Computer physics /:
Gespeichert in:
| Weitere Verfasser: | , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Hauppauge, N.Y. :
Nova Science Publishers,
©2011.
|
| Schriftenreihe: | Physics research and technology.
|
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Beschreibung: | Includes index. |
| Beschreibung: | 1 online resource (ix, 338 pages) : color illustrations |
| ISBN: | 9781613249055 1613249055 |
Internformat
MARC
| LEADER | 00000cam a2200000 a 4500 | ||
|---|---|---|---|
| 001 | ZDB-4-EBA-ocn828868943 | ||
| 003 | OCoLC | ||
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| 008 | 130304s2011 nyua o 001 0 eng d | ||
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| 245 | 0 | 0 | |a Computer physics / |c editors, Brian S. Doherty and Amy N. Molloy. |
| 260 | |a Hauppauge, N.Y. : |b Nova Science Publishers, |c ©2011. | ||
| 300 | |a 1 online resource (ix, 338 pages) : |b color illustrations | ||
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| 337 | |a computer |b c |2 rdamedia | ||
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| 490 | 1 | |a Physics Research and Technology | |
| 500 | |a Includes index. | ||
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| 505 | 0 | |a ""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"" | |
| 505 | 8 | |a 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 | |
| 505 | 8 | |a ""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"" | |
| 505 | 8 | |a 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 | |
| 505 | 8 | |a 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 | |
| 650 | 0 | |a Nuclear physics |x Data processing. | |
| 650 | 6 | |a Physique nucléaire |x Informatique. | |
| 650 | 7 | |a SCIENCE |x Physics |x Nuclear. |2 bisacsh | |
| 650 | 7 | |a Nuclear physics |x Data processing |2 fast | |
| 700 | 1 | |a Doherty, Brian S. | |
| 700 | 1 | |a Molloy, Amy N. | |
| 776 | 0 | 8 | |i Print version: |t Computer physics. |d Hauppauge, N.Y. : Nova Science Publishers, ©2011 |z 9781613247907 |w (DLC) 2011017295 |w (OCoLC)714731603 |
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Datensatz im Suchindex
| DE-BY-FWS_katkey | ZDB-4-EBA-ocn828868943 |
|---|---|
| _version_ | 1816882223719120896 |
| adam_text | |
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| author2 | Doherty, Brian S. Molloy, Amy N. |
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| author_facet | Doherty, Brian S. Molloy, Amy N. |
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| callnumber-first | Q - Science |
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| callnumber-search | QC783.3 .C655 2011eb |
| callnumber-sort | QC 3783.3 C655 42011EB |
| callnumber-subject | QC - Physics |
| collection | ZDB-4-EBA |
| 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"" 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 ""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"" 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 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 |
| ctrlnum | (OCoLC)828868943 |
| dewey-full | 539.70285 |
| dewey-hundreds | 500 - Natural sciences and mathematics |
| dewey-ones | 539 - Modern physics |
| dewey-raw | 539.70285 |
| dewey-search | 539.70285 |
| dewey-sort | 3539.70285 |
| dewey-tens | 530 - Physics |
| discipline | Physik |
| format | Electronic eBook |
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| id | ZDB-4-EBA-ocn828868943 |
| illustrated | Illustrated |
| indexdate | 2024-11-27T13:25:12Z |
| institution | BVB |
| isbn | 9781613249055 1613249055 |
| language | English |
| oclc_num | 828868943 |
| open_access_boolean | |
| owner | MAIN DE-863 DE-BY-FWS |
| owner_facet | MAIN DE-863 DE-BY-FWS |
| physical | 1 online resource (ix, 338 pages) : color illustrations |
| psigel | ZDB-4-EBA |
| publishDate | 2011 |
| publishDateSearch | 2011 |
| publishDateSort | 2011 |
| publisher | Nova Science Publishers, |
| record_format | marc |
| series | Physics research and technology. |
| series2 | Physics Research and Technology |
| spelling | Computer physics / editors, Brian S. Doherty and Amy N. Molloy. Hauppauge, N.Y. : Nova Science Publishers, ©2011. 1 online resource (ix, 338 pages) : color illustrations text txt rdacontent computer c rdamedia online resource cr rdacarrier Physics Research and Technology Includes index. Print version record. ""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"" 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 ""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"" 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 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 Nuclear physics Data processing. Physique nucléaire Informatique. SCIENCE Physics Nuclear. bisacsh Nuclear physics Data processing fast Doherty, Brian S. Molloy, Amy N. Print version: Computer physics. Hauppauge, N.Y. : Nova Science Publishers, ©2011 9781613247907 (DLC) 2011017295 (OCoLC)714731603 Physics research and technology. http://id.loc.gov/authorities/names/no2011035503 FWS01 ZDB-4-EBA FWS_PDA_EBA https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=535054 Volltext |
| spellingShingle | Computer physics / Physics research and technology. ""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"" 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 ""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"" 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 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 Nuclear physics Data processing. Physique nucléaire Informatique. SCIENCE Physics Nuclear. bisacsh Nuclear physics Data processing fast |
| title | Computer physics / |
| title_auth | Computer physics / |
| title_exact_search | Computer physics / |
| title_full | Computer physics / editors, Brian S. Doherty and Amy N. Molloy. |
| title_fullStr | Computer physics / editors, Brian S. Doherty and Amy N. Molloy. |
| title_full_unstemmed | Computer physics / editors, Brian S. Doherty and Amy N. Molloy. |
| title_short | Computer physics / |
| title_sort | computer physics |
| topic | Nuclear physics Data processing. Physique nucléaire Informatique. SCIENCE Physics Nuclear. bisacsh Nuclear physics Data processing fast |
| topic_facet | Nuclear physics Data processing. Physique nucléaire Informatique. SCIENCE Physics Nuclear. Nuclear physics Data processing |
| url | https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=535054 |
| work_keys_str_mv | AT dohertybrians computerphysics AT molloyamyn computerphysics |