Using Python to Study Rotational Velocity Distributions of Hot Stars
Gustavo Bragança
Simone Daflon
Katia Cunha
Thomas Bensby
Sally Oey
Gregory Walth
Stars are fundamental pieces that compose our Universe. By
studying them we can better comprehend the environment in which we
live. In this work, we have studied a sample of 350 nearby O and B
stars and have characterized them in aspects of their multiplicity,
temperature, spectral classifications, and projected rotational
velocity.
Python is a robust language with a steep learning curve, i.e. one
can make rapid progress with it. In this proceeding, we will
present how we used Python in our research.
Astronomy, Stars, Galactic Disk
DOI10.25080/Majora-8b375195-005