We test the mutual consistency between baryon acoustic oscillation measurements from eBOSS SDSS final release, as well Pantheon supernova compilation in a model independent fashion using Gaussian process regression. also their joint with $\Lambda$CDM model, fashion. use regression to reconstruct expansion history that is preferred by these two datasets. While this methodology finds no significant preference for flexibility beyond $\Lambda$CDM, we are able generate number of reconstructed...

Abstract We search for possible deviations from the expectations of concordance ΛCDM model in expansion history Universe by analysing Pantheon Type Ia Supernovae (SnIa) compilation along with its Monte Carlo simulations using redshift binning. demonstrate that binned best fit matter density parameter Ω0m and effective absolute magnitude $\cal M$ oscillate about their full dataset values considerably large amplitudes. Using covariance matrix data taking into account systematic statistical...

We have developed a frequentist approach for model selection which determines the consistency between any cosmological and data using distribution of likelihoods from iterative smoothing method. Using this approach, we shown how confidently can conclude whether support given without comparison to different one. In current work, compare our with conventional Bayesian based on estimation evidence nested sampling. use simulated future Roman (formerly WFIRST)-like type Ia supernovae in analysis....

Abstract We compute the distribution of likelihoods from non-parametric iterative smoothing method over a set mock Pantheon-like type Ia supernova datasets. use this likelihood to test whether typical dark energy models are consistent with data and perform parameter estimation. In approach, consistency model is determined without need for comparison another alternative model. Simulating future WFIRST-like data, we study II errors show how confidently can distinguish different using approach.

Abstract We reconstruct the expansion history of universe using type Ia supernovae (SN Ia) in a manner independent any cosmological model assumptions. To do so, we implement nonparametric iterative smoothing method on Joint Light-curve Analysis (JLA) data while exploring SN light-curve hyperparameter space by Markov Chain Monte Carlo (MCMC) sampling. test to see how posteriors these hyperparameters depend cosmology, whether different dark energy models or reconstructions shift posteriors....

An observational evidence for the intrinsic galaxy alignments in isolated spiral pairs is presented. From catalog of groups identified by Tempel et al. flux limited sample Sloan Digital Sky Survey Data Release 10, we select those consisting only two galaxies as and investigate if how strongly spin axes their members are aligned with each other. We detect a clear signal alignment pairs, which leads to rejection null hypothesis at $99.9999\%$ confidence level via Rayleigh test. It also found...

In this analysis we apply a model-independent framework to test the flat $\Lambda$CDM cosmology using simulated SNIa data from upcoming Large Synoptic Survey Telescope (LSST) and combined with Dark Energy Spectroscopic Instrument (DESI) five-years Baryon Acoustic Oscillations (BAO) data. We adopt an iterative smoothing technique reconstruct expansion history data, which, when BAO measurements, facilitates comprehensive of Universe's curvature nature dark energy. The is conducted under three...