Is this project an undergraduate, graduate, or faculty project?
Undergraduate
Project Type
individual
Campus
Daytona Beach
Authors' Class Standing
Grace Henry, Junior
Lead Presenter's Name
Grace Henry
Lead Presenter's College
DB College of Arts and Sciences
Faculty Mentor Name
Ted von Hippel
Abstract
This study uses BASE-9, a software tool designed for stellar age analysis, to investigate the ages of exoplanet host stars. We found the stars through a query of the NASA Exoplanet Archive based on the orbital distance of their exoplanets. The habitable zone (HZ) approach we use [2] analyzes the effective temperature and luminosity of stars between 2600 K to 7200 K. Single star systems with that effective temperature range and planets in the calculated HZ were added to our host star candidate set. From there, we used the BASE-9 (Bayesian Analysis of Stellar Evolution) software suite to derive ages for each system using measured photometric and prior trigonometric parallax values. With an age range, we explore the relationship between stellar age and exoplanetary habitability. By comparing our results with stellar isochrone models and prior literature, we analyze exoplanetary properties and how system age may impact planetary qualities.
Did this research project receive funding support (Spark, SURF, Research Abroad, Student Internal Grants, Collaborative, Climbing, or Ignite Grants) from the Office of Undergraduate Research?
Yes, SURF
Aging Popular Exoplanet Host Stars; A Bayesian Analysis of Stellar Evolution
This study uses BASE-9, a software tool designed for stellar age analysis, to investigate the ages of exoplanet host stars. We found the stars through a query of the NASA Exoplanet Archive based on the orbital distance of their exoplanets. The habitable zone (HZ) approach we use [2] analyzes the effective temperature and luminosity of stars between 2600 K to 7200 K. Single star systems with that effective temperature range and planets in the calculated HZ were added to our host star candidate set. From there, we used the BASE-9 (Bayesian Analysis of Stellar Evolution) software suite to derive ages for each system using measured photometric and prior trigonometric parallax values. With an age range, we explore the relationship between stellar age and exoplanetary habitability. By comparing our results with stellar isochrone models and prior literature, we analyze exoplanetary properties and how system age may impact planetary qualities.