fit_decaying_cosine

forest.benchmarking.analysis.fit_decaying_cosine(x: numpy.ndarray, y: numpy.ndarray, weights: numpy.ndarray = None, param_guesses: tuple = (0.5, 10, 0.0, 0.5, 5)) → lmfit.model.ModelResult

Fit experimental data x, y to an exponentially decaying sinusoid.

Parameters:

• x – The independent variable, e.g. depth or time
• y – The dependent variable, e.g. probability of measuring 1
• weights – Optional weightings of each point to use when fitting.
• param_guesses – initial guesses for the parameters

Returns:

a lmfit Model