testBGReduction_By_ANN.C File Reference

Functions
TMLPAnalyzer	ana (mlp)
simu2	Branch ("ANNOUT", &ANNOUT, "ANNOUT/D")
simu	Branch ("chi2", &chi2, "chi2/F")
simu	Branch ("TT", &TT, "TT/F")
simu	Branch ("type", &type, "type/I")
simu	Branch ("W", &W, "W/I")
canv	cd ()
canv	cd (1)
canv	cd (2)
canv	cd (3)
mlpa_canvas	cd (4)
ana	CheckNetwork ()
mlpa_canvas	Divide (2, 2)
canv	Divide (3, 1)
simu2	Draw ("ANNOUT")
simu2	Draw ("chi2","ANNOUT>0.2","same")
simu	Draw ("chi2","type==0")
simu	Draw ("chi2:W","","box")
simu	Draw ("chi2:W","type==0","samebox")
simu2	Draw ("chi2:W>>h2all(100,0,50,100,0,5)","","colz")
simu2	Draw ("chi2:W>>h2bg(100,0,50,100,0,5)","ANNOUT<0.2","colz")
simu2	Draw ("chi2:W>>h2sg(100,0,50,100,0,5)","ANNOUT>0.2","colz")
simu2	Draw ("TT","ANNOUT>0.2","same")
simu	Draw ("TT","type==0")
simu2	Draw ("W","ANNOUT>0.2","same")
simu	Draw ("W","type==0")
mlp	Draw ()
ana	DrawDInputs ()
ana	DrawNetwork (0,"type==1","type==0")
	for (int n=0;n< ali->Npatterns();n++)
ana	GatherInformations ()
mlp	LoadWeights ("testweights.txt")
ali	Print ()

Variables
EdbPVRec *	ali = ePVR
Double_t	ANNOUT
TCanvas *	canv = new TCanvas()
TCanvas *	canv2 = new TCanvas()
TCanvas *	canv2all = new TCanvas()
TCanvas *	canv2bg = new TCanvas()
TCanvas *	canv2sg = new TCanvas()
Float_t	chi2
	ePVR = new EdbPVRec
TMultiLayerPerceptron *	mlp = new TMultiLayerPerceptron("@chi2,@W,@TT:5:3:type",simu,"Entry$%2","(Entry$+1)%2")
TCanvas *	mlpa_canvas = new TCanvas("mlpa_canvas","Network analysis")
Double_t	params [3]
TTree *	simu = new TTree()
TTree *	simu2 = new TTree()
Float_t	TT
Int_t	type
Int_t	W

Function Documentation

ana()

TMLPAnalyzer ana

(

mlp

)

Branch() [1/5]

simu2 Branch	(	"ANNOUT"	,
		&	ANNOUT,
		"ANNOUT/D"
	)

Branch() [2/5]

simu2 Branch	(	"chi2"	,
		&	chi2,
		"chi2/F"
	)

Branch() [3/5]

simu2 Branch	(	"TT"	,
		&	TT,
		"TT/F"
	)

Branch() [4/5]

simu2 Branch	(	"type"	,
		&	type,
		"type/I"
	)

Branch() [5/5]

simu2 Branch	(	"W"	,
		&	W,
		"W/I"
	)

cd() [1/5]

canv cd

(

)

cd() [2/5]

canv cd

(

1

)

cd() [3/5]

canv cd

(

2

)

cd() [4/5]

canv cd

(

3

)

cd() [5/5]

mlpa_canvas cd

(

4

)

CheckNetwork()

ana CheckNetwork

(

)

Divide() [1/2]

mlpa_canvas Divide	(	2	,
		2
	)

Divide() [2/2]

canv Divide	(	3	,
		1
	)

Draw() [1/13]

simu2 Draw

(

"ANNOUT"

)

Draw() [2/13]

simu2 Draw	(	"chi2"	,
		"	ANNOUT,
		0.2"	,
		"same"
	)

Draw() [3/13]

simu2 Draw

(

"chi2"

)

Draw() [4/13]

simu Draw	(	"chi2:W"	,
		""	,
		"box"
	)

Draw() [5/13]

simu Draw

(

"chi2:W"

)

Draw() [6/13]

simu2 Draw	(	"chi2:W>>h2all(100,0,50,100,0,5)"	,
		""	,
		"colz"
	)

Draw() [7/13]

simu2 Draw

(

"chi2:W>>h2bg(100,0,50,100,0,5)"

)

Draw() [8/13]

simu2 Draw	(	"chi2:W>>h2sg(100,0,50,100,0,5)"	,
		"	ANNOUT,
		0.2"	,
		"colz"
	)

Draw() [9/13]

simu2 Draw	(	"TT"	,
		"	ANNOUT,
		0.2"	,
		"same"
	)

Draw() [10/13]

simu2 Draw

(

"TT"

)

Draw() [11/13]

simu2 Draw	(	"W"	,
		"	ANNOUT,
		0.2"	,
		"same"
	)

Draw() [12/13]

simu2 Draw

(

"W"

)

Draw() [13/13]

mlp Draw

(

)

DrawDInputs()

ana DrawDInputs

(

)

DrawNetwork()

ana DrawNetwork

(

0

)

for()

for

(

int

n = 0; n<ali->Npatterns(); n++

)

                                       {
 
EdbPattern* pat = (EdbPattern*)ali->GetPattern(n);
            Int_t npat=pat->N();
            EdbSegP* seg=0;
   for (int j=0; j<npat; j++) {
                seg=pat->GetSegment(j);
        TT = seg->Theta();
        chi2 = seg->Chi2();
        W = seg->W();
        if (seg->MCEvt()>0) type = 1;
        if (seg->MCEvt()<0) type = 0;
       simu->Fill();
   }
 n++;
}

GatherInformations()

ana GatherInformations

(

)

LoadWeights()

mlp LoadWeights

(

"testweights.txt"

)

Print()

ali Print

(

)

Variable Documentation

ali

EdbPVRec* ali = ePVR

ANNOUT

Double_t ANNOUT

canv

TCanvas * canv = new TCanvas()

canv2

TCanvas* canv2 = new TCanvas()

canv2all

TCanvas* canv2all = new TCanvas()

canv2bg

TCanvas* canv2bg = new TCanvas()

canv2sg

TCanvas* canv2sg = new TCanvas()

chi2

Float_t chi2

ePVR

dproc ReadTracksTree * ePVR = new EdbPVRec

mlp

TMultiLayerPerceptron* mlp = new TMultiLayerPerceptron("@chi2,@W,@TT:5:3:type",simu,"Entry$%2","(Entry$+1)%2")

mlpa_canvas

TCanvas* mlpa_canvas = new TCanvas("mlpa_canvas","Network analysis")

params

Double_t params[3]

simu

TTree* simu = new TTree()

simu2

TTree* simu2 = new TTree()

TT

Float_t TT

type

Int_t type

W

Int_t W