lect13 - UCF Physics AST 5765/4762(Advanced Astronomical...

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UCF Physics: AST 5765/4762: (Advanced) Astronomical Data Analysis Fall 2009 Lecture Notes: 13. General Fitting 1 Check In: 12:30 — 12:35, 5 min Questions before we start? Level check 2 General Linear Fitting: : — :, 10+5 min First example extends the line fit to linear scaling of arbitrary models This is a quick-and-dirty method, useful because everyone has a linfit routine Take each prediction of a nominal model, Multiply by a constant, Add another constant 2 free parameters, like a line fit Can use linear fitting routine to find parameters Calculate a “nominal” model Treat x as the parameter in a parametric equation Calculate model for x values in data Pair those with y values in data Plot d = y data vs. m = y model No error in m , but error in d So, d goes on vertical axis Fit a line! Slope is how much you multiply model by Intercept is how much you add to model If model has just multiply parameter, intercept is used as a final background fit

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This note was uploaded on 11/09/2009 for the course AST 4762 taught by Professor Harrington during the Fall '09 term at University of Central Florida.

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lect13 - UCF Physics AST 5765/4762(Advanced Astronomical...

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