Table 3.
Summary of variability analysis.
| ID | Npts | χred2 | Fvar (%) | K-S p-value | Classification | |
|---|---|---|---|---|---|---|
| RS17 | 135 | 1.18 | 1.32 | 0.041 | Marginal candidate | |
| RS23 | 110 | 1.05 | 0.95 | 0.152 | Non-variable | |
| RS24 | 128 | 1.42 | 2.15 | 0.002 | Variable | |
| RS25 | 115 | 0.98 | < 0.5 | 0.420 | Non-variable | |
| RS33 | 142 | 1.59 | 3.41 | 0.0001 | Confirmed variable |
Notes. The columns, from left to right, are: ID of the RS corresponding to the VVV source; number of data points after the cleaning procedure (σerr < 0.25); reduced chi-squared (χ2/d.o.f.), where a value significantly greater than 1 indicates a departure from the constant model; fractional variability amplitude, representing the percentage of intrinsic flux variation after subtracting instrumental noise; p-value from the Kolmogorov-Smirnov test, values lower than 0.05 indicate that the magnitude distribution is statistically inconsistent with a constant source; final classification based on the triple-criterion consensus.
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