2 #ifndef RIVET_Correlators_HH 3 #define RIVET_Correlators_HH 21 #include "Rivet/Analysis.hh" 22 #include "Rivet/Projection.hh" 23 #include "Rivet/Projections/ParticleFinder.hh" 24 #include "YODA/Scatter2D.h" 55 int pMaxIn = 0, vector<double> pTbinEdgesIn = {});
59 int pMaxIn,
const YODA::Scatter2D hIn);
75 bool overflow =
false)
const;
86 vector<int> n1, vector<int> n2)
const;
99 const vector<pair<double,double>>
100 pTBinnedCorrelatorsGap(
const Correlators& other, vector<int> n1, vector<int> n2,
bool overflow=
false)
const;
106 static vector<int>
hVec(
int n,
int m) {
108 cout <<
"Harmonic Vector: Number of particles must be an even number." << endl;
111 vector<int> ret = {};
112 for (
int i = 0; i < m; ++i) {
113 if (i < m/2) ret.push_back(n);
114 else ret.push_back(-n);
122 int nMax = 0, pMax = 0;
123 for (vector<int> h : hList) {
124 int tmpN = 0, tmpP = 0;
125 for (
int i = 0; i < int(h.size()); ++i) {
129 if (tmpN > nMax) nMax = tmpN;
130 if (tmpP > pMax) pMax = tmpP;
132 return make_pair(nMax,pMax);
136 DEFAULT_RIVET_PROJ_CLONE(Correlators);
146 const Correlators* other =
dynamic_cast<const Correlators*
>(&p);
147 if (nMax != other->nMax)
return CmpState::NEQ;
148 if (pMax != other->pMax)
return CmpState::NEQ;
149 if (pTbinEdges != other->pTbinEdges)
return CmpState::NEQ;
154 void fillCorrelators(
const Particle& p,
const double& weight);
157 const complex<double> getQ(
int n,
int p)
const {
158 bool isNeg = (n < 0);
159 if (isNeg)
return conj( qVec[abs(n)][p] );
160 else return qVec[n][p];
164 const complex<double> getP(
int n,
int p,
double pT = 0.)
const {
165 bool isNeg = (n < 0);
166 map<double, Vec2D>::const_iterator pTitr = pVec.lower_bound(pT);
167 if (pTitr == pVec.end())
return DBL_NAN;
168 if (isNeg)
return conj( pTitr->second[abs(n)][p] );
169 else return pTitr->second[n][p];
178 const complex<double> recCorr(
int order, vector<int> n,
179 vector<int> p,
bool useP,
double pT = 0.)
const;
185 const complex<double> twoPartCorr(
int n1,
int n2,
int p1 = 1,
186 int p2 = 1,
double pT = 0.,
bool useP =
false)
const;
192 const complex<double> _ZERO = {0., 0.};
193 const double _TINY = 1e-10;
196 typedef vector< vector<complex<double>> > Vec2D;
200 map<double, Vec2D> pVec;
206 vector<double> pTbinEdges;
227 static const int BOOT_BINS = 9;
244 virtual ~CorBinBase() {};
246 virtual void fill(
const pair<double, double>& cor,
const double& weight = 1.0) = 0;
247 virtual double mean()
const = 0;
256 class CorSingleBin :
public CorBinBase {
261 : _sumWX(0.), _sumW(0.), _sumW2(0.), _numEntries(0.)
270 void fill(
const pair<double, double>& cor,
const double& weight = 1.0) {
272 if (cor.second < 1e-10)
return;
275 _sumWX += cor.first * weight;
276 _sumW += weight * cor.second;
277 _sumW2 += weight * weight * cor.second * cor.second;
282 double mean()
const {
283 if (_sumW < 1e-10)
return 0;
284 return _sumWX / _sumW;
288 double sumW()
const {
293 double sumW2()
const {
298 double sumWX()
const {
303 double numEntries()
const {
308 void addContent(
double ne,
double sw,
double sw2,
double swx) {
318 double _sumWX, _sumW, _sumW2, _numEntries;
327 class CorBin :
public CorBinBase {
335 CorBin() :
binIndex(0), nBins(BOOT_BINS) {
336 for(
size_t i = 0; i < nBins; ++i) bins.push_back(CorSingleBin());
343 void fill(
const pair<double, double>& cor,
const double& weight = 1.0) {
345 if (cor.second < 1e-10)
return;
353 double mean()
const {
356 for (
auto b : bins) {
357 if (b.sumW() < 1e-10)
continue;
365 vector<CorSingleBin> getBins()
const {
370 template<
class T=CorBinBase>
371 vector<T*> getBinPtrs() {
372 vector<T*> ret(bins.size());
373 transform(bins.begin(), bins.end(), ret.begin(), [](CorSingleBin& b) {
return &b;});
379 vector<CorSingleBin> bins;
410 : h1(h), h2({}), binX(binIn), binContent(binIn.size() - 1), reference()
417 ECorrelator(vector<int> h1In, vector<int> h2In, vector<double> binIn)
418 : h1(h1In), h2(h2In), binX(binIn), binContent(binIn.size() - 1), reference()
423 int index = getBinIndex(obs);
424 if (index < 0)
return;
433 cout <<
"Trying to fill gapped correlator, but harmonics behind the gap (h2) are not given!" << endl;
436 int index = getBinIndex(obs);
437 if (index < 0)
return;
448 if (diffCorr.size() != binX.size() - 1)
449 cout <<
"Tried to fill event with wrong binning (ungapped)" << endl;
450 for (
size_t i = 0; i < diffCorr.size(); ++i) {
451 int index = getBinIndex(binX[i]);
452 if (index < 0)
return;
453 binContent[index].fill(diffCorr[i], weight);
464 cout <<
"Trying to fill gapped correlator, but harmonics behind " 465 "the gap (h2) are not given!" << endl;
470 if (diffCorr.size() != binX.size() - 1)
471 cout <<
"Tried to fill event with wrong binning (gapped)" << endl;
472 for (
size_t i = 0; i < diffCorr.size(); ++i) {
473 int index = getBinIndex(binX[i]);
474 if (index < 0)
return;
475 binContent[index].fill(diffCorr[i], weight);
487 vector<CorBinBase*> ret(binContent.size());
488 transform(binContent.begin(), binContent.end(), ret.begin(), [](CorBin& b) {
return &b;});
514 if (reference.mean() < 1e-10)
515 cout <<
"Warning: ECorrelator, reference bin is zero." << endl;
527 auto refs = reference.getBinPtrs<CorSingleBin>();
528 for (
size_t i = 0; i < profs.size(); ++i) {
529 if (yao->path() ==
"/RAW/"+name+
"/TMP/"+profs[i]) {
530 YODA::Profile1DPtr pPtr = dynamic_pointer_cast<YODA::Profile1D>(yao);
531 for (
size_t j = 0; j < binX.size() - 1; ++j) {
532 const YODA::ProfileBin1D& pBin = pPtr->binAt(binX[j]);
533 auto tmp = binContent[j].getBinPtrs<CorSingleBin>();
534 tmp[i]->addContent(pBin.numEntries(), pBin.sumW(), pBin.sumW2(),
538 const YODA::Dbn2D& uBin = pPtr->underflow();
539 refs[i]->addContent(uBin.numEntries(), uBin.sumW(), uBin.sumW2(),
550 int getBinIndex(
const double& obs)
const {
553 if (obs >= binX.back())
return -1;
555 if (obs < binX[0])
return -1;
557 for (
int i = 0, N = binX.size() - 1; i < N; ++i, ++index)
558 if (obs >= binX[i] && obs < binX[i + 1])
break;
568 vector<CorBin> binContent;
573 vector <string> profs;
580 vector< vector<int>> harmVecs;
581 for (
auto eItr = eCorrPtrs.begin(); eItr != eCorrPtrs.end(); ++eItr) {
582 vector<int> h1 = (*eItr)->getH1();
583 vector<int> h2 = (*eItr)->getH2();
584 if (h1.size() > 0) harmVecs.push_back(h1);
585 if (h2.size() > 0) harmVecs.push_back(h2);
587 if (harmVecs.size() == 0) {
588 cout <<
"Warning: You tried to extract max values from harmonic " 589 "vectors, but have not booked any." << endl;
590 return pair<int,int>();
601 vector<double> binIn;
602 for (
auto b : hIn.points()) binIn.push_back(b.xMin());
603 binIn.push_back(hIn.points().back().xMax());
604 return bookECorrelator(name, h, binIn);
610 ECorrPtr ecPtr = ECorrPtr(
new ECorrelator(h, binIn));
611 vector<string> eCorrProfs;
612 for (
int i = 0; i < BOOT_BINS; ++i) {
614 book(tmp,
"TMP/"+name+
"-"+to_string(i),binIn);
615 eCorrProfs.push_back(name+
"-"+to_string(i));
617 ecPtr->setProfs(eCorrProfs);
618 eCorrPtrs.push_back(ecPtr);
625 const vector<int>& h2, vector<double>& binIn) {
626 ECorrPtr ecPtr = ECorrPtr(
new ECorrelator(h1, h2, binIn));
627 vector<string> eCorrProfs;
628 for (
int i = 0; i < BOOT_BINS; ++i) {
630 book(tmp,
"TMP/"+name+
"-"+to_string(i),binIn);
631 eCorrProfs.push_back(name+
"-"+to_string(i));
633 ecPtr->setProfs(eCorrProfs);
634 eCorrPtrs.push_back(ecPtr);
641 const vector<int>& h2,
const YODA::Scatter2D& hIn ) {
642 vector<double> binIn;
643 for (
auto b : hIn.points()) binIn.push_back(b.xMin());
644 binIn.push_back(hIn.points().back().xMax());
645 return bookECorrelator(name, h1, h2, binIn);
653 const YODA::Scatter2D& hIn) {
654 const vector<int> h1(h.begin(), h.begin() + h.size() / 2);
655 const vector<int> h2(h.begin() + h.size() / 2, h.end());
656 return bookECorrelator(name, h1, h2, hIn);
663 template<
unsigned int N,
unsigned int M>
672 template<
unsigned int N,
unsigned int M>
681 template<
unsigned int N,
unsigned int M>
684 const vector<int> h1(h.begin(), h.begin() + h.size() / 2);
685 const vector<int> h2(h.begin() + h.size() / 2, h.end());
686 return bookECorrelator(name, h1, h2, hIn);
693 list<ECorrPtr> eCorrPtrs;
703 :
Analysis(n), errorMethod(VARIANCE)
714 static void fillScatter(Scatter2DPtr h, vector<double>& binx, T func) {
715 vector<YODA::Point2D> points;
717 bool hasBins = (h->points().size() > 0);
718 for (
int i = 0, N = binx.size() - 1; i < N; ++i) {
719 double xMid = (binx[i] + binx[i + 1]) / 2.0;
720 double xeMin = fabs(xMid - binx[i]);
721 double xeMax = fabs(xMid - binx[i + 1]);
723 xMid = h->points()[i].x();
724 xeMin = h->points()[i].xErrMinus();
725 xeMax = h->points()[i].xErrPlus();
727 double yVal = func(i);
728 if (std::isnan(yVal)) yVal = 0.;
730 points.push_back(YODA::Point2D(xMid, yVal, xeMin, xeMax, yErr, yErr));
734 for (
int i = 0, N = points.size(); i < N; ++i) h->addPoint(points[i]);
746 vector<pair<double, double> >& yErr)
const {
747 vector<YODA::Point2D> points;
749 bool hasBins = (h->points().size() > 0);
750 for (
int i = 0, N = binx.size() - 1; i < N; ++i) {
751 double xMid = (binx[i] + binx[i + 1]) / 2.0;
752 double xeMin = fabs(xMid - binx[i]);
753 double xeMax = fabs(xMid - binx[i + 1]);
755 xMid = h->points()[i].x();
756 xeMin = h->points()[i].xErrMinus();
757 xeMax = h->points()[i].xErrPlus();
759 double yVal = func(i);
760 if (std::isnan(yVal))
761 points.push_back(YODA::Point2D(xMid, 0., xeMin, xeMax,0., 0.));
763 points.push_back(YODA::Point2D(xMid, yVal, xeMin, xeMax,
764 yErr[i].first, yErr[i].second));
769 for (
int i = 0, N = points.size(); i < N; ++i)
770 h->addPoint(points[i]);
777 static void nthPow(Scatter2DPtr hOut,
const Scatter2DPtr hIn,
const double& n,
const double& k = 1.0) {
778 if (n == 0 || n == 1) {
779 cout <<
"Error: Do not take the 0th or 1st power of a Scatter2D," 780 " use scale instead." << endl;
783 if (hIn->points().size() != hOut->points().size()) {
784 cout <<
"nthRoot: Scatterplots: " << hIn->name() <<
" and " <<
785 hOut->name() <<
" not initialized with same length." << endl;
788 vector<YODA::Point2D> points;
790 double eFac = pow(k,1./n)/n;
791 for (
auto b : hIn->points()) {
792 double yVal = pow(k * b.y(),n);
793 if (std::isnan(yVal))
794 points.push_back(YODA::Point2D(b.x(), 0., b.xErrMinus(),
795 b.xErrPlus(), 0, 0 ));
797 double yemin = abs(eFac * pow(yVal,1./(n - 1.))) * b.yErrMinus();
798 if (std::isnan(yemin)) yemin = b.yErrMinus();
799 double yemax = abs(eFac * pow(yVal,1./(n - 1.))) * b.yErrPlus();
800 if (std::isnan(yemax)) yemax = b.yErrPlus();
801 points.push_back(YODA::Point2D(b.x(), yVal, b.xErrMinus(),
802 b.xErrPlus(), yemin, yemax ));
806 hOut->points().clear();
807 for (
int i = 0, N = points.size(); i < N; ++i)
808 hOut->addPoint(points[i]);
815 static void nthPow(Scatter2DPtr h,
const double& n,
const double& k = 1.0) {
816 if (n == 0 || n == 1) {
817 cout <<
"Error: Do not take the 0th or 1st power of a Scatter2D," 818 " use scale instead." << endl;
821 vector<YODA::Point2D> points;
822 vector<YODA::Point2D> pIn = h->points();
824 double eFac = pow(k,1./n)/n;
826 double yVal = pow(k * b.y(),n);
827 if (std::isnan(yVal))
828 points.push_back(YODA::Point2D(b.x(), 0., b.xErrMinus(),
829 b.xErrPlus(), 0, 0 ));
831 double yemin = abs(eFac * pow(yVal,1./(n - 1.))) * b.yErrMinus();
832 if (std::isnan(yemin)) yemin = b.yErrMinus();
833 double yemax = abs(eFac * pow(yVal,1./(n - 1.))) * b.yErrPlus();
834 if (std::isnan(yemax)) yemax = b.yErrPlus();
835 points.push_back(YODA::Point2D(b.x(), yVal, b.xErrMinus(),
836 b.xErrPlus(), yemin, yemax ));
841 for (
int i = 0, N = points.size(); i < N; ++i) h->addPoint(points[i]);
853 for (
int i = 0; i < BOOT_BINS; ++i) avg += func(i);
854 avg /= double(BOOT_BINS);
857 for (
int i = 0; i < BOOT_BINS; ++i) var += pow(func(i) - avg, 2.);
858 var /= (double(BOOT_BINS) - 1);
859 return pair<double, double>(var, var);
871 for (
int i = 0; i < BOOT_BINS; ++i) avg += func(i);
872 avg /= double(BOOT_BINS);
876 for (
int i = 0; i < BOOT_BINS; ++i) {
877 double yVal = func(i);
878 if (yMin > yVal) yMin = yVal;
879 else if (yMax < yVal) yMax = yVal;
881 return pair<double, double>(fabs(avg - yMin), fabs(yMax - avg));
888 if (errorMethod == VARIANCE)
return sampleVariance(func);
889 else if (errorMethod == ENVELOPE)
return sampleEnvelope(func);
891 cout <<
"Error: Error method not found!" << endl;
892 return pair<double, double>(0.,0.);
898 vector<CorBin> bins = e2->getBins();
899 vector<double> binx = e2->getBinX();
901 if (binx.size() - 1 != bins.size()){
902 cout <<
"cnTwoInt: Bin size (x,y) differs!" << endl;
905 vector<CorBinBase*> binPtrs;
907 auto cn = [&] (
int i) {
return binPtrs[i]->mean(); };
909 vector<pair<double, double> > yErr;
910 for (
int j = 0, N = bins.size(); j < N; ++j) {
911 binPtrs = bins[j].getBinPtrs();
912 yErr.push_back(sampleError(cn));
914 binPtrs = e2->getBinPtrs();
915 fillScatter(h, binx, cn, yErr);
937 void rawHookIn(YODA::AnalysisObjectPtr yao)
final {
939 for (
auto ec : eCorrPtrs)
if(ec->fillFromProfile(yao,
name()))
break;;
946 void rawHookOut(vector<MultiweightAOPtr> raos,
size_t iW)
final {
948 for (
auto ec : eCorrPtrs) {
949 vector<CorBin> corBins = ec->getBins();
950 vector<double> binx = ec->getBinX();
951 auto ref = ec->getReference();
952 auto refBins = ref.getBinPtrs<CorSingleBin>();
954 if (binx.size() - 1 != corBins.size()){
955 cout <<
"corrPlot: Bin size (x,y) differs!" << endl;
959 for (
int i = 0, N = ec->profs.size(); i < N; ++i) {
960 for (
auto rao : raos) {
961 if (rao->path() ==
"/"+
name()+
"/TMP/"+ec->profs[i]) {
963 rao.get()->setActiveWeightIdx(iW);
964 YODA::Profile1DPtr pPtr = dynamic_pointer_cast<YODA::Profile1D>(
965 rao.get()->activeYODAPtr());
967 vector<YODA::ProfileBin1D> profBins;
969 double ne = 0., sow = 0., sow2 = 0.;
970 for (
size_t j = 0, N = binx.size() - 1; j < N; ++j) {
971 vector<CorSingleBin*> binPtrs =
972 corBins[j].getBinPtrs<CorSingleBin>();
976 profBins.push_back( YODA::ProfileBin1D(pPtr->bin(j).xEdges(),
977 YODA::Dbn2D( binPtrs[i]->numEntries(), binPtrs[i]->sumW(),
978 binPtrs[i]->sumW2(), 0., 0., binPtrs[i]->sumWX(), 0, 0)));
979 ne += binPtrs[i]->numEntries();
980 sow += binPtrs[i]->sumW();
981 sow2 += binPtrs[i]->sumW2();
985 pPtr->bins().clear();
987 pPtr->addBins(profBins);
989 pPtr->setTotalDbn(YODA::Dbn2D(ne,sow,sow2,0.,0.,0.,0.,0.));
991 pPtr->setUnderflow(YODA::Dbn2D(refBins[i]->numEntries(),
992 refBins[i]->sumW(), refBins[i]->sumW2(), 0., 0.,
993 refBins[i]->sumWX(), 0., 0.));
1001 void cnFourInt(Scatter2DPtr h, ECorrPtr e2, ECorrPtr e4)
const {
1002 auto e2bins = e2->getBins();
1003 auto e4bins = e4->getBins();
1004 auto binx = e2->getBinX();
1005 if (binx.size() - 1 != e2bins.size()){
1006 cout <<
"cnFourInt: Bin size (x,y) differs!" << endl;
1009 if (binx != e4->getBinX()) {
1010 cout <<
"Error in cnFourInt: Correlator x-binning differs!" << endl;
1013 vector<CorBinBase*> e2binPtrs;
1014 vector<CorBinBase*> e4binPtrs;
1015 auto cn = [&] (
int i) {
1016 double e22 = e2binPtrs[i]->mean() * e2binPtrs[i]->mean();
1017 return e4binPtrs[i]->mean() - 2. * e22;
1020 vector<pair<double, double> > yErr;
1021 for (
int j = 0, N = e2bins.size(); j < N; ++j) {
1022 e2binPtrs = e2bins[j].getBinPtrs();
1023 e4binPtrs = e4bins[j].getBinPtrs();
1024 yErr.push_back(sampleError(cn));
1027 e2binPtrs = e2->getBinPtrs();
1028 e4binPtrs = e4->getBinPtrs();
1029 fillScatter(h, binx, cn, yErr);
1034 void vnFourInt(Scatter2DPtr h, ECorrPtr e2, ECorrPtr e4)
const {
1035 cnFourInt(h, e2, e4);
1036 nthPow(h, 0.25, -1.0);
1041 void cnSixInt(Scatter2DPtr h, ECorrPtr e2, ECorrPtr e4,
1042 ECorrPtr e6)
const {
1043 auto e2bins = e2->getBins();
1044 auto e4bins = e4->getBins();
1045 auto e6bins = e6->getBins();
1046 auto binx = e2->getBinX();
1047 if (binx.size() - 1 != e2bins.size()){
1048 cout <<
"cnSixInt: Bin size (x,y) differs!" << endl;
1051 if (binx != e4->getBinX() || binx != e6->getBinX()) {
1052 cout <<
"Error in cnSixInt: Correlator x-binning differs!" << endl;
1055 vector<CorBinBase*> e2binPtrs;
1056 vector<CorBinBase*> e4binPtrs;
1057 vector<CorBinBase*> e6binPtrs;
1058 auto cn = [&] (
int i) {
1059 double e23 = pow(e2binPtrs[i]->
mean(), 3.0);
1060 return e6binPtrs[i]->mean() - 9.*e2binPtrs[i]->mean()*e4binPtrs[i]->mean() +
1064 vector<pair<double, double> > yErr;
1065 for (
int j = 0, N = e2bins.size(); j < N; ++j) {
1066 e2binPtrs = e2bins[j].getBinPtrs();
1067 e4binPtrs = e4bins[j].getBinPtrs();
1068 e6binPtrs = e6bins[j].getBinPtrs();
1069 yErr.push_back(sampleError(cn));
1072 e2binPtrs = e2->getBinPtrs();
1073 e4binPtrs = e4->getBinPtrs();
1074 e6binPtrs = e6->getBinPtrs();
1075 fillScatter(h, binx, cn, yErr);
1080 void vnSixInt(Scatter2DPtr h, ECorrPtr e2, ECorrPtr e4,
1081 ECorrPtr e6)
const {
1082 cnSixInt(h, e2, e4, e6);
1083 nthPow(h, 1./6., 0.25);
1089 ECorrPtr e6, ECorrPtr e8)
const {
1090 auto e2bins = e2->getBins();
1091 auto e4bins = e4->getBins();
1092 auto e6bins = e6->getBins();
1093 auto e8bins = e8->getBins();
1094 auto binx = e2->getBinX();
1095 if (binx.size() - 1 != e2bins.size()){
1096 cout <<
"cnEightInt: Bin size (x,y) differs!" << endl;
1099 if (binx != e4->getBinX() || binx != e6->getBinX() ||
1100 binx != e8->getBinX()) {
1101 cout <<
"Error in cnEightInt: Correlator x-binning differs!" << endl;
1104 vector<CorBinBase*> e2binPtrs;
1105 vector<CorBinBase*> e4binPtrs;
1106 vector<CorBinBase*> e6binPtrs;
1107 vector<CorBinBase*> e8binPtrs;
1108 auto cn = [&] (
int i ) {
1109 double e22 = e2binPtrs[i]->mean() * e2binPtrs[i]->mean();
1110 double e24 = e22 * e22;
1111 double e42 = e4binPtrs[i]->mean() * e4binPtrs[i]->mean();
1112 return e8binPtrs[i]->mean() - 16. * e6binPtrs[i]->mean() *
1113 e2binPtrs[i]->mean() - 18. * e42 + 144. * e4binPtrs[i]->mean()*e22 - 144. * e24;
1116 vector<pair<double, double> > yErr;
1117 for (
int j = 0, N = e2bins.size(); j < N; ++j) {
1118 e2binPtrs = e2bins[j].getBinPtrs();
1119 e4binPtrs = e4bins[j].getBinPtrs();
1120 e6binPtrs = e6bins[j].getBinPtrs();
1121 e8binPtrs = e8bins[j].getBinPtrs();
1122 yErr.push_back(sampleError(cn));
1125 e2binPtrs = e2->getBinPtrs();
1126 e4binPtrs = e4->getBinPtrs();
1127 e6binPtrs = e6->getBinPtrs();
1128 e8binPtrs = e8->getBinPtrs();
1129 fillScatter(h, binx, cn, yErr);
1134 void vnEightInt(Scatter2DPtr h, ECorrPtr e2, ECorrPtr e4, ECorrPtr e6, ECorrPtr e8)
const {
1135 cnEightInt(h, e2, e4, e6, e8);
1136 nthPow(h, 1./8., -1./33.);
1142 auto e2bins = e2Dif->getBins();
1143 auto ref = e2Dif->getReference();
1144 auto binx = e2Dif->getBinX();
1145 if (binx.size() -1 != e2bins.size()) {
1146 cout <<
"vnTwoDif: Bin size (x,y) differs!" << endl;
1149 vector<CorBinBase*> e2binPtrs;
1150 vector<CorBinBase*> refPtrs;
1151 auto vn = [&] (
int i) {
1153 if (ref.mean() <= 0)
return 0.;
1154 return e2binPtrs[i]->mean() / sqrt(ref.mean());
1157 auto vnerr = [&] (
int i) {
1159 if (refPtrs[i]->
mean() <=0)
return 0.;
1160 return e2binPtrs[i]->mean() / sqrt(refPtrs[i]->
mean());
1163 vector<pair<double, double> > yErr;
1164 refPtrs = ref.getBinPtrs();
1165 for (
int j = 0, N = e2bins.size(); j < N; ++j) {
1166 e2binPtrs = e2bins[j].getBinPtrs();
1167 yErr.push_back(sampleError(vnerr));
1170 e2binPtrs = e2Dif->getBinPtrs();
1171 fillScatter(h, binx, vn);
1176 void vnFourDiff(Scatter2DPtr h, ECorrPtr e2Dif, ECorrPtr e4Dif)
const {
1177 auto e2bins = e2Dif->getBins();
1178 auto e4bins = e4Dif->getBins();
1179 auto ref2 = e2Dif->getReference();
1180 auto ref4 = e4Dif->getReference();
1181 auto binx = e2Dif->getBinX();
1182 if (binx.size() - 1 != e2bins.size()){
1183 cout <<
"vnFourDif: Bin size (x,y) differs!" << endl;
1186 if (binx != e4Dif->getBinX()) {
1187 cout <<
"Error in vnFourDif: Correlator x-binning differs!" << endl;
1190 vector<CorBinBase*> e2binPtrs;
1191 vector<CorBinBase*> e4binPtrs;
1192 vector<CorBinBase*> ref2Ptrs;
1193 vector<CorBinBase*> ref4Ptrs;
1194 double denom = 2 * ref2.mean() * ref2.mean() - ref4.mean();
1195 auto vn = [&] (
int i) {
1197 if (denom <= 0 )
return 0.;
1198 return ((2 * ref2.mean() * e2bins[i].mean() - e4bins[i].mean()) / pow(denom, 0.75));
1201 auto vnerr = [&] (
int i) {
1202 double denom2 = 2 * ref2Ptrs[i]->mean() * ref2Ptrs[i]->mean() -
1203 ref4Ptrs[i]->mean();
1205 if (denom2 <= 0)
return 0.;
1206 return ((2 * ref2Ptrs[i]->
mean() * e2binPtrs[i]->
mean() - e4binPtrs[i]->
mean()) / pow(denom2, 0.75));
1209 vector<pair<double, double> > yErr;
1210 ref2Ptrs = ref2.getBinPtrs();
1211 ref4Ptrs = ref4.getBinPtrs();
1212 for (
int j = 0, N = e2bins.size(); j < N; ++j) {
1213 e2binPtrs = e2bins[j].getBinPtrs();
1214 e4binPtrs = e4bins[j].getBinPtrs();
1215 yErr.push_back(sampleError(vnerr));
1218 e2binPtrs = e2Dif->getBinPtrs();
1219 e4binPtrs = e4Dif->getBinPtrs();
1220 fillScatter(h, binx, vn, yErr);
ECorrPtr bookECorrelator(const string name, const YODA::Scatter2D &hIn)
Templated version of correlator booking which takes N desired harmonic and M number of particles...
Definition: Correlators.hh:673
Definition: MC_Cent_pPb.hh:10
static pair< double, double > sampleEnvelope(T func)
Calculate the bootstrapped sample envelope.
Definition: Correlators.hh:868
vector< CorBinBase * > getBinPtrs()
Return the bins as pointers to the base class.
Definition: Correlators.hh:486
std::enable_if< std::is_arithmetic< NUM1 >::value &&std::is_arithmetic< NUM2 >::value, int >::type binIndex(NUM1 val, std::initializer_list< NUM2 > binedges, bool allow_overflow=false)
Return the bin index of the given value, val, given a vector of bin edges.
Definition: MathUtils.hh:416
ECorrPtr bookECorrelator(const string name, const vector< int > &h, const YODA::Scatter2D &hIn)
Book an ECorrelator in the same way as a histogram.
Definition: Correlators.hh:600
void rawHookOut(vector< MultiweightAOPtr > raos, size_t iW) final
Transform RAW ECorrelator Profiles to have content before writing them. Overloaded method from Analys...
Definition: Correlators.hh:946
CmpState compare(const Projection &p) const
Definition: Correlators.hh:145
ECorrPtr bookECorrelator(const string name, const vector< int > &h, vector< double > &binIn)
Book an ECorrelator in the same way as a histogram.
Definition: Correlators.hh:609
static vector< int > hVec(int n, int m)
Construct a harmonic vectors from n harmonics and m number of particles.
Definition: Correlators.hh:106
void cnTwoInt(Scatter2DPtr h, ECorrPtr e2) const
Two-particle integrated cn.
Definition: Correlators.hh:897
void fill(const Correlators &c1, const Correlators &c2, const double &weight=1.0)
Fill bins with the appropriate correlator, and a rapidity gap between two Correlators.
Definition: Correlators.hh:462
vector< CorBin > getBins() const
Get a copy of the bin contents.
Definition: Correlators.hh:481
CorBin getReference() const
Extract the reference flow from a differential event averaged correlator.
Definition: Correlators.hh:513
vector< int > getH2() const
Get a copy of the h2 harmonic vector.
Definition: Correlators.hh:503
static pair< double, double > sampleVariance(T func)
Calculate the bootstrapped sample variance.
Definition: Correlators.hh:850
shared_ptr< ECorrelator > ECorrPtr
Typedef of shared pointer to ECorrelator.
Definition: Correlators.hh:596
ECorrPtr bookECorrelator(const string name, const vector< int > &h1, const vector< int > &h2, const YODA::Scatter2D &hIn)
Book a gapped ECorrelator with two harmonic vectors.
Definition: Correlators.hh:640
void vnSixInt(Scatter2DPtr h, ECorrPtr e2, ECorrPtr e4, ECorrPtr e6) const
Six particle integrated vn.
Definition: Correlators.hh:1080
ECorrelator(vector< int > h1In, vector< int > h2In, vector< double > binIn)
Constructor for gapped correlator.
Definition: Correlators.hh:417
Particle representation, either from a HepMC::GenEvent or reconstructed.
Definition: Particle.hh:18
A helper class to calculate all event averages of correlators.
Definition: Correlators.hh:392
void fill(const double &obs, const Correlators &c1, const Correlators &c2, double weight=1.0)
Fill the appropriate bin given an input (per event) observable, e.g. centrality, with a rapidity gap ...
Definition: Correlators.hh:431
static constexpr double DBL_NAN
Convenient const for getting the double NaN value.
Definition: Utils.hh:46
Base class for projections which return subsets of an event's particles.
Definition: ParticleFinder.hh:11
ECorrPtr bookECorrelator(const string name, vector< double > binIn)
Templated version of correlator booking which takes N desired harmonic and M number of particles...
Definition: Correlators.hh:664
Tools for flow analyses.
Definition: Correlators.hh:221
const vector< pair< double, double > > pTBinnedCorrelatorsGap(const Correlators &other, vector< int > n1, vector< int > n2, bool overflow=false) const
pT differential correlators of n1 harmonic, for number n1.size()
ECorrPtr bookECorrelator(const string name, const vector< int > &h1, const vector< int > &h2, vector< double > &binIn)
Book a gapped ECorrelator with two harmonic vectors.
Definition: Correlators.hh:624
void fill(const Correlators &c, const double &weight=1.0)
Fill the bins with the appropriate correlator.
Definition: Correlators.hh:445
void fill(const double &obs, const Correlators &c, double weight=1.0)
Fill the appropriate bin given an input (per event) observable, e.g. centrality.
Definition: Correlators.hh:422
void setReference(CorBin refIn)
Replace reference flow bin with another, e.g. calculated in another phase space or with other pid...
Definition: Correlators.hh:508
void setProfs(vector< string > prIn)
Set the prIn list of profile histograms associated with the internal bins.
Definition: Correlators.hh:521
void vnFourDiff(Scatter2DPtr h, ECorrPtr e2Dif, ECorrPtr e4Dif) const
Four particle differential vn.
Definition: Correlators.hh:1176
void fillScatter(Scatter2DPtr h, vector< double > &binx, F func, vector< pair< double, double > > &yErr) const
Helper method for turning correlators into Scatter2Ds with error estimates.
Definition: Correlators.hh:745
This is the base class of all analysis classes in Rivet.
Definition: Analysis.hh:64
Representation of a HepMC event, and enabler of Projection caching.
Definition: Event.hh:22
Cmp< Projection > mkPCmp(const Projection &otherparent, const std::string &pname) const
void cnEightInt(Scatter2DPtr h, ECorrPtr e2, ECorrPtr e4, ECorrPtr e6, ECorrPtr e8) const
Eight particle integrated cn.
Definition: Correlators.hh:1088
static pair< int, int > getMaxValues(vector< vector< int > > &hList)
Return the maximal values for n, p to be used in the constructor of Correlators(xxx, nMax, pMax, xxxx)
Definition: Correlators.hh:121
vector< int > getH1() const
Get a copy of the h1 harmonic vector.
Definition: Correlators.hh:498
bool fillFromProfile(YODA::AnalysisObjectPtr yao, string name)
Fill bins with content from preloaded histograms.
Definition: Correlators.hh:526
static void nthPow(Scatter2DPtr h, const double &n, const double &k=1.0)
Take the n th power of all points in h, and put the result back in the same Scatter2D.
Definition: Correlators.hh:815
void vnTwoDiff(Scatter2DPtr h, ECorrPtr e2Dif) const
Two particle differential vn.
Definition: Correlators.hh:1141
static void fillScatter(Scatter2DPtr h, vector< double > &binx, T func)
Helper method for turning correlators into Scatter2Ds.
Definition: Correlators.hh:714
const pair< double, double > sampleError(T func) const
Selection method for which sample error to use, given in the constructor.
Definition: Correlators.hh:887
const vector< pair< double, double > > pTBinnedCorrelators(vector< int > n, bool overflow=false) const
pT differential correlator of n harmonic, for number of powers n.size()
virtual std::string name() const
Get the name of the projection.
Definition: Projection.hh:56
const pair< double, double > intCorrelatorGap(const Correlators &other, vector< int > n1, vector< int > n2) const
Integrated correlator of n1 harmonic, for number of powers n1.size()
Projection for calculating correlators for flow measurements.
Definition: Correlators.hh:38
vector< double > getBinX() const
Get a copy of the bin x-values.
Definition: Correlators.hh:493
const pair< int, int > getMaxValues() const
Get the correct max N and max P for the set of booked correlators.
Definition: Correlators.hh:579
CumulantAnalysis(const string &n)
Constructor.
Definition: Correlators.hh:702
void project(const Event &e)
void vnTwoInt(Scatter2DPtr h, ECorrPtr e2) const
Two particle integrated vn.
Definition: Correlators.hh:920
const pair< double, double > intCorrelator(vector< int > n) const
Integrated correlator of n harmonic, with the number of powers being the size of n. E.G. n should be: <<2>>_2 => n = {2, -2} <<4>>_2 => n = {2, 2, -2, -2} <<2>>_4 => n = {4, -4} <<4>>_4 => n = {4, 4, -4, 4}, and so on.
static void nthPow(Scatter2DPtr hOut, const Scatter2DPtr hIn, const double &n, const double &k=1.0)
Take the n th power of all points in hIn and put the result in hOut.
Definition: Correlators.hh:777
Correlators(const ParticleFinder &fsp, int nMaxIn=2, int pMaxIn=0, vector< double > pTbinEdgesIn={})
ECorrelator(vector< int > h, vector< double > binIn)
Constructor. Takes as argument the desired harmonic and number of correlated particles as a generic f...
Definition: Correlators.hh:409
void vnEightInt(Scatter2DPtr h, ECorrPtr e2, ECorrPtr e4, ECorrPtr e6, ECorrPtr e8) const
Eight particle integrated vn.
Definition: Correlators.hh:1134
Base class for all Rivet projections.
Definition: Projection.hh:29
void corrPlot(Scatter2DPtr h, ECorrPtr e) const
Put an event-averaged correlator into a Scatter2D.
Definition: Correlators.hh:929
std::enable_if< std::is_arithmetic< NUM >::value, double >::type mean(const vector< NUM > &sample)
Definition: MathUtils.hh:458
ECorrPtr bookECorrelatorGap(const string name, const YODA::Scatter2D &hIn)
Templated version of gapped correlator booking which takes N desired harmonic and M number of particl...
Definition: Correlators.hh:682
void vnFourInt(Scatter2DPtr h, ECorrPtr e2, ECorrPtr e4) const
Four particle integrated vn.
Definition: Correlators.hh:1034
void cnSixInt(Scatter2DPtr h, ECorrPtr e2, ECorrPtr e4, ECorrPtr e6) const
Six particle integrated cn.
Definition: Correlators.hh:1041
ECorrPtr bookECorrelatorGap(const string name, const vector< int > &h, const YODA::Scatter2D &hIn)
Definition: Correlators.hh:652