[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     = 3.141592653; // pi
	static const Double_t fgkHalfPi = 1.570796327; // pi / 2
	static const Double_t fgkTwoPi  = 6.283185307; // 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
	
	/* 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
	19	/* Constructors */
	20	AliITStrackerANN() : AliITStrackerV2() { /* does nothing */ };
	21	AliITStrackerANN(const AliITSgeom *geom, Int_t msglev = 0);
	22	AliITStrackerANN(const AliITStrackerANN &n) : AliITStrackerV2((AliITStrackerV2&)n)
	23	{ /* nothing */ }
	24	AliITStrackerANN& operator=(const AliITStrackerANN& /arg/)
	25	{ return *this; }
	26
	27	/* Destructor */
	28	// virtual ~AliITStrackerANN();
	29
	30
	31	/*********************************************
	32	>> AliITSnode <<
	33	----------------
	34	An ITS point in the global reference frame.
	35	*********************************************/
	36	class AliITSnode : public TObject {
	37	public:
	38
	39	AliITSnode();
	40	~AliITSnode();
	41	AliITSnode(const AliITSnode &n) : TObject((TObject&)n)
	42	{ /* nothing */ }
	43	AliITSnode& operator=(const AliITSnode& /arg/)
	44	{ return *this; }
	45
	46	/* (NODE) Function to extract layer info from cluster index */
	47	Int_t GetLayer() const {Int_t lay = (fClusterRef & 0xf0000000) >> 28; return lay;}
	48
	49	/* (NODE) Getter and Setter for the 'fUsed' flag */
	50	Bool_t IsUsed() const {return fUsed;}
	51	void Use() {fUsed = kTRUE;}
	52
	53	/* (NODE) Geometrical functions */
	54	Double_t GetR2() const {return TMath::Sqrt(GetR2sq());} // xy radius
	55	Double_t GetR3() const {return TMath::Sqrt(GetR3sq());} // xyz radius
	56	Double_t GetR2sq() const {return fXfX+fYfY;} // xy radius^2
	57	Double_t GetR3sq() const {return GetR2sq()+fZ*fZ;} // xyz radius^2
	58	Double_t GetPhi() const;
	59	Double_t GetTheta() const {return TMath::ATan2(GetR2(),fZ);} // polar angle
	60	Double_t GetError(Option_t *opt); // errors on coords
	61
	62	/* Data members references */
	63	Double_t& X() {return fX;}
	64	Double_t& Y() {return fY;}
65	Double_t& Z() {return fZ;}
66	Double_t& ErrX2() {return fEX2;}
67	Double_t& ErrY2() {return fEY2;}
68	Double_t& ErrZ2() {return fEZ2;}
69	Int_t& ClusterRef() {return fClusterRef;}
70
71	TObjArray*& Matches() {return fMatches;}
72	TObjArray*& InnerOf() {return fInnerOf;}
73	TObjArray*& OuterOf() {return fOuterOf;}
74	AliITSnode*& Next() {return fNext;}
75	AliITSnode*& Prev() {return fPrev;}
76
77	private:
78
79	Double_t fX; // X in global reference system
80	Double_t fY; // Y in global reference system
81	Double_t fZ; // Z in global reference system
82	Double_t fEX2; // X error in global reference system
83	Double_t fEY2; // Y error in global reference system
84	Double_t fEZ2; // Z error in global reference system
85
86	Bool_t fUsed; // usage flag
87	Int_t fClusterRef; // reference index for related cluster
88	TObjArray *fMatches; //! array of well-matched cluster indexes
89	TObjArray fInnerOf; //! array of neurons starting from this
90	TObjArray fOuterOf; //! array of neurons entering this
91	AliITSnode *fNext; //! pointer to the next node in the found track
92	AliITSnode *fPrev; //! pointer to the previous node in the found track
93
94	};
95	/* End of AliITSnode class */
96
97
98	/***************************************
99	>> AliITSneuron <<
100	------------------
101	A single unit in the neural network.
102	***************************************/
103	class AliITSneuron : public TObject {
104	public:
105
106	/* (NEURON) Constructor: alocates the sequenced units array */
107	AliITSneuron() : fUsed(0), fActivation(0.), fInner(0), fOuter(0), fGain(0)
108	{fGain = new TObjArray;}
109	AliITSneuron(AliITSnode inner, AliITSnode outer, Double_t minAct, Double_t maxAct);
110	AliITSneuron(const AliITSneuron &n) : TObject((TObject&)n)
111	{ /* nothing */ }
112	AliITSneuron& operator=(const AliITSneuron& /arg/)
113	{ return *this; }
114
115
116	/* (NEURON) Destructor: frees memory from dynamic allocated objects */
117	virtual ~AliITSneuron()
118	{ fInner = fOuter = 0; fGain->SetOwner(kFALSE); fGain->Clear(); delete fGain; }
119
120	/* Compute neural activation from the network */
121	Double_t Activate(Double_t temperature);
122
123	/* Data members references */
124	Int_t& Used() {return fUsed;}
125	Double_t& Activation() {return fActivation;}
126	AliITSnode*& Inner() {return fInner;}
127	AliITSnode*& Outer() {return fOuter;}
128	TObjArray*& Gain() {return fGain;}
129
130	private:
131
132	Int_t fUsed; // utility flag
133	Double_t fActivation; // Activation value
134	AliITSnode *fInner; //! inner point
135	AliITSnode *fOuter; //! outer point
136	TObjArray *fGain; //! list of sequenced units
137
138	};
139	/* End of NEURON class */
140
141
142	/**************************************************
143	>> AliITSlink <<
144	----------------
145	A synaptic connected unit in the neural network.
146	**************************************************/
147	class AliITSlink : public TObject {
148	public:
149
150	AliITSlink() {fWeight = 0.0; fLinked = 0;}
151	AliITSlink(Double_t w, AliITSneuron *n) : fWeight(w), fLinked(n) { }
152	virtual ~AliITSlink() {fLinked = 0;}
153	AliITSlink(const AliITSlink &n) : TObject((TObject&)n)
154	{ /* nothing */ }
155	AliITSlink& operator=(const AliITSlink& /arg/)
156	{ return *this; }
157
158	/* contribution */
159	Double_t Contribution() {return fLinked->Activation() * fWeight;}
160
161	private:
162
163	Double_t fWeight; // Weight value
164	AliITSneuron *fLinked; //! Connected neuron
165
166	};
167	/* End of AliITSlink class */
168
169	/**************************************
170	>> AliITStrackANN <<
171	----------------
172	A track found by the neural network.
173	**************************************/
174	class AliITStrackANN : public TObject {
175	public:
176
177	AliITStrackANN(Int_t dim = 0);
178	AliITStrackANN(const AliITStrackANN &n) : TObject((TObject&)n)
179	{ /* nothing */ }
180	AliITStrackANN& operator=(const AliITStrackANN& /arg/)
181	{ return *this; }
182
183	Double_t& XCenter() {return fXCenter;}
184	Double_t& YCenter() {return fYCenter;}
185	Double_t& Radius() {return fRadius;}
186	Double_t& Curv() {return fCurv;}
187	Double_t& ImpactParameterTrans() {return fDTrans;}
188	Double_t& ImpactParameterLong() {return fDLong;}
189	Double_t& TanLambda() {return fTanLambda;}
190	Double_t& Phi() {return fPhi;}
191
192	AliITSnode* operator[](Int_t i) const {return ((i>=0&&i<fNPoints)?fNode[i]:0);}
193	AliITSnode* GetNode(Int_t i) const {return ((i>=0&&i<fNPoints)?fNode[i]:0);}
194	void SetNode(Int_t i, AliITSnode*& ref) {if (i>=0&&i<fNPoints) fNode[i] = ref;}
195
196	Int_t CheckOccupation() const;
197	Bool_t RiemannFit();
198
199	private:
200
201	Int_t fNPoints; // nuber of track elements
202
203	Double_t fXCenter; // X of bending circle center
204	Double_t fYCenter; // Y of bending circle center
205	Double_t fRadius; // radius of bending circle
206	Double_t fCurv; // signed curvature of bending circle
207	Double_t fDTrans; // transverse impact parameter
208	Double_t fDLong; // longitudinal impact parameter
209	Double_t fTanLambda; // tangent of dip angle
210	Double_t fPhi; // initial direction of transverse momentum
211
212	AliITSnode **fNode; // pointers to track elements
213
214	};
215	/* End of AliITStrackANN class */
216
217	/* Geometry setter */
218	void SetITSgeom(AliITSgeom geom) {fGeom = (AliITSgeom)geom;}
219
220	/* Flag setter */
221	void SetMessageLevel(Int_t lev) {fMsgLevel = lev;}
222
223	/* Cut setters */
224	void SetCuts(Int_t ncurv = 0, Double_t *curv = 0, // curvature (number of cuts and array)
225	Double_t *theta2D = 0, // cut in theta 2D (rho-z)
226	Double_t *theta3D = 0, // cut in theta 3D (x-y-z)
227	Double_t *helix = 0); // cut for helix-matching
228
229	/* Setter for overall Theta cut */
230	void SetPolarInterval(Double_t dtheta) {fPolarInterval=dtheta;}
231
232	/* Neural work-flow setters */
233	void SetActThreshold(Double_t val) {fActMinimum = val;}
234	void SetWeightExponent(Double_t a) {fExponent = a;}
235	void SetGainToCostRatio(Double_t a) {fGain2CostRatio = a;}
236	void SetInitInterval(Double_t a, Double_t b) {fEdge1 = a; fEdge2 = b;}
237	void SetTemperature(Double_t a) {fTemperature = a;}
238	void SetVariationLimit(Double_t a) {fStabThreshold = a;}
239
240	/* Vertex setter */
241	void SetVertex(Double_t x, Double_t y, Double_t z) {fVertexX=x;fVertexY=y;fVertexZ=z;}
242
243	/* Node management for neural network creation */
244	Bool_t GetGlobalXYZ(Int_t refClust,
245	Double_t &x, Double_t &y, Double_t &z,
246	Double_t &ex2, Double_t &ey2, Double_t &ez2);
247	AliITSnode* AddNode(Int_t index);
248	void CreateArrayStructure(Int_t nsecs);
249	Int_t ArrangePoints(char *exportFile = 0);
250	void StoreOverallMatches();
251	Bool_t PassCurvCut(AliITSnode p1, AliITSnode p2, Int_t curvStep, Double_t vx, Double_t vy, Double_t vz);
252	Int_t PassAllCuts(AliITSnode p1, AliITSnode p2, Int_t curvStep, Double_t vx, Double_t vy, Double_t vz);
253	void PrintMatches(Bool_t stop = kTRUE);
254
255	/* Neural tracking operations */
256	// void NeuralTracking(const char* filesave, TCanvas*& display);
257	void ResetNodes(Int_t isector);
258	Int_t CreateNetwork(Int_t sector, Int_t curvStep); // create network
259	Int_t CreateNeurons(AliITSnode *node, Int_t curvStep, Double_t vx, Double_t vy, Double_t vz); // create neurons starting from given point
260	Int_t LinkNeurons(); // create neural connections
261	Bool_t Update(); // an updating cycle
262	void FollowChains(Int_t sector); // follows the chains of active neurons
263	Int_t SaveTracks(Int_t sector); // saves the found tracks
264	void CleanNetwork(); // removes deactivated units and resolve competitions
265	//Int_t Save(Int_t sector); // save found tracks for # sector
266	Int_t StoreTracks(); // save found tracks for # sector
267
268	/* Fit procedures */
269	void ExportTracks(const char *file) const;
270
271	private:
272
273	/* Neural synaptic weight */
274	Double_t Weight(AliITSneuron nAB, AliITSneuron nBC);
275
276	/* Usefuls constant angle values */
277	static const Double_t fgkPi = 3.141592653; // pi
278	static const Double_t fgkHalfPi = 1.570796327; // pi / 2
279	static const Double_t fgkTwoPi = 6.283185307; // 2 * pi
280
281	/* Primary vertex position */
282	Double_t fVertexX; // X
283	Double_t fVertexY; // Y
284	Double_t fVertexZ; // Z
285
286	/* ITS barrel sectioning */
287	Int_t fSectorNum; // number of azimutal sectors
288	Double_t fSectorWidth; // width of barrel sector (in RAD) [used internally]
289	Double_t fPolarInterval; // width of a polar sector (in DEGREES)
290
291	/* Cuts */
292	Double_t fThetaCut2D[5]; // upper edge of theta cut range (in DEGREES)
293	Double_t fThetaCut3D[5]; // upper edge of theta cut range (in DEGREES)
294	Double_t fHelixMatchCut[5]; // lower edge of helix matching cut range
295	Int_t fCurvNum; // # of curvature cut steps
296	Double_t *fCurvCut; //! value of all curvature cuts
297
298	/* Neural network work-flow parameters */
299	Double_t fActMinimum; // minimum activation to turn 'on' the unit at the end
300	Double_t fEdge1, fEdge2; // initialization interval for activations
301	Double_t fStabThreshold; // stability threshold
302	Double_t fTemperature; // slope in logistic function
303	Double_t fGain2CostRatio; // ratio between inhibitory and excitory contributions
304	Double_t fExponent; // alignment-dependent weight term
305
306	/* Object arrays for data storing and related counters */
307	Int_t fNLayers; // Number of ITS layers
308	Int_t *fFirstModInLayer; //! Index of first module index for each layer
309	TArrayI **fIndexMap; //! Map of cluster indexes (in AliITSlayer) with reference to
310	// the location in the cluster Tree (module, pos in array)
311	Int_t fTrackClust[6]; // Track point in layers
312	TObjArray *fFoundTracks; //! Found tracks
313	TObjArray ***fNodes; //! recpoints arranged into sectors for processing
314	TObjArray *fNeurons; //! neurons
315
316	/* Flags */
317	Int_t fMsgLevel; // To allow the on-screen printing of messages
318	Bool_t fStructureOK; // Check if the nested TObjArray structure of nodes is created
319
320	/* ALICE related objects */
321	AliITSgeom *fGeom; //! ITS Geometry
322
323	/* ROOT class implementation routines */
324	ClassDef(AliITStrackerANN, 1)
325	};
326
327	#endif