20 citations · 63 across the 10 of their papers we have counts for
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Learning to Reconstruct Quirky Tracks
Qiyu Sha, Daniel Murnane, Max Fieg +4
Analysis of data from particle physics experiments traditionally sacrifices some sensitivity to new particles for the sake of practical computability, effectively ignoring some pot…
Application of Quantum Machine Learning in a Higgs Physics Study at the CEPC
Abdualazem Fadol, Qiyu Sha, Yaquan Fang +5
Machine learning has blossomed in recent decades and has become essential in many fields. It significantly solved some problems in particle physics -- particle reconstruction, even…
Top quark mass measurements at the threshold with CEPC
Zhan Li, Xiaohu Sun, Yaquan Fang +7
We present a study of top quark mass measurements at the threshold based on CEPC. A centre-of-mass energy scan near two times of the top mass is performed and the measur…
The expected measurement precision of the branching ratio of the Higgs decaying to the di-photon at the CEPC
Fangyi Guo, Yaquan Fang, Gang Li +1
This paper presents the prospects of measuring in 3 decay channels using the baseline detector…
Probing Higgs properties at the CEPC
Qiyu Sha, Abdualazem Fadol, Fangyi Guo +4
In the Circular Electron Positron Collider (CEPC), a measurement of the Higgs CP mixing through $e^{+} e^{-} \rightarrow Z H \rightarrow l^{+} l^{-}(e^{+} e^{-} /μ^{+} μ^{-}) H(\ri…
CEPC Research Report: Higgs Physics Analysis
Manqi Ruan, Yaquan Fang, Gang Li +1
In November 2018, the CEPC released the Conceptual Design Report (CDR) with the physics potential investigation and the analysis about different detector concepts. Since then, inte…