SNLS3: CONSTRAINTS ON DARK ENERGY COMBINING THE SUPERNOVA LEGACY SURVEY THREE-YEAR DATA WITH OTHER PROBES

By M. Sullivan, J. Guy, A. Conley, N. Regnault, P. Astier, C. Balland, S. Basa, R. Carlberg, D. Fouchez, D. Hardin and 26 more. 2011

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We present observational constraints on the nature of dark energy using the Supernova Legacy Survey three-year sample (SNLS3) of Guy et al. and Conley et al. We use the 472 Type Ia supernovae (SNe Ia) in this sample, accounting for recently discovered correlations between SN Ia luminosity and host galaxy properties, and include the effects of all identified systematic uncertainties directly in the cosmological fits. Combining the SNLS3 data with the full WMAP7 power spectrum, the Sloan Digital Sky Survey luminous red galaxy power spectrum, and a prior on the Hubble constant H0 from SHOES, in a flat universe we find Ωm = 0.269 ± 0.015 and w = −1.061+0.069− 0.068 (where the uncertainties include all statistical and SN Ia systematic errors)—a 6.5% measure of the dark energy equation-of-state parameter w. The statistical and systematic uncertainties are approximately equal, with the systematic uncertainties dominated by the photometric calibration of the SN Ia fluxes—without these calibration effects, systematics contribute only a ∼2% error in w. When relaxing the assumption of flatness, we find Ωm = 0.271 ± 0.015, Ωk = −0.002 ± 0.006, and w = −1.069+0.091− 0.092. Parameterizing the time evolution of w as w(a) = w0 + wa(1 − a) gives w0 = −0.905 ± 0.196, wa = −0.984+1.094− 1.097 in a flat universe. All of our results are consistent with a flat, w = −1 universe. The size of the SNLS3 sample allows various tests to be performed with the SNe segregated according to their light curve and host galaxy properties. We find that the cosmological constraints derived from these different subsamples are consistent. There is evidence that the coefficient, β, relating SN Ia luminosity and color, varies with host parameters at >4σ significance (in addition to the known SN luminosity–host relation); however, this has only a small effect on the cosmological results and is currently a subdominant systematic.

Subfields: Astronomy and Astrophysics

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Citations in the corpus

Improved cosmological constraints from a joint analysis of the SDSS-II and SNLS supernova samples (2014, methodology): “In the cosmology fit, we use as free parameters M1B, the absolute magnitude of supernovae in hosts with Mstellar < 1010 M (following the notation of Sullivan et al. 2011), and ∆M , the magnitude offset of supernovae in more massive hosts (see Eq.”
Berkeley Supernova Ia Program – I. Observations, data reduction and spectroscopic sample of 582 low-redshift Type Ia supernovae (2012, background): “…Ia) have been particularly useful in recent years as a way to accurately measure cosmological parameters (Astier et al. 2006; Riess et al. 2007; Wood-Vasey et al. 2007; Hicken et al. 2009; Kessler et al. 2009; Amanullah et al. 2010; Conley et al. 2011; Sullivan et al. 2011; Suzuki et al. 2012).”
The Intrinsic Alignment of Galaxies and its Impact on Weak Gravitational Lensing in an Era of Precision Cosmology (2014, background): “, 2012), type Ia supernovae (SNe Ia) (Guy et al., 2010; Conley et al., 2011; Sullivan et al., 2011; Suzuki et al., 2012), and weak gravitational lensing (Bacon et al.”
THE SDSS-IV EXTENDED BARYON OSCILLATION SPECTROSCOPIC SURVEY: OVERVIEW AND EARLY DATA (2015, background): “However, because the leading supernova analyses are currently limited by systematic uncertainties (e.g. Sullivan et al. 2011; Betoule et al. 2014), it is difficult to forecast the performance of future surveys.”
The VISTA deep extragalactic observations (VIDEO) survey (2012, methodology): “Furthermore, the SED fitting and photometricredshift accuracy of the SN host galaxies, which now play a key role in the cosmological analyses (Sullivan et al. 2011), will improve substantially when the optical DES data are used in conjunction with the deep VIDEO near-IR data, and aid in the…”
COSMOLOGICAL CONSTRAINTS FROM MEASUREMENTS OF TYPE Ia SUPERNOVAE DISCOVERED DURING THE FIRST 1.5 yr OF THE Pan-STARRS1 SURVEY (2013, background): “As Sullivan et al. (2011) has pointed out, our ability to constrain the properties of dark energy from SN Ia observations is limited by systematic errors from the photometric calibration.”
On the Progenitors of Type Ia Supernovae (2018, positive): “SNe Ia continue to be a key ingredient in the attempts to determine the equation of state (the ratio of pressure to density) of the “dark energy” that appears to propel the acceleration (e.g., Rest et al. 2014; Sullivan et al. 2011).”
SUPERNOVA SIMULATIONS AND STRATEGIES FOR THE DARK ENERGY SURVEY (2011, methodology): “Dedicated supernova (SN) surveys covering cosmologically relevant redshifts, such as the ESSENCE Supernova Survey (Miknaitis et al. 2007; Foley et al. 2009), Supernova Legacy Survey (SNLS, Astier et al. 2006; Conley et al. 2011), Sloan Digital Sky Survey-II Supernova Survey (SDSS, Frieman et al. 200”
The Carnegie Supernova Project. I. Third Photometry Data Release of Low-redshift Type Ia Supernovae and Other White Dwarf Explosions (2017, methodology): “In this age of precision cosmology, observations of SNeIa continue to play a crucial role (see, e.g., Sullivan et al. 2011).”
Hubble Space Telescope spectra of the type Ia supernova SN 2011fe: a tail of low-density, high-velocity material with Z < Z⊙ (2013, background): “Type Ia supernovae (SNe Ia) remain a well-exploited cosmological probe and an immediate route to understanding the nature of dark energy (e.g. Riess et al. 1998; Perlmutter et al. 1999; Riesset al. ⋆ E-mail: P.Mazzali@ljmu.ac.uk 2007; Kessler et al. 2009; Sullivan et al. 2011; Suzuki et al.2012).”
CARNEGIE HUBBLE PROGRAM: A MID-INFRARED CALIBRATION OF THE HUBBLE CONSTANT (2012, methodology): “We use the SN Ia data from Sullivan et al. (2011), consisting of the SNLS 3 year sample, the SDSSII SN sample, the high-z sample from Riess et al. (2007), and several lowredshift samples from the literature.”
The THESEUS space mission concept: science case, design and expected performances (2017, background): “The detection of even a single Ia X-ray event is a powerful discriminator between progenitor models, and constrains the explosion physics with implications for using SN Ia as standard candles and to constrain dark energy (Sullivan et al., 2011).”
Techniques and Review of Absolute Flux Calibration from the Ultraviolet to the Mid-Infrared (2014, background): “…in the flux distribution of stellar standards are the dominant systematic error in measuring relative fluxes of redshifted Type Ia (SN Ia) supernovae and, thus, in determining the nature of the dark energy that is driving the observed accelerating cosmic expansion (Sullivan et al. 2011).”
Measuring Dark Energy Properties with Photometrically Classified Pan-STARRS Supernovae. II. Cosmological Parameters (2017, neutral): “1 with increasing precision (Riess et al. 2004; Kessler et al. 2009; Hicken et al. 2009a; Conley et al. 2011; Sullivan et al. 2011; Suzuki et al. 2012; Rest et al. 2014; Betoule et al. 2014).”