Data Analysis In Astronomy: Proceedings Of The Fifth Workshop


Book Description

This proceedings volume focuses on new methods of image and signal analysis in a wide range of energies (from radio to gamma ray astronomy) and advanced methodologies regarding problems and solutions in information fusion and retrieval, statistical pattern recognition, vision and advances in computing technology.A special section is devoted to the BeppoSAX mission (Satellite per Astronomia X) launched on April 30 1996, inside a program of the Italian Space Agency (ASI) and the Netherlands Agency for Aerospace Programs (NIVR).




Statistical Challenges in Astronomy


Book Description

Digital sky surveys, high-precision astrometry from satellite data, deep-space data from orbiting telescopes, and the like have all increased the quantity and quality of astronomical data by orders of magnitude per year for several years. Making sense of this wealth of data requires sophisticated statistical techniques. Fortunately, statistical methodologies have similarly made great strides in recent years. Powerful synergies thus emerge when astronomers and statisticians join in examining astrostatistical problems and approaches. The book begins with an historical overview and tutorial articles on basic cosmology for statisticians and the principles of Bayesian analysis for astronomers. As in earlier volumes in this series, research contributions discussing topics in one field are joined with commentary from scholars in the other. Thus, for example, an overview of Bayesian methods for Poissonian data is joined by discussions of planning astronomical observations with optimal efficiency and nested models to deal with instrumental effects. The principal theme for the volume is the statistical methods needed to model fundamental characteristics of the early universe on its largest scales.




Progress In Image Analysis And Processing - Proceedings Of The 5th International Conference


Book Description

This volume contains papers presented at the 5th International Conference on Image Analysis and Processing. It covers the most important topics of current interest in the field, presenting a large collection of recent results achieved by leading academic and industrial research groups from several countries. It contains invited lectures and research papers dealing with theoretical and applicative aspects of Image Processing. It is a valuable and updated reference source for the Image Processing community. It contains advanced architectural concepts and describes new frontiers for applicants.







Building a National Distributed e-Infrastructure -- PL-Grid


Book Description

The goal of the project is to provide the polish scientific community with an IT platform based on grid computer clusters, enabling e-science research in various fields. The created infrastructure is both compatible and interoperable with existing european and worldwide grid frameworks. The system ensures scalability and enables the integration of additional local clusters, belonging to universities, research institutions and technology platforms. This state-of-the-art survey describes the experience and the scientific results obtained by project partners as well as the outcome of research and development activities carried out within the Polish Infrastructure for Information Science Support in the European Research Space PL-Grid (PL-Grid 2011), held in December 2011 in Krakow, Poland. The 26 papers are organized in topical sections on: eclipse parallel tools platform integrated with QosCosGrid, the migrating desktop, science gateways based on the vine toolkit, the gridspace experiment platform, and the InSilico-Lab environment.







Advances in Machine Learning and Data Mining for Astronomy


Book Description

Advances in Machine Learning and Data Mining for Astronomy documents numerous successful collaborations among computer scientists, statisticians, and astronomers who illustrate the application of state-of-the-art machine learning and data mining techniques in astronomy. Due to the massive amount and complexity of data in most scientific disciplines, the material discussed in this text transcends traditional boundaries between various areas in the sciences and computer science. The book’s introductory part provides context to issues in the astronomical sciences that are also important to health, social, and physical sciences, particularly probabilistic and statistical aspects of classification and cluster analysis. The next part describes a number of astrophysics case studies that leverage a range of machine learning and data mining technologies. In the last part, developers of algorithms and practitioners of machine learning and data mining show how these tools and techniques are used in astronomical applications. With contributions from leading astronomers and computer scientists, this book is a practical guide to many of the most important developments in machine learning, data mining, and statistics. It explores how these advances can solve current and future problems in astronomy and looks at how they could lead to the creation of entirely new algorithms within the data mining community.




Towards Understanding Galaxies at Large Redshift


Book Description

This workshop was intended as an update and an extension of the workshop 011 the "Spectral Evolution of Galaxies" that was held in Erice two years ago. It concentrates 011 Ilew developments concerning galaxies seen at large look back times. This seemed also a good opportunity to look ahead to the next generation of ground- and space based instrumentation, and to consider various future strategies for collecting information concerning the edge of the observable universe. The main idea was to bring together people with specialities in modelling galaxy components (such as stars, clusters, gas, and dust) as well as whole stellar systems (stellar populations, star formation rates, chemical enrichment), and people specialized in making direct measurements of galaxies and clusters at large look back times. The confrontation of expectations and observations was planned to be the central theme of the conference, which explains the title "Towards Understanding Galaxies at Large Redshift". The first part of the workshop focussed on the physical processes that operate in galaxies, and that would likely have some observable manifestation at large redshifts. In the second part the most recent observational work was reported, and we were pleased to have the participation of most of the groups active in this field. The last part was directed towards new approaches to be made possible by the next generation of instrumentation, although in general all the contributions were indeed in this spirit of setting more ambitious goals.




Science Abstracts


Book Description