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HEPTopTagger.cc
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HEPTopTagger.cc
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#include "HEPTopTagger.hh"
FASTJET_BEGIN_NAMESPACE
namespace HEPTopTagger
{
// optimal_R fit
double R_opt_calc_funct(double pt_filt)
{
return 327. / pt_filt;
}
bool HEPTopTagger_fixed_R::_first_time = true;
void HEPTopTagger_fixed_R::print_banner()
{
if (!_first_time)
{
return;
}
_first_time = false;
std::cout << " <><><><><><><><><><><><><><><><><><><><><><><><><><><><><><><><><>" << std::endl;
std::cout << " <> HEPTopTagger 2.0 <>" << std::endl;
std::cout << " <> <>" << std::endl;
std::cout << " <> Please cite JHEP 1506 (2015) 203 [arXiv:1503.05921 [hep-ph]] <>" << std::endl;
std::cout << " <> and JHEP 1010 (2010) 078 [arXiv:1006.2833 [hep-ph]] <>" << std::endl;
std::cout << " <> This code is provided without warranty. <>" << std::endl;
std::cout << " <> <>" << std::endl;
std::cout << " <> For MadAnalysis 5 implementation <>" << std::endl;
std::cout << " <> please cite arXiv:2303.03427 [hep-ph] <>" << std::endl;
std::cout << " <><><><><><><><><><><><><><><><><><><><><><><><><><><><><><><><><>" << std::endl;
}
// pt wrt a reference vector
double HEPTopTagger_fixed_R::perp(const fastjet::PseudoJet &vec, const fastjet::PseudoJet &ref)
{
double ref_ref = ref.px() * ref.px() + ref.py() * ref.py() + ref.pz() * ref.pz();
double vec_ref = vec.px() * ref.px() + vec.py() * ref.py() + vec.pz() * ref.pz();
double per_per = vec.px() * vec.px() + vec.py() * vec.py() + vec.pz() * vec.pz();
if (ref_ref > 0.)
per_per -= vec_ref * vec_ref / ref_ref;
if (per_per < 0.)
per_per = 0.;
return sqrt(per_per);
}
// modified Jade distance
double HEPTopTagger_fixed_R::djademod(const fastjet::PseudoJet &subjet_i, const fastjet::PseudoJet &subjet_j, const fastjet::PseudoJet &ref)
{
double dj = -1.0;
double delta_phi = subjet_i.delta_phi_to(subjet_j);
double delta_eta = subjet_i.eta() - subjet_j.eta();
double delta_R = sqrt(delta_eta * delta_eta + delta_phi * delta_phi);
dj = perp(subjet_i, ref) * perp(subjet_j, ref) * pow(delta_R, 4.);
return dj;
}
// minimal |(m_ij / m_123) / (m_w/ m_t) - 1|
double HEPTopTagger_fixed_R::f_rec()
{
double m12 = (_top_subs[0] + _top_subs[1]).m();
double m13 = (_top_subs[0] + _top_subs[2]).m();
double m23 = (_top_subs[1] + _top_subs[2]).m();
double m123 = (_top_subs[0] + _top_subs[1] + _top_subs[2]).m();
double fw12 = fabs((m12 / m123) / (_mwmass / _mtmass) - 1);
double fw13 = fabs((m13 / m123) / (_mwmass / _mtmass) - 1);
double fw23 = fabs((m23 / m123) / (_mwmass / _mtmass) - 1);
return std::min(fw12, std::min(fw13, fw23));
}
// find hard substructures
void HEPTopTagger_fixed_R::FindHardSubst(const PseudoJet &this_jet, std::vector<fastjet::PseudoJet> &t_parts)
{
PseudoJet parent1(0, 0, 0, 0), parent2(0, 0, 0, 0);
if (this_jet.m() < _max_subjet_mass || !this_jet.validated_cs()->has_parents(this_jet, parent1, parent2))
{
t_parts.push_back(this_jet);
}
else
{
if (parent1.m() < parent2.m())
std::swap(parent1, parent2);
FindHardSubst(parent1, t_parts);
if (parent1.m() < _mass_drop_threshold * this_jet.m())
FindHardSubst(parent2, t_parts);
}
}
// store subjets as vector<PseudoJet> with [0]->b [1]->W-jet 1 [2]->W-jet 2
void HEPTopTagger_fixed_R::store_topsubjets(const std::vector<PseudoJet> &top_subs)
{
_top_subjets.resize(0);
double m12 = (top_subs[0] + top_subs[1]).m();
double m13 = (top_subs[0] + top_subs[2]).m();
double m23 = (top_subs[1] + top_subs[2]).m();
double dm12 = fabs(m12 - _mwmass);
double dm13 = fabs(m13 - _mwmass);
double dm23 = fabs(m23 - _mwmass);
if (dm23 <= dm12 && dm23 <= dm13)
{
_top_subjets.push_back(top_subs[0]);
_top_subjets.push_back(top_subs[1]);
_top_subjets.push_back(top_subs[2]);
}
else if (dm13 <= dm12 && dm13 < dm23)
{
_top_subjets.push_back(top_subs[1]);
_top_subjets.push_back(top_subs[0]);
_top_subjets.push_back(top_subs[2]);
}
else if (dm12 < dm23 && dm12 < dm13)
{
_top_subjets.push_back(top_subs[2]);
_top_subjets.push_back(top_subs[0]);
_top_subjets.push_back(top_subs[1]);
}
_W = _top_subjets[1] + _top_subjets[2];
return;
}
// check mass plane cuts
bool HEPTopTagger_fixed_R::check_mass_criteria(const std::vector<PseudoJet> &top_subs) const
{
bool is_passed = false;
double m12 = (top_subs[0] + top_subs[1]).m();
double m13 = (top_subs[0] + top_subs[2]).m();
double m23 = (top_subs[1] + top_subs[2]).m();
double m123 = (top_subs[0] + top_subs[1] + top_subs[2]).m();
if (
(atan(m13 / m12) > _m13cutmin && _m13cutmax > atan(m13 / m12) && (m23 / m123 > _rmin && _rmax > m23 / m123)) ||
(((m23 / m123) * (m23 / m123) < 1 - _rmin * _rmin * (1 + (m13 / m12) * (m13 / m12))) &&
((m23 / m123) * (m23 / m123) > 1 - _rmax * _rmax * (1 + (m13 / m12) * (m13 / m12))) &&
(m23 / m123 > _m23cut)) ||
(((m23 / m123) * (m23 / m123) < 1 - _rmin * _rmin * (1 + (m12 / m13) * (m12 / m13))) &&
((m23 / m123) * (m23 / m123) > 1 - _rmax * _rmax * (1 + (m12 / m13) * (m12 / m13))) &&
(m23 / m123 > _m23cut)))
{
is_passed = true;
}
return is_passed;
}
double HEPTopTagger_fixed_R::nsub(fastjet::PseudoJet jet, int order, fastjet::contrib::Njettiness::AxesMode axes, double beta, double R0)
{
fastjet::contrib::Nsubjettiness nsub(order, axes, beta, R0);
return nsub.result(jet);
}
HEPTopTagger_fixed_R::HEPTopTagger_fixed_R() : _mass_drop_threshold(0.8), _max_subjet_mass(30.),
_mode(Mode(0)), _mtmass(172.9), _mwmass(80.379), _mtmin(150.), _mtmax(200.), _rmin(0.85 * 80.379 / 172.9), _rmax(1.15 * 80.379 / 172.9),
_m23cut(0.35), _m13cutmin(0.2), _m13cutmax(1.3), _minpt_tag(200.),
_nfilt(5), _Rfilt(0.3), _jet_algorithm_filter(fastjet::cambridge_algorithm), _minpt_subjet(0.),
_jet_algorithm_recluster(fastjet::cambridge_algorithm),
_zcut(0.1), _rcut_factor(0.5),
_debug(false)
{
_djsum = 0.;
_delta_top = 1000000000000.0;
_pruned_mass = 0.;
_unfiltered_mass = 0.;
_top_candidate.reset(0., 0., 0., 0.);
_parts_size = 0;
_is_maybe_top = _is_masscut_passed = _is_ptmincut_passed = false;
_top_subs.clear();
_top_subjets.clear();
_top_hadrons.clear();
_top_parts.clear();
}
HEPTopTagger_fixed_R::HEPTopTagger_fixed_R(const fastjet::PseudoJet jet) : _jet(jet), _initial_jet(jet),
_mass_drop_threshold(0.8), _max_subjet_mass(30.),
_mode(Mode(0)), _mtmass(172.9), _mwmass(80.379), _mtmin(150.), _mtmax(200.), _rmin(0.85 * 80.379 / 172.9), _rmax(1.15 * 80.379 / 172.9),
_m23cut(0.35), _m13cutmin(0.2), _m13cutmax(1.3), _minpt_tag(200.),
_nfilt(5), _Rfilt(0.3), _jet_algorithm_filter(fastjet::cambridge_algorithm), _minpt_subjet(0.),
_jet_algorithm_recluster(fastjet::cambridge_algorithm),
_zcut(0.1), _rcut_factor(0.5),
_fat(jet),
_debug(false)
{
}
HEPTopTagger_fixed_R::HEPTopTagger_fixed_R(const fastjet::PseudoJet jet,
double mtmass, double mwmass) : _jet(jet), _initial_jet(jet),
_mass_drop_threshold(0.8), _max_subjet_mass(30.),
_mode(Mode(0)), _mtmass(mtmass), _mwmass(mwmass), _rmin(0.85 * 80.379 / 172.9), _rmax(1.15 * 80.379 / 172.9),
_m23cut(0.35), _m13cutmin(0.2), _m13cutmax(1.3), _minpt_tag(200.),
_nfilt(5), _Rfilt(0.3), _jet_algorithm_filter(fastjet::cambridge_algorithm), _minpt_subjet(0.),
_jet_algorithm_recluster(fastjet::cambridge_algorithm),
_zcut(0.1), _rcut_factor(0.5),
_fat(jet),
_debug(false)
{
}
void HEPTopTagger_fixed_R::run()
{
print_banner();
if ((_mode != EARLY_MASSRATIO_SORT_MASS) && (_mode != LATE_MASSRATIO_SORT_MASS) && (_mode != EARLY_MASSRATIO_SORT_MODDJADE) && (_mode != LATE_MASSRATIO_SORT_MODDJADE) && (_mode != TWO_STEP_FILTER))
{
std::cout << "ERROR: UNKNOWN MODE" << std::endl;
return;
}
// initialization
_djsum = 0.;
_delta_top = 1000000000000.0;
_pruned_mass = 0.;
_unfiltered_mass = 0.;
_top_candidate.reset(0., 0., 0., 0.);
_parts_size = 0;
_is_maybe_top = _is_masscut_passed = _is_ptmincut_passed = false;
_top_subs.clear();
_top_subjets.clear();
_top_hadrons.clear();
_top_parts.clear();
// find hard substructures
FindHardSubst(_jet, _top_parts);
if (_top_parts.size() < 3)
{
if (_debug)
{
std::cout << "< 3 hard substructures " << std::endl;
}
return; // such events are not interesting
}
// Sort subjets-after-unclustering by pT.
// Necessary so that two-step-filtering can use the leading-three.
_top_parts = sorted_by_pt(_top_parts);
// loop over triples
_top_parts = sorted_by_pt(_top_parts);
for (unsigned rr = 0; rr < _top_parts.size(); rr++)
{
for (unsigned ll = rr + 1; ll < _top_parts.size(); ll++)
{
for (unsigned kk = ll + 1; kk < _top_parts.size(); kk++)
{
// two-step filtering
// This means that we only look at the triplet formed by the
// three leading-in-pT subjets-after-unclustering.
if ((_mode == TWO_STEP_FILTER) && rr > 0)
continue;
if ((_mode == TWO_STEP_FILTER) && ll > 1)
continue;
if ((_mode == TWO_STEP_FILTER) && kk > 2)
continue;
// pick triple
PseudoJet triple = join(_top_parts[rr], _top_parts[ll], _top_parts[kk]);
// filtering
double filt_top_R = std::min(_Rfilt, 0.5 * sqrt(std::min(_top_parts[kk].squared_distance(_top_parts[ll]),
std::min(_top_parts[rr].squared_distance(_top_parts[ll]),
_top_parts[kk].squared_distance(_top_parts[rr])))));
JetDefinition filtering_def(_jet_algorithm_filter, filt_top_R);
fastjet::Filter filter(filtering_def, fastjet::SelectorNHardest(_nfilt) * fastjet::SelectorPtMin(_minpt_subjet));
PseudoJet topcandidate = filter(triple);
// mass window cut
if (topcandidate.m() < _mtmin || _mtmax < topcandidate.m())
continue;
// Sanity cut: can't recluster less than 3 objects into three subjets
if (topcandidate.pieces().size() < 3)
continue;
// Recluster to 3 subjets and apply mass plane cuts
JetDefinition reclustering(_jet_algorithm_recluster, 3.14);
ClusterSequence *cs_top_sub = new ClusterSequence(topcandidate.pieces(), reclustering);
std::vector<PseudoJet> top_subs = sorted_by_pt(cs_top_sub->exclusive_jets(3));
cs_top_sub->delete_self_when_unused();
// Require the third subjet to be above the pT threshold
if (top_subs[2].perp() < _minpt_subjet)
continue;
// Modes with early 2d-massplane cuts
if (_mode == EARLY_MASSRATIO_SORT_MASS && !check_mass_criteria(top_subs))
{
continue;
}
if (_mode == EARLY_MASSRATIO_SORT_MODDJADE && !check_mass_criteria(top_subs))
{
continue;
}
// is this candidate better than the other? -> update
double deltatop = fabs(topcandidate.m() - _mtmass);
double djsum = djademod(top_subs[0], top_subs[1], topcandidate) + djademod(top_subs[0], top_subs[2], topcandidate) + djademod(top_subs[1], top_subs[2], topcandidate);
bool better = false;
// Modes 0 and 1 sort by top mass
if ((_mode == EARLY_MASSRATIO_SORT_MASS) || (_mode == LATE_MASSRATIO_SORT_MASS))
{
if (deltatop < _delta_top)
better = true;
}
// Modes 2 and 3 sort by modified jade distance
else if ((_mode == EARLY_MASSRATIO_SORT_MODDJADE) || (_mode == LATE_MASSRATIO_SORT_MODDJADE))
{
if (djsum > _djsum)
better = true;
}
// Mode 4 is the two-step filtering. No sorting necessary as
// we just look at the triplet of highest pT objects after
// unclustering
else if (_mode == TWO_STEP_FILTER)
{
better = true;
}
else
{
std::cout << "ERROR: UNKNOWN MODE (IN DISTANCE MEASURE SELECTION)" << std::endl;
return;
}
if (better)
{
_djsum = djsum;
_delta_top = deltatop;
_is_maybe_top = true;
_top_candidate = topcandidate;
_top_subs = top_subs;
store_topsubjets(top_subs);
_top_hadrons = topcandidate.constituents();
// Pruning
double _Rprun = _initial_jet.validated_cluster_sequence()->jet_def().R();
JetDefinition jet_def_prune(fastjet::cambridge_algorithm, _Rprun);
fastjet::Pruner pruner(jet_def_prune, _zcut, _rcut_factor);
PseudoJet prunedjet = pruner(triple);
_pruned_mass = prunedjet.m();
_unfiltered_mass = triple.m();
// are all criteria fulfilled?
_is_masscut_passed = false;
if (check_mass_criteria(top_subs))
{
_is_masscut_passed = true;
}
_is_ptmincut_passed = false;
if (_top_candidate.pt() > _minpt_tag)
{
_is_ptmincut_passed = true;
}
} // end better
} // end kk
} // end ll
} // end rr
return;
}
void HEPTopTagger_fixed_R::get_info() const
{
std::cout << "#--------------------------------------------------------------------------\n";
std::cout << "# HEPTopTagger Result" << std::endl;
std::cout << "#" << std::endl;
std::cout << "# is top candidate: " << _is_maybe_top << std::endl;
std::cout << "# mass plane cuts passed: " << _is_masscut_passed << std::endl;
std::cout << "# top candidate mass: " << _top_candidate.m() << std::endl;
std::cout << "# top candidate (pt, eta, phi): ("
<< _top_candidate.perp() << ", "
<< _top_candidate.eta() << ", "
<< _top_candidate.phi_std() << ")" << std::endl;
std::cout << "# top hadrons: " << _top_hadrons.size() << std::endl;
std::cout << "# hard substructures: " << _parts_size << std::endl;
std::cout << "# |m - mtop| : " << _delta_top << std::endl;
std::cout << "# djsum : " << _djsum << std::endl;
std::cout << "# is consistency cut passed: " << _is_ptmincut_passed << std::endl;
std::cout << "#--------------------------------------------------------------------------\n";
return;
}
void HEPTopTagger::get_setting() const
{
std::cout << "#--------------------------------------------------------------------------\n";
std::cout << "# HEPTopTagger Settings" << std::endl;
std::cout << "#" << std::endl;
std::cout << "# mode: " << _mode << " (0 = EARLY_MASSRATIO_SORT_MASS) " << std::endl;
std::cout << "# "
<< " (1 = LATE_MASSRATIO_SORT_MASS) " << std::endl;
std::cout << "# "
<< " (2 = EARLY_MASSRATIO_SORT_MODDJADE) " << std::endl;
std::cout << "# "
<< " (3 = LATE_MASSRATIO_SORT_MODDJADE) " << std::endl;
std::cout << "# "
<< " (4 = TWO_STEP_FILTER) " << std::endl;
std::cout << "# top mass: " << _mtmass << " ";
std::cout << "W mass: " << _mwmass << std::endl;
std::cout << "# top mass window: [" << _mtmin << ", " << _mtmax << "]" << std::endl;
std::cout << "# W mass ratio: [" << _rmin << ", " << _rmax << "] (["
<< _rmin * _mtmass / _mwmass << "%, " << _rmax * _mtmass / _mwmass << "%])" << std::endl;
std::cout << "# mass plane cuts: (m23cut, m13min, m13max) = ("
<< _m23cut << ", " << _m13cutmin << ", " << _m13cutmax << ")" << std::endl;
std::cout << "# mass_drop_threshold: " << _mass_drop_threshold << " ";
std::cout << "max_subjet_mass: " << _max_subjet_mass << std::endl;
std::cout << "# R_filt: " << _Rfilt << " ";
std::cout << "n_filt: " << _nfilt << std::endl;
std::cout << "# minimal subjet pt: " << _minpt_subjet << std::endl;
std::cout << "# minimal reconstructed pt: " << _minpt_tag << std::endl;
std::cout << "# internal jet algorithms (0 = kt, 1 = C/A, 2 = anti-kt): " << std::endl;
std::cout << "# filtering: " << _jet_algorithm_filter << std::endl;
std::cout << "# reclustering: " << _jet_algorithm_recluster << std::endl;
std::cout << "#--------------------------------------------------------------------------\n";
return;
}
// uncluster a fat jet to subjets of given cone size
void HEPTopTagger::UnclusterFatjets(const vector<fastjet::PseudoJet> &big_fatjets,
vector<fastjet::PseudoJet> &small_fatjets,
const ClusterSequence &cseq,
const double small_radius)
{
for (unsigned i = 0; i < big_fatjets.size(); i++)
{
PseudoJet this_jet = big_fatjets[i];
PseudoJet parent1(0, 0, 0, 0), parent2(0, 0, 0, 0);
bool test = cseq.has_parents(this_jet, parent1, parent2);
double dR = 100;
if (test)
dR = sqrt(parent1.squared_distance(parent2));
if (!test || dR < small_radius)
{
small_fatjets.push_back(this_jet);
}
else
{
vector<fastjet::PseudoJet> parents;
parents.push_back(parent1);
parents.push_back(parent2);
UnclusterFatjets(parents, small_fatjets, cseq, small_radius);
}
}
}
HEPTopTagger::HEPTopTagger() : _do_optimalR(1),
_mass_drop_threshold(0.8), _max_subjet_mass(30.),
_mode(Mode(0)), _mtmass(172.9), _mwmass(80.379), _mtmin(150.), _mtmax(200.), _rmin(0.85 * 80.379 / 172.9), _rmax(1.15 * 80.379 / 172.9),
_m23cut(0.35), _m13cutmin(0.2), _m13cutmax(1.3), _minpt_tag(200.),
_nfilt(5), _Rfilt(0.3), _jet_algorithm_filter(fastjet::cambridge_algorithm), _minpt_subjet(0.),
_jet_algorithm_recluster(fastjet::cambridge_algorithm),
_zcut(0.1), _rcut_factor(0.5),
_max_fatjet_R(1.8), _min_fatjet_R(0.5), _step_R(0.1), _optimalR_threshold(0.2),
_R_filt_optimalR_calc(0.2), _N_filt_optimalR_calc(10), _r_min_exp_function(&R_opt_calc_funct),
_optimalR_mmin(150.), _optimalR_mmax(200.), _optimalR_fw(0.175), _R_opt_diff(0.3),
_R_filt_optimalR_pass(0.2), _N_filt_optimalR_pass(5), _R_filt_optimalR_fail(0.3), _N_filt_optimalR_fail(3),
_debug(false)
{
}
HEPTopTagger::HEPTopTagger(double mtmass, double mwmass) : _do_optimalR(1),
_mass_drop_threshold(0.8), _max_subjet_mass(30.),
_mode(Mode(0)), _mtmass(mtmass), _mwmass(mwmass), _mtmin(150.), _mtmax(200.), _rmin(0.85 * 80.379 / 172.9), _rmax(1.15 * 80.379 / 172.9),
_m23cut(0.35), _m13cutmin(0.2), _m13cutmax(1.3), _minpt_tag(200.),
_nfilt(5), _Rfilt(0.3), _jet_algorithm_filter(fastjet::cambridge_algorithm), _minpt_subjet(0.),
_jet_algorithm_recluster(fastjet::cambridge_algorithm),
_zcut(0.1), _rcut_factor(0.5),
_max_fatjet_R(1.8), _min_fatjet_R(0.5), _step_R(0.1), _optimalR_threshold(0.2),
_R_filt_optimalR_calc(0.2), _N_filt_optimalR_calc(10), _r_min_exp_function(&R_opt_calc_funct),
_optimalR_mmin(150.), _optimalR_mmax(200.), _optimalR_fw(0.175), _R_opt_diff(0.3),
_R_filt_optimalR_pass(0.2), _N_filt_optimalR_pass(5), _R_filt_optimalR_fail(0.3), _N_filt_optimalR_fail(3),
_debug(false)
{
}
void HEPTopTagger::run(const fastjet::PseudoJet &jet)
{
_initial_jet = jet;
_jet = jet;
_fat = jet;
// Max Jet radius needs to be equal to the fat jet radius.
_max_fatjet_R = jet.validated_cluster_sequence()->jet_def().R();
int maxR = int(_max_fatjet_R * 10);
int minR = int(_min_fatjet_R * 10);
int stepR = int(_step_R * 10);
if (!_do_optimalR)
{
HEPTopTagger_fixed_R htt(_jet);
htt.set_mass_drop_threshold(_mass_drop_threshold);
htt.set_max_subjet_mass(_max_subjet_mass);
htt.set_filtering_n(_nfilt);
htt.set_filtering_R(_Rfilt);
htt.set_filtering_minpt_subjet(_minpt_subjet);
htt.set_filtering_jetalgorithm(_jet_algorithm_filter);
htt.set_reclustering_jetalgorithm(_jet_algorithm_recluster);
htt.set_mode(_mode);
htt.set_mt(_mtmass);
htt.set_mw(_mwmass);
htt.set_top_mass_range(_mtmin, _mtmax);
htt.set_mass_ratio_range(_rmin, _rmax);
htt.set_mass_ratio_cut(_m23cut, _m13cutmin, _m13cutmax);
htt.set_top_minpt(_minpt_tag);
htt.set_pruning_zcut(_zcut);
htt.set_pruning_rcut_factor(_rcut_factor);
htt.set_debug(_debug);
htt.run();
_HEPTopTagger[maxR] = htt;
_Ropt = maxR;
_HEPTopTagger_opt = _HEPTopTagger[_Ropt];
}
else
{
const ClusterSequence *_seq;
_seq = _initial_jet.validated_cluster_sequence();
// Do optimalR procedure
vector<fastjet::PseudoJet> big_fatjets;
vector<fastjet::PseudoJet> small_fatjets;
big_fatjets.push_back(_jet);
_Ropt = 0;
for (int R = maxR; R >= minR; R -= stepR)
{
UnclusterFatjets(big_fatjets, small_fatjets, *_seq, R / 10.);
if (_debug)
{
cout << "R = " << R << " -> n_small_fatjets = " << small_fatjets.size() << endl;
}
_n_small_fatjets[R] = small_fatjets.size();
// We are sorting by pt - so start with a negative dummy
double dummy = -99999;
for (unsigned i = 0; i < small_fatjets.size(); i++)
{
HEPTopTagger_fixed_R htt(small_fatjets[i]);
htt.set_mass_drop_threshold(_mass_drop_threshold);
htt.set_max_subjet_mass(_max_subjet_mass);
htt.set_filtering_n(_nfilt);
htt.set_filtering_R(_Rfilt);
htt.set_filtering_minpt_subjet(_minpt_subjet);
htt.set_filtering_jetalgorithm(_jet_algorithm_filter);
htt.set_reclustering_jetalgorithm(_jet_algorithm_recluster);
htt.set_mode(_mode);
htt.set_mt(_mtmass);
htt.set_mw(_mwmass);
htt.set_top_mass_range(_mtmin, _mtmax);
htt.set_mass_ratio_range(_rmin, _rmax);
htt.set_mass_ratio_cut(_m23cut, _m13cutmin, _m13cutmax);
htt.set_top_minpt(_minpt_tag);
htt.set_pruning_zcut(_zcut);
htt.set_pruning_rcut_factor(_rcut_factor);
htt.set_debug(_debug);
htt.run();
if (htt.t().perp() > dummy)
{
dummy = htt.t().perp();
_HEPTopTagger[R] = htt;
}
} // End of loop over small_fatjets
// Only check if we have not found Ropt yet
if (_Ropt == 0 && R < maxR)
{
// If the new mass is OUTSIDE the window ..
if (_HEPTopTagger[R].t().m() < (1 - _optimalR_threshold) * _HEPTopTagger[maxR].t().m())
// .. set _Ropt to the previous mass
_Ropt = R + stepR;
}
big_fatjets = small_fatjets;
small_fatjets.clear();
} // End of loop over R
// if we did not find Ropt in the loop, pick the last value
if (_Ropt == 0 && _HEPTopTagger[maxR].t().m() > 0)
_Ropt = minR;
// for the case that there is no tag at all (< 3 hard substructures)
if (_Ropt == 0 && _HEPTopTagger[maxR].t().m() == 0)
_Ropt = maxR;
_HEPTopTagger_opt = _HEPTopTagger[_Ropt];
Filter filter_optimalR_calc(_R_filt_optimalR_calc, SelectorNHardest(_N_filt_optimalR_calc));
_R_opt_calc = _r_min_exp_function(filter_optimalR_calc(_fat).pt());
Filter filter_optimalR_pass(_R_filt_optimalR_pass, SelectorNHardest(_N_filt_optimalR_pass));
Filter filter_optimalR_fail(_R_filt_optimalR_fail, SelectorNHardest(_N_filt_optimalR_fail));
if (optimalR_type() == 1)
{
_filt_fat = filter_optimalR_pass(_fat);
}
else
{
_filt_fat = filter_optimalR_fail(_fat);
}
}
}
// optimal_R type
int HEPTopTagger::optimalR_type()
{
if (_HEPTopTagger_opt.t().m() < _optimalR_mmin || _HEPTopTagger_opt.t().m() > _optimalR_mmax)
{
return 0;
}
if (_HEPTopTagger_opt.f_rec() > _optimalR_fw)
{
return 0;
}
if (_Ropt / 10. - _R_opt_calc > _R_opt_diff)
{
return 0;
}
return 1;
}
double HEPTopTagger::nsub_unfiltered(int order, fastjet::contrib::Njettiness::AxesMode axes, double beta, double R0)
{
fastjet::contrib::Nsubjettiness nsub(order, axes, beta, R0);
return nsub.result(_fat);
}
double HEPTopTagger::nsub_filtered(int order, fastjet::contrib::Njettiness::AxesMode axes, double beta, double R0)
{
fastjet::contrib::Nsubjettiness nsub(order, axes, beta, R0);
return nsub.result(_filt_fat);
}
HEPTopTagger::~HEPTopTagger() {}
}
FASTJET_END_NAMESPACE