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The simplest use case, where we have one PV with one associated data buffer. The default (and maximum) buffer size is 2800, but that can be reduced if desired. Whatever the buffer size n, we display the n most recent points as long as a kind of rolling EKG:
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You If you can't see the preview, you will need to download the file and view on VLC (not the default video player) on the OPIs here. If you're on a machine that has internet, you can view it here on YouTube |
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name | A vs. Time.mp4 |
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The crown jewel of RTBSA. If there are two PV selected at once, there are two data buffers getting filled simultaneously. Given the pulse tagging, we can line up both buffers so that we can tease out a true pulse-by-pulse correlation between the two signals:
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You If you can't see the preview, you will need to download the file and view on VLC (not the default video player) on the OPIs here. If you're on a machine that has internet, you can view it here |
This is useful for real-time optimization, or for diagnosing issues.
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Sometimes one (or both) of the signals has a lot of dropouts, which can mess with the correlation fit. If that's the case, we can institute a standard deviation filter that filters out anything outside of n (default is 3) standard deviations from the mean of both signals (or only the one if we're using A vs Time).
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You If you can't see the preview, you will need to download the file and view on VLC (not the default video player) on the OPIs here. If you're on a machine that has internet, you can view it here |
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name | Standard Deviation Filter.mp4 | height | 250 |
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