Simulate drift on stack
To apply a simulated drift to a time series a drift in x and y can be defined as a polynomial with the first and second order coefficients a1 and a2 and gaussian noise with the amplitude n.
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To apply a simulated drift to a time series a drift in x and y can be defined as a polynomial with the first and second order coefficients a1 and a2 and gaussian noise with the amplitude n.