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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 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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This is useful for real-time optimization, or for diagnosing issues.
Fit Types
A feature for all three of the plot types (A vs Time, FFT, and B vs A)! The default fit is a linear fit, but we can request higher order polynomial fits if we'd like (sometimes the correlation looks parabolic).
Standard Deviation Filter
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).