Astronomy data

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  • The field of astronomy and astrophysics has advanced significantly with the advent of orbiting observatories. The ability to observe unobstructed by Earth’s atmosphere has opened new spectral windows and provided clearer, deeper views of the universe. Working with powerful new ground-based tools, astronomers and astrophysicists have revolutionized our understanding of the universe and the physical laws that govern its existence.

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  • Written by a premier astronomy expert, this book begins with a discussion of the Sun, from sunspots to solar eclipses. It then features over 100 tables on characteristics of the Moon, and the names, positions, sizes, and other key descriptors of all the planets and their satellites. The book tabulates solar and lunar eclipse, comets, close-approach asteroids, and significant meteor showers dates. Twenty-four maps show the surface features of the planets and their moons. The author then looks to the stars, their distances and movements, and their detailed classification and evolution.

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  • This book is dedicated to the memory of Gisèle Mersch whose life ended prematurely in June 2002. Back in the 1970s, when few people were using them, Gisèle introduced me to the arcane secrets of then advanced multivariate statistical methodologies. I was already involved in more classical statistical studies undertaken at Paris Observatory with Jean Jung: developing and applying maximumlikelihood algorithms to stellar photometric and kinematic data in order to derive absolute luminosities, distances and velocities in the solar neighborhood....

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  • A multitude of measurement units exist within astronomy, some of which are unique to the subject, causing discrepancies that are particularly apparent when astronomers collaborate with other disciplines in science and engineering. The International System of Units (SI) is based on a set of seven fundamental units from which other units may be derived. However, many astronomers are reluctant to drop their old and familiar systems. This handbook demonstrates the ease with which transformations from old units to SI units may be made.

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  • Astronomers are the oldest data collectors. The first catalogue of stars is due to Hipparchus, in the second century B.C. Since that time, and more precisely since the end of the last century, there has been an important increase in astronomical data. EHie to the development of space astronomy during recent decades, we have witnessed a veritable inflation. Confronted with this flood of data, astronomers have to change their methodology. It is necessary not only to manage large databases, but also to take into account recent developments in information retrieval....

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  • Beginning with modest initial attempts in roughly the 1960s, digital image processing has become a recognized field of science, as well as a broadly accepted methodology, to solve practical problems in many different kinds of human activities. The applications encompass an enormous range, starting perhaps with astronomy, geology, and physics, via medical, biological, and ecological imaging and technological exploitation, up to the initially unexpected use in humane sciences, e.g., archaeology or art history.

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  • Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: On-board Data Processing to Lower Bandwidth Requirements on an Infrared Astronomy Satellite: Case of Herschel-PACS Camera

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  • DIGITAL IMAGERY Digital images have a predominant position among multimedia data types. Unlike video and audio, which are mostly used by the entertainment and news industry, images are central to a wide variety of fields ranging from art history to medicine, including astronomy, oil exploration, and weather forecasting. Digital imagery plays a valuable role in numerous human activities, such as law enforcement, agriculture and forestry management, earth science, urban planning, as well as sports, newscasting, and entertainment....

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  • Lastly, there is a new form of science emerging. Each scientific discipline is generating huge data volumes, for example, from accelerators (physics), telescopes (astronomy), remote sensors (earth sciences), and DNA microarrays (biology). Simulations are also generating massive datasets. Organizing, analyzing and summarizing these huge scientific datasets stands as a real DBMS challenge. So is the positioning and transfer of data...

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