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Table 2

Selection criteria for the golden binary sample.

Criterion Description
Predicted_class = 1 Binary classification that passes the χ2 threshold in Subsection 5.2
log10(χsingle 2/χbinary 2)>0.2${\log _{10}}\left( {\chi _{{\rm{single\;}}}^2/\chi _{{\rm{binary\;}}}^2} \right) > 0.2$ χ2 improvement for binary fit
χsingle 2/Dof<3χbinary 2/Dof<3$\chi _{{\rm{single\;}}}^2/{\rm{Dof}} < 3 \vee \chi _{{\rm{binary\;}}}^2/{\rm{Dof}} < 3$ Good fit quality (either single or binary model)
fit_status_single ≥ 2 ∨ fit_status_binary ≥ 2 Successful convergence (either single or binary model)
m1 < 1.0 M Primary mass cut
[M/H]phot> -1 [M/H]phot cut
MG ≥ 4.5 Absolute magnitude cut
E_binary < 0.2 Extinction cut
0.4 ≤ q ≤ 1.0 Mass-ratio cut
0.2 ≤ flux_ratio_mean ≤ 1.0 Flux-ratio cut
flag_extrap_m2 == False Secondary mass cut (m2 > 0.1)

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