activity
20152021
most citedStudy of decays to the and final states

47 citations · 103 across the 13 of their papers we have counts for

collaborators

13 papers

hep-ph2021

-channel Higgs production and constraints on off-shell Higgs couplings

Li-Gang Xia

This note is to record an unsucessful idea. I tried hard to persuade myself to write this note as I have spent a significant fraction of time during this summer. For Higgs resonant…

physics.data-an2021

Improved Asymptotic Formulae for Statistical Interpretation Based on Likelihood Ratio Tests

Li-Gang Xia, Yan Zhang

In this work, we attempt to refine the classic asymptotic formulae to describe the probability distribution of likelihood-ratio statistical tests. The idea is to split the probabil…

hep-ph2020★ 1 cited

Search for Low-Mass Leptoquarks using the final states in Pb-Pb Ultra-Peripheral Collisions

Li-Gang Xia

After a review over past experiments and theoretical requirements from low-energy flavour physics, we argue that the possibility of low-mass leptoquarks (LQ) cannot be fully exclud…

hep-ph2019★ 1 cited

F2F, a model-independent method to determine the mass and width of a particle in the presence of interference

Li-Gang Xia

It is generally believed that any particle to be discovered will have a TeV-order mass. Given its great mass, it must have a large decay width. Therefore, the interference effect w…

physics.data-an2018★ 2 cited

Understanding the boosted decision tree methods with the weak-learner approximation

Li-Gang Xia

Two popular boosted decsion tree (BDT) methods, Adaptive BDT (AdaBDT) and Gradient BDT (GradBDT) are studied in the classification problem of separating signal from background assu…

physics.data-an2018★ 28 cited

QBDT, a new boosting decision tree method with systematic uncertainties into training for High Energy Physics

Li-Gang Xia

A new boosting decision tree (BDT) method, QBDT, is proposed for the classification problem in the field of high energy physics (HEP). In many HEP researches, great efforts are mad…