 3.6.3+ to run scludam. It is recommended to install scludam in a separate environment created with pyenv or conda, to avoid dependencies issues with other preinstalled packages you may have in the base environment. The following dependencies will be installed with SCLUDAM:

• numpy>=1.21.6
• matplotlib>=3.4.1
• scipy>=1.7.3
• astropy>=4.3.1
• astroquery>=0.4.6
• pandas>=1.3.5
• hdbscan==0.8.27
• scikit-learn>=1.0.2
• scikit-image>=0.18.1
• rpy2>=3.5.2
• seaborn>=0.11.0
• attrs>=21.4.0
• beartype>=0.10.0
• ordered_set>=4.0.2
• statsmodels>=0.12.2
• diptest>=0.4.2
• typing_extensions>=4.2.0

User install in a Conda environment

Create a conda environment named myscludamenv with python3.8 and scludam installed

conda create --name myscludamenv python=3.8 pip --yes
conda activate myscludamenv
python -m pip install scludam

User install

Install from PyPi: python -m pip install scludam

Dev install

Clone the repo and run the following command in the cloned directory (with your environment activated): python -m pip install -e .[dev]