Xunwu Zuo

Here are all the papers by Xunwu Zuo that you can download and read on OA.mg.
Xunwu Zuo’s last known institution is . Download Xunwu Zuo PDFs here.

Abstract We propose the development of a novel muon-proton and muon-nucleus collider facility at the TeV scale that is capable of performing precision deep inelastic scattering measurements in new regimes and providing a rich program in nuclear and particle physics. Such a facility could seed, or leverage, the development of a muon-antimuon collider and make use of the existing hadron accelerator infrastructure when sited at a facility such as Brookhaven National Laboratory, Fermilab, or CERN. We discuss the possible energy and luminosity design parameters for several collider configurations, and illustrate the science potential with several studies on deep inelastic scattering kinematics, Higgs and vector boson production, top quark production, and beyond Standard Model leptoquark production. Detector design considerations and a possible road map toward development are also given.

DOI: 10.22323/1.449.0331

2024

Quark & Lepton flavour physics opportunities at FCC-ee

The Future Circular Collider (FCC) is a post-LHC project aiming at direct and indirect searches for physics beyond the SM in a new 91 km tunnel at CERN. The abundant production of beauty and charm hadrons in the $6\times 10^{12}$ Z boson decays expected in e+e- collisions at FCC-ee offers outstanding opportunities in flavour physics with b and c hadron samples that exceed those available at Belle II by a factor of 20, and are complementary to the LHC heavy-flavour programme. A wide range of measurements will be possible in heavy-flavour spectroscopy, rare decays of heavy-flavoured particles and CP-violation studies, which will benefit from the low-background experimental environment, the high Lorentz boost, and the availability of the full spectrum of hadron species. The tau pairs production in the Tera-Z phase will be 3 times larger than at Belle II, and thanks to more favorable experimental conditions (better tau - hadrons separation, better tau hemispheres separation, higher momentum tracks) it will be possible to significantly improve the determinations of the tau-lepton properties -- lifetime, leptonic and hadronic widths, and mass -- allowing for important tests of lepton universality. Furthermore, it will be possible to extend the searches for Lepton-Flavour-Violating tau decays, and, via the measurement of the tau polarisation, FCC-ee can access a precise determination of the neutral-current couplings of electrons and taus. These measurements present strong experimental challenges to exploit as far as possible statistical uncertainties $O(10^{-5})$, raising strict detector requirements. This contribution will present an overview of the broad potential of the FCC-ee flavour physics program and also some preliminary results from recent analyses.

DOI: 10.1007/978-981-99-9412-0_32

2024

Prediction and Analysis of Stroke Risk Based on Ensemble Learning

With the development of science and technology, the application of data mining in medical field is becoming more and more popular. Machine learning methods also plays an important role in disease prediction. Stroke is characterized by high incidence rate, high disability rate, high mortality rate and high recurrence rate, and it is also likely to cause other kinds of complications. In this paper, each feature in the stroke dataset was analyzed in order to find out the factors affecting stroke and conducts classification and prediction research on whether there is a disease risk. Specifically, the PCA (Principal Component Analysis) algorithm is used to extract the main feature components of data, the SMOTE (Synthetic Minority Oversampling Technique) algorithm is used to adjust imbalanced feature categories. Traditional machine learning classification algorithms, such as decision tree, SVM(support vector machines), and various ensemble learning algorithms are used for the prediction of stroke risk, so as to study the relationship between stroke disease and each feature, and the classification prediction model, so that we can prevent strokes in time and reduce the risk of stroke. Among all the models, Bagging (Bootstrap aggregating) has the best performance with an ROC value of 0.97.

DOI: 10.1140/epjc/s10052-024-12418-0

2024

Prospects for $$B_c^+$$ and $$B^+\rightarrow \tau ^+ \nu _\tau $$ at FCC-ee

DOI: 10.48550/arxiv.2305.02998

2023

Prospects for $B_c^+$ and $B^+\to τ^+ ν_τ$ at FCC-ee

The prospects are presented for precise measurements of the branching ratios of the purely leptonic $B_c^+ \to \tau^+ \nu_\tau$ and $B^+ \to \tau^+ \nu_\tau$ decays at the Future Circular Collider (FCC). Common FCC software tools are employed in all steps of this study. This work is focused on the hadronic $\tau^{+} \to \pi^+ \pi^+ \pi^- \bar{\nu}_\tau$ decay in both $B_c^+ \to \tau^+ \nu_\tau$ and $B^+ \to \tau^+ \nu_\tau$ processes. Events are selected with two Boosted Decision Tree algorithms to optimise the separation between the two signal processes as well as the generic hadronic $Z$ decay backgrounds. The range of the expected precision for both signals are evaluated in different scenarios of non-ideal background modelling. The theoretical impacts of such measurements are discussed in both the Standard Model context, for measurements of CKM matrix elements, as well as New Physics cases, for interpretations in the generic Two-Higgs-doublet model and leptoquark models.

DOI: 10.3390/wevj14070171

2023

A Charging Guidance Optimization Model for Electric Vehicle Travel by Considering Multi-Dimensional Preferences of Users

The dual-carbon strategy advocates a green, environmentally friendly, and low-carbon lifestyle. In the field of transportation, electric vehicles (EVs) have been regarded as an effective solution to reduce carbon emissions and to conserve energy. Developing a reasonable charging guidance scheme for users is a feasible way to solve problems, such as the range anxiety of EV users, and has a great application value for the promotion of EVs in the future. In practical situations, how to develop charging induction schemes for users that better meet their needs according to the type of user and their multi-dimensional preferences is the focus of this paper. To this end, this study utilized charging behavioral data to investigate the multi-dimensional charging preference of users based on the collaborative filtering algorithm. Then, a multi-objective optimization model was established based on the preference degree of each charging station and the integrated travel cost. An NSGA-III framework was used to design the algorithm to solve the proposed model. The algorithm was tested using simulation experiments that were designed based on the road network and charging stations in Beijing. The final result is an experimental analysis of the weight matrices for the three different preferences of minimum energy consumption cost, minimum time cost, and minimum fee cost, which yields a difference of about 4.4% between the optimal energy consumption cost and the maximum energy cost, about 2.9% between the optimal time cost and the maximum time cost, and about 10% between the optimal fee cost and the maximum fee cost under these three different preferences, respectively. The proposed multi-objective optimization model is able to provide users with reliable charging station selection by incorporating their personalized charging preference characteristics and charge guidance schemes.

DOI: 10.48550/arxiv.2203.06258

2022

The Potential of a TeV-Scale Muon-Ion Collider

We propose the development of a novel muon-proton and muon-nucleus collider facility at the TeV scale that is capable of performing precision deep inelastic scattering measurements in new regimes and providing a rich program in nuclear and particle physics. Such a facility could seed, or leverage, the development of a muon-antimuon collider and make use of the existing hadron accelerator infrastructure when sited at a facility such as Brookhaven National Laboratory, Fermilab, or CERN. We discuss the possible energy and luminosity design parameters for several collider configurations, and illustrate the science potential with several studies on deep inelastic scattering kinematics, Higgs and vector boson production, top quark production, and beyond Standard Model leptoquark production. Detector design considerations and a possible road map toward development are also given.

DOI: 10.1109/ipemc.2012.6259083

2012

A new frequency changeable separate excitation inverting control method

The traditional inverting control methods could be roughly divided into: separate excitation, self excitation and TOT control methods. This paper provides a new separate excitation inverting control method with high anti-interference feature. The frequency of this new method can be adjusted to the resonance frequency. After analyzing the advantages and disadvantages of traditional control methods, this new control method is presented. The circuit composition of this new control method is given and working principle of the circuit is analyzed. The circuit board with this new control method had been made out and experimental results validated the concept of the new control scheme. The new method controlled the inverting successfully and had been proved steady and credible in practical application. In the end, this paper provides the real waves.

2018

Search for the standard model Higgs boson decaying to two muons in pp collisions at center-of-mass energy at 13 TeV

2019

Performance and calibration of LHAASO-MD unit detector

DOI: 10.1049/icp.2022.0470

2021

Influences of low temperature on velocity of positive streamer under uniform field of air gap

Characteristics of streamer propagation in psychro-environment are of great theoretical significance. In this paper, we establish a test chamber that can achieve a low temperature environment, and place a three-electrode arrangement platform in the chamber to create a uniform field where the positive streamer propagates forward. Meanwhile, we use PMT and ICCD to detect propagation velocity, and some other properties. The results show that the field required for initial streamer propagation is exponentially based on temperature; the initial streamer velocity decreases linearly with the temperature falling; the growth rate of velocity under increasing field and the dispersion of velocities under the same field decrease as the temperature falls. By reducing the pulse amplitude applied on the conical electrode, the streamer velocities have an overall decrease, and the initial field rises at each temperature. According to the images captured by ICCD, we also have other findings about the variation of streamer morphology under different conditions.

Xunwu Zuo

Here are all the papers by Xunwu Zuo that you can download and read on OA.mg.Xunwu Zuo’s last known institution is . Download Xunwu Zuo PDFs here.

Here are all the papers by Xunwu Zuo that you can download and read on OA.mg.
Xunwu Zuo’s last known institution is . Download Xunwu Zuo PDFs here.