GAIA-HR 1.1.0

Python package to plot Hertzsprung-Russel diagrams from gdr3 data

GAIA_HR

Library that plots HR diagram from GAIA dataset

Motivation

This package queries data and plots Hertzsprung-Russell diagram for a user specified region of the sky (ra, dec, radius) from Gaia data release 3 [1]. It also compares a user specified parameter of different stars in the region using a colormap.

Installation

The package is installable on Python 3.x. To install the package, simply write

pip install Gaia_HR

Otherwise, clone this repo, and follow the below specified commands

cd Gaia_HR

pip install -e .

A list of dependencies is available in requirements.txt

Additional Information

Gaia HR diagrams is valid when the the relative precision on parallax is lower than 20%. This uncertainity has been included by using the parameter "parallax_over_error > 20" during the query [2].

This work has made use of data from the European Space Agency (ESA) mission Gaia (https://www.cosmos.esa.int/gaia), processed by the Gaia Data Processing and Analysis Consortium (DPAC, https://www.cosmos.esa.int/web/gaia/dpac/consortium). Funding for the DPAC has been provided by national institutions, in particular the institutions participating in the Gaia Multilateral Agreement [1, 3].

This research has made use of the VizieR catalogue access tool, CDS, Strasbourg, France [4]. The original description of the VizieR service was published in 2000, A&AS 143, 23.

References:

1. Gaia Data Release 3 - Summary of the content and survey properties. Gaia Collaboration, A. Vallenari, et al. A&A 674 A1 (2023). DOI: 10.1051/0004-6361/202243940

2. Gaia Data Release 2 - Observational Hertzsprung-Russell diagrams. Gaia Collaboration, C. Babusiaux, et al. A&A 616 A10 (2018). DOI: 10.1051/0004-6361/201832843

3. The Gaia mission. Gaia Collaboration, T. Prusti, et al. A&A 595 A1 (2016). DOI: 10.1051/0004-6361/201629272

4. The VizieR database of astronomical catalogues. F. Ochsenbein, P. Bauer, J. Marcout. Astron. Astrophys. Suppl. Ser. 143 (1) 23-32 (2000). DOI: 10.1051/aas:2000169