Testing the Mutual Consistency of the Pantheon and SDSS/eBOSS BAO Data Sets with Gaussian Processes

Abstract

We test the mutual consistency between the baryon acoustic oscillation measurements from the eBOSS SDSS final release, as well as the Pantheon supernova compilation in a model independent fashion using Gaussian process regression. We also test their joint consistency with the $\Lambda$CDM model, also in a model independent fashion. We also use Gaussian process regression to reconstruct the expansion history that is preferred by these two datasets. While this methodology finds no significant preference for model flexibility beyond $\Lambda$CDM, we are able to generate a number of reconstructed expansion histories that fit the data better than the best-fit $\Lambda$CDM model. These example expansion histories may point the way towards modifications to $\Lambda$CDM. We also constrain the parameters ${\Omega }_k$ and $H_0{r}_d$ both with $\Lambda$CDM and with Gaussian process regression. We find that $H_0{r}_d=10030\pm 130$ km/s and ${\Omega }_k=0.05\pm 0.10$ for $\Lambda$CDM and that $H_0{r}_d=10040\pm 140$ km/s and ${\Omega }_k=0.02\pm 0.20$ for the Gaussian process case.

7 pages, 3 figures

References in corpus (31)

• The clustering of galaxies in the completed SDSS-III Baryon Oscillation Spectroscopic Survey: cosmological analysis of the DR12 galaxy sample
• The Complete Light-curve Sample of Spectroscopically Confirmed Type Ia Supernovae from Pan-STARRS1 and Cosmological Constraints from The Combined Pantheon Sample
• Large Magellanic Cloud Cepheid Standards Provide a 1% Foundation for the Determination of the Hubble Constant and Stronger Evidence for Physics Beyond LambdaCDM
• The Clustering of the SDSS DR7 Main Galaxy Sample I: A 4 per cent Distance Measure at z=0.15
• Sloan Digital Sky Survey IV: Mapping the Milky Way, Nearby Galaxies, and the Distant Universe
• H0LiCOW XIII. A 2.4% measurement of $H_0$ from lensed quasars: $5.3\sigma$ tension between early and late-Universe probes
• Early Dark Energy Can Resolve The Hubble Tension
• KiDS-450: Cosmological parameter constraints from tomographic weak gravitational lensing
• The SDSS-IV extended Baryon Oscillation Spectroscopic Survey: Overview and Early Data
• The trouble with $H_0$
• Two new diagnostics of dark energy
• The Hubble Hunter's Guide
• Planck evidence for a closed Universe and a possible crisis for cosmology
• Calibration of the Tip of the Red Giant Branch (TRGB)
• Curvature tension: evidence for a closed universe
• The Completed SDSS-IV extended Baryon Oscillation Spectroscopic Survey: Baryon acoustic oscillations with Lyman-$\alpha$ forests
• Early Dark Energy Does Not Restore Cosmological Concordance
• Gaussian Process Cosmography
• The Clustering of the SDSS Main Galaxy Sample II: Mock galaxy catalogues and a measurement of the growth of structure from Redshift Space Distortions at $z=0.15$
• The clustering of galaxies in the completed SDSS-III Baryon Oscillation Spectroscopic Survey: Baryon Acoustic Oscillations in Fourier-space
• Baryon acoustic oscillations from the complete SDSS-III Ly$\alpha$-quasar cross-correlation function at $z=2.4$
• A Simple Phenomenological Emergent Dark Energy Model can Resolve the Hubble Tension
• Implications of a transition in the dark energy equation of state for the $H_0$ and ${\sigma }_8$ tensions
• Evidence for Emergent Dark Energy
• Determining Model-independent $H_0$ and Consistency Tests
• Model Independent Tests of Cosmic Growth vs Expansion
• Model independent inference of the expansion history and implications for the growth of structure
• The cosmic distance duality relation with strong lensing and gravitational waves: an opacity-free test
• Model Independent Expansion History from Supernovae: Cosmology versus Systematics
• Debiasing Cosmic Gravitational Wave Sirens
• A non-parametric consistency test of the $\Lambda$CDM model with Planck CMB data

Cited by in corpus (38)

• Challenges for $\Lambda$CDM: An update
• On the Hubble constant tension in the SNe Ia Pantheon sample
• Nonparametric late-time expansion history reconstruction and implications for the Hubble tension in light of recent DESI and type Ia supernovae data
• Model-independent reconstruction of the Interacting Dark Energy Kernel: Binned and Gaussian process
• Model-agnostic assessment of dark energy after DESI DR1 BAO
• Parametric and nonparametric methods hint dark energy evolution
• $\Lambda$CDM Tensions: Localising Missing Physics through Consistency Checks
• Hubble diagram at higher redshifts: Model independent calibration of quasars
• Inferring $S_8(z)$ and $\gamma (z)$ with cosmic growth rate measurements using machine learning
• One spectrum to cure them all: Signature from early Universe solves major anomalies and tensions in cosmology
• Ruling Out New Physics at Low Redshift as a solution to the $H_0$ Tension
• A data-driven Reconstruction of Horndeski gravity via the Gaussian processes
• Revisiting a non-parametric reconstruction of the deceleration parameter from combined background and the growth rate data
• Model selection applied to reconstructions of the Dark Energy
• Constraining the curvature density parameter in cosmology
• Neural network reconstructions for the Hubble parameter, growth rate and distance modulus
• Model independent bounds on Type Ia supernova absolute peak magnitude
• A model-independent reconstruction of dark sector interactions
• Observational cosmology with Artificial Neural Networks
• Phantom braneworld and the Hubble tension
• Exploring new physics in the late Universe's expansion through non-parametric inference
• Neural Networks Optimized by Genetic Algorithms in Cosmology
• A Model-independent Method to Determine $H_0$ Using Time-Delay Lensing, Quasars and Type Ia Supernovae
• LADDER: Revisiting the Cosmic Distance Ladder with Deep Learning Approaches and Exploring its Applications
• Non-parametric reconstruction of cosmological observables using Gaussian Processes Regression
• Minimal model dependent constraints on cosmological nuisance parameters and cosmic curvature from combinations of cosmological data
• Analytical Gaussian Process Cosmography: Unveiling Insights into Matter-Energy Density Parameter at Present
• On The Distribution of Bayesian Evidences
• Dark energy reconstruction analysis with artificial neural networks: Application on simulated Supernova Ia data from Rubin Observatory
• Litmus tests of the flat $\Lambda$CDM model and model-independent measurement of $H_0{r}_{\mathrm{d}}$ with LSST and DESI
• A comprehensive data-driven odyssey to explore the equation of state of dark energy
• Probing the Cosmic Distance Duality Relation via Non-Parametric Reconstruction for High Redshifts
• Model-independent calibration of Gamma-Ray Bursts with neural networks
• Data-driven modeling of rotation curves with artificial neural networks
• Testing $\Lambda$CDM with eBOSS data using a model independent diagnostic
• Breaking the Mass-sheet Degeneracy in Time-delay Cosmology with Lensed and Unlensed Type Ia Supernovae
• Bayesian vs Frequentist: Comparing Bayesian model selection with a frequentist approach using the iterative smoothing method
• Revisiting the Hubble Tension with DESI DR2 Baryon Acoustic Oscillation Observations and Machine Learning Methods