Table A.4
Statistical results of ephemeris model fits under different data-quality filtering criteria.
| Data selection criteria | Model | χ2 | ![]() |
AIC | BIC |
|---|---|---|---|---|---|
| After removing 5% highest uncertainties | Linear | 540.55 | 5.005 | 544.55 | 549.95 |
| Quadratic | 510.87 | 4.774 | 516.87 | 524.97 | |
| Cubic | 463.11 | 4.369 | 471.11 | 481.92 | |
| After removing 1σ residual outliers | Linear | 306.77 | 3.371 | 310.77 | 315.84 |
| Quadratic | 282.41 | 3.138 | 288.41 | 296.01 | |
| Cubic | 242.23 | 2.722 | 250.23 | 260.36 | |
| After removing 2σ residual outliers | Linear | 412.27 | 3.853 | 416.27 | 421.65 |
| Quadratic | 388.30 | 3.663 | 394.30 | 402.37 | |
| Cubic | 353.61 | 3.368 | 361.61 | 372.37 | |
Notes. The table reports the total χ2, reduced
, Akaike Information Criterion (AIC), and Bayesian Information Criterion (BIC) for the full dataset, after removing the 5% most uncertain transit times, and after excluding residual outliers beyond the 1σ and 2σ thresholds. All statistics are computed consistently following the uncertainty treatment described in Sect. 5.1, allowing direct comparison of model performance across the different filtering tests.
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