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Summary: A BAYESIAN PHOTOMETRIC REDSHIFT
TECHNIQUE FOR MM-SELECTED GALAXIES
Edward L. Chapin, David H. Hughes, Itziar Aretxaga
I.N.A.O.E., Aptdo. Postal 51 y 216, Puebla, Mexico
echapin@inaoep.mx
Abstract We present a Bayesian technique, which uses a luminosity function prior,
to calculate photometric redshifts for optically-obscured starburst galax-
ies. An example is compared with previous Monte Carlo simulations.
Multi-wavelength measurements of the SEDs of local galaxies have
led to the development of radio-(sub)mm-FIR colour indices in order to
derive photometric redshifts for the population of dust-enshrouded star-
burst galaxies identified in the blank-field SCUBA and MAMBO surveys
(Hughes et al. 1998, 2002; Carilli & Yun 2000; Yun & Carilli 2002; Wik-
lind 2003; Aretxaga et al. 2003). The bland spectral features in the
radio-FIR regime lead to a degeneracy between the colours and redshift
(e.g. Blain et al. 2003). The inclusion of luminosity information breaks
some of that degeneracy, and provides robust redshift estimates with un-
certainties of z ±0.5 determined from Monte Carlo simulations. We
present a continuation of our work (see also Hughes - these proceedings)
which, instead of using simulated catalogues, provides an analytical ex-
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