Trent, Georgia, and Craig

We came in to take OMC scans to determine the finesse. We wanted to take scans with the 9 and 45 MHz sidebands on and off. 

Setup:
- Took the IMC offline and ran the dark offset scripts [/opt/rtcds/userapps/release/isc/h1/scripts/dark_offsets/dark_offsets_exe.py]
- Turned on DC3 and DC4 by turning on the inputs (left on during measurements)
- Turned on the OMC ASC by changing the master gain from 0 to 0.025 (left on during measurements)
- Turned off the offset on OMC PZT2
- Ran an OMC scan [/ligo/home/trent.gayer/OMC_scans/2023_03_03_single_bounce_omc_scan.xml]

Analysis:
- Analyzed the scan with the following command [python3 /ligo/gitcommon/labutils/omc_scan/OMCscan.py 1393538828 95 "2W single bounce side bands nominal (45 @ 27.0dB, 9 @ 23.4dB)" "single bounce" --verbose --make_plots]. The data looks strange on the log scale because the signal goes negative. This script generated the first attached plot.
- Added a dodgey little offset (0.001) to OMC-dcpd_sum to fix the negative numbers
- We changed the duration time from 95 to 80 so that we only included 2 carrier peaks instead of 3. This helped with the peak identification which can be seen in the second attached plot. We also changed the gps time seen in the following command [python3 OMCscan.py 1393542033 80 "2W single bounce side bands nominal (45 @ 27.0dB, 9 @ 23.4dB)" "single bounce" --verbose --make_plots]

What's the finesse:
- To calculate the finesse we ran the file [/ligo/gitcommon/labutils/omc_scan/fit_peak.py]. We had to change variables gps_start, duration, description, mode, and num_fsr since those were hard-coded in. 
- We got the third attached plot from this code.
- This plot gives two HWHM's, one from the data at 0.341 MHz and one from the lorentzian fit at 0.327 MHz. This gives two finesses: 388 using the data, 405 using the fit. We think that the fit is more trustworthy than the data because it uses more of the linewidth.
- The variance given by curve_fit within the code is 1.16E-08. Take the square root to get the standard deviation. We estimated the error to be 0.04

No Sidebands:
- We tried to find the button that turns off the 9 and 45 MHz sidebands were unsuccessful. In the meantime, we decided to just change the RF set for both sidebands to 4dBm. This is the lowest the sliders could go.
- The fourth attached plot shows the signal with and without the sidebands