Internet Archive Scholar

The SIRIUS code: Statistical Inference of physical paRameters of sIngle and mUltiple populations in Stellar clusters

Stefano Souza, R.A.P. Oliveira, L. O. Kerber, B. Barbuy
2019 Zenodo  

Preserved Fulltext

fulltext thumbnail
Web Archive Capture PDF (2.9 MB)
https://web.archive.org/web/20220117124108/https://zenodo.org/record/2595408/files/GBX2018_Poster_Souza.pdf

A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL. The file type is application/pdf.

Globular clusters (GCs) are fundamental pieces to understand the formation and evolution of the Milky Way. From the color-magnitude diagrams it is possible to get physical parameters such as age, distance, reddening, proper motions, among others. The wealth of information available in high quality photometric, spectroscopic and/or astrometric data, allows to perform a comprehensive and self-consistent analysis combining different data and techniques. We are developing a python package based on
more » ... Bayesian approach, that we named SIRIUS, to extract as much as possible information of a stellar cluster, in general. In addition, SIRIUS can characterize both simple and multiple stellar populations in a stellar cluster. We have tested the SIRIUS validity, analyzing HST, VLT, Gemini, VVV, and Gaia DR2 data of bulge GCs.
doi:10.5281/zenodo.2595407 fatcat:rhoglzx46fgp7ownln6ay6zwvu
Open Access
Citation

Stefano Souza, R.A.P. Oliveira, L. O. Kerber, B. Barbuy. "The SIRIUS code: Statistical Inference of physical paRameters of sIngle and mUltiple populations in Stellar clusters." Zenodo (2019)