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Table A.2.

Feature ranking based on the manual labelling. (Eyer et al. 2023)

ID Feature Description
1 p95_100* 95th percentile of the first 100 frequency peaks based on the G-band lightcurves
2 n05* Number of peaks above 0.5 of the normalised Ψ periodogram based on the G band
3 p99* 99th percentile of all periodogram peaks based on the G-band lightcurves
4 Period_G* Derived period from the G-band lightcurve
5 frac_period* Period over the standard deviation (std) of the three band Gaia lightcurve periods
6 fapG* False alarm probability of the Lomb-Scargle dominant frequency peak (G band)
7 psi_sigvar* G-band median absolute deviation of the periodogram
8 kurtosisG* G-band kurtosis of the periodogram
9 iqr_mag_g_fov The Interquartile Range (IQR) of the G-band time series
10 std* Standard deviation of the G, BP, and RP periods
11 amp_G* Amplitude of variability in the G band (mag.)
12 log_sigvar* Significance of variability in the G band in a log scale
13 mad_mag_g_fov The Median Absolute Deviation (MAD) of the G-band time series
14 range_mag_g_fov The range of the G-band time series
15 abbe_mag_bp The Abbe value of the BP-band time series
16 abbe_mag_rp The Abbe value of the RP-band time series
17 Period_RP* Derived period from the RP-band lightcurve
18 fapBP* False alarm probability of the Lomb-Scargle dominant frequency peak (BP band)
19 abbe_mag_g_fov The Abbe value of the G-band time series
20 stetson_mag_g_fov Stetson G FoV variability index
21 Period_BP* Derived period from the BP-band lightcurve
22 amp_BP* Amplitude of variability in the BP band(mag.)
23 fapRP* False alarm probability of the Lomb-Scargle dominant frequency peak (RP band)
24 std_dev_over_rms_err_mag_g_fov S/N ratio G FoV estimate
25 bp_rp ∤ BP − RP colour
26 outlier_median_g_fov The most outlying measurement with respect to the median
27 skewness_mag_bp The standardised unbiased unweighted skewness of the BP-band time series

Notes. Features marked with (*) were computed in this work, those with (∤) are from the Gaia DR3 source database (Gaia Collaboration 2023), while the rest were obtained from the Gaia variability summary table.

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