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Merge pull request #17691 from PFCal-dev/hgc-tpg-integration-90X-170228
HGCAL trigger sim clustering
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| #ifndef DataFormats_L1HGCal_ClusterShapes_H | ||
| #define DataFormats_L1HGCal_ClusterShapes_H | ||
| #include <cmath> | ||
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| namespace l1t{ | ||
| // this class is design to contain and compute | ||
| // efficiently the cluster shapes | ||
| // running only once on the cluster members. | ||
| class ClusterShapes{ | ||
| private: | ||
| float sum_e_ = 0.0; | ||
| float sum_e2_ = 0.0; | ||
| float sum_logE_ = 0.0; | ||
| int n_=0.0; | ||
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| float emax_ = 0.0; | ||
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| float sum_w_ =0.0; // just here for clarity | ||
| float sum_eta_ = 0.0; | ||
| float sum_r_ = 0.0; | ||
| // i will discriminate using the rms in -pi,pi or in 0,pi | ||
| float sum_phi_0_ = 0.0; // computed in -pi,pi | ||
| float sum_phi_1_ = 0.0; // computed in 0, 2pi | ||
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| float sum_eta2_=0.0; | ||
| float sum_r2_ = 0.0; | ||
| float sum_phi2_0_=0.0; //computed in -pi,pi | ||
| float sum_phi2_1_=0.0; //computed in 0,2pi | ||
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| // off diagonal element of the tensor | ||
| float sum_eta_r_ =0.0; | ||
| float sum_r_phi_0_ = 0.0; | ||
| float sum_r_phi_1_ = 0.0; | ||
| float sum_eta_phi_0_ = 0.0; | ||
| float sum_eta_phi_1_ = 0.0; | ||
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| // caching of informations | ||
| mutable bool isPhi0_ = true; | ||
| mutable bool modified_ = false; // check wheneever i need | ||
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| public: | ||
| ClusterShapes(){} | ||
| ClusterShapes(float e, float eta, float phi, float r) { Init(e,eta,phi,r);} | ||
| ~ClusterShapes(){} | ||
| ClusterShapes(const ClusterShapes&x)= default; | ||
| //init an empty cluster | ||
| void Init(float e, float eta, float phi, float r=0.); | ||
| inline void Add(float e, float eta, float phi, float r=0.0) | ||
| { (*this) += ClusterShapes(e,eta,phi,r);} | ||
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| // --- | ||
| float SigmaEtaEta() const ; | ||
| float SigmaPhiPhi() const ; | ||
| float SigmaRR() const ; | ||
| // ---- | ||
| float Phi() const ; | ||
| float R() const ; | ||
| float Eta() const ; | ||
| inline int N()const {return n_;} | ||
| // -- | ||
| float SigmaEtaR()const ; | ||
| float SigmaEtaPhi() const ; | ||
| float SigmaRPhi() const ; | ||
| // -- | ||
| float LogEoverE() const { return sum_logE_/sum_e_;} | ||
| float eD() const { return std::sqrt(sum_e2_)/sum_e_;} | ||
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| ClusterShapes operator+(const ClusterShapes &); | ||
| void operator+=(const ClusterShapes &); | ||
| ClusterShapes& operator=(const ClusterShapes &) = default; | ||
| }; | ||
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| }; // end namespace | ||
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| #endif | ||
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| @@ -0,0 +1,132 @@ | ||
| #include "DataFormats/L1THGCal/interface/ClusterShapes.h" | ||
| #include <cmath> | ||
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| using namespace l1t; | ||
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| ClusterShapes ClusterShapes::operator+(const ClusterShapes& x) | ||
| { | ||
| ClusterShapes cs(*this); // copy constructor | ||
| cs += x; | ||
| return cs; | ||
| } | ||
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| void ClusterShapes::operator +=(const ClusterShapes &x){ | ||
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| sum_e_ += x.sum_e_; | ||
| sum_e2_ += x.sum_e2_; | ||
| sum_logE_ += x.sum_logE_; | ||
| n_ += x.n_; | ||
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| sum_w_ += x.sum_w_; | ||
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| emax_ = (emax_> x.emax_) ? emax_: x.emax_; | ||
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| // mid-point | ||
| sum_eta_ += x.sum_eta_; | ||
| sum_phi_0_ += x.sum_phi_0_; // | ||
| sum_phi_1_ += x.sum_phi_1_; // | ||
| sum_r_ += x.sum_r_; | ||
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| // square | ||
| sum_eta2_ += x.sum_eta2_; | ||
| sum_phi2_0_ += x.sum_phi2_0_; | ||
| sum_phi2_1_ += x.sum_phi2_1_; | ||
| sum_r2_ += x.sum_r2_; | ||
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| // off diagonal | ||
| sum_eta_r_ += x.sum_eta_r_ ; | ||
| sum_r_phi_0_ += x.sum_r_phi_0_ ; | ||
| sum_r_phi_1_ += x.sum_r_phi_1_ ; | ||
| sum_eta_phi_0_ += x.sum_eta_phi_0_; | ||
| sum_eta_phi_1_ += x.sum_eta_phi_1_; | ||
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| } | ||
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| // -------------- CLUSTER SHAPES --------------- | ||
| void ClusterShapes::Init(float e ,float eta, float phi, float r){ | ||
| if (e<=0 ) return; | ||
| sum_e_ = e; | ||
| sum_e2_ = e*e; | ||
| sum_logE_ = std::log(e); | ||
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| float w = e; | ||
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| n_=1; | ||
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| sum_w_ = w; | ||
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| sum_phi_0_ = w *( phi ); | ||
| sum_phi_1_ = w* (phi + M_PI); | ||
| sum_r_ = w * r; | ||
| sum_eta_ = w * eta; | ||
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| //-- | ||
| sum_r2_ += w * (r*r); | ||
| sum_eta2_ += w * (eta*eta); | ||
| sum_phi2_0_ += w * (phi*phi); | ||
| sum_phi2_1_ += w * (phi+M_PI)*(phi+M_PI); | ||
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| // -- off diagonal | ||
| sum_eta_r_ += w * (r*eta); | ||
| sum_r_phi_0_ += w* (r *phi); | ||
| sum_r_phi_1_ += w* r *(phi + M_PI); | ||
| sum_eta_phi_0_ += w* (eta *phi); | ||
| sum_eta_phi_1_ += w* eta * (phi+M_PI); | ||
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| } | ||
| // ------ | ||
| float ClusterShapes::Eta()const { return sum_eta_/sum_w_;} | ||
| float ClusterShapes::R() const { return sum_r_/sum_w_;} | ||
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| float ClusterShapes::SigmaEtaEta()const {return sum_eta2_/sum_w_ - Eta()*Eta();} | ||
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| float ClusterShapes::SigmaRR()const { return sum_r2_/sum_w_ - R() *R();} | ||
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| float ClusterShapes::SigmaPhiPhi()const { | ||
| float phi_0 = (sum_phi_0_ / sum_w_); | ||
| float phi_1 = (sum_phi_1_ / sum_w_); | ||
| float spp_0 = sum_phi2_0_ / sum_w_ - phi_0*phi_0; | ||
| float spp_1 = sum_phi2_1_ / sum_w_ - phi_1*phi_1; | ||
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| if (spp_0 < spp_1 ) | ||
| { | ||
| isPhi0_=true; | ||
| return spp_0; | ||
| } | ||
| else | ||
| { | ||
| isPhi0_=false; | ||
| return spp_1; | ||
| } | ||
| } | ||
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| float ClusterShapes::Phi()const { | ||
| SigmaPhiPhi(); //update phi | ||
| if (isPhi0_) return (sum_phi_0_ / sum_w_); | ||
| else return (sum_phi_1_ / sum_w_); | ||
| } | ||
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| // off - diagonal | ||
| float ClusterShapes::SigmaEtaR() const { return -(sum_eta_r_ / sum_w_ - Eta() *R()) ;} | ||
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| float ClusterShapes::SigmaEtaPhi()const { | ||
| SigmaPhiPhi() ; // decide which phi use, update phi | ||
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| if (isPhi0_) | ||
| return -(sum_eta_phi_0_ /sum_w_ - Eta()*(sum_phi_0_ / sum_w_)); | ||
| else | ||
| return -(sum_eta_phi_1_ / sum_w_ - Eta()*(sum_phi_1_ / sum_w_)); | ||
| } | ||
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| float ClusterShapes::SigmaRPhi()const { | ||
| SigmaPhiPhi() ; // decide which phi use, update phi | ||
| if (isPhi0_) | ||
| return -(sum_r_phi_0_ / sum_w_ - R() *(sum_phi_0_ / sum_w_)); | ||
| else | ||
| return -(sum_r_phi_1_ / sum_w_ - R() * (sum_phi_1_ / sum_w_)); | ||
| } | ||
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