Speaker
Description
We present a new approach to jet definition alternative to clustering methods, such as the anti-kT scheme, that exploit kinematic data directly. Instead the new method uses kinematic information to represent the particles in a multidimensional space, as in spectral clustering. After confirming its Infra-Red (IR) safety, we compare its performance in analysing $gg \rightarrow H_{125GeV} \rightarrow H_{40GeV} H_{40GeV} \rightarrow \bar{b}b\bar{b}b $, $gg \rightarrow H_{500GeV} \rightarrow H_{125GeV}H_{125GeV} \rightarrow \bar{b}b\bar{b}b$ and $gg, q\bar{q} \rightarrow t\bar{t} → \bar{b}b W^+ W^− \rightarrow \bar{b}bjjlν_l$ events from Monte Carlo (MC) samples, specifically, in reconstructing the relevant final states, to that of the anti-kT algorithm. Finally, we show that the results for spectral clustering are obtained without any change in the parameter settings of the algorithm, unlike the anti-kT case, which requires the cone size to be adjusted to the physics process under study.
| In-person participation | Yes |
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