Table 1.
Results of non-stochastic modelling using the mock data.
| Variable | True value | Fitted mean | Fitted st.dev | Tension | Pcumul | Prior low | Prior high |
|---|---|---|---|---|---|---|---|
| β1 | 0.543 | 0.517 | 0.028 | −0.941 | 0.836 | 0 | 10 |
| log10γ | −1.222 | −1.236 | 0.017 | −0.829 | 0.801 | −5 | 2 |
| log10α | −1 | −1.024 | 0.394 | −0.061 | 0.362 | −5 | 2 |
| log10(Mcap/M⊙) | 10.24 | 10.248 | 0.021 | 0.399 | 0.357 | 8 | 12 |
Notes. The table shows variables used for mock generation, their true value, and the average value we acquired from modelling with their uncertainty. The shown tension is the difference between the fitted and true value over uncertainty. The Pcumul is the value of the cumulative distribution of the posterior at the true value; in case of perfect modelling, these values should be uniformly distributed between 0 and 1. The priors show search range in parameter fitting. We conclude that resulting modelling covers values accurately and without noticeable bias.
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