| We have identified two problems facing the intensity noise calculations, which we are working to solve.
The first of these problems, is that the red pitaya appears to be taking data approximately 4 times faster than we would expect from the decimation rate based on how quickly it runs. To see if this was affecting our data, we plugged the red pitaya into a function generator. We found that my code is able to identify the driving frequency, but consistently gives predictions that are roughly 7% greater than we expect. When we drive at 100 Hz, the plot says the peak is at 107 Hz, when driven at 400 Hz, we see between 422-427 Hz, etc. While this implies that the red pitaya is not taking data at a faster rate than we would expect (if it did we would anticipate a lower than expected frequency, by a factor of roughly 4), it does imply some intrinsic issue with either the red pitaya or with the code. To fix this, I am going to use my code on artificially generated signals and see if we still observe these issues. |