| Description |
1 online resource (ix, 338 pages) : color illustrations |
| Series |
Physics Research and Technology |
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Physics research and technology.
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| Contents |
""COMPUTER PHYSICS""; ""PHYSICS RESEARCH AND TECHNOLOGY""; ""COMPUTER SCIENCE, TECHNOLOGYAND APPLICATIONS""; ""COMPUTER PHYSICS""; ""LIBRARY OF CONGRESS CATALOGING-IN-PUBLICATION DATA""; ""CONTENTS""; ""PREFACE""; ""CHAPTER 1. MULTIDIMENSIONAL EXPERIMENTAL DATAPROCESSING IN NUCLEAR PHYSICS""; ""Abstract""; ""1. Introduction""; ""2. Event Data Sorting""; ""2.1. Introduction""; ""2.2. Sorting of High-Fold Data from Î?-ray Detector Arrays""; ""2.3. Proposed Sorting Methods""; ""2.3.1. Rectangular Window""; ""2.3.2. Polygon""; ""2.3.3. Arithmetic Function""; ""2.3.4. Spherical Gates"" |
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2.3.5. Ellipsoids2.3.6. Composed Gates -- 2.4. Examples and Discussion -- 3. Background Estimation in Spectroscopic Data -- 3.1. Introduction -- 3.2. One-Dimensional Spectra -- 3.2.1. Order of the Clipping Filter -- 3.2.2. Increasing versus Decreasing Clipping Window -- 3.2.3. Background Estimation with Simultaneous Smoothing -- 3.2.4. Background Estimation in Spectra with Non-symmetrical Peaks -- 3.3. Two-Dimensional Spectra -- 3.3.1. Order of the Clipping Filter -- 3.3.2. Background Estimation with Simultaneous Smoothing |
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""3.3.3. Different Widths of Clipping Window""""3.3.4. Skew Ridges""; ""3.3.5. Nonlinear Ridges""; ""3.4. Three-Dimensional Spectra ""; ""3.4.1. Order of the Clipping Filter""; ""3.4.2. Background Estimation with Simultaneous Smoothing""; ""3.5. Four-Dimensional Spectra""; ""3.6. Generalization for N-dimensional Î?-ray Coincidence Spectra""; ""3.6.1. Order of the Clipping Filter""; ""3.6.2. Background Estimation with Simultaneous Smoothing""; ""4. Deconvolution""; ""4.1. Introduction""; ""4.2. Brief Overview of Deconvolution Methods""; ""4.3. Study of Deconvolution Algorithms"" |
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4.4. Boosted Deconvolution4.5. Robustness -- 4.6. Two-Dimensional Spectra -- 4.7. Three-Dimensional Spectra -- 4.8. Linear Time Dependent Systems -- 5. Identification of Spectroscopic Information Carrier Objects -- 5.1. Peak Searching -- 5.1.1. Peak Searching Algorithm Based on Smoothed Second Differences -- a. One-dimensional Spectra -- b. Two-dimensional Spectra -- c. Three and m-dimensional Spectra -- 5.1.2. Peak Searching Algorithm Based on Markov Chain Method -- a. One-dimensional Spectra -- b. Two-Dimensional Spectra -- c. Three-Dimensional Spectra |
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D. M-dimensional Spectra5.1.3. Deconvolution Based Peak Searching Algorithms -- a. One-Dimensional Spectra -- b. Two-Dimensional Spectra -- c. Sigma Range Peak Search -- 5.2. Identification of Isotope Lines in Two-Dimensional Spectra of NuclearMultifragmentation -- 5.2.1. Proposal of the Algorithm -- 5.2.2. Discussion and Results -- 5.3. Identification of Rings in Spectra from RICH Detectors [91] -- 5.3.1. Proposal of the Algorithm -- 5.3.2. Study and Properties of the Algorithm -- 6. Fitting -- 6.1. Introduction |
| Notes |
Includes index |
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Print version record |
| Subject |
Nuclear physics -- Data processing
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SCIENCE -- Physics -- Nuclear.
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Nuclear physics -- Data processing
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| Form |
Electronic book
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| Author |
Doherty, Brian S
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Molloy, Amy N
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| ISBN |
9781613249055 |
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1613249055 |
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