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Your search keyword '"Li, Hai-bo"' showing total 432 results
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432 results on '"Li, Hai-bo"'

1. Recent Progress in Leptonic and Semileptonic Decays of Charmed Hadrons

Author

Ke, Bai-Cian, Koponen, Jonna, Li, Hai-Bo, and Zheng, Yangheng

Subjects
High Energy Physics - Experiment, High Energy Physics - Lattice, High Energy Physics - Phenomenology
Abstract

We present a comprehensive review of purely leptonic and semileptonic decays of $D^{0(+)}$, $D_s^{+}$, and charmed baryons (including $\Lambda_c^{+}$, $\Xi_c$ and $\Omega_c$). The precise studies of these decays help deepen our understanding and knowledge of quantum chromodynamics via measuring decay constants and form factors, and test the Standard Model through examining the unitarity of Cabibbo-Kobayashi-Maskawa matrix and lepton flavor universality. We give an overview of the theoretical and experimental tools before discussing the recent progress. The data sets collected by BESIII near the production thresholds of $D\bar{D}$, $D_s^{(*)+}D_s^{(*)-}$ and $\Lambda_c^{+}\bar{\Lambda}_c^{-}$ offer important opportunities for studies of charm physics., Comment: 24 pages, 10 figures

Published
2023
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6. 50 Years of Quantum Chromodynamics

Author

Gross, Franz, Klempt, Eberhard, Brodsky, Stanley J., Buras, Andrzej J., Burkert, Volker D., Heinrich, Gudrun, Jakobs, Karl, Meyer, Curtis A., Orginos, Kostas, Strickland, Michael, Stachel, Johanna, Zanderighi, Giulia, Brambilla, Nora, Braun-Munzinger, Peter, Britzger, Daniel, Capstick, Simon, Cohen, Tom, Crede, Volker, Constantinou, Martha, Davies, Christine, Del Debbio, Luigi, Denig, Achim, DeTar, Carleton, Deur, Alexandre, Dokshitzer, Yuri, Dosch, Hans Günter, Dudek, Jozef, Dunford, Monica, Epelbaum, Evgeny, Escobedo, Miguel A., Fritzsch, Harald, Fukushima, Kenji, Gambino, Paolo, Gillberg, Dag, Gottlieb, Steven, Grafstrom, Per, Grazzini, Massimiliano, Grube, Boris, Guskov, Alexey, Iijima, Toru, Ji, Xiangdong, Karsch, Frithjof, Kluth, Stefan, Kogut, John B., Krauss, Frank, Kumano, Shunzo, Leinweber, Derek, Leutwyler, Heinrich, Li, Hai-Bo, Li, Yang, Malaescu, Bogdan, Mariotti, Chiara, Maris, Pieter, Marzani, Simone, Melnitchouk, Wally, Messchendorp, Johan, Meyer, Harvey, Mitchell, Ryan Edward, Mondal, Chandan, Nerling, Frank, Neubert, Sebastian, Pappagallo, Marco, Pastore, Saori, Peláez, José R., Puckett, Andrew, Qiu, Jianwei, Rabbertz, Klaus, Ramos, Alberto, Rossi, Patrizia, Rustamov, Anar, Schäfer, Andreas, Scherer, Stefan, Schindler, Matthias, Schramm, Steven, Shifman, Mikhail, Shuryak, Edward, Sjöstrand, Torbjörn, Sterman, George, Stewart, Iain W., Stroth, Joachim, Swanson, Eric, de Téramond, Guy F., Thoma, Ulrike, Vairo, Antonio, van Dyk, Danny, Vary, James, Virto, Javier, Vos, Marcel, Weiss, Christian, Wobisch, Markus, Wu, Sau Lan, Young, Christopher, Yuan, Feng, Zhao, Xingbo, and Zhou, Xiaorong

Subjects
High Energy Physics - Phenomenology, High Energy Physics - Experiment, High Energy Physics - Lattice, High Energy Physics - Theory
Abstract

This paper presents a comprehensive review of both the theory and experimental successes of Quantum Chromodynamics, starting with its emergence as a well defined theory in 1972-73 and following developments and results up to the present day. Topics include a review of the earliest theoretical and experimental foundations; the fundamental constants of QCD; an introductory discussion of lattice QCD, the only known method for obtaining exact predictions from QCD; methods for approximating QCD, with special focus on effective field theories; QCD under extreme conditions; measurements and predictions of meson and baryon states; a special discussion of the structure of the nucleon; techniques for study of QCD at high energy, including treatment of jets and showers; measurements at colliders; weak decays and quark mixing; and a section on the future, which discusses new experimental facilities or upgrades currently funded. The paper is intended to provide a broad background for Ph.D. students and postdocs starting their career. Some contributions include personal accounts of how the ideas or experiments were developed., Comment: Invited volume for the EJPC; 567 pages if text/figures and 4783 references occupying about 160 additional pages. arXiv abstract abridged, for the complete abstract please see the full text

Published
2022
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29. Robust Landslide Recognition Using UAV Datasets: A Case Study in Baihetan Reservoir.

Author

Li, Zhi-Hai, Shi, An-Chi, Xiao, Huai-Xian, Niu, Zi-Hao, Jiang, Nan, Li, Hai-Bo, and Hu, Yu-Xiang

Subjects
DEEP learning, LANDSLIDES, SEMANTICS, BLUEPRINTS
Abstract

The task of landslide recognition focuses on extracting the location and extent of landslides over large areas, providing ample data support for subsequent landslide research. This study explores the use of UAV and deep learning technologies to achieve robust landslide recognition in a more rational, simpler, and faster manner. Specifically, the widely successful DeepLabV3+ model was used as a blueprint and a dual-encoder design was introduced to reconstruct a novel semantic segmentation model consisting of Encoder1, Encoder2, Mixer and Decoder modules. This model, named DeepLab for Landslide (DeepLab4LS), considers topographic information as a supplement to DeepLabV3+, and is expected to improve the efficiency of landslide recognition by extracting shape information from relative elevation, slope, and hillshade. Additionally, a novel loss function term—Positive Enhanced loss (PE loss)—was incorporated into the training of DeepLab4LS, significantly enhancing its ability to understand positive samples. DeepLab4LS was then applied to a UAV dataset of Baihetan reservoir, where comparative tests demonstrated its high performance in landslide recognition tasks. We found that DeepLab4LS has a stronger inference capability for landslides with less distinct boundary information, and delineates landslide boundaries more precisely. More specifically, in terms of evaluation metrics, DeepLab4LS achieved a mean intersection over union (mIoU) of 76.0% on the validation set, which is a substantial 5.5 percentage point improvement over DeepLabV3+. Moreover, the study also validated the rationale behind the dual-encoder design and the introduction of PE loss through ablation experiments. Overall, this research presents a robust semantic segmentation model for landslide recognition that considers both optical and topographic semantics of landslides, emulating the recognition pathways of human experts, and is highly suitable for landslide recognition based on UAV datasets. [ABSTRACT FROM AUTHOR]

Published
2024
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40. Structural identification of single boron-doped graphdiynes by computational XPS and NEXAFS spectroscopy.

Author

Li, Hai-Bo, Zhang, Jun-Rong, Song, Xiu-Neng, Wang, Chuan-Kui, Hua, Weijie, and Ma, Yong

Abstract

Boron-doped graphdiyne (B-GDY) material exhibits an excellent performance in electrocatalysis, ion transport, and energy storage. However, accurately identifying the structures of B-GDY in experiments remains a challenge, hindering further selection of suitable structures with the most ideal performance for various practical applications. In the present work, we employed density functional theory (DFT) to simulate the X-ray photoelectron spectra (XPS) and near-edge X-ray absorption fine-structure (NEXAFS) spectra of pristine graphdiyne (GDY) and six representative single boron-doped graphdiynes at the B and C K-edges to establish the structure–spectroscopy relationship. A notable disparity in the C 1s ionization potentials (IPs) between substituted and adsorbed structures is observed upon doping with a boron atom. By analyzing the C and B 1s NEXAFS spectra on energy positions, spectral widths, spectral intensities, and different spectral profiles, we found that the six single boron-doped graphdiyne configurations can be sensitively identified. Moreover, this study provides a reliable theoretical reference for distinguishing different single boron-doped graphdiyne structures, enabling accurate selection of B-GDY structures for diverse practical applications. [ABSTRACT FROM AUTHOR]

Published
2024
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