Table 4
Two-sample Kolmogorov-Smirnov statistics (2KS) and relative pvalue between observed and simulated one-dimensional distributions shown in Figs. 4 to 6 for each model.
| PC | SG | OG | OPC | |||||
| D | pvalue [%] | D | pvalue [%] | D | pvalue [%] | D | pvalue [%] | |
|
|
||||||||
| Fig. 4: γ-ray peak multiplicity | 0.66 | 1e-28 | 0.51 | 7e-16 | 0.32 | 2e-5 | 0.12 | 23.3 |
| Fig. 5-left: Δγ distribution | 0.42 | 2e-8 | 0.18 | 2.5 | 0.54 | 5e-15 | 0.29 | 3e-3 |
| Fig. 5-right: ΔRadio distribution | 0.19 | 57 | 0.21 | 46 | 0.52 | 3e-2 | 0.37 | 2.6 |
| Fig. 6: δ distribution | 0.81 | 1e-5 | 0.50 | 2e-7 | 0.39 | 4e-4 | 0.22 | 2.7 |
Notes. The 2KS statistics D ranges between 0 and 1 for distributions showing total agreement and total disagreement, respectively. The pvalue is the probability to obtain the observed D value under the assumption that the two distributions are obtained from the same distribution (null hypothesis). This is equivalent to rejecting the null hypothesis at a confidence level of 100-(pvalue)%. The 2KS test is described in Section E. The D and pvalue parameters relative to the first and second most consistent distributions are highlighted in dark grey and light grey cells, respectively.
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