1 | //STARTHEADER
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2 | // $Id$
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3 | //
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4 | // Copyright (c) 2005-2011, Matteo Cacciari, Gavin P. Salam and Gregory Soyez
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5 | //
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6 | //----------------------------------------------------------------------
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7 | // This file is part of FastJet.
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8 | //
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9 | // FastJet is free software; you can redistribute it and/or modify
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10 | // it under the terms of the GNU General Public License as published by
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11 | // the Free Software Foundation; either version 2 of the License, or
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12 | // (at your option) any later version.
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13 | //
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14 | // The algorithms that underlie FastJet have required considerable
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15 | // development and are described in hep-ph/0512210. If you use
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16 | // FastJet as part of work towards a scientific publication, please
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17 | // include a citation to the FastJet paper.
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18 | //
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19 | // FastJet is distributed in the hope that it will be useful,
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20 | // but WITHOUT ANY WARRANTY; without even the implied warranty of
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21 | // MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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22 | // GNU General Public License for more details.
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23 | //
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24 | // You should have received a copy of the GNU General Public License
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25 | // along with FastJet. If not, see <http://www.gnu.org/licenses/>.
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26 | //----------------------------------------------------------------------
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27 | //ENDHEADER
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28 |
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29 |
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30 | #include "fastjet/tools/GridMedianBackgroundEstimator.hh"
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31 | using namespace std;
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32 |
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33 | FASTJET_BEGIN_NAMESPACE // defined in fastjet/internal/base.hh
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34 |
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35 | //----------------------------------------------------------------------
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36 | // setting a new event
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37 | //----------------------------------------------------------------------
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38 | // tell the background estimator that it has a new event, composed
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39 | // of the specified particles.
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40 | void GridMedianBackgroundEstimator::set_particles(const vector<PseudoJet> & particles) {
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41 | fill(_scalar_pt.begin(), _scalar_pt.end(), 0.0);
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42 | for (unsigned i = 0; i < particles.size(); i++) {
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43 | int j = igrid(particles[i]);
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44 | if (j >= 0){
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45 | if (_rescaling_class == 0)
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46 | _scalar_pt[j] += particles[i].perp();
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47 | else
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48 | _scalar_pt[j] += particles[i].perp()/(*_rescaling_class)(particles[i]);
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49 | }
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50 | }
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51 | sort(_scalar_pt.begin(), _scalar_pt.end());
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52 |
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53 | _has_particles = true;
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54 | }
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55 |
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56 |
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57 | //----------------------------------------------------------------------
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58 | // retrieving fundamental information
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59 | //----------------------------------------------------------------------
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60 | // get rho, the median background density per unit area
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61 | double GridMedianBackgroundEstimator::rho() const {
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62 | verify_particles_set();
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63 | return _percentile(_scalar_pt, 0.5) / _cell_area;
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64 | }
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65 |
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66 |
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67 | //----------------------------------------------------------------------
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68 | // get sigma, the background fluctuations per unit area; must be
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69 | // multipled by sqrt(area) to get fluctuations for a region of a
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70 | // given area.
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71 | double GridMedianBackgroundEstimator::sigma() const{
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72 | verify_particles_set();
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73 | // watch out: by definition, our sigma is the standard deviation of
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74 | // the pt density multiplied by the square root of the cell area
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75 | return (_percentile(_scalar_pt, 0.5) -
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76 | _percentile(_scalar_pt, (1.0-0.6827)/2.0)
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77 | )/sqrt(_cell_area);
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78 | }
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79 |
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80 | //----------------------------------------------------------------------
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81 | // get rho, the background density per unit area, locally at the
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82 | // position of a given jet. Note that this is not const, because a
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83 | // user may then wish to query other aspects of the background that
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84 | // could depend on the position of the jet last used for a rho(jet)
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85 | // determination.
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86 | double GridMedianBackgroundEstimator::rho(const PseudoJet & jet) {
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87 | verify_particles_set();
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88 | double rescaling = (_rescaling_class == 0) ? 1.0 : (*_rescaling_class)(jet);
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89 | return rescaling*rho();
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90 | }
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91 |
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92 |
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93 | //----------------------------------------------------------------------
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94 | // get sigma, the background fluctuations per unit area, locally at
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95 | // the position of a given jet. As for rho(jet), it is non-const.
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96 | double GridMedianBackgroundEstimator::sigma(const PseudoJet & jet){
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97 | verify_particles_set();
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98 | double rescaling = (_rescaling_class == 0) ? 1.0 : (*_rescaling_class)(jet);
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99 | return rescaling*sigma();
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100 | }
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101 |
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102 | //----------------------------------------------------------------------
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103 | // verify that particles have been set and throw an error if not
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104 | void GridMedianBackgroundEstimator::verify_particles_set() const {
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105 | if (!_has_particles) throw Error("GridMedianBackgroundEstimator::rho() or sigma() called without particles having been set");
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106 | }
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107 |
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108 |
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109 | //----------------------------------------------------------------------
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110 | // description
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111 | //----------------------------------------------------------------------
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112 | string GridMedianBackgroundEstimator::description() const {
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113 | ostringstream desc;
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114 | desc << "GridMedianBackgroundEstimator, with grid extension |y| < " << _ymax
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115 | << " and requested grid spacing = " << _requested_grid_spacing;
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116 | return desc.str();
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117 | }
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118 |
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119 |
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120 | //----------------------------------------------------------------------
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121 | // configuring the behaviour
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122 | //----------------------------------------------------------------------
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123 | // Set a pointer to a class that calculates the rescaling factor as
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124 | // a function of the jet (position). Note that the rescaling factor
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125 | // is used both in the determination of the "global" rho (the pt/A
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126 | // of each jet is divided by this factor) and when asking for a
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127 | // local rho (the result is multiplied by this factor).
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128 | //
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129 | // The BackgroundRescalingYPolynomial class can be used to get a
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130 | // rescaling that depends just on rapidity.
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131 | //
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132 | // Note that this has to be called BEFORE any attempt to do an
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133 | // actual computation
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134 | void GridMedianBackgroundEstimator::set_rescaling_class(const FunctionOfPseudoJet<double> * rescaling_class_in) {
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135 | // The rescaling is taken into account when particles are set. So
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136 | // you need to call set_particles again if you set the rescaling
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137 | // class. We thus warn if there are already some available
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138 | // particles
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139 | if (_has_particles)
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140 | _warning_rescaling.warn("GridMedianBackgroundEstimator::set_rescaling_class(): trying to set the rescaling class when there are already particles that have been set is dangerous: the rescaling will not affect the already existing particles resulting in mis-estimation of rho. You need to call set_particles() again before proceeding with any background estimation.");
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141 |
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142 | BackgroundEstimatorBase::set_rescaling_class(rescaling_class_in);
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143 | }
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144 |
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145 |
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146 | //----------------------------------------------------------------------
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147 | // protected material
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148 | //----------------------------------------------------------------------
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149 | // configure the grid
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150 | void GridMedianBackgroundEstimator::setup_grid() {
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151 |
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152 | // since we've exchanged the arguments of the grid constructor,
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153 | // there's a danger of calls with exchanged ymax,spacing arguments --
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154 | // the following check should catch most such situations.
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155 | assert(_ymax>0 && _ymax - _ymin >= _requested_grid_spacing);
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156 |
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157 | // this grid-definition code is becoming repetitive -- it should
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158 | // probably be moved somewhere central...
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159 | double ny_double = (_ymax-_ymin) / _requested_grid_spacing;
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160 | _ny = int(ny_double+0.5);
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161 | _dy = (_ymax-_ymin) / _ny;
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162 |
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163 | _nphi = int (twopi / _requested_grid_spacing + 0.5);
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164 | _dphi = twopi / _nphi;
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165 |
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166 | // some sanity checking (could throw a fastjet::Error)
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167 | assert(_ny >= 1 && _nphi >= 1);
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168 |
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169 | _ntotal = _nphi * _ny;
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170 | _scalar_pt.resize(_ntotal);
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171 | _cell_area = _dy * _dphi;
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172 | }
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173 |
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174 |
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175 | //----------------------------------------------------------------------
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176 | // retrieve the grid cell index for a given PseudoJet
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177 | int GridMedianBackgroundEstimator::igrid(const PseudoJet & p) const {
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178 | // directly taking int does not work for values between -1 and 0
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179 | // so use floor instead
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180 | // double iy_double = (p.rap() - _ymin) / _dy;
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181 | // if (iy_double < 0.0) return -1;
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182 | // int iy = int(iy_double);
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183 | // if (iy >= _ny) return -1;
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184 |
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185 | // writing it as below gives a huge speed gain (factor two!). Even
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186 | // though answers are identical and the routine here is not the
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187 | // speed-critical step. It's not at all clear why.
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188 | int iy = int(floor( (p.rap() - _ymin) / _dy ));
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189 | if (iy < 0 || iy >= _ny) return -1;
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190 |
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191 | int iphi = int( p.phi()/_dphi );
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192 | assert(iphi >= 0 && iphi <= _nphi);
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193 | if (iphi == _nphi) iphi = 0; // just in case of rounding errors
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194 |
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195 | int igrid_res = iy*_nphi + iphi;
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196 | assert (igrid_res >= 0 && igrid_res < _ny*_nphi);
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197 | return igrid_res;
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198 | }
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199 |
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200 |
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201 | FASTJET_END_NAMESPACE // defined in fastjet/internal/base.hh
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