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Table C.1

Two-sample Kolmogorov-Smirnov statistics (2KS) and relative pvalue between observed and simulated one-dimensional distributions shown in Figs. C.1 to C.3 and each model.

D pvalue [%] D pvalue [%] D pvalue [%] D pvalue [%]

Fig. C.1: Radio peak multiplicity distribution 0.42 3e-8 0.37 5e-6 0.45 1e-9 0.417 4e-8
Fig. C.2-left: RQ γ-ray peak multiplicity distribution 0.72 2.4 0.38 2e-2 0.17 33 0.05 99.9
Fig. C.2-right: RL γ-ray peak multiplicity distribution 0.36 1.8 0.35 6e-3 0.41 1e-4 0.22 2.6
Fig. C.3-left: RQ shape-classes distribution 0.72 2.4 0.38 2e-2 0.17 33 0.18 24
Fig. C.3-right: RL shape-classes distribution 0.36 1.8 0.40 3e-4 0.59 2e-11 0.56 2e-10

Notes. The 2KS statistics ranges between 0 and 1 for distributions showing total agreement and total disagreement, respectively. The pvalue is the probability to obtain observed 2KS value under the assumption that the two distributions are obtained from the same distribution (null hypothesis). This is equivalent to reject the null hypothesis at a confidence level of 100-(pvalue). The 2KS test is described in Sect. E. The D parameters relative to the first and second most consistent distributions are highlighted in dark grey and light grey cells, respectively.

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