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Systematic Uncertainties Associated with the Cosmological Analysis of the First Pan-STARRS1 Type Ia Supernova Sample

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arxiv 1310.3824 v2 pith:RK7SQGAG submitted 2013-10-14 astro-ph.CO

classification astro-ph.CO
keywords samplemeasurementssystematiccalibrationfindtextrmuncertaintiesanalysis
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abstract

We probe the systematic uncertainties from 113 Type Ia supernovae (SNIa) in the Pan-STARRS1 (PS1) sample along with 197 SN Ia from a combination of low-redshift surveys. The companion paper by Rest et al. (2013) describes the photometric measurements and cosmological inferences from the PS1 sample. The largest systematic uncertainty stems from the photometric calibration of the PS1 and low-z samples. We increase the sample of observed Calspec standards from 7 to 10 used to define the PS1 calibration system. The PS1 and SDSS-II calibration systems are compared and discrepancies up to ~0.02 mag are recovered. We find uncertainties in the proper way to treat intrinsic colors and reddening produce differences in the recovered value of w up to 3%. We estimate masses of host galaxies of PS1 supernovae and detect an insignificant difference in distance residuals of the full sample of 0.037\pm0.031 mag for host galaxies with high and low masses. Assuming flatness in our analysis of only SNe measurements, we find $w = {-1.120^{+0.360}_{-0.206}\textrm{(Stat)} ^{+0.269}_{-0.291}\textrm{(Sys)}}$. With additional constraints from BAO, CMB(Planck) and H0 measurements, we find $w = -1.166^{+0.072}_{-0.069}$ and $\Omega_M=0.280^{+0.013}_{-0.012}$ (statistical and systematic errors added in quadrature). Significance of the inconsistency with $w=-1$ depends on whether we use Planck or WMAP measurements of the CMB: $w_{\textrm{BAO+H0+SN+WMAP}}=-1.124^{+0.083}_{-0.065}$.

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Cited by 2 Pith papers

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    astro-ph.CO 2026-07 conditional novelty 5.0 of 10

    Up to about a quarter of Type Ia supernovae may have an early light-curve bump, but the candidate list depends strongly on the detection method and neither leading explosion model is clearly preferred.

  2. A Critical Reanalysis of Supernova Type Ia Data

    astro-ph.CO 2025-01 conditional novelty 5.0 of 10

    A reanalysis of Pantheon supernova data finds residuals are better fit by a Logistic than a Gaussian distribution, shifting H0 upward and revealing survey inconsistencies.

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