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ImprovedOutputFile Timing dual_readout llp 3.3.3pre11
Last change on this file since 239e1d0 was 35cdc46, checked in by Pavel Demin <demin@…>, 10 years ago

upgrade FastJet to version 3.1.0-beta.1, upgrade Nsubjettiness to version 2.1.0, add SoftKiller version 1.0.0

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[35cdc46]1//FJSTARTHEADER
2// $Id: Dnn2piCylinder.hh 3442 2014-07-24 07:20:49Z salam $
[d7d2da3]3//
[35cdc46]4// Copyright (c) 2005-2014, Matteo Cacciari, Gavin P. Salam and Gregory Soyez
[d7d2da3]5//
6//----------------------------------------------------------------------
7// This file is part of FastJet.
8//
9// FastJet is free software; you can redistribute it and/or modify
10// it under the terms of the GNU General Public License as published by
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12// (at your option) any later version.
13//
14// The algorithms that underlie FastJet have required considerable
[35cdc46]15// development. They are described in the original FastJet paper,
16// hep-ph/0512210 and in the manual, arXiv:1111.6097. If you use
[d7d2da3]17// FastJet as part of work towards a scientific publication, please
[35cdc46]18// quote the version you use and include a citation to the manual and
19// optionally also to hep-ph/0512210.
[d7d2da3]20//
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24// GNU General Public License for more details.
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27// along with FastJet. If not, see <http://www.gnu.org/licenses/>.
28//----------------------------------------------------------------------
[35cdc46]29//FJENDHEADER
[d7d2da3]30
31
32#ifndef DROP_CGAL // in case we do not have the code for CGAL
33#ifndef __FASTJET_DNN2PICYLINDER_HH__
34#define __FASTJET_DNN2PICYLINDER_HH__
35
36#include "fastjet/internal/DynamicNearestNeighbours.hh"
37#include "fastjet/internal/DnnPlane.hh"
38#include "fastjet/internal/numconsts.hh"
39
40FASTJET_BEGIN_NAMESPACE // defined in fastjet/internal/base.hh
41
42
43/// \if internal_doc
44/// @ingroup internal
45/// \class Dnn2piCylinder
46/// class derived from DynamicNearestNeighbours that provides an
47/// implementation for the surface of cylinder (using one
48/// DnnPlane object spanning 0--2pi).
49/// \endif
50class Dnn2piCylinder : public DynamicNearestNeighbours {
51 public:
52 /// empty initaliser
53 Dnn2piCylinder() {}
54
55 /// Initialiser from a set of points on an Eta-Phi plane, where
56 /// eta can have an arbitrary ranges and phi must be in range
57 /// 0 <= phi < 2pi;
58 ///
59 /// NB: this class is more efficient than the plain Dnn4piCylinder
60 /// class, but can give wrong answers when the nearest neighbour is
61 /// further away than 2pi (in this case a point's nearest neighbour
62 /// becomes itself, because it is considered to be a distance 2pi
63 /// away). For the kt-algorithm (e.g.) this is actually not a
64 /// problem (the distance need only be accurate when it is less than
65 /// R, assuming R<2pi [not necessarily always the case as of
66 /// 2010-11-19, when we've removed the requirement R<pi/2 in the
67 /// JetDefinition constructor]), so we can tell the routine to
68 /// ignore this problem -- alternatively the routine will crash if
69 /// it detects it occurring (only when finding the nearest neighbour
70 /// index, not its distance).
71 Dnn2piCylinder(const std::vector<EtaPhi> &,
72 const bool & ignore_nearest_is_mirror = false,
73 const bool & verbose = false );
74
75 /// Returns the index of the nearest neighbour of point labelled
76 /// by ii (assumes ii is valid)
[35cdc46]77 int NearestNeighbourIndex(const int ii) const ;
[d7d2da3]78
79 /// Returns the distance to the nearest neighbour of point labelled
80 /// by index ii (assumes ii is valid)
[35cdc46]81 double NearestNeighbourDistance(const int ii) const ;
[d7d2da3]82
83 /// Returns true iff the given index corresponds to a point that
84 /// exists in the DNN structure (meaning that it has been added, and
85 /// not removed in the meantime)
[35cdc46]86 bool Valid(const int index) const;
[d7d2da3]87
88 void RemoveAndAddPoints(const std::vector<int> & indices_to_remove,
89 const std::vector<EtaPhi> & points_to_add,
90 std::vector<int> & indices_added,
91 std::vector<int> & indices_of_updated_neighbours);
92
93 ~Dnn2piCylinder();
94
95 private:
96
97 // our extras to help us navigate, find distance, etc.
98 const static int INEXISTENT_VERTEX=-3;
99
100 bool _verbose;
101
102 bool _ignore_nearest_is_mirror;
103
104 /// Picture of how things will work... Copy 0--pi part of the 0--2pi
105 /// cylinder into a region 2pi--2pi+ a bit of a Euclidean plane. Below we
106 /// show points labelled by + that have a mirror image in this
107 /// manner, while points labelled by * do not have a mirror image.
108 ///
109 /// | . |
110 /// | . |
111 /// | . |
112 /// | . |
113 /// | 2 . |
114 /// | * . |
115 /// | + . + |
116 /// | 0 . 1 |
117 /// | . |
118 /// 0 2pi 2pi + a bit
119 ///
120 /// Each "true" point has its true "cylinder" index (the index that
121 /// is known externally to this class) as well as euclidean plane
122 /// indices (main_index and mirror index in the MirrorVertexInfo
123 /// structure), which are private concepts of this class.
124 ///
125 /// In above picture our structures would hold the following info
126 /// (the picture shows the euclidean-plane numbering)
127 ///
128 /// _mirror_info[cylinder_index = 0] = (0, 1)
129 /// _mirror_info[cylinder_index = 1] = (2, INEXISTENT_VERTEX)
130 ///
131 /// We also need to be able to go from the euclidean plane indices
132 /// back to the "true" cylinder index, and for this purpose we use
133 /// the std::vector _cylinder_index_of_plane_vertex[...], which in the above example has
134 /// the following contents
135 ///
136 /// _cylinder_index_of_plane_vertex[0] = 0
137 /// _cylinder_index_of_plane_vertex[1] = 0
138 /// _cylinder_index_of_plane_vertex[2] = 1
139 ///
140
141 ///
142 struct MirrorVertexInfo {
143 /// index of the given point (appearing in the range 0--2pi) in the
144 /// 0--2pi euclidean plane structure (position will coincide with
145 /// that on the 0--2pi cylinder, but index labelling it will be
146 /// different)
147 int main_index;
148 /// index of the mirror point (appearing in the range 2pi--3pi) in the
149 /// 0--3pi euclidean plane structure
150 int mirror_index;
151 };
152
153 // for each "true" vertex we have reference to indices in the euclidean
154 // plane structure
155 std::vector<MirrorVertexInfo> _mirror_info;
156 // for each index in the euclidean 0--2pi plane structure we want to
157 // be able to get back to the "true" vertex index on the overall
158 // 0--2pi cylinder structure
159 std::vector<int> _cylinder_index_of_plane_vertex;
160
161 // NB: we define POINTERS here because the initialisation gave
162 // us problems (things crashed!), perhaps because in practice
163 // we were making a copy without being careful and defining
164 // a proper copy constructor.
165 DnnPlane * _DNN;
166
167 /// given a phi value in the 0--pi range return one
168 /// in the 2pi--3pi range; whereas if it is in the pi-2pi range then
169 /// remap it to be inthe range (-pi)--0.
170 inline EtaPhi _remap_phi(const EtaPhi & point) {
171 double phi = point.second;
172 if (phi < pi) { phi += twopi ;} else {phi -= twopi;}
173 return EtaPhi(point.first, phi);}
174
175
176 //----------------------------------------------------------------------
177 /// Actions here are similar to those in the
178 /// Dnn3piCylinder::_RegisterCylinderPoint case, however here we do
179 /// NOT create the mirror point -- instead we initialise the structure
180 /// as if there were no need for the mirror point.
181 ///
182 /// ADDITIONALLY push the cylinder_point onto the vector plane_points.
183 void _RegisterCylinderPoint (const EtaPhi & cylinder_point,
184 std::vector<EtaPhi> & plane_points);
185
186 /// For each plane point specified in the vector plane_indices,
187 /// establish whether there is a need to create a mirror point
188 /// according to the following criteria:
189 ///
190 /// . phi < pi
191 /// . mirror does not already exist
192 /// . phi < NearestNeighbourDistance
193 /// (if this is not true then there is no way that its mirror point
194 /// could have a nearer neighbour).
195 ///
196 /// If conditions all hold, then create the mirror point, insert it
197 /// into the _DNN structure, adjusting any nearest neighbours, and
198 /// return the list of plane points whose nearest neighbours have
199 /// changed (this will include the new neighbours that have just been
200 /// added)
201 void _CreateNecessaryMirrorPoints(
202 const std::vector<int> & plane_indices,
203 std::vector<int> & updated_plane_points);
204
205};
206
207
208// here follow some inline implementations of the simpler of the
209// functions defined above
210
211//----------------------------------------------------------------------
212/// Note: one of the difficulties of the 0--2pi mapping is that
213/// a point may have its mirror copy as its own nearest neighbour
214/// (if no other point is within a distance of 2pi). This does
215/// not matter for the kt_algorithm with
216/// reasonable values of radius, but might matter for a general use
217/// of this algorithm -- depending on whether or not the user has
218/// initialised the class with instructions to ignore this problem the
219/// program will detect and ignore it, or crash.
[35cdc46]220inline int Dnn2piCylinder::NearestNeighbourIndex(const int current) const {
[d7d2da3]221 int main_index = _mirror_info[current].main_index;
222 int mirror_index = _mirror_info[current].mirror_index;
223 int plane_index;
224 if (mirror_index == INEXISTENT_VERTEX ) {
225 plane_index = _DNN->NearestNeighbourIndex(main_index);
226 } else {
227 plane_index = (
228 _DNN->NearestNeighbourDistance(main_index) <
229 _DNN->NearestNeighbourDistance(mirror_index)) ?
230 _DNN->NearestNeighbourIndex(main_index) :
231 _DNN->NearestNeighbourIndex(mirror_index) ;
232 }
233 int this_cylinder_index = _cylinder_index_of_plane_vertex[plane_index];
234 // either the user has acknowledged the fact that they may get the
235 // mirror copy as the closest point, or crash if it should occur
236 // that mirror copy is the closest point.
237 assert(_ignore_nearest_is_mirror || this_cylinder_index != current);
238 //if (this_cylinder_index == current) {
239 // cerr << "WARNING point "<<current<<
240 // " has its mirror copy as its own nearest neighbour"<<endl;
241 //}
242 return this_cylinder_index;
243}
244
[35cdc46]245inline double Dnn2piCylinder::NearestNeighbourDistance(const int current) const {
[d7d2da3]246 int main_index = _mirror_info[current].main_index;
247 int mirror_index = _mirror_info[current].mirror_index;
248 if (mirror_index == INEXISTENT_VERTEX ) {
249 return _DNN->NearestNeighbourDistance(main_index);
250 } else {
251 return (
252 _DNN->NearestNeighbourDistance(main_index) <
253 _DNN->NearestNeighbourDistance(mirror_index)) ?
254 _DNN->NearestNeighbourDistance(main_index) :
255 _DNN->NearestNeighbourDistance(mirror_index) ;
256 }
257
258}
259
[35cdc46]260inline bool Dnn2piCylinder::Valid(const int index) const {
[d7d2da3]261 return (_DNN->Valid(_mirror_info[index].main_index));
262}
263
264
265inline Dnn2piCylinder::~Dnn2piCylinder() {
266 delete _DNN;
267}
268
269
270FASTJET_END_NAMESPACE
271
272#endif // __FASTJET_DNN2PICYLINDER_HH__
273#endif //DROP_CGAL
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