lect13 - UCF Physics: AST 5765/4762: (Advanced)...

Info iconThis preview shows pages 1–2. Sign up to view the full content.

View Full Document Right Arrow Icon
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
Background image of page 1

Info iconThis preview has intentionally blurred sections. Sign up to view the full version.

View Full DocumentRight Arrow Icon
Image of page 2
This is the end of the preview. Sign up to access the rest of the document.

Page1 / 2

lect13 - UCF Physics: AST 5765/4762: (Advanced)...

This preview shows document pages 1 - 2. Sign up to view the full document.

View Full Document Right Arrow Icon
Ask a homework question - tutors are online