Robot GALAH tweets once per hour, giving the details of a random star from the Third Data Release of the GALAH Survey.
CHIRP!— Robot GALAH (@RobotGALAH) July 12, 2021
We observed Gaia eDR3 5687199778430891392 in the constellation of Hydra on 27 Mar 2016 during the main GALAH survey.
It is 1.2 kpc from the Sun, aged 8.3 Gyr, and is 1.1 solar masses.
Find out more about this star https://t.co/rIMaKOQBsy pic.twitter.com/v1OuVOCHCz
The bot is run from a Raspberry Pi 2 Model B. It is written in Python, because that is my language of choice. The code for the bot is found on GitHub.
Each hour, a random star is selected from the GALAH DR3 catalogues. There is then a check of SIMBAD astronomical database at the Centre de Données astronomiques de Strasbourg (CDS) to find if there an entry for the star and a ‘‘nice’’ name for the star. The tweet text is composed that includes when we observed the star, which constellation it is found in, its distance, age, and mass, and a link the CDS Portal.
For the plots of the stellar paramaters and orbital properties, it is basically just a bunch of bespoke
matplotlib convenience functions that I wrote for plotting GALAH data. I use
mpl-scatter-density to make the background distributions.
To retrieve a colour JPEG for the 15 arcmins around the star, I use a combination of tools provided by CDS: MOC Server tool and
hips2fits. The MOC Server identifies the list of sky surveys that the star is found in, and then
hips2fits is used to download the image from the ‘‘best’’ survey.