| Interface | Description |
|---|---|
| Normalizer |
Interface to abstract the various normalizers for the likelihood detector
It is OK to return a null DataUnit if you cannot yet produce data based on
the input given.
|
| Class | Description |
|---|---|
| BlockTimeStamp |
This is a convenience class which stores the critical non-static information about the
data blocks being processed.
|
| DecayingAverageNorm |
This class implements the decaying average normalizer/estimator for the likelihoodDetectionModule.
|
| DecayingAverageNormAlphas |
This class is used to convert signal and background time constants to ExponentialAverager alpha values.
|
| ExponentialAverager |
This is a simple exponential (decaying) average.
|
| NormalizedData |
This is a data type for normalizer output.
|
| NormalizedDataUnit |
The data type generated by the normalizer PamProcess.
|
| NormalizerProcess |
This PamProcess implements the normalizer of the likelihood detector.
|
| NormalizerProcessTimeConstants |
A simple convenience class to pair signal and background time constants together.
|
| SlidingAverager |
A simple sliding block averager.
|
| SplitWindowNorm |
A Split Window normalizer implementation.
|
| SplitWindowNormWidths |
This class is used to convert signal and background estimator times in seconds into window widths in samples
suitable for use with the SplitWindowNorm class.
|
| TwoSpeedExponentialAverager |
This class is almost identical to the simple exponential (decaying) average.
|
| UnitTest |
| Enum | Description |
|---|---|
| NormalizerProcess.NormalizerAlgorithm |