90 _showProgress(showProg)
99 if(0 != strlen(
f.getUnit()) || 0 != strlen(
x.getUnit())) {
101 if(0 != strlen(
f.getUnit())) {
105 if(0 != strlen(
x.getUnit())) {
116 funcPtr=
f.bindVars(
x,normVars,
kTRUE);
119 if(scaleFactor != 1) {
123 assert(0 != funcPtr);
129 list<Double_t>* hint =
f.plotSamplingHint(
x,xlo,xhi) ;
130 addPoints(*funcPtr,xlo,xhi,xbins+1,prec,resolution,wmode,nEvalError,doEEVal,eeVal,hint);
132 ccoutP(Plotting) << endl ;
140 int nBinsX =
x.numBins();
141 for(
int i=0; i<nBinsX; ++i){
142 double xval =
x.getBinning().binCenter(i);
150 if(rawPtr)
delete rawPtr;
154 for (
int i=0 ; i<
GetN() ; i++) {
177 addPoints(func,xlo,xhi,minPoints+1,prec,resolution,wmode,nEvalError,doEEVal,eeVal);
182 for (
int i=0 ; i<
GetN() ; i++) {
211 deque<Double_t> pointList ;
216 for (i1=0 ; i1<n1 ; i1++) {
217 c1.GetPoint(i1,
x,
y) ;
218 pointList.push_back(
x) ;
223 for (i2=0 ; i2<n2 ; i2++) {
224 c2.GetPoint(i2,
x,
y) ;
225 pointList.push_back(
x) ;
229 sort(pointList.begin(),pointList.end()) ;
233 for (
auto point : pointList) {
235 if ((point-last)>1
e-10) {
237 addPoint(point,scale1*
c1.interpolate(point)+scale2*
c2.interpolate(point)) ;
280 for (i=1 ; i<
GetN()-1 ; i++) {
283 if (
y<minVal) minVal=
y ;
284 if (
y>maxVal) maxVal=
y ;
288 for (i=1 ; i<
GetN()-1 ; i++) {
315 coutE(InputArguments) <<
fName <<
"::addPoints: input function is not valid" << endl;
318 if(minPoints <= 0 || xhi <= xlo) {
319 coutE(InputArguments) <<
fName <<
"::addPoints: bad input (nothing added)" << endl;
328 minPoints = samplingHint->size() ;
331 Double_t dx= (xhi-xlo)/(minPoints-1.);
332 std::vector<double> yval(minPoints);
336 std::vector<double> xval;
338 for(
int step= 0; step < minPoints; step++) {
339 xval.push_back(xlo + step*dx) ;
342 std::copy(samplingHint->begin(), samplingHint->end(), std::back_inserter(xval));
345 for (
unsigned int step=0; step < xval.size(); ++step) {
347 if (step ==
static_cast<unsigned int>(minPoints-1))
350 yval[step]= func(&xx);
358 coutW(Plotting) <<
"At observable [x]=" << xx <<
" " ;
368 const double ymax = *std::max_element(yval.begin(), yval.end());
369 const double ymin = *std::min_element(yval.begin(), yval.end());
373 Double_t minDx= resolution*(xhi-xlo);
388 auto iter2 = xval.begin() ;
394 if (iter2==xval.end()) {
402 addRange(func,
x1,
x2,yval[step-1],yval[step],prec*yrangeEst,minDx,numee,doEEVal,eeVal);
411 addPoint(xhi+dx,yval[minPoints-1]) ;
430 if (fabs(
x2-
x1)<1
e-20) {
444 coutW(Plotting) <<
"At observable [x]=" << xmid <<
" " ;
455 if((xmid -
x1 >= minDx) && fabs(dy)>0 && fabs(dy) >= minDy) {
457 addRange(func,
x1,xmid,y1,ymid,minDy,minDx,numee,doEEVal,eeVal);
458 addRange(func,xmid,
x2,ymid,y2,minDy,minDx,numee,doEEVal,eeVal);
532 os << IsA()->GetName() ;
542 os <<
indent <<
"--- RooCurve ---" << endl ;
544 os <<
indent <<
" Contains " <<
n <<
" points" << endl;
545 os <<
indent <<
" Graph points:" << endl;
546 for(
Int_t i= 0; i <
n; i++) {
547 os <<
indent << setw(3) << i <<
") x = " <<
fX[i] <<
" , y = " <<
fY[i] << endl;
572 for (i=0 ; i<np ; i++) {
578 if (x<xstart || x>xstop) continue ;
590 Double_t pull = (
y>avg) ? ((
y-avg)/eyl) : ((
y-avg)/eyh) ;
597 return chisq / (nbin-nFitParam) ;
609 coutE(InputArguments) <<
"RooCurve::average(" <<
GetName()
610 <<
") invalid range (" << xFirst <<
"," << xLast <<
")" << endl ;
621 Double_t xFirstPt,yFirstPt,xLastPt,yLastPt ;
622 GetPoint(ifirst,xFirstPt,yFirstPt) ;
628 if (ilast-ifirst==1 &&(xFirstPt-xFirst)<-1*tolerance && (xLastPt-xLast)>tolerance) {
629 return 0.5*(yFirst+yLast) ;
634 if ((xFirstPt-xFirst)<-1*tolerance) {
641 if ((xLastPt-xLast)>tolerance) {
649 sum += (xFirstPt-xFirst)*(yFirst+yFirstPt)/2 ;
653 for (i=ifirst ; i<ilast ; i++) {
660 sum += (xLast-xLastPt)*(yLastPt+yLast)/2 ;
661 return sum/(xLast-xFirst) ;
672 Double_t delta(std::numeric_limits<double>::max()),
x,
y ;
675 for (i=0 ; i<
n ; i++) {
677 if (fabs(xvalue-
x)<delta) {
678 delta = fabs(xvalue-
x) ;
683 return (delta<tolerance)?ibest:-1 ;
703 if (fabs(xbest-xvalue)<tolerance) {
715 if (xother==xbest)
return ybest ;
716 retVal = ybest + (yother-ybest)*(xvalue-xbest)/(xother-xbest) ;
724 if (xother==xbest)
return ybest ;
725 retVal = yother + (ybest-yother)*(xvalue-xother)/(xbest-xother) ;
747 vector<double> bandLo(
GetN()) ;
748 vector<double> bandHi(
GetN()) ;
749 for (
int i=0 ; i<
GetN() ; i++) {
753 for (
int i=0 ; i<
GetN() ; i++) {
756 for (
int i=
GetN()-1 ; i>=0 ; i--) {
787 vector<double> bandLo(
GetN()) ;
788 vector<double> bandHi(
GetN()) ;
789 for (
int i=0 ; i<
GetN() ; i++) {
793 for (
int i=0 ; i<
GetN() ; i++) {
796 for (
int i=
GetN()-1 ; i>=0 ; i--) {
820 vector<double> y_plus(plusVar.size()), y_minus(minusVar.size()) ;
822 for (vector<RooCurve*>::const_iterator iter=plusVar.begin() ; iter!=plusVar.end() ; ++iter) {
823 y_plus[j++] = (*iter)->interpolate(
GetX()[i]) ;
826 for (vector<RooCurve*>::const_iterator iter=minusVar.begin() ; iter!=minusVar.end() ; ++iter) {
827 y_minus[j++] = (*iter)->interpolate(
GetX()[i]) ;
834 for (j=0 ; j<
n ; j++) {
835 F[j] = (y_plus[j]-y_minus[j])/2 ;
841 lo= y_cen + sqrt(
sum) ;
842 hi= y_cen - sqrt(
sum) ;
851 vector<double>
y(variations.size()) ;
853 for (vector<RooCurve*>::const_iterator iter=variations.begin() ; iter!=variations.end() ; ++iter) {
854 y[j++] = (*iter)->interpolate(
GetX()[i]) ;
861 sort(
y.begin(),
y.end()) ;
863 hi =
y[
y.size()-delta] ;
867 for (
unsigned int k=0 ; k<
y.size() ; k++) {
869 sum_ysq +=
y[k]*
y[k] ;
872 sum_ysq /=
y.size() ;
874 Double_t rms = sqrt(sum_ysq - (sum_y*sum_y)) ;
875 lo =
GetY()[i] - Z*rms ;
892 for(
Int_t i= 0; i <
n; i++) {
901 for(
Int_t i= 2; i <
n-2; i++) {
903 Double_t rdy = fabs(yTest-other.
fY[i])/Yrange ;
906 if(!verbose)
continue;
907 cout <<
"RooCurve::isIdentical[" << std::setw(3) << i <<
"] Y tolerance exceeded (" << std::setprecision(5) << std::setw(10) << rdy <<
">" << tol <<
"),";
908 cout <<
" x,y=(" << std::right << std::setw(10) <<
fX[i] <<
"," << std::setw(10) <<
fY[i] <<
")\tref: y="
909 << std::setw(10) << other.
interpolate(
fX[i], 1.E-15) <<
". [Nearest point from ref: ";
911 std::cout <<
"j=" << j <<
"\tx,y=(" << std::setw(10) << other.
fX[j] <<
"," << std::setw(10) << other.
fY[j] <<
") ]" <<
"\trange=" << Yrange << std::endl;
static const double x2[5]
static const double x1[5]
static void indent(ostringstream &buf, int indent_level)
char * Form(const char *fmt,...)
The Kahan summation is a compensated summation algorithm, which significantly reduces numerical error...
Abstract interface for evaluating a real-valued function of one real variable and performing numerica...
RooAbsRealLValue is the common abstract base class for objects that represent a real value that may a...
RooAbsReal is the common abstract base class for objects that represent a real value and implements f...
static Int_t numEvalErrors()
Return the number of logged evaluation errors since the last clearing.
static void printEvalErrors(std::ostream &os=std::cout, Int_t maxPerNode=10000000)
Print all outstanding logged evaluation error on the given ostream.
static void clearEvalErrorLog()
Clear the stack of evaluation error messages.
RooArgSet is a container object that can hold multiple RooAbsArg objects.
A RooCurve is a one-dimensional graphical representation of a real-valued function.
void addPoints(const RooAbsFunc &func, Double_t xlo, Double_t xhi, Int_t minPoints, Double_t prec, Double_t resolution, WingMode wmode, Int_t numee=0, Bool_t doEEVal=kFALSE, Double_t eeVal=0., std::list< Double_t > *samplingHint=0)
Add points calculated with the specified function, over the range (xlo,xhi).
void initialize()
Perform initialization that is common to all curves.
void addPoint(Double_t x, Double_t y)
Add a point with the specified coordinates. Update our y-axis limits.
Double_t chiSquare(const RooHist &hist, int nFitParam) const
Calculate the chi^2/NDOF of this curve with respect to the histogram 'hist' accounting nFitParam floa...
Double_t average(Double_t lo, Double_t hi) const
Return average curve value in [xFirst,xLast] by integrating curve between points and dividing by xLas...
void addRange(const RooAbsFunc &func, Double_t x1, Double_t x2, Double_t y1, Double_t y2, Double_t minDy, Double_t minDx, Int_t numee=0, Bool_t doEEVal=kFALSE, Double_t eeVal=0.)
Fill the range (x1,x2) with points calculated using func(&x).
void shiftCurveToZero(Double_t prevYMax)
Find lowest point in curve and move all points in curve so that lowest point will go exactly through ...
Bool_t isIdentical(const RooCurve &other, Double_t tol=1e-6, bool verbose=true) const
Return true if curve is identical to other curve allowing for given absolute tolerance on each point ...
virtual ~RooCurve()
Destructor.
RooCurve * makeErrorBand(const std::vector< RooCurve * > &variations, Double_t Z=1) const
Construct filled RooCurve represented error band that captures alpha% of the variations of the curves...
virtual void printName(std::ostream &os) const
Print name of object.
RooCurve()
Default constructor.
Double_t getFitRangeNEvt() const
Return the number of events associated with the plotable object, it is always 1 for curves.
virtual void printClassName(std::ostream &os) const
Print the class name of this curve.
virtual void printMultiline(std::ostream &os, Int_t contents, Bool_t verbose=kFALSE, TString indent="") const
Print the details of this curve.
Double_t interpolate(Double_t x, Double_t tolerance=1e-10) const
Return linearly interpolated value of curve at xvalue.
virtual void printTitle(std::ostream &os) const
Print the title of this curve.
Int_t findPoint(Double_t value, Double_t tolerance=1e-10) const
Find the nearest point to xvalue.
Double_t getFitRangeBinW() const
Get the bin width associated with this plotable object.
void calcBandInterval(const std::vector< RooCurve * > &variations, Int_t i, Double_t Z, Double_t &lo, Double_t &hi, Bool_t approxGauss) const
A RooHist is a graphical representation of binned data based on the TGraphAsymmErrors class.
static Double_t infinity()
Return internal infinity representation.
Class RooPotable is a base class for objects that can be inserted into RooPlots and take advantage of...
Double_t getYAxisMin() const
void updateYAxisLimits(Double_t y)
Double_t getYAxisMax() const
void setYAxisLimits(Double_t ymin, Double_t ymax)
void setYAxisLabel(const char *label)
Lightweight RooAbsFunction implementation that applies a constant scale factor to another RooAbsFunc.
virtual void SetFillColor(Color_t fcolor)
Set the fill area color.
virtual void SetLineWidth(Width_t lwidth)
Set the line width.
virtual void SetLineColor(Color_t lcolor)
Set the line color.
virtual void SetBinLabel(Int_t bin, const char *label)
Set label for bin.
Bool_t IsAlphanumeric() const
const char * GetBinLabel(Int_t bin) const
Return label for bin.
virtual void Set(Int_t nbins, Double_t xmin, Double_t xmax)
Initialize axis with fix bins.
Double_t * GetEXhigh() const
Double_t * GetEYlow() const
Double_t * GetEXlow() const
Double_t * GetEYhigh() const
A TGraph is an object made of two arrays X and Y with npoints each.
virtual void SetPoint(Int_t i, Double_t x, Double_t y)
Set x and y values for point number i.
virtual void SetName(const char *name="")
Set graph name.
virtual void SetTitle(const char *title="")
Change (i.e.
Double_t * fY
[fNpoints] array of Y points
virtual void Sort(Bool_t(*greater)(const TGraph *, Int_t, Int_t)=&TGraph::CompareX, Bool_t ascending=kTRUE, Int_t low=0, Int_t high=-1111)
Sorts the points of this TGraph using in-place quicksort (see e.g.
TAxis * GetXaxis() const
Get x axis of the graph.
Double_t * fX
[fNpoints] array of X points
virtual Int_t GetPoint(Int_t i, Double_t &x, Double_t &y) const
Get x and y values for point number i.
virtual const char * GetTitle() const
Returns title of object.
virtual const char * GetName() const
Returns name of object.
const char * Data() const
TString & Append(const char *cs)
Double_t Erfc(Double_t x)
Compute the complementary error function erfc(x).
static uint64_t sum(uint64_t i)