A Bayesian classifier for photometric redshifts: identification of high-redshift clusters
نویسندگان
چکیده
منابع مشابه
A Bayesian Classifier for Photometric Redshifts: Identification of high redshift clusters
Photometric redshift classifiers provide a means of estimating galaxy redshifts from observations using a small number of broad-band filters. However, the accuracy with which redshifts can be determined is sensitive to the star formation history of the galaxy, for example the effects of age, metallicity and on-going star formation. We present a photometric classifier that explicitly takes into ...
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The Sloan Digital Sky Survey (SDSS) is an extremely large astronomical survey conducted with the intention of mapping more than a quarter of the sky (http://www.sdss.org/). Among the data it is generating are spectroscopic and photometric measurements, both allowing estimation of the redshift of galaxies. The former is precise but expensive to gather, the latter is far cheaper but corresponding...
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A recent comprehensive photometric survey of 45 low-z X-ray selected Abell clusters (López-Cruz 1997) has measured significant variations in the faint end slope of the luninosity function (LF). This result has indicated that dwarf galaxies (dGs) have different mixtures in relation with the cluster environment. Clusters having a central " cD-like " galaxy have a flatter faint end slope than non-...
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ژورنال
عنوان ژورنال: Monthly Notices of the Royal Astronomical Society
سال: 1999
ISSN: 0035-8711,1365-2966
DOI: 10.1046/j.1365-8711.1999.02184.x