[Yuhang, Matteo L., Eleonora]
We have summarized the lock/unlock losses measurement done in the past and plotted them together (pic 1, 2).
We analyzed 11 set of data.
Each measurement is done taking a set of lock/unlocks and computing the reflectivity as the ratio between the mean of two consecutive lock and unlock period.
The error has been computed propagating of the error of each value of the ratio (taken as two time the standard deviation)
Since for each set we have many lock/unlock we have done a weighted mean of the refelctvities found like this:
and for the uncertainty we have used:
Below the results are reported:
| losses (ppm) | relative error |
| 45.4 +/- 10.5 | 0.23 |
| 43.4+/- 14.4 | 0.33 |
| 48.9+/- 23.9 | 0.48 |
| 60.4+/- 12.8 | 0.21 |
| 45.6+/- 10.0 | 0.22 |
| 58.7+/- 11.4 | 0.19 |
| 47.9+/- 6.7 | 0.14 |
| 74.2+/- 8.9 | 0.12 |
| 52.4+/- 12.2 | 0.23 |
| 58+/- 8.0 | 0.14 |
| 38+/- 10.2 | 0.27 |
The mean of these measurements gives a reflectivity of 0.856, corresponding to a about 53 ppm of losses. (I'm not sure about the best way to compute the error on this number)
The data and the matlab code for the analyisis can be found here:
https://drive.google.com/open?id=1QW5Ym1lkgNS5FvIgFqtM6UC7fXNnXmym
