Vicky and Jason measured the PMC olg, and I grabbed the data from the SR785 for them. The plots are attached. The second measurement is a zoomed in version of the first.

Looks like the feature above 5 kHz is around the same frequency as the peak we are seeing in the intensity and frequency noise (alogs 80603, 81230)

These are the steps I took to get the data:

> cd /ligo/gitcommon/psl_measurements

> conda activate psl

> python code/SRmeasure.py -i 10.22.10.30 -a 10 --getdata -f data/name

This will save your data in the data folder as "name_[datetime string].txt"

To confirm connection before running, try

> ping 10.22.10.30

you should get something like

PING 10.22.10.30 (10.22.10.30) 56(84) bytes of data.
64 bytes from 10.22.10.30: icmp_seq=1 ttl=64 time=1.26 ms
64 bytes from 10.22.10.30: icmp_seq=1 ttl=64 time=1.54 ms (DUP!)
64 bytes from 10.22.10.30: icmp_seq=2 ttl=64 time=0.748 ms
64 bytes from 10.22.10.30: icmp_seq=2 ttl=64 time=1.03 ms (DUP!)
64 bytes from 10.22.10.30: icmp_seq=3 ttl=64 time=0.730 ms
64 bytes from 10.22.10.30: icmp_seq=3 ttl=64 time=1.02 ms (DUP!)
^C
--- 10.22.10.30 ping statistics ---
3 packets transmitted, 3 received, +3 duplicates, 0% packet loss, time 2003ms
rtt min/avg/max/mdev = 0.730/1.054/1.538/0.282 ms
----

run Ctrl-C to exit. If you don't get these messages, you are probably not plugged in properly.

To plot the data (assuming that you are measuring transfer functions), use

> python code/quick_tf_plot.py data/name_[datetime str].txt

Craig has lots of great options in this code to make nice labels, save the plot in certain places, etc. if you want to get fancy. Also, he has other scripts that will plot spectra, multiple spectra or multiple tfs.

If you want to measure from the control room, there are yaml templates that run different types of measurements, such as carm or imc olgs.