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Entry  Tue Dec 7 00:19:26 2010, Zach, Laser, GYRO, noise budget-O-matic NoiseBudget.pdf
    Reply  Wed Dec 8 01:13:31 2010, Zach, Laser, GYRO, noise budget-O-matic noise_spect_consistency_check.pngNoiseBudget.pdf
       Reply  Wed Dec 8 11:37:17 2010, Zach, Laser, GYRO, noise budget-O-matic NoiseBudget.pdf
Message ID: 1194     Entry time: Wed Dec 8 01:13:31 2010     In reply to: 1192     Reply to this: 1195
Author: Zach 
Type: Laser 
Category: GYRO 
Subject: noise budget-O-matic 

I have verified the self-consistency of the three different methods of obtaining the gyro noise spectrum, which are:

  1. Analog measurement with a standalone spectrum analyzer (Agilent)
  2. DTT
  3. NDS and pwelch() in MATLAB

(NOTE: what I mean is that these are three ways to obtain a noise spectrum with a given gyro signal, in this case the feedback signal to the AOM VCO). Below is a plot showing that the three results overlap quite nicely, with the only difference being a little less smooth a curve at low frequency for the analog measurement.


I'm not sure what was giving me trouble yesterday, but I am now clearly able to get a sensible result with option (3), which is integrated in the new noise budget generation scheme. Below is an output I just generated using a current spectrum. I have made the following aesthetic modifications that Koji suggested:

  • Make the measured noise be bolder (higher linewidth) than the individual noise contributions
  • Make the measured noise some stand-out color, like BLACK
  • I have done the same thing to the "requirement" trace, only I have made it GREEN



 I have more-or-less finished a rough first draft of the automatic gyro noise budget MATLAB code. The rough architecture is:

  1. An M-file that obtains and saves the current gyro noise, by:
    1. Downloading a recent time series via NDS from the ATF frames
    2. Using pwelch to take the spectrum
    3. Saving the data and frequency vector as ASCII
  2. A "data" directory containing the above spectrum as well as ASCII spectra of all independently measurable noise contributions, such as:
    • PDH box output noises (V)
    • PD dark noises (V)
    • Displacement noise measurements for fundamental mechanical noise coupling estimates
    • Phase noise measurements
    • CCW and CW OLTFs
    • etc (this data library will be updated and amended as we go along)
  3. An M-file that calibrates all the data in (2), plots it along with (1), and generates a PDF. The current date and time are printed in the plot title. This file contains many adjustable parameters such as:
    • PDH box gain settings
    • AOM VCO deviation setting
    • Gyro signal -> ADC preamp gain
    • etc

In addition to this, there are two functions named "pdh1437" and "pdh2215" which contain analytical expressions for the two respective filters. They take as arguments 1) a frequency vector and 2) the appropriate box's gain setting and return a vector of the transfer function sampled at these frequencies. These are used wherever a spectrum needs to be multiplied or divided by the PDH gain.

The file in (2) takes the OLTF in each direction and divides by the correctly sampled PDH gain and actuator gain to obtain the optical response in V/Hz. This is used to calibrate voltage spectra into (rad/s)/rHz.

(1) is separate so that we can choose whether to pull the gyro noise from the frames or upload our own (e.g. an analog measurement), and there will be a single file that runs everything in one fell swoop.

Below is a sample output. In this case, I have used our analog measurement of the gyro noise from last week as I am still working out the kinks in the NDS method (for some reason, they don't come out quite the same). Obviously, this is still somewhat barebones and we will need to add in more noise sources as they come to us. The good thing is that---at long last---we will be able to simply press a button every time we want an up-to-date noise budget. If we make a change to the setup, it is simply a matter of dropping the new data into the "data" directory and re-running.




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