namespace Gambit::ColliderBit::CMS #

CMS-specific efficiency and smearing functions for super fast detector simulation.

Functions #

Attributes #

Functions Documentation #

function applyElectronTrackingEff #

inline void applyElectronTrackingEff(
    std::vector< const HEPUtils::Particle * > & electrons
)

Randomly filter the supplied particle list by parameterised electron tracking efficiency.

function applyElectronEff #

inline void applyElectronEff(
    std::vector< const HEPUtils::Particle * > & electrons
)

Note:

• Should be applied after the electron energy smearing
• Eff values currently identical to those in ATLAS (AB, 2016-01-24)

Randomly filter the supplied particle list by parameterised electron efficiency

function applyMuonTrackEff #

inline void applyMuonTrackEff(
    std::vector< const HEPUtils::Particle * > & muons
)

Note: Eff values currently identical to those in ATLAS (AB, 2016-01-24)

Randomly filter the supplied particle list by parameterised muon tracking efficiency

function applyMuonEff #

inline void applyMuonEff(
    std::vector< const HEPUtils::Particle * > & muons
)

Randomly filter the supplied particle list by parameterised muon efficiency.

function applyTauEfficiency #

inline void applyTauEfficiency(
    std::vector< const HEPUtils::Particle * > & taus
)

Randomly filter the supplied particle list by parameterised tau efficiency.

Note: No delete, because this should only ever be applied to copies of the Event Particle* vectors in Analysis routines

function smearElectronEnergy #

inline void smearElectronEnergy(
    std::vector< HEPUtils::Particle * > & electrons
)

Randomly smear the supplied electrons’ momenta by parameterised resolutions.

Function that mimics the DELPHES electron energy resolution. We need to smear E, then recalculate pT, then reset the 4-vector.

function smearMuonMomentum #

inline void smearMuonMomentum(
    std::vector< HEPUtils::Particle * > & muons
)

Randomly smear the supplied muons’ momenta by parameterised resolutions.

Function that mimics the DELPHES muon momentum resolution. We need to smear pT, then recalculate E, then reset the 4-vector.

function smearJets #

inline void smearJets(
    std::vector< HEPUtils::Jet * > & jets
)

Randomly smear the supplied jets’ momenta by parameterised resolutions.

Todo: Update cf. Matthias study for ATLAS

Function that mimics the DELPHES jet momentum resolution. We need to smear pT, then recalculate E, then reset the 4-vector

TodoThis is the ATLAS number… I can’t find values for the CMS parameterisation, cf. https://cds.cern.ch/record/1339945/files/JME-10-014-pas.pdfhttps://twiki.cern.ch/twiki/bin/view/CMSPublic/SWGuideJetResolutionhttps://github.com/adrager/cmssw/blob/CMSSW_7_2_X/CondFormats/JetMETObjects/test/TestCorrections.C

function smearTaus #

inline void smearTaus(
    std::vector< HEPUtils::Particle * > & taus
)

Randomly smear the supplied hadronic taus’ momenta by parameterised resolutions.

Todo: Update cf. Matthias study for ATLAS

We need to smear pT, then recalculate E, then reset the 4-vector. Same as for jets, but on a vector of particles. (?)

TodoIs this the best way to smear? Should we preserve the mean jet energy, or pT, or direction?

function applyCSVv2MediumBtagEff #

inline void applyCSVv2MediumBtagEff(
    std::vector< const HEPUtils::Jet * > & bjets
)

Note: Numbers digitized from https://twiki.cern.ch/twiki/pub/CMSPublic/SUSMoriond2017ObjectsEfficiency/btag_eff_CSVv2_DeepCSV.pdf

Apply efficiency function to CSVv2 medium WP b-tagged jets

function applyCSVv2MediumBtagEff #

inline void applyCSVv2MediumBtagEff(
    std::vector< HEPUtils::Jet * > & bjets
)

function applyCSVv2LooseBtagEff #

inline void applyCSVv2LooseBtagEff(
    std::vector< const HEPUtils::Jet * > & bjets
)

Note: Numbers digitized from https://twiki.cern.ch/twiki/pub/CMSPublic/SUSMoriond2017ObjectsEfficiency/btag_eff_CSVv2_DeepCSV.pdf

Apply efficiency function to CSVv2 loose WP b-tagged jets

function applyCSVv2LooseBtagEff #

inline void applyCSVv2LooseBtagEff(
    std::vector< HEPUtils::Jet * > & bjets
)

function applyCSVv2TightBtagEff #

inline void applyCSVv2TightBtagEff(
    std::vector< const HEPUtils::Jet * > & bjets
)

Note: Numbers digitized from https://twiki.cern.ch/twiki/pub/CMSPublic/SUSMoriond2017ObjectsEfficiency/btag_eff_CSVv2_DeepCSV.pdf

Apply efficiency function to CSVv2 tight WP b-tagged jets

function applyCSVv2TightBtagEff #

inline void applyCSVv2TightBtagEff(
    std::vector< HEPUtils::Jet * > & bjets
)

function applyBtagMisId #

inline void applyBtagMisId(
    double mis_id_prob,
    std::vector< const HEPUtils::Jet * > & jets,
    std::vector< const HEPUtils::Jet * > & bjets
)

Apply user-specified b-tag misidentification rate (flat)

function applyBtagMisId #

inline void applyBtagMisId(
    double mis_id_prob,
    std::vector< HEPUtils::Jet * > & jets,
    std::vector< HEPUtils::Jet * > & bjets
)

function applyCSVv2LooseBtagMisId #

inline void applyCSVv2LooseBtagMisId(
    std::vector< const HEPUtils::Jet * > & jets,
    std::vector< const HEPUtils::Jet * > & bjets
)

Note: Numbers from Table 2 in https://arxiv.org/pdf/1712.07158.pdf

Apply b-tag misidentification rate for CSVv2 loose WP

function applyCSVv2LooseBtagMisId #

inline void applyCSVv2LooseBtagMisId(
    std::vector< HEPUtils::Jet * > & jets,
    std::vector< HEPUtils::Jet * > & bjets
)

function applyCSVv2LooseBtagEffAndMisId #

inline void applyCSVv2LooseBtagEffAndMisId(
    std::vector< const HEPUtils::Jet * > & jets,
    std::vector< const HEPUtils::Jet * > & bjets
)

Apply both b-tag efficiency and misidentification rate for CSVv2 loose WP.

function applyCSVv2LooseBtagEffAndMisId #

inline void applyCSVv2LooseBtagEffAndMisId(
    std::vector< HEPUtils::Jet * > & jets,
    std::vector< HEPUtils::Jet * > & bjets
)

function applyCSVv2MediumBtagMisId #

inline void applyCSVv2MediumBtagMisId(
    std::vector< const HEPUtils::Jet * > & jets,
    std::vector< const HEPUtils::Jet * > & bjets
)

Note: Numbers from Table 2 in https://arxiv.org/pdf/1712.07158.pdf

Apply b-tag misidentification rate for CSVv2 medium WP

function applyCSVv2MediumBtagMisId #

inline void applyCSVv2MediumBtagMisId(
    std::vector< HEPUtils::Jet * > & jets,
    std::vector< HEPUtils::Jet * > & bjets
)

function applyCSVv2MediumBtagEffAndMisId #

inline void applyCSVv2MediumBtagEffAndMisId(
    std::vector< const HEPUtils::Jet * > & jets,
    std::vector< const HEPUtils::Jet * > & bjets
)

Apply both b-tag efficiency and misidentification rate for CSVv2 medium WP.

function applyCSVv2MediumBtagEffAndMisId #

inline void applyCSVv2MediumBtagEffAndMisId(
    std::vector< HEPUtils::Jet * > & jets,
    std::vector< HEPUtils::Jet * > & bjets
)

function eff2DEl_SUS_16_039 #

static const HEPUtils::BinnedFn2D< double > eff2DEl_SUS_16_039(
    {0., 0.8, 1.442, 1.556, 2., 2.5, DBL_MAX} ,
    {0., 10., 15., 20., 25., 30., 40., 50., DBL_MAX} ,
    { 0.0, 0.95, 0.507, 0.619, 0.682, 0.742, 0.798, 0.863, 0.0, 0.95, 0.429, 0.546, 0.619, 0.710, 0.734, 0.833, 0.0, 0.95, 0.256, 0.221, 0.315, 0.351, 0.373, 0.437, 0.0, 0.85, 0.249, 0.404, 0.423, 0.561, 0.642, 0.749, 0.0, 0.85, 0.195, 0.245, 0.380, 0.441, 0.533, 0.644, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 } 
)

Representative Muon and Electron efficiencies for the WPs of the identification techniques used in SUSY analyses From https://twiki.cern.ch/twiki/bin/view/CMSPublic/SUSMoriond2017ObjectsEfficiency {@

function eff2DMu_SUS_16_039 #

static const HEPUtils::BinnedFn2D< double > eff2DMu_SUS_16_039(
    {0., 0.9, 1.2, 2.1, 2.4, DBL_MAX} ,
    {0., 10., 15., 20., 25., 30., 40., 50., DBL_MAX} ,
    { 0.0, 0.704, 0.797, 0.855, 0.880, 0.906, 0.927, 0.931, 0.0, 0.639, 0.776, 0.836, 0.875, 0.898, 0.940, 0.930, 0.0, 0.596, 0.715, 0.840, 0.862, 0.891, 0.906, 0.925, 0.0, 0.522, 0.720, 0.764, 0.803, 0.807, 0.885, 0.877, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 } 
)

function eff2DTau_SUS_16_039 #

static const HEPUtils::BinnedFn2D< double > eff2DTau_SUS_16_039(
    {0., 2.3} ,
    {0., 25., 30., 35., 40., 45., 50., 60., 70., 80., DBL_MAX} ,
    {0.38 *0.95, 0.48 *0.95, 0.5 *0.95, 0.49 *0.95, 0.51 *0.95, 0.49 *0.95, 0.47 *0.95, 0.45 *0.95, 0.48 *0.95, 0.5 *0.95} 
)

function eff2DEl_SUS_19_008 #

static const HEPUtils::BinnedFn2D< double > eff2DEl_SUS_19_008(
    {0., 0.8, 1.442, 1.556, 2., 2.5, DBL_MAX} ,
    {0., 10., 15., 20., 25., 30., 40., 50., DBL_MAX} ,
    { 0.0, 0.95, 0.330, 0.412, 0.487, 0.561, 0.615, 0.701, 0.0, 0.95, 0.276, 0.367, 0.434, 0.520, 0.575, 0.660, 0.0, 0.95, 0.202, 0.170, 0.224, 0.261, 0.275, 0.341, 0.0, 0.85, 0.210, 0.288, 0.358, 0.434, 0.493, 0.586, 0.0, 0.85, 0.146, 0.200, 0.246, 0.314, 0.382, 0.456, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 } 
)

function eff2DMu_SUS_19_008 #

static const HEPUtils::BinnedFn2D< double > eff2DMu_SUS_19_008(
    {0., 0.9, 1.2, 2.1, 2.4, DBL_MAX} ,
    {0., 10., 15., 20., 25., 30., 40., 50., DBL_MAX} ,
    { 0.0, 0.527, 0.639, 0.723, 0.801, 0.858, 0.887, 0.926, 0.0, 0.482, 0.596, 0.695, 0.755, 0.831, 0.870, 0.917, 0.0, 0.498, 0.585, 0.683, 0.743, 0.807, 0.851, 0.896, 0.0, 0.441, 0.522, 0.604, 0.677, 0.744, 0.793, 0.834, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 } 
)

Attributes Documentation #

variable eff2DEl #

static const std::map< str, HEPUtils::BinnedFn2D< double > > eff2DEl =
      {
        {"SUS_16_039", eff2DEl_SUS_16_039},
        {"SUS_19_008", eff2DEl_SUS_19_008}
      };

variable eff2DMu #

static const std::map< str, HEPUtils::BinnedFn2D< double > > eff2DMu =
      {
        {"SUS_16_039", eff2DMu_SUS_16_039},
        {"SUS_19_008", eff2DMu_SUS_19_008}

      };

variable eff2DTau #

static const std::map< str, HEPUtils::BinnedFn2D< double > > eff2DTau =
      {
        {"SUS_16_039", eff2DTau_SUS_16_039}
      };

Updated on 2023-06-26 at 21:36:52 +0000