Statistical Methods For Astronomical Data Analysis

Author : Asis Kumar Chattopadhyay,Tanuka Chattopadhyay
Publisher : Springer
Page : 349 pages
File Size : 49,7 Mb
Release : 2014-10-01
Category : Mathematics
ISBN : 9781493915071

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Statistical Methods for Astronomical Data Analysis by Asis Kumar Chattopadhyay,Tanuka Chattopadhyay Pdf

This book introduces “Astrostatistics” as a subject in its own right with rewarding examples, including work by the authors with galaxy and Gamma Ray Burst data to engage the reader. This includes a comprehensive blending of Astrophysics and Statistics. The first chapter’s coverage of preliminary concepts and terminologies for astronomical phenomenon will appeal to both Statistics and Astrophysics readers as helpful context. Statistics concepts covered in the book provide a methodological framework. A unique feature is the inclusion of different possible sources of astronomical data, as well as software packages for converting the raw data into appropriate forms for data analysis. Readers can then use the appropriate statistical packages for their particular data analysis needs. The ideas of statistical inference discussed in the book help readers determine how to apply statistical tests. The authors cover different applications of statistical techniques already developed or specifically introduced for astronomical problems, including regression techniques, along with their usefulness for data set problems related to size and dimension. Analysis of missing data is an important part of the book because of its significance for work with astronomical data. Both existing and new techniques related to dimension reduction and clustering are illustrated through examples. There is detailed coverage of applications useful for classification, discrimination, data mining and time series analysis. Later chapters explain simulation techniques useful for the development of physical models where it is difficult or impossible to collect data. Finally, coverage of the many R programs for techniques discussed makes this book a fantastic practical reference. Readers may apply what they learn directly to their data sets in addition to the data sets included by the authors.

Author : Eric D. Feigelson,G. Jogesh Babu
Publisher : Cambridge University Press
Page : 495 pages
File Size : 54,6 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 : Gutti Jogesh Babu,E.D. Feigelson
Publisher : CRC Press
Page : 242 pages
File Size : 44,5 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 : J.-L. Starck,F. Murtagh
Publisher : Springer Science & Business Media
Page : 292 pages
File Size : 54,9 Mb
Release : 2013-04-17
Category : Science
ISBN : 9783662049068

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Astronomical Image and Data Analysis by J.-L. Starck,F. Murtagh Pdf

Using information and scale as central themes, this comprehensive survey explains how to handle real problems in astronomical data analysis through a modern arsenal of powerful techniques. The coverage includes chapters or appendices on: detection and filtering; image compression; multichannel, multiscale, and catalog data analytical methods; wavelets transforms, Picard iteration, and software tools.

Author : Željko Ivezić,Andrew J. Connolly,Jacob T. VanderPlas,Alexander Gray
Publisher : Princeton University Press
Page : 550 pages
File Size : 53,9 Mb
Release : 2014-01-12
Category : Science
ISBN : 9780691151687

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Statistics, Data Mining, and Machine Learning in Astronomy by Željko Ivezić,Andrew J. Connolly,Jacob T. VanderPlas,Alexander Gray Pdf

As telescopes, detectors, and computers grow ever more powerful, the volume of data at the disposal of astronomers and astrophysicists will enter the petabyte domain, providing accurate measurements for billions of celestial objects. This book provides a comprehensive and accessible introduction to the cutting-edge statistical methods needed to efficiently analyze complex data sets from astronomical surveys such as the Panoramic Survey Telescope and Rapid Response System, the Dark Energy Survey, and the upcoming Large Synoptic Survey Telescope. It serves as a practical handbook for graduate students and advanced undergraduates in physics and astronomy, and as an indispensable reference for researchers. Statistics, Data Mining, and Machine Learning in Astronomy presents a wealth of practical analysis problems, evaluates techniques for solving them, and explains how to use various approaches for different types and sizes of data sets. For all applications described in the book, Python code and example data sets are provided. The supporting data sets have been carefully selected from contemporary astronomical surveys (for example, the Sloan Digital Sky Survey) and are easy to download and use. The accompanying Python code is publicly available, well documented, and follows uniform coding standards. Together, the data sets and code enable readers to reproduce all the figures and examples, evaluate the methods, and adapt them to their own fields of interest. Describes the most useful statistical and data-mining methods for extracting knowledge from huge and complex astronomical data sets Features real-world data sets from contemporary astronomical surveys Uses a freely available Python codebase throughout Ideal for students and working astronomers

Author : Luis Manuel Sarro,Laurent Eyer,William O'Mullane,Joris De Ridder
Publisher : Springer Science & Business Media
Page : 259 pages
File Size : 44,8 Mb
Release : 2012-08-04
Category : Science
ISBN : 9781461433231

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Astrostatistics and Data Mining by Luis Manuel Sarro,Laurent Eyer,William O'Mullane,Joris De Ridder Pdf

​​​​​ ​This volume provides an overview of the field of Astrostatistics understood as the sub-discipline dedicated to the statistical analysis of astronomical data. It presents examples of the application of the various methodologies now available to current open issues in astronomical research. The technical aspects related to the scientific analysis of the upcoming petabyte-scale databases are emphasized given the importance that scalable Knowledge Discovery techniques will have for the full exploitation of these databases. Based on the 2011 Astrostatistics and Data Mining in Large Astronomical Databases conference and school, this volume gathers examples of the work by leading authors in the areas of Astrophysics and Statistics, including a significant contribution from the various teams that prepared for the processing and analysis of the Gaia data.

Author : Željko Ivezić,Andrew J. Connolly,Jacob T. VanderPlas,Alexander Gray
Publisher : Princeton University Press
Page : 552 pages
File Size : 47,5 Mb
Release : 2019-12-03
Category : Science
ISBN : 9780691197050

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Statistics, Data Mining, and Machine Learning in Astronomy by Željko Ivezić,Andrew J. Connolly,Jacob T. VanderPlas,Alexander Gray Pdf

Statistics, Data Mining, and Machine Learning in Astronomy is the essential introduction to the statistical methods needed to analyze complex data sets from astronomical surveys such as the Panoramic Survey Telescope and Rapid Response System, the Dark Energy Survey, and the Large Synoptic Survey Telescope. Now fully updated, it presents a wealth of practical analysis problems, evaluates the techniques for solving them, and explains how to use various approaches for different types and sizes of data sets. Python code and sample data sets are provided for all applications described in the book. The supporting data sets have been carefully selected from contemporary astronomical surveys and are easy to download and use. The accompanying Python code is publicly available, well documented, and follows uniform coding standards. Together, the data sets and code enable readers to reproduce all the figures and examples, engage with the different methods, and adapt them to their own fields of interest. An accessible textbook for students and an indispensable reference for researchers, this updated edition features new sections on deep learning methods, hierarchical Bayes modeling, and approximate Bayesian computation. The chapters have been revised throughout and the astroML code has been brought completely up to date. Fully revised and expanded Describes the most useful statistical and data-mining methods for extracting knowledge from huge and complex astronomical data sets Features real-world data sets from astronomical surveys Uses a freely available Python codebase throughout Ideal for graduate students, advanced undergraduates, and working astronomers

Author : Eric D. Feigelson,Jogesh Babu
Publisher : Springer Science & Business Media
Page : 506 pages
File Size : 45,5 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 : Robert Julius Trumpler,Harold F. Weaver
Publisher : Unknown
Page : 708 pages
File Size : 47,6 Mb
Release : 1953
Category : Statistical astronomy
ISBN : STANFORD:36105030579432

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Statistical Astronomy by Robert Julius Trumpler,Harold F. Weaver Pdf

Author : Michael J. Way,Jeffrey D. Scargle,Kamal M. Ali,Ashok N. Srivastava
Publisher : CRC Press
Page : 744 pages
File Size : 44,5 Mb
Release : 2012-03-29
Category : Computers
ISBN : 9781439841747

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Advances in Machine Learning and Data Mining for Astronomy by Michael J. Way,Jeffrey D. Scargle,Kamal M. Ali,Ashok N. Srivastava Pdf

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

Author : Joseph M. Hilbe,Rafael S. de Souza,Emille E. O. Ishida
Publisher : Cambridge University Press
Page : 429 pages
File Size : 45,9 Mb
Release : 2017-04-27
Category : Mathematics
ISBN : 9781107133082

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Bayesian Models for Astrophysical Data by Joseph M. Hilbe,Rafael S. de Souza,Emille E. O. Ishida Pdf

A hands-on guide to Bayesian models with R, JAGS, Python, and Stan code, for a wide range of astronomical data types.

Author : Linghe Kong,Tian Huang,Yongxin Zhu,Shenghua Yu
Publisher : Elsevier
Page : 440 pages
File Size : 42,5 Mb
Release : 2020-06-13
Category : Science
ISBN : 9780128190852

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Big Data in Astronomy by Linghe Kong,Tian Huang,Yongxin Zhu,Shenghua Yu Pdf

Big Data in Radio Astronomy: Scientific Data Processing for Advanced Radio Telescopes provides the latest research developments in big data methods and techniques for radio astronomy. Providing examples from such projects as the Square Kilometer Array (SKA), the world’s largest radio telescope that generates over an Exabyte of data every day, the book offers solutions for coping with the challenges and opportunities presented by the exponential growth of astronomical data. Presenting state-of-the-art results and research, this book is a timely reference for both practitioners and researchers working in radio astronomy, as well as students looking for a basic understanding of big data in astronomy. Bridges the gap between radio astronomy and computer science Includes coverage of the observation lifecycle as well as data collection, processing and analysis Presents state-of-the-art research and techniques in big data related to radio astronomy Utilizes real-world examples, such as Square Kilometer Array (SKA) and Five-hundred-meter Aperture Spherical radio Telescope (FAST)

Author : V. di Gesù,L. Scarsi,P. Crane,J.H. Friedman,S. Levialdi
Publisher : Springer Science & Business Media
Page : 521 pages
File Size : 50,6 Mb
Release : 2012-12-06
Category : Science
ISBN : 9781461594338

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Data Analysis in Astronomy by V. di Gesù,L. Scarsi,P. Crane,J.H. Friedman,S. Levialdi Pdf

The international Workshop on "Data Analysis in Astronomy" was in tended to give a presentation of experiences that have been acqui red in data analysis and image processing, developments and appli cations that are steadly growing up in Astronomy. The quality and the quantity of ground and satellite observations require more so phisticated data analysis methods and better computational tools. The Workshop has reviewed the present state of the art, explored new methods and discussed a wide range of applications. The topics which have been selected have covered the main fields of interest for data analysis in Astronomy. The Workshop has been focused on the methods used and their significant applications. Results which gave a major contribution to the physical interpre tation of the data have been stressed in the presentations. Atten tion has been devoted to the description of operational system for data analysis in astronomy. The success of the meeting has been the results of the coordinated effort of several people from the organizers to those who presen ted a contribution and/or took part in the discussion. We wish to thank the members of the Workshop scientific committee Prof. M. Ca paccioli, Prof. G. De Biase, Prof. G. Sedmak, Prof. A. Zichichi and of the local organizing committee Dr. R. Buccheri and Dr. M.C. Macca rone together with Miss P. Savalli and Dr. A. Gabriele of the E. Majo rana Center for their support and the unvaluable part in arranging the Workshop.

Author : Edmund C. Sutton
Publisher : Cambridge University Press
Page : 427 pages
File Size : 51,9 Mb
Release : 2011-10-13
Category : Science
ISBN : 9781139504928

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Observational Astronomy by Edmund C. Sutton Pdf

Astronomy is fundamentally an observational science and as such it is important for astronomers and astrophysicists to understand how their data are collected and analyzed. This book is a comprehensive review of current observational techniques and instruments. Featuring instruments such as Spitzer, Herschel, Fermi, ALMA, Super-Kamiokande, SNO, IceCube, the Auger Observatory, LIGO and LISA, the book discusses the capabilities and limitations of different types of instruments. It explores the sources and types of noise and provides statistical tools necessary for interpreting observational data. Due to the increasingly important role of statistical analysis, the techniques of Bayesian analysis are discussed, along with sampling techniques and model comparison. With topics ranging from fundamental subjects such as optics, photometry and spectroscopy, to neutrinos, cosmic rays and gravitational waves, this book is essential for graduate students in astronomy and physics. Electronic and colour versions of selected figures are available online at www. cambridge.org/9781107010468.

Author : Roberto Trotta
Publisher : Basic Books
Page : 144 pages
File Size : 50,6 Mb
Release : 2014-09-23
Category : Science
ISBN : 9780465044900

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The Edge of the Sky by Roberto Trotta Pdf

From the big bang to black holes, from dark matter to dark energy, from the origins of the universe to its ultimate destiny, The Edge of the Sky tells the story of the most important discoveries and mysteries in modern cosmology—with a twist. The book's lexicon is limited to the thousand most common words in the English language, excluding physics, energy, galaxy, or even universe. Through the eyes of a fictional scientist (Student-People) hunting for dark matter with one of the biggest telescopes (Big-Seers) on Earth (Home-World), cosmologist Roberto Trotta explores the most important ideas about our universe (All-there-is) in language simple enough for anyone to understand. A unique blend of literary experimentation and science popularization, this delightful book is a perfect gift for any aspiring astronomer. The Edge of the Sky tells the story of the universe on a human scale, and the result is out of this world.