Speaker
Description
The electron positron Higgs factory is regarded as the highest priority future collider facility, as it could bring decisive data from the Higgs portal to address the long standing Known Unknowns such as the origin of matter, the nature of Dark matter, the naturalness problem, etc. Meanwhile, these facilities, especially the circular ones like CEPC or FCC, could produce huge statistic of Massive Standard Model particles that enables the exploration at EW, Flavor, QCD, and direct New Physics signal search, which greatly enhances their physics merits.
Hadronic events are the bulk part of physics events at future electron positron Higgs factory. For instance, 97% of ZH signal decays into final state with jets, while the majority are actually full hadronic events. Therefore, an efficient reconstruction of those hadronic events is critical for the physics exploration at future Higgs factory, and, actually the entire high energy frontier.
To address this requirements, we propose and realize a trilogy for the event reconstruction at future Higgs factory using Artificial Intelligence and state of art detector design.
First, one-one correspondence reconstruction that aims at efficiently reconstruct and identify all the visible particles, or, to some extend, could be regarded as the confusion free Particle Flow reconstruction with Perfect particle identification;
secondly, jet origin identification that distinguish jets originated from 11 different kinds of colored particles; and thirdly, color singlet identification that aims at distinguish the color singlet origin of each reconstructed particles, for example, in a full hadronic ZH event or vvHH events, to identify from which boson a final state particle is generated.
We will present the current status of relevant performance studies, and discuss its impact on the physics exploration at future collider experiment.
