[u/mrichter/AliRoot.git] / ITS / AliITStrackerANN.h

// AliITStrackerANN header file.
// Class definition for the Neural Tracking implementation
// for the ALICE ITS stand-alone.
// Author: A. Pulvirenti
// Email : alberto.pulvirenti@ct.infn.it

#ifndef ALIITSTRACKERANN_H
#define ALIITSTRACKERANN_H

#include "AliITStrackerV2.h"

class AliITSgeom;
class TArrayI;

class AliITStrackerANN : public AliITStrackerV2 
{
public:


	/* Constructors */
	AliITStrackerANN() : AliITStrackerV2() { /* does nothing */ };
	AliITStrackerANN(const AliITSgeom *geom, Int_t msglev = 0);
	AliITStrackerANN(const AliITStrackerANN &n) : AliITStrackerV2((AliITStrackerV2&)n)  
		{ /* nothing */ }
	AliITStrackerANN& operator=(const AliITStrackerANN& /*arg*/)
		{ return *this; }
	
	/* Destructor */
	// virtual ~AliITStrackerANN();
	
	
	/*********************************************
	  >> AliITSnode <<
	  ----------------
	  An ITS point in the global reference frame.                      
	 *********************************************/
	class AliITSnode : public TObject {
	public:
	
		AliITSnode();
		~AliITSnode();
		AliITSnode(const AliITSnode &n) : TObject((TObject&)n)  
		{ /* nothing */ }
		AliITSnode& operator=(const AliITSnode& /*arg*/)
		{ return *this; }
	
		/* (NODE) Function to extract layer info from cluster index */
		Int_t  GetLayer() const {Int_t lay = (fClusterRef & 0xf0000000) >> 28; return lay;}
		
		/* (NODE) Getter and Setter for the 'fUsed' flag */
		Bool_t IsUsed() const {return fUsed;}
		void   Use()          {fUsed = kTRUE;}
		
		/* (NODE) Geometrical functions */
		Double_t  GetR2()    const  {return TMath::Sqrt(GetR2sq());}   // xy  radius
		Double_t  GetR3()    const  {return TMath::Sqrt(GetR3sq());}   // xyz radius
		Double_t  GetR2sq()  const  {return fX*fX+fY*fY;}              // xy  radius^2
		Double_t  GetR3sq()  const  {return GetR2sq()+fZ*fZ;}          // xyz radius^2
		Double_t  GetPhi()   const;
		Double_t  GetTheta() const  {return TMath::ATan2(GetR2(),fZ);} // polar angle
		Double_t  GetError(Option_t *opt);                             // errors on coords
		
		/* Data members references */
		Double_t& X()            {return fX;}
		Double_t& Y()            {return fY;}
		Double_t& Z()            {return fZ;}
		Double_t& ErrX2()        {return fEX2;}
		Double_t& ErrY2()        {return fEY2;}
		Double_t& ErrZ2()        {return fEZ2;}
		Int_t&    ClusterRef()   {return fClusterRef;}
		
		TObjArray*&   Matches()  {return fMatches;}
		TObjArray*&   InnerOf()  {return fInnerOf;}
		TObjArray*&   OuterOf()  {return fOuterOf;}
		AliITSnode*&  Next()     {return fNext;}
		AliITSnode*&  Prev()     {return fPrev;}
		
	private:
		
		Double_t    fX;           // X in global reference system
		Double_t    fY;           // Y in global reference system
		Double_t    fZ;           // Z in global reference system
		Double_t    fEX2;         // X error in global reference system
		Double_t    fEY2;         // Y error in global reference system
		Double_t    fEZ2;         // Z error in global reference system
		
		Bool_t      fUsed;        //  usage flag
		Int_t       fClusterRef;  //  reference index for related cluster
		TObjArray  *fMatches;     //! array of well-matched cluster indexes
		TObjArray  *fInnerOf;     //! array of neurons starting from *this
		TObjArray  *fOuterOf;     //! array of neurons entering *this
		AliITSnode *fNext;        //! pointer to the next node in the found track
		AliITSnode *fPrev;        //! pointer to the previous node in the found track
		
	};
	/* End of AliITSnode class */
	
		
	/***************************************
	  >> AliITSneuron <<
	  ------------------
	  A single unit in the neural network.
	 ***************************************/
	class AliITSneuron : public TObject {
	public:
	
		/* (NEURON) Constructor: alocates the sequenced units array */
		AliITSneuron() : fUsed(0), fActivation(0.), fInner(0), fOuter(0), fGain(0) 
			{fGain = new TObjArray;}
		AliITSneuron(AliITSnode *inner, AliITSnode *outer, Double_t minAct, Double_t maxAct);
		AliITSneuron(const AliITSneuron &n) : TObject((TObject&)n)  
		{ /* nothing */ }
		AliITSneuron& operator=(const AliITSneuron& /*arg*/)
		{ return *this; }
		
								
		/* (NEURON) Destructor: frees memory from dynamic allocated objects */
		virtual ~AliITSneuron()	
			{ fInner = fOuter = 0; fGain->SetOwner(kFALSE); fGain->Clear(); delete fGain; }

		/* Compute neural activation from the network */
		Double_t  Activate(Double_t temperature);
		
		/* Data members references */
		Int_t&        Used()        {return fUsed;}
		Double_t&     Activation()  {return fActivation;}
		AliITSnode*&  Inner()       {return fInner;}
		AliITSnode*&  Outer()       {return fOuter;}
		TObjArray*&   Gain()        {return fGain;}
		
	private:
	
		Int_t             fUsed;        //  utility flag
		Double_t          fActivation;  //  Activation value
		AliITSnode       *fInner;       //! inner point
		AliITSnode       *fOuter;       //! outer point
		TObjArray        *fGain;        //! list of sequenced units
		
	};
	/* End of NEURON class */
	
	
	/**************************************************
	  >> AliITSlink <<
	  ----------------
	  A synaptic connected unit in the neural network.
	 **************************************************/
	class AliITSlink : public TObject {
	public:
	
		AliITSlink() {fWeight = 0.0; fLinked = 0;}
		AliITSlink(Double_t w, AliITSneuron *n) : fWeight(w), fLinked(n) { }
		virtual ~AliITSlink() {fLinked = 0;}
		AliITSlink(const AliITSlink &n) : TObject((TObject&)n)  
		{ /* nothing */ }
		AliITSlink& operator=(const AliITSlink& /*arg*/)
		{ return *this; }
		
		/* contribution */
		Double_t Contribution() {return fLinked->Activation() * fWeight;}
		
	private:
	
		Double_t      fWeight;  //  Weight value
		AliITSneuron *fLinked;  //! Connected neuron
	
	};
	/* End of AliITSlink class */
	
	/**************************************
	  >> AliITStrackANN <<
	  ----------------
	  A track found by the neural network.
	 **************************************/
	class AliITStrackANN : public TObject {
	public:
	
		AliITStrackANN(Int_t dim = 0);
		AliITStrackANN(const AliITStrackANN &n) : TObject((TObject&)n)  
		{ /* nothing */ }
		AliITStrackANN& operator=(const AliITStrackANN& /*arg*/)
		{ return *this; }
	
		Double_t&  XCenter()                 {return fXCenter;}
		Double_t&  YCenter()                 {return fYCenter;}
		Double_t&  Radius()                  {return fRadius;}
		Double_t&  Curv()                    {return fCurv;}
		Double_t&  ImpactParameterTrans()    {return fDTrans;}
		Double_t&  ImpactParameterLong()     {return fDLong;}
		Double_t&  TanLambda()               {return fTanLambda;}
		Double_t&  Phi()                     {return fPhi;}
		
		AliITSnode* operator[](Int_t i) const {return ((i>=0&&i<fNPoints)?fNode[i]:0);}
		AliITSnode* GetNode(Int_t i) const {return ((i>=0&&i<fNPoints)?fNode[i]:0);}
		void        SetNode(Int_t i, AliITSnode*& ref) {if (i>=0&&i<fNPoints) fNode[i] = ref;}
		
		Int_t  CheckOccupation() const;
		Bool_t RiemannFit();
	
	private:
	
		Int_t      fNPoints;    // nuber of track elements
		
		Double_t   fXCenter;    // X of bending circle center
		Double_t   fYCenter;    // Y of bending circle center
		Double_t   fRadius;     // radius of bending circle
		Double_t   fCurv;       // signed curvature of bending circle 
		Double_t   fDTrans;     // transverse impact parameter
		Double_t   fDLong;      // longitudinal impact parameter
		Double_t   fTanLambda;  // tangent of dip angle
		Double_t   fPhi;        // initial direction of transverse momentum
		
		AliITSnode **fNode;     // pointers to track elements
		
	};
	/* End of AliITStrackANN class */
	
	/* Geometry setter */
	void SetITSgeom(AliITSgeom *geom)             {fGeom = (AliITSgeom*)geom;}
	
	/* Flag setter */
	void SetMessageLevel(Int_t lev)               {fMsgLevel = lev;}
		
	/* Cut setters */
	void SetCuts(Int_t ncurv = 0, Double_t *curv = 0, // curvature (number of cuts and array)
	             Double_t *theta2D = 0,               // cut in theta 2D (rho-z)
                Double_t *theta3D = 0,               // cut in theta 3D (x-y-z)
                Double_t *helix = 0);                // cut for helix-matching
	
	/* Setter for overall Theta cut */
	void SetPolarInterval(Double_t dtheta)        {fPolarInterval=dtheta;}

	/* Neural work-flow setters */
	void SetActThreshold(Double_t val)            {fActMinimum = val;}
	void SetWeightExponent(Double_t a)            {fExponent = a;}
	void SetGainToCostRatio(Double_t a)           {fGain2CostRatio = a;}
	void SetInitInterval(Double_t a, Double_t b)  {fEdge1 = a; fEdge2 = b;}
	void SetTemperature(Double_t a)               {fTemperature = a;}
	void SetVariationLimit(Double_t a)            {fStabThreshold = a;}
	
	/* Vertex setter */
	void SetVertex(Double_t x, Double_t y, Double_t z) {fVertexX=x;fVertexY=y;fVertexZ=z;}
	
	/* Node management for neural network creation */
	Bool_t      GetGlobalXYZ(Int_t refClust, 
	                         Double_t &x, Double_t &y, Double_t &z,
									 Double_t &ex2, Double_t &ey2, Double_t &ez2);
	AliITSnode* AddNode(Int_t index);
	void        CreateArrayStructure(Int_t nsecs);
	Int_t       ArrangePoints(char *exportFile = 0);
	void        StoreOverallMatches();
	Bool_t      PassCurvCut(AliITSnode *p1, AliITSnode *p2, Int_t curvStep, Double_t vx, Double_t vy, Double_t vz);
	Int_t       PassAllCuts(AliITSnode *p1, AliITSnode *p2, Int_t curvStep, Double_t vx, Double_t vy, Double_t vz);
	void        PrintMatches(Bool_t stop = kTRUE);
	
	/* Neural tracking operations */
	// void     NeuralTracking(const char* filesave, TCanvas*& display);
	void     ResetNodes(Int_t isector);
	Int_t    CreateNetwork(Int_t sector, Int_t curvStep);  // create network
	Int_t    CreateNeurons(AliITSnode *node, Int_t curvStep, Double_t vx, Double_t vy, Double_t vz);  // create neurons starting from given point
	Int_t    LinkNeurons();                // create neural connections
	Bool_t   Update();                     // an updating cycle
	void     FollowChains(Int_t sector);   // follows the chains of active neurons
	Int_t    SaveTracks(Int_t sector);     // saves the found tracks
	void     CleanNetwork();               // removes deactivated units and resolve competitions
	//Int_t    Save(Int_t sector);     // save found tracks for # sector
	Int_t    StoreTracks();                // save found tracks for # sector
	
	/* Fit procedures */
	void     ExportTracks(const char *file) const;
	
private:

	/* Neural synaptic weight */
	Double_t Weight(AliITSneuron *nAB, AliITSneuron *nBC); 

	/* Usefuls constant angle values */
	static const Double_t fgkPi; // pi
	static const Double_t fgkHalfPi; // pi / 2
	static const Double_t fgkTwoPi; // 2 * pi
	
	/* Primary vertex position */
	Double_t fVertexX; // X
	Double_t fVertexY; // Y  
	Double_t fVertexZ; // Z
	
	/* ITS barrel sectioning */
	Int_t        fSectorNum;      //  number of azimutal sectors
	Double_t     fSectorWidth;    //  width of barrel sector (in RAD) [used internally]
	Double_t     fPolarInterval;  //  width of a polar sector (in DEGREES)

	/* Cuts */
	Double_t     fThetaCut2D[5];     //  upper edge of theta cut range (in DEGREES)
	Double_t     fThetaCut3D[5];     //  upper edge of theta cut range (in DEGREES)
	Double_t     fHelixMatchCut[5];  //  lower edge of helix matching cut range
	Int_t        fCurvNum;           //  # of curvature cut steps
	Double_t    *fCurvCut;           //! value of all curvature cuts
	
	/* Neural network work-flow parameters */
	Double_t     fActMinimum;      //  minimum activation to turn 'on' the unit at the end
	Double_t     fEdge1, fEdge2;   //  initialization interval for activations
	Double_t     fStabThreshold;   //  stability threshold
	Double_t     fTemperature;     //  slope in logistic function
	Double_t     fGain2CostRatio;  //  ratio between inhibitory and excitory contributions
	Double_t     fExponent;        //  alignment-dependent weight term
	
	/* Object arrays for data storing and related counters */
	Int_t        fNLayers;          //  Number of ITS layers
	Int_t       *fFirstModInLayer;  //! Index of first module index for each layer
	TArrayI    **fIndexMap;         //! Map of cluster indexes (in AliITSlayer) with reference to
	                                //  the location in the cluster Tree (module, pos in array)
	Int_t        fTrackClust[6];    //  Track point in layers
	TObjArray   *fFoundTracks;      //! Found tracks
	TObjArray ***fNodes;            //! recpoints arranged into sectors for processing
	TObjArray   *fNeurons;          //! neurons
	
	/* Flags */ 
	Int_t   fMsgLevel;        // To allow the on-screen printing of messages
	Bool_t  fStructureOK;     // Check if the nested TObjArray structure of nodes is created
	
	/* ALICE related objects */
	AliITSgeom  *fGeom;       //! ITS Geometry
	
	friend class AliITStrackerANN::AliITStrackANN;

	/* ROOT class implementation routines */
	ClassDef(AliITStrackerANN, 1)
};

#endif
Commit	Line	Data
cec46807	1	// AliITStrackerANN header file.
	2	// Class definition for the Neural Tracking implementation
	3	// for the ALICE ITS stand-alone.
	4	// Author: A. Pulvirenti
	5	// Email : alberto.pulvirenti@ct.infn.it
	6
	7	#ifndef ALIITSTRACKERANN_H
	8	#define ALIITSTRACKERANN_H
	9
	10	#include "AliITStrackerV2.h"
	11
	12	class AliITSgeom;
	13	class TArrayI;
	14
	15	class AliITStrackerANN : public AliITStrackerV2
	16	{
	17	public:
	18
0db9364f	19
cec46807	20	/* Constructors */
	21	AliITStrackerANN() : AliITStrackerV2() { /* does nothing */ };
	22	AliITStrackerANN(const AliITSgeom *geom, Int_t msglev = 0);
	23	AliITStrackerANN(const AliITStrackerANN &n) : AliITStrackerV2((AliITStrackerV2&)n)
	24	{ /* nothing */ }
	25	AliITStrackerANN& operator=(const AliITStrackerANN& /arg/)
	26	{ return *this; }
	27
	28	/* Destructor */
	29	// virtual ~AliITStrackerANN();
	30
	31
	32	/*********************************************
	33	>> AliITSnode <<
	34	----------------
	35	An ITS point in the global reference frame.
	36	*********************************************/
	37	class AliITSnode : public TObject {
	38	public:
	39
	40	AliITSnode();
	41	~AliITSnode();
	42	AliITSnode(const AliITSnode &n) : TObject((TObject&)n)
	43	{ /* nothing */ }
	44	AliITSnode& operator=(const AliITSnode& /arg/)
	45	{ return *this; }
	46
	47	/* (NODE) Function to extract layer info from cluster index */
	48	Int_t GetLayer() const {Int_t lay = (fClusterRef & 0xf0000000) >> 28; return lay;}
	49
	50	/* (NODE) Getter and Setter for the 'fUsed' flag */
	51	Bool_t IsUsed() const {return fUsed;}
	52	void Use() {fUsed = kTRUE;}
	53
	54	/* (NODE) Geometrical functions */
	55	Double_t GetR2() const {return TMath::Sqrt(GetR2sq());} // xy radius
	56	Double_t GetR3() const {return TMath::Sqrt(GetR3sq());} // xyz radius
	57	Double_t GetR2sq() const {return fXfX+fYfY;} // xy radius^2
	58	Double_t GetR3sq() const {return GetR2sq()+fZ*fZ;} // xyz radius^2
	59	Double_t GetPhi() const;
	60	Double_t GetTheta() const {return TMath::ATan2(GetR2(),fZ);} // polar angle
	61	Double_t GetError(Option_t *opt); // errors on coords
	62
	63	/* Data members references */
	64	Double_t& X() {return fX;}
	65	Double_t& Y() {return fY;}
	66	Double_t& Z() {return fZ;}
	67	Double_t& ErrX2() {return fEX2;}
	68	Double_t& ErrY2() {return fEY2;}
	69	Double_t& ErrZ2() {return fEZ2;}
	70	Int_t& ClusterRef() {return fClusterRef;}
	71
	72	TObjArray*& Matches() {return fMatches;}
	73	TObjArray*& InnerOf() {return fInnerOf;}
	74	TObjArray*& OuterOf() {return fOuterOf;}
	75	AliITSnode*& Next() {return fNext;}
	76	AliITSnode*& Prev() {return fPrev;}
	77
	78	private:
	79
	80	Double_t fX; // X in global reference system
	81	Double_t fY; // Y in global reference system
	82	Double_t fZ; // Z in global reference system
	83	Double_t fEX2; // X error in global reference system
84	Double_t fEY2; // Y error in global reference system
85	Double_t fEZ2; // Z error in global reference system
86
87	Bool_t fUsed; // usage flag
88	Int_t fClusterRef; // reference index for related cluster
89	TObjArray *fMatches; //! array of well-matched cluster indexes
90	TObjArray fInnerOf; //! array of neurons starting from this
91	TObjArray fOuterOf; //! array of neurons entering this
92	AliITSnode *fNext; //! pointer to the next node in the found track
93	AliITSnode *fPrev; //! pointer to the previous node in the found track
94
95	};
96	/* End of AliITSnode class */
97
98
99	/***************************************
100	>> AliITSneuron <<
101	------------------
102	A single unit in the neural network.
103	***************************************/
104	class AliITSneuron : public TObject {
105	public:
106
107	/* (NEURON) Constructor: alocates the sequenced units array */
108	AliITSneuron() : fUsed(0), fActivation(0.), fInner(0), fOuter(0), fGain(0)
109	{fGain = new TObjArray;}
110	AliITSneuron(AliITSnode inner, AliITSnode outer, Double_t minAct, Double_t maxAct);
111	AliITSneuron(const AliITSneuron &n) : TObject((TObject&)n)
112	{ /* nothing */ }
113	AliITSneuron& operator=(const AliITSneuron& /arg/)
114	{ return *this; }
115
116
117	/* (NEURON) Destructor: frees memory from dynamic allocated objects */
118	virtual ~AliITSneuron()
119	{ fInner = fOuter = 0; fGain->SetOwner(kFALSE); fGain->Clear(); delete fGain; }
120
121	/* Compute neural activation from the network */
122	Double_t Activate(Double_t temperature);
123
124	/* Data members references */
125	Int_t& Used() {return fUsed;}
126	Double_t& Activation() {return fActivation;}
127	AliITSnode*& Inner() {return fInner;}
128	AliITSnode*& Outer() {return fOuter;}
129	TObjArray*& Gain() {return fGain;}
130
131	private:
132
133	Int_t fUsed; // utility flag
134	Double_t fActivation; // Activation value
135	AliITSnode *fInner; //! inner point
136	AliITSnode *fOuter; //! outer point
137	TObjArray *fGain; //! list of sequenced units
138
139	};
140	/* End of NEURON class */
141
142
143	/**************************************************
144	>> AliITSlink <<
145	----------------
146	A synaptic connected unit in the neural network.
147	**************************************************/
148	class AliITSlink : public TObject {
149	public:
150
151	AliITSlink() {fWeight = 0.0; fLinked = 0;}
152	AliITSlink(Double_t w, AliITSneuron *n) : fWeight(w), fLinked(n) { }
153	virtual ~AliITSlink() {fLinked = 0;}
154	AliITSlink(const AliITSlink &n) : TObject((TObject&)n)
155	{ /* nothing */ }
156	AliITSlink& operator=(const AliITSlink& /arg/)
157	{ return *this; }
158
159	/* contribution */
160	Double_t Contribution() {return fLinked->Activation() * fWeight;}
161
162	private:
163
164	Double_t fWeight; // Weight value
165	AliITSneuron *fLinked; //! Connected neuron
166
167	};
168	/* End of AliITSlink class */
169
170	/**************************************
171	>> AliITStrackANN <<
172	----------------
173	A track found by the neural network.
174	**************************************/
175	class AliITStrackANN : public TObject {
176	public:
177
178	AliITStrackANN(Int_t dim = 0);
179	AliITStrackANN(const AliITStrackANN &n) : TObject((TObject&)n)
180	{ /* nothing */ }
181	AliITStrackANN& operator=(const AliITStrackANN& /arg/)
182	{ return *this; }
183
184	Double_t& XCenter() {return fXCenter;}
185	Double_t& YCenter() {return fYCenter;}
186	Double_t& Radius() {return fRadius;}
187	Double_t& Curv() {return fCurv;}
188	Double_t& ImpactParameterTrans() {return fDTrans;}
189	Double_t& ImpactParameterLong() {return fDLong;}
190	Double_t& TanLambda() {return fTanLambda;}
191	Double_t& Phi() {return fPhi;}
192
193	AliITSnode* operator[](Int_t i) const {return ((i>=0&&i<fNPoints)?fNode[i]:0);}
194	AliITSnode* GetNode(Int_t i) const {return ((i>=0&&i<fNPoints)?fNode[i]:0);}
195	void SetNode(Int_t i, AliITSnode*& ref) {if (i>=0&&i<fNPoints) fNode[i] = ref;}
196
197	Int_t CheckOccupation() const;
198	Bool_t RiemannFit();
199
200	private:
201
202	Int_t fNPoints; // nuber of track elements
203
204	Double_t fXCenter; // X of bending circle center
205	Double_t fYCenter; // Y of bending circle center
206	Double_t fRadius; // radius of bending circle
207	Double_t fCurv; // signed curvature of bending circle
208	Double_t fDTrans; // transverse impact parameter
209	Double_t fDLong; // longitudinal impact parameter
210	Double_t fTanLambda; // tangent of dip angle
211	Double_t fPhi; // initial direction of transverse momentum
212
213	AliITSnode **fNode; // pointers to track elements
214
215	};
216	/* End of AliITStrackANN class */
217
218	/* Geometry setter */
219	void SetITSgeom(AliITSgeom geom) {fGeom = (AliITSgeom)geom;}
220
221	/* Flag setter */
222	void SetMessageLevel(Int_t lev) {fMsgLevel = lev;}
223
224	/* Cut setters */
225	void SetCuts(Int_t ncurv = 0, Double_t *curv = 0, // curvature (number of cuts and array)
226	Double_t *theta2D = 0, // cut in theta 2D (rho-z)
227	Double_t *theta3D = 0, // cut in theta 3D (x-y-z)
228	Double_t *helix = 0); // cut for helix-matching
229
230	/* Setter for overall Theta cut */
231	void SetPolarInterval(Double_t dtheta) {fPolarInterval=dtheta;}
232
233	/* Neural work-flow setters */
234	void SetActThreshold(Double_t val) {fActMinimum = val;}
235	void SetWeightExponent(Double_t a) {fExponent = a;}
236	void SetGainToCostRatio(Double_t a) {fGain2CostRatio = a;}
237	void SetInitInterval(Double_t a, Double_t b) {fEdge1 = a; fEdge2 = b;}
238	void SetTemperature(Double_t a) {fTemperature = a;}
239	void SetVariationLimit(Double_t a) {fStabThreshold = a;}
240
241	/* Vertex setter */
242	void SetVertex(Double_t x, Double_t y, Double_t z) {fVertexX=x;fVertexY=y;fVertexZ=z;}
243
244	/* Node management for neural network creation */
245	Bool_t GetGlobalXYZ(Int_t refClust,
246	Double_t &x, Double_t &y, Double_t &z,
247	Double_t &ex2, Double_t &ey2, Double_t &ez2);
248	AliITSnode* AddNode(Int_t index);
249	void CreateArrayStructure(Int_t nsecs);
250	Int_t ArrangePoints(char *exportFile = 0);
251	void StoreOverallMatches();
252	Bool_t PassCurvCut(AliITSnode p1, AliITSnode p2, Int_t curvStep, Double_t vx, Double_t vy, Double_t vz);
253	Int_t PassAllCuts(AliITSnode p1, AliITSnode p2, Int_t curvStep, Double_t vx, Double_t vy, Double_t vz);
254	void PrintMatches(Bool_t stop = kTRUE);
255
256	/* Neural tracking operations */
257	// void NeuralTracking(const char* filesave, TCanvas*& display);
258	void ResetNodes(Int_t isector);
259	Int_t CreateNetwork(Int_t sector, Int_t curvStep); // create network
260	Int_t CreateNeurons(AliITSnode *node, Int_t curvStep, Double_t vx, Double_t vy, Double_t vz); // create neurons starting from given point
261	Int_t LinkNeurons(); // create neural connections
262	Bool_t Update(); // an updating cycle
263	void FollowChains(Int_t sector); // follows the chains of active neurons
264	Int_t SaveTracks(Int_t sector); // saves the found tracks
265	void CleanNetwork(); // removes deactivated units and resolve competitions
266	//Int_t Save(Int_t sector); // save found tracks for # sector
267	Int_t StoreTracks(); // save found tracks for # sector
268
269	/* Fit procedures */
270	void ExportTracks(const char *file) const;
271
272	private:
273
274	/* Neural synaptic weight */
275	Double_t Weight(AliITSneuron nAB, AliITSneuron nBC);
276
277	/* Usefuls constant angle values */
0db9364f	278	static const Double_t fgkPi; // pi
	279	static const Double_t fgkHalfPi; // pi / 2
	280	static const Double_t fgkTwoPi; // 2 * pi
cec46807	281
	282	/* Primary vertex position */
	283	Double_t fVertexX; // X
	284	Double_t fVertexY; // Y
	285	Double_t fVertexZ; // Z
	286
	287	/* ITS barrel sectioning */
	288	Int_t fSectorNum; // number of azimutal sectors
	289	Double_t fSectorWidth; // width of barrel sector (in RAD) [used internally]
	290	Double_t fPolarInterval; // width of a polar sector (in DEGREES)
	291
	292	/* Cuts */
	293	Double_t fThetaCut2D[5]; // upper edge of theta cut range (in DEGREES)
	294	Double_t fThetaCut3D[5]; // upper edge of theta cut range (in DEGREES)
	295	Double_t fHelixMatchCut[5]; // lower edge of helix matching cut range
	296	Int_t fCurvNum; // # of curvature cut steps
	297	Double_t *fCurvCut; //! value of all curvature cuts
	298
	299	/* Neural network work-flow parameters */
	300	Double_t fActMinimum; // minimum activation to turn 'on' the unit at the end
	301	Double_t fEdge1, fEdge2; // initialization interval for activations
	302	Double_t fStabThreshold; // stability threshold
	303	Double_t fTemperature; // slope in logistic function
	304	Double_t fGain2CostRatio; // ratio between inhibitory and excitory contributions
	305	Double_t fExponent; // alignment-dependent weight term
	306
	307	/* Object arrays for data storing and related counters */
	308	Int_t fNLayers; // Number of ITS layers
	309	Int_t *fFirstModInLayer; //! Index of first module index for each layer
	310	TArrayI **fIndexMap; //! Map of cluster indexes (in AliITSlayer) with reference to
	311	// the location in the cluster Tree (module, pos in array)
	312	Int_t fTrackClust[6]; // Track point in layers
	313	TObjArray *fFoundTracks; //! Found tracks
	314	TObjArray ***fNodes; //! recpoints arranged into sectors for processing
	315	TObjArray *fNeurons; //! neurons
	316
	317	/* Flags */
	318	Int_t fMsgLevel; // To allow the on-screen printing of messages
	319	Bool_t fStructureOK; // Check if the nested TObjArray structure of nodes is created
	320
	321	/* ALICE related objects */
	322	AliITSgeom *fGeom; //! ITS Geometry
	323
0db9364f	324	friend class AliITStrackerANN::AliITStrackANN;
0db9364f	325
cec46807	326	/* ROOT class implementation routines */
	327	ClassDef(AliITStrackerANN, 1)
	328	};
	329
	330	#endif