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Deep Embedded Clustering for Open Cluster Characterization

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Deep Embedded Clustering for Open Cluster Characterization

Table of Contents

Python Package

The package developed for this project is available inside the cdalvaro/ directory.

It contains packages for:

  • Downloading data from Gaia DR2 database.
  • Retrieving data from the PostgreSQL database.
  • Making plots and graphics.
  • Modeling data structures.

Downloader

Data download can be started by running the following command:

(Docker is required for this purpose)

cd src
docker-compose up --detach

A PostgreSQL will be initiated and a container will start to download Gaia data.

gaia_downloader | INFO: Loading OpenClust catalogue ...
gaia_downloader | INFO: OpenClust catalogue loaded!
gaia_downloader | INFO: ⏱ Downloading Melotte 25 stars from Gaia DR2 ...
gaia_downloader | INFO: Query finished. [astroquery.utils.tap.core]
gaia_downloader | INFO: Downloaded 433996 stars for Melotte 25

Environment Variables

The following environment variables can be established for tuning the downloader container:

Parameter Description
GAIA_USER Gaia DR2 username for login into https://gea.esac.esa.int/archive/. Disabled by default.
GAIA_PASS Gaia DR2 password. Disabled by default.

Notebooks

Jupyter Notebooks used for data analysing and model training are available inside the notebooks directory.

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