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Sure, I'd be happy to provide you with a tutorial on fitting multiple Gaussians using the curve_fit function from the SciPy library in Python 3.x. In this tutorial, I'll guide you through the process step by step and provide a code example.
Fitting multiple Gaussians to data is a common task in various scientific and engineering applications. SciPy's curve_fit function can be used to fit a user-defined function to data, including a sum of multiple Gaussians.
Make sure you have SciPy and other required libraries installed. If not, you can install them using:
In this example, let's consider fitting two Gaussians. You can adjust the function based on your needs.
This function represents the sum of two Gaussians, each defined by amplitude (a), mean (mu), and standard deviation (sigma).
This code generates a plot with the original data points ('bo') and the fitted curve ('r-'). Adjust the initial guess and the number of Gaussians in the function according to your specific case.
That's it! You've successfully fit multiple Gaussians to your data using the curve_fit function from SciPy.
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