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1. |
Record Nr. |
UNINA9910300548903321 |
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Autore |
Jörg Philipp |
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Titolo |
Exploring the Size of the Proton : by Means of Deeply Virtual Compton Scattering at CERN / / by Philipp Jörg |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 |
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ISBN |
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Edizione |
[1st ed. 2018.] |
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Descrizione fisica |
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1 online resource (XI, 230 p. 155 illus., 121 illus. in color.) |
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Collana |
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Springer Theses, Recognizing Outstanding Ph.D. Research, , 2190-5053 |
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Disciplina |
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Soggetti |
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Nuclear physics |
Heavy ions |
Mathematical physics |
Nuclear Physics, Heavy Ions, Hadrons |
Theoretical, Mathematical and Computational Physics |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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Introduction -- Theory -- The COMPASS-II Experiment -- The Kinematically Constrained Fit -- The 2012 DVCS Data -- Event Selection and Simulations -- The Cross Section and its t-Dependence -- Summary. |
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Sommario/riassunto |
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This book is a rare jewel, describing fundamental research in a highly dynamic field of subatomic physics. It presents an overview of cross section measurements of deeply virtual Compton scattering. Understanding the structure of the proton is one of the most important challenges that physics faces today. A typical tool for experimentally accessing the internal structure of the proton is lepton–nucleon scattering. In particular, deeply virtual Compton scattering at large photon virtuality and small four-momentum transfer to the proton provides a tool for deriving a three-dimensional tomographic image of the proton. Using clear language, this book presents the highly complex procedure used to derive the momentum-dissected transverse size of the proton from a pioneering measurement taken at CERN. It describes in detail the foundations of the measurement and the data analysis, and includes exhaustive studies of potential systematic |
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uncertainties, which could bias the result. |
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2. |
Record Nr. |
UNINA9910483493003321 |
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Autore |
Lu Xinzheng |
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Titolo |
Earthquake Disaster Simulation of Civil Infrastructures : From Tall Buildings to Urban Areas / / by Xinzheng Lu, Hong Guan |
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Pubbl/distr/stampa |
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Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2021 |
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ISBN |
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Edizione |
[2nd ed. 2021.] |
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Descrizione fisica |
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1 online resource (XXVI, 934 p. 789 illus., 644 illus. in color.) |
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Disciplina |
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Soggetti |
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Civil engineering |
Buildings - Design and construction |
Natural disasters |
Civil Engineering |
Building Construction and Design |
Natural Hazards |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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Introduction -- High fidelity Computational Models for Earthquake Disaster Simulation of Tall Buildings.-Earthquake Disaster Simulation of Typical Supertall Buildings -- Comparison of Seismic Design and Resilience of Tall Buildings based on Chinese and US Design Codes -- Simplified Models for Earthquake Disaster Simulation of Supertall Buildings -- Seismic Resilient Outriggers and Multi-hazard Resilient Frames -- Building Models for City-scale Nonlinear Time-history Analyses -- Regional Seismic Loss Estimation of Buildings -- Visualization and High-performance Computing for City-scale Nonlinear Time-history Analyses -- Fire Following Earthquake and Falling Debris Hazards -- Emergency Response and Post-earthquake Recovery using City-scale Nonlinear Time-history Analysis -- Earthquake Disaster Simulation of Typical Urban Areas -- Conclusions. |
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Sommario/riassunto |
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The first edition of this monograph, presenting accurate and efficient simulations of seismic damage to buildings and cities, has received |
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significant attention from the research community. To keep abreast of the rapid development in recent years, our latest breakthrough achievements have been added to this new edition, including novel resilient structural components, secondary disaster simulations, emergency responses and resilient recovery of communities after earthquake. This edition comprehensively covers a range of numerical modeling approaches, higher performance computation methods, and high fidelity visualization techniques for earthquake disaster simulation of tall buildings and urban areas. It also demonstrates successful engineering applications of the proposed methodologies to typical landmark projects (e.g., Shanghai Tower and CITIC Tower, two of the world's tallest buildings; Beijing CBD and San Francisco Bay Area). Reported in this edition are a collection of about60 high impact journal publications which have already received high citations. |
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