Outline The Rave Toolkit The Marlin Processors Summary. MarlinRave. An Alternative for Vertexing and Kinematic Fitting within Marlin
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1 An Alternative for Vertexing and Kinematic Fitting within Marlin Fabian Moser Wolfgang Waltenberger Institute for High Energy Physics of the Austrian Academy of Sciences ECFA Workshop 9-12 June 2008, Warsaw, Poland
2 The Rave Toolkit Kinematic Fitting with Rave The Marlin Processors The RaveVertexing Processor The RaveKinematics Processor Installation Summary
3 The Rave Toolkit Toolkit in form of a shared library providing vertex finding and fitting tools Written in C++ with bindings to Java as well Has its roots in the CMS vertexing community Source code compatibility with CMSSW Thoroughly tested code Full range of robust vertexing algorithms B-Tagging Kinematic fitting
4 The Rave Toolkit Toolkit in form of a shared library providing vertex finding and fitting tools Written in C++ with bindings to Java as well Has its roots in the CMS vertexing community Source code compatibility with CMSSW Thoroughly tested code Full range of robust vertexing algorithms B-Tagging Kinematic fitting
5 The Rave Toolkit Toolkit in form of a shared library providing vertex finding and fitting tools Written in C++ with bindings to Java as well Has its roots in the CMS vertexing community Source code compatibility with CMSSW Thoroughly tested code Full range of robust vertexing algorithms B-Tagging Kinematic fitting
6 The Rave Toolkit Toolkit in form of a shared library providing vertex finding and fitting tools Written in C++ with bindings to Java as well Has its roots in the CMS vertexing community Source code compatibility with CMSSW Thoroughly tested code Full range of robust vertexing algorithms B-Tagging Kinematic fitting
7 The Rave Toolkit Toolkit in form of a shared library providing vertex finding and fitting tools Written in C++ with bindings to Java as well Has its roots in the CMS vertexing community Source code compatibility with CMSSW Thoroughly tested code Full range of robust vertexing algorithms B-Tagging Kinematic fitting
8 The Rave Toolkit Toolkit in form of a shared library providing vertex finding and fitting tools Written in C++ with bindings to Java as well Has its roots in the CMS vertexing community Source code compatibility with CMSSW Thoroughly tested code Full range of robust vertexing algorithms B-Tagging Kinematic fitting
9 The Rave Toolkit Toolkit in form of a shared library providing vertex finding and fitting tools Written in C++ with bindings to Java as well Has its roots in the CMS vertexing community Source code compatibility with CMSSW Thoroughly tested code Full range of robust vertexing algorithms B-Tagging Kinematic fitting
10 The Rave Toolkit Toolkit in form of a shared library providing vertex finding and fitting tools Written in C++ with bindings to Java as well Has its roots in the CMS vertexing community Source code compatibility with CMSSW Thoroughly tested code Full range of robust vertexing algorithms B-Tagging Kinematic fitting
11 The Kinematic Fitting Interface 1
12 The Kinematic Fitting Interface 1
13 The Kinematic Fitting Interface 1 void build(const std::vector<rave::kinematicparticle> & particles) { rave::kinematictreefactory factory(); rave::kinematictree tree = factory.usevertexfitter(particles); rave::kinematicparticle mother = tree.topparticle(); std::cout «The mass is «mother.fullstate().m(); return; }
14 The Kinematic Fitting Interface 1 void build(const std::vector<rave::kinematicparticle> & particles) { rave::kinematictreefactory factory(); rave::kinematictree tree = factory.usevertexfitter(particles); rave::kinematicparticle mother = tree.topparticle(); std::cout «The mass is «mother.fullstate().m(); return; }
15 The Kinematic Fitting Interface 1 void build(const std::vector<rave::kinematicparticle> & particles) { rave::kinematictreefactory factory(); rave::kinematictree tree = factory.usevertexfitter(particles); rave::kinematicparticle mother = tree.topparticle(); std::cout «The mass is «mother.fullstate().m(); return; }
16 The Kinematic Fitting Interface 1 void build(const std::vector<rave::kinematicparticle> & particles) { rave::kinematictreefactory factory(); rave::kinematictree tree = factory.usevertexfitter(particles); rave::kinematicparticle mother = tree.topparticle(); std::cout «The mass is «mother.fullstate().m(); return; }
17 The Kinematic Fitting Interface 1 void build(const std::vector<rave::kinematicparticle> & particles) { rave::kinematictreefactory factory(); rave::kinematictree tree = factory.usevertexfitter(particles); rave::kinematicparticle mother = tree.topparticle(); std::cout «The mass is «mother.fullstate().m(); return; }
18 The Kinematic Fitting Interface 2 void build(const std::vector<rave::kinematicparticle> & particles) { rave::kinematictreefactory factory(); rave::kinematicconstraintbuilder builder(); rave::kinematicconstraint constraint = builder.createfourmomentumkinematicconstraint( rave::vector4d(0.,0.,0.,500.), rave::vector4d(0.,0.,0.,0.), true); std::vector< rave::kinematicparticle > refitted = factory.useparticlefitter(particles, constraint, ppf:leppf ); rave::kinematictree tree = factory.usevertexfitter(refitted); rave::kinematicparticle mother = tree.topparticle(); std::cout «The mass is «mother.fullstate().m(); return; }
19 The Kinematic Fitting Interface 2 void build(const std::vector<rave::kinematicparticle> & particles) { rave::kinematictreefactory factory(); rave::kinematicconstraintbuilder builder(); rave::kinematicconstraint constraint = builder.createfourmomentumkinematicconstraint( rave::vector4d(0.,0.,0.,500.), rave::vector4d(0.,0.,0.,0.), true); std::vector< rave::kinematicparticle > refitted = factory.useparticlefitter(particles, constraint, ppf:leppf ); rave::kinematictree tree = factory.usevertexfitter(refitted); rave::kinematicparticle mother = tree.topparticle(); std::cout «The mass is «mother.fullstate().m(); return; }
20 The Kinematic Fitting Interface 2 void build(const std::vector<rave::kinematicparticle> & particles) { rave::kinematictreefactory factory(); rave::kinematicconstraintbuilder builder(); rave::kinematicconstraint constraint = builder.createfourmomentumkinematicconstraint( rave::vector4d(0.,0.,0.,500.), rave::vector4d(0.,0.,0.,0.), true); std::vector< rave::kinematicparticle > refitted = factory.useparticlefitter(particles, constraint, ppf:leppf ); rave::kinematictree tree = factory.usevertexfitter(refitted); rave::kinematicparticle mother = tree.topparticle(); std::cout «The mass is «mother.fullstate().m(); return; }
21 The Kinematic Fitting Interface 2 void build(const std::vector<rave::kinematicparticle> & particles) { rave::kinematictreefactory factory(); rave::kinematicconstraintbuilder builder(); rave::kinematicconstraint constraint = builder.createfourmomentumkinematicconstraint( rave::vector4d(0.,0.,0.,500.), rave::vector4d(0.,0.,0.,0.), true); std::vector< rave::kinematicparticle > refitted = factory.useparticlefitter(particles, constraint, ppf:leppf ); rave::kinematictree tree = factory.usevertexfitter(refitted); rave::kinematicparticle mother = tree.topparticle(); std::cout «The mass is «mother.fullstate().m(); return; }
22 The Kinematic Fitting Interface 2 void build(const std::vector<rave::kinematicparticle> & particles) { rave::kinematictreefactory factory(); rave::kinematicconstraintbuilder builder(); rave::kinematicconstraint constraint = builder.createfourmomentumkinematicconstraint( rave::vector4d(0.,0.,0.,500.), rave::vector4d(0.,0.,0.,0.), true); std::vector< rave::kinematicparticle > refitted = factory.useparticlefitter(particles, constraint, ppf:leppf ); rave::kinematictree tree = factory.usevertexfitter(refitted); rave::kinematicparticle mother = tree.topparticle(); std::cout «The mass is «mother.fullstate().m(); return; }
23 The Marlin Processors RaveVertexing Takes a LCIO::Track collection and produces a refitted LCIO::Track collection and a EVENT::Vertex collection. RaveKinematics Takes a LCIO::ReconstructedParticle collection and produces a collection of new and refitted LCIO::ReconstructedParticles representing the edges of the rave::kinematictree togehter with a LCIO::Vertex collection holding its nodes.
24 The Marlin Processors RaveVertexing Takes a LCIO::Track collection and produces a refitted LCIO::Track collection and a EVENT::Vertex collection. RaveKinematics Takes a LCIO::ReconstructedParticle collection and produces a collection of new and refitted LCIO::ReconstructedParticles representing the edges of the rave::kinematictree togehter with a LCIO::Vertex collection holding its nodes.
25 The RaveVertexing Processor Configuration <processor name= " MyRaveVertexing " type= " RaveVertexing "> <parameter name= " Tracks " type= " string ">Tracks < / parameter> <parameter name= " Method " type= " s t r i n g "> d e f a u l t < / parameter> <parameter name= " Verbose " type= " i n t ">0 < / parameter> <parameter name= " V e r t i c e s " type= " s t r i n g " > V e r t i c e s < / parameter> <parameter name= " R e f i t t e d T r a c k s " type= " s t r i n g " > R e f i t t e d T r a c k s < / parameter> < / processor> Available Methods: default Standard Kalman filter tkf Trimmed Kalman vertex finder avf Adaptive vertex finder/fitter mvf Multi vertex finder/fitter All methods accept optional tuning parameters. Performance has been shown in Berlin 2008 and Hamburg in May/June 2007
26 The RaveVertexing Processor Configuration <processor name= " MyRaveVertexing " type= " RaveVertexing "> <parameter name= " Tracks " type= " string ">Tracks < / parameter> <parameter name= " Method " type= " s t r i n g "> d e f a u l t < / parameter> <parameter name= " Verbose " type= " i n t ">0 < / parameter> <parameter name= " V e r t i c e s " type= " s t r i n g " > V e r t i c e s < / parameter> <parameter name= " R e f i t t e d T r a c k s " type= " s t r i n g " > R e f i t t e d T r a c k s < / parameter> < / processor> Available Methods: default Standard Kalman filter tkf Trimmed Kalman vertex finder avf Adaptive vertex finder/fitter mvf Multi vertex finder/fitter All methods accept optional tuning parameters. Performance has been shown in Berlin 2008 and Hamburg in May/June 2007
27 The RaveVertexing Processor Configuration <processor name= " MyRaveVertexing " type= " RaveVertexing "> <parameter name= " Tracks " type= " string ">Tracks < / parameter> <parameter name= " Method " type= " s t r i n g "> d e f a u l t < / parameter> <parameter name= " Verbose " type= " i n t ">0 < / parameter> <parameter name= " V e r t i c e s " type= " s t r i n g " > V e r t i c e s < / parameter> <parameter name= " R e f i t t e d T r a c k s " type= " s t r i n g " > R e f i t t e d T r a c k s < / parameter> < / processor> Available Methods: default Standard Kalman filter tkf Trimmed Kalman vertex finder avf Adaptive vertex finder/fitter mvf Multi vertex finder/fitter All methods accept optional tuning parameters. Performance has been shown in Berlin 2008 and Hamburg in May/June 2007
28 The RaveVertexing Processor Configuration <processor name= " MyRaveVertexing " type= " RaveVertexing "> <parameter name= " Tracks " type= " string ">Tracks < / parameter> <parameter name= " Method " type= " s t r i n g "> d e f a u l t < / parameter> <parameter name= " Verbose " type= " i n t ">0 < / parameter> <parameter name= " V e r t i c e s " type= " s t r i n g " > V e r t i c e s < / parameter> <parameter name= " R e f i t t e d T r a c k s " type= " s t r i n g " > R e f i t t e d T r a c k s < / parameter> < / processor> Available Methods: default Standard Kalman filter tkf Trimmed Kalman vertex finder avf Adaptive vertex finder/fitter mvf Multi vertex finder/fitter All methods accept optional tuning parameters. Performance has been shown in Berlin 2008 and Hamburg in May/June 2007
29 The RaveVertexing Processor Configuration <processor name= " MyRaveVertexing " type= " RaveVertexing "> <parameter name= " Tracks " type= " string ">Tracks < / parameter> <parameter name= " Method " type= " s t r i n g "> d e f a u l t < / parameter> <parameter name= " Verbose " type= " i n t ">0 < / parameter> <parameter name= " V e r t i c e s " type= " s t r i n g " > V e r t i c e s < / parameter> <parameter name= " R e f i t t e d T r a c k s " type= " s t r i n g " > R e f i t t e d T r a c k s < / parameter> < / processor> Available Methods: default Standard Kalman filter tkf Trimmed Kalman vertex finder avf Adaptive vertex finder/fitter mvf Multi vertex finder/fitter All methods accept optional tuning parameters. Performance has been shown in Berlin 2008 and Hamburg in May/June 2007
30 The RaveVertexing Processor Configuration <processor name= " MyRaveVertexing " type= " RaveVertexing "> <parameter name= " Tracks " type= " string ">Tracks < / parameter> <parameter name= " Method " type= " s t r i n g "> d e f a u l t < / parameter> <parameter name= " Verbose " type= " i n t ">0 < / parameter> <parameter name= " V e r t i c e s " type= " s t r i n g " > V e r t i c e s < / parameter> <parameter name= " R e f i t t e d T r a c k s " type= " s t r i n g " > R e f i t t e d T r a c k s < / parameter> < / processor> Available Methods: default Standard Kalman filter tkf Trimmed Kalman vertex finder avf Adaptive vertex finder/fitter mvf Multi vertex finder/fitter All methods accept optional tuning parameters. Performance has been shown in Berlin 2008 and Hamburg in May/June 2007
31 The RaveKinematics Processor 1 Configuration <processor name= " MyRaveKinematics " type= " RaveKinematics "> <parameter name= " P a r t i c l e s " type= " s t r i n g "> P a r t i c l e s < / parameter> <parameter name= " Topology " type= " string ">SingleVertex < / parameter> <parameter name= " Parameters " type= " string "> < / parameter> <parameter name= " Verbose " type= " i n t ">0 < / parameter> <parameter name= " K i n e m a t i c P a r t i c l e s " type= " s t r i n g " > K i n e m a t i c P a r t i c l e s < / parameter> <parameter name= " KinematicVertices " type= " s t r i n g " > KinematicVertices < / parameter> < / processor> Currently available topologies: SingleVertex Fits all given particles to one vertex TwoTrackMass Assumes an invariant mass of the first two given particles WW4Jet Takes four jets and pairs them to two Ws histogramming the resulting W masses New topologies are easily introduced by pasting them into the topologies directory of the processor.
32 The RaveKinematics Processor 1 Configuration <processor name= " MyRaveKinematics " type= " RaveKinematics "> <parameter name= " P a r t i c l e s " type= " s t r i n g "> P a r t i c l e s < / parameter> <parameter name= " Topology " type= " string ">SingleVertex < / parameter> <parameter name= " Parameters " type= " string "> < / parameter> <parameter name= " Verbose " type= " i n t ">0 < / parameter> <parameter name= " K i n e m a t i c P a r t i c l e s " type= " s t r i n g " > K i n e m a t i c P a r t i c l e s < / parameter> <parameter name= " KinematicVertices " type= " s t r i n g " > KinematicVertices < / parameter> < / processor> Currently available topologies: SingleVertex Fits all given particles to one vertex TwoTrackMass Assumes an invariant mass of the first two given particles WW4Jet Takes four jets and pairs them to two Ws histogramming the resulting W masses New topologies are easily introduced by pasting them into the topologies directory of the processor.
33 The RaveKinematics Processor 1 Configuration <processor name= " MyRaveKinematics " type= " RaveKinematics "> <parameter name= " P a r t i c l e s " type= " s t r i n g "> P a r t i c l e s < / parameter> <parameter name= " Topology " type= " string ">SingleVertex < / parameter> <parameter name= " Parameters " type= " string "> < / parameter> <parameter name= " Verbose " type= " i n t ">0 < / parameter> <parameter name= " K i n e m a t i c P a r t i c l e s " type= " s t r i n g " > K i n e m a t i c P a r t i c l e s < / parameter> <parameter name= " KinematicVertices " type= " s t r i n g " > KinematicVertices < / parameter> < / processor> Currently available topologies: SingleVertex Fits all given particles to one vertex TwoTrackMass Assumes an invariant mass of the first two given particles WW4Jet Takes four jets and pairs them to two Ws histogramming the resulting W masses New topologies are easily introduced by pasting them into the topologies directory of the processor.
34 The RaveKinematics Processor 1 Configuration <processor name= " MyRaveKinematics " type= " RaveKinematics "> <parameter name= " P a r t i c l e s " type= " s t r i n g "> P a r t i c l e s < / parameter> <parameter name= " Topology " type= " string ">SingleVertex < / parameter> <parameter name= " Parameters " type= " string "> < / parameter> <parameter name= " Verbose " type= " i n t ">0 < / parameter> <parameter name= " K i n e m a t i c P a r t i c l e s " type= " s t r i n g " > K i n e m a t i c P a r t i c l e s < / parameter> <parameter name= " KinematicVertices " type= " s t r i n g " > KinematicVertices < / parameter> < / processor> Currently available topologies: SingleVertex Fits all given particles to one vertex TwoTrackMass Assumes an invariant mass of the first two given particles WW4Jet Takes four jets and pairs them to two Ws histogramming the resulting W masses New topologies are easily introduced by pasting them into the topologies directory of the processor.
35 The RaveKinematics Processor 1 Configuration <processor name= " MyRaveKinematics " type= " RaveKinematics "> <parameter name= " P a r t i c l e s " type= " s t r i n g "> P a r t i c l e s < / parameter> <parameter name= " Topology " type= " string ">SingleVertex < / parameter> <parameter name= " Parameters " type= " string "> < / parameter> <parameter name= " Verbose " type= " i n t ">0 < / parameter> <parameter name= " K i n e m a t i c P a r t i c l e s " type= " s t r i n g " > K i n e m a t i c P a r t i c l e s < / parameter> <parameter name= " KinematicVertices " type= " s t r i n g " > KinematicVertices < / parameter> < / processor> Currently available topologies: SingleVertex Fits all given particles to one vertex TwoTrackMass Assumes an invariant mass of the first two given particles WW4Jet Takes four jets and pairs them to two Ws histogramming the resulting W masses New topologies are easily introduced by pasting them into the topologies directory of the processor.
36 The RaveKinematics Processor 2 The SingleVertex topology #include " KinematicTopology. h " #include <rave / KinematicTreeFactory. h> class TopologySingleVertex : public KinematicTopology { public : std : : s t r i n g describe ( ) const { return " Reconstructs a mother particle from a l l given daughters. " ; } ; rave : : KinematicTree b u i l d ( const rave : : KinematicTreeFactory & factory, const std : : vector < rave : : KinematicParticle > & particles, const i n t verbose = 0) const { return f a c t o r y. u s e V e r t e x F i t t e r ( p a r t i c l e s ) ; } ; } ; bool valid ( ) const { return true ; } ; #include " TopologyBuilder. h " namespace { TopologyBuilder <TopologySingleVertex > t ( " SingleVertex ", " Only vertex " ) ; }
37 Outline The Rave Toolkit The Marlin Processors Summary The RaveKinematics Processor 3 Reconstruction of WW 4jet input events Constraint to 500 GeV CME; Best association between jets and W s. M_W hrecwmassbest Entries 2752 Mean RMS χ / ndf / 119 p e+07 ± p ± 0.09 p ± M_W hrecwmassnofitbest Entries 2752 Mean 92.6 RMS χ / ndf 1054 / 112 p e+07 ± p ± 0.56 p ± M_W hrecwmassall Entries 8256 Mean RMS χ / ndf 1906 / 194 p e+08 ± p ± 0.1 p ± M_W hrecwmassnofitall Entries 8256 Mean RMS χ / ndf 1734 / 191 p e+08 ± p ± 0.46 p ± %/ E energy resolution and angular resolution of 10 mrad both on φ and θ.
38 Installation The build system is CMake which should faciliate integration into the existing Marlin toolchain. The Rave library is fully integrated, automatically built along with and statically linked to it. (Presence of Autotools is required for Rave to build automatically) For detailed instructions please visit the wiki page at If accepted, integration into the ilcinstall setup scripts should be easliy realized
39 Installation The build system is CMake which should faciliate integration into the existing Marlin toolchain. The Rave library is fully integrated, automatically built along with and statically linked to it. (Presence of Autotools is required for Rave to build automatically) For detailed instructions please visit the wiki page at If accepted, integration into the ilcinstall setup scripts should be easliy realized
40 Installation The build system is CMake which should faciliate integration into the existing Marlin toolchain. The Rave library is fully integrated, automatically built along with and statically linked to it. (Presence of Autotools is required for Rave to build automatically) For detailed instructions please visit the wiki page at If accepted, integration into the ilcinstall setup scripts should be easliy realized
41 Installation The build system is CMake which should faciliate integration into the existing Marlin toolchain. The Rave library is fully integrated, automatically built along with and statically linked to it. (Presence of Autotools is required for Rave to build automatically) For detailed instructions please visit the wiki page at If accepted, integration into the ilcinstall setup scripts should be easliy realized
42 Summary Rave provides full CMSSW vertex finding and fitting facilities and parts of its kinematic fitting algorithms provides Marlin with those capabilities through two new Marlin processors called RaveVertexing and RaveKinematics First physics analysis tests of those processors have been run with success features easy integration in existing Marlin setups
43 Summary Rave provides full CMSSW vertex finding and fitting facilities and parts of its kinematic fitting algorithms provides Marlin with those capabilities through two new Marlin processors called RaveVertexing and RaveKinematics First physics analysis tests of those processors have been run with success features easy integration in existing Marlin setups
44 Summary Rave provides full CMSSW vertex finding and fitting facilities and parts of its kinematic fitting algorithms provides Marlin with those capabilities through two new Marlin processors called RaveVertexing and RaveKinematics First physics analysis tests of those processors have been run with success features easy integration in existing Marlin setups
45 Summary Rave provides full CMSSW vertex finding and fitting facilities and parts of its kinematic fitting algorithms provides Marlin with those capabilities through two new Marlin processors called RaveVertexing and RaveKinematics First physics analysis tests of those processors have been run with success features easy integration in existing Marlin setups
46 Why no mass constraint? PiPlots W masses against each other
47 Why no mass constraint? 1D Hist of W masses
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