Interface | Description |
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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 |
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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.
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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 |
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NormalizerProcess.NormalizerAlgorithm |