2000
DOI: 10.1117/12.394031
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<title>Full-sky Astrometric Mapping Explorer (FAME) CCD centroiding experiment</title>

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Cited by 8 publications
(10 citation statements)
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“…The SIM target selection is yet to happen, but will be focussed towards searches for low-mass planets around a few nearby stars, calibration of the distance scale, and detailed studies of known micro-lensing events. FAME (Full-Sky Astrometric Mapping Explorer; Triebes et al 2000), selected by NASA in the MIDEX competition in 1999, and DIVA (Double Interferometer for Visual Astrometry; Röser et al 1997), a small German astronomy satellite planned for launch in 2004, are essentially successors to Hipparcos, with an extension of limiting sensitivity, sample size and accuracy (statistical weight) by a factor of order 100 in each. DIVA and FAME will both provide an excellent reference frame, substantially improve calibration of the distance scale and the main phases of stellar evolutionary astrophysics, and map the Solar Neighbourhood to much improved precision.…”
Section: Gaia and Other Space Missionsmentioning
confidence: 99%
“…The SIM target selection is yet to happen, but will be focussed towards searches for low-mass planets around a few nearby stars, calibration of the distance scale, and detailed studies of known micro-lensing events. FAME (Full-Sky Astrometric Mapping Explorer; Triebes et al 2000), selected by NASA in the MIDEX competition in 1999, and DIVA (Double Interferometer for Visual Astrometry; Röser et al 1997), a small German astronomy satellite planned for launch in 2004, are essentially successors to Hipparcos, with an extension of limiting sensitivity, sample size and accuracy (statistical weight) by a factor of order 100 in each. DIVA and FAME will both provide an excellent reference frame, substantially improve calibration of the distance scale and the main phases of stellar evolutionary astrophysics, and map the Solar Neighbourhood to much improved precision.…”
Section: Gaia and Other Space Missionsmentioning
confidence: 99%
“…In the star field data reduction, we use three algorithms to do the calculation of the centroid, namely, the photon weighted means(PWM), the linear corrected photon weighted means(LCPWM) [2,3] and the Gauss fitting. The standard deviations are derived.…”
Section: The Centroid Calculationmentioning
confidence: 99%
“…In this paper, we present the preliminary results of determining the separations between star images. Without calibration of pixel positions and intra-pixel response, we have demonstrated that the standard deviation of differential centroiding is below 7.4e-3 pixel by the algorithm of linear corrected photon weighted means(LCPWM) [2,3]. For comparison, the photon weighted means(PWM) and Gauss fitting are also used in the data reduction.…”
mentioning
confidence: 98%
“…This assumption was originally adopted by the FAME group for their laboratory experiment (Triebes et al 1999(Triebes et al , 2000. However, our treatment of the coefficient k is different from that of the FAME group.…”
Section: Ccd Centroiding Experimentsmentioning
confidence: 99%