40m QIL Cryo_Lab CTN SUS_Lab TCS_Lab OMC_Lab CRIME_Lab FEA ENG_Labs OptContFac Mariner WBEEShop
  40m Log  Not logged in ELOG logo
Entry  Tue Sep 7 18:00:54 2021, Tega, Summary, Calibration, System Identification via line injection raw_timeseries.pdfdemod_signals.pdfcal_noise_asd.pdf
    Reply  Tue Sep 21 11:09:34 2021, Anchal, Summary, CDS, XARM YARM UGF Servo and Oscillators added 
       Reply  Wed Sep 22 12:40:04 2021, Anchal, Summary, CDS, XARM YARM UGF Servo and Oscillators shifted to OAF 
    Reply  Tue Sep 21 11:13:01 2021, Paco, Summary, Calibration, XARM calibration noise XARM_signal_asd.pdfXARM_demod_timeseries.pdfXARM_demod_asds.pdfXARM_cal_0921_timeseries.pdf
       Reply  Wed Sep 22 11:43:04 2021, rana, Summary, Calibration, XARM calibration noise 
          Reply  Tue Sep 28 16:31:52 2021, Paco, Summary, Calibration, XARM OLTF (calibration) at 55.511 Hz OLTF_Calibration_Scheme.jpgXARM_POX_Lock_Model_TF.pdfXARM_OLTF_Total_Model.pdfXARM_OLTF_55p511_Hz_timeseries.pdfGmag_55p511_Hz_ASD.pdf
             Reply  Thu Sep 30 18:04:31 2021, Paco, Summary, Calibration, XARM OLTF (calibration) with three lines XARM_OLTF_Model_and_Meas.pdfGmag_ASD_nb_withTRX.pdf
Message ID: 16315     Entry time: Tue Sep 7 18:00:54 2021     Reply to this: 16351   16352
Author: Tega 
Type: Summary 
Category: Calibration 
Subject: System Identification via line injection 

[paco]

This morning, I spent some time restoring the jupyter notebook server running in allegra. This server was first set up by Anchal to be able to use the latest nds python API tools which is handy for the calibration stuff. The process to restore the environment was to run "source ~/bashrc.d/*" to restore some of the aliases, variables, paths, etc... that made the nds server work. I then ran ssh -N -f -L localhost:8888:localhost:8888 controls@allegra from pianosa and carry on with the experiment.


[paco, hang, tega]

We started a notebook under /users/paco/20210906_XARM_Cal/XARM_Cal.ipynb on which the first part was doing the following;

  • Set up list of excitations for C1:LSC-XARM_EXC (for example three sine waveforms) using awg.py
  • Make sure the arm is locked
  • Read a reference time trace of the C1:LSC-XARM_IN2 channel for some duration
  • Start excitations (one by one at the moment, ramptime ~ 3 seconds, same duration as above)
  • Get data for C1:LSC-XARM_IN2 for an equal duration (raw data in Attachment #1)
  • Generate the excitation sine and cosine waveforms using numpy and demodulate the raw timeseries using a 4th order lowpass filter with fc ~ 10 Hz
  • Estimate the correct demod phase by computing arctan(Q / I) and rerunning the demodulation to dump the information into the I quadrature (Attachment #2).
  • Plot the estimated ASD of all the quadratures (Attachment #3)

[paco, hang, tega]

Estimation of open loop gain:

  • Grab data from the C1:LSC-XARM_IN1 and C1:LSC-XARM_IN2 test points
  • Infer excitation from their differnce, i.e. C1:LSC-XARM_EXC = C1:LSC-XARM_IN2 - C1:LSC-XARM_IN1
  • Compute the open loop gain as follows : G(f) = csd(EXC,IN1)/csd(EXC,IN2), where csd computes the cross spectra density of the input arguments
  • For the uncertainty in G, dG, we repeat steps (1) to (3) with & without signal injection in the C1:LSC-XARM_EXC channel. In the absence of signal injection, the signal in C1:LSC-XARM_IN2 is of the form: Y_ref = Noise/(1-G), whereas with nonzero signal injection, the signal in C1:LSC-XARM_IN2 has the form: Y_cal = EXC/(1-G) + Noise/(1-G), so their ratio, Y_cal/Y_ref = EXC/Noise, gives the SNR, which we can then invert to give the uncertainty in our estimation of G, i.e dG = Y_ref/Y_cal.
  • For the excitation at 53 Hz, our measurtement for the open loop gain comes out to about 5 dB whiich is consistent with previous measurement.
  • We seem to have an SNR in excess of 100 at measurement time of 35 seconds and 1 count of amplitude which gives a relative uncertainty of G of 0.1%
  • The analysis details are ongoing. Feedback is welcome.
Attachment 1: raw_timeseries.pdf  22 kB  Uploaded Tue Sep 7 19:56:29 2021  | Hide | Hide all
raw_timeseries.pdf
Attachment 2: demod_signals.pdf  23 kB  Uploaded Tue Sep 7 20:00:00 2021  | Hide | Hide all
demod_signals.pdf
Attachment 3: cal_noise_asd.pdf  107 kB  Uploaded Tue Sep 7 20:07:11 2021  | Hide | Hide all
cal_noise_asd.pdf
ELOG V3.1.3-