The SRY scan data acquired in the previous experiment (klog:37138) were divided into segments according to the time intervals between changes in the slope of the triangular waveform used for frequency modulation, and each segment was fitted individually. When the same initial values for the fitting parameters were used for all segments, some of the fits failed to converge properly. However, these problematic cases could be fitted successfully by changing the initial parameter values, suggesting that individual initial values should be assigned for each data segment. Using identical initial values for all segments, the resulting SRY length was found to be 64.94 ± 0.02 m.
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First, the OMC REFL PD signal data acquired in the previous experiment (klog:37138) were normalized. The signal used for frequency modulation was converted from counts to frequency using the conversion factors of 610 μV/count and 15 MHz/V. Next, the data were divided according to the intervals between changes in the slope of the triangular waveform used for frequency modulation, and each segment was fitted using scipy.optimize.curve_fit. The fitting function was
Φ=4πL(f+f_offset)/c
P_t=A/(1+B(sin(Φ/2))^2)where f is the modulated frequency and c is the speed of light. The fitting parameters were L, f_offset, A, and B. The initial values of the fitting parameters were set as follows:
L=65 m (the expected SRY length),
f_offset=282 THz (the laser frequency),
A = the maximum value of the OMC REFL PD signal within the fitting interval,
B=6.48, corresponding to 4×finesse/π^2 for an assumed SRY finesse of 4.In addition, near the times at which the slope of the triangular modulation waveform changed, the frequency derived from the recorded data might differ from the actual frequency variation. Therefore, for each interval between successive slope changes, the first one-sixth and the last one-sixth of the data were excluded from the fitting procedure. The fit corresponding to the smallest uncertainty in the SRY length is shown in Fig. 1, while the fit corresponding to the largest uncertainty is shown in Fig. 2. The fit in Fig. 1 appears satisfactory, whereas the fit in Fig. 2 appears poor. Although the fit in Fig. 2 can be improved by changing the initial parameter values, doing so causes some other datasets to fit poorly. Therefore, it is likely necessary to choose the initial parameter values individually for each dataset. The SRY lengths obtained from all fits are shown in Fig. 3. Here, up sweep refers to the intervals in which the slope of the triangular modulation waveform was positive, while down sweep refers to the intervals in which the slope was negative. The mean values and standard errors calculated from all fitted SRY lengths are:
Up sweep: 64.89±0.03 m
Down sweep: 64.99±0.02 m
→Overall: 64.94±0.02 m