CalibrationResults¶

lumicks.pylake.force_calibration.power_spectrum_calibration.CalibrationResults

class CalibrationResults(model, ps_model, ps_data, params, results)¶

Power spectrum calibration results.

model¶

Model used for calibration.

Type: lumicks.pylake.force_calibration.power_spectrum_calibration.CalibrationModel

ps_model¶

Power spectrum of the fitted model.

Type: PowerSpectrum

ps_data¶

Power spectrum of the data that the model was fitted to.

Type: PowerSpectrum

params¶

Dictionary of input parameters.

Type: dict

results¶

Dictionary of calibration results.

Type: dict

plot()¶: Plot the fitted spectrum

plot_spectrum_residual()¶

Plot the residuals of the fitted spectrum.

This diagnostic plot can be used to determine how well the spectrum fits the data. While it cannot be used to diagnose over-fitting (being unable to reliably estimate parameters due to insufficient information in the data), it can be used to diagnose under-fitting (the model not fitting the data adequately).

In an ideal situation, the residual plot should show a noise band around 1 without any systematic deviations.