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PRODID:UW-Madison-Physics-Events
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SEQUENCE:0
UID:UW-Physics-Event-9439
DTSTART:20251023T203000Z
DTEND:20251023T213000Z
DTSTAMP:20260413T084915Z
LAST-MODIFIED:20250930T112703Z
LOCATION:4421 Sterling Hall
SUMMARY:Precise Stellar Properties via Bayesian Analysis of Stellar Ev
 olution \, Astronomy Colloquium\, Prof. Ted von Hippel\, Embry-Riddle 
 Aeronautical University
DESCRIPTION:While it is well known that astronomers can use stellar mo
 dels to infer the ages of open and globular clusters\, as well as popu
 lations of white dwarfs\, what is often not appreciated is that with p
 recision astrometry and photometry\, we can frequently infer the ages 
 of individual stars.  Individual stellar ages are themselves valuable\
 , for instance for exoplanet host stars\, and these individual stellar
  ages can be aggregated for stellar population studies.  I will discus
 s our Bayesian approach to comparing stellar evolution models to data 
 to infer stellar ages\, and also speak briefly about how this approach
  can be used to derive highly precise stellar cluster properties\, inf
 er binary mass ratios\, and even study multi-component globular cluste
 rs.  My group’s BASE-9 code\, upon which this work is based\, is ope
 n-source and available on GitHub\, and for those interested in incorpo
 rating it into their research\, we are happy to provide training and s
 upport.
URL:https://www.physics.wisc.edu/events/?id=9439
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