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Using Python to Study Rotational Velocity Distributions of Hot Stars

Gustavo Bragança
Observatório Nacional, Brazil

Simone Daflon
Observatório Nacional, Brazil

Katia Cunha
Observatório Nacional, Brazil; National Optical Astronomy Observatory, University of Arizona, U. S. A.

Thomas Bensby
Lund Observatory, Sweden

Sally Oey
University of Michigan, U. S. A.

Gregory Walth
Steward Observatory, U. S. A.

Abstract

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.

Keywords

Astronomy, Stars, Galactic Disk

Bibtex entry

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