Neural network reconstruction of cosmology using the Pantheon compilation

Abstract

In this work, we reconstruct the Hubble diagram using various data sets, including correlated ones, in Artificial Neural Networks (ANN). Using ReFANN, that was built for data sets with independent uncertainties, we expand it to include non-Guassian data points, as well as data sets with covariance matrices among others. Furthermore, we compare our results with the existing ones derived from Gaussian processes and we also perform null tests in order to test the validity of the concordance model of cosmology.

arXiv comment11 pages, 12 sets of figures, Accepted for publication in EPJ C

References in corpus (69)

• Observational Evidence from Supernovae for an Accelerating Universe and a Cosmological Constant
• Measurements of Omega and Lambda from 42 High-Redshift Supernovae
• emcee: The MCMC Hammer
• Dynamics of dark energy
• The Cosmological Constant and Dark Energy
• 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
• A Comprehensive Measurement of the Local Value of the Hubble Constant with 1 km/s/Mpc Uncertainty from the Hubble Space Telescope and the SH0ES Team
• In the Realm of the Hubble tension $-$ a Review of Solutions
• Dark Matter Search Results from a One Tonne$\times$Year Exposure of XENON1T
• Results from a search for dark matter in the complete LUX exposure
• A 6% measurement of the Hubble parameter at $z\sim 0.45$: direct evidence of the epoch of cosmic re-acceleration
• H0LiCOW XIII. A 2.4% measurement of $H_0$ from lensed quasars: $5.3\sigma$ tension between early and late-Universe probes
• Cosmic Chronometers: Constraining the Equation of State of Dark Energy. I: H(z) Measurements
• Raising the bar: new constraints on the Hubble parameter with cosmic chronometers at z$\sim$2
• Improved constraints on the expansion rate of the Universe up to z~1.1 from the spectroscopic evolution of cosmic chronometers
• Challenges for $\Lambda$CDM: An update
• Cosmic Distances Calibrated to 1% Precision with Gaia EDR3 Parallaxes and Hubble Space Telescope Photometry of 75 Milky Way Cepheids Confirm Tension with LambdaCDM
• Two new diagnostics of dark energy
• The Atacama Cosmology Telescope: DR4 Maps and Cosmological Parameters
• Age-dating Luminous Red Galaxies observed with the Southern African Large Telescope
• Measurements of the Hubble Constant: Tensions in Perspective
• Cosmology Intertwined II: The Hubble Constant Tension
• Cosmology Intertwined III: $f{\sigma }_8$ and $S_8$
• Reconstruction of dark energy and expansion dynamics using Gaussian processes
• Calibration of the Tip of the Red Giant Branch (TRGB)
• On the Hubble constant tension in the SNe Ia Pantheon sample
• The Completed SDSS-IV extended Baryon Oscillation Spectroscopic Survey: BAO and RSD measurements from anisotropic clustering analysis of the Quasar Sample in configuration space between redshift 0.8 and 2.2
• The Completed SDSS-IV extended Baryon Oscillation Spectroscopic Survey: measurement of the BAO and growth rate of structure of the luminous red galaxy sample from the anisotropic correlation function between redshifts 0.6 and 1
• The Completed SDSS-IV extended Baryon Oscillation Spectroscopic Survey: measurement of the BAO and growth rate of structure of the luminous red galaxy sample from the anisotropic power spectrum between redshifts 0.6 and 1.0
• Gaussian Process Cosmography
• The Completed SDSS-IV extended Baryon Oscillation Spectroscopic Survey: BAO and RSD measurements from the anisotropic power spectrum of the Quasar sample between redshift 0.8 and 2.2
• Setting the Stage for Cosmic Chronometers. II. Impact of Stellar Population Synthesis Models Systematics and Full Covariance Matrix
• A general test of the Copernican Principle
• Baryon acoustic oscillations from the cross-correlation of Ly$\alpha$ absorption and quasars in eBOSS DR14
• Baryon acoustic oscillations at z = 2.34 from the correlations of Ly$\alpha$ absorption in eBOSS DR14
• On the evolution of the Hubble constant with the SNe Ia Pantheon Sample and Baryon Acoustic Oscillations: a feasibility study for GRB-cosmology in 2030
• Toward a Better Understanding of Cosmic Chronometers: A new measurement of H(z) at z~0.7
• Running Hubble Tension and a H0 Diagnostic
• A litmus test for Lambda
• Model independent tests of the standard cosmological model
• Model-independent reconstruction of $f(T)$ gravity from Gaussian Processes
• Revealing Intrinsic Flat $\Lambda$CDM Biases with Standardizable Candles
• Evidence for a Lower Value for $H_0$ from Cosmic Chronometers Data?
• Null tests of the cosmological constant using supernovae
• A new method to build the (inverse) distance ladder
• Quantifying the $S_8$ tension with the Redshift Space Distortion data set
• Reconstructing Functions and Estimating Parameters with Artificial Neural Networks: A Test with the Hubble Parameter and SNe Ia
• Cosmology Intertwined I: Perspectives for the Next Decade
• Gaussian processes and effective field theory of $f(T)$ gravity under the $H_0$ tension
• Parametric and nonparametric methods hint dark energy evolution
• Constraining Teleparallel Gravity through Gaussian Processes
• Health checkup test of the standard cosmological model in view of recent Cosmic Microwave Background Anisotropies experiments
• Non-parametric reconstruction of the cosmological \textit{jerk} parameter
• Neural Network Reconstruction of Late-Time Cosmology and Null Tests
• Reconstructing teleparallel gravity with cosmic structure growth and expansion rate data
• What is parameterized $Om(z)$ diagnostics telling us in light of recent observations?
• Towards a model-independent reconstruction approach for late-time Hubble data
• 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
• Neural network reconstructions for the Hubble parameter, growth rate and distance modulus
• Dark energy by natural evolution: Constraining dark energy using Approximate Bayesian Computation
• Likelihood-free Cosmological Constraints with Artificial Neural Networks: An Application on Hubble Parameters and SNe Ia
• Neural Network Reconstruction of $H^{\prime }(z)$ and its application in Teleparallel Gravity
• The Ups and Downs of Early Dark Energy solutions to the Hubble tension: a review of models, hints and constraints circa 2023
• Putting Flat $\Lambda$CDM In The (Redshift) Bin
• Null tests of the concordance model in the era of Euclid and the SKA
• Testing dark energy models with $H(z)$ data
• $H_0$ as a Universal FLRW Diagnostic

Cited by in corpus (13)

• The CosmoVerse White Paper: Addressing observational tensions in cosmology with systematics and fundamental physics
• Model-independent cosmological inference post DESI DR1 BAO measurements
• $\Lambda$CDM Tensions: Localising Missing Physics through Consistency Checks
• LADDER: Revisiting the Cosmic Distance Ladder with Deep Learning Approaches and Exploring its Applications
• A possible late-time transition of $M_B$ inferred via neural networks
• Dark energy reconstruction analysis with artificial neural networks: Application on simulated Supernova Ia data from Rubin Observatory
• Gamma-Ray Bursts Calibrated from the Observational $H(z)$ Data in Artificial Neural Network Framework
• Probing for Lorentz Invariance Violation in Pantheon Plus Dominated Cosmology
• Statistical Nuances in BAO Analysis: Likelihood Formulations and Non-Gaussianities
• Model-independent calibration of Gamma-Ray Bursts with neural networks
• Testing the Cosmic Distance Duality Relation with Neural Kernel Gaussian Process Regression
• Investigating the Redshift Evolution of Lensing Galaxy Density Slopes via Model-Independent Distance Ratios
• Reconstructing the Type Ia Supernova Absolute Magnitude with Two-Probe Physics-Informed Neural Networks