Table B.1.
Best-fit parameters of the polynomial plus sinusoidal model by MCMC.
| Coeff. | Value | Error | |
|---|---|---|---|
| c1 | −0.8765 × 10+0 | 0.5456 × 10+0 | |
| c2 | −0.1567 × 10−1 | 0.3362 × 10−3 | |
| c3 | −0.2160 × 10−5 | 0.1424 × 10−6 | |
| c4 | 0.1071 × 10+2 | 0.4788 × 10+0 | |
| c5 | −0.2539 × 10+1 | 0.5617 × 10+0 | |
| Associated quantities | |||
| Name | Unit | Value | Error |
| P2 | (d) | 4941 | 191 |
| rms | (min) | 1.382 | 0.197 |
| Pdot | (d yr−1) | −1.095 × 10−6 | 0.072 × 10−6 |
| Ampl | (min) | 11.007 | 0.484 |
Notes. For the meaning of the regression coefficients {ci} see Fig. B.1. Errors on {ci} are full standard deviations (i.e., including fitting error from P2). The rms of the fit is unbiased, but omitting the correction to the sixth parameter P2. In the MCMC process rms and Pdot are fitted parameters and the related {ci} values are computed with the aid of these parameters.
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