2005
DOI: 10.1002/asna.200410350
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A new algorithm for differential photometry: computing anoptimum artificial comparison star

Abstract: Abstract.Our new algorithm for differential photometry solves the problem of identifying proper comparison stars without a prior detailed study of the field of view. The comparison stars' variability is determined in a self-consistent way, and their weighted average is used as a reference level. The maximum error in differential photometry using objects and reference stars of different spectral types is estimated. The results from these calculations show that the photometric band chosen greatly determines the … Show more

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Cited by 71 publications
(76 citation statements)
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“…First we perform aperture photometry by using the IRAF task chphot (see Raetz et al 2009 stars with the best S/N in the field (Broeg et al 2005;Raetz et al 2009). …”
Section: In Generalmentioning
confidence: 99%
“…First we perform aperture photometry by using the IRAF task chphot (see Raetz et al 2009 stars with the best S/N in the field (Broeg et al 2005;Raetz et al 2009). …”
Section: In Generalmentioning
confidence: 99%
“…A problem in differential photometry is the search for a good comparison star. Broeg et al (2005) developed an algorithm which uses as many stars as possible (all available field stars) and calculate an artificial comparison star. The algorithm decides which stars are the best by taking the weighted average of them.…”
Section: Photometry and Detrendingmentioning
confidence: 99%
“…We used the approach of Broeg et al (2005), which consists in comparing each star with an artificial comparison composed of all the other stars in the field. An iterative process allowed us to identify the variable objects and separate them from those that are best suited to construct the artificial comparison, by weighting them down according to their variability.…”
Section: Differential Photometrymentioning
confidence: 99%