Open Access
Table 1
Predictors used for the neural network.
| Predictor | Description |
|---|---|
| P | Pulsation period of the variable |
| mag | Mean magnitude, intensity-averaged over the model fit |
| Ampl | Light amplitude (maximum minus minimum of the model fit) |
| χ2 | Reduced χ2 of the model fit with respect to the data |
 |
Reduced χ2 of the model fit with respect to the data, divided by Ampl |
| U | Uniformity parameter1 |
| Ubin | Same as U , but calculated on phase points grouped in phase bins of 0.05 |
| n | Number of phase points |
| ∆ϕmax | Largest phase gap between two consecutive phase points |
| Ku | Kurtosis of the light curve |
| Sk | Skewness of the light curve |
| r | Unweighted sum of the residuals divided by the degrees of freedom |
| rA | Same as r, divided by Ampl |
| out1 | Phase points at more than ±1σ distance from the model fit |
| out3 | Phase points at more than ±3σ distance from the model fit |
| out5 | Phase points at more than ±5σ distance from the model fit |
| out10 | Phase points at more than ±10σ distance from the model fit |
| A1 | Fourier-fit coefficient: 1st-order amplitude |
| A2 | Fourier-fit coefficient: 2nd-order amplitude |
| A3 | Fourier-fit coefficient: 3rd-order amplitude |
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