Table 7
Validation and performance statistics for the customised noise models with the “DR2full+” and “DR2new”.
| Pulsar | DR2full+ | DR2new | ||||||
|---|---|---|---|---|---|---|---|---|
| αRNM | αDM |  |
 |
αRN | αDM |  |
 |
|
| J0030+0451 |  |
X | 1.8 | 1.0 |  |
X | 1.6 | 1.1 |
| J0613−0200 |  |
 |
79.9 | 1.0 | X |  |
3.8 | 1.7 |
| J0751+1807 | X |  |
2.8 | 1.9 | X |  |
1.0 | 1.1 |
| J0900−3144 |  |
 |
≥103 | 1.2 |  |
 |
287.8 | 1.5 |
| J1012+5307 |  |
 |
≥103 | 2.0 |  |
 |
≥103 | 1.8 |
| J1022+1001 |  |
 |
X | 1.0 |  |
 |
X | 1.6 |
| J1024−0719 | X |  |
1.2 | 1.2 | X |  |
3.0 | 1.6 |
| J1455−3330 |  |
X | 1.2 | 1.0 |  |
X | 1.0 | 1.2 |
| J1600−3053 |  |
 |
≥103 | 1.2 | X |  |
≥103 | 1.2 |
| J1640+2224 | X |  |
2.6 | 1.4 | X |  |
3.4 | 2.3 |
| J1713+0747 |  |
 |
≥103 | 1.2 |  |
 |
≥103 | 1.1 |
| J1730−2304 | X |  |
6.6 | 1.7 | X |  |
3.4 | 1.8 |
| J1738+0333 |  |
X | 1.8 | 1.0 | X |  |
1.3 | 1.0 |
| J1744−1134 |  |
 |
≥103 | 0.8 | X |  |
2.4 | 2.0 |
| J1751−2857 | X |  |
1.9 | 1.3 | X |  |
3.0 | 1.6 |
| J1801−1417 | X |  |
27.1 | 1.8 | X |  |
8.1 | 1.6 |
| J1804−2717 | X |  |
6.3 | 1.7 | X |  |
6.2 | 1.9 |
| J1843−1113 | X |  |
3.3 | 1.9 | X |  |
2.1 | 2.0 |
| J1857+0943 | X |  |
8.1 | 2.3 | X |  |
2.1 | 2.1 |
| J1909−3744 |  |
 |
≥103 | 1.0 |  |
 |
3.0 | 1.1 |
| J1910+1256 | X |  |
2.2 | 1.8 | X |  |
1.7 | 1.7 |
| J1911+1347 | X |  |
2.7 | 2.0 | X |  |
1.8 | 1.8 |
| J1918−0642 | X |  |
2.1 | 2.0 | X |  |
1.9 | 2.0 |
| J2124−3358 | X |  |
2.7 | 1.6 | X |  |
4.9 | 2.0 |
| J2322+2057 | X | X | 4.1 | 2.0 | X | X | 3.7 | 1.9 |
Notes. For each dataset, the two first columns display the medians and 95% confidence intervals of the chromatic index posterior distributions corresponding, respectively, to the RN and DM components. The values displayed in bold emphasise the numbers that are inconsistent with the expected values (0 for RN and 2 for DM). The third columns show the Bayes factor for the customised model against the standard noise model (RN and DM with resp. 30 and 100 frequency bins). The last columns display the Bayes factor evaluations for an additional red noise component with 30 frequency bins with the customised noise models.
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