Using Python to Study Rotational Velocity Distributions of Hot Stars
Authors: Bragança, Gustavo, Observatório Nacional; Daflon, Simone, Observatório Nacional
Our research is focused in characterizing the stellar properties of hot stars in the Galactic plane. Recently, we have been working with a sample of nearby hot stars with the intent to study the sample projected rotational velocity distribution. With this purpose, we have sub-selected our sample using the stars birthplace as criteria. Our conclusions were that the rotational velocity distributions seems to be different between subsamples, but the reasons for these are still dubious.
The observed spectra were reduced using IRAF, that "is the Image Reduction and Analysis Facility, a general purpose software system for the reduction and analysis of astronomical data." It is not written in python, but there is a package called pyRAF that allows controls on IRAF tasks. With this python package, we were able to speed up the process of spectra reduction by putting several IRAF tasks in one script.
Throughout our research, we checked if the stars subsamples from different birthplaces belonged for the same population. Thus, we had extensively used the Kolmogorov-Smirnov hypothesis test, and this is coded inside the 'stats' package of Scipy.
Also, we choose the Matplotlib package as our plotting tool.
Nowadays, we have been using python and Scipy to write a suite that will allow to obtain stellar parameters by spectral synthesis on a semi-automatic way. We are still working on the methodology, checking its robustness and also verifying if the models that generate the synthetic electromagnetic spectra of star are consistent with observational data. For these tests we are using python and its available libraries.