The Hipparcos Double and Multiple Star Solutions
نویسندگان
چکیده
منابع مشابه
Various Orbital Solutions and Double Star Statistics
For the past twenty years, the primary double star observational technique utilized at the US Naval Observatory (USNO) has been speckle interferometry. Our two speckle cameras have been used on a variety of telescopes: our 26-inch in Washington, the Naval Observatory Flagstaff Station (NOFS) 61-inch, the McDonald Observatory 82-inch, the Mt. Wilson Observatory 100-inch and the twin 4 meter tele...
متن کاملComparison of the first results from the Hipparcos star mappers with the Hipparcos Input Catalogue
Preliminary positions and magnitudes derived from the analysis of 12 weeks of observations from the Hipparcos star mappers are systematically compared with the various sources of ground-based data used in the Hipparcos Input Catalogue. These comparisons allow to cross-check the accuracies claimed by the various sources of ground-based data and by the analysis method of star mapper data. The par...
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We use data from the Hipparcos catalogue to construct colour-magnitude diagrams for the solar neighbourhood, which are then treated using advanced Bayesian analysis techniques to derive the star formation history, SFR(t), of this region over the last 3 Gyr. The method we use allows the recovery of the underlying SFR(t) without the need of assuming any a priori structure or condition on SFR(t), ...
متن کاملACCELERATION AND STOCHASTIC HIPPARCOS SOLUTIONS Based on observations made with the ESA Hipparcos satellite
The Hipparcos astrometric parameters were obtained through the merging of abscissae data obtained by FAST and NDAC Consortia. Using a different weighting scheme, close but different astrometric solutions may be obtained. The resulting influence on acceleration (G) and stochastic (X) solutions is discussed; these solutions are studied from the point of view of the possible signature of astrometr...
متن کاملDouble-Star Detection Using Convolutional Neural Network in Atmospheric Turbulence
In this paper, we investigate the usage of machine learning in the detection and recognition of double stars. To do this, numerous images including one star and double stars are simulated. Then, 100 terms of Zernike expansion with random coefficients are considered as aberrations to impose on the aforementioned images. Also, a telescope with a specific aperture is simulated. In this work, two k...
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ژورنال
عنوان ژورنال: Highlights of Astronomy
سال: 1998
ISSN: 1539-2996
DOI: 10.1017/s1539299600021985