The amplitude histogram displays the distribution of event amplitudes. The histogram can be fit to a sum of gaussian terms. All fitting is maximum-likelihood. TACFit displays the log likelihood result, so you can determine the relationshipbetween the number of terms in the fit and the log likelihood. Adding terms to the fit should always increase the log likelihood, but the amount of increase may be insufficient to justify the additional term.
Histograms provide both linear and square-root y axis scaling.
Square-root y axis scaling allows you to easily judge the quality of the fit of a theoretical curve to a histogram. With square root scaling, the vertical displacement between a histogram and a theoretical curve represents the number of standard deviations of difference, independent of the value in the histogram bin. TACFit also provides scatter plots of duration or amplitude against independent variable, or amplitude against duration. For analysis of long-term trends, TACFit provides the stationarity plot. The stationarity plot measures the average value of a parameter over a sweep.