Belle II Software development
SVDStateFilterFactory.cc
1/**************************************************************************
2 * basf2 (Belle II Analysis Software Framework) *
3 * Author: The Belle II Collaboration *
4 * *
5 * See git log for contributors and copyright holders. *
6 * This file is licensed under LGPL-3.0, see LICENSE.md. *
7 **************************************************************************/
8#include <tracking/ckf/svd/filters/states/SVDStateFilterFactory.h>
9
10#include <tracking/trackFindingCDC/filters/base/FilterFactory.icc.h>
11#include <tracking/trackFindingCDC/filters/base/NoneFilter.icc.h>
12#include <tracking/trackFindingCDC/filters/base/NegativeFilter.icc.h>
13#include <tracking/trackFindingCDC/filters/base/ChoosableFromVarSetFilter.icc.h>
14#include <tracking/trackFindingCDC/filters/base/AndFilter.icc.h>
15#include <tracking/trackFindingCDC/filters/base/RecordingFilter.icc.h>
16#include <tracking/trackFindingCDC/filters/base/MVAFilter.icc.h>
17#include <tracking/trackFindingCDC/filters/base/SloppyFilter.icc.h>
18#include <tracking/trackFindingCDC/filters/base/TruthVarFilter.icc.h>
19
20#include <tracking/trackFindingCDC/varsets/VariadicUnionVarSet.h>
21
22#include <tracking/ckf/general/filters/AdvanceFilter.h>
23#include <tracking/ckf/general/filters/KalmanFilter.h>
24#include <tracking/ckf/svd/utilities/SVDAdvancer.h>
25#include <tracking/ckf/svd/utilities/SVDKalmanStepper.h>
26
27#include <tracking/ckf/svd/filters/states/SVDStateVarSet.h>
28#include <tracking/ckf/svd/filters/states/SVDStateBasicVarSet.h>
29#include <tracking/ckf/svd/filters/states/SVDStateTruthVarSet.h>
30#include <tracking/ckf/svd/filters/states/SimpleSVDStateFilter.h>
31#include <tracking/ckf/svd/filters/states/ResidualSVDStateFilter.h>
32#include <tracking/ckf/svd/filters/states/AllSVDStateFilter.h>
33#include <tracking/ckf/svd/filters/states/NonIPCrossingSVDStateFilter.h>
34
35using namespace Belle2;
36using namespace TrackFindingCDC;
37
38namespace {
40 using MCSVDStateFilter = TruthVarFilter<SVDStateTruthVarSet>;
41
43 using MCOrderingSVDStateFilter = ChoosableFromVarSetFilter<SVDStateTruthVarSet>;
44
46 using SloppyMCSVDStateFilter = Sloppy<TruthVarFilter<SVDStateTruthVarSet>>;
47
50
53
55 using AndSVDStateFilter = AndFilter<BaseSVDStateFilter>;
56
58 class SloppyRecordingSVDStateFilter : public RecordingSVDStateFilter {
59 public:
60 explicit SloppyRecordingSVDStateFilter(const std::string& defaultRootFileName) : RecordingSVDStateFilter(defaultRootFileName)
61 {
62 setSkimFilter(std::make_unique<SloppyMCSVDStateFilter>());
63 }
64 };
65}
66
67
68SVDStateFilterFactory::SVDStateFilterFactory(const std::string& defaultFilterName)
69 : Super(defaultFilterName)
70{
71}
72
74
76{
77 return "SVDState";
78}
79
81{
82 return "Reject SVD CKF states. ";
83}
84
85std::map<std::string, std::string> SVDStateFilterFactory::getValidFilterNamesAndDescriptions() const
86{
87 return {
88 {"none", "no track combination is valid"},
89 {"all", "set all track combinations as good"},
90 {"non_ip_crossing", "all combinations are fine, except for crossing IPs"},
91 {"advance", "extrapolate the states"},
92 {"fit", "update the mSoP using a Kalman Filter"},
93 {"truth", "monte carlo truth"},
94 {"ordering_truth", "monte carlo truth ordering"},
95 {"sloppy_truth", "sloppy monte carlo truth"},
96 {"simple", "simple filter to be used in svd"},
97 {"residual", "residual filter to be used in svd"},
98 {"recording", "record variables to a TTree"},
99 {"recording_and_truth", "record variables to a TTree and store truth information"},
100 {"recording_with_direction_check", "record variables to a TTree with direction check"},
101 {"mva", "MVA filter"},
102 {"mva_with_direction_check", "MVA filter with direction check"},
103 {"sloppy_recording", "record variables to a TTree"},
104 };
105}
106
107std::unique_ptr<BaseSVDStateFilter>
108SVDStateFilterFactory::create(const std::string& filterName) const
109{
110 if (filterName == "none") {
111 return std::make_unique<TrackFindingCDC::NoneFilter<BaseSVDStateFilter>>();
112 } else if (filterName == "all") {
113 return std::make_unique<AllSVDStateFilter>();
114 } else if (filterName == "non_ip_crossing") {
115 return std::make_unique<NonIPCrossingSVDStateFilter>();
116 } else if (filterName == "advance") {
117 return std::make_unique<AdvanceFilter<CKFToSVDState, SVDAdvancer>>();
118 } else if (filterName == "fit") {
119 return std::make_unique<KalmanFilter<CKFToSVDState, SVDKalmanStepper>>();
120 } else if (filterName == "simple") {
121 return std::make_unique<SimpleSVDStateFilter>();
122 } else if (filterName == "residual") {
123 return std::make_unique<ResidualSVDStateFilter>();
124 } else if (filterName == "truth") {
125 return std::make_unique<MCSVDStateFilter>();
126 } else if (filterName == "ordering_truth") {
127 return std::make_unique<MCOrderingSVDStateFilter>("truth_inverted");
128 } else if (filterName == "sloppy_truth") {
129 return std::make_unique<SloppyMCSVDStateFilter>();
130 } else if (filterName == "recording") {
131 return std::make_unique<RecordingSVDStateFilter>("SVDStateFilter.root");
132 } else if (filterName == "recording_and_truth") {
133 return std::make_unique<AndSVDStateFilter>(
134 std::make_unique<RecordingSVDStateFilter>("SVDStateFilter.root"),
135 std::make_unique<MCSVDStateFilter>());
136 } else if (filterName == "recording_with_direction_check") {
137 return std::make_unique<AndSVDStateFilter>(
138 std::make_unique<NonIPCrossingSVDStateFilter>(),
139 std::make_unique<RecordingSVDStateFilter>("SVDStateFilter.root"));
140 } else if (filterName == "mva") {
141 return std::make_unique<MVASVDStateFilter>("ckf_CDCSVDStateFilter_1");
142 } else if (filterName == "mva_with_direction_check") {
143 return std::make_unique<AndSVDStateFilter>(
144 std::make_unique<NonIPCrossingSVDStateFilter>(),
145 std::make_unique<MVASVDStateFilter>("ckf_CDCSVDStateFilter_1"));
146 } else if (filterName == "sloppy_recording") {
147 return std::make_unique<SloppyRecordingSVDStateFilter>("SVDStateFilter.root");
148 } else {
149 return Super::create(filterName);
150 }
151}
std::map< std::string, std::string > getValidFilterNamesAndDescriptions() const override
Getter for valid filter names and a description for each.
std::unique_ptr< BaseSVDStateFilter > create(const std::string &filterName) const override
Create a filter with the given name.
SVDStateFilterFactory(const std::string &defaultFilterName="all")
Constructor forwarding the default filter name.
std::string getIdentifier() const override
Getter for a short identifier for the factory.
~SVDStateFilterFactory()
Default destructor.
std::string getFilterPurpose() const override
Getter for a descriptive purpose of the constructed filters.
Filter adapter type that joins two filter results in an and like fashion.
Definition: AndFilter.dcl.h:24
Convience template to create a filter returning on variable from a set of variables.
virtual std::unique_ptr< BaseSVDStateFilter > create(const std::string &filterName) const
Create a filter with the given name, does not set filter specific parameters.
Filter adapter type that negates the acceptance criterion for cross checks.
Convience template to create a recording filter for a set of variables.
A filter that accepts every "sloppinessFactor"th candidate on average (random selection)
MC Filter Type using a VarSet and the truth variable in it.
Abstract base class for different kinds of events.