Matching Stellar Models to Oscillation Data
Author(s) -
D. B. Guenther,
Kevin I. T. Brown
Publication year - 2004
Publication title -
the astrophysical journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.376
H-Index - 489
eISSN - 1538-4357
pISSN - 0004-637X
DOI - 10.1086/379644
Subject(s) - physics , oscillation (cell signaling) , astrophysics , luminosity , mode (computer interface) , data set , measure (data warehouse) , star (game theory) , stellar mass , matching (statistics) , stars , star formation , statistics , data mining , galaxy , genetics , mathematics , computer science , biology , operating system
We describe a method to match stellar models to a set of low-l p-mode oscillation frequencies. The method provides a quality of fit measure similar to that obtained from a χ2 fit. With a sufficiently dense grid of stellar models, the method can determine the best-fitting model to the oscillation data as constrained solely by the oscillation data. That is to say, the method can be used to constrain the mass, age, composition, surface temperature, and luminosity of a star from the oscillation data. We evaluate the method on solar data and apply the method to the recently observed oscillation data for α Cen and α UMa.
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