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Belle II Software
release-06-02-00
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Belle II Software
release-06-02-00
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Class to keep all parameters of an expert MLP for the neuro trigger. More...
#include <CDCTriggerMLP.h>
Public Member Functions | |
| CDCTriggerMLP () | |
| default constructor. | |
| CDCTriggerMLP (std::vector< unsigned short > &nodes, unsigned short targets, std::vector< float > &outputscale, std::vector< float > &phirange, std::vector< float > &invptrange, std::vector< float > &thetarange, unsigned short maxHits, unsigned long pattern, unsigned long patternMask, unsigned short tmax, bool calcT0, const std::string &etoption) | |
| constructor to set all parameters (not weights and relevantID ranges). | |
| ~CDCTriggerMLP () | |
| destructor, empty because we don't allocate memory anywhere. | |
| bool | isTrained () const |
| check if weights are default values or set by some trainer | |
| unsigned | nLayers () const |
| get number of layers | |
| unsigned | nNodesLayer (unsigned iLayer) const |
| get number of nodes in a layer | |
| unsigned | nWeights () const |
| get number of weights from length of weights vector | |
| unsigned | nWeightsCal () const |
| calculate number of weights from number of nodes | |
| std::vector< float > | getWeights () const |
| get weights vector | |
| unsigned short | getMaxHitsPerSL () const |
| get maximum hit number for a single super layer | |
| unsigned long | getSLpattern () const |
| get super layer pattern | |
| unsigned long | getSLpatternMask () const |
| get bitmask for super layer pattern | |
| unsigned long | getSLpatternUnmasked () const |
| get raw super layer pattern | |
| unsigned short | getTMax () const |
| get maximal drift time | |
| std::vector< float > | getIDRange (unsigned iSL) const |
| get relevant ID range for given super layer | |
| bool | getT0fromHits () const |
| get flag for event time definition | |
| std::string | get_et_option () const |
| Returns way of obtaining the event time. | |
| bool | inPhiRange (float phi) const |
| check whether given phi value is in sector | |
| bool | inPtRange (float pt) const |
| check whether given pt value is in sector | |
| bool | inInvptRange (float invpt) const |
| check whether given 1/pt value is in sector | |
| bool | inThetaRange (float theta) const |
| check whether given theta value is in sector | |
| bool | isRelevant (float relId, unsigned iSL) const |
| check whether given relative TS ID is in relevant range | |
| float | scaleId (double relId, unsigned iSL) const |
| scale relative TS ID from relevant range to approximately [-1, 1] (to facilitate the FPGA implementation, the scale factor is rounded to a power of 2) | |
| std::vector< float > | scaleTarget (std::vector< float > target) const |
| scale target value from outputScale to [-1, 1] | |
| std::vector< float > | unscaleTarget (std::vector< float > target) const |
| scale target value from [-1, 1] to outputScale | |
| int | zIndex () const |
| get target index for z (-1 if no output is trained for z) | |
| int | thetaIndex () const |
| get target index for theta (-1 if no output is trained for theta) | |
Private Member Functions | |
| ClassDef (CDCTriggerMLP, 7) | |
| Needed to make the ROOT object storable. | |
Private Attributes | |
| std::vector< unsigned short > | nNodes |
| Number of nodes in each layer, not including bias nodes. | |
| std::vector< float > | weights |
| Weights of the network. | |
| bool | trained |
| Indicator whether the weights are just default values or have been set by some trainer (set to true when setWeights() is first called). | |
| unsigned short | targetVars |
| output variables: 1: z, 2: theta, 3: (z, theta) | |
| std::vector< float > | outputScale |
| Output[i] of the MLP is scaled from [-1, 1] to [outputScale[2i], outputScale[2i+1]]. | |
| std::vector< float > | phiRange |
| Phi region in radian for which this expert is trained. More... | |
| std::vector< float > | invptRange |
| Charge / Pt region in 1/GeV for which this expert is trained. More... | |
| std::vector< float > | thetaRange |
| Theta region in radian for which this expert is trained. | |
| unsigned short | maxHitsPerSL |
| Maximum number of inputs for a single super layer. | |
| unsigned long | SLpattern |
| Super layer pattern for which this expert is trained. More... | |
| unsigned long | SLpatternMask |
| Bitmask for comparing the super layer pattern. More... | |
| unsigned short | tMax |
| Maximal drift time (for scaling), hits with larger values are ignored. | |
| std::vector< float > | relevantID |
| Hits must be within ID region around 2D track to be used as input. More... | |
| std::string | et_option |
| Returns way of obtaining the event time. More... | |
| bool | T0fromHits |
| DEPRECATED!! If true, the event time will be determined from hits within relevantID region, if it is missing. More... | |
Friends | |
| class | CDCTriggerNeuroTrainerModule |
Class to keep all parameters of an expert MLP for the neuro trigger.
Definition at line 20 of file CDCTriggerMLP.h.
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private |
Returns way of obtaining the event time.
The different options are: "etf_only" : only ETF info is used, otherwise an error is thrown. "fastestpriority" : event time is estimated by fastest priority time in selected track segments. if something fails, it is set to 0. "zero" : the event time is set to 0. "etf_or_fastestpriority" : the event time is obtained by the ETF, if not possible, the flag "fastestppriority" is used. "etf_or_zero" : the event time is obtained by the ETF, if
Definition at line 163 of file CDCTriggerMLP.h.
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private |
Charge / Pt region in 1/GeV for which this expert is trained.
Taking 1 / Pt instead of Pt means that straight tracks are at 0, i.e. there is a smooth transition from positive to negative charge.
Definition at line 127 of file CDCTriggerMLP.h.
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private |
Phi region in radian for which this expert is trained.
Valid ranges go from -2pi to 2pi.
Definition at line 123 of file CDCTriggerMLP.h.
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private |
Hits must be within ID region around 2D track to be used as input.
Default for axial layers is +- 1 wire, default for stereo layers is region spanned by stereos +- 1 wire.
Definition at line 147 of file CDCTriggerMLP.h.
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private |
Super layer pattern for which this expert is trained.
Binary pattern of 9 * maxHitsPerSL bits (on/off for each hit). 0 means no restriction rather than no inputs.
Definition at line 136 of file CDCTriggerMLP.h.
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private |
Bitmask for comparing the super layer pattern.
A track matches a sector, if SLpattern & SLpatternMask == hitPattern(track) & SLpatternMask.
Definition at line 140 of file CDCTriggerMLP.h.
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private |
DEPRECATED!! If true, the event time will be determined from hits within relevantID region, if it is missing.
Otherwise, no drift times are used if the event time is missing. Stored here to make sure that the event time definition is the same during training and during execution.
Definition at line 170 of file CDCTriggerMLP.h.
1.9.1