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Table 1.

Best-fit hyperparameters of the prior probability distributions of the two-population mixture model.

Hubble flow Hubble flow + calibration sample
old pop (low X1) young pop (high X1) old pop (low X1) young pop (high X1)
M ^ B $ \widehat{M}_{\mathrm{B}} $ 19 . 37 0.03 + 0.03 ( h = 0.7 ) $ -19.37 ^{+ 0.03 }_{- 0.03 }\,(h=0.7) $ 19 . 33 0.03 + 0.03 ( h = 0.7 ) $ -19.33 ^{+ 0.03 }_{- 0.03 }\,(h=0.7) $ 19 . 34 0.05 + 0.05 $ -19.34 ^{+ 0.05 }_{- 0.05 } $ 19 . 28 0.04 + 0.04 $ -19.28 ^{+ 0.04 }_{- 0.04 } $
X ^ 1 , HF $ \widehat{X}_{1,\mathrm{HF}} $ 1 . 09 0.13 + 0.13 $ -1.09 ^{+ 0.13 }_{- 0.13 } $ 0 . 60 0.07 + 0.07 $ 0.60 ^{+ 0.07 }_{- 0.07 } $ 1 . 12 0.11 + 0.11 $ -1.12 ^{+ 0.11 }_{- 0.11 } $ 0 . 59 0.06 + 0.06 $ 0.59 ^{+ 0.06 }_{- 0.06 } $
σX1, HF 0 . 73 0.08 + 0.08 $ 0.73 ^{+ 0.08 }_{- 0.08 } $ 0 . 52 0.04 + 0.04 $ 0.52 ^{+ 0.04 }_{- 0.04 } $ 0 . 72 0.07 + 0.07 $ 0.72 ^{+ 0.07 }_{- 0.07 } $ 0 . 53 0.04 + 0.04 $ 0.53 ^{+ 0.04 }_{- 0.04 } $
c int ^ $ \widehat{c_{\mathrm{int}}} $ 0 . 072 0.011 + 0.011 $ -0.072 ^{+ 0.011 }_{- 0.011 } $ 0 . 075 0.012 + 0.012 $ -0.075 ^{+ 0.012 }_{- 0.012 } $ 0 . 074 0.011 + 0.011 $ -0.074 ^{+ 0.011 }_{- 0.011 } $ 0 . 067 0.012 + 0.012 $ -0.067 ^{+ 0.012 }_{- 0.012 } $
σcint 0 . 041 0.010 + 0.010 $ 0.041 ^{+ 0.010 }_{- 0.010 } $ 0 . 051 0.009 + 0.009 $ 0.051 ^{+ 0.009 }_{- 0.009 } $ 0 . 039 0.010 + 0.010 $ 0.039 ^{+ 0.010 }_{- 0.010 } $ 0 . 059 0.008 + 0.008 $ 0.059 ^{+ 0.008 }_{- 0.008 } $
τ 0 . 082 0.011 + 0.011 $ 0.082 ^{+ 0.011 }_{- 0.011 } $ 0 . 055 0.012 + 0.011 $ 0.055 ^{+ 0.011 }_{- 0.012 } $ 0 . 083 0.011 + 0.011 $ 0.083 ^{+ 0.011 }_{- 0.011 } $ 0 . 050 0.012 + 0.011 $ 0.050 ^{+ 0.011 }_{- 0.012 } $
R B ^ $ \widehat{R_{\mathrm{B}}} $ 3 . 030 0.177 + 0.177 $ 3.030 ^{+ 0.177 }_{- 0.177 } $ 4 . 074 0.494 + 0.510 $ 4.074 ^{+ 0.510 }_{- 0.494 } $ 3 . 018 0.171 + 0.169 $ 3.018 ^{+ 0.169 }_{- 0.171 } $ 4 . 281 0.610 + 0.676 $ 4.281 ^{+ 0.676 }_{- 0.610 } $
σRB 0 . 323 0.207 + 0.191 $ 0.323 ^{+ 0.191 }_{- 0.207 } $ 0 . 915 0.279 + 0.313 $ 0.915 ^{+ 0.313 }_{- 0.279 } $ 0 . 316 0.202 + 0.188 $ 0.316 ^{+ 0.188 }_{- 0.202 } $ 0 . 934 0.297 + 0.329 $ 0.934 ^{+ 0.329 }_{- 0.297 } $
σMB 0 . 104 0.011 + 0.011 $ 0.104 ^{+ 0.011 }_{- 0.011 } $ 0 . 059 0.017 + 0.017 $ 0.059 ^{+ 0.017 }_{- 0.017 } $ 0 . 104 0.011 + 0.011 $ 0.104 ^{+ 0.011 }_{- 0.011 } $ 0 . 051 0.018 + 0.018 $ 0.051 ^{+ 0.018 }_{- 0.018 } $
α 0 . 175 0.014 + 0.014 $ 0.175 ^{+ 0.014 }_{- 0.014 } $ 0 . 185 0.012 + 0.012 $ 0.185 ^{+ 0.012 }_{- 0.012 } $
β 2 . 797 0.231 + 0.229 $ 2.797 ^{+ 0.229 }_{- 0.231 } $ 2 . 821 0.182 + 0.181 $ 2.821 ^{+ 0.181 }_{- 0.182 } $
fo, HF = 1 − fy, HF 0 . 484 0.055 + 0.054 $ 0.484 ^{+ 0.054 }_{- 0.055 } $ 0 . 471 0.047 + 0.047 $ 0.471 ^{+ 0.047 }_{- 0.047 } $
fo, cal = 1 − fy, cal ≡0

Notes. These results were obtained from fitting type Ia supernovae in the Hubble flow (left) or from a joint analysis of the Hubble flow and calibration samples (right). Best-fit results are provided as the posterior mean values and errors given by credible intervals containing 68 per cent of the marginalised probabilities. Two parameters (α and β) are assumed to be the same in the two supernova populations. The parameters, ‘HF’ and ‘cal’, denote those used exclusively in the Hubble flow or the calibration sample.

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