![Data Fitting in Python Part II: Gaussian & Lorentzian & Voigt Lineshapes, Deconvoluting Peaks, and Fitting Residuals | Emily Grace Ripka Data Fitting in Python Part II: Gaussian & Lorentzian & Voigt Lineshapes, Deconvoluting Peaks, and Fitting Residuals | Emily Grace Ripka](http://emilygraceripka.com/static/blog/181113_fittingPeaks/img/fit2Gaussian_peaks.png)
Data Fitting in Python Part II: Gaussian & Lorentzian & Voigt Lineshapes, Deconvoluting Peaks, and Fitting Residuals | Emily Grace Ripka
Physics Page - In mathematics, a Gaussian function, often simply referred to as a Gaussian, is a function of the form: f(x) = e -(x-b)^2/2c^2 for arbitrary real constants a, b and
![maximum likelihood - Is least squares the standard method to fit a 3 parameters Gaussian function to some x and y data? - Cross Validated maximum likelihood - Is least squares the standard method to fit a 3 parameters Gaussian function to some x and y data? - Cross Validated](https://i.stack.imgur.com/w78zA.jpg)
maximum likelihood - Is least squares the standard method to fit a 3 parameters Gaussian function to some x and y data? - Cross Validated
![Data Fitting in Python Part II: Gaussian & Lorentzian & Voigt Lineshapes, Deconvoluting Peaks, and Fitting Residuals | Emily Grace Ripka Data Fitting in Python Part II: Gaussian & Lorentzian & Voigt Lineshapes, Deconvoluting Peaks, and Fitting Residuals | Emily Grace Ripka](http://emilygraceripka.com/static/blog/181113_fittingPeaks/img/fit2Gaussian_peaks_resid.png)