4 papers
SMEFT-Pheno-Agent: a natural-language-driven AI agent for machine-learning-assisted Standard Model Effective Field Theory phenomenology
Yu-Chen Guo, Jie Wang, Ji-Chong Yang
We present SMEFT-Pheno-Agent, a Python workflow guided by a natural-language AI agent to perform machine-learning-assisted Standard Model Effective Field Theory (SMEFT) phenomenolo…
LHC Mono- Signatures as a Probe for Dark Matter Explanations of Astrophysical Excesses
Yu-Chen Guo, Ying-Xin Li, Chih-Ting Lu
The inert two-Higgs doublet model (IDM) is a compelling framework for weakly interacting massive particles (WIMPs) linked to electroweak symmetry breaking. It can account for both…
Search for anomalous quartic gauge couplings in the process with a nested local outlier factor
Ke-Xin Chen, Yu-Chen Guo, Ji-Chong Yang
In recent years, with the increasing luminosities of colliders, handling the growing amount of data has become a major challenge for future new physics~(NP) phenomenological resear…
Search for Neutral Triple Gauge Couplings with Production at Future Electron Positron Colliders
Yu-Chen Guo, Chun-Jing Pan, Man-Qi Ruan +1
This study investigates Neutral Triple Gauge Couplings (nTGCs) through production at future electron-positron colliders. The impact of beam polarization on cross section is an…