[d7d2da3] | 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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