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Entry  Thu Sep 5 16:59:36 2019, anchal, DailyProgress, BEAT, Beatnote Frequency long time series data BeatnoteLongTimeSeries.pdf
    Reply  Wed Oct 2 12:22:44 2019, anchal, DailyProgress, BEAT, Beatnote Frequency long time series data BeatnoteLongTimeSeries.pdf
       Reply  Tue Oct 8 16:48:07 2019, putInYourRealName, DailyProgress, BEAT, Beatnote Frequency long time series data 
          Reply  Wed Oct 9 16:08:39 2019, anchal, DailyProgress, BEAT, Beatnote Frequency long time series data BeatnoteLongTimeSeriesPart2.pdf
Message ID: 2416     Entry time: Thu Sep 5 16:59:36 2019     Reply to this: 2441
Author: anchal 
Type: DailyProgress 
Category: BEAT 
Subject: Beatnote Frequency long time series data 

Attached is captured beatnote frequency between Aug 27th 2019 to Today, Sep 5th 2019.

I have attached a few more zoomed-in plots as well. This code will serve us in the future as well. Only the green regions are where both cavities were locked and cavity heater PID was engaged. This data involves the experiment time of CTN:2406 and hence have the disturbances of that time as well.

Essentially, there is no fixed stability number one can really quote for this PID. It looks stable in regions, but at times it shoots up or down randomly. Maybe some of them are because of me doing something on the table, but some are late at night which can only be explained by the movement of ghosts.


fromFBread.py updated

fromFBread.py now has an optional flag -d for decimating the read data, so that smaller files are created. Example: -d 160 will decimate the data by a factor of 160 making a sampling rate of 0.1 Hz. It calculates mean of the data, for a block size of 160 (corresponding to 10s) and also calculates standard deviation in this block and adds that as additional columns in the read data. Hence the plots attached here have uncertainties as well.


Code and Data

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BeatnoteLongTimeSeries.pdf BeatnoteLongTimeSeries.pdf BeatnoteLongTimeSeries.pdf
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