Statistical Challenges In Modern Astronomy

Author : Eric D. Feigelson,G.Jogesh Babu
Publisher : Springer Science & Business Media
Page : 528 pages
File Size : 50,7 Mb
Release : 2012-12-06
Category : Science
ISBN : 9781461392903

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Statistical Challenges in Modern Astronomy by Eric D. Feigelson,G.Jogesh Babu Pdf

Modern astronomy has been characterized by an enormous growth in data acquisition - from new technologies in telescopes, detectors, and computation. One can now compile catalogs of tens or hundreds of millions of stars or galaxies and databases from satellite-based observations are reaching terabit proportions. This wealth of data gives rise to statistical challenges not previously encountered in astronomy. This book is the result of a workshop held at Pennsylvania State University in August 1991 that brought together leading astronomers and statisticians to consider statistical challenges encountered in modern astronomical research. The chapters have all been thoroughly revised in the light of the discussions at the conference, and some of the lively discussion is recorded here as well.

Author : Eric D. Feigelson,Jogesh Babu
Publisher : Springer Science & Business Media
Page : 544 pages
File Size : 50,6 Mb
Release : 2012-08-15
Category : Mathematics
ISBN : 9781461435204

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Statistical Challenges in Modern Astronomy V by Eric D. Feigelson,Jogesh Babu Pdf

This volume contains a selection of chapters based on papers to be presented at the Fifth Statistical Challenges in Modern Astronomy Symposium. The symposium will be held June 13-15th at Penn State University. Modern astronomical research faces a vast range of statistical issues which have spawned a revival in methodological activity among astronomers. The Statistical Challenges in Modern Astronomy V conference will bring astronomers and statisticians together to discuss methodological issues of common interest. Time series analysis, image analysis, Bayesian methods, Poisson processes, nonlinear regression, maximum likelihood, multivariate classification, and wavelet and multiscale analyses are all important themes to be covered in detail. Many problems will be introduced at the conference in the context of large-scale astronomical projects including LIGO, AXAF, XTE, Hipparcos, and digitized sky surveys.

Author : G. Jogesh Babu,Eric D. Feigelson
Publisher : Springer Science & Business Media
Page : 463 pages
File Size : 40,5 Mb
Release : 2012-12-06
Category : Science
ISBN : 9781461219682

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Statistical Challenges in Modern Astronomy II by G. Jogesh Babu,Eric D. Feigelson Pdf

Modern astronomical research faces a vast range of statistical issues which have spawned a revival in methodological activity among astronomers. The Statistical Challenges in Modern Astronomy II conference brought astronomers and statisticians together to discuss methodological issues of common interest. Time series analysis, image analysis, Bayesian methods, Poisson processes, nonlinear regression, maximum likelihood, multivariate classification, and wavelet and multiscale analyses were all important themes. Many problems were introduced at the conference in the context of large-scale astronomical projects including LIGO, AXAF, XTE, Hipparcos, and digitised sky surveys. As such, this volume will be of interest to researchers and advanced students in both fields - astronomers seeking exposure to recent developments in statistics, and statisticians interested in confronting new problems.

Author : Eric D. Feigelson,Jogesh Babu
Publisher : Springer Science & Business Media
Page : 512 pages
File Size : 50,7 Mb
Release : 2006-05-26
Category : Science
ISBN : 9780387215297

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Statistical Challenges in Astronomy by Eric D. Feigelson,Jogesh Babu Pdf

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.

Author : Statistical Challenges in Modern Astronomy Conference
Publisher : Unknown
Page : 448 pages
File Size : 52,5 Mb
Release : 2007
Category : Electronic
ISBN : 1583813055

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Statistical Challenges in Modern Astronomy IV : proceedings of a Conference held at Pennsylvania State University, University Park, Pennsylvania, USA 12 - 15 June 2006 by Statistical Challenges in Modern Astronomy Conference Pdf

Author : Joseph M. Hilbe
Publisher : Springer Science & Business Media
Page : 247 pages
File Size : 52,8 Mb
Release : 2012-11-07
Category : Mathematics
ISBN : 9781461435082

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Astrostatistical Challenges for the New Astronomy by Joseph M. Hilbe Pdf

Astrostatistical Challenges for the New Astronomy presents a collection of monographs authored by several of the disciplines leading astrostatisticians, i.e. by researchers from the fields of statistics and astronomy-astrophysics, who work in the statistical analysis of astronomical and cosmological data. Eight of the ten monographs are enhancements of presentations given by the authors as invited or special topics in astrostatistics papers at the ISI World Statistics Congress (2011, Dublin, Ireland). The opening chapter, by the editor, was adapted from an invited seminar given at Los Alamos National Laboratory (2011) on the history and current state of the discipline; the second chapter by Thomas Loredo was adapted from his invited presentation at the Statistical Challenges in Modern Astronomy V conference (2011, Pennsylvania State University), presenting insights regarding frequentist and Bayesian methods of estimation in astrostatistical analysis. The remaining monographs are research papers discussing various topics in astrostatistics. The monographs provide the reader with an excellent overview of the current state astrostatistical research, and offer guidelines as to subjects of future research. Lead authors for each chapter respectively include Joseph M. Hilbe (Jet Propulsion Laboratory and Arizona State Univ); Thomas J. Loredo (Dept of Astronomy, Cornell Univ); Stefano Andreon (INAF-Osservatorio Astronomico di Brera, Italy); Martin Kunz ( Institute for Theoretical Physics, Univ of Geneva, Switz); Benjamin Wandel ( Institut d'Astrophysique de Paris, Univ Pierre et Marie Curie, France); Roberto Trotta (Astrophysics Group, Dept of Physics, Imperial College London, UK); Phillip Gregory (Dept of Astronomy, Univ of British Columbia, Canada); Marc Henrion (Dept of Mathematics, Imperial College, London, UK); Asis Kumar Chattopadhyay (Dept of Statistics, Univ of Calcutta, India); Marisa March (Astrophysics Group, Dept of Physics, Imperial College, London, UK)./body

Author : Eric D. Feigelson,Jogesh Babu
Publisher : Springer
Page : 506 pages
File Size : 50,7 Mb
Release : 2013-04-25
Category : Science
ISBN : 1475778562

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Statistical Challenges in Astronomy by Eric D. Feigelson,Jogesh Babu Pdf

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.

Author : Gutti Jogesh Babu,Eric D. Feigelson
Publisher : Unknown
Page : 448 pages
File Size : 40,7 Mb
Release : 2007
Category : Electronic
ISBN : OCLC:1132099437

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Statistical Challenges in Modern Astronomy IV by Gutti Jogesh Babu,Eric D. Feigelson Pdf

Author : Eric D. Feigelson,G. Jogesh Babu
Publisher : Cambridge University Press
Page : 495 pages
File Size : 44,9 Mb
Release : 2012-07-12
Category : Science
ISBN : 9780521767279

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Modern Statistical Methods for Astronomy by Eric D. Feigelson,G. Jogesh Babu Pdf

Modern Statistical Methods for Astronomy: With R Applications.

Author : Eric D. Feigelson,G. Jogesh Babu
Publisher : Cambridge University Press
Page : 490 pages
File Size : 51,8 Mb
Release : 2012-07-12
Category : Science
ISBN : 9781139536097

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Modern Statistical Methods for Astronomy by Eric D. Feigelson,G. Jogesh Babu Pdf

Modern astronomical research is beset with a vast range of statistical challenges, ranging from reducing data from megadatasets to characterizing an amazing variety of variable celestial objects or testing astrophysical theory. Linking astronomy to the world of modern statistics, this volume is a unique resource, introducing astronomers to advanced statistics through ready-to-use code in the public domain R statistical software environment. The book presents fundamental results of probability theory and statistical inference, before exploring several fields of applied statistics, such as data smoothing, regression, multivariate analysis and classification, treatment of nondetections, time series analysis, and spatial point processes. It applies the methods discussed to contemporary astronomical research datasets using the R statistical software, making it invaluable for graduate students and researchers facing complex data analysis tasks. A link to the author's website for this book can be found at www.cambridge.org/msma. Material available on their website includes datasets, R code and errata.

Author : Gutti Jogesh Babu,E.D. Feigelson
Publisher : CRC Press
Page : 242 pages
File Size : 48,6 Mb
Release : 1996-08-01
Category : Mathematics
ISBN : 0412983915

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Astrostatistics by Gutti Jogesh Babu,E.D. Feigelson Pdf

Modern astronomers encounter a vast range of challenging statistical problems, yet few are familiar with the wealth of techniques developed by statisticians. Conversely, few statisticians deal with the compelling problems confronted in astronomy. Astrostatistics bridges this gap. Authored by a statistician-astronomer team, it provides professionals and advanced students in both fields with exposure to issues of mutual interest. In the first half of the book the authors introduce statisticians to stellar, galactic, and cosmological astronomy and discuss the complex character of astronomical data. For astronomers, they introduce the statistical principles of nonparametrics, multivariate analysis, time series analysis, density estimation, and resampling methods. The second half of the book is organized by statistical topic. Each chapter contains examples of problems encountered astronomical research and highlights methodological issues. The final chapter explores some controversial issues in astronomy that have a strong statistical component. The authors provide an extensive bibliography and references to software for implementing statistical methods. The "marriage" of astronomy and statistics is a natural one and benefits both disciplines. Astronomers need the tools and methods of statistics to interpret the vast amount of data they generate, and the issues related to astronomical data pose intriguing challenges for statisticians. Astrostatistics paves the way to improved statistical analysis of astronomical data and provides a common ground for future collaboration between the two fields.

Author : Gutti Jogesh Babu,Eric D. Feigelson
Publisher : Unknown
Page : 488 pages
File Size : 45,5 Mb
Release : 2007
Category : Science
ISBN : UOM:39015069031659

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Statistical Challenges in Modern Astronomy IV by Gutti Jogesh Babu,Eric D. Feigelson Pdf

"This is the fourth in a series of international conferences for the vanguard of researchers in the cross-disciplinary field of astrostatistics. Both astronomical and statistical communities now recognize the wide array of fascinating methodological issues faced by the modern astronomer. Ranging from terabyte wide-field surveys to small-N samples, from cosmology to the search for Earth-like planets, astronomical research can no longer be pursued with a small toolbox of familiar statistical methods. Over thirty distinguished scholars from both fields presented invited talks and commentaries on leading problems in astrostatistics. The methodological challenges of inferring cosmological insights from the cosmic microwave background fluctuations, the distribution of galaxies in space, gravitational lensing, and galaxy structure wre describe in detail. Time series analysis is discussed in a variety of contexts: sparse Poisson data, multiply-periodic systems, gravitational wave detection, and most dramatically in the search for extrasolar planets. Here sophisticated Bayesian model selection with MCMC computations plays a critical role. Other topics covered include image processing, analysis of mega-datasets from large surveys, and small-N problems in both astronomy and particle physics. The volume ends with cross-disciplinary overviews and software tutorials. The book will be valuable to graduate students and researchers in both astronomy and statistics who seek insights into this promising avenue of cross-disciplinary research."--Publisher's website

Author : D Egret,M.A Albrecht
Publisher : Springer Science & Business Media
Page : 291 pages
File Size : 45,6 Mb
Release : 2012-12-06
Category : Mathematics
ISBN : 9789401103978

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Information & On-Line Data in Astronomy by D Egret,M.A Albrecht Pdf

The ability of storing, managing, and giving access to the huge quantity of data collected by astronomical observatories is one of the major challenges of modern astronomy. At the same time, the growing complexity of data systems implies a change of concepts: the scientist has to manipulate data as well as information. Recent developments of the `WorldWideWeb' bring interesting answers to these problems. The book presents a wide selection of databases, archives, data centers, and information systems. Clear and up-to-date descriptions are included, together with their scientific context and motivations. Audience: This volume provides an essential tool for astronomers, librarians, data specialists and computer engineers.

Author : Alan Heavens,Jean-Luc Starck,Alberto Krone-Martins
Publisher : Cambridge University Press
Page : 0 pages
File Size : 49,6 Mb
Release : 2015-07-23
Category : Science
ISBN : 1107078563

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Statistical Challenges in 21st Century Cosmology (IAU S306) by Alan Heavens,Jean-Luc Starck,Alberto Krone-Martins Pdf

The advent of advanced astronomical instruments and huge surveys means that the twenty-first century is witnessing a rapid growth in astrostatistical science. Interpreting the cosmic microwave background, weak and strong gravitational lensing, galaxy clustering and other signatures of the early Universe all require advanced statistical techniques. Led by members of the IAU's newly formed Working Group in Astrostatistics and Astroinformatics, IAU Symposium 306 emphasises the intricate mathematical methods needed to extract scientific insights from large and complicated datasets. It contains contributions on Bayesian methods, weak lensing cosmology, CMB data analysis, cross-correlating datasets, large-scale structure, data mining and machine learning, ongoing surveys and the future Euclid mission. The approaches presented here provide a solid foundation to advance new research methods in cosmology, making it an essential text for the large community of astronomers and statisticians who will analyse and interpret the vast and growing amount of observational data.

Author : J. V. Wall,C. R. Jenkins
Publisher : Cambridge University Press
Page : 375 pages
File Size : 41,6 Mb
Release : 2012-04-26
Category : Science
ISBN : 9781107393707

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Practical Statistics for Astronomers by J. V. Wall,C. R. Jenkins Pdf

Astronomy needs statistical methods to interpret data, but statistics is a many-faceted subject that is difficult for non-specialists to access. This handbook helps astronomers analyze the complex data and models of modern astronomy. This second edition has been revised to feature many more examples using Monte Carlo simulations, and now also includes Bayesian inference, Bayes factors and Markov chain Monte Carlo integration. Chapters cover basic probability, correlation analysis, hypothesis testing, Bayesian modelling, time series analysis, luminosity functions and clustering. Exercises at the end of each chapter guide readers through the techniques and tests necessary for most observational investigations. The data tables, solutions to problems, and other resources are available online at www.cambridge.org/9780521732499. Bringing together the most relevant statistical and probabilistic techniques for use in observational astronomy, this handbook is a practical manual for advanced undergraduate and graduate students and professional astronomers.