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
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.
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 python3.11 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]