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- Wuhan UniversityCN21 papers
- Wuhan University of TechnologyCN10 papers
- Chinese Academy of SciencesCN9 papers
- Central China Normal UniversityCN7 papers
- Huazhong University of Science and TechnologyCN7 papers
- Institute of High Energy PhysicsCN6 papers
- Wuhan Institute of Physics and MathematicsCN4 papers
- Carleton UniversityCA3 papers
- CEA Paris-SaclayFR3 papers
- Commissariat à l'Énergie Atomique et aux Énergies AlternativesFR3 papers
- Hiroshima UniversityJP3 papers
- Hubei Normal UniversityCN3 papers
5 papers · 1 filter
Analytical expressions of non-relativistic static polarizabilities for hydrogen-like ions
Xuesong Mei, Wanping Zhou, Haoxue Qiao
In this work, analytical formulas for the static multipole polarizabilities of hydrogen-like ions are derived by using the analytical wave functions and the reduced Green function…
Constraining Chaplygin models using diffuse supernova neutrino background
Nan Yang, Junji Jia, Xionghui Liu +1
In this work, we examine the possibility of using the diffuse supernova neutrino background (DSNB) to test the Chaplygin gas (CG) models of the Universe. With a typical supernova r…
Escape, bound and capture geodesics in local static coordinates in Schwarzschild spacetime
Yaoguang Wang, Xionghui Liu, Nan Yang +2
The classical geodesics of timelike particles in Schwarzschild spacetime is analyzed according to the particle starting radius , velocity and angle against the radial ou…
Initial state radiation correction and its effect to data-taking scheme for measurement
Shuang Han, Gang Li, Xiang Zhou +1
The measurement of Born cross section of process is one of the major goals of the future Circular Electron Positron Collider, which may reach a precision of 0.5%. Su…
Timing and characterization of shaped pulses with MHz ADCs in a detector system: a comparative study and deep learning approach
Pengcheng Ai, Dong Wang, Guangming Huang +3
Timing systems based on Analog-to-Digital Converters are widely used in the design of previous high energy physics detectors. In this paper, we propose a new method based on deep l…