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An introduction to practical astrometry, dealing with the determination of positions, motions, distances and dimensions of celestial bodies ranging from quasars to artificial satellites. For this 2nd edition, the release of the Hipparcos and Tycho catalogs, the rise in CCD astrometry and the adoption of a new celestial reference frame by the IAU led to a significant modification of the text. And, especially, the outlook for astrometry has been completely rewritten.
An introduction to practical astrometry, dealing with the determination of positions, motions, distances and dimensions of celestial bodies - ranging from quasars to artificial satellites. The main part is devoted to the description of optical instruments together with the atmospheric effects on observations. Although classical astrometric methods (photography, meridian circles, astrolabes) are described, the emphasis is firmly laid on new, more precise techniques such as CCD, optical and radio interferometry, and space astrometry. The whole is rounded off by a brief summary of data treatment and of the main phenomena in positional astronomy.
Modern Statistical Methods for Astronomy: With R Applications.
It has taken modern science more than 3,500 years, and the genius of such men as Einstein to catch up with what Abraham and Moses knew so long ago. We can only ponder how many more wonders of God may be hidden in the astounding translations of Joseph Smith. In Joseph Smith and Modern Astronomy, Dr. Richard Ingebretsen, former science editor for the Ensign, a medical doctor, and a PhD scientist, confirms the truth of the writings and translations of Joseph Smith using advances in modern science and astrophysics. • Governing stars influence other celestial bodies (Abraham 3:2-4) • The “times” of heavenly bodies are not all the same (Abraham 3:3-4) • Absolute truths have been revealed in the translations of Joseph Smith These fascinating parallels explained by Dr. Ingebretsen will not only broaden your scientific understanding, but they will also present a framework to comprehending other revelations.
A Noble Prize–winning Italian astrophysicist shares his scientific autobiography and the history of the development of contemporary astronomy. The discovery of x-rays continues to have a profound effect on the field of astronomy. It has opened the cosmos to exploration in ways previously unimaginable, and fundamentally altered the methods for pursuing information about outer space. Nobel Prize–winner Riccardo Giacconi’s highly personal account of the birth and evolution of x-ray astronomy reveals the science, people, and institutional settings behind this important and influential discipline. Part history, part memoir, and part cutting-edge science, Secrets of the Hoary Deep is the tale of x-ray astronomy from its infancy through what can only be called its early adulthood. It also details how the tools, techniques, and practices designed to support and develop x-ray astronomy were transferred to optical, infrared, and radio astronomy, drastically altering the face of modern space exploration. Giacconi relates the basic techniques developed at American Science and Engineering and explains how, where, and by whom the science was advanced. From the first Earth-orbiting x-ray satellite, Uhuru, to the opening of the Space Telescope Science Institute and the lift-off of the Hubble Space Telescope to the construction of the Very Large Telescope, Giaconni recounts the ways in which the management methods and scientific methodology behind successful astronomy projects came to set the standards of operations for all subsequent space- and Earth-based observatories. Along the way he spares no criticism and holds back no praise, detailing individual as well as institutional failures and successes, reflecting upon how far astronomy has come and how far it has yet to go.
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.
Based on field notes made by the author during his own career as an amateur astronomer, this unique guide covers both the traditional and novel approaches to studying the night sky. In addition to the more standard techniques, it discusses the latest modern resources available to today's astronomer, such as personal computers, the Internet, and computerized telescopes. It includes practical advice on aspects such as site selection and weather; provides the reader with detailed instructions for observing the Sun, Moon, planets, and all types of deep-sky objects; and it introduces newer specialities such as satellite observing and the use of astronomical databases. The book concludes with detailed information about 200 stars, clusters, nebulae, and galaxies, suitable for viewing with modest-sized telescopes under suburban conditions. Written to complement How to Use a Computerized Telescope, this book will also appeal to astronomers with more traditional equipment.
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
An introduction to practical astrometry, dealing with the determination of positions, motions, distances and dimensions of celestial bodies ranging from quasars to artificial satellites. For this 2nd edition, the release of the Hipparcos and Tycho catalogs, the rise in CCD astrometry and the adoption of a new celestial reference frame by the IAU led to a significant modification of the text. And, especially, the outlook for astrometry has been completely rewritten.