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Table 4.

HCN/CO(2 − 1) and SFR/HCN correlations.

x-axis y-axis Regime Slope (stacks) Slope (los) Corr. (p) Scatter
rgal HCN/CO(2 − 1) ≤2.0 kpc −0.38 −0.26 (0.02) −0.86 (0.0) 0.14
> 2.0 kpc 0.00 0.00 (0.01) −0.03 (0.306) 0.23
SFRHα/HCN ≤2.8 kpc 0.34 0.22 (0.06) 0.32 (0.0) 0.41
> 2.8 kpc 0.08 0.08 (0.01) 0.41 (0.0) 0.38

PDE HCN/CO(2 − 1) 4.0 × 10 5 k B K cm 3 $ {\leq} 4.0 \times 10^{5}\,k_{\mathrm{B}}\,\mathrm{K}\,\mathrm{cm}^{-3} $ 0.18 0.23 (0.02) 0.47 (0.0) 0.24
> 4.0 × 10 5 k B K cm 3 $ { > } 4.0 \times 10^{5}\,k_{\mathrm{B}}\,\mathrm{K}\,\mathrm{cm}^{-3} $ 0.42 0.40 (0.03) 0.64 (0.0) 0.16
SFRHα/HCN 1.6 × 10 6 k B K cm 3 $ {\leq} 1.6 \times 10^{6}\,k_{\mathrm{B}}\,\mathrm{K}\,\mathrm{cm}^{-3} $ −0.32 −0.53 (0.04) −0.47 (0.0) 0.54
> 1.6 × 10 6 k B K cm 3 $ { > }1.6 \times 10^{6}\,k_{\mathrm{B}}\,\mathrm{K}\,\mathrm{cm}^{-3} $ −0.89 −0.70 (0.22) −0.39 (0.003) 0.39

Notes. Linear regression parameters for the respective relations and x-axis regimes presented in Fig. 6. The forth column is showing the slopes obtained from the multivariate adaptive regression spline (MARS) method, producing a continuous piece-wise linear regression. Columns five to seven show the linear regression parameters obtained from the individual sight-line measurements, taking into account all data in the respective regime, using the linear regression tool LinMix. ‘Corr.’ is the Pearson correlation coefficient of sight-line data and ‘p’ is the associated p-value. The scatter denotes the 3σ standard deviation of the detected sight-line data about the fit line. The cloud-scale pressure thresholds correspond to 260 pc-scale beam-matched values of P DE 1.5 × 10 5 k B K cm 3 $ {P_{\text{ DE}}}\approx 1.5 \times 10^{5}\,k_{\mathrm{B}}\,\mathrm{K}\,\mathrm{cm}^{-3} $ and P DE = 6.3 × 10 5 k B K cm 3 $ {P_{\text{ DE}}}= 6.3 \times 10^{5}\,k_{\mathrm{B}}\,\mathrm{K}\,\mathrm{cm}^{-3} $, respectively.

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