Computer Science – Performance
Scientific paper
Dec 1997
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1997aas...191.1207h&link_type=abstract
American Astronomical Society, 191st AAS Meeting, #12.07; Bulletin of the American Astronomical Society, Vol. 29, p.1228
Computer Science
Performance
Scientific paper
We present a fully quantitative and objective multi-isochrone fitting technique, which is able to simultaneously determine the distance, extinction and the star formation history of a single or multi-population stellar system from color-magnitude observations. The fitting process is constructed as a maximum likelihood problem and is solved using the Genetic Algorithms Global Optimization technique. Extensive simulations show that the fitting method is unbiased, self-consistent and remarkably accurate. With a typical dataset of two colors, our simulation shows that the method can recover distance and extinction (i.e., E(B-V)) within 0.05 and 0.01 mag, respectively; while the star formation history (expressed as a distribution of stars in the age-abundance space) can be determined within about ten percent with reasonable age-abundance resolutions. The performance of the method depends little on the presence of some familiar diagnostic features like the horizontal branch and the main-sequence turnoff in the dataset. It is also very robust against outliers. Application of this method in combination with the Padua stellar evolution tracks to a dataset of a stellar field in the Large Magellanic Cloud (LMC) yields a best fitting solution which shows two primary star formation periods from 10 to 5 Gyr and 2.5 Gyr to 300 Myr, respectively, with a clear trend that the later formed stars have progressively higher metallicities. The method also predicts a distance modulus of 18.50 +/- 0.05 mag, and a mean extinction of E(B-V) = 0.05 mag in the field.
Gallagher John S. III
Han Mincheol
Hoessel John G.
No associations
LandOfFree
A Maximum Likelihood Multi-Isochrone Fitting Technique does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with A Maximum Likelihood Multi-Isochrone Fitting Technique, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and A Maximum Likelihood Multi-Isochrone Fitting Technique will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-1173026