A5003473148- Nuclear physics research studies
- Nuclear Physics and Applications
- Radiation Therapy and Dosimetry
- Remote-Sensing Image Classification
- Atomic and Molecular Physics
- Particle physics theoretical and experimental studies
- Quantum Chromodynamics and Particle Interactions
- Nuclear reactor physics and engineering
- Radio Wave Propagation Studies
- Advanced Image and Video Retrieval Techniques
- Optical Wireless Communication Technologies
- Advanced Neural Network Applications
- Video Surveillance and Tracking Methods
- Radiation Effects in Electronics
- Anomaly Detection Techniques and Applications
- Geochemistry and Geologic Mapping
- Gait Recognition and Analysis
- Geographic Information Systems Studies
- X-ray Spectroscopy and Fluorescence Analysis
- Astronomical and nuclear sciences
- Internet of Things and Social Network Interactions
- Underwater Vehicles and Communication Systems
- Particle Accelerators and Free-Electron Lasers
- Neutrino Physics Research
- Particle accelerators and beam dynamics
Chinese Academy of Sciences
2012-2024
Aerospace Information Research Institute
2024
China University of Mining and Technology
2024
University of Chinese Academy of Sciences
2013-2024
Xidian University
2024
Institute of Modern Physics
2012-2022
Indian Institute of Technology Madras
2022
Institute of Subtropical Agriculture
2017
Fudan University
2013
The foundation model has recently garnered significant attention due to its potential revolutionize the field of visual representation learning in a self-supervised manner. While most models are tailored effectively process RGB images for various tasks, there is noticeable gap research focused on spectral data, which offers valuable information scene understanding, especially remote sensing (RS) applications. To fill this gap, we created first time universal RS model, named SpectralGPT,...
Recent research on remote sensing object detection has largely focused improving the representation of oriented bounding boxes but overlooked unique prior knowledge presented in scenarios. Such can be useful because tiny objects may mistakenly detected without referencing a sufficiently long-range context, and context required by different types vary. In this paper, we take these priors into account propose Large Selective Kernel Network (LSKNet). LSKNet dynamically adjust its large spatial...
While witnessed with rapid development, remote sensing object detection remains challenging for detecting high aspect ratio objects. This paper shows that large strip convolutions are good feature representation learners and can detect objects of various ratios well. Based on convolutions, we build a new network architecture called Strip R-CNN, which is simple, efficient, powerful. Unlike recent detectors leverage large-kernel square shapes, our R-CNN takes advantage sequential orthogonal to...
The β-delayed two-proton emission from 22Al was investigated experimentally through the implantation-decay method. A decay branch were identified based on coincidence of charged particles and γ-ray signals. relative momentum (qpp) opening angle (θpp) distributions two protons are measured a strong peak at qpp∼20MeV/c, as well θpp∼30∘ observed clearly. 2He with probability 29 (13)% by fitting experimental data results Monte Carlo simulations.
Remote sensing images pose distinct challenges for downstream tasks due to their inherent complexity. While a considerable amount of research has been dedicated remote classification, object detection and semantic segmentation, most these studies have overlooked the valuable prior knowledge embedded within scenarios. Such can be useful because objects may mistakenly recognized without referencing sufficiently long-range context, which vary different objects. This paper considers priors...
By using an antisymmetrized molecular dynamics model (AMD), the data of kinematically complete events are compared with experimental INDRA through nuclear stopping in $\text{Xe}+\text{Sn}$ collisions at 10 to $100A$ MeV. The sensitivity is studied interactions different equations state (EOSs) (soft and stiff) in-medium $NN$ cross sections energy domains. Above $25A$ MeV, both EOSs can affect stopping, but none these parameters used AMD reproduce 20 $30A$ On other hand, below not sensitive...
Beam monitoring system in heavy ion therapy facilities ensures the beam energy deposition can accurately cover dedicated tumour region. For purpose of building a high-precision system, Monolithic Active Pixel Sensor (MAPS) is under development. The charge sensing node MAPS formed by an n-well −p− epitaxial layer junction and it collects drift diffusion. In order to optimize performance node, depletion region, diode capacitance, collection efficiency time have been studied with TCAD...
In this paper, we derive a general and exact closed-form expression of scintillation index (SI) for Gaussian beam propagating through weak oceanic turbulence, based on the turbulence optical power spectrum (OTOPS) Rytov theory. Our universal not only includes existing variances but also accounts actual cases where Kolmogorov microscale is non-zero. The correctness accuracy our derivation are verified comparison with published work under identical conditions. By utilizing derived expressions,...
Subbarrier fusion of the 7Li + 12C reaction is studied using an antisymmetrized molecular dynamics model (AMD) with after burner, GEMINI. In AMD, shows \alpha t structure at its ground state and it significantly deformed. Simulations are made near Coulomb barrier energies, i.e., E_{cm} = 3 - 8 MeV. The total cross section AMD GEMINI calculations as a function incident energy compared to experimental results both in good agreement > for different residue channels 5 MeV also results.
We report on a search for heavy Majorana neutrino in the decays τ^{-}→π^{-}ν_{h}, ν_{h}→π^{±}ℓ^{∓}, ℓ=e, μ. The results are obtained using full data sample of 988 fb^{-1} collected with Belle detector at KEKB asymmetric energy e^{+}e^{-} collider, which contains 912×10^{6} ττ pairs. observe no significant signal and set 95% CL upper limits couplings right-handed neutrinos to conventional standard model left-handed mass range 0.2-1.6 GeV/c^{2}. This is first study mixed τ leptons light-flavor leptons.