Figure 8.
The final median values for RCR for every galaxy, after doing an MC simulation of 1000 iterations. The sample is divided into strongly barred (orange) and weakly barred (blue). The MC is done over observational units (which is in arcsec), which are afterwards converted to kpc. The left column shows the results for the observational units, while the right column shows the results for the physical units. The vertical dashed lines show the median values for every histogram. The full lines are kernel density estimates of these histograms, using a Gaussian kernel. The p-value of a two-sample Anderson–Darling test is shown inside each subplot, with the null hypothesis being that the two samples are drawn from the same population. As the p-value of the comparison in physical units is 0.012 (which corresponds to 2.5σ), we conclude that we see no significant difference between weak and strong bars in terms of their corotation radii.

The final median values for RCR for every galaxy, after doing an MC simulation of 1000 iterations. The sample is divided into strongly barred (orange) and weakly barred (blue). The MC is done over observational units (which is in arcsec), which are afterwards converted to kpc. The left column shows the results for the observational units, while the right column shows the results for the physical units. The vertical dashed lines show the median values for every histogram. The full lines are kernel density estimates of these histograms, using a Gaussian kernel. The p-value of a two-sample Anderson–Darling test is shown inside each subplot, with the null hypothesis being that the two samples are drawn from the same population. As the p-value of the comparison in physical units is 0.012 (which corresponds to 2.5σ), we conclude that we see no significant difference between weak and strong bars in terms of their corotation radii.

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