Index
285
charge, 80, 102, 156
cleansing, 71
clustering, 26, 41, 42
decomposition, 40, 41
definition, 25
energy resolution, 63, 65
energy response, 65
energy scale, 65, 66
energy scale uncertainty, 66
fragmentation, 101, 103
function, 30, 48
girth, 75
image, 90
mass, 31, 38, 50, 66, 68, 72, 77, 80, 81,
86–88, 93, 96, 97, 108–110, 116, 123,
126, 131, 132, 137, 138, 143, 148, 153,
155, 181, 200
mass, groomed, 77, 86, 94, 98, 182, 183,
193, 207
mass resolution, 67, 68, 97, 98
mass response, 68
mass scale, 67, 68
reclustering, 73
shapes, 8, 37, 70, 75, 100, 103
size, 100
soft drop mass, 94, 96, 106, 111, 112,
117, 124, 129, 131, 133, 138, 141, 152,
153, 161, 162, 164, 169, 170, 172, 175,
191, 192, 197, 200, 207
tagging, 8, 36, 37, 40–42, 45, 73, 74, 90
topics, 101
width, 75, 100, 104
J E T algorithm, 30
Jets without jets, 71
Johns-Hopkins top tagger, 40
K
Kaluza-Klein particle, 139, 146, 168, 178
Kinematic fit, 153, 166, 177
k T algorithm, 7, 25–27, 30, 81, 82, 84, 148,
201, 203, 207
k T splitting scale, 39, 85, 100, 102, 143, 147,
207
L
LAr calorimeter, 62
Leading vertex, 69–71
Left-right model, 149
Lepton isolation, 114, 115, 125, 127, 130,
205
Leptoquark, 204, 205
LHC Run 2, 2
LHC Run 3, 2
Lifetime, 11
Little Higgs model, 122, 136, 150, 178
Lorentz boost, 6, 19, 30, 31, 88, 141, 169
Low purity, 124, 126, 127, 130, 133
Lund diagram, 103
Lund jet plane, 103
Lund string model, 57
M
Machine learning, 36, 45, 89
Mass drop, 37, 40, 151, 181, 188
condition, 38, 130
modified mass drop tagger, 39
tagger, 38, 109, 181
Mass jump, 41, 42
Matrix element, 50, 52, 55
Mediator particle, 179, 183, 185, 186, 188–
190, 194
Mellin factor, 49
Mini-isolation, 114, 128, 133, 137, 144, 148,
152, 197
Minimum-bias events, 51
Modelling uncertainty, 76, 78, 95, 101, 106,
109, 117, 126, 143, 174, 201
Mono-b, 183, 186
Mono-Higgs, 181, 184, 185
Mono-jet, 180, 181, 183
Mono-photon, 180, 181, 183
Mono-t, 183, 186–188
Mono-V, 181
Mono-Z, 181, 183
Multi-class tagger, 155, 156
Multigraphs, 35
Multiple parton interactions, 50, 52, 54, 56
Muon detectors, 62
MV2c10 algorithm, 81, 82
N
Neural network, 36, 37, 64, 89, 113, 117,
128, 143, 155, 156, 197
Neutralino, 178, 196, 197, 199, 205
N-jettiness, 28, 32
Non-global logarithms, 31, 47, 49
Non-global observables, 47
Non-perturbative effects, 10, 27, 31–33, 37,
46, 48, 49, 75, 95, 102
N-subjettiness, 32, 72, 77, 79, 100, 104
angular exponent, 32
one-pass minimisation, 32
Précédent

- 296/298

Suivant