catalight.equipment.light_sources.nkt_analyze_calibration.determine_fits
- catalight.equipment.light_sources.nkt_analyze_calibration.determine_fits(corrected_data, deg=2)
Convert measured power values at different settings to fit values.
Takes in measured power values (mW) as a function of power setpoint (%) and wavelength (nm) and performs polynomial fitting procedure for each wavelength. Returns the fit parameters at each wavelength to be used in power prediction.
- Parameters:
corrected_data (pandas.DataFrame) – wavelength x power (%) dataframe of power measurements (mW).
deg (int, optional) – Degree of polynomial to use for fit, by default 2
- Returns:
Fit parameters for each wavelength. Index is wavelength. Columns are [fit params, relative error, covariance matrix] Each item within the DataFrame is a list itself.
- Return type: