Double-charming Higgs boson identification using machine-learning assisted jet shapes - INSPIRE

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Double-charming Higgs boson identification using machine-learning assisted jet shapes

Alexander Lenz
(
- Durham U. and
- Durham U., IPPP
)
,
Michael Spannowsky
(
- Durham U. and
- Durham U., IPPP
)
,
Gilberto Tetlalmatzi-Xolocotzi
(
- NIKHEF, Amsterdam
)

Aug 11, 2017

18 pages

Published in:

Phys.Rev.D 97 (2018) 1, 016001

Published: Jan 10, 2018

e-Print:

1708.03517 [hep-ph]

DOI:

10.1103/PhysRevD.97.016001

View in:

ADS Abstract Service

reference search6 citations

Citations per year

Abstract: (APS)

We study the possibility of identifying a boosted resonance that decays into a charm pair against different sources of background using QCD event shapes, which are promoted to jet shapes. Using a set of jet shapes as input to a boosted decision tree, we find that observables utilizing the simultaneous presence of two charm quarks can access complementary information compared to approaches relying on two independent charm tags. Focusing on Higgs associated production with subsequent H→cc¯ decay and on a CP-odd scalar A with mA≤10 GeV we obtain the limits Br(H→cc¯)≤6.48% and Br(H→A(→cc¯)Z)≤0.01% at 95% C.L.

charm: pair production
quantum chromodynamics
Higgs particle: associated production
background
jet: production
event shape analysis
numerical calculations: Monte Carlo
transverse momentum dependence
coupling: Yukawa
charm: coupling

References(67)

Figures(53)

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