lib.Calibration.Qlinearity module

lib.Calibration.Qlinearity.logistic(x, pars)

Logistic function used in Minuit fitting.

Parameters:

• x (float or array-like) – Input values.

• pars (array-like) –

  Parameters of the model:

  • pars[0] : Amplitude in Y of the efficiency curve

  • pars[1] : Central value in x

  • pars[2] : Width in x

  • pars[3] : Offset in y

Returns:

Value of the logistic function.

Return type:

float or ndarray

lib.Calibration.Qlinearity.shift_src(xyper, pars)

Shift and scale a periodic signal.

Parameters:

• xyper (tuple) –

  Input data:

  • xyper[0] : x values

  • xyper[1] : y values

  • xyper[2] : period of the signal

• pars (array-like) –

  Parameters:

  • pars[0] : Amplitude scaling

  • pars[1] : Offset

  • pars[2] : Shift in x

Returns:

Shifted and scaled signal.

Return type:

ndarray

lib.Calibration.Qlinearity.sim_generator_power(time, amplitude, offset, frequency, phase, rf_freq=150.0, finterp_Vin='', finterp_freq='')

Simulate the calibrated power output of the source.

Parameters:

• time (float or array-like) – Time [s].

• amplitude (float) – Peak-to-peak amplitude of the generator signal [V].

• offset (float) – Offset of the generator signal [V].

• frequency (float) – Modulation frequency [Hz].

• phase (float) – Initial phase.

• rf_freq (float, optional) – RF frequency (default is 150 GHz).

• finterp_Vin (callable, optional) – Interpolation function for Vin.

• finterp_freq (callable, optional) – Interpolation function for frequency.

Returns:

Calibrated signal.

Return type:

ndarray

lib.Calibration.Qlinearity.sine(x, pars)

Sine function wrapper for Minuit fitting.

Parameters:

• x (float or array-like) – Input values.

• pars (array-like) –

  Parameters:

  • pars[0] : Peak-to-peak amplitude

  • pars[1] : Modulation frequency [Hz]

  • pars[2] : Phase shift

  • pars[3] : Offset

Returns:

Sine signal.

Return type:

float or ndarray

lib.Calibration.Qlinearity.sinesat(x, pars)

Model of a calibrated modulated source signal.

Parameters:

• x (float or array-like) – Input values.

• pars (array-like) –

  Parameters:

  Calibration: - pars[0] : Calibration amplitude - pars[1] : Calibration offset

  Modulation: - pars[2] : Peak-to-peak amplitude [V] - pars[3] : Period [s] - pars[4] : Phase - pars[5] : Offset [V]

Returns:

Modeled signal.

Return type:

ndarray

lib.Calibration.Qlinearity.source_cal(Vin, freq=150.0, finterp_Vin='', finterp_freq='')

Interpolate the source calibration curve.

Parameters:

• Vin (float or array-like) – Input voltage [V].

• freq (float, optional) – RF frequency in GHz (default is 150).

• finterp_Vin (callable, optional) – Interpolation function returning the fraction of power as a function of Vin. If not provided, it is computed internally.

• finterp_freq (callable, optional) – Interpolation function returning the maximum power as a function of frequency. If not provided, it is computed internally.

Returns:

Interpolated value(s) at (Vin, freq).

Return type:

ndarray