25 research outputs found
Angular Correlation Function from sample covariance with BOSS and eBOSS LRG
The Baryon Acoustic Oscillations (BAO) are one of the most used probes to
understand the accelerated expansion of the Universe. Traditional methods rely
on fiducial model information within their statistical analysis, which may be a
problem when constraining different families of models. The aim of this work is
to provide a method that constrains through a model-independent
and compare parameter estimation of the angular correlation function polynomial
approach, using the covariance matrix from the galaxy sample from thin redshift
bins, with the usual mock sample covariance matrix. We proposed a different
approach to finding the BAO angular feature revisiting previous work in the
literature, we take the bias between the correlation function between the bins
and the whole sample. We used widths of separation for all
samples as the basis for a sample covariance matrix weighted by the statistical
importance of the redshift bin. We propose a different weighting scheme based
only on random pair counting. We also propose an alternate shift parameter
based only on the data. Each sample belongs to the Sloan Digital Sky Survey
Luminous Red Galaxies (LRG): BOSS1, BOSS2, and eBOSS, with effective redshift
: 0.35, 0.51, 0.71, respectively, and different numbers of bins with
50, 100, and 200 respectively. In addition, we correct the angular separation
from the polynomial fit () that encodes the BAO feature with a
bias function obtained by comparing each bin correlation function with the
correlation function of the whole set. We also tested the same correction
choosing the bin at and found that for eBOSS is in agreement with the Planck 18 model. BOSS1 and BOSS2
agreed in with the Pantheon+ & SES FlatCDM model, in
tension with Planck 18.Comment: 18 page
When did cosmic acceleration start? How fast was the transition?
Cosmic acceleration is investigated through a kink-like expression for the
deceleration parameter (q). The new parametrization depends on the initial
(q_i) and final (q_f) values of q, on the redshift of the transition from
deceleration to acceleration (z_{t}) and the width of such transition (\tau).
We show that although supernovae (SN) observations (Gold182 and SNLS data
samples) indicate, at high confidence, that a transition occurred in the past
(z_{t}>0) they do not, by themselves, impose strong constraints on the maximum
value of z_{t}. However, when we combine SN with the measurements of the ratio
between the comoving distance to the last scattering surface and the
SDSS+2dfGRS BAO distance scale (S_{k}/D_{v}) we obtain, at 95.4% confidence
level, z_{t}=0.84+{0.17}-{0.13} and \tau =0.51-{0.17}+{0.23} for
(S_{k}/D_{v}+Gold182), and z_{t}=0.88-{0.10}+{0.12} and \tau
=0.35-{0.10}+{0.12} for (S_{k}/D_{v} + SNLS), assuming q_i=0.5 and q_f=-1. We
also analyze the general case, q_f\in(-\infty,0) finding the constraints that
the combined tests (S_{k}/D_{v} + SNLS) impose on the present value of the
deceleration parameter (q_0).Comment: 7 pages, 3 figures. Replaced to match the published versio