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

Understand

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 $H\to c \bar{c}$ decay and on a CP-odd scalar $A$ with $m_A \leq 10$ GeV we obtain the limits $\mathcal{B}r(H\rightarrow c\bar{c})\leq 6.09\%$ and $\mathcal{B}r(H\rightarrow A(\rightarrow c\bar{c}) Z)\leq 0.01\%$ at $95\%$ C.
• L..