Computer Science – Performance
Scientific paper
Jan 2009
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2009aas...21346707r&link_type=abstract
American Astronomical Society, AAS Meeting #213, #467.07; Bulletin of the American Astronomical Society, Vol. 41, p.415
Computer Science
Performance
Scientific paper
We report on the development of TA-DA, a general Tool for Astrophysical Data Analysis. TA-DA is intended as a powerful, integrated web service to significantly simplify the process of comparing calibrated astrophyiscal data with theoretical stellar evolutionary models. It is built upon the Synphot (for synthetic photometry) and Chorizos (a Bayesian multi-parametric chi-squared fitting algorithm) packages. TA-DA will allow to easily and reliably compute a variety of fundamental observables including synthetic photometry from theoretical spectral energy distributions, color corrections, and bandpass transformations. It will also support the cross-calibration of photometry from different archives, analysis of individual SEDs, statistical analysis of HR diagrams and self-consistent prediction of astronomical performance.
Bushouse Howard
Diaz Rafael
Maíz-Apellániz Jesús
Miller Warner
Postman Marc
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