activity
20092019
most citedGaia DR2 unravels incompleteness of nearby cluster population: New open clusters in the direction of Perseus

120 citations · 377 across the 9 of their papers we have counts for

collaborators

9 papers

astro-ph.GA2019★ 59 cited

Photometry of high-redshift blended galaxies using deep learning

Alexandre Boucaud, Marc Huertas-Company, Caroline Heneka +11

The new generation of deep photometric surveys requires unprecedentedly precise shape and photometry measurements of billions of galaxies to achieve their main science goals. At su…

astro-ph.GA2018★ 120 cited

Gaia DR2 unravels incompleteness of nearby cluster population: New open clusters in the direction of Perseus

T. Cantat-Gaudin, A. Krone-Martins, N. Sedaghat +13

Open clusters (OCs) are popular tracers of the structure and evolutionary history of the Galactic disk. The OC population is often considered to be complete within 1.8 kpc of the S…

astro-ph.CO2016★ 52 cited

Unveiling the Dynamics of the Universe

Pedro Avelino, Tiago Barreiro, C. Sofia Carvalho +10

We explore the dynamics and evolution of the Universe at early and late times, focusing on both dark energy and extended gravity models and their astrophysical and cosmological con…

astro-ph.CO2016★ 4 cited

Effect of Priomordial non-Gaussianities on Galaxy Clusters Scaling Relations

A. M. M. Trindade, Antonio da Silva

Galaxy clusters are a valuable source of cosmological information. Their formation and evolution depends on the underlying cosmology and on the statistical nature of the primordial…

astro-ph.SR2015★ 34 cited

Exploring the spectroscopic diversity of type Ia supernovae with DRACULA: a machine learning approach

Michele Sasdelli, E. E. O. Ishida, R. Vilalta +8

The existence of multiple subclasses of type Ia supernovae (SNeIa) has been the subject of great debate in the last decade. One major challenge inevitably met when trying to infer…

astro-ph.CO2015★ 83 cited

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

E. E. O. Ishida, S. D. P. Vitenti, M. Penna-Lima +5

Approximate Bayesian Computation (ABC) enables parameter inference for complex physical systems in cases where the true likelihood function is unknown, unavailable, or computationa…

astro-ph.CO2013★ 9 cited

Biased cosmological parameter estimation with galaxy cluster counts in the presence of primordial non-Gaussianities

A. M. M. Trindade, P. P. Avelino, P. T. P. Viana

The redshift dependence of the abundance of galaxy clusters is very sensitive to the statistical properties of primordial density perturbations. It can thus be used to probe small…

astro-ph.CO2011★ 5 cited

A new signature of primordial non-Gaussianities from the abundance of galaxy clusters

A. M. M. Trindade, P. P. Avelino, P. T. P. Viana

The evolution with time of the abundance of galaxy clusters is very sensitive to the statistical properties of the primordial density perturbations. It can thus be used to probe sm…

astro-ph.CO2009★ 11 cited

Is evidence for a dynamical dark energy equation of state ?

P. P. Avelino, A. M. M. Trindade, P. T. P. Viana

Current constraints on the dark energy equation of state parameter, , are expected to be improved by more than one order of magnitude in the next decade. If $|w-1| \gsim 0.01$ a…