1 | // $Id: RecursiveSoftDrop.hh 1082 2017-10-10 12:00:13Z gsoyez $
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2 | //
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3 | // Copyright (c) 2014-, Gavin P. Salam, Gregory Soyez, Jesse Thaler,
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4 | // Kevin Zhou, Frederic Dreyer
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5 | //
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6 | //----------------------------------------------------------------------
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7 | // This file is part of FastJet contrib.
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8 | //
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9 | // It is free software; you can redistribute it and/or modify it under
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10 | // the terms of the GNU General Public License as published by the
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11 | // Free Software Foundation; either version 2 of the License, or (at
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12 | // your option) any later version.
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13 | //
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14 | // It is distributed in the hope that it will be useful, but WITHOUT
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15 | // ANY WARRANTY; without even the implied warranty of MERCHANTABILITY
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16 | // or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public
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17 | // License for more details.
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18 | //
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19 | // You should have received a copy of the GNU General Public License
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20 | // along with this code. If not, see <http://www.gnu.org/licenses/>.
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21 | //----------------------------------------------------------------------
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22 |
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23 | #ifndef __RECURSIVESOFTDROP_HH__
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24 | #define __RECURSIVESOFTDROP_HH__
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25 |
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26 | #include "Recluster.hh"
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27 | #include "SoftDrop.hh"
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28 | #include "fastjet/WrappedStructure.hh"
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29 |
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30 | #include <iostream>
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31 | #include <queue>
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32 | #include <vector>
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33 |
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34 | FASTJET_BEGIN_NAMESPACE
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35 |
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36 | namespace contrib{
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37 |
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38 | //------------------------------------------------------------------------
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39 | /// \class RecursiveSoftDrop
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40 | /// An implementation of the RecursiveSoftDrop.
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41 | ///
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42 | /// Recursive Soft Drop will recursively groom a jet, removing
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43 | /// particles that fail the criterion
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44 | /// \f[
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45 | /// z > z_{\rm cut} (\theta/R0)^\beta
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46 | /// \f]
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47 | /// until n subjets have been found.
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48 | ///
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49 | /// Several variants are supported:
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50 | /// - set_fixed_depth_mode() switches to fixed depth on all branches
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51 | /// of the clustering tree
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52 | /// - set_dynamical_R0() switches to dynamical R0 implementation of
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53 | /// RSD
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54 | /// - set_hardest_branch_only() switches to following only the
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55 | /// hardest branch (e.g. for Iterated Soft Drop)
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56 | /// - set_min_deltaR_square(val) sets a minimum angle considered for
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57 | /// substructure (e.g. for Iterated Soft Drop)
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58 | ///
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59 | /// Notes:
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60 | ///
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61 | /// - Even though the calls to "set_tagging_mode()" or
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62 | /// "set_grooming_mode(false)" are allowed, they should not be used
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63 | /// with n=-1, and the default grooming_mode has to remain
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64 | /// untouched (except for beta<0 and finite n).
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65 | ///
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66 | //----------------------------------------------------------------------
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67 | class RecursiveSoftDrop : public SoftDrop {
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68 | public:
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69 | /// Simplified constructor. This takes the value of the "beta"
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70 | /// parameter and the symmetry cut (applied by default on the
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71 | /// scalar_z variable, as for the mMDT). It also takes an optional
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72 | /// subtractor.
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73 | ///
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74 | /// n is the number of times we require the SoftDrop condition to be
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75 | /// satisfied. n=-1 means infinity, i.e. we recurse into the jet
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76 | /// until individual constituents
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77 | ///
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78 | /// If the (optional) pileup subtractor can be supplied, then see
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79 | /// also the documentation for the set_input_jet_is_subtracted() member
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80 | /// function.
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81 | ///
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82 | /// \param beta the value of the beta parameter
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83 | /// \param symmetry_cut the value of the cut on the symmetry measure
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84 | /// \param n the requested number of iterations
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85 | /// \param R0 the angular distance normalisation [1 by default]
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86 | RecursiveSoftDrop(double beta,
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87 | double symmetry_cut,
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88 | int n = -1,
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89 | double R0 = 1,
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90 | const FunctionOfPseudoJet<PseudoJet> * subtractor = 0) :
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91 | SoftDrop(beta, symmetry_cut, R0, subtractor), _n(n) { set_defaults(); }
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92 |
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93 | /// Full constructor, which takes the following parameters:
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94 | ///
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95 | /// \param beta the value of the beta parameter
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96 | /// \param symmetry_cut the value of the cut on the symmetry measure
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97 | /// \param symmetry_measure the choice of measure to use to estimate the symmetry
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98 | /// \param n the requested number of iterations
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99 | /// \param R0 the angular distance normalisation [1 by default]
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100 | /// \param mu_cut the maximal allowed value of mass drop variable mu = m_heavy/m_parent
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101 | /// \param recursion_choice the strategy used to decide which subjet to recurse into
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102 | /// \param subtractor an optional pointer to a pileup subtractor (ignored if zero)
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103 | RecursiveSoftDrop(double beta,
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104 | double symmetry_cut,
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105 | SymmetryMeasure symmetry_measure,
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106 | int n = -1,
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107 | double R0 = 1.0,
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108 | double mu_cut = std::numeric_limits<double>::infinity(),
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109 | RecursionChoice recursion_choice = larger_pt,
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110 | const FunctionOfPseudoJet<PseudoJet> * subtractor = 0) :
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111 | SoftDrop(beta, symmetry_cut, symmetry_measure, R0, mu_cut, recursion_choice, subtractor),
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112 | _n(n) { set_defaults(); }
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113 |
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114 | /// default destructor
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115 | virtual ~RecursiveSoftDrop(){}
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116 |
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117 | //----------------------------------------------------------------------
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118 | // access to class info
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119 | int n() const { return _n; }
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120 |
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121 | //----------------------------------------------------------------------
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122 | // on top of the tweaks that we inherit from SoftDrop (via
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123 | // RecursiveSymmetryBase):
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124 | // - set_verbose_structure()
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125 | // - set_subtractor()
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126 | // - set_input_jet_is_subtracted()
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127 | // we provide several other knobs, given below
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128 |
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129 | /// initialise all the flags below to their default value
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130 | void set_defaults();
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131 |
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132 | /// switch to using the "same depth" variant where instead of
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133 | /// recursing from large to small angles and requiring n SD
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134 | /// conditions to be met (our default), we recurse simultaneously in
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135 | /// all the branches found during the previous iteration, up to a
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136 | /// maximum depth of n.
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137 | /// default: false
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138 | void set_fixed_depth_mode(bool value=true) { _fixed_depth = value; }
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139 | bool fixed_depth_mode() const { return _fixed_depth; }
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140 |
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141 | /// switch to using a dynamical R0 (used for the normalisation of
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142 | /// the symmetry measure) set by the last deltaR at which some
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143 | /// substructure was found.
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144 | /// default: false
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145 | void set_dynamical_R0(bool value=true) { _dynamical_R0 = value; }
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146 | bool use_dynamical_R0() const { return _dynamical_R0; }
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147 |
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148 | /// when finding some substructure, only follow the hardest branch
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149 | /// for the recursion
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150 | /// default: false (i.e. recurse in both branches)
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151 | void set_hardest_branch_only(bool value=true) { _hardest_branch_only = value; }
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152 | bool use_hardest_branch_only() const { return _hardest_branch_only; }
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153 |
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154 | /// set the minimum angle (squared) that we should consider for
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155 | /// substructure
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156 | /// default: -1.0 (i.e. no minimum)
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157 | void set_min_deltaR_squared(double value=-1.0) { _min_dR2 = value; }
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158 | double min_deltaR_squared() const { return _min_dR2; }
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159 |
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160 | /// description of the tool
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161 | virtual std::string description() const;
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162 |
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163 | //----------------------------------------------------------------------
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164 | /// action on a single jet with RecursiveSoftDrop.
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165 | ///
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166 | /// uses "result_fixed_tags" by default (i.e. recurse from R0 to
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167 | /// smaller angles until n SD conditions have been met), or
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168 | /// "result_fixed_depth" where each of the previous SD branches are
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169 | /// recirsed into down to a depth of n.
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170 | virtual PseudoJet result(const PseudoJet &jet) const;
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171 |
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172 | /// this routine applies the Soft Drop criterion recursively on the
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173 | /// CA tree until we find n subjets (or until it converges), and
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174 | /// adds them together into a groomed PseudoJet
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175 | PseudoJet result_fixed_tags(const PseudoJet &jet) const;
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176 |
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177 | /// this routine applies the Soft Drop criterion recursively on the
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178 | /// CA tree, recursing into all the branches found during the previous iteration
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179 | /// until n layers have been found (or until it converges)
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180 | PseudoJet result_fixed_depth(const PseudoJet &jet) const;
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181 |
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182 | protected:
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183 | /// return false if we reached desired layer of grooming _n
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184 | bool continue_grooming(int current_n) const {
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185 | return ((_n < 0) or (current_n < _n));
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186 | }
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187 |
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188 | private:
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189 | int _n; ///< the value of n
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190 |
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191 | // behaviour tweaks
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192 | bool _fixed_depth; ///< look in parallel into each all branches until depth n
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193 | bool _dynamical_R0; ///< when true, use the last deltaR with substructure as D0
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194 | bool _hardest_branch_only; ///< recurse only in the hardest branch
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195 | /// when substructure is found
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196 | double _min_dR2; ///< the min allowed angle to search for substructure
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197 | };
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198 |
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199 | // helper to get the (linear) list of prongs inside a jet resulting
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200 | // from RecursiveSoftDrop. This would avoid having amnually to go
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201 | // through the successive pairwise compositeness
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202 | std::vector<PseudoJet> recursive_soft_drop_prongs(const PseudoJet & rsd_jet);
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203 |
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204 | }
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205 |
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206 | FASTJET_END_NAMESPACE // defined in fastjet/internal/base.hh
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207 | #endif // __RECURSIVESOFTDROP_HH__
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