# alg_decay_fit¶

tenpy.tools.fit.alg_decay_fit(x, y, npts=5, power_range=0.01, 4.0, power_mesh=[60, 10])[source]

Fit y to the form a*x**(-b) + c.

Returns a triplet [a, b, c].

npts specifies the maximum number of points to fit. If npts < len(x), then alg_decay_fit() will only fit to the last npts points. power_range is a tuple that gives that restricts the possible ranges for b. power_mesh is a list of numbers, which specifies how fine to search for the optimal b. E.g., if power_mesh = [60,10], then it’ll first divide the power_range into 60 intervals, and then divide those intervals by 10.