Is this project an undergraduate, graduate, or faculty project?
Undergraduate
individual
What campus are you from?
Daytona Beach
Authors' Class Standing
Kian Greene, Junior
Lead Presenter's Name
Kian Greene
Faculty Mentor Name
Richard L. Pearson III
Abstract
Epsilon Aurigae is a long-period eclipsing binary consisting of a F0Ia primary star and a dust-shrouded secondary object, likely a main-sequence B5V star. Further information about the system has long been marred due to high uncertainty in its parallax. Using Hyperion, a Monte-Carlo Radiative Transfer (MCRT) Code, we attempt to corroborate previous models of the system by generating models of our own from various parallax measurements. We evaluate the plausibility of these models according to constraints given by accepted values of various stellar properties, including mass, temperature, and luminosity. Spectral Energy Distributions (SEDs) will also be used as an analytic comparative tool.
Keywords: stars: individual (ε Aurigae) — binaries: eclipsing — planetary systems —methods: analytical — methods: numerical
Did this research project receive funding support from the Office of Undergraduate Research.
No
Investigating The Epsilon Aurigae System Through Monte Carlo Radiative Transfer
Epsilon Aurigae is a long-period eclipsing binary consisting of a F0Ia primary star and a dust-shrouded secondary object, likely a main-sequence B5V star. Further information about the system has long been marred due to high uncertainty in its parallax. Using Hyperion, a Monte-Carlo Radiative Transfer (MCRT) Code, we attempt to corroborate previous models of the system by generating models of our own from various parallax measurements. We evaluate the plausibility of these models according to constraints given by accepted values of various stellar properties, including mass, temperature, and luminosity. Spectral Energy Distributions (SEDs) will also be used as an analytic comparative tool.
Keywords: stars: individual (ε Aurigae) — binaries: eclipsing — planetary systems —methods: analytical — methods: numerical