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1. |
Record Nr. |
UNISA996465521503316 |
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Titolo |
Advanced Data Mining and Applications [[electronic resource] ] : 12th International Conference, ADMA 2016, Gold Coast, QLD, Australia, December 12-15, 2016, Proceedings / / edited by Jinyan Li, Xue Li, Shuliang Wang, Jianxin Li, Quan Z. Sheng |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 |
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ISBN |
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Edizione |
[1st ed. 2016.] |
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Descrizione fisica |
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1 online resource (XVI, 817 p. 280 illus.) |
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Collana |
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Lecture Notes in Artificial Intelligence ; ; 10086 |
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Disciplina |
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Soggetti |
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Artificial intelligence |
Data mining |
Information storage and retrieval |
Application software |
Database management |
Computer communication systems |
Artificial Intelligence |
Data Mining and Knowledge Discovery |
Information Storage and Retrieval |
Information Systems Applications (incl. Internet) |
Database Management |
Computer Communication Networks |
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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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Note generali |
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Sommario/riassunto |
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This book constitutes the proceedings of the 12th International Conference on Advanced Data Mining and Applications, ADMA 2016, held in Gold Coast, Australia, in December 2016. The 70 papers presented in this volume were carefully reviewed and selected from 105 submissions. The selected papers covered a wide variety of important topics in the area of data mining, including parallel and distributed data mining algorithms, mining on data streams, graph mining, spatial |
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data mining, multimedia data mining, Web mining, the Internet of Things, health informatics, and biomedical data mining. |
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2. |
Record Nr. |
UNINA9910254598003321 |
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Autore |
Zilles Anne |
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Titolo |
Emission of Radio Waves in Particle Showers : Validation of Microscopic Simulations with the SLAC T-510 Experiment and their Potential in the Future Square Kilometre Array / / by Anne Zilles |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 |
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ISBN |
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Edizione |
[1st ed. 2017.] |
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Descrizione fisica |
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1 online resource (142 pages) : illustrations |
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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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Astrophysics |
Physics |
Physical measurements |
Measurement |
Astrophysics and Astroparticles |
Numerical and Computational Physics, Simulation |
Measurement Science and Instrumentation |
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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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Note generali |
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"Doctoral Thesis accepted by the Karlsruher Institute of Technology, Karlsruhe, Germany." |
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Nota di bibliografia |
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Includes bibliographical references at the end of each chapters and index. |
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Nota di contenuto |
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Introduction -- Cosmic Rays -- Modeling of Radio Emission from Particle\Air Showers -- Testing Predictions for Radio Emission from Particle Showers -- Modeling the Radio Emission from a Particle Shower -- Comparison of Microscopic Simulations to Data of the T-510 Experiment -- Detecting Cosmic Rays with SKA1-low -- Conclusions. |
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Sommario/riassunto |
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This thesis offers the first laboratory validation of microscopic simulations of radio emission from particle showers, including a detailed description of the simulation study. It presents a potential future avenue for resolving the mass composition of cosmic rays via |
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radio detection of air showers. Particle showers are created from cascading interactions when high-energy particles collide with matter, e.g. with air in the case of cosmic radiation, or with a particle detector in the case of experiments at CERN. These showers can consist of billions of particles, mostly electrons, positrons and photons. They emit radio waves when the absorbing medium is in a magnetic field, and this radio emission can be used as a novel means of detecting and drawing inferences on the shower and the primary particle. The new method is currently being established in cosmic ray research, where large antenna arrays may soon replace or complement traditional particle detectors. In thi s study, a complete microscopic simulation of a radio-emission experiment conducted at Stanford Linear Accelerator Center (SLAC), Stanford/USA, is performed, and the underlying physical models are validated. The model is subsequently applied to the Square Kilometre Array (SKA) project, which is a large interferometer for radio astronomy. It is demonstrated that the SKA, with some modifications, might also be used for cosmic ray research based on radio detection of high-energy particles from the cosmos. |
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