7.7.2 Properties of the input data

The input sources for LPV processing are the ones classified as MIRA_SR by the Classification processing (either with nTransits:2+ or with nTransits:20+ classifiers) which meet the following selection criteria:

• a minimum number of 12 data points in the $G$-band. The maximum number of data points is 238. The limit on the number of good data points led to the exclusion of several nearby and bright LPVs.

• a minimum number of 9 data points in the $G_{\rm RP}$-band.

• a colour $G_{\mathrm{BP}}-G_{\mathrm{RP}}>0.5$ mag; (colour computed as median($G_{\rm BP}$) - median($G_{\rm RP}$))

• a correlation between the $G$-band variability and the $G_{\mathrm{BP}}-G_{\mathrm{RP}}$ colour larger than 0.5 mag. The correlation is computed using the Spearman algorithm.

• a variability amplitude range in $G$ larger than 0.2 mag. The variability amplitude is quantified by the trimmed range (at 95% level).

• a minimum Abbe value (von Neumann (1941) and von Neumann (1942)) of 0.8 on the smoothed $G$ light curve. The smoothed $G$ light curve is computed in an iterative way by merging successive pairs of observations with time difference less than 5 days.