namespace Gambit::ColliderBit::ATLAS
ATLAS-specific efficiency and smearing functions for super fast detector simulation.
Functions
| Name | |
|---|---|
| const HEPUtils::BinnedFn2D< double > | eff2DEl_Generic({0, 1.5, 2.5, DBL_MAX} , {0, 10., DBL_MAX} , { 0., 0.95, 0., 0.85, 0., 0. } ) ATLAS Electron, Muon, Tau and Photon efficiencies for the WPs of the identification techniques used in SUSY analyses. |
| const HEPUtils::BinnedFn2D< double > | eff2DEl_ATLAS_CONF_2014_032_Medium({-2.5, -2.37, -2.01, -1.81, -1.52, -1.37, -1.15, -0.8, -0.6, -0.1, 0, 0.1, 0.6, 0.8, 1.15, 1.37, 1.52, 1.81, 2.01, 2.37, 2.5} , {0, 7., 10., 15., 20., 25., 30., 35., 40., 45., 50., 60., 80., DBL_MAX} , { 0.000, 0.887, 0.778, 0.827, 0.828, 0.842, 0.848, 0.839, 0.837, 0.807, 0.783, 0.775, 0.949, 0.000, 0.887, 0.778, 0.827, 0.790, 0.826, 0.838, 0.857, 0.870, 0.892, 0.892, 0.894, 0.927, 0.000, 0.736, 0.768, 0.794, 0.795, 0.831, 0.851, 0.868, 0.882, 0.896, 0.900, 0.903, 0.935, 0.000, 0.736, 0.768, 0.794, 0.778, 0.817, 0.840, 0.867, 0.896, 0.912, 0.917, 0.922, 0.946, 0.000, 0.675, 0.569, 0.695, 0.725, 0.756, 0.771, 0.799, 0.840, 0.874, 0.879, 0.893, 0.908, 0.000, 0.775, 0.773, 0.811, 0.802, 0.842, 0.874, 0.897, 0.909, 0.925, 0.927, 0.927, 0.950, 0.000, 0.775, 0.773, 0.811, 0.799, 0.837, 0.867, 0.889, 0.898, 0.911, 0.919, 0.921, 0.953, 0.000, 0.832, 0.782, 0.820, 0.814, 0.847, 0.877, 0.895, 0.908, 0.918, 0.919, 0.921, 0.950, 0.000, 0.832, 0.782, 0.820, 0.812, 0.850, 0.879, 0.897, 0.908, 0.918, 0.923, 0.928, 0.941, 0.000, 0.823, 0.736, 0.786, 0.805, 0.836, 0.870, 0.886, 0.899, 0.907, 0.909, 0.904, 0.936, 0.000, 0.823, 0.736, 0.786, 0.781, 0.826, 0.857, 0.868, 0.888, 0.895, 0.897, 0.893, 0.931, 0.000, 0.832, 0.782, 0.820, 0.821, 0.851, 0.878, 0.896, 0.908, 0.921, 0.923, 0.926, 0.945, 0.000, 0.832, 0.782, 0.820, 0.817, 0.850, 0.882, 0.901, 0.912, 0.925, 0.928, 0.927, 0.954, 0.000, 0.775, 0.773, 0.811, 0.795, 0.838, 0.867, 0.891, 0.902, 0.913, 0.919, 0.921, 0.949, 0.000, 0.775, 0.773, 0.811, 0.790, 0.842, 0.872, 0.895, 0.908, 0.920, 0.923, 0.928, 0.951, 0.000, 0.675, 0.569, 0.695, 0.770, 0.765, 0.776, 0.804, 0.842, 0.872, 0.884, 0.898, 0.914, 0.000, 0.736, 0.768, 0.794, 0.777, 0.815, 0.838, 0.864, 0.892, 0.906, 0.913, 0.920, 0.945, 0.000, 0.736, 0.768, 0.794, 0.796, 0.835, 0.851, 0.869, 0.884, 0.896, 0.902, 0.904, 0.924, 0.000, 0.887, 0.778, 0.827, 0.791, 0.823, 0.839, 0.858, 0.870, 0.888, 0.884, 0.889, 0.924, 0.000, 0.887, 0.778, 0.827, 0.823, 0.836, 0.831, 0.826, 0.817, 0.783, 0.759, 0.741, 0.944, } ) |
| const HEPUtils::BinnedFn2D< double > | eff2DEl_ATLAS_CONF_2014_032_Tight({-2.5, -2.37, -2.01, -1.81, -1.52, -1.37, -1.15, -0.8, -0.6, -0.1, 0, 0.1, 0.6, 0.8, 1.15, 1.37, 1.52, 1.81, 2.01, 2.37, 2.5} , {0, 7., 10., 15., 20., 25., 30., 35., 40., 45., 50., 60., 80., DBL_MAX} , { 0.000, 0.820, 0.687, 0.736, 0.679, 0.684, 0.694, 0.685, 0.694, 0.677, 0.665, 0.658, 0.857, 0.000, 0.820, 0.687, 0.736, 0.710, 0.741, 0.746, 0.759, 0.781, 0.808, 0.813, 0.812, 0.874, 0.000, 0.566, 0.644, 0.670, 0.655, 0.684, 0.715, 0.727, 0.759, 0.781, 0.796, 0.801, 0.858, 0.000, 0.566, 0.644, 0.670, 0.655, 0.696, 0.726, 0.752, 0.785, 0.807, 0.820, 0.834, 0.886, 0.000, 0.535, 0.455, 0.570, 0.603, 0.634, 0.659, 0.685, 0.730, 0.765, 0.784, 0.794, 0.839, 0.000, 0.608, 0.658, 0.702, 0.684, 0.721, 0.748, 0.773, 0.799, 0.817, 0.841, 0.845, 0.899, 0.000, 0.608, 0.658, 0.702, 0.696, 0.735, 0.772, 0.793, 0.803, 0.822, 0.842, 0.853, 0.903, 0.000, 0.712, 0.692, 0.733, 0.730, 0.762, 0.803, 0.822, 0.837, 0.850, 0.860, 0.868, 0.906, 0.000, 0.712, 0.692, 0.733, 0.734, 0.769, 0.803, 0.820, 0.809, 0.827, 0.845, 0.858, 0.887, 0.000, 0.619, 0.581, 0.642, 0.667, 0.698, 0.733, 0.749, 0.746, 0.762, 0.778, 0.779, 0.812, 0.000, 0.619, 0.581, 0.642, 0.641, 0.685, 0.716, 0.727, 0.734, 0.752, 0.766, 0.766, 0.816, 0.000, 0.712, 0.692, 0.733, 0.744, 0.773, 0.803, 0.821, 0.804, 0.823, 0.843, 0.856, 0.894, 0.000, 0.712, 0.692, 0.733, 0.735, 0.772, 0.812, 0.831, 0.844, 0.858, 0.878, 0.877, 0.911, 0.000, 0.608, 0.658, 0.702, 0.697, 0.737, 0.775, 0.798, 0.807, 0.826, 0.851, 0.855, 0.903, 0.000, 0.608, 0.658, 0.702, 0.672, 0.721, 0.749, 0.774, 0.798, 0.818, 0.842, 0.850, 0.892, 0.000, 0.535, 0.455, 0.570, 0.589, 0.639, 0.660, 0.693, 0.730, 0.766, 0.790, 0.801, 0.841, 0.000, 0.566, 0.644, 0.670, 0.661, 0.696, 0.725, 0.751, 0.780, 0.803, 0.817, 0.835, 0.888, 0.000, 0.566, 0.644, 0.670, 0.645, 0.688, 0.715, 0.733, 0.761, 0.782, 0.802, 0.804, 0.860, 0.000, 0.820, 0.687, 0.736, 0.709, 0.733, 0.746, 0.759, 0.781, 0.802, 0.805, 0.803, 0.876, 0.000, 0.820, 0.687, 0.736, 0.670, 0.678, 0.675, 0.669, 0.675, 0.652, 0.649, 0.627, 0.857, } ) |
| const HEPUtils::BinnedFn2D< double > | eff2DEl_ATLAS_PHYS_PUB_2015_041_Loose({0.0, 0.1, 0.8, 1.37, 1.52, 2.01, 2.37, 2.47, DBL_MAX} , {0, 10, 20, 25, 30, 35, 40, 45, 50, 60, 80, DBL_MAX} , Utils::outer_product(bineffs_eta_Loose, bineffs_et_Loose) ) |
| const HEPUtils::BinnedFn2D< double > | eff2DEl_ATLAS_PHYS_PUB_2015_041_Medium({0.0, 0.1, 0.8, 1.37, 1.52, 2.01, 2.37, 2.47, DBL_MAX} , {0, 10, 20, 25, 30, 35, 40, 45, 50, 60, 80, DBL_MAX} , Utils::outer_product(bineffs_eta_Medium, bineffs_et_Medium) ) |
| const HEPUtils::BinnedFn1D< double > | eff1DEl_PERF_2017_01_ID_VeryLoose({0.0, 6.668795911849248, 9.673354432217419, 14.643593391597225, 19.57318312476409, 24.71356813100665, 29.655352632037403, 34.594233616910074, 39.73636073284749, 44.68221015649952, 49.6292209866148, 59.52440405330856, 79.51859702099242, DBL_MAX} , {0.9054376657824932, 0.9267904509283819, 0.8757294429708221, 0.8450928381962863, 0.8775862068965516, 0.889655172413793, 0.9035809018567638, 0.9193633952254641, 0.929575596816976, 0.9370026525198938, 0.942572944297082, 0.9509283819628646, 0.9592838196286471} ) |
| const HEPUtils::BinnedFn1D< double > | eff1DEl_PERF_2017_01_ID_Loose({0.0, 6.668795911849248, 9.673354432217419, 14.643593391597225, 19.57318312476409, 24.71356813100665, 29.655352632037403, 34.594233616910074, 39.73636073284749, 44.68221015649952, 49.6292209866148, 59.52440405330856, 79.51859702099242, DBL_MAX} , {0.9054376657824932, 0.9267904509283819, 0.8757294429708221, 0.8450928381962863, 0.8775862068965516, 0.889655172413793, 0.9035809018567638, 0.9193633952254641, 0.929575596816976, 0.9370026525198938, 0.942572944297082, 0.9509283819628646, 0.9592838196286471} ) |
| const HEPUtils::BinnedFn1D< double > | eff1DEl_PERF_2017_01_ID_Medium({0.0, 6.668795911849248, 9.673354432217419, 14.643593391597225, 19.57318312476409, 24.71356813100665, 29.655352632037403, 34.594233616910074, 39.73636073284749, 44.68221015649952, 49.6292209866148, 59.52440405330856, 79.51859702099242, DBL_MAX} , { 0.7355437665782492, 0.7912466843501325, 0.7986737400530503, 0.7717506631299733, 0.8135278514588858, 0.8348806366047744, 0.8525198938992041, 0.8692307692307691, 0.8822281167108752, 0.889655172413793, 0.902652519893899, 0.9230769230769229, 0.9407161803713526 } ) |
| const HEPUtils::BinnedFn1D< double > | eff1DEl_PERF_2017_01_ID_Tight({0.0, 6.668795911849248, 9.673354432217419, 14.643593391597225, 19.57318312476409, 24.71356813100665, 29.655352632037403, 34.594233616910074, 39.73636073284749, 44.68221015649952, 49.6292209866148, 59.52440405330856, 79.51859702099242, DBL_MAX} , { 0.5572944297082227, 0.6213527851458884, 0.6547745358090185, 0.6714854111405835, 0.699336870026525, 0.7299734748010609, 0.7559681697612731, 0.7754641909814322, 0.7921750663129972, 0.8079575596816975, 0.8311671087533155, 0.8710875331564986, 0.8989389920424402 } ) |
| const HEPUtils::BinnedFn1D< double > | eff1DEl_PERF_2017_01_Iso_LooseTrackOnly({0.0, 6.548307897301772, 9.706735099256047, 14.643593391597225, 19.611982283197417, 24.561829913760132, 29.71154676569653, 34.461525174885566, 39.61370954807349, 44.56047277707178, 49.5109372879474, 59.60803424919497, 79.4086585320716, DBL_MAX} , {0.9694027334287603, 0.9841898810834618, 0.9915715839022242, 0.9890807366218896, 0.9875756991852016, 0.9875509249064084, 0.9875261506276152, 0.9879947974014535, 0.9884634441752919, 0.9884386698964986, 0.9888959617925568, 0.9907953231667035, 0.9930404921823388} ) |
| const HEPUtils::BinnedFn1D< double > | eff1DEl_PERF_2017_01_Iso_Loose({0.0, 6.548307897301772, 9.706735099256047, 14.643593391597225, 19.611982283197417, 24.561829913760132, 29.71154676569653, 34.461525174885566, 39.61370954807349, 44.56047277707178, 49.5109372879474, 59.60803424919497, 79.4086585320716, DBL_MAX} , {0.9595332801145123, 0.9812303870292888, 0.9891055109006828, 0.9875994412023784, 0.9856020149746753, 0.9826167143800926, 0.9820985190486677, 0.9820737447698745, 0.9820489704910813, 0.9825186495265361, 0.9829749091609778, 0.9903008698524555, 0.9930394599207224} ) |
| const HEPUtils::BinnedFn1D< double > | eff1DEl_PERF_2017_01_Iso_GradientLoose({0.0, 6.548307897301772, 9.706735099256047, 14.643593391597225, 19.611982283197417, 24.561829913760132, 29.71154676569653, 34.461525174885566, 39.61370954807349, 44.56047277707178, 49.5109372879474, 59.60803424919497, 79.4086585320716, DBL_MAX} , {0.8973632597445498, 0.9471843343977098, 0.9693676365338032, 0.9466465260955738, 0.947115172869412, 0.9485706617485136, 0.9539735190486678, 0.9593784408720547, 0.9642868448579609, 0.9706755120017618, 0.9780417308962784, 0.9843808494824929, 0.9851457553402335} ) |
| const HEPUtils::BinnedFn1D< double > | eff1DEl_PERF_2017_01_Iso_Gradient({0.0, 6.548307897301772, 9.706735099256047, 14.643593391597225, 19.611982283197417, 24.561829913760132, 29.71154676569653, 34.461525174885566, 39.61370954807349, 44.56047277707178, 49.5109372879474, 59.60803424919497, 79.4086585320716, DBL_MAX} , {0.8425935229024444, 0.9082030389781987, 0.944204195111209, 0.9007573359392205, 0.9081359419731337, 0.9145235768553183, 0.924368255890773, 0.9351987447698745, 0.9460292336489761, 0.9573531435807092, 0.9716251926888351, 0.9838874284298613, 0.9851457553402335} ) |
| const HEPUtils::BinnedFn1D< double > | eff1DEl_EGAM_2018_01_Recon({0.0, 0.5, 1.0, 1.5, 2.0, 2.5, 3.0, 3.5, 4.0, 4.5, 5.0, 5.5, 6.0, 6.5, 7.0, 7.5, 8.0, 8.5, 9.0, 9.5, 10.0, 10.5, 11.0, 11.5, 12.0, 12.5, 13.0, 13.5, 14.0, 14.5, 15.0, 15.5, 16.0, 16.5, 17.0, 17.5, 18.0, 18.5, 19.0, 19.5, 20.0, 20.5, 21.0, 21.5, 22.0, 22.5, 23.0, 23.5, 24.0, 24.5, DBL_MAX} , {0.0, 0.0, 0.0, 0.0, 0.003218, 0.049709, 0.203532, 0.388353, 0.546803, 0.662459, 0.749662, 0.807719, 0.850278, 0.875487, 0.893757, 0.907169, 0.919424, 0.926128, 0.932831, 0.936759, 0.940224, 0.944846, 0.947386, 0.949695, 0.951078, 0.953849, 0.955695, 0.956847, 0.958924, 0.959845, 0.962154, 0.96238, 0.96492, 0.966766, 0.966762, 0.967914, 0.967678, 0.970912, 0.970676, 0.97229, 0.972286, 0.97205, 0.973664, 0.97366, 0.973655, 0.973419, 0.975496, 0.976417, 0.977106, 0.976639} ) |
| const HEPUtils::BinnedFn1D< double > | eff1DEl_EGAM_2018_01_ID_Loose({4.5, 7.0, 10.0, 15.0, 20.0, 25.0, 30.0, 35.0, 40.0, 45.0, 50.0, 60.0, 80.0, DBL_MAX} , {0.976333, 0.928653, 0.882698, 0.830078, 0.86466, 0.884306, 0.901769, 0.920381, 0.930032, 0.936581, 0.938994, 0.943589, 0.949449} ) |
| const HEPUtils::BinnedFn1D< double > | eff1DEl_EGAM_2018_01_ID_Medium({4.5, 7.0, 10.0, 15.0, 20.0, 25.0, 30.0, 35.0, 40.0, 45.0, 50.0, 60.0, 80.0, DBL_MAX} , {0.790671, 0.797679, 0.816062, 0.752183, 0.794807, 0.82801, 0.847541, 0.868796, 0.882008, 0.887868, 0.897518, 0.916475, 0.93233} ) |
| const HEPUtils::BinnedFn1D< double > | eff1DEl_EGAM_2018_01_ID_Tight({4.5, 7.0, 10.0, 15.0, 20.0, 25.0, 30.0, 35.0, 40.0, 45.0, 50.0, 60.0, 80.0, DBL_MAX} , {0.582835, 0.608686, 0.670726, 0.651999, 0.684283, 0.716567, 0.747358, 0.768038, 0.782399, 0.795381, 0.815832, 0.853631, 0.884536} ) |
| const HEPUtils::BinnedFn1D< double > | eff1DEl_EGAM_2018_01_Iso_Gradient({4.5, 7.0, 10.0, 15.0, 20.0, 25.0, 30.0, 35.0, 40.0, 45.0, 50.0, 60.0, 80.0, 150.0, 200.0, 250.0, 300.0, 350.0, DBL_MAX} , {0.800008, 0.880847, 0.927209, 0.879823, 0.888724, 0.895806, 0.908012, 0.9198, 0.929307, 0.941235, 0.960432, 0.979162, 0.982515, 0.993515, 0.994261, 0.995376, 0.993139, 0.992581} ) |
| const HEPUtils::BinnedFn1D< double > | eff1DEl_EGAM_2018_01_Iso_Loose({4.5, 7.0, 10.0, 15.0, 20.0, 25.0, 30.0, 35.0, 40.0, 45.0, 50.0, 60.0, 80.0, 150.0, 200.0, 250.0, 300.0, 350.0, DBL_MAX} , {0.740555, 0.826427, 0.905545, 0.951997, 0.972965, 0.983728, 0.990392, 0.994352, 0.996819, 0.997565, 0.997844, 0.998311, 0.99859, 0.99859, 0.999057, 0.999105, 0.996589, 0.997614} ) |
| const HEPUtils::BinnedFn1D< double > | eff1DEl_EGAM_2018_01_Iso_Tight({4.5, 7.0, 10.0, 15.0, 20.0, 25.0, 30.0, 35.0, 40.0, 45.0, 50.0, 60.0, 80.0, 150.0, 200.0, 250.0, 300.0, 350.0, DBL_MAX} , {0.458893, 0.541276, 0.617828, 0.698061, 0.769957, 0.822, 0.862863, 0.895528, 0.924554, 0.940538, 0.95321, 0.970449, 0.985547, 0.992351, 0.993187, 0.993606, 0.991326, 0.991326} ) |
| const HEPUtils::BinnedFn1D< double > | eff1DEl_EGAM_2018_01_Iso_HighPtCaloOnly({4.5, 7.0, 10.0, 15.0, 20.0, 25.0, 30.0, 35.0, 40.0, 45.0, 50.0, 60.0, 80.0, 150.0, 200.0, 250.0, 300.0, 350.0, DBL_MAX} , {0.982097, 0.975105, 0.969703, 0.967933, 0.966908, 0.965137, 0.965416, 0.966859, 0.970449, 0.970358, 0.967138, 0.962014, 0.950973, 0.926185, 0.904053, 0.908291, 0.925906, 0.929168} ) |
| const HEPUtils::BinnedFn1D< double > | eff1DTau_R2(binedges_pt , bineffs_pt_avg ) |
| void | smearElectronEnergy(std::vector< HEPUtils::Particle * > & electrons) Randomly smear the supplied electrons’ momenta by parameterised resolutions. |
| void | smearMuonMomentum(std::vector< HEPUtils::Particle * > & muons) Randomly smear the supplied muons’ momenta by parameterised resolutions. |
| void | smearJets(std::vector< HEPUtils::Jet * > & jets) Randomly smear the supplied jets’ momenta by parameterised resolutions. |
| void | smearMET(HEPUtils::P4 & pmiss, double set) Randomly smear the MET vector by parameterised resolutions. |
| void | smearTaus(std::vector< HEPUtils::Particle * > & taus) Randomly smear the supplied taus’ momenta by parameterised resolutions. |
| const HEPUtils::BinnedFn1D< double > | eff1DMET_CERN_EP_2015_241({0, 30, 60, 70, 80, 90, 100, 110, 120, 130, 140, 150, 170, 190, 210, 230, 250, 300, 400, DBL_MAX} , {0.01, 0.01, 0.04, 0.07, 0.17, 0.30, 0.47, 0.63, 0.75, 0.85, 0.90, 0.95, 0.97, 0.98, 0.99, 0.98, 0.99, 1.00, 1.00} ) |
| const HEPUtils::BinnedFn2D< double > | eff2DMu_Generic({0, 1.5, 2.7, DBL_MAX} , {0, 10.0, DBL_MAX} , { 0., 0.95, 0., 0.85, 0., 0. } ) |
| const HEPUtils::BinnedFn2D< double > | eff2DMu_R2({0, 2.7, DBL_MAX} , {0., 3.5, 4., 5., 6., 7., 8., 10., DBL_MAX} , { 0.00, 0.76, 0.94, 0.97, 0.98, 0.98, 0.98, 0.99, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00 } ) |
| const HEPUtils::BinnedFn1D< double > | eff1DMu_MUON_2018_03_ID_Loose({3.0, 3.5, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0, 12.0, 14.0, 16.0, 18.0, 20.0, 100., DBL_MAX} , {0.87075, 0.93129, 0.97241, 0.98851, 0.99157, 0.98851, 0.98799, 0.98799, 0.98799, 0.98748, 0.98672, 0.98748, 0.98927, 0.99, 0.98} ) |
| const HEPUtils::BinnedFn1D< double > | eff1DMu_MUON_2018_03_ID_Medium({3.0, 3.5, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0, 12.0, 14.0, 16.0, 18.0, 20.0, 100., DBL_MAX} , {0.45262, 0.61328, 0.80766, 0.9387, 0.96245, 0.97063, 0.97165, 0.97216, 0.97292, 0.97292, 0.97216, 0.97114, 0.97522, 0.97, 0.97} ) |
| const HEPUtils::BinnedFn1D< double > | eff1DMu_MUON_2018_03_ID_Tight({3.0, 3.5, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0, 12.0, 14.0, 16.0, 18.0, 20.0, 100., DBL_MAX} , {0.0, 0.0, 0.66948, 0.8143, 0.85466, 0.87816, 0.89246, 0.90421, 0.91418, 0.91877, 0.92031, 0.92669, 0.93972, 0.93, 0.93} ) |
| const HEPUtils::BinnedFn1D< double > | eff1DMu_MUON_2018_03_Iso_Loose({3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0, 15.0, 20.0, 30.0, 40.0, 55.0, 70.0, 90.0, 150.0, DBL_MAX} , {0.655349, 0.725581, 0.765116, 0.788605, 0.82093, 0.851395, 0.877907, 0.92, 0.956279, 0.981163, 0.992558, 0.996744, 0.997442, 0.997442, 0.997674, 0.995116} ) |
| const HEPUtils::BinnedFn1D< double > | eff1DMu_MUON_2018_03_Iso_Tight({3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0, 15.0, 20.0, 30.0, 40.0, 55.0, 70.0, 90.0, 150.0, DBL_MAX} , {0.56788, 0.63355, 0.66702, 0.68974, 0.70173, 0.71814, 0.7314, 0.75917, 0.79262, 0.84313, 0.9189, 0.96941, 0.9915, 0.99653, 0.99649, 0.99517} ) |
| const HEPUtils::BinnedFn1D< double > | eff1DMu_ATLAS_PHYS_PUB_2020_002_Medium({-2.5, -2.4, -2.3, -2.2, -2.1, -2.0, -1.9, -1.8, -1.7, -1.6, -1.5, -1.4, -1.3, -1.2, -1.1, -1.0, -0.9, -0.8, -0.7, -0.6, -0.5, -0.4, -0.3, -0.2, -0.1, 0.0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1.0, 1.1, 1.2, 1.3, 1.4, 1.5, 1.6, 1.7, 1.8, 1.9, 2.0, 2.1, 2.2, 2.3, 2.4, 2.5} , {90.74, 94.48, 93.50, 95.47, 93.10, 92.91, 94.09, 93.69, 95.07, 91.33, 87.34, 76.55, 54.88, 56.26, 72.61, 71.82, 74.58, 73.99, 65.91, 69.85, 70.84, 73.00, 73.99, 69.06, 69.46, 68.67, 71.43, 74.38, 70.84, 70.44, 65.32, 64.93, 74.58, 75.76, 74.38, 73.20, 60.20, 55.86, 77.54, 87.19, 90.34, 94.48, 94.88, 95.07, 94.88, 95.07, 96.26, 96.26, 96.26, 93.89} ) |
| const HEPUtils::BinnedFn1D< double > | eff1DMu_ATLAS_PHYS_PUB_2020_002_LowPT({-2.5, -2.4, -2.3, -2.2, -2.1, -2.0, -1.9, -1.8, -1.7, -1.6, -1.5, -1.4, -1.3, -1.2, -1.1, -1.0, -0.9, -0.8, -0.7, -0.6, -0.5, -0.4, -0.3, -0.2, -0.1, 0.0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1.0, 1.1, 1.2, 1.3, 1.4, 1.5, 1.6, 1.7, 1.8, 1.9, 2.0, 2.1, 2.2, 2.3, 2.4, 2.5} , {87.59, 91.72, 90.94, 93.50, 90.34, 90.54, 91.92, 90.34, 91.92, 90.34, 89.75, 87.19, 83.05, 73.60, 86.01, 93.10, 91.92, 92.12, 85.62, 88.37, 90.15, 91.53, 92.12, 88.37, 72.41, 72.22, 88.18, 92.12, 92.12, 90.94, 86.80, 84.24, 91.33, 91.33, 93.89, 87.98, 75.96, 80.69, 86.80, 90.74, 89.56, 90.74, 92.51, 92.51, 91.92, 91.33, 94.68, 93.69, 94.09, 90.74} ) |
| const HEPUtils::BinnedFn1D< double > | eff1DTrack_ATLAS_SUSY_2018_16_isolated_track({0.0, 1.0, 1.5, 2.0, 2.5, 3.0, 3.5, 4.0, 4.5, 5.0, 6.0, 8.0, DBL_MAX} , {0.0, 0.00554, 0.036175, 0.393355, 0.7706, 0.429725, 0.362845, 0.337615, 0.28892, 0.241395, 0.202085, 0.} ) |
| const HEPUtils::BinnedFn1D< double > | eff1DMuon_ATLAS_SUSY_2018_16({3.0, 3.5, 4.0, 4.5, 5.0, 6.0, 8.0, 10.0, 12.0, 15.0, 20.0, 30.0, 50.0, 80.0, 120.0, DBL_MAX} , {0.51128, 0.64915, 0.68318, 0.712515, 0.72953, 0.7266, 0.77295, 0.773535, 0.77647, 0.813425, 0.85626, 0.90202, 0.927835, 0.93253, 1.} ) |
| const HEPUtils::BinnedFn1D< double > | eff1DElectron_ATLAS_SUSY_2018_16({4.5, 5.0, 6.0, 8.0, 10.0, 12.0, 15.0, 20.0, 30.0, 50.0, 80.0, 120.0, DBL_MAX} , {0.230245, 0.385725, 0.50248, 0.59107, 0.646805, 0.660885, 0.636245, 0.701955, 0.77471, 0.86154, 0.89029, 1.} ) |
| const HEPUtils::BinnedFn2D< double > | eff2DTrack_ATL_PHYS_PUB_2015_051_Tight_Primary({-2.5, -2.3, -2.1, -1.9, -1.7, -1.5, -1.3, -1.1, -0.9, -0.7, -0.5, -0.3, -0.1, 0.1, 0.3, 0.5, 0.7, 0.9, 1.1, 1.3, 1.5, 1.7, 1.9, 2.1, 2.3, 2.5} , {0, 0.5, 0.6, 0.7, 0.8, 0.9, 1.0, 1.1, 1.2, 1.3, 1.4, 1.5, 2, 2.5, 3.0, 3.5, 4.0, 5, DBL_MAX} , {0.63 *0.73, 0.63 *0.79, 0.63 *0.79, 0.63 *0.80, 0.63 *0.81, 0.63 *0.81, 0.63 *0.81, 0.63 *0.82, 0.63 *0.82, 0.63 *0.82, 0.63 *0.82, 0.63 *0.83, 0.63 *0.84, 0.63 *0.84, 0.63 *0.85, 0.63 *0.85, 0.63 *0.85, 0., 0.71 *0.73, 0.71 *0.79, 0.71 *0.79, 0.71 *0.80, 0.71 *0.81, 0.71 *0.81, 0.71 *0.81, 0.71 *0.82, 0.71 *0.82, 0.71 *0.82, 0.71 *0.82, 0.71 *0.83, 0.71 *0.84, 0.71 *0.84, 0.71 *0.85, 0.71 *0.85, 0.71 *0.85, 0., 0.70 *0.73, 0.70 *0.79, 0.70 *0.79, 0.70 *0.80, 0.70 *0.81, 0.70 *0.81, 0.70 *0.81, 0.70 *0.82, 0.70 *0.82, 0.70 *0.82, 0.70 *0.82, 0.70 *0.83, 0.70 *0.84, 0.70 *0.84, 0.70 *0.85, 0.70 *0.85, 0.70 *0.85, 0., 0.71 *0.73, 0.71 *0.79, 0.71 *0.79, 0.71 *0.80, 0.71 *0.81, 0.71 *0.81, 0.71 *0.81, 0.71 *0.82, 0.71 *0.82, 0.71 *0.82, 0.71 *0.82, 0.71 *0.83, 0.71 *0.84, 0.71 *0.84, 0.71 *0.85, 0.71 *0.85, 0.71 *0.85, 0., 0.75 *0.73, 0.75 *0.79, 0.75 *0.79, 0.75 *0.80, 0.75 *0.81, 0.75 *0.81, 0.75 *0.81, 0.75 *0.82, 0.75 *0.82, 0.75 *0.82, 0.75 *0.82, 0.75 *0.83, 0.75 *0.84, 0.75 *0.84, 0.75 *0.85, 0.75 *0.85, 0.75 *0.85, 0., 0.79 *0.73, 0.79 *0.79, 0.79 *0.79, 0.79 *0.80, 0.79 *0.81, 0.79 *0.81, 0.79 *0.81, 0.79 *0.82, 0.79 *0.82, 0.79 *0.82, 0.79 *0.82, 0.79 *0.83, 0.79 *0.84, 0.79 *0.84, 0.79 *0.85, 0.79 *0.85, 0.79 *0.85, 0., 0.82 *0.73, 0.82 *0.79, 0.82 *0.79, 0.82 *0.80, 0.82 *0.81, 0.82 *0.81, 0.82 *0.81, 0.82 *0.82, 0.82 *0.82, 0.82 *0.82, 0.82 *0.82, 0.82 *0.83, 0.82 *0.84, 0.82 *0.84, 0.82 *0.85, 0.82 *0.85, 0.82 *0.85, 0., 0.84 *0.73, 0.84 *0.79, 0.84 *0.79, 0.84 *0.80, 0.84 *0.81, 0.84 *0.81, 0.84 *0.81, 0.84 *0.82, 0.84 *0.82, 0.84 *0.82, 0.84 *0.82, 0.84 *0.83, 0.84 *0.84, 0.84 *0.84, 0.84 *0.85, 0.84 *0.85, 0.84 *0.85, 0., 0.86 *0.73, 0.86 *0.79, 0.86 *0.79, 0.86 *0.80, 0.86 *0.81, 0.86 *0.81, 0.86 *0.81, 0.86 *0.82, 0.86 *0.82, 0.86 *0.82, 0.86 *0.82, 0.86 *0.83, 0.86 *0.84, 0.86 *0.84, 0.86 *0.85, 0.86 *0.85, 0.86 *0.85, 0., 0.86 *0.73, 0.86 *0.79, 0.86 *0.79, 0.86 *0.80, 0.86 *0.81, 0.86 *0.81, 0.86 *0.81, 0.86 *0.82, 0.86 *0.82, 0.86 *0.82, 0.86 *0.82, 0.86 *0.83, 0.86 *0.84, 0.86 *0.84, 0.86 *0.85, 0.86 *0.85, 0.86 *0.85, 0., 0.87 *0.73, 0.87 *0.79, 0.87 *0.79, 0.87 *0.80, 0.87 *0.81, 0.87 *0.81, 0.87 *0.81, 0.87 *0.82, 0.87 *0.82, 0.87 *0.82, 0.87 *0.82, 0.87 *0.83, 0.87 *0.84, 0.87 *0.84, 0.87 *0.85, 0.87 *0.85, 0.87 *0.85, 0., 0.87 *0.73, 0.87 *0.79, 0.87 *0.79, 0.87 *0.80, 0.87 *0.81, 0.87 *0.81, 0.87 *0.81, 0.87 *0.82, 0.87 *0.82, 0.87 *0.82, 0.87 *0.82, 0.87 *0.83, 0.87 *0.84, 0.87 *0.84, 0.87 *0.85, 0.87 *0.85, 0.87 *0.85, 0., 0.87 *0.73, 0.87 *0.79, 0.87 *0.79, 0.87 *0.80, 0.87 *0.81, 0.87 *0.81, 0.87 *0.81, 0.87 *0.82, 0.87 *0.82, 0.87 *0.82, 0.87 *0.82, 0.87 *0.83, 0.87 *0.84, 0.87 *0.84, 0.87 *0.85, 0.87 *0.85, 0.87 *0.85, 0., 0.87 *0.73, 0.87 *0.79, 0.87 *0.79, 0.87 *0.80, 0.87 *0.81, 0.87 *0.81, 0.87 *0.81, 0.87 *0.82, 0.87 *0.82, 0.87 *0.82, 0.87 *0.82, 0.87 *0.83, 0.87 *0.84, 0.87 *0.84, 0.87 *0.85, 0.87 *0.85, 0.87 *0.85, 0., 0.87 *0.73, 0.87 *0.79, 0.87 *0.79, 0.87 *0.80, 0.87 *0.81, 0.87 *0.81, 0.87 *0.81, 0.87 *0.82, 0.87 *0.82, 0.87 *0.82, 0.87 *0.82, 0.87 *0.83, 0.87 *0.84, 0.87 *0.84, 0.87 *0.85, 0.87 *0.85, 0.87 *0.85, 0., 0.87 *0.73, 0.87 *0.79, 0.87 *0.79, 0.87 *0.80, 0.87 *0.81, 0.87 *0.81, 0.87 *0.81, 0.87 *0.82, 0.87 *0.82, 0.87 *0.82, 0.87 *0.82, 0.87 *0.83, 0.87 *0.84, 0.87 *0.84, 0.87 *0.85, 0.87 *0.85, 0.87 *0.85, 0., 0.86 *0.73, 0.86 *0.79, 0.86 *0.79, 0.86 *0.80, 0.86 *0.81, 0.86 *0.81, 0.86 *0.81, 0.86 *0.82, 0.86 *0.82, 0.86 *0.82, 0.86 *0.82, 0.86 *0.83, 0.86 *0.84, 0.86 *0.84, 0.86 *0.85, 0.86 *0.85, 0.86 *0.85, 0., 0.84 *0.73, 0.84 *0.79, 0.84 *0.79, 0.84 *0.80, 0.84 *0.81, 0.84 *0.81, 0.84 *0.81, 0.84 *0.82, 0.84 *0.82, 0.84 *0.82, 0.84 *0.82, 0.84 *0.83, 0.84 *0.84, 0.84 *0.84, 0.84 *0.85, 0.84 *0.85, 0.84 *0.85, 0., 0.82 *0.73, 0.82 *0.79, 0.82 *0.79, 0.82 *0.80, 0.82 *0.81, 0.82 *0.81, 0.82 *0.81, 0.82 *0.82, 0.82 *0.82, 0.82 *0.82, 0.82 *0.82, 0.82 *0.83, 0.82 *0.84, 0.82 *0.84, 0.82 *0.85, 0.82 *0.85, 0.82 *0.85, 0., 0.79 *0.73, 0.79 *0.79, 0.79 *0.79, 0.79 *0.80, 0.79 *0.81, 0.79 *0.81, 0.79 *0.81, 0.79 *0.82, 0.79 *0.82, 0.79 *0.82, 0.79 *0.82, 0.79 *0.83, 0.79 *0.84, 0.79 *0.84, 0.79 *0.85, 0.79 *0.85, 0.79 *0.85, 0., 0.76 *0.73, 0.76 *0.79, 0.76 *0.79, 0.76 *0.80, 0.76 *0.81, 0.76 *0.81, 0.76 *0.81, 0.76 *0.82, 0.76 *0.82, 0.76 *0.82, 0.76 *0.82, 0.76 *0.83, 0.76 *0.84, 0.76 *0.84, 0.76 *0.85, 0.76 *0.85, 0.76 *0.85, 0., 0.71 *0.73, 0.71 *0.79, 0.71 *0.79, 0.71 *0.80, 0.71 *0.81, 0.71 *0.81, 0.71 *0.81, 0.71 *0.82, 0.71 *0.82, 0.71 *0.82, 0.71 *0.82, 0.71 *0.83, 0.71 *0.84, 0.71 *0.84, 0.71 *0.85, 0.71 *0.85, 0.71 *0.85, 0., 0.71 *0.73, 0.71 *0.79, 0.71 *0.79, 0.71 *0.80, 0.71 *0.81, 0.71 *0.81, 0.71 *0.81, 0.71 *0.82, 0.71 *0.82, 0.71 *0.82, 0.71 *0.82, 0.71 *0.83, 0.71 *0.84, 0.71 *0.84, 0.71 *0.85, 0.71 *0.85, 0.71 *0.85, 0., 0.71 *0.73, 0.71 *0.79, 0.71 *0.79, 0.71 *0.80, 0.71 *0.81, 0.71 *0.81, 0.71 *0.81, 0.71 *0.82, 0.71 *0.82, 0.71 *0.82, 0.71 *0.82, 0.71 *0.83, 0.71 *0.84, 0.71 *0.84, 0.71 *0.85, 0.71 *0.85, 0.71 *0.85, 0., 0.63 *0.73, 0.63 *0.79, 0.63 *0.79, 0.63 *0.80, 0.63 *0.81, 0.63 *0.81, 0.63 *0.81, 0.63 *0.82, 0.63 *0.82, 0.63 *0.82, 0.63 *0.82, 0.63 *0.83, 0.63 *0.84, 0.63 *0.84, 0.63 *0.85, 0.63 *0.85, 0.63 *0.85, 0.} ) |
| const HEPUtils::BinnedFn2D< double > | eff2DTrack_ATL_PHYS_PUB_2015_051_Loose({-2.5, -2.3, -2.1, -1.9, -1.7, -1.5, -1.3, -1.1, -0.9, -0.7, -0.5, -0.3, -0.1, 0.1, 0.3, 0.5, 0.7, 0.9, 1.1, 1.3, 1.5, 1.7, 1.9, 2.1, 2.3, 2.5} , {0, 0.5, 0.6, 0.7, 0.8, 0.9, 1.0, 1.1, 1.2, 1.3, 1.4, 1.5, 2, 2.5, 3.0, 3.5, 4.0, 5, DBL_MAX} , {0.73 *0.78, 0.73 *0.84, 0.73 *0.85, 0.73 *0.86, 0.73 *0.86, 0.73 *0.86, 0.73 *0.87, 0.73 *0.87, 0.73 *0.87, 0.73 *0.87, 0.73 *0.88, 0.73 *0.88, 0.73 *0.88, 0.73 *0.89, 0.73 *0.89, 0.73 *0.89, 0.73 *0.90, 0., 0.79 *0.78, 0.79 *0.84, 0.79 *0.85, 0.79 *0.86, 0.79 *0.86, 0.79 *0.86, 0.79 *0.87, 0.79 *0.87, 0.79 *0.87, 0.79 *0.87, 0.79 *0.88, 0.79 *0.88, 0.79 *0.88, 0.79 *0.89, 0.79 *0.89, 0.79 *0.89, 0.79 *0.90, 0., 0.78 *0.78, 0.78 *0.84, 0.78 *0.85, 0.78 *0.86, 0.78 *0.86, 0.78 *0.86, 0.78 *0.87, 0.78 *0.87, 0.78 *0.87, 0.78 *0.87, 0.78 *0.88, 0.78 *0.88, 0.78 *0.88, 0.78 *0.89, 0.78 *0.89, 0.78 *0.89, 0.78 *0.90, 0., 0.78 *0.78, 0.78 *0.84, 0.78 *0.85, 0.78 *0.86, 0.78 *0.86, 0.78 *0.86, 0.78 *0.87, 0.78 *0.87, 0.78 *0.87, 0.78 *0.87, 0.78 *0.88, 0.78 *0.88, 0.78 *0.88, 0.78 *0.89, 0.78 *0.89, 0.78 *0.89, 0.78 *0.90, 0., 0.80 *0.78, 0.80 *0.84, 0.80 *0.85, 0.80 *0.86, 0.80 *0.86, 0.80 *0.86, 0.80 *0.87, 0.80 *0.87, 0.80 *0.87, 0.80 *0.87, 0.80 *0.88, 0.80 *0.88, 0.80 *0.88, 0.80 *0.89, 0.80 *0.89, 0.80 *0.89, 0.80 *0.90, 0., 0.84 *0.78, 0.84 *0.84, 0.84 *0.85, 0.84 *0.86, 0.84 *0.86, 0.84 *0.86, 0.84 *0.87, 0.84 *0.87, 0.84 *0.87, 0.84 *0.87, 0.84 *0.88, 0.84 *0.88, 0.84 *0.88, 0.84 *0.89, 0.84 *0.89, 0.84 *0.89, 0.84 *0.90, 0., 0.87 *0.78, 0.87 *0.84, 0.87 *0.85, 0.87 *0.86, 0.87 *0.86, 0.87 *0.86, 0.87 *0.87, 0.87 *0.87, 0.87 *0.87, 0.87 *0.87, 0.87 *0.88, 0.87 *0.88, 0.87 *0.88, 0.87 *0.89, 0.87 *0.89, 0.87 *0.89, 0.87 *0.90, 0., 0.88 *0.78, 0.88 *0.84, 0.88 *0.85, 0.88 *0.86, 0.88 *0.86, 0.88 *0.86, 0.88 *0.87, 0.88 *0.87, 0.88 *0.87, 0.88 *0.87, 0.88 *0.88, 0.88 *0.88, 0.88 *0.88, 0.88 *0.89, 0.88 *0.89, 0.88 *0.89, 0.88 *0.90, 0., 0.90 *0.78, 0.90 *0.84, 0.90 *0.85, 0.90 *0.86, 0.90 *0.86, 0.90 *0.86, 0.90 *0.87, 0.90 *0.87, 0.90 *0.87, 0.90 *0.87, 0.90 *0.88, 0.90 *0.88, 0.90 *0.88, 0.90 *0.89, 0.90 *0.89, 0.90 *0.89, 0.90 *0.90, 0., 0.90 *0.78, 0.90 *0.84, 0.90 *0.85, 0.90 *0.86, 0.90 *0.86, 0.90 *0.86, 0.90 *0.87, 0.90 *0.87, 0.90 *0.87, 0.90 *0.87, 0.90 *0.88, 0.90 *0.88, 0.90 *0.88, 0.90 *0.89, 0.90 *0.89, 0.90 *0.89, 0.90 *0.90, 0., 0.91 *0.78, 0.91 *0.84, 0.91 *0.85, 0.91 *0.86, 0.91 *0.86, 0.91 *0.86, 0.91 *0.87, 0.91 *0.87, 0.91 *0.87, 0.91 *0.87, 0.91 *0.88, 0.91 *0.88, 0.91 *0.88, 0.91 *0.89, 0.91 *0.89, 0.91 *0.89, 0.91 *0.90, 0., 0.91 *0.78, 0.91 *0.84, 0.91 *0.85, 0.91 *0.86, 0.91 *0.86, 0.91 *0.86, 0.91 *0.87, 0.91 *0.87, 0.91 *0.87, 0.91 *0.87, 0.91 *0.88, 0.91 *0.88, 0.91 *0.88, 0.91 *0.89, 0.91 *0.89, 0.91 *0.89, 0.91 *0.90, 0., 0.91 *0.78, 0.91 *0.84, 0.91 *0.85, 0.91 *0.86, 0.91 *0.86, 0.91 *0.86, 0.91 *0.87, 0.91 *0.87, 0.91 *0.87, 0.91 *0.87, 0.91 *0.88, 0.91 *0.88, 0.91 *0.88, 0.91 *0.89, 0.91 *0.89, 0.91 *0.89, 0.91 *0.90, 0., 0.91 *0.78, 0.91 *0.84, 0.91 *0.85, 0.91 *0.86, 0.91 *0.86, 0.91 *0.86, 0.91 *0.87, 0.91 *0.87, 0.91 *0.87, 0.91 *0.87, 0.91 *0.88, 0.91 *0.88, 0.91 *0.88, 0.91 *0.89, 0.91 *0.89, 0.91 *0.89, 0.91 *0.90, 0., 0.91 *0.78, 0.91 *0.84, 0.91 *0.85, 0.91 *0.86, 0.91 *0.86, 0.91 *0.86, 0.91 *0.87, 0.91 *0.87, 0.91 *0.87, 0.91 *0.87, 0.91 *0.88, 0.91 *0.88, 0.91 *0.88, 0.91 *0.89, 0.91 *0.89, 0.91 *0.89, 0.91 *0.90, 0., 0.90 *0.78, 0.90 *0.84, 0.90 *0.85, 0.90 *0.86, 0.90 *0.86, 0.90 *0.86, 0.90 *0.87, 0.90 *0.87, 0.90 *0.87, 0.90 *0.87, 0.90 *0.88, 0.90 *0.88, 0.90 *0.88, 0.90 *0.89, 0.90 *0.89, 0.90 *0.89, 0.90 *0.90, 0., 0.90 *0.78, 0.90 *0.84, 0.90 *0.85, 0.90 *0.86, 0.90 *0.86, 0.90 *0.86, 0.90 *0.87, 0.90 *0.87, 0.90 *0.87, 0.90 *0.87, 0.90 *0.88, 0.90 *0.88, 0.90 *0.88, 0.90 *0.89, 0.90 *0.89, 0.90 *0.89, 0.90 *0.90, 0., 0.88 *0.78, 0.88 *0.84, 0.88 *0.85, 0.88 *0.86, 0.88 *0.86, 0.88 *0.86, 0.88 *0.87, 0.88 *0.87, 0.88 *0.87, 0.88 *0.87, 0.88 *0.88, 0.88 *0.88, 0.88 *0.88, 0.88 *0.89, 0.88 *0.89, 0.88 *0.89, 0.88 *0.90, 0., 0.87 *0.78, 0.87 *0.84, 0.87 *0.85, 0.87 *0.86, 0.87 *0.86, 0.87 *0.86, 0.87 *0.87, 0.87 *0.87, 0.87 *0.87, 0.87 *0.87, 0.87 *0.88, 0.87 *0.88, 0.87 *0.88, 0.87 *0.89, 0.87 *0.89, 0.87 *0.89, 0.87 *0.90, 0., 0.84 *0.78, 0.84 *0.84, 0.84 *0.85, 0.84 *0.86, 0.84 *0.86, 0.84 *0.86, 0.84 *0.87, 0.84 *0.87, 0.84 *0.87, 0.84 *0.87, 0.84 *0.88, 0.84 *0.88, 0.84 *0.88, 0.84 *0.89, 0.84 *0.89, 0.84 *0.89, 0.84 *0.90, 0., 0.80 *0.78, 0.80 *0.84, 0.80 *0.85, 0.80 *0.86, 0.80 *0.86, 0.80 *0.86, 0.80 *0.87, 0.80 *0.87, 0.80 *0.87, 0.80 *0.87, 0.80 *0.88, 0.80 *0.88, 0.80 *0.88, 0.80 *0.89, 0.80 *0.89, 0.80 *0.89, 0.80 *0.90, 0., 0.78 *0.78, 0.78 *0.84, 0.78 *0.85, 0.78 *0.86, 0.78 *0.86, 0.78 *0.86, 0.78 *0.87, 0.78 *0.87, 0.78 *0.87, 0.78 *0.87, 0.78 *0.88, 0.78 *0.88, 0.78 *0.88, 0.78 *0.89, 0.78 *0.89, 0.78 *0.89, 0.78 *0.90, 0., 0.78 *0.78, 0.78 *0.84, 0.78 *0.85, 0.78 *0.86, 0.78 *0.86, 0.78 *0.86, 0.78 *0.87, 0.78 *0.87, 0.78 *0.87, 0.78 *0.87, 0.78 *0.88, 0.78 *0.88, 0.78 *0.88, 0.78 *0.89, 0.78 *0.89, 0.78 *0.89, 0.78 *0.90, 0., 0.79 *0.78, 0.79 *0.84, 0.79 *0.85, 0.79 *0.86, 0.79 *0.86, 0.79 *0.86, 0.79 *0.87, 0.79 *0.87, 0.79 *0.87, 0.79 *0.87, 0.79 *0.88, 0.79 *0.88, 0.79 *0.88, 0.79 *0.89, 0.79 *0.89, 0.79 *0.89, 0.79 *0.90, 0., 0.72 *0.78, 0.72 *0.84, 0.72 *0.85, 0.72 *0.86, 0.72 *0.86, 0.72 *0.86, 0.72 *0.87, 0.72 *0.87, 0.72 *0.87, 0.72 *0.87, 0.72 *0.88, 0.72 *0.88, 0.72 *0.88, 0.72 *0.89, 0.72 *0.89, 0.72 *0.89, 0.72 *0.90, 0.} ) |
| const HEPUtils::BinnedFn2D< double > | eff2DPhoton_R2({ 0., 0.6, 1.37, 1.52, 1.81, 2.37, DBL_MAX } , { 0., 10., 15., 20., 25., 30., 35., 40., 45., 50., 60., 80., 100., 125., 150., 175., 250., DBL_MAX } , { 0.00, 0.55, 0.70, 0.85, 0.89, 0.93, 0.95, 0.96, 0.96, 0.97, 0.97, 0.98, 0.97, 0.97, 0.97, 0.97, 0.97, 0.00, 0.47, 0.66, 0.79, 0.86, 0.89, 0.94, 0.96, 0.97, 0.97, 0.98, 0.97, 0.98, 0.98, 0.98, 0.98, 0.98, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.54, 0.71, 0.84, 0.88, 0.92, 0.93, 0.94, 0.95, 0.96, 0.96, 0.96, 0.96, 0.96, 0.96, 0.96, 0.96, 0.00, 0.61, 0.74, 0.83, 0.88, 0.91, 0.94, 0.95, 0.96, 0.97, 0.98, 0.98, 0.98, 0.98, 0.98, 0.98, 0.98, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00 } ) |
Attributes
| Name | |
|---|---|
| const std::vector< double > | bineffs_eta_Loose |
| const std::vector< double > | bineffs_et_Loose |
| const std::vector< double > | bineffs_eta_Medium |
| const std::vector< double > | bineffs_et_Medium |
| const double | effTau_R1 |
| const std::vector< double > | binedges_pt |
| const std::vector< double > | bineffs_pt_avg |
| const double | effTau_R2_RNN_Tight |
| const double | effTau_R2_RNN_Medium |
| const double | effTau_R2_RNN_Loose |
| const double | effTau_R2_RNN_VeryLoose |
| const efficiency_map< HEPUtils::BinnedFn1D< double > >({ {“CERN_EP_2015_241”, eff1DMET_CERN_EP_2015_241}, }) | eff1DMET |
| const efficiency_map< HEPUtils::BinnedFn1D< double > >({ {“PERF_2017_01_ID_VeryLoose”, eff1DEl_PERF_2017_01_ID_VeryLoose}, {“PERF_2017_01_ID_Loose”, eff1DEl_PERF_2017_01_ID_Loose}, {“PERF_2017_01_ID_Medium”, eff1DEl_PERF_2017_01_ID_Medium}, {“PERF_2017_01_ID_Tight”, eff1DEl_PERF_2017_01_ID_Tight}, {“PERF_2017_01_Iso_LooseTrackOnly”, eff1DEl_PERF_2017_01_Iso_LooseTrackOnly}, {“PERF_2017_01_Iso_Loose”, eff1DEl_PERF_2017_01_Iso_Loose}, {“PERF_2017_01_Iso_GradientLoose”, eff1DEl_PERF_2017_01_Iso_GradientLoose}, {“PERF_2017_01_Iso_Gradient”, eff1DEl_PERF_2017_01_Iso_Gradient}, {“EGAM_2018_01_Recon”, eff1DEl_EGAM_2018_01_Recon}, {“EGAM_2018_01_ID_Loose”, eff1DEl_EGAM_2018_01_ID_Loose}, {“EGAM_2018_01_ID_Medium”, eff1DEl_EGAM_2018_01_ID_Medium}, {“EGAM_2018_01_ID_Tight”, eff1DEl_EGAM_2018_01_ID_Tight}, {“EGAM_2018_01_Iso_Gradient”, eff1DEl_EGAM_2018_01_Iso_Gradient}, {“EGAM_2018_01_Iso_Loose”, eff1DEl_EGAM_2018_01_Iso_Loose}, {“EGAM_2018_01_Iso_Tight”, eff1DEl_EGAM_2018_01_Iso_Tight}, {“EGAM_2018_01_Iso_HighPtCaloOnly”, eff1DEl_EGAM_2018_01_Iso_HighPtCaloOnly}, {“ATLAS_SUSY_2018_16”, eff1DElectron_ATLAS_SUSY_2018_16} }) | eff1DEl |
| const efficiency_map< HEPUtils::BinnedFn2D< double > >({ {“Generic”, eff2DEl_Generic}, {“ATLAS_CONF_2014_032_Medium”, eff2DEl_ATLAS_CONF_2014_032_Medium}, {“ATLAS_CONF_2014_032_Tight”, eff2DEl_ATLAS_CONF_2014_032_Tight}, {“ATLAS_PHYS_PUB_2015_041_Loose”, eff2DEl_ATLAS_PHYS_PUB_2015_041_Loose}, {“ATLAS_PHYS_PUB_2015_041_Medium”, eff2DEl_ATLAS_PHYS_PUB_2015_041_Medium} }) | eff2DEl |
| const efficiency_map< HEPUtils::BinnedFn1D< double > >({ {“MUON_2018_03_Iso_Loose”, eff1DMu_MUON_2018_03_Iso_Loose}, {“MUON_2018_03_Iso_Tight”, eff1DMu_MUON_2018_03_Iso_Tight}, {“MUON_2018_03_ID_Loose”, eff1DMu_MUON_2018_03_ID_Loose}, {“MUON_2018_03_ID_Medium”, eff1DMu_MUON_2018_03_ID_Medium}, {“MUON_2018_03_ID_Tight”, eff1DMu_MUON_2018_03_ID_Tight}, {“ATLAS_PHYS_PUB_2020_002_Medium”, eff1DMu_ATLAS_PHYS_PUB_2020_002_Medium}, {“ATLAS_PHYS_PUB_2020_002_LowPT”, eff1DMu_ATLAS_PHYS_PUB_2020_002_LowPT}, {“ATLAS_SUSY_2018_16”, eff1DMuon_ATLAS_SUSY_2018_16} }) | eff1DMu |
| const efficiency_map< HEPUtils::BinnedFn2D< double > >({ {“Generic”, eff2DMu_Generic}, {“R2”, eff2DMu_R2} }) | eff2DMu |
| const efficiency_map< double >({ {“R1”, effTau_R1}, {“R2_RNN_Tight”, effTau_R2_RNN_Tight}, {“R2_RNN_Medium”, effTau_R2_RNN_Medium}, {“R2_RNN_Loose”, effTau_R2_RNN_Loose}, {“R2_RNN_VeryLoose”, effTau_R2_RNN_VeryLoose}, }) | effTau |
| const efficiency_map< HEPUtils::BinnedFn1D< double > >({ {“R2”, eff1DTau_R2}, }) | eff1DTau |
| const efficiency_map< HEPUtils::BinnedFn1D< double > >({ {“ATLAS_SUSY_2018_16_isolated_track”, eff1DTrack_ATLAS_SUSY_2018_16_isolated_track}, }) | eff1DTrack |
| const efficiency_map< HEPUtils::BinnedFn2D< double > >({ {“ATL_PHYS_PUB_2015_051_Tight_Primary”, eff2DTrack_ATL_PHYS_PUB_2015_051_Tight_Primary}, {“ATL_PHYS_PUB_2015_051_Loose”, eff2DTrack_ATL_PHYS_PUB_2015_051_Loose}, }) | eff2DTrack |
| const efficiency_map< HEPUtils::BinnedFn2D< double > >({ {“R2”, eff2DPhoton_R2}, }) | eff2DPhoton |
Functions Documentation
function eff2DEl_Generic
static const HEPUtils::BinnedFn2D< double > eff2DEl_Generic(
{0, 1.5, 2.5, DBL_MAX} ,
{0, 10., DBL_MAX} ,
{ 0., 0.95, 0., 0.85, 0., 0. }
)
ATLAS Electron, Muon, Tau and Photon efficiencies for the WPs of the identification techniques used in SUSY analyses.
Note: Should be applied after the electron energy smearing
Electron efficiencies Generic electron efficiency Randomly filter the supplied particle list by parameterised electron efficiency
function eff2DEl_ATLAS_CONF_2014_032_Medium
static const HEPUtils::BinnedFn2D< double > eff2DEl_ATLAS_CONF_2014_032_Medium(
{-2.5, -2.37, -2.01, -1.81, -1.52, -1.37, -1.15, -0.8, -0.6, -0.1, 0, 0.1, 0.6, 0.8, 1.15, 1.37, 1.52, 1.81, 2.01, 2.37, 2.5} ,
{0, 7., 10., 15., 20., 25., 30., 35., 40., 45., 50., 60., 80., DBL_MAX} ,
{ 0.000, 0.887, 0.778, 0.827, 0.828, 0.842, 0.848, 0.839, 0.837, 0.807, 0.783, 0.775, 0.949, 0.000, 0.887, 0.778, 0.827, 0.790, 0.826, 0.838, 0.857, 0.870, 0.892, 0.892, 0.894, 0.927, 0.000, 0.736, 0.768, 0.794, 0.795, 0.831, 0.851, 0.868, 0.882, 0.896, 0.900, 0.903, 0.935, 0.000, 0.736, 0.768, 0.794, 0.778, 0.817, 0.840, 0.867, 0.896, 0.912, 0.917, 0.922, 0.946, 0.000, 0.675, 0.569, 0.695, 0.725, 0.756, 0.771, 0.799, 0.840, 0.874, 0.879, 0.893, 0.908, 0.000, 0.775, 0.773, 0.811, 0.802, 0.842, 0.874, 0.897, 0.909, 0.925, 0.927, 0.927, 0.950, 0.000, 0.775, 0.773, 0.811, 0.799, 0.837, 0.867, 0.889, 0.898, 0.911, 0.919, 0.921, 0.953, 0.000, 0.832, 0.782, 0.820, 0.814, 0.847, 0.877, 0.895, 0.908, 0.918, 0.919, 0.921, 0.950, 0.000, 0.832, 0.782, 0.820, 0.812, 0.850, 0.879, 0.897, 0.908, 0.918, 0.923, 0.928, 0.941, 0.000, 0.823, 0.736, 0.786, 0.805, 0.836, 0.870, 0.886, 0.899, 0.907, 0.909, 0.904, 0.936, 0.000, 0.823, 0.736, 0.786, 0.781, 0.826, 0.857, 0.868, 0.888, 0.895, 0.897, 0.893, 0.931, 0.000, 0.832, 0.782, 0.820, 0.821, 0.851, 0.878, 0.896, 0.908, 0.921, 0.923, 0.926, 0.945, 0.000, 0.832, 0.782, 0.820, 0.817, 0.850, 0.882, 0.901, 0.912, 0.925, 0.928, 0.927, 0.954, 0.000, 0.775, 0.773, 0.811, 0.795, 0.838, 0.867, 0.891, 0.902, 0.913, 0.919, 0.921, 0.949, 0.000, 0.775, 0.773, 0.811, 0.790, 0.842, 0.872, 0.895, 0.908, 0.920, 0.923, 0.928, 0.951, 0.000, 0.675, 0.569, 0.695, 0.770, 0.765, 0.776, 0.804, 0.842, 0.872, 0.884, 0.898, 0.914, 0.000, 0.736, 0.768, 0.794, 0.777, 0.815, 0.838, 0.864, 0.892, 0.906, 0.913, 0.920, 0.945, 0.000, 0.736, 0.768, 0.794, 0.796, 0.835, 0.851, 0.869, 0.884, 0.896, 0.902, 0.904, 0.924, 0.000, 0.887, 0.778, 0.827, 0.791, 0.823, 0.839, 0.858, 0.870, 0.888, 0.884, 0.889, 0.924, 0.000, 0.887, 0.778, 0.827, 0.823, 0.836, 0.831, 0.826, 0.817, 0.783, 0.759, 0.741, 0.944, }
)
Note: Numbers digitised from 8 TeV note (ATLAS-CONF-2014-032) Digitized from Figs 11-12 Combined in 2D efficiency
Efficiency function for Medium ID electrons
function eff2DEl_ATLAS_CONF_2014_032_Tight
static const HEPUtils::BinnedFn2D< double > eff2DEl_ATLAS_CONF_2014_032_Tight(
{-2.5, -2.37, -2.01, -1.81, -1.52, -1.37, -1.15, -0.8, -0.6, -0.1, 0, 0.1, 0.6, 0.8, 1.15, 1.37, 1.52, 1.81, 2.01, 2.37, 2.5} ,
{0, 7., 10., 15., 20., 25., 30., 35., 40., 45., 50., 60., 80., DBL_MAX} ,
{ 0.000, 0.820, 0.687, 0.736, 0.679, 0.684, 0.694, 0.685, 0.694, 0.677, 0.665, 0.658, 0.857, 0.000, 0.820, 0.687, 0.736, 0.710, 0.741, 0.746, 0.759, 0.781, 0.808, 0.813, 0.812, 0.874, 0.000, 0.566, 0.644, 0.670, 0.655, 0.684, 0.715, 0.727, 0.759, 0.781, 0.796, 0.801, 0.858, 0.000, 0.566, 0.644, 0.670, 0.655, 0.696, 0.726, 0.752, 0.785, 0.807, 0.820, 0.834, 0.886, 0.000, 0.535, 0.455, 0.570, 0.603, 0.634, 0.659, 0.685, 0.730, 0.765, 0.784, 0.794, 0.839, 0.000, 0.608, 0.658, 0.702, 0.684, 0.721, 0.748, 0.773, 0.799, 0.817, 0.841, 0.845, 0.899, 0.000, 0.608, 0.658, 0.702, 0.696, 0.735, 0.772, 0.793, 0.803, 0.822, 0.842, 0.853, 0.903, 0.000, 0.712, 0.692, 0.733, 0.730, 0.762, 0.803, 0.822, 0.837, 0.850, 0.860, 0.868, 0.906, 0.000, 0.712, 0.692, 0.733, 0.734, 0.769, 0.803, 0.820, 0.809, 0.827, 0.845, 0.858, 0.887, 0.000, 0.619, 0.581, 0.642, 0.667, 0.698, 0.733, 0.749, 0.746, 0.762, 0.778, 0.779, 0.812, 0.000, 0.619, 0.581, 0.642, 0.641, 0.685, 0.716, 0.727, 0.734, 0.752, 0.766, 0.766, 0.816, 0.000, 0.712, 0.692, 0.733, 0.744, 0.773, 0.803, 0.821, 0.804, 0.823, 0.843, 0.856, 0.894, 0.000, 0.712, 0.692, 0.733, 0.735, 0.772, 0.812, 0.831, 0.844, 0.858, 0.878, 0.877, 0.911, 0.000, 0.608, 0.658, 0.702, 0.697, 0.737, 0.775, 0.798, 0.807, 0.826, 0.851, 0.855, 0.903, 0.000, 0.608, 0.658, 0.702, 0.672, 0.721, 0.749, 0.774, 0.798, 0.818, 0.842, 0.850, 0.892, 0.000, 0.535, 0.455, 0.570, 0.589, 0.639, 0.660, 0.693, 0.730, 0.766, 0.790, 0.801, 0.841, 0.000, 0.566, 0.644, 0.670, 0.661, 0.696, 0.725, 0.751, 0.780, 0.803, 0.817, 0.835, 0.888, 0.000, 0.566, 0.644, 0.670, 0.645, 0.688, 0.715, 0.733, 0.761, 0.782, 0.802, 0.804, 0.860, 0.000, 0.820, 0.687, 0.736, 0.709, 0.733, 0.746, 0.759, 0.781, 0.802, 0.805, 0.803, 0.876, 0.000, 0.820, 0.687, 0.736, 0.670, 0.678, 0.675, 0.669, 0.675, 0.652, 0.649, 0.627, 0.857, }
)
Note: Numbers digitised from 8 TeV note (ATLAS-CONF-2014-032) Digitized from Figs 11-12 Combined in 2D efficiency
Efficiency function for Tight ID electrons
function eff2DEl_ATLAS_PHYS_PUB_2015_041_Loose
static const HEPUtils::BinnedFn2D< double > eff2DEl_ATLAS_PHYS_PUB_2015_041_Loose(
{0.0, 0.1, 0.8, 1.37, 1.52, 2.01, 2.37, 2.47, DBL_MAX} ,
{0, 10, 20, 25, 30, 35, 40, 45, 50, 60, 80, DBL_MAX} ,
Utils::outer_product(bineffs_eta_Loose, bineffs_et_Loose)
)
function eff2DEl_ATLAS_PHYS_PUB_2015_041_Medium
static const HEPUtils::BinnedFn2D< double > eff2DEl_ATLAS_PHYS_PUB_2015_041_Medium(
{0.0, 0.1, 0.8, 1.37, 1.52, 2.01, 2.37, 2.47, DBL_MAX} ,
{0, 10, 20, 25, 30, 35, 40, 45, 50, 60, 80, DBL_MAX} ,
Utils::outer_product(bineffs_eta_Medium, bineffs_et_Medium)
)
function eff1DEl_PERF_2017_01_ID_VeryLoose
static const HEPUtils::BinnedFn1D< double > eff1DEl_PERF_2017_01_ID_VeryLoose(
{0.0, 6.668795911849248, 9.673354432217419, 14.643593391597225, 19.57318312476409, 24.71356813100665, 29.655352632037403, 34.594233616910074, 39.73636073284749, 44.68221015649952, 49.6292209866148, 59.52440405330856, 79.51859702099242, DBL_MAX} ,
{0.9054376657824932, 0.9267904509283819, 0.8757294429708221, 0.8450928381962863, 0.8775862068965516, 0.889655172413793, 0.9035809018567638, 0.9193633952254641, 0.929575596816976, 0.9370026525198938, 0.942572944297082, 0.9509283819628646, 0.9592838196286471}
)
Note: These efficiencies are 1D efficiencies so only pT is used Digitised from Fig 8
Electron 2019 ID efficiency functions from https://arxiv.org/pdf/1902.04655.pdf
function eff1DEl_PERF_2017_01_ID_Loose
static const HEPUtils::BinnedFn1D< double > eff1DEl_PERF_2017_01_ID_Loose(
{0.0, 6.668795911849248, 9.673354432217419, 14.643593391597225, 19.57318312476409, 24.71356813100665, 29.655352632037403, 34.594233616910074, 39.73636073284749, 44.68221015649952, 49.6292209866148, 59.52440405330856, 79.51859702099242, DBL_MAX} ,
{0.9054376657824932, 0.9267904509283819, 0.8757294429708221, 0.8450928381962863, 0.8775862068965516, 0.889655172413793, 0.9035809018567638, 0.9193633952254641, 0.929575596816976, 0.9370026525198938, 0.942572944297082, 0.9509283819628646, 0.9592838196286471}
)
function eff1DEl_PERF_2017_01_ID_Medium
static const HEPUtils::BinnedFn1D< double > eff1DEl_PERF_2017_01_ID_Medium(
{0.0, 6.668795911849248, 9.673354432217419, 14.643593391597225, 19.57318312476409, 24.71356813100665, 29.655352632037403, 34.594233616910074, 39.73636073284749, 44.68221015649952, 49.6292209866148, 59.52440405330856, 79.51859702099242, DBL_MAX} ,
{ 0.7355437665782492, 0.7912466843501325, 0.7986737400530503, 0.7717506631299733, 0.8135278514588858, 0.8348806366047744, 0.8525198938992041, 0.8692307692307691, 0.8822281167108752, 0.889655172413793, 0.902652519893899, 0.9230769230769229, 0.9407161803713526 }
)
function eff1DEl_PERF_2017_01_ID_Tight
static const HEPUtils::BinnedFn1D< double > eff1DEl_PERF_2017_01_ID_Tight(
{0.0, 6.668795911849248, 9.673354432217419, 14.643593391597225, 19.57318312476409, 24.71356813100665, 29.655352632037403, 34.594233616910074, 39.73636073284749, 44.68221015649952, 49.6292209866148, 59.52440405330856, 79.51859702099242, DBL_MAX} ,
{ 0.5572944297082227, 0.6213527851458884, 0.6547745358090185, 0.6714854111405835, 0.699336870026525, 0.7299734748010609, 0.7559681697612731, 0.7754641909814322, 0.7921750663129972, 0.8079575596816975, 0.8311671087533155, 0.8710875331564986, 0.8989389920424402 }
)
function eff1DEl_PERF_2017_01_Iso_LooseTrackOnly
static const HEPUtils::BinnedFn1D< double > eff1DEl_PERF_2017_01_Iso_LooseTrackOnly(
{0.0, 6.548307897301772, 9.706735099256047, 14.643593391597225, 19.611982283197417, 24.561829913760132, 29.71154676569653, 34.461525174885566, 39.61370954807349, 44.56047277707178, 49.5109372879474, 59.60803424919497, 79.4086585320716, DBL_MAX} ,
{0.9694027334287603, 0.9841898810834618, 0.9915715839022242, 0.9890807366218896, 0.9875756991852016, 0.9875509249064084, 0.9875261506276152, 0.9879947974014535, 0.9884634441752919, 0.9884386698964986, 0.9888959617925568, 0.9907953231667035, 0.9930404921823388}
)
Note: These efficiencies are 1D efficiencies so only pT is used Digitised from Fig 12
Electron 2019 Isolation efficiency functions from https://arxiv.org/pdf/1902.04655.pdf
function eff1DEl_PERF_2017_01_Iso_Loose
static const HEPUtils::BinnedFn1D< double > eff1DEl_PERF_2017_01_Iso_Loose(
{0.0, 6.548307897301772, 9.706735099256047, 14.643593391597225, 19.611982283197417, 24.561829913760132, 29.71154676569653, 34.461525174885566, 39.61370954807349, 44.56047277707178, 49.5109372879474, 59.60803424919497, 79.4086585320716, DBL_MAX} ,
{0.9595332801145123, 0.9812303870292888, 0.9891055109006828, 0.9875994412023784, 0.9856020149746753, 0.9826167143800926, 0.9820985190486677, 0.9820737447698745, 0.9820489704910813, 0.9825186495265361, 0.9829749091609778, 0.9903008698524555, 0.9930394599207224}
)
function eff1DEl_PERF_2017_01_Iso_GradientLoose
static const HEPUtils::BinnedFn1D< double > eff1DEl_PERF_2017_01_Iso_GradientLoose(
{0.0, 6.548307897301772, 9.706735099256047, 14.643593391597225, 19.611982283197417, 24.561829913760132, 29.71154676569653, 34.461525174885566, 39.61370954807349, 44.56047277707178, 49.5109372879474, 59.60803424919497, 79.4086585320716, DBL_MAX} ,
{0.8973632597445498, 0.9471843343977098, 0.9693676365338032, 0.9466465260955738, 0.947115172869412, 0.9485706617485136, 0.9539735190486678, 0.9593784408720547, 0.9642868448579609, 0.9706755120017618, 0.9780417308962784, 0.9843808494824929, 0.9851457553402335}
)
function eff1DEl_PERF_2017_01_Iso_Gradient
static const HEPUtils::BinnedFn1D< double > eff1DEl_PERF_2017_01_Iso_Gradient(
{0.0, 6.548307897301772, 9.706735099256047, 14.643593391597225, 19.611982283197417, 24.561829913760132, 29.71154676569653, 34.461525174885566, 39.61370954807349, 44.56047277707178, 49.5109372879474, 59.60803424919497, 79.4086585320716, DBL_MAX} ,
{0.8425935229024444, 0.9082030389781987, 0.944204195111209, 0.9007573359392205, 0.9081359419731337, 0.9145235768553183, 0.924368255890773, 0.9351987447698745, 0.9460292336489761, 0.9573531435807092, 0.9716251926888351, 0.9838874284298613, 0.9851457553402335}
)
function eff1DEl_EGAM_2018_01_Recon
static const HEPUtils::BinnedFn1D< double > eff1DEl_EGAM_2018_01_Recon(
{0.0, 0.5, 1.0, 1.5, 2.0, 2.5, 3.0, 3.5, 4.0, 4.5, 5.0, 5.5, 6.0, 6.5, 7.0, 7.5, 8.0, 8.5, 9.0, 9.5, 10.0, 10.5, 11.0, 11.5, 12.0, 12.5, 13.0, 13.5, 14.0, 14.5, 15.0, 15.5, 16.0, 16.5, 17.0, 17.5, 18.0, 18.5, 19.0, 19.5, 20.0, 20.5, 21.0, 21.5, 22.0, 22.5, 23.0, 23.5, 24.0, 24.5, DBL_MAX} ,
{0.0, 0.0, 0.0, 0.0, 0.003218, 0.049709, 0.203532, 0.388353, 0.546803, 0.662459, 0.749662, 0.807719, 0.850278, 0.875487, 0.893757, 0.907169, 0.919424, 0.926128, 0.932831, 0.936759, 0.940224, 0.944846, 0.947386, 0.949695, 0.951078, 0.953849, 0.955695, 0.956847, 0.958924, 0.959845, 0.962154, 0.96238, 0.96492, 0.966766, 0.966762, 0.967914, 0.967678, 0.970912, 0.970676, 0.97229, 0.972286, 0.97205, 0.973664, 0.97366, 0.973655, 0.973419, 0.975496, 0.976417, 0.977106, 0.976639}
)
Note: These efficiencies are 1D efficiencies so only dependence on p_T is used Digitised from Fig 5
Electron 2020 reconstruction efficiency functions in 1908.00005 using 81 fb^-1 of Run 2 data
function eff1DEl_EGAM_2018_01_ID_Loose
static const HEPUtils::BinnedFn1D< double > eff1DEl_EGAM_2018_01_ID_Loose(
{4.5, 7.0, 10.0, 15.0, 20.0, 25.0, 30.0, 35.0, 40.0, 45.0, 50.0, 60.0, 80.0, DBL_MAX} ,
{0.976333, 0.928653, 0.882698, 0.830078, 0.86466, 0.884306, 0.901769, 0.920381, 0.930032, 0.936581, 0.938994, 0.943589, 0.949449}
)
Note: These efficiencies are 1D efficiencies so only dependence on p_T is used Digitised from Fig 23a
Electron 2020 ID efficiency functions in 1908.00005 using 81 fb^-1 of Run 2 data
function eff1DEl_EGAM_2018_01_ID_Medium
static const HEPUtils::BinnedFn1D< double > eff1DEl_EGAM_2018_01_ID_Medium(
{4.5, 7.0, 10.0, 15.0, 20.0, 25.0, 30.0, 35.0, 40.0, 45.0, 50.0, 60.0, 80.0, DBL_MAX} ,
{0.790671, 0.797679, 0.816062, 0.752183, 0.794807, 0.82801, 0.847541, 0.868796, 0.882008, 0.887868, 0.897518, 0.916475, 0.93233}
)
function eff1DEl_EGAM_2018_01_ID_Tight
static const HEPUtils::BinnedFn1D< double > eff1DEl_EGAM_2018_01_ID_Tight(
{4.5, 7.0, 10.0, 15.0, 20.0, 25.0, 30.0, 35.0, 40.0, 45.0, 50.0, 60.0, 80.0, DBL_MAX} ,
{0.582835, 0.608686, 0.670726, 0.651999, 0.684283, 0.716567, 0.747358, 0.768038, 0.782399, 0.795381, 0.815832, 0.853631, 0.884536}
)
function eff1DEl_EGAM_2018_01_Iso_Gradient
static const HEPUtils::BinnedFn1D< double > eff1DEl_EGAM_2018_01_Iso_Gradient(
{4.5, 7.0, 10.0, 15.0, 20.0, 25.0, 30.0, 35.0, 40.0, 45.0, 50.0, 60.0, 80.0, 150.0, 200.0, 250.0, 300.0, 350.0, DBL_MAX} ,
{0.800008, 0.880847, 0.927209, 0.879823, 0.888724, 0.895806, 0.908012, 0.9198, 0.929307, 0.941235, 0.960432, 0.979162, 0.982515, 0.993515, 0.994261, 0.995376, 0.993139, 0.992581}
)
Note: These efficiencies are 1D efficiencies so only dependence on p_T is used Digitize from Fig 16
Electron 2020 isolation efficiency functions in 1908.00005 using 81 fb^-1 of Run 2 data, EGAM-2018-01
function eff1DEl_EGAM_2018_01_Iso_Loose
static const HEPUtils::BinnedFn1D< double > eff1DEl_EGAM_2018_01_Iso_Loose(
{4.5, 7.0, 10.0, 15.0, 20.0, 25.0, 30.0, 35.0, 40.0, 45.0, 50.0, 60.0, 80.0, 150.0, 200.0, 250.0, 300.0, 350.0, DBL_MAX} ,
{0.740555, 0.826427, 0.905545, 0.951997, 0.972965, 0.983728, 0.990392, 0.994352, 0.996819, 0.997565, 0.997844, 0.998311, 0.99859, 0.99859, 0.999057, 0.999105, 0.996589, 0.997614}
)
function eff1DEl_EGAM_2018_01_Iso_Tight
static const HEPUtils::BinnedFn1D< double > eff1DEl_EGAM_2018_01_Iso_Tight(
{4.5, 7.0, 10.0, 15.0, 20.0, 25.0, 30.0, 35.0, 40.0, 45.0, 50.0, 60.0, 80.0, 150.0, 200.0, 250.0, 300.0, 350.0, DBL_MAX} ,
{0.458893, 0.541276, 0.617828, 0.698061, 0.769957, 0.822, 0.862863, 0.895528, 0.924554, 0.940538, 0.95321, 0.970449, 0.985547, 0.992351, 0.993187, 0.993606, 0.991326, 0.991326}
)
function eff1DEl_EGAM_2018_01_Iso_HighPtCaloOnly
static const HEPUtils::BinnedFn1D< double > eff1DEl_EGAM_2018_01_Iso_HighPtCaloOnly(
{4.5, 7.0, 10.0, 15.0, 20.0, 25.0, 30.0, 35.0, 40.0, 45.0, 50.0, 60.0, 80.0, 150.0, 200.0, 250.0, 300.0, 350.0, DBL_MAX} ,
{0.982097, 0.975105, 0.969703, 0.967933, 0.966908, 0.965137, 0.965416, 0.966859, 0.970449, 0.970358, 0.967138, 0.962014, 0.950973, 0.926185, 0.904053, 0.908291, 0.925906, 0.929168}
)
function eff1DTau_R2
static const HEPUtils::BinnedFn1D< double > eff1DTau_R2(
binedges_pt ,
bineffs_pt_avg
)
function smearElectronEnergy
inline void smearElectronEnergy(
std::vector< HEPUtils::Particle * > & electrons
)
Randomly smear the supplied electrons’ momenta by parameterised resolutions.
function smearMuonMomentum
inline void smearMuonMomentum(
std::vector< HEPUtils::Particle * > & muons
)
Randomly smear the supplied muons’ momenta by parameterised resolutions.
function smearJets
inline void smearJets(
std::vector< HEPUtils::Jet * > & jets
)
Randomly smear the supplied jets’ momenta by parameterised resolutions.
TodoIs this the best way to smear? Should we preserve the mean jet energy, or pT, or direction?
function smearMET
inline void smearMET(
HEPUtils::P4 & pmiss,
double set
)
Randomly smear the MET vector by parameterised resolutions.
function smearTaus
inline void smearTaus(
std::vector< HEPUtils::Particle * > & taus
)
Randomly smear the supplied taus’ momenta by parameterised resolutions.
TodoIs this the best way to smear? Should we preserve the mean jet energy, or pT, or direction?
function eff1DMET_CERN_EP_2015_241
static const HEPUtils::BinnedFn1D< double > eff1DMET_CERN_EP_2015_241(
{0, 30, 60, 70, 80, 90, 100, 110, 120, 130, 140, 150, 170, 190, 210, 230, 250, 300, 400, DBL_MAX} ,
{0.01, 0.01, 0.04, 0.07, 0.17, 0.30, 0.47, 0.63, 0.75, 0.85, 0.90, 0.95, 0.97, 0.98, 0.99, 0.98, 0.99, 1.00, 1.00}
)
ATLAS trigger efficiencies MET trigger efficiency, from CERN-EP-2016-241 (1611.09661) Binned in MET
function eff2DMu_Generic
static const HEPUtils::BinnedFn2D< double > eff2DMu_Generic(
{0, 1.5, 2.7, DBL_MAX} ,
{0, 10.0, DBL_MAX} ,
{ 0., 0.95, 0., 0.85, 0., 0. }
)
Muon efficiencies Generic muon efficiency Randomly filter the supplied particle list by parameterised muon efficiency
function eff2DMu_R2
static const HEPUtils::BinnedFn2D< double > eff2DMu_R2(
{0, 2.7, DBL_MAX} ,
{0., 3.5, 4., 5., 6., 7., 8., 10., DBL_MAX} ,
{ 0.00, 0.76, 0.94, 0.97, 0.98, 0.98, 0.98, 0.99, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00 }
)
Generic R2 muon efficiency Randomly filter the supplied particle list by parameterised muon efficiency
function eff1DMu_MUON_2018_03_ID_Loose
static const HEPUtils::BinnedFn1D< double > eff1DMu_MUON_2018_03_ID_Loose(
{3.0, 3.5, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0, 12.0, 14.0, 16.0, 18.0, 20.0, 100., DBL_MAX} ,
{0.87075, 0.93129, 0.97241, 0.98851, 0.99157, 0.98851, 0.98799, 0.98799, 0.98799, 0.98748, 0.98672, 0.98748, 0.98927, 0.99, 0.98}
)
Note: These efficiencies are 1D efficiencies so only dependence on p_T is used Digitised from Fig 11a Additional 20-100; 100-inf bins taken from Table 1
Muon 2020 identification efficiency functions from full Run2 dataset released in 2012.00578, MUON-2018-03
function eff1DMu_MUON_2018_03_ID_Medium
static const HEPUtils::BinnedFn1D< double > eff1DMu_MUON_2018_03_ID_Medium(
{3.0, 3.5, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0, 12.0, 14.0, 16.0, 18.0, 20.0, 100., DBL_MAX} ,
{0.45262, 0.61328, 0.80766, 0.9387, 0.96245, 0.97063, 0.97165, 0.97216, 0.97292, 0.97292, 0.97216, 0.97114, 0.97522, 0.97, 0.97}
)
function eff1DMu_MUON_2018_03_ID_Tight
static const HEPUtils::BinnedFn1D< double > eff1DMu_MUON_2018_03_ID_Tight(
{3.0, 3.5, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0, 12.0, 14.0, 16.0, 18.0, 20.0, 100., DBL_MAX} ,
{0.0, 0.0, 0.66948, 0.8143, 0.85466, 0.87816, 0.89246, 0.90421, 0.91418, 0.91877, 0.92031, 0.92669, 0.93972, 0.93, 0.93}
)
function eff1DMu_MUON_2018_03_Iso_Loose
static const HEPUtils::BinnedFn1D< double > eff1DMu_MUON_2018_03_Iso_Loose(
{3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0, 15.0, 20.0, 30.0, 40.0, 55.0, 70.0, 90.0, 150.0, DBL_MAX} ,
{0.655349, 0.725581, 0.765116, 0.788605, 0.82093, 0.851395, 0.877907, 0.92, 0.956279, 0.981163, 0.992558, 0.996744, 0.997442, 0.997442, 0.997674, 0.995116}
)
Note: These efficiencies are 1D efficiencies so only real dependence on p_T is used Digitised from Fig 19a
Muon 2020 isolation efficiency functions from full Run2 dataset released in 2012.00578, MUON-2018-03
function eff1DMu_MUON_2018_03_Iso_Tight
static const HEPUtils::BinnedFn1D< double > eff1DMu_MUON_2018_03_Iso_Tight(
{3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0, 15.0, 20.0, 30.0, 40.0, 55.0, 70.0, 90.0, 150.0, DBL_MAX} ,
{0.56788, 0.63355, 0.66702, 0.68974, 0.70173, 0.71814, 0.7314, 0.75917, 0.79262, 0.84313, 0.9189, 0.96941, 0.9915, 0.99653, 0.99649, 0.99517}
)
function eff1DMu_ATLAS_PHYS_PUB_2020_002_Medium
static const HEPUtils::BinnedFn1D< double > eff1DMu_ATLAS_PHYS_PUB_2020_002_Medium(
{-2.5, -2.4, -2.3, -2.2, -2.1, -2.0, -1.9, -1.8, -1.7, -1.6, -1.5, -1.4, -1.3, -1.2, -1.1, -1.0, -0.9, -0.8, -0.7, -0.6, -0.5, -0.4, -0.3, -0.2, -0.1, 0.0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1.0, 1.1, 1.2, 1.3, 1.4, 1.5, 1.6, 1.7, 1.8, 1.9, 2.0, 2.1, 2.2, 2.3, 2.4, 2.5} ,
{90.74, 94.48, 93.50, 95.47, 93.10, 92.91, 94.09, 93.69, 95.07, 91.33, 87.34, 76.55, 54.88, 56.26, 72.61, 71.82, 74.58, 73.99, 65.91, 69.85, 70.84, 73.00, 73.99, 69.06, 69.46, 68.67, 71.43, 74.38, 70.84, 70.44, 65.32, 64.93, 74.58, 75.76, 74.38, 73.20, 60.20, 55.86, 77.54, 87.19, 90.34, 94.48, 94.88, 95.07, 94.88, 95.07, 96.26, 96.26, 96.26, 93.89}
)
Note: : These are efficiencies binned in eta, so make sure to use the correct function form (applyEfficiency(…,…,false)) Digitised from Fig 2a
Muon 2020 identification efficiencies for very low transverse momentum, from ATL-PHYS-PUB-2020-002
function eff1DMu_ATLAS_PHYS_PUB_2020_002_LowPT
static const HEPUtils::BinnedFn1D< double > eff1DMu_ATLAS_PHYS_PUB_2020_002_LowPT(
{-2.5, -2.4, -2.3, -2.2, -2.1, -2.0, -1.9, -1.8, -1.7, -1.6, -1.5, -1.4, -1.3, -1.2, -1.1, -1.0, -0.9, -0.8, -0.7, -0.6, -0.5, -0.4, -0.3, -0.2, -0.1, 0.0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1.0, 1.1, 1.2, 1.3, 1.4, 1.5, 1.6, 1.7, 1.8, 1.9, 2.0, 2.1, 2.2, 2.3, 2.4, 2.5} ,
{87.59, 91.72, 90.94, 93.50, 90.34, 90.54, 91.92, 90.34, 91.92, 90.34, 89.75, 87.19, 83.05, 73.60, 86.01, 93.10, 91.92, 92.12, 85.62, 88.37, 90.15, 91.53, 92.12, 88.37, 72.41, 72.22, 88.18, 92.12, 92.12, 90.94, 86.80, 84.24, 91.33, 91.33, 93.89, 87.98, 75.96, 80.69, 86.80, 90.74, 89.56, 90.74, 92.51, 92.51, 91.92, 91.33, 94.68, 93.69, 94.09, 90.74}
)
function eff1DTrack_ATLAS_SUSY_2018_16_isolated_track
static const HEPUtils::BinnedFn1D< double > eff1DTrack_ATLAS_SUSY_2018_16_isolated_track(
{0.0, 1.0, 1.5, 2.0, 2.5, 3.0, 3.5, 4.0, 4.5, 5.0, 6.0, 8.0, DBL_MAX} ,
{0.0, 0.00554, 0.036175, 0.393355, 0.7706, 0.429725, 0.362845, 0.337615, 0.28892, 0.241395, 0.202085, 0.}
)
Efficiencies from ATLAS_SUSY_2018_16 Digitised from Figure 3 This is specific to this search, and probably not used on other searches
function eff1DMuon_ATLAS_SUSY_2018_16
static const HEPUtils::BinnedFn1D< double > eff1DMuon_ATLAS_SUSY_2018_16(
{3.0, 3.5, 4.0, 4.5, 5.0, 6.0, 8.0, 10.0, 12.0, 15.0, 20.0, 30.0, 50.0, 80.0, 120.0, DBL_MAX} ,
{0.51128, 0.64915, 0.68318, 0.712515, 0.72953, 0.7266, 0.77295, 0.773535, 0.77647, 0.813425, 0.85626, 0.90202, 0.927835, 0.93253, 1.}
)
function eff1DElectron_ATLAS_SUSY_2018_16
static const HEPUtils::BinnedFn1D< double > eff1DElectron_ATLAS_SUSY_2018_16(
{4.5, 5.0, 6.0, 8.0, 10.0, 12.0, 15.0, 20.0, 30.0, 50.0, 80.0, 120.0, DBL_MAX} ,
{0.230245, 0.385725, 0.50248, 0.59107, 0.646805, 0.660885, 0.636245, 0.701955, 0.77471, 0.86154, 0.89029, 1.}
)
function eff2DTrack_ATL_PHYS_PUB_2015_051_Tight_Primary
static const HEPUtils::BinnedFn2D< double > eff2DTrack_ATL_PHYS_PUB_2015_051_Tight_Primary(
{-2.5, -2.3, -2.1, -1.9, -1.7, -1.5, -1.3, -1.1, -0.9, -0.7, -0.5, -0.3, -0.1, 0.1, 0.3, 0.5, 0.7, 0.9, 1.1, 1.3, 1.5, 1.7, 1.9, 2.1, 2.3, 2.5} ,
{0, 0.5, 0.6, 0.7, 0.8, 0.9, 1.0, 1.1, 1.2, 1.3, 1.4, 1.5, 2, 2.5, 3.0, 3.5, 4.0, 5, DBL_MAX} ,
{0.63 *0.73, 0.63 *0.79, 0.63 *0.79, 0.63 *0.80, 0.63 *0.81, 0.63 *0.81, 0.63 *0.81, 0.63 *0.82, 0.63 *0.82, 0.63 *0.82, 0.63 *0.82, 0.63 *0.83, 0.63 *0.84, 0.63 *0.84, 0.63 *0.85, 0.63 *0.85, 0.63 *0.85, 0., 0.71 *0.73, 0.71 *0.79, 0.71 *0.79, 0.71 *0.80, 0.71 *0.81, 0.71 *0.81, 0.71 *0.81, 0.71 *0.82, 0.71 *0.82, 0.71 *0.82, 0.71 *0.82, 0.71 *0.83, 0.71 *0.84, 0.71 *0.84, 0.71 *0.85, 0.71 *0.85, 0.71 *0.85, 0., 0.70 *0.73, 0.70 *0.79, 0.70 *0.79, 0.70 *0.80, 0.70 *0.81, 0.70 *0.81, 0.70 *0.81, 0.70 *0.82, 0.70 *0.82, 0.70 *0.82, 0.70 *0.82, 0.70 *0.83, 0.70 *0.84, 0.70 *0.84, 0.70 *0.85, 0.70 *0.85, 0.70 *0.85, 0., 0.71 *0.73, 0.71 *0.79, 0.71 *0.79, 0.71 *0.80, 0.71 *0.81, 0.71 *0.81, 0.71 *0.81, 0.71 *0.82, 0.71 *0.82, 0.71 *0.82, 0.71 *0.82, 0.71 *0.83, 0.71 *0.84, 0.71 *0.84, 0.71 *0.85, 0.71 *0.85, 0.71 *0.85, 0., 0.75 *0.73, 0.75 *0.79, 0.75 *0.79, 0.75 *0.80, 0.75 *0.81, 0.75 *0.81, 0.75 *0.81, 0.75 *0.82, 0.75 *0.82, 0.75 *0.82, 0.75 *0.82, 0.75 *0.83, 0.75 *0.84, 0.75 *0.84, 0.75 *0.85, 0.75 *0.85, 0.75 *0.85, 0., 0.79 *0.73, 0.79 *0.79, 0.79 *0.79, 0.79 *0.80, 0.79 *0.81, 0.79 *0.81, 0.79 *0.81, 0.79 *0.82, 0.79 *0.82, 0.79 *0.82, 0.79 *0.82, 0.79 *0.83, 0.79 *0.84, 0.79 *0.84, 0.79 *0.85, 0.79 *0.85, 0.79 *0.85, 0., 0.82 *0.73, 0.82 *0.79, 0.82 *0.79, 0.82 *0.80, 0.82 *0.81, 0.82 *0.81, 0.82 *0.81, 0.82 *0.82, 0.82 *0.82, 0.82 *0.82, 0.82 *0.82, 0.82 *0.83, 0.82 *0.84, 0.82 *0.84, 0.82 *0.85, 0.82 *0.85, 0.82 *0.85, 0., 0.84 *0.73, 0.84 *0.79, 0.84 *0.79, 0.84 *0.80, 0.84 *0.81, 0.84 *0.81, 0.84 *0.81, 0.84 *0.82, 0.84 *0.82, 0.84 *0.82, 0.84 *0.82, 0.84 *0.83, 0.84 *0.84, 0.84 *0.84, 0.84 *0.85, 0.84 *0.85, 0.84 *0.85, 0., 0.86 *0.73, 0.86 *0.79, 0.86 *0.79, 0.86 *0.80, 0.86 *0.81, 0.86 *0.81, 0.86 *0.81, 0.86 *0.82, 0.86 *0.82, 0.86 *0.82, 0.86 *0.82, 0.86 *0.83, 0.86 *0.84, 0.86 *0.84, 0.86 *0.85, 0.86 *0.85, 0.86 *0.85, 0., 0.86 *0.73, 0.86 *0.79, 0.86 *0.79, 0.86 *0.80, 0.86 *0.81, 0.86 *0.81, 0.86 *0.81, 0.86 *0.82, 0.86 *0.82, 0.86 *0.82, 0.86 *0.82, 0.86 *0.83, 0.86 *0.84, 0.86 *0.84, 0.86 *0.85, 0.86 *0.85, 0.86 *0.85, 0., 0.87 *0.73, 0.87 *0.79, 0.87 *0.79, 0.87 *0.80, 0.87 *0.81, 0.87 *0.81, 0.87 *0.81, 0.87 *0.82, 0.87 *0.82, 0.87 *0.82, 0.87 *0.82, 0.87 *0.83, 0.87 *0.84, 0.87 *0.84, 0.87 *0.85, 0.87 *0.85, 0.87 *0.85, 0., 0.87 *0.73, 0.87 *0.79, 0.87 *0.79, 0.87 *0.80, 0.87 *0.81, 0.87 *0.81, 0.87 *0.81, 0.87 *0.82, 0.87 *0.82, 0.87 *0.82, 0.87 *0.82, 0.87 *0.83, 0.87 *0.84, 0.87 *0.84, 0.87 *0.85, 0.87 *0.85, 0.87 *0.85, 0., 0.87 *0.73, 0.87 *0.79, 0.87 *0.79, 0.87 *0.80, 0.87 *0.81, 0.87 *0.81, 0.87 *0.81, 0.87 *0.82, 0.87 *0.82, 0.87 *0.82, 0.87 *0.82, 0.87 *0.83, 0.87 *0.84, 0.87 *0.84, 0.87 *0.85, 0.87 *0.85, 0.87 *0.85, 0., 0.87 *0.73, 0.87 *0.79, 0.87 *0.79, 0.87 *0.80, 0.87 *0.81, 0.87 *0.81, 0.87 *0.81, 0.87 *0.82, 0.87 *0.82, 0.87 *0.82, 0.87 *0.82, 0.87 *0.83, 0.87 *0.84, 0.87 *0.84, 0.87 *0.85, 0.87 *0.85, 0.87 *0.85, 0., 0.87 *0.73, 0.87 *0.79, 0.87 *0.79, 0.87 *0.80, 0.87 *0.81, 0.87 *0.81, 0.87 *0.81, 0.87 *0.82, 0.87 *0.82, 0.87 *0.82, 0.87 *0.82, 0.87 *0.83, 0.87 *0.84, 0.87 *0.84, 0.87 *0.85, 0.87 *0.85, 0.87 *0.85, 0., 0.87 *0.73, 0.87 *0.79, 0.87 *0.79, 0.87 *0.80, 0.87 *0.81, 0.87 *0.81, 0.87 *0.81, 0.87 *0.82, 0.87 *0.82, 0.87 *0.82, 0.87 *0.82, 0.87 *0.83, 0.87 *0.84, 0.87 *0.84, 0.87 *0.85, 0.87 *0.85, 0.87 *0.85, 0., 0.86 *0.73, 0.86 *0.79, 0.86 *0.79, 0.86 *0.80, 0.86 *0.81, 0.86 *0.81, 0.86 *0.81, 0.86 *0.82, 0.86 *0.82, 0.86 *0.82, 0.86 *0.82, 0.86 *0.83, 0.86 *0.84, 0.86 *0.84, 0.86 *0.85, 0.86 *0.85, 0.86 *0.85, 0., 0.84 *0.73, 0.84 *0.79, 0.84 *0.79, 0.84 *0.80, 0.84 *0.81, 0.84 *0.81, 0.84 *0.81, 0.84 *0.82, 0.84 *0.82, 0.84 *0.82, 0.84 *0.82, 0.84 *0.83, 0.84 *0.84, 0.84 *0.84, 0.84 *0.85, 0.84 *0.85, 0.84 *0.85, 0., 0.82 *0.73, 0.82 *0.79, 0.82 *0.79, 0.82 *0.80, 0.82 *0.81, 0.82 *0.81, 0.82 *0.81, 0.82 *0.82, 0.82 *0.82, 0.82 *0.82, 0.82 *0.82, 0.82 *0.83, 0.82 *0.84, 0.82 *0.84, 0.82 *0.85, 0.82 *0.85, 0.82 *0.85, 0., 0.79 *0.73, 0.79 *0.79, 0.79 *0.79, 0.79 *0.80, 0.79 *0.81, 0.79 *0.81, 0.79 *0.81, 0.79 *0.82, 0.79 *0.82, 0.79 *0.82, 0.79 *0.82, 0.79 *0.83, 0.79 *0.84, 0.79 *0.84, 0.79 *0.85, 0.79 *0.85, 0.79 *0.85, 0., 0.76 *0.73, 0.76 *0.79, 0.76 *0.79, 0.76 *0.80, 0.76 *0.81, 0.76 *0.81, 0.76 *0.81, 0.76 *0.82, 0.76 *0.82, 0.76 *0.82, 0.76 *0.82, 0.76 *0.83, 0.76 *0.84, 0.76 *0.84, 0.76 *0.85, 0.76 *0.85, 0.76 *0.85, 0., 0.71 *0.73, 0.71 *0.79, 0.71 *0.79, 0.71 *0.80, 0.71 *0.81, 0.71 *0.81, 0.71 *0.81, 0.71 *0.82, 0.71 *0.82, 0.71 *0.82, 0.71 *0.82, 0.71 *0.83, 0.71 *0.84, 0.71 *0.84, 0.71 *0.85, 0.71 *0.85, 0.71 *0.85, 0., 0.71 *0.73, 0.71 *0.79, 0.71 *0.79, 0.71 *0.80, 0.71 *0.81, 0.71 *0.81, 0.71 *0.81, 0.71 *0.82, 0.71 *0.82, 0.71 *0.82, 0.71 *0.82, 0.71 *0.83, 0.71 *0.84, 0.71 *0.84, 0.71 *0.85, 0.71 *0.85, 0.71 *0.85, 0., 0.71 *0.73, 0.71 *0.79, 0.71 *0.79, 0.71 *0.80, 0.71 *0.81, 0.71 *0.81, 0.71 *0.81, 0.71 *0.82, 0.71 *0.82, 0.71 *0.82, 0.71 *0.82, 0.71 *0.83, 0.71 *0.84, 0.71 *0.84, 0.71 *0.85, 0.71 *0.85, 0.71 *0.85, 0., 0.63 *0.73, 0.63 *0.79, 0.63 *0.79, 0.63 *0.80, 0.63 *0.81, 0.63 *0.81, 0.63 *0.81, 0.63 *0.82, 0.63 *0.82, 0.63 *0.82, 0.63 *0.82, 0.63 *0.83, 0.63 *0.84, 0.63 *0.84, 0.63 *0.85, 0.63 *0.85, 0.63 *0.85, 0.}
)
Track efficiencies from ATL-PHYS-PUB-2015-051 Digitised and made 2d from figs 1a and 1b
function eff2DTrack_ATL_PHYS_PUB_2015_051_Loose
static const HEPUtils::BinnedFn2D< double > eff2DTrack_ATL_PHYS_PUB_2015_051_Loose(
{-2.5, -2.3, -2.1, -1.9, -1.7, -1.5, -1.3, -1.1, -0.9, -0.7, -0.5, -0.3, -0.1, 0.1, 0.3, 0.5, 0.7, 0.9, 1.1, 1.3, 1.5, 1.7, 1.9, 2.1, 2.3, 2.5} ,
{0, 0.5, 0.6, 0.7, 0.8, 0.9, 1.0, 1.1, 1.2, 1.3, 1.4, 1.5, 2, 2.5, 3.0, 3.5, 4.0, 5, DBL_MAX} ,
{0.73 *0.78, 0.73 *0.84, 0.73 *0.85, 0.73 *0.86, 0.73 *0.86, 0.73 *0.86, 0.73 *0.87, 0.73 *0.87, 0.73 *0.87, 0.73 *0.87, 0.73 *0.88, 0.73 *0.88, 0.73 *0.88, 0.73 *0.89, 0.73 *0.89, 0.73 *0.89, 0.73 *0.90, 0., 0.79 *0.78, 0.79 *0.84, 0.79 *0.85, 0.79 *0.86, 0.79 *0.86, 0.79 *0.86, 0.79 *0.87, 0.79 *0.87, 0.79 *0.87, 0.79 *0.87, 0.79 *0.88, 0.79 *0.88, 0.79 *0.88, 0.79 *0.89, 0.79 *0.89, 0.79 *0.89, 0.79 *0.90, 0., 0.78 *0.78, 0.78 *0.84, 0.78 *0.85, 0.78 *0.86, 0.78 *0.86, 0.78 *0.86, 0.78 *0.87, 0.78 *0.87, 0.78 *0.87, 0.78 *0.87, 0.78 *0.88, 0.78 *0.88, 0.78 *0.88, 0.78 *0.89, 0.78 *0.89, 0.78 *0.89, 0.78 *0.90, 0., 0.78 *0.78, 0.78 *0.84, 0.78 *0.85, 0.78 *0.86, 0.78 *0.86, 0.78 *0.86, 0.78 *0.87, 0.78 *0.87, 0.78 *0.87, 0.78 *0.87, 0.78 *0.88, 0.78 *0.88, 0.78 *0.88, 0.78 *0.89, 0.78 *0.89, 0.78 *0.89, 0.78 *0.90, 0., 0.80 *0.78, 0.80 *0.84, 0.80 *0.85, 0.80 *0.86, 0.80 *0.86, 0.80 *0.86, 0.80 *0.87, 0.80 *0.87, 0.80 *0.87, 0.80 *0.87, 0.80 *0.88, 0.80 *0.88, 0.80 *0.88, 0.80 *0.89, 0.80 *0.89, 0.80 *0.89, 0.80 *0.90, 0., 0.84 *0.78, 0.84 *0.84, 0.84 *0.85, 0.84 *0.86, 0.84 *0.86, 0.84 *0.86, 0.84 *0.87, 0.84 *0.87, 0.84 *0.87, 0.84 *0.87, 0.84 *0.88, 0.84 *0.88, 0.84 *0.88, 0.84 *0.89, 0.84 *0.89, 0.84 *0.89, 0.84 *0.90, 0., 0.87 *0.78, 0.87 *0.84, 0.87 *0.85, 0.87 *0.86, 0.87 *0.86, 0.87 *0.86, 0.87 *0.87, 0.87 *0.87, 0.87 *0.87, 0.87 *0.87, 0.87 *0.88, 0.87 *0.88, 0.87 *0.88, 0.87 *0.89, 0.87 *0.89, 0.87 *0.89, 0.87 *0.90, 0., 0.88 *0.78, 0.88 *0.84, 0.88 *0.85, 0.88 *0.86, 0.88 *0.86, 0.88 *0.86, 0.88 *0.87, 0.88 *0.87, 0.88 *0.87, 0.88 *0.87, 0.88 *0.88, 0.88 *0.88, 0.88 *0.88, 0.88 *0.89, 0.88 *0.89, 0.88 *0.89, 0.88 *0.90, 0., 0.90 *0.78, 0.90 *0.84, 0.90 *0.85, 0.90 *0.86, 0.90 *0.86, 0.90 *0.86, 0.90 *0.87, 0.90 *0.87, 0.90 *0.87, 0.90 *0.87, 0.90 *0.88, 0.90 *0.88, 0.90 *0.88, 0.90 *0.89, 0.90 *0.89, 0.90 *0.89, 0.90 *0.90, 0., 0.90 *0.78, 0.90 *0.84, 0.90 *0.85, 0.90 *0.86, 0.90 *0.86, 0.90 *0.86, 0.90 *0.87, 0.90 *0.87, 0.90 *0.87, 0.90 *0.87, 0.90 *0.88, 0.90 *0.88, 0.90 *0.88, 0.90 *0.89, 0.90 *0.89, 0.90 *0.89, 0.90 *0.90, 0., 0.91 *0.78, 0.91 *0.84, 0.91 *0.85, 0.91 *0.86, 0.91 *0.86, 0.91 *0.86, 0.91 *0.87, 0.91 *0.87, 0.91 *0.87, 0.91 *0.87, 0.91 *0.88, 0.91 *0.88, 0.91 *0.88, 0.91 *0.89, 0.91 *0.89, 0.91 *0.89, 0.91 *0.90, 0., 0.91 *0.78, 0.91 *0.84, 0.91 *0.85, 0.91 *0.86, 0.91 *0.86, 0.91 *0.86, 0.91 *0.87, 0.91 *0.87, 0.91 *0.87, 0.91 *0.87, 0.91 *0.88, 0.91 *0.88, 0.91 *0.88, 0.91 *0.89, 0.91 *0.89, 0.91 *0.89, 0.91 *0.90, 0., 0.91 *0.78, 0.91 *0.84, 0.91 *0.85, 0.91 *0.86, 0.91 *0.86, 0.91 *0.86, 0.91 *0.87, 0.91 *0.87, 0.91 *0.87, 0.91 *0.87, 0.91 *0.88, 0.91 *0.88, 0.91 *0.88, 0.91 *0.89, 0.91 *0.89, 0.91 *0.89, 0.91 *0.90, 0., 0.91 *0.78, 0.91 *0.84, 0.91 *0.85, 0.91 *0.86, 0.91 *0.86, 0.91 *0.86, 0.91 *0.87, 0.91 *0.87, 0.91 *0.87, 0.91 *0.87, 0.91 *0.88, 0.91 *0.88, 0.91 *0.88, 0.91 *0.89, 0.91 *0.89, 0.91 *0.89, 0.91 *0.90, 0., 0.91 *0.78, 0.91 *0.84, 0.91 *0.85, 0.91 *0.86, 0.91 *0.86, 0.91 *0.86, 0.91 *0.87, 0.91 *0.87, 0.91 *0.87, 0.91 *0.87, 0.91 *0.88, 0.91 *0.88, 0.91 *0.88, 0.91 *0.89, 0.91 *0.89, 0.91 *0.89, 0.91 *0.90, 0., 0.90 *0.78, 0.90 *0.84, 0.90 *0.85, 0.90 *0.86, 0.90 *0.86, 0.90 *0.86, 0.90 *0.87, 0.90 *0.87, 0.90 *0.87, 0.90 *0.87, 0.90 *0.88, 0.90 *0.88, 0.90 *0.88, 0.90 *0.89, 0.90 *0.89, 0.90 *0.89, 0.90 *0.90, 0., 0.90 *0.78, 0.90 *0.84, 0.90 *0.85, 0.90 *0.86, 0.90 *0.86, 0.90 *0.86, 0.90 *0.87, 0.90 *0.87, 0.90 *0.87, 0.90 *0.87, 0.90 *0.88, 0.90 *0.88, 0.90 *0.88, 0.90 *0.89, 0.90 *0.89, 0.90 *0.89, 0.90 *0.90, 0., 0.88 *0.78, 0.88 *0.84, 0.88 *0.85, 0.88 *0.86, 0.88 *0.86, 0.88 *0.86, 0.88 *0.87, 0.88 *0.87, 0.88 *0.87, 0.88 *0.87, 0.88 *0.88, 0.88 *0.88, 0.88 *0.88, 0.88 *0.89, 0.88 *0.89, 0.88 *0.89, 0.88 *0.90, 0., 0.87 *0.78, 0.87 *0.84, 0.87 *0.85, 0.87 *0.86, 0.87 *0.86, 0.87 *0.86, 0.87 *0.87, 0.87 *0.87, 0.87 *0.87, 0.87 *0.87, 0.87 *0.88, 0.87 *0.88, 0.87 *0.88, 0.87 *0.89, 0.87 *0.89, 0.87 *0.89, 0.87 *0.90, 0., 0.84 *0.78, 0.84 *0.84, 0.84 *0.85, 0.84 *0.86, 0.84 *0.86, 0.84 *0.86, 0.84 *0.87, 0.84 *0.87, 0.84 *0.87, 0.84 *0.87, 0.84 *0.88, 0.84 *0.88, 0.84 *0.88, 0.84 *0.89, 0.84 *0.89, 0.84 *0.89, 0.84 *0.90, 0., 0.80 *0.78, 0.80 *0.84, 0.80 *0.85, 0.80 *0.86, 0.80 *0.86, 0.80 *0.86, 0.80 *0.87, 0.80 *0.87, 0.80 *0.87, 0.80 *0.87, 0.80 *0.88, 0.80 *0.88, 0.80 *0.88, 0.80 *0.89, 0.80 *0.89, 0.80 *0.89, 0.80 *0.90, 0., 0.78 *0.78, 0.78 *0.84, 0.78 *0.85, 0.78 *0.86, 0.78 *0.86, 0.78 *0.86, 0.78 *0.87, 0.78 *0.87, 0.78 *0.87, 0.78 *0.87, 0.78 *0.88, 0.78 *0.88, 0.78 *0.88, 0.78 *0.89, 0.78 *0.89, 0.78 *0.89, 0.78 *0.90, 0., 0.78 *0.78, 0.78 *0.84, 0.78 *0.85, 0.78 *0.86, 0.78 *0.86, 0.78 *0.86, 0.78 *0.87, 0.78 *0.87, 0.78 *0.87, 0.78 *0.87, 0.78 *0.88, 0.78 *0.88, 0.78 *0.88, 0.78 *0.89, 0.78 *0.89, 0.78 *0.89, 0.78 *0.90, 0., 0.79 *0.78, 0.79 *0.84, 0.79 *0.85, 0.79 *0.86, 0.79 *0.86, 0.79 *0.86, 0.79 *0.87, 0.79 *0.87, 0.79 *0.87, 0.79 *0.87, 0.79 *0.88, 0.79 *0.88, 0.79 *0.88, 0.79 *0.89, 0.79 *0.89, 0.79 *0.89, 0.79 *0.90, 0., 0.72 *0.78, 0.72 *0.84, 0.72 *0.85, 0.72 *0.86, 0.72 *0.86, 0.72 *0.86, 0.72 *0.87, 0.72 *0.87, 0.72 *0.87, 0.72 *0.87, 0.72 *0.88, 0.72 *0.88, 0.72 *0.88, 0.72 *0.89, 0.72 *0.89, 0.72 *0.89, 0.72 *0.90, 0.}
)
function eff2DPhoton_R2
static const HEPUtils::BinnedFn2D< double > eff2DPhoton_R2(
{ 0., 0.6, 1.37, 1.52, 1.81, 2.37, DBL_MAX } ,
{ 0., 10., 15., 20., 25., 30., 35., 40., 45., 50., 60., 80., 100., 125., 150., 175., 250., DBL_MAX } ,
{ 0.00, 0.55, 0.70, 0.85, 0.89, 0.93, 0.95, 0.96, 0.96, 0.97, 0.97, 0.98, 0.97, 0.97, 0.97, 0.97, 0.97, 0.00, 0.47, 0.66, 0.79, 0.86, 0.89, 0.94, 0.96, 0.97, 0.97, 0.98, 0.97, 0.98, 0.98, 0.98, 0.98, 0.98, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.54, 0.71, 0.84, 0.88, 0.92, 0.93, 0.94, 0.95, 0.96, 0.96, 0.96, 0.96, 0.96, 0.96, 0.96, 0.96, 0.00, 0.61, 0.74, 0.83, 0.88, 0.91, 0.94, 0.95, 0.96, 0.97, 0.98, 0.98, 0.98, 0.98, 0.98, 0.98, 0.98, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00 }
)
Photon efficiencies
Attributes Documentation
variable bineffs_eta_Loose
static const std::vector< double > bineffs_eta_Loose = { 0.950, 0.965, 0.955, 0.885, 0.950, 0.935, 0.90, 0 };
Note:
- Numbers digitised from Fig 3 of 13 TeV note (ATL-PHYS-PUB-2015-041)
- Manually symmetrised eta eff histogram
Todo: What about faking by jets or non-electrons?
Efficiency function for Loose ID electrons
variable bineffs_et_Loose
static const std::vector< double > bineffs_et_Loose = {0.0, 0.90/0.95, 0.91/0.95, 0.92/0.95, 0.94/0.95, 0.95/0.95, 0.955/0.95, 0.965/0.95, 0.97/0.95, 0.98/0.95, 0.98/0.95 };
Note: Et eff histogram (10-20 GeV bin added by hand) normalisation factor as approximate double differential
variable bineffs_eta_Medium
static const std::vector< double > bineffs_eta_Medium = { 0.900, 0.930, 0.905, 0.830, 0.900, 0.880, 0.85, 0 };
Note:
- Numbers digitised from Fig 3 of 13 TeV note (ATL-PHYS-PUB-2015-041)
- Manually symmetrised eta eff histogram
Efficiency function for Medium ID electrons
variable bineffs_et_Medium
static const std::vector< double > bineffs_et_Medium = {0.0, 0.83/0.95, 0.845/0.95, 0.87/0.95, 0.89/0.95, 0.90/0.95, 0.91/0.95, 0.92/0.95, 0.93/0.95, 0.95/0.95, 0.95/0.95};
Note: Et eff histogram (10-20 GeV bin added by hand) normalisation factor as approximate double differential
variable effTau_R1
static const double effTau_R1 = 0.40;
Note: From Delphes 3.1.2
Todo: Use https://cds.cern.ch/record/1233743/files/ATL-PHYS-PUB-2010-001.pdf– it is more accurate and has pT-dependence
Tau efficiencies Generic tau efficiency Randomly filter the supplied particle list by parameterised Run 1 tau efficiency
variable binedges_pt
static const std::vector< double > binedges_pt = { 0., 20., 40., 60., 120., 160., 220., 280., 380., 500., DBL_MAX };
Note:
- From Delphes 3.3.2 & ATL-PHYS-PUB-2015-045, 60% for 1-prong, 70% for multi-prong: this is wrong!!
- No delete, because this should only ever be applied to copies of the Event Particle* vectors in Analysis routines
Randomly filter the supplied particle list by parameterised Run 2 tau efficiency
variable bineffs_pt_avg
static const std::vector< double > bineffs_pt_avg = { 0., .52, .53, .54, .56, .55, .54, .52, .48, 0. };
variable effTau_R2_RNN_Tight
static const double effTau_R2_RNN_Tight = 0.58;
Note:
- this is the newer RNN Tau ID Algorithm, use the other function for the older BDT Tau ID Algorithm.
- by design these Tau ID working points have flat signal efficiencies in eta and phi
- using https://cds.cern.ch/record/2688062/files/ATL-PHYS-PUB-2019-033.pdf
- assuming frequency: 85% 1-prong, 15% >=3-prong
Randomly filter the supplied particle list by parameterised Run 2 RNN tau efficiency
variable effTau_R2_RNN_Medium
static const double effTau_R2_RNN_Medium = 0.73;
variable effTau_R2_RNN_Loose
static const double effTau_R2_RNN_Loose = 0.84;
variable effTau_R2_RNN_VeryLoose
static const double effTau_R2_RNN_VeryLoose = 0.95;
variable eff1DMET
static const efficiency_map< HEPUtils::BinnedFn1D< double > >({ {"CERN_EP_2015_241", eff1DMET_CERN_EP_2015_241}, }) eff1DMET;
variable eff1DEl
static const efficiency_map< HEPUtils::BinnedFn1D< double > >({ {"PERF_2017_01_ID_VeryLoose", eff1DEl_PERF_2017_01_ID_VeryLoose}, {"PERF_2017_01_ID_Loose", eff1DEl_PERF_2017_01_ID_Loose}, {"PERF_2017_01_ID_Medium", eff1DEl_PERF_2017_01_ID_Medium}, {"PERF_2017_01_ID_Tight", eff1DEl_PERF_2017_01_ID_Tight}, {"PERF_2017_01_Iso_LooseTrackOnly", eff1DEl_PERF_2017_01_Iso_LooseTrackOnly}, {"PERF_2017_01_Iso_Loose", eff1DEl_PERF_2017_01_Iso_Loose}, {"PERF_2017_01_Iso_GradientLoose", eff1DEl_PERF_2017_01_Iso_GradientLoose}, {"PERF_2017_01_Iso_Gradient", eff1DEl_PERF_2017_01_Iso_Gradient}, {"EGAM_2018_01_Recon", eff1DEl_EGAM_2018_01_Recon}, {"EGAM_2018_01_ID_Loose", eff1DEl_EGAM_2018_01_ID_Loose}, {"EGAM_2018_01_ID_Medium", eff1DEl_EGAM_2018_01_ID_Medium}, {"EGAM_2018_01_ID_Tight", eff1DEl_EGAM_2018_01_ID_Tight}, {"EGAM_2018_01_Iso_Gradient", eff1DEl_EGAM_2018_01_Iso_Gradient}, {"EGAM_2018_01_Iso_Loose", eff1DEl_EGAM_2018_01_Iso_Loose}, {"EGAM_2018_01_Iso_Tight", eff1DEl_EGAM_2018_01_Iso_Tight}, {"EGAM_2018_01_Iso_HighPtCaloOnly", eff1DEl_EGAM_2018_01_Iso_HighPtCaloOnly}, {"ATLAS_SUSY_2018_16", eff1DElectron_ATLAS_SUSY_2018_16} }) eff1DEl;
variable eff2DEl
static const efficiency_map< HEPUtils::BinnedFn2D< double > >({ {"Generic", eff2DEl_Generic}, {"ATLAS_CONF_2014_032_Medium", eff2DEl_ATLAS_CONF_2014_032_Medium}, {"ATLAS_CONF_2014_032_Tight", eff2DEl_ATLAS_CONF_2014_032_Tight}, {"ATLAS_PHYS_PUB_2015_041_Loose", eff2DEl_ATLAS_PHYS_PUB_2015_041_Loose}, {"ATLAS_PHYS_PUB_2015_041_Medium", eff2DEl_ATLAS_PHYS_PUB_2015_041_Medium} }) eff2DEl;
variable eff1DMu
static const efficiency_map< HEPUtils::BinnedFn1D< double > >({ {"MUON_2018_03_Iso_Loose", eff1DMu_MUON_2018_03_Iso_Loose}, {"MUON_2018_03_Iso_Tight", eff1DMu_MUON_2018_03_Iso_Tight}, {"MUON_2018_03_ID_Loose", eff1DMu_MUON_2018_03_ID_Loose}, {"MUON_2018_03_ID_Medium", eff1DMu_MUON_2018_03_ID_Medium}, {"MUON_2018_03_ID_Tight", eff1DMu_MUON_2018_03_ID_Tight}, {"ATLAS_PHYS_PUB_2020_002_Medium", eff1DMu_ATLAS_PHYS_PUB_2020_002_Medium}, {"ATLAS_PHYS_PUB_2020_002_LowPT", eff1DMu_ATLAS_PHYS_PUB_2020_002_LowPT}, {"ATLAS_SUSY_2018_16", eff1DMuon_ATLAS_SUSY_2018_16} }) eff1DMu;
variable eff2DMu
static const efficiency_map< HEPUtils::BinnedFn2D< double > >({ {"Generic", eff2DMu_Generic}, {"R2", eff2DMu_R2} }) eff2DMu;
variable effTau
static const efficiency_map< double >({ {"R1", effTau_R1}, {"R2_RNN_Tight", effTau_R2_RNN_Tight}, {"R2_RNN_Medium", effTau_R2_RNN_Medium}, {"R2_RNN_Loose", effTau_R2_RNN_Loose}, {"R2_RNN_VeryLoose", effTau_R2_RNN_VeryLoose}, }) effTau;
variable eff1DTau
static const efficiency_map< HEPUtils::BinnedFn1D< double > >({ {"R2", eff1DTau_R2}, }) eff1DTau;
variable eff1DTrack
static const efficiency_map< HEPUtils::BinnedFn1D< double > >({ {"ATLAS_SUSY_2018_16_isolated_track", eff1DTrack_ATLAS_SUSY_2018_16_isolated_track}, }) eff1DTrack;
variable eff2DTrack
static const efficiency_map< HEPUtils::BinnedFn2D< double > >({ {"ATL_PHYS_PUB_2015_051_Tight_Primary", eff2DTrack_ATL_PHYS_PUB_2015_051_Tight_Primary}, {"ATL_PHYS_PUB_2015_051_Loose", eff2DTrack_ATL_PHYS_PUB_2015_051_Loose}, }) eff2DTrack;
variable eff2DPhoton
static const efficiency_map< HEPUtils::BinnedFn2D< double > >({ {"R2", eff2DPhoton_R2}, }) eff2DPhoton;
Updated on 2026-11-03 at 14:50:43 +0000