Statistical Comparison of High- and Low-z ULIRGS

Astronomy and Astrophysics – Astronomy

Scientific paper

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Scientific paper

In Farrah et al. (2009) we quantified the similarities and differences between low-redshift ULIRG spectra using two novel techniques. First, we computed a Bayes factor for every pair of spectra. Second, we visualized the resultant Bayes factors using network diagrams. In this work, we extend the analysis to high-redshift ULIRGS and compare the features of the network diagrams to those found for the low-redshift sample.

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