“…The optimization procedure was reduced to the mathematical problem of determining the values of significant input factors (X4, X9, X10) in the range of values from 0.9 to 1.1 in relation to the nominal value, providing a decrease in the temporal resolution by 10% in relation to the nominal. Optimization was carried out using a modified Levenberg-Marquardt algorithm, which is used to calculate the response surface describing the dependence between the input and output parameters in an iterative process [14,22,23]. As a result of optimization, the values of the design parameters ensuring a decrease in the temporal resolution by 277 ns, which is 15.5% of the nominal value (X4 = 300 µm, X9 = 10.8 µm, X10 = 16.2 µm), were obtained.…”