scispace - formally typeset
V

V. C. Busti

Researcher at University of São Paulo

Publications -  42
Citations -  1892

V. C. Busti is an academic researcher from University of São Paulo. The author has contributed to research in topics: Dark energy & Redshift. The author has an hindex of 18, co-authored 42 publications receiving 1599 citations. Previous affiliations of V. C. Busti include University of Cape Town.

Papers
More filters
Journal ArticleDOI

The dark energy survey data release 1

T. M. C. Abbott, +223 more
TL;DR: The first public data release of the DES DR1 dataset is described in this paper, consisting of reduced single-epoch images, co-add images, and co-added source catalogs, and associated products and services.
Journal ArticleDOI

The Dark Energy Survey Data Release 1

TL;DR: The first public data release of the DES DR1, consisting of reduced single epoch images, coadded images, and coadded source catalogs, and associated products and services assembled over the first three years of DES science operations, was described in this paper.
Journal ArticleDOI

Evidence for a lower value for H0 from cosmic chronometers data

TL;DR: In this article, a Bayesian non-parametric method was proposed to find a model-independent value for H0 by extrapolating H(z) data points at high-z down to z = 0.
Journal ArticleDOI

Two new tests to the distance duality relation with galaxy clusters

TL;DR: In this paper, two new tests are proposed based on galaxy clusters observations (angular diameter distance and gas mass fraction) and H(z) measurements, and they are able to derive constraints on departures of the relation where no evidence of deviation is found in both methods.
Journal ArticleDOI

cosmoabc: Likelihood-free inference via Population Monte Carlo Approximate Bayesian Computation

TL;DR: Cosmoabc, a Python ABC sampler featuring a Population Monte Carlo variation of the original ABC algorithm, which uses an adaptive importance sampling scheme, which is very flexible and able to incorporate arbitrary distance and prior functions.