Statistical Challenges in Modern Astronomy [Paperback]

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.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.Galaxy Clustering.- 1 Surveys of Galaxy Redshifts.- 2 Some Statistical Problems in Cosmology.- Discussion by Suketu P. Bhavsar.- Discussion by Fred L. Bookstein.- 3 Analysis of Patterns in Galaxy Clustering.- Discussion by Fred L. Bookstein.- Discussion by N.K. Bose.- 4 Statistical Issues Concerning Quasar Absorption Line Systems.- Discussion by B.D. Ripley.- Discussion by Kathryn Roeder.- 5 AssessmenlĂL