scludam 1.0.10

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

Included modules and features are:

• fetcher: Query builder for easy access to GAIA catalogues data, functions to get catalogues and SIMBAD objects information.

• stat_tests: Set of three 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 and parameter values.

• detection: Detection of star clusters in a sample using an improved version of the Star Counts algorithm.

• shdbscan: Soft clustering based on the HDBSCAN algorithm.

• hkde: Kernel density estimation with per-observation or per-dimension variable bandwidth.

• membership: Membership probability estimation based on hkde smoothing.

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

• plots: Plot detection and membership estimation results alongside SIMBAD objects for better result interpretation.

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Requirements

Python 3.9+ is needed to run SCLUDAM. It is recommended to install scludam in a separate environment created to avoid dependencies issues with other preinstalled packages in the base environment. The following dependencies will be installed along with SCLUDAM:

• numpy>=1.26.4,<2.0
• matplotlib>=3.9.4,<4.0
• scipy>=1.13.1,<2.0
• astropy>=6.0.1,<7.0
• astroquery==0.4.6
• pandas>=2.3.1,< 3.0
• hdbscan>=0.8.40
• joblib>=1.1.0
• scikit-learn>=1.1.3
• scikit-image>=0.24.0
• seaborn>=0.13.2,<0.14
• statsmodels>=0.12.2
• diptest>=0.10.0,<0.11.0

User install in a Conda environment (recommended)

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

conda create --name myscludamenv python=3.11 pip --yes
conda activate myscludamenv
python -m pip install scludam

Update scludam in a Conda environment

conda activate myscludamenv
python -m pip install -U scludam
python -m pip show scludam

Simple user install

Install from PyPi: python -m pip install scludam

Simple user update

Update from PyPi: python -m pip install -U 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]