海角社区

Hanyu Wei

Assistant Professor of Physics

Ph.D. 2017 - Tsinghua University

海角社区
Department of Physics & Astronomy
224 Nicholson Hall, Tower Dr.
Baton Rouge, LA 70803-4001
225-578-3605 - Office
hwei2@lsu.edu

Research Interests

Experimental High Energy Physics

My principle research interest is in experimental particle physics. I primarily work on neutrino experiments, exploring the nature of neutrinos and unraveling the mysteries of neutrinos. Studying neutrinos, which are the least understood elementary particles, will play an important role in understanding how the universe works at the most fundamental level.

My present research focuses on the detection and study of neutrinos in several accelerator neutrino experiments, such as , , and the upcoming leading-edge international neutrino experiment . One common feature of these experiments is to utilize the advanced liquid argon time projection chamber (LArTPC) to detect neutrinos. In order to maximize the physics capability of this new detector technology, in addition to contributing to the detector instrumentation e.g. the electronics readout, I鈥檝e primarily been committed to developing a novel LArTPC 3D reconstruction paradigm, , pursuing high performance and high impact physics in LArTPCs. Leveraging the Wire-Cell reconstruction, we did several flagship physics analyses in MicroBooNE in the aspects of neutrino-argon cross section measurements and low energy electron-like or photon-like excess search. The latter analysis is also tied to the question if sterile neutrinos exist.

Integration, upgrade (machine-learning/deep-learning based), and new application of Wire-Cell reconstruction is one of my research thrusts in the following years. Physics such as differential neutrino-argon cross section measurement, short-baseline neutrino oscillation in SNB program, long-baseline neutrino oscillation in DUNE, nucleon decay search, and exotic physics (beyond Standard Model, dark sector, etc.) in LArTPCs are what we will focus on.

I previously worked on a reactor neutrino experiment and contributed to the world-wide most precise measurement of the neutrino mixing angle 脴₁₃  (neutron capture on gadolinium) as well as the second most precise measurement of 脴₁₃  (neutron capture on hydrogen) in multiple liquid scintillator detectors at Daya Bay.

I鈥檓 also interested in the neutrino astro-particle physics. I designed and established the supernova online trigger system (integrated in ) in the Daya Bay neutrino experiment, looking for supernova burst signals in real time. In addition, I initiated the supernova burst neutrino and supernova relic neutrino detection studies at the .

Recent and Select Publications

• 鈥淔irst Constraints on Light Sterile Neutrino Oscillations from Combined Appearance and Disappearance Searches with the MicroBooNE Detector鈥�, MicroBooNE collaboration, Phys. Rev. Lett. 130, 011801 (2023) 
• 鈥淪earch for an Excess of Electron Neutrino Interactions in MicroBooNE using Multiple Final State Topologies鈥�, MicroBooNE collaboration, Phys. Rev. Lett. 128, 241801 (2022)
• 鈥淪earch for an Anomalous Excess of Inclusive Charged-Current 谓e Interactions in the MicroBooNE Experiment using Wire-Cell reconstruction鈥�, MicroBooNE collaboration, Phys. Rev. D 105, 112005 (2022)
• 鈥淔irst Measurement of Energy-dependent Inclusive Muon Neutrino Charged-Current Cross Sections on Argon with the MicroBooNE Detector鈥�, MicroBooNE collaboration, Phys. Rev. Lett. 128, 151801 (2022)
• 鈥淲ire-Cell 3D Pattern Recognition Techniques for Neutrino Event Reconstruction in Large LArTPCs: Algorithm Description and Quantitative Evaluation with MicroBooNE simulation鈥�, MicroBooNE collaboration, JINST 17, P01037 (2022)
• 鈥淐osmic Ray Background Rejection with Wire-Cell LArTPC Event Reconstruction in the MicroBooNE Detector鈥�, MicroBooNE collaboration, Phys. Rev. Applied 15, 064071 (2021) 
• 鈥淣eutrino Event Selection in the MicroBooNE Liquid Argon Time Projection Chamber using Wire-Cell 3-D Imaging, Clustering, and Charge-Light Matching鈥�, MicroBooNE collaboration, JINST 16, P06043 (2021) 
• 鈥淎ugmented Signal Processing in Liquid Argon Time Projection Chambers with a Deep Neural Network鈥�, H. Yu and others, JINST 16, P01036 (2021) 
• 鈥淔irst results on ProtoDUNE-SP liquid argon time projection chamber performance from a beam test at the CERN Neutrino Platform鈥�, DUNE collaboration, JINST 15, P12004 (2020) 
• 鈥淚onization Electron Signal processing in Single Phase LArTPCs I. Algorithm Description and Quantitative Evaluation with MicroBooNE Simulation鈥�, MicroBooNE collaboration, JINST 13, P07006 (2018) 
• 鈥淚onization Electron Signal processing in Single Phase LArTPCs II. Data/Simulation Comparison and Performance in MicroBooNE鈥�, MicroBooNE collaboration, JINST 13, P07007 (2018) 
• 鈥淒ata Unfolding with Wiener-SVD Method鈥�, W. Tang, X. Li, X. Qian, H. Wei and C. Zhang, JINST 12, P10002 (2017) 
• 鈥淒iscovery potential for supernova relic neutrinos with slow liquid scintillator detectors鈥�, Hanyu Wei et al., Phys. Lett. B 769 (2017) 255-261 
• 鈥淢easurement of electron antineutrino oscillation based on 1230 days of operation of the Daya Bay experiment鈥�, F. P. An et al. (Daya Bay Collaboration), Phys. Rev. D 95, 072006 (2017) 
• 鈥淒esign, characterization, and sensitivity study of the supernova trigger system at Daya Bay鈥�, Hanyu Wei et al., Astroparticle Physics 75, 38-43 (2016) 
• 鈥淣ew measurement of 胃13 via neutron capture on hydrogen at Daya Bay鈥�, F. P. An et al. (Daya Bay Collaboration), Phys. Rev. D 93, 072011 (2016)