Author Information

Gabrielle LavalleeFollow

individual

What campus are you from?

Daytona Beach

Authors' Class Standing

Gabrielle Lavallee, Senior

Lead Presenter's Name

Gabrielle Lavallee

Faculty Mentor Name

Ted von Hippel

Abstract

Accurately determining stellar parameters of star clusters is necessary for improving our understanding of stellar evolution as well as the star formation history of the Milky Way. This project investigates the precision and accuracy of age, distance, reddening, and metallicity for the open cluster NGC 7789 using the Bayesian Analysis of Stellar Evolution (BASE-9) software suite. During the first phase of the study, we ran individual stars through BASE-9 to derive posterior distributions for their stellar parameters. The second phase focuses on developing a Python-based graphical user interface (GUI) to aid in visualizing BASE-9 output files. The GUI generates scatter plots and probability density histograms that allow for efficient quality assessments of individual stars. Overall, the project aims to improve accessibility in analyzing BASE-9 results and reduce manual coding while enhancing interpretations of stellar posterior distributions.

Did this research project receive funding support from the Office of Undergraduate Research.

No

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Bayesian Analysis of NGC 7789

Accurately determining stellar parameters of star clusters is necessary for improving our understanding of stellar evolution as well as the star formation history of the Milky Way. This project investigates the precision and accuracy of age, distance, reddening, and metallicity for the open cluster NGC 7789 using the Bayesian Analysis of Stellar Evolution (BASE-9) software suite. During the first phase of the study, we ran individual stars through BASE-9 to derive posterior distributions for their stellar parameters. The second phase focuses on developing a Python-based graphical user interface (GUI) to aid in visualizing BASE-9 output files. The GUI generates scatter plots and probability density histograms that allow for efficient quality assessments of individual stars. Overall, the project aims to improve accessibility in analyzing BASE-9 results and reduce manual coding while enhancing interpretations of stellar posterior distributions.

 

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