the sample in study, $\overline{z} = 2.225$ and $\delta z = 0.05$, the model dependence of our BAO measurement is actually weak [@Sanchez11].

\[sec4\] Data analyses and Results
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In this section we perform the analysis that lead us to a robust measurement of the angular BAO scale in the DR12Q sample.

The 2PACF and the bin-size selection {#bin-size}
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Note that the 2PACF is estimated for equally spaced values of $\theta$ in the range $0^{\circ} \leq \theta \leq {10^{\circ}}$, in a total of $N_{b}$ bins. However, to extract the BAO bump information we are looking for, $\theta_{\mbox{\footnotesize\sc fit}}$ and $\sigma_{\mbox{\footnotesize\sc fit}}$, we fit the equation (\[ajuste\]) only to the points in the range $0^{\circ} < \theta \leq {3.5^{\circ}}$, well beyond the angular BAO scale.

In order to verify the influence of the binning of the angular separation $\theta$ on our result, we tested $N_{b} = 29, \,33$, and 35 –as presented in figure \[fig1\]– as well as several other numbers of bins. The analyses for $N_{b} =$ 29, 33, and 35, result in the values $\theta_{\mbox{\footnotesize\sc fit}}=1.75^{\circ}\pm0.31^{\circ}; 1.82^{\circ}\pm0.33^{\circ};$ and $1.80^{\circ}\pm0.32^{\circ}$, respectively. These analyses show that $\theta_{\mbox{\footnotesize\sc fit}}$ slightly depends on the choice of $N_{b}$. The criterion to pick the 