Rest Frame Subjet Algorithm With SISCone Jet For Fully Hadronic Decaying Higgs Search

Abstract

The rest frame subjet algorithm is introduced to define the subjets for the SISCone jet. Using it, an IR and collinear safe jet shape observable N-subjettiness, $τ_N^{j}$, is defined to discriminate the fat jet from a highly boosted color singlet particle decaying to N partons and the QCD jet. Using rest frame subjets and $τ_2^{j}$ on dijets from highly boosted $\it H / W / Z$ bosons through $pp \to \it H W$, $\it H Z$, we found that statistical significance of the signal is about $2 σ$ at the LHC with $\mathcal{L} \sim 30 \mathrm{fb^{-1}}$ at $14 \tev$.

Figures (3)

• Figure 1: Illustration of the jet and the rest frame subjets. a) The lab frame, b) The jet rest frame.
• Figure 2: ${\tau_2^{j}}$ distributions of jets with $110 {\rm GeV} \le m^{jet}_{inv} \le 130 {\rm GeV}$, $p_T > 200 {\rm GeV}$, $|y| < 2.5$.
• Figure 3: Expected $m_{jet}$ distributions of the signal and background events that passes all cuts with $\mathcal{L} \sim {30 } {\rm fb^{-1} }$. Pythia with the ATLAS MC09 parameter tune and SISCone jet with $R=0.8$ is used. The $JJ$ sample includes $bb$. The b-tag efficiency, c-jet misidentification and light-jet misidentification probabilities are assumed to be $70 \%$, $10 \%$, $1 \%$.