Two methods exist to predict physics signal: Time Convolution Method (TCM) and Response Transformation Method (RTM). Both rely on knowledge of 6 parameters (see Fig. 3):
Based on the model that the physics pulse Pp(t) can be expressed as a convolution of the calibration pulse Pc(t) and the convolution function G(t-t'), which takes into account the differences between the injection points for the physics and calibration pulses.
The last 3 parameters, τ0, τr, Tdiff are free and are found by fitting the predicted physics signal to the real physics pulse. Factor Mphys/Mcali
is taken into account in the fit. τcali and fstep are fixed (measured directly).
LArCalorimeter/LArCalibUtils/LArTCMPhysWavePredictor
is the corresponding offline simulation
package.Extract τcali, fstep, τ0, τr by using different transformation functions:
τcali is found through the exponential fit to the tail of the calibration signal.
τ 0 is obtained through the cosine response analysis.
Note: LArCalorimeter/LArCalibUtils/LArRTMPhysWavePredictor
is the corresponding offline simulation
package.
τcali and fstep
may be found by minimimzing the Uout^cali - Vout^cali
difference: