Table 1.

Best-fitted parameters for the two functional forms adopted to characterize the MZR and its scatter for the different estimations of the oxygen abundance analysed here. For each different calibrator, the following is listed (i) the standard deviation of the original set of oxygen abundance values (σlog(O/H)); (ii) the fitted parameters a and b in equation (1) to the MZR; (iii) the standard deviation (σMZR) of the residuals after subtracting the best-fitted curve from the oxygen abundances; and (iv) the coefficients of the polynomial function adopted in equation (2), defined as the pMZR relation, together with the σpMZR, the standard deviation of the residuals once subtracted the best polynomial function. The third decimal in the parameters is included to highlight any difference, despite the fact that we do not consider that any value beyond the 2nd decimal could be significant.

Metallicityσlog(O/H)MZR Best FitσMZRpMZR Polynomial fitσpMZR
Indicator(dex)ab(dex)p0p1p2p3(dex)
O3N2-M130.1208.51 ± 0.020.007 ± 0.0020.1028.478 ± 0.048−0.529 ± 0.0910.409 ± 0.053−0.076 ± 0.0100.077
PP040.1748.73 ± 0.030.010 ± 0.0020.1478.707 ± 0.067−0.797 ± 0.1280.610 ± 0.074−0.113 ± 0.0130.112
N2-M130.1338.50 ± 0.020.008 ± 0.0010.1058.251 ± 0.047−0.207 ± 0.0880.243 ± 0.051−0.048 ± 0.0090.078
ONS0.1688.51 ± 0.020.011 ± 0.0010.1388.250 ± 0.083−0.428 ± 0.1590.427 ± 0.093−0.086 ± 0.0170.101
R230.1028.48 ± 0.020.004 ± 0.0010.1018.642 ± 0.076−0.589 ± 0.1500.370 ± 0.092−0.063 ± 0.0180.087
pyqz0.2539.02 ± 0.040.017 ± 0.0020.2118.647 ± 0.088−0.718 ± 0.1710.682 ± 0.101−0.133 ± 0.0190.143
t20.1398.84 ± 0.020.008 ± 0.0010.1158.720 ± 0.065−0.487 ± 0.1240.415 ± 0.072−0.080 ± 0.0130.087
M080.2068.88 ± 0.030.010 ± 0.0010.1698.524 ± 0.070−0.148 ± 0.1340.218 ± 0.080−0.040 ± 0.0150.146
T040.1508.84 ± 0.020.007 ± 0.0010.1468.691 ± 0.102−0.200 ± 0.2040.164 ± 0.126−0.023 ± 0.0240.123
EPM090.0778.54 ± 0.010.002 ± 0.0010.0748.456 ± 0.044−0.097 ± 0.0850.130 ± 0.051−0.032 ± 0.0100.071
DOP090.3488.94 ± 0.080.020 ± 0.0040.2888.666 ± 0.184−0.991 ± 0.3620.738 ± 0.217−0.114 ± 0.0410.207
Metallicityσlog(O/H)MZR Best FitσMZRpMZR Polynomial fitσpMZR
Indicator(dex)ab(dex)p0p1p2p3(dex)
O3N2-M130.1208.51 ± 0.020.007 ± 0.0020.1028.478 ± 0.048−0.529 ± 0.0910.409 ± 0.053−0.076 ± 0.0100.077
PP040.1748.73 ± 0.030.010 ± 0.0020.1478.707 ± 0.067−0.797 ± 0.1280.610 ± 0.074−0.113 ± 0.0130.112
N2-M130.1338.50 ± 0.020.008 ± 0.0010.1058.251 ± 0.047−0.207 ± 0.0880.243 ± 0.051−0.048 ± 0.0090.078
ONS0.1688.51 ± 0.020.011 ± 0.0010.1388.250 ± 0.083−0.428 ± 0.1590.427 ± 0.093−0.086 ± 0.0170.101
R230.1028.48 ± 0.020.004 ± 0.0010.1018.642 ± 0.076−0.589 ± 0.1500.370 ± 0.092−0.063 ± 0.0180.087
pyqz0.2539.02 ± 0.040.017 ± 0.0020.2118.647 ± 0.088−0.718 ± 0.1710.682 ± 0.101−0.133 ± 0.0190.143
t20.1398.84 ± 0.020.008 ± 0.0010.1158.720 ± 0.065−0.487 ± 0.1240.415 ± 0.072−0.080 ± 0.0130.087
M080.2068.88 ± 0.030.010 ± 0.0010.1698.524 ± 0.070−0.148 ± 0.1340.218 ± 0.080−0.040 ± 0.0150.146
T040.1508.84 ± 0.020.007 ± 0.0010.1468.691 ± 0.102−0.200 ± 0.2040.164 ± 0.126−0.023 ± 0.0240.123
EPM090.0778.54 ± 0.010.002 ± 0.0010.0748.456 ± 0.044−0.097 ± 0.0850.130 ± 0.051−0.032 ± 0.0100.071
DOP090.3488.94 ± 0.080.020 ± 0.0040.2888.666 ± 0.184−0.991 ± 0.3620.738 ± 0.217−0.114 ± 0.0410.207
Table 1.

Best-fitted parameters for the two functional forms adopted to characterize the MZR and its scatter for the different estimations of the oxygen abundance analysed here. For each different calibrator, the following is listed (i) the standard deviation of the original set of oxygen abundance values (σlog(O/H)); (ii) the fitted parameters a and b in equation (1) to the MZR; (iii) the standard deviation (σMZR) of the residuals after subtracting the best-fitted curve from the oxygen abundances; and (iv) the coefficients of the polynomial function adopted in equation (2), defined as the pMZR relation, together with the σpMZR, the standard deviation of the residuals once subtracted the best polynomial function. The third decimal in the parameters is included to highlight any difference, despite the fact that we do not consider that any value beyond the 2nd decimal could be significant.

Metallicityσlog(O/H)MZR Best FitσMZRpMZR Polynomial fitσpMZR
Indicator(dex)ab(dex)p0p1p2p3(dex)
O3N2-M130.1208.51 ± 0.020.007 ± 0.0020.1028.478 ± 0.048−0.529 ± 0.0910.409 ± 0.053−0.076 ± 0.0100.077
PP040.1748.73 ± 0.030.010 ± 0.0020.1478.707 ± 0.067−0.797 ± 0.1280.610 ± 0.074−0.113 ± 0.0130.112
N2-M130.1338.50 ± 0.020.008 ± 0.0010.1058.251 ± 0.047−0.207 ± 0.0880.243 ± 0.051−0.048 ± 0.0090.078
ONS0.1688.51 ± 0.020.011 ± 0.0010.1388.250 ± 0.083−0.428 ± 0.1590.427 ± 0.093−0.086 ± 0.0170.101
R230.1028.48 ± 0.020.004 ± 0.0010.1018.642 ± 0.076−0.589 ± 0.1500.370 ± 0.092−0.063 ± 0.0180.087
pyqz0.2539.02 ± 0.040.017 ± 0.0020.2118.647 ± 0.088−0.718 ± 0.1710.682 ± 0.101−0.133 ± 0.0190.143
t20.1398.84 ± 0.020.008 ± 0.0010.1158.720 ± 0.065−0.487 ± 0.1240.415 ± 0.072−0.080 ± 0.0130.087
M080.2068.88 ± 0.030.010 ± 0.0010.1698.524 ± 0.070−0.148 ± 0.1340.218 ± 0.080−0.040 ± 0.0150.146
T040.1508.84 ± 0.020.007 ± 0.0010.1468.691 ± 0.102−0.200 ± 0.2040.164 ± 0.126−0.023 ± 0.0240.123
EPM090.0778.54 ± 0.010.002 ± 0.0010.0748.456 ± 0.044−0.097 ± 0.0850.130 ± 0.051−0.032 ± 0.0100.071
DOP090.3488.94 ± 0.080.020 ± 0.0040.2888.666 ± 0.184−0.991 ± 0.3620.738 ± 0.217−0.114 ± 0.0410.207
Metallicityσlog(O/H)MZR Best FitσMZRpMZR Polynomial fitσpMZR
Indicator(dex)ab(dex)p0p1p2p3(dex)
O3N2-M130.1208.51 ± 0.020.007 ± 0.0020.1028.478 ± 0.048−0.529 ± 0.0910.409 ± 0.053−0.076 ± 0.0100.077
PP040.1748.73 ± 0.030.010 ± 0.0020.1478.707 ± 0.067−0.797 ± 0.1280.610 ± 0.074−0.113 ± 0.0130.112
N2-M130.1338.50 ± 0.020.008 ± 0.0010.1058.251 ± 0.047−0.207 ± 0.0880.243 ± 0.051−0.048 ± 0.0090.078
ONS0.1688.51 ± 0.020.011 ± 0.0010.1388.250 ± 0.083−0.428 ± 0.1590.427 ± 0.093−0.086 ± 0.0170.101
R230.1028.48 ± 0.020.004 ± 0.0010.1018.642 ± 0.076−0.589 ± 0.1500.370 ± 0.092−0.063 ± 0.0180.087
pyqz0.2539.02 ± 0.040.017 ± 0.0020.2118.647 ± 0.088−0.718 ± 0.1710.682 ± 0.101−0.133 ± 0.0190.143
t20.1398.84 ± 0.020.008 ± 0.0010.1158.720 ± 0.065−0.487 ± 0.1240.415 ± 0.072−0.080 ± 0.0130.087
M080.2068.88 ± 0.030.010 ± 0.0010.1698.524 ± 0.070−0.148 ± 0.1340.218 ± 0.080−0.040 ± 0.0150.146
T040.1508.84 ± 0.020.007 ± 0.0010.1468.691 ± 0.102−0.200 ± 0.2040.164 ± 0.126−0.023 ± 0.0240.123
EPM090.0778.54 ± 0.010.002 ± 0.0010.0748.456 ± 0.044−0.097 ± 0.0850.130 ± 0.051−0.032 ± 0.0100.071
DOP090.3488.94 ± 0.080.020 ± 0.0040.2888.666 ± 0.184−0.991 ± 0.3620.738 ± 0.217−0.114 ± 0.0410.207
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