New Constraints on Anisotropic Expansion from Supernovae Type Ia
arXiv:2108.12497 · doi:10.1093/mnras/stac1223
Abstract
We re-examine the contentious question of constraints on anisotropic expansion from Type Ia supernovae (SNIa) in the light of a novel determination of peculiar velocities, which are crucial to test isotropy with supernovae out to distances Mpc. We re-analyze the Joint Light-Curve Analysis (JLA) Supernovae (SNe) data, improving on previous treatments of peculiar velocity corrections and their uncertainties (both statistical and systematic) by adopting state-of-the-art flow models constrained independently via the 2M galaxy redshift compilation. We also introduce a novel procedure to account for colour-based selection effects, and adjust the redshift of low- SNe self-consistently in the light of our improved peculiar velocity model. We adopt the Bayesian hierarchical model \texttt{BAHAMAS} to constrain a dipole in the distance modulus in the context of the CDM model and the deceleration parameter in a phenomenological Cosmographic expansion. We do not find any evidence for anisotropic expansion, and place a tight upper bound on the amplitude of a dipole, (95\% credible interval) in a CDM setting, and in the Cosmographic expansion approach. Using Bayesian model comparison, we obtain posterior odds in excess of 900:1 (640:1) against a constant-in-redshift dipole for CDM (the Cosmographic expansion). In the isotropic case, an accelerating universe is favoured with odds of with respect to a decelerating one.
25 Pages, 14 figures, submitted to MNRAS
References in corpus (30)
- In the Realm of the Hubble tension a Review of Solutions
- New Hubble Space Telescope Discoveries of Type Ia Supernovae at z > 1: Narrowing Constraints on the Early Behavior of Dark Energy
- Improved Cosmological Constraints from New, Old and Combined Supernova Datasets
- Spectra and Light Curves of Six Type Ia Supernovae at 0.511 < z < 1.12 and the Union2 Compilation
- Some Aspects of Measurement Error in Linear Regression of Astronomical Data
- Bayes in the sky: Bayesian inference and model selection in cosmology
- Improved Dark Energy Constraints from ~100 New CfA Supernova Type Ia Light Curves
- Supernova Constraints and Systematic Uncertainties from the First 3 Years of the Supernova Legacy Survey
- Measurements of the Hubble Constant: Tensions in Perspective
- The Sloan Digital Sky Survey-II Supernova Survey: Technical Summary
- SNLS3: Constraints on Dark Energy Combining the Supernova Legacy Survey Three Year Data with Other Probes
- Cosmological parameters from the comparison of peculiar velocities with predictions from the 2M++ density field
- Correcting Type Ia Supernova Distances for Selection Biases and Contamination in Photometrically Identified Samples
- Power asymmetry in WMAP and Planck temperature sky maps as measured by a local variance estimator
- Joint analysis of 6dFGS and SDSS peculiar velocities for the growth rate of cosmic structure and tests of gravity
- Ages of Type Ia Supernovae Over Cosmic Time
- Testing the Isotropy of the Universe with Type Ia Supernovae
- Alignment of quasar polarizations with large-scale structures
- Apparent cosmic acceleration from type Ia supernovae
- Is the expansion of the universe accelerating? All signs point to yes
- Probing the anisotropic expansion from supernovae and GRBs in a model-independent way
- First-Year Spectroscopy for the SDSS-II Supernova Survey
- Testing the Consistency of Dust Laws in SN Ia Host Galaxies: A BayeSN Examination of Foundation DR1
- Anisotropy of the Universe via the Pantheon supernovae sample revisited
- Constrained realizations of 2MRS density and peculiar velocity fields: growth rate and local flow
- The need for accurate redshifts in supernova cosmology
- Peculiar-velocity cosmology with Types Ia and II supernovae
- Percent-Level Test of Isotropic Expansion Using Type Ia Supernovae
- Assessing the accuracy of cosmological parameters estimated from velocity -- density comparisons via simulations
- Asymmetry in the reconstructed deceleration parameter