exploring the systematic uncertainties of sne ia
DESCRIPTION
Exploring the systematic uncertainties of SNe Ia. Shuang Wang Northeastern University. Outline. 1. Introduction 2. Previous Works 3. Current Works 4. Summary. Introduction. Three Approaches to Explain Cosmic Accleration. Einstein equation. Modified Gravity. Dark Energy. - PowerPoint PPT PresentationTRANSCRIPT
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Exploring the systematic uncertainties of SNe Ia
Shuang Wang Northeastern University
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Outline
• 1. Introduction
• 2. Previous Works
• 3. Current Works
• 4. Summary
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Introduction
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Three Approaches to Explain Cosmic Accleration
Friedmann equations
Friedmann–Lemaitre–Robertson–Walker metric
Einstein equation
SCDM model is disfavored by observations!
Modified Gravity Dark Energy
Inhomogeneous Universe
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A. Albrecht, et al., ''Report of the Dark Energy Task Force'', arXiv:astro-ph/0609591
SNe Ia BAO
WL GC
A. Albrecht, et al., ''Report of the Dark Energy Task Force'', arXiv:astro-ph/0609591
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systematic uncertainties of SNe Ia
• errors in photometry, calibration and identification of SNe Ia
• host-galaxy extinction
• gravitational lensing
• intrinsic variation of physical properties of SNe Ia
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Lightcurve fitter modelChi^2 Statistics
Supernova Training(Using all SNe)
Light-curve FittingFor one SN
cosmology Information
(μ, α, β)
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Light-curve Fitting
• 1) rest-frame model mags + k-corrections: Mlcs2k2 (Jha,Riess,Kirshner ApJ 659 122 2007)
• 2) rest-frame spectral model: SALT2 (Guy et. al., A&A 466,11,2007)
stretch-luminosity parameter
color-luminosity parameter
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ApJS 192, 1 (2011)
Supernova Constraints and Systematic Uncertainties from the First 3 Years of the Supernova Legacy Survey
A. Conley et. al.
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The possible evolution of α and β
• For the Pan-STARRS1 data Scolnic et. al., arXiv:1310.3824
• For the Union2.1 data Mohlabeng and Ralston, MNRAS 439, L16 (2014)
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Shuang Wang, and Yun Wang
Phys. Rev. D 88, 043511 (2013)
Exploring the Systematic Uncertainties of Type Ia Supernovae as Cosmological Probes
Previous Works
For the SNLS3 data
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Current Works
Phys. Rev. D 89, 063524 (2014)
Exploring the evolution of color-luminosity parameter β and its effects on parameter estimation
Shuang Wang, Yun-He Li, and Xin Zhang
ΛCDM model, wCDM model, CPL model
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SNe only cases
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SNe+CMB+GC cases
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Shuang Wang, Jia-Jia Geng, Yi-Liang Hu, and Xin Zhang
arXiv:1312.0184
Revisit of SNLS3 constraints on holographic dark energy: the effects of varying β and different light-curve fitters
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Summary• For all the models, adding a parameter of β can
reduce the best-fit values of chi^2 by 36• β deviates from a constant at 6σ CL• A time-varying β has significant effect on param
eter estimation• Considering the evolution of β is very helpful for
reducing the tension between supernova and other observations
• Open questions: other systematic uncertainties? How to deal with them?
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