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   » Wiki: Astrometry
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Astrometry is a branch of that involves precise measurements of the positions and movements of and other celestial bodies. It provides the and physical origin of the and this , the .


History
The history of astrometry is linked to the history of , which gave astronomers reference points for objects in the sky so they could track their movements. This can be dated back to the astronomer , who around 190 BC used the catalogue of his predecessors and to discover Earth's . In doing so, he also developed the brightness scale still in use today.
(2025). 9783540674368, Springer.
Hipparchus compiled a catalogue with at least 850 stars and their positions.
(2025). 9780387716688, Springer.
Hipparchus's successor, , included a catalogue of 1,022 stars in his work the , giving their location, coordinates, and brightness.p. 110, Kanas 2007.

In the 10th century, the Iranian astronomer Abd al-Rahman al-Sufi carried out observations on the stars and described their positions, magnitudes and ; furthermore, he provided drawings for each constellation, which are depicted in his Book of Fixed Stars. Egyptian mathematician observed more than 10,000 entries for the Sun's position for many years using a large with a diameter of nearly 1.4 metres. His observations on were still used centuries later in Canadian–American astronomer 's investigations on the motion of the Moon, while his other observations of the motions of the planets Jupiter and Saturn inspired French scholar Laplace's Obliquity of the Ecliptic and Inequalities of Jupiter and Saturn. In the 15th century, the astronomer compiled the , in which he catalogued 1,019 stars. Like the earlier catalogs of Hipparchus and Ptolemy, Ulugh Beg's catalogue is estimated to have been precise to within approximately 20 minutes of arc.

(1997). 081530322X, Taylor & Francis. 081530322X

In the 16th century, Danish astronomer used improved instruments, including large , to measure star positions more accurately than previously, with a precision of 15–35 arcsec.

(2025). 9780521642163, Cambridge University Press.
Ottoman scholar Taqi al-Din measured the of the stars at the Constantinople Observatory of Taqi ad-Din using the "observational clock" he invented. When became commonplace, sped measurements

English astronomer first tried to measure in 1729. The stellar movement proved too insignificant for his , but he instead discovered the aberration of light and the nutation of the Earth's axis. His cataloguing of 3222 stars was refined in 1807 by German astronomer , the father of modern astrometry. He made the first measurement of stellar parallax: 0.3 arcsec for the 61 Cygni. In 1872, British astronomer used to measure the of several prominent stars, including .

Being very difficult to measure, only about 60 stellar parallaxes had been obtained by the end of the 19th century, mostly by use of the . using astronomical photographic plates sped the process in the early 20th century. Automated plate-measuring machines CERN paper on plate measuring machine USNO StarScan and more sophisticated computer technology of the 1960s allowed more efficient compilation of . Started in the late 19th century, the project Carte du Ciel to improve star mapping could not be finished but made photography a common technique for astrometry.H.H. Turner, 1912 The Great Star Map, Being a Brief General Account of the International Project Known as the Astrographic Chart (John Murray) In the 1980s, charge-coupled devices (CCDs) replaced photographic plates and reduced optical uncertainties to one milliarcsecond. This technology made astrometry less expensive, opening the field to an amateur audience.

In 1989, the European Space Agency's satellite took astrometry into orbit, where it could be less affected by mechanical forces of the Earth and optical distortions from its atmosphere. Operated from 1989 to 1993, Hipparcos measured large and small angles on the sky with much greater precision than any previous optical telescopes. During its 4-year run, the positions, parallaxes, and of 118,218 stars were determined with an unprecedented degree of accuracy. A new "Tycho catalog" drew together a database of 1,058,332 stars to within 20-30 mas (milliarcseconds). Additional catalogues were compiled for the 23,882 double and multiple stars and 11,597 also analyzed during the Hipparcos mission. In 2013, the Gaia satellite was launched and improved the accuracy of . The precision was improved by a factor of 100 and enabled the mapping of a billion stars. Today, the catalogue most often used is USNO-B1.0, an all-sky catalogue that tracks proper motions, positions, magnitudes and other characteristics for over one billion stellar objects. During the past 50 years, 7,435 plates were used to complete several sky surveys that make the data in USNO-B1.0 accurate to within 0.2 arcsec.

(1995). 354042380X, Springer. . 354042380X


Applications
Apart from the fundamental function of providing with a reference frame to report their observations in, astrometry is also fundamental for fields like celestial mechanics, and galactic astronomy. In observational astronomy, astrometric techniques help identify stellar objects by their unique motions. It is instrumental for , in that UTC is essentially the atomic time synchronized to 's rotation by means of exact astronomical observations. Astrometry is an important step in the cosmic distance ladder because it establishes distance estimates for stars in the .

Astrometry has also been used to support claims of extrasolar planet detection by measuring the displacement the proposed planets cause in their parent star's apparent position on the sky, due to their mutual orbit around the center of mass of the system. Astrometry is more accurate in space missions that are not affected by the distorting effects of the Earth's atmosphere.Nature 462, 705 (2009) 8 December 2009 NASA's planned Space Interferometry Mission () (now cancelled) was to utilize astrometric techniques to detect terrestrial planets orbiting 200 or so of the nearest . The European Space Agency's , launched in 2013, applies astrometric techniques in its stellar census. In addition to the detection of exoplanets, it can also be used to determine their mass.

Astrometric measurements are used by to constrain certain models in celestial mechanics. By measuring the velocities of , it is possible to put a limit on the of explosions. Also, astrometric results are used to determine the distribution of in the galaxy.

Astronomers use astrometric techniques for the tracking of near-Earth objects. Astrometry is responsible for the detection of many record-breaking Solar System objects. To find such objects astrometrically, astronomers use telescopes to survey the sky and large-area cameras to take pictures at various determined intervals. By studying these images, they can detect Solar System objects by their movements relative to the background stars, which remain fixed. Once a movement per unit time is observed, astronomers compensate for the parallax caused by Earth's motion during this time and the heliocentric distance to this object is calculated. Using this distance and other photographs, more information about the object, including its , can be obtained. Asteroid impact avoidance is among the purposes.

and Sedna are two trans-Neptunian discovered in this way by Michael E. Brown and others at Caltech using the Palomar Observatory's Samuel Oschin telescope of and the Palomar-Quest large-area CCD camera. The ability of astronomers to track the positions and movements of such celestial bodies is crucial to the understanding of the Solar System and its interrelated past, present, and future with others in the Universe.


Statistics
A fundamental aspect of astrometry is error correction. Various factors introduce errors into the measurement of stellar positions, including atmospheric conditions, imperfections in the instruments and errors by the observer or the measuring instruments. Many of these errors can be reduced by various techniques, such as through instrument improvements and compensations to the data. The results are then analyzed using to compute data estimates and error ranges.
(2002). 9783540423805, Springer Science & Business Media. .


Computer programs


See also

Further reading


External links

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