Science :: image in action : proceedings of the 7th International Workshop Data Analysis in Astronomy "Livio Scarsi and Vito Digesu", Erice, Sicily, Italy, 15-21 April 2011 /
The book gathers articles that were exposed during the seventh edition of the Workshop "Data Analysis in Astronomy". It illustrates a current trend to search for common expressions or models transcending usual disciplines, possibly associated with some lack in the Mathematics required to m...
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| Format: | Elektronisch Tagungsbericht E-Book |
| Sprache: | English |
| Veröffentlicht: |
Singapore :
World Scientific Pub. Co.,
2012.
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| Schriftenreihe: | Science and culture series (Singapore). Astrophysics.
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| Schlagworte: | |
| Online-Zugang: | Volltext |
| Zusammenfassung: | The book gathers articles that were exposed during the seventh edition of the Workshop "Data Analysis in Astronomy". It illustrates a current trend to search for common expressions or models transcending usual disciplines, possibly associated with some lack in the Mathematics required to model complex systems. In that, data analysis would be at the epicentre and a key facilitator of some current integrative phase of Science. It is all devoted to the question of "representation in Science", whence its name, IMAGe IN AcTION, and main thrusts. Part A: Information: data organization and communication, Part B: System: structure and behaviour, Part C: Data - System representation. Such a classification makes concepts as "complexity" or "dynamics" appear like transverse notions: a measure among others or a dimensional feature among others. Part A broadly discusses a dialogue between experiments and information, be information extracted-from or brought-to experiments. The concept is fundamental in statistics and tailors to the emergence of collective behaviours. Communication then asks for uncertainty considerations - noise, indeterminacy or approximation - and its wider impact on the couple perception-action. Clustering being all about uncertainty handling, data set representation appears not to be the only solution: Introducing hierarchies with adapted metrics, a priori pre-improving the data resolution are other methods in need of evaluation. The technology together with increasing semantics enables to involve synthetic data as simulation results for the multiplication of sources. Part B plays with another couple important for complex systems: state vs. transition. State-first descriptions would characterize physics, while transition-first would fit biology. That could stem from life producing dynamical systems in essence. Uncertainty joining causality here, geometry can bring answers: stable patterns in the state space involve constraints from some dynamics consistency. Stable patterns of activity characterize biological systems too. In the living world, the complexity - i.e. a global measure on both states and transitions - increases with consciousness: this might be a principle of evolution. Beside geometry or measures, operators and topology have supporters for reporting on dynamical systems. Eventually targeting universality, the category theory of topological thermodynamics is proposed as a foundation of dynamical system understanding. Part C details examples of actual data-system relations in regards to explicit applications and experiments. It shows how pure computer display and animation techniques link models and representations to "reality" in some "concrete" virtual, manner. Such techniques are inspired from artificial life, with no connection to physical, biological or physiological phenomena! The Virtual Observatory is the second illustration of the evidence that simulation helps Science not only in giving access to more flexible parameter variability, but also due to the associated data and method storing-capabilities. It fosters interoperability, statistics on bulky corpuses, efficient data mining possibly through the web etc. in short a reuse of resources in general, including novel ideas and competencies. Other examples deal more classically with inverse modelling and reconstruction, involving Bayesian techniques or chaos but also fractal and symmetry. |
| Beschreibung: | 1 online resource (xxiii, 303 pages) : illustrations (some color), portrait. |
| Bibliographie: | Includes bibliographical references and index. |
| ISBN: | 9789814383295 9814383295 |
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| 520 | |a The book gathers articles that were exposed during the seventh edition of the Workshop "Data Analysis in Astronomy". It illustrates a current trend to search for common expressions or models transcending usual disciplines, possibly associated with some lack in the Mathematics required to model complex systems. In that, data analysis would be at the epicentre and a key facilitator of some current integrative phase of Science. It is all devoted to the question of "representation in Science", whence its name, IMAGe IN AcTION, and main thrusts. Part A: Information: data organization and communication, Part B: System: structure and behaviour, Part C: Data - System representation. Such a classification makes concepts as "complexity" or "dynamics" appear like transverse notions: a measure among others or a dimensional feature among others. Part A broadly discusses a dialogue between experiments and information, be information extracted-from or brought-to experiments. The concept is fundamental in statistics and tailors to the emergence of collective behaviours. Communication then asks for uncertainty considerations - noise, indeterminacy or approximation - and its wider impact on the couple perception-action. Clustering being all about uncertainty handling, data set representation appears not to be the only solution: Introducing hierarchies with adapted metrics, a priori pre-improving the data resolution are other methods in need of evaluation. The technology together with increasing semantics enables to involve synthetic data as simulation results for the multiplication of sources. Part B plays with another couple important for complex systems: state vs. transition. State-first descriptions would characterize physics, while transition-first would fit biology. That could stem from life producing dynamical systems in essence. Uncertainty joining causality here, geometry can bring answers: stable patterns in the state space involve constraints from some dynamics consistency. Stable patterns of activity characterize biological systems too. In the living world, the complexity - i.e. a global measure on both states and transitions - increases with consciousness: this might be a principle of evolution. Beside geometry or measures, operators and topology have supporters for reporting on dynamical systems. Eventually targeting universality, the category theory of topological thermodynamics is proposed as a foundation of dynamical system understanding. Part C details examples of actual data-system relations in regards to explicit applications and experiments. It shows how pure computer display and animation techniques link models and representations to "reality" in some "concrete" virtual, manner. Such techniques are inspired from artificial life, with no connection to physical, biological or physiological phenomena! The Virtual Observatory is the second illustration of the evidence that simulation helps Science not only in giving access to more flexible parameter variability, but also due to the associated data and method storing-capabilities. It fosters interoperability, statistics on bulky corpuses, efficient data mining possibly through the web etc. in short a reuse of resources in general, including novel ideas and competencies. Other examples deal more classically with inverse modelling and reconstruction, involving Bayesian techniques or chaos but also fractal and symmetry. | ||
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| contents | pt. A. Information : data organization and communication -- pt. B. System : structure and behaviour -- pt. C. Data/system representation. |
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| id | ZDB-4-EBA-ocn785777966 |
| illustrated | Illustrated |
| indexdate | 2024-11-27T13:18:20Z |
| institution | BVB |
| isbn | 9789814383295 9814383295 |
| language | English |
| oclc_num | 785777966 |
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| physical | 1 online resource (xxiii, 303 pages) : illustrations (some color), portrait. |
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| series | Science and culture series (Singapore). Astrophysics. |
| series2 | Science and culture series. Astrophysics |
| spelling | International Workshop Data Analysis in Astronomy "Livio Scarsi and Vito Digesu" (7th : 2011 : Erice, Italy) Science : image in action : proceedings of the 7th International Workshop Data Analysis in Astronomy "Livio Scarsi and Vito Digesu", Erice, Sicily, Italy, 15-21 April 2011 / edited by Bertrand Zavidovique, Giosuè Lo Bosco. Singapore : World Scientific Pub. Co., 2012. 1 online resource (xxiii, 303 pages) : illustrations (some color), portrait. text txt rdacontent computer c rdamedia online resource cr rdacarrier Science and culture series. Astrophysics Includes bibliographical references and index. pt. A. Information : data organization and communication -- pt. B. System : structure and behaviour -- pt. C. Data/system representation. The book gathers articles that were exposed during the seventh edition of the Workshop "Data Analysis in Astronomy". It illustrates a current trend to search for common expressions or models transcending usual disciplines, possibly associated with some lack in the Mathematics required to model complex systems. In that, data analysis would be at the epicentre and a key facilitator of some current integrative phase of Science. It is all devoted to the question of "representation in Science", whence its name, IMAGe IN AcTION, and main thrusts. Part A: Information: data organization and communication, Part B: System: structure and behaviour, Part C: Data - System representation. Such a classification makes concepts as "complexity" or "dynamics" appear like transverse notions: a measure among others or a dimensional feature among others. Part A broadly discusses a dialogue between experiments and information, be information extracted-from or brought-to experiments. The concept is fundamental in statistics and tailors to the emergence of collective behaviours. Communication then asks for uncertainty considerations - noise, indeterminacy or approximation - and its wider impact on the couple perception-action. Clustering being all about uncertainty handling, data set representation appears not to be the only solution: Introducing hierarchies with adapted metrics, a priori pre-improving the data resolution are other methods in need of evaluation. The technology together with increasing semantics enables to involve synthetic data as simulation results for the multiplication of sources. Part B plays with another couple important for complex systems: state vs. transition. State-first descriptions would characterize physics, while transition-first would fit biology. That could stem from life producing dynamical systems in essence. Uncertainty joining causality here, geometry can bring answers: stable patterns in the state space involve constraints from some dynamics consistency. Stable patterns of activity characterize biological systems too. In the living world, the complexity - i.e. a global measure on both states and transitions - increases with consciousness: this might be a principle of evolution. Beside geometry or measures, operators and topology have supporters for reporting on dynamical systems. Eventually targeting universality, the category theory of topological thermodynamics is proposed as a foundation of dynamical system understanding. Part C details examples of actual data-system relations in regards to explicit applications and experiments. It shows how pure computer display and animation techniques link models and representations to "reality" in some "concrete" virtual, manner. Such techniques are inspired from artificial life, with no connection to physical, biological or physiological phenomena! The Virtual Observatory is the second illustration of the evidence that simulation helps Science not only in giving access to more flexible parameter variability, but also due to the associated data and method storing-capabilities. It fosters interoperability, statistics on bulky corpuses, efficient data mining possibly through the web etc. in short a reuse of resources in general, including novel ideas and competencies. Other examples deal more classically with inverse modelling and reconstruction, involving Bayesian techniques or chaos but also fractal and symmetry. Astronomy Computer simulation Congresses. Astronomy Data processing Congresses. Astronomie Simulation par ordinateur Congrès. NATURE Sky Observation. bisacsh Astronomy Computer simulation fast Astronomy Data processing fast Conference papers and proceedings fast Zavidovique, Bertrand. Lo Bosco, Giosuè. Science and culture series (Singapore). Astrophysics. http://id.loc.gov/authorities/names/no93034594 FWS01 ZDB-4-EBA FWS_PDA_EBA https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=521308 Volltext |
| spellingShingle | Science : image in action : proceedings of the 7th International Workshop Data Analysis in Astronomy "Livio Scarsi and Vito Digesu", Erice, Sicily, Italy, 15-21 April 2011 / Science and culture series (Singapore). Astrophysics. pt. A. Information : data organization and communication -- pt. B. System : structure and behaviour -- pt. C. Data/system representation. Astronomy Computer simulation Congresses. Astronomy Data processing Congresses. Astronomie Simulation par ordinateur Congrès. NATURE Sky Observation. bisacsh Astronomy Computer simulation fast Astronomy Data processing fast |
| title | Science : image in action : proceedings of the 7th International Workshop Data Analysis in Astronomy "Livio Scarsi and Vito Digesu", Erice, Sicily, Italy, 15-21 April 2011 / |
| title_auth | Science : image in action : proceedings of the 7th International Workshop Data Analysis in Astronomy "Livio Scarsi and Vito Digesu", Erice, Sicily, Italy, 15-21 April 2011 / |
| title_exact_search | Science : image in action : proceedings of the 7th International Workshop Data Analysis in Astronomy "Livio Scarsi and Vito Digesu", Erice, Sicily, Italy, 15-21 April 2011 / |
| title_full | Science : image in action : proceedings of the 7th International Workshop Data Analysis in Astronomy "Livio Scarsi and Vito Digesu", Erice, Sicily, Italy, 15-21 April 2011 / edited by Bertrand Zavidovique, Giosuè Lo Bosco. |
| title_fullStr | Science : image in action : proceedings of the 7th International Workshop Data Analysis in Astronomy "Livio Scarsi and Vito Digesu", Erice, Sicily, Italy, 15-21 April 2011 / edited by Bertrand Zavidovique, Giosuè Lo Bosco. |
| title_full_unstemmed | Science : image in action : proceedings of the 7th International Workshop Data Analysis in Astronomy "Livio Scarsi and Vito Digesu", Erice, Sicily, Italy, 15-21 April 2011 / edited by Bertrand Zavidovique, Giosuè Lo Bosco. |
| title_short | Science : |
| title_sort | science image in action proceedings of the 7th international workshop data analysis in astronomy livio scarsi and vito digesu erice sicily italy 15 21 april 2011 |
| title_sub | image in action : proceedings of the 7th International Workshop Data Analysis in Astronomy "Livio Scarsi and Vito Digesu", Erice, Sicily, Italy, 15-21 April 2011 / |
| topic | Astronomy Computer simulation Congresses. Astronomy Data processing Congresses. Astronomie Simulation par ordinateur Congrès. NATURE Sky Observation. bisacsh Astronomy Computer simulation fast Astronomy Data processing fast |
| topic_facet | Astronomy Computer simulation Congresses. Astronomy Data processing Congresses. Astronomie Simulation par ordinateur Congrès. NATURE Sky Observation. Astronomy Computer simulation Astronomy Data processing Conference papers and proceedings |
| url | https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=521308 |
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