97 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Shanghai Jiao Tong UniversityCN42 papers
- University of FerraraIT6 papers
- University of Wisconsin–MadisonUS6 papers
- National Taiwan UniversityTW5 papers
- Peking UniversityCN5 papers
- University of Chinese Academy of SciencesCN5 papers
- University of Science and Technology of ChinaCN5 papers
- Centre National de la Recherche ScientifiqueFR4 papers
- Chinese Academy of SciencesCN4 papers
- Guangxi UniversityCN4 papers
- Institute of High Energy PhysicsCN4 papers
- Istituto Nazionale di Fisica Nucleare, Laboratori Nazionali di FrascatiIT4 papers
55 papers
Depolarization Induced by Rapid Polarization Angle Swings: A Common Feature of Pulsars and Fast Radio Bursts?
Yu-Chen Huang, Jie-Shuang Wang, Song-Bo Zhang +1
The polarization angle (PA) of pulsars and fast radio bursts (FRBs) provides a useful diagnostic of the magnetic fields in their emission regions and is therefore crucial for under…
A Kagome-Derived Mosaic Lattice Family A3V9Te13 (A = Cs, Rb) with Tunable Strong Electronic Correlations
Yusen Xiao, Zhibin Qiu, Qingchen Duan +5
The pursuit of geometrically frustrated lattices beyond conventional paradigms remains a central challenge in the design of quantum materials. Herein, we report the discovery of th…
The Jiao Tong University Spectroscopic Telescope Project
JUST Team, Chengze Liu, Ying Zu +28
The Jiao Tong University Spectroscopic Telescope (JUST) is a 4.4-meter f/6.0 segmentedmirror telescope dedicated to spectroscopic observations. The JUST primary mirror is composed…
Understanding the Initial Condensation of Convolutional Neural Networks
Zhangchen Zhou, Hanxu Zhou, Yuqing Li +1
Previous research has shown that fully-connected networks with small initialization and gradient-based training methods exhibit a phenomenon known as condensation during training.…
Phase Diagram of Initial Condensation for Two-layer Neural Networks
Zhengan Chen, Yuqing Li, Tao Luo +2
The phenomenon of distinct behaviors exhibited by neural networks under varying scales of initialization remains an enigma in deep learning research. In this paper, based on the ea…
Implementation and performances of the IPbus protocol for the JUNO Large-PMT readout electronics
Riccardo Triozzi, Andrea Serafini, Marco Bellato +129
The Jiangmen Underground Neutrino Observatory (JUNO) is a large neutrino detector currently under construction in China. Thanks to the tight requirements on its optical and radio-p…
Mass testing of the JUNO experiment 20-inch PMTs readout electronics
Alberto Coppi, Beatrice Jelmini, Marco Bellato +129
The Jiangmen Underground Neutrino Observatory (JUNO) is a multi-purpose, large size, liquid scintillator experiment under construction in China. JUNO will perform leading measureme…
Search for light dark matter from atmosphere in PandaX-4T
Xuyang Ning, Abdusalam Abdukerim, Zihao Bo +92
We report a search for light dark matter produced through the cascading decay of mesons, which are created as a result of inelastic collisions between cosmic rays and Earth's a…
Validation and integration tests of the JUNO 20-inch PMTs readout electronics
Vanessa Cerrone, Katharina von Sturm, Marco Bellato +127
The Jiangmen Underground Neutrino Observatory (JUNO) is a large neutrino detector currently under construction in China. JUNO will be able to study the neutrino mass ordering and t…
Gamma/Hadron Separation with the HAWC Observatory
R. Alfaro, C. Alvarez, J. D. Álvarez +90
The High Altitude Water Cherenkov (HAWC) gamma-ray observatory observes atmospheric showers produced by incident gamma rays and cosmic rays with energy from 300 GeV to more than 10…
A search for two-component Majorana dark matter in a simplified model using the full exposure data of PandaX-II experiment
Ying Yuan, Abdusalam Abdukerim, Zihao Bo +75
In the two-component Majorana dark matter model, one dark matter particle can scatter off the target nuclei, and turn into a slightly heavier component. In the framework of a simpl…
Sub-percent Precision Measurement of Neutrino Oscillation Parameters with JUNO
JUNO Collaboration, Angel Abusleme, Thomas Adam +596
JUNO is a multi-purpose neutrino observatory under construction in the south of China. This publication presents new sensitivity estimates for the measurement of the , $…
Tau Neutrinos in the Next Decade: from GeV to EeV
Roshan Mammen Abraham, Jaime Alvarez-Muñiz, Carlos A. Argüelles +63
Tau neutrinos are the least studied particle in the Standard Model. This whitepaper discusses the current and expected upcoming status of tau neutrino physics with attention to the…
Numerical study on viscous fingering using electric fields in a Hele-Shaw cell
Meng Zhao, Pedro Anjos, John Lowengrub +2
We investigate the nonlinear dynamics of a moving interface in a Hele-Shaw cell subject to an in-plane applied electric field. We develop a spectrally accurate boundary integral me…
MOD-Net: A Machine Learning Approach via Model-Operator-Data Network for Solving PDEs
Lulu Zhang, Tao Luo, Yaoyu Zhang +3
In this paper, we propose a a machine learning approach via model-operator-data network (MOD-Net) for solving PDEs. A MOD-Net is driven by a model to solve PDEs based on operator r…
Swift Two-sample Test on High-dimensional Neural Spiking Data
Zhi-Qin John Xu, Douglas Zhou, David Cai
To understand how neural networks process information, it is important to investigate how neural network dynamics varies with respect to different stimuli. One challenging task is…
Distributed Inference for Linear Support Vector Machine
Xiaozhou Wang, Zhuoyi Yang, Xi Chen +1
The growing size of modern data brings many new challenges to existing statistical inference methodologies and theories, and calls for the development of distributed inferential ap…
A weight-bounded importance sampling method for variance reduction
Tengchao Yu, Linjun Lu, Jinglai Li
Importance sampling (IS) is an important technique to reduce the estimation variance in Monte Carlo simulations. In many practical problems, however, the use of IS method may resul…
Accurate front capturing asymptotic preserving scheme for nonlinear gray radiative transfer equation
Min Tang, Li Wang, Xiaojiang Zhang
We develop an asymptotic preserving scheme for the gray radiative transfer equation. Two asymptotic regimes are considered: one is a diffusive regime described by a nonlinear diffu…
Nucleon Transversity Distribution at the Physical Pion Mass from Lattice QCD
Yu-Sheng Liu, Jiunn-Wei Chen, Luchang Jin +5
We report a state-of-the-art lattice calculation of the isovector quark transversity distribution of the proton at the physical pion mass. Within the framework of large-momentum ef…
Numerical study of ergodicity for the overdamped Generalized Langevin Equation with fractional noise
Di Fang, Lei Li
The Generalized Langevin Equation, in history, arises as a natural fix for the rather traditional Langevin equation when the random force is no longer memoryless. It has been prove…
Asymptotic-preserving schemes for two-species binary collisional kinetic system with disparate masses I: time discretization and asymptotic analysis
Irene M. Gamba, Shi Jin, Liu Liu
We develop efficient asymptotic-preserving time discretization schemes to solve the disparate mass kinetic system of a binary gas or plasma in the "relaxation time scale" relevant…
A defensive marginal particle filtering method for data assimilation
Linjie Wen, Jiangqi Wu, Linjun Lu +1
Particle filtering (PF) is an often used method to estimate the states of dynamical systems. A major limitation of the standard PF method is that the dimensionality of the state sp…
Large time behaviors of upwind schemes by jump processes
Lei Li, Jian-Guo Liu
We revisit the traditional upwind schemes for linear conservation laws in the viewpoint of jump processes, allowing studying upwind schemes using probabilistic tools. In particular…