Data Analysis in Cosmology, Vicent J. Martinez; Enn Saar; Enrique Martinez Gon
Автор: Martinez Vincent Название: Data Analysis in Cosmology ISBN: 3540239723 ISBN-13(EAN): 9783540239727 Издательство: Springer Рейтинг: Цена: 19591.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The development of telescopes, detectors and satellites has led to a dramatic increase in cosmological data. This book offers the best techniques to extract information from that data and reliable methods to improve our view of the universe.
Автор: Ellis Название: Relativistic Cosmology ISBN: 0521381150 ISBN-13(EAN): 9780521381154 Издательство: Cambridge Academ Рейтинг: Цена: 26928.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Surveying key developments and open issues in cosmology for graduate students and researchers, this book focuses on the general concepts and relations that underpin the standard model of the Universe. It also examines anisotropic and inhomogeneous models, and deeper issues, such as quantum cosmology and the multiverse proposal.
Автор: Steinhardt, P.j. Mukhanov, Viatcehslav Название: Physical foundations of cosmology ISBN: 0521563984 ISBN-13(EAN): 9780521563987 Издательство: Cambridge Academ Рейтинг: Цена: 11878.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Covering established and speculative research in cosmology, this is an ideal textbook for advanced students of physics and astrophysics. All of the necessary background material is included in every chapter and no prior knowledge of general relativity and quantum field theory is assumed.
This book deals with a topic that has been largely neglected by philosophers of science to date: the ability to refer and analyze in tandem. On the basis of a set of philosophical case studies involving both problems in number theory and issues concerning time and cosmology from the era of Galileo, Newton and Leibniz up through the present day, the author argues that scientific knowledge is a combination of accurate reference and analytical interpretation. In order to think well, we must be able to refer successfully, so that we can show publicly and clearly what we are talking about. And we must be able to analyze well, that is, to discover productive and explanatory conditions of intelligibility for the things we are thinking about. The book’s central claim is that the kinds of representations that make successful reference possible and those that make successful analysis possible are not the same, so that significant scientific and mathematical work typically proceeds by means of a heterogeneous discourse that juxtaposes and often superimposes a variety of kinds of representation, including formal and natural languages as well as more iconic modes. It demonstrates the virtues and necessity of heterogeneity in historically central reasoning, thus filling an important gap in the literature and fostering a new, timely discussion on the epistemology of science and mathematics.
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