Yongheng Xu

Yongheng Xu

 

Postdoctoral Fellow

Research group | Theoretical Physics 
Main supervisor | Are Raklev
Co-supervisor | -
Affiliation | Department of Physics, UiO
Contact | yongheng.xu@fys.uio.no


Short bio

I am a particle physicist with a broad interest in new physics at the intersection of theory and experiment, focusing on the phenomenology of beyond-standard-model physics in detectors. I was trained as a theorist during my master's studies beginning from 2016, and defended my thesis on the phenomenology of future electron colliders in 2019. I then transitioned to experimental work, joining the T2K neutrino experiment as a PhD student at Lancaster University in the UK, supervised by Dr. Laura Kormos. I defended my PhD thesis on statistical inference and data analysis of the T2K experiment in May 2023. I then joined UCLA as a postdoctoral researcher, working with Prof. Alvine Kamaha on the data analysis of the LUX-ZEPLIN experiment and the setup of a local lab. Currently, I am a postdoctoral research fellow in the theoretical physics section, working on my DSTrain project, developing AI-based simulation tools for particle detectors.

Research interests and hobbies

Besides my DSTrain project, I am also a member of the GAMBIT community, working on the global analysis of neutrino experiments. I also plan to continue my participation in the data analysis and simulation work of the LUX-ZEPLIN experiment. 

DSTrain project

My research is focused on some of the most pressing questions in particle physics, including neutrino oscillations and the nature of dark matter. Currently, I work on developing AI-based simulation tools for particle detectors, aimed at improving the accessibility and cost-efficiency of realistic detector response modeling. By leveraging machine learning techniques, I seek to enhance simulation speed and accuracy, enabling more efficient data analysis in high-energy physics experiments.

 


Publications

DSTrain publications

Previous publications

First search for atmospheric millicharged particles with the LUX-ZEPLIN experiment

LZ Collaboration ? J. Aalbers (SLAC and Stanford U., Phys. Dept. and KIPAC, Menlo Park) et al.

e-Print: 2412.04854 [hep-ex]

 

Dark Matter Search Results from 4.2 Tonne-Years of Exposure of the LUX-ZEPLIN (LZ) Experiment

LZ Collaboration ? J. Aalbers (SLAC and KIPAC, Menlo Park) et al.

e-Print: 2410.17036 [hep-ex]

 

First Joint Oscillation Analysis of Super-Kamiokande Atmospheric and T2K Accelerator Neutrino Data

T2K and Super-Kamiokande Collaborations ? K. Abe (Yokohama Natl. U. and Kamioka Observ. and U. Tokyo (main) and Tokyo U., IPMU) et al.

e-Print: 2405.12488 [hep-ex]

DOI: 10.1103/PhysRevLett.134.011801 (publication)

Published in: Phys.Rev.Lett. 134 (2025) 1, 011801

 

Measurements of the νμ and ν?μ-induced coherent charged pion production cross sections on C12 by the T2K experiment

T2K Collaboration ? K. Abe (Kamioka Observ.) et al.

e-Print: 2308.16606 [hep-ex]

DOI: 10.1103/PhysRevD.108.092009 (publication)

Published in: Phys.Rev.D 108 (2023) 9, 9

 

First measurement of muon neutrino charged-current interactions on hydrocarbon without pions in the final state using multiple detectors with correlated energy spectra at T2K

T2K Collaboration ? K. Abe (Kamioka Observ.) et al.

e-Print: 2303.14228 [hep-ex]

DOI: 10.1103/PhysRevD.108.112009 (publication)

Published in: Phys.Rev.D 108 (2023) 11, 112009

 

Measurements of neutrino oscillation parameters from the T2K experiment using $3.6\times 10^{21}$ protons on target

T2K Collaboration ? K. Abe (Kamioka Observ.) et al.

e-Print: 2303.03222 [hep-ex]

DOI: 10.1140/epjc/s10052-023-11819-x

Published in: Eur.Phys.J.C 83 (2023) 9, 782

 

Scintillator ageing of the T2K near detectors from 2010 to 2021

T2K Collaboration ? K. Abe (Kamioka Observ.) et al.

e-Print: 2207.12982 [physics.ins-det]

DOI: 10.1088/1748-0221/17/10/P10028

Published in: JINST 17 (2022) 10, P10028

 

Probing dark matter particles at CEPC

Zuowei Liu (Nanjing U. and Peking U., CHEP and CAS, CEPP, Beijing), Yong-Heng Xu (Nanjing U.), Yu Zhang (CAS, CEPP, Beijing and Hefei, CUST)

e-Print: 1903.12114 [hep-ph]

DOI: 10.1007/JHEP06(2019)009

Published in: JHEP 06 (2019), 009

 

 

Importance and construction of features in identifying new physics signals with deep learning

Chang-Wei Loh (Nanjing U.), Rui Zhang (Nanjing U.), Yong-Heng Xu (Nanjing U.), Zhi-Qiang Qian (Nanjing U.), Si-Cheng Chen (NUAA, Nanjing) et al.

e-Print: 1712.03806 [hep-ex]

 

Published Feb. 18, 2025 3:08 PM - Last modified Feb. 28, 2025 4:22 PM