Improved cosmological constraints from a joint analysis of the SDSS-II and SNLS supernova samples

By Marc Betoule, R. Kessler, J. Guy, J. Mosher, D. Hardin, R. Biswas, P. Astier, P. El-Hage, M. Konig, S. Kuhlmann and 53 more. 2014

1,618 citations recorded by the source corpus.

Aims. We present cosmological constraints from a joint analysis of type Ia supernova (SN Ia) observations obtained by the SDSS-II and SNLS collaborations. The dataset includes several low-redshift samples (z< 0.1), all three seasons from the SDSS-II (0.05 <z< 0.4), and three years from SNLS (0.2 <z< 1), and it totals 740 spectroscopically confirmed type Ia supernovae with high-quality light curves. Methods. We followed the methods and assumptions of the SNLS three-year data analysis except for the following important improvements: 1) the addition of the full SDSS-II spectroscopically-confirmed SN Ia sample in both the training of the SALT2 light-curve model and in the Hubble diagram analysis (374 SNe); 2) intercalibration of the SNLS and SDSS surveys and reduced systematic uncertainties in the photometric calibration, performed blindly with respect to the cosmology analysis; and 3) a thorough investigation of systematic errors associated with the SALT2 modeling of SN Ia light curves. Results. We produce recalibrated SN Ia light curves and associated distances for the SDSS-II and SNLS samples. The large SDSS-II sample provides an effective, independent, low-z anchor for the Hubble diagram and reduces the systematic error from calibration systematics in the low-z SN sample. For a flat ΛCDM cosmology, we find Ωm =0.295 ± 0.034 (stat+sys), a value consistent with the most recent cosmic microwave background (CMB) measurement from the Planck and WMAP experiments. Our result is 1.8σ (stat+sys) different than the previously published result of SNLS three-year data. The change is due primarily to improvements in the SNLS photometric calibration. When combined with CMB constraints, we measure a constant dark-energy equation of state parameter w =−1.018 ± 0.057 (stat+sys) for a flat universe. Adding baryon acoustic oscillation distance measurements gives similar constraints: w =−1.027 ± 0.055. Our supernova measurements provide the most stringent constraints to date on the nature of dark energy.

Subfields: Astronomy and Astrophysics, Nuclear and High Energy Physics

View Paper: https://www.semanticscholar.org/paper/b1ee6e4f79fce423d636cea3d1824cc00580fea0

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Citations in the corpus

H0LiCOW – I. H0 Lenses in COSMOGRAIL's wellspring: program overview (2016, background): “…as supernova (SN) that probe relative luminosity distances (e.g., Riess et al. 1998; Perlmutter et al. 1999; Conley et al. 2011; Suzuki et al. 2012; Betoule et al. 2014) and BAO (e.g., Eisenstein et al. 2005; Percival et al. 2010; Blake et al. 2011; Anderson et al. 2014) that yield absolute…”
KiDS+VIKING-450: Cosmic shear tomography with optical and infrared data (2018, background): “…over the past couple of decades, ranging from the Hubble Article published by EDP Sciences A69, page 1 of 30 diagram of supernovae of type Ia (e.g. Betoule et al. 2014) over galaxy redshift surveys (e.g. Alam et al. 2017), determinations of the galaxy cluster mass function (e.g. Bocquet et al.…”
Possible signals of vacuum dynamics in the Universe (2017, methodology): “In this work, we fit the ΛCDM, XCDM, CPL and the three DVMs to the cosmological data from type Ia supernovae c© 0000 RAS, MNRAS 000, 000–000 (Betoule et al. 2014), BAOs (Beutler et al. 2011; Kazin et al. 2014; Ross et al. 2015; Gil-Maŕın et al. 2017; Delubac et al. 2015; Aubourg et al. 2015), the…”
Baryon acoustic oscillations from the cross-correlation of Lyα absorption and quasars in eBOSS DR14 (2019, methodology): “The addition of BAO and type Ia supernova (SN Ia) data (Betoule et al. 2014) generalizes the “CMB” measurement of H0, which assumes flatness, to give an “inverse-ladder” measurement of H0 (Aubourg et al. 2015) that can be compared with distance-ladder measurements (Riess et al. 2016, 2018a,b).”
PHOTOMETRIC SUPERNOVA CLASSIFICATION WITH MACHINE LEARNING (2016, methodology): “The current commonly used dataset, the Joint Light curve Analysis (JLA) (Betoule et al. 2014), contains only 740 supernovae, while DES is expected to detect thousands (Bernstein et al. 2012) and LSST hundreds of thousands (LSST Science Collaboration 2009) of supernovae.”
The Carnegie-Chicago Hubble Program. VIII. An Independent Determination of the Hubble Constant Based on the Tip of the Red Giant Branch (2019, methodology): “…oscillations (BAOs; e.g., Cole et al. 2005; Eisenstein et al. 2005; Aubourg et al. 2015; Alam et al. 2017), and observations of the magnitude–redshift relation for highredshift Type Ia supernovae (SNeIa; e.g., Riess et al. 1998; Perlmutter et al. 1999; Betoule et al. 2014; Scolnic et al. 2018).”
The Cardassian expansion revisited: constraints from updated Hubble parameter measurements and type Ia supernova data (2017, methodology): “Recently, Betoule et al. (2014) presented the so-called full JLA (fJLA) sample which contains 740 points spanning a redshift range 0.01 < z < 1.2.”
COSMOLOGICAL CONSTRAINTS FROM GALAXY CLUSTERS IN THE 2500 SQUARE-DEGREE SPT-SZ SURVEY (2016, result): “(27) This level of w-uncertainty is ∼2.5 times larger compared to the constraints when adding either of the BAO or SNe data sets to the Planck+WP measurements (Aubourg et al. 2015; Betoule et al. 2014).”
Sounds Discordant: Classical Distance Ladder and ΛCDM-based Determinations of the Cosmological Sound Horizon (2018, methodology): “Using R16 for the H0 constraint, Betoule et al. (2014) for the SN Ia data, and the same BOSS BAO data, Verde et al. (2017b) found, also for a phenomenological parameterization of H(z), that rs=138.5±4.3 Mpc assuming ΩK=0.”
KiDS-450: cosmological parameter constraints from tomographic weak gravitational lensing (2016, background): “…(CMB) radiation (e.g. Hinshaw et al. 2013; Planck Collaboration XIII 2016a), the Hubble diagram of Type Ia super- E-mail: hendrik@astro.uni-bonn.de (HH); viola@strw.leidenuniv.nl (MV) novae (SNIa; e.g. Betoule et al. 2014), big bang nucleosynthesis (e.g. Fields & Olive 2006), and galaxy clustering.”
The clustering of galaxies in the completed SDSS-III Baryon Oscillation Spectroscopic Survey: tomographic BAO analysis of DR12 combined sample in Fourier space (2016, methodology): “21, where the 68 and 95 per cent CL contours of w0, wa are plotted for two different data combinations (‘Base’ means a data combination of Planck, JLA, WiggleZ and CFHTLenS).”