Fig. 7.
Posterior probability distribution of the hyper-parameters describing the IMF normalisation of the CMASS sample, marginalised over the other hyper-parameters. Filled contours: base model. Black solid lines: model with “Arctan” detection efficiency function. Red dotted lines: model with “Gaussian” detection efficiency function. Contour levels mark the 68% and 95% enclosed probability regions. The vertical dashed lines correspond to an average IMF normalisation equal to that of a Chabrier and Salpeter IMF, respectively.
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