activity
20082021
most citedLensing is Low: Cosmology, Galaxy Formation, or New Physics?

213 citations · 1.5k across the 32 of their papers we have counts for

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Showing 2018Show all

7 papers · 1 filter

astro-ph.CO2018★ 84 cited

Upper Bound of Neutrino Masses from Combined Cosmological Observations and Particle Physics Experiments

Arthur Loureiro, Andrei Cuceu, Filipe B. Abdalla +9

We investigate the impact of prior models on the upper bound of the sum of neutrino masses, . We use data from Large Scale Structure of galaxies, Cosmic Microwave Backgro…

astro-ph.IM2018★ 8 cited

Convolutional Neural Networks for Spectroscopic Redshift Estimation on Euclid Data

Radamanthys Stivaktakis, Grigorios Tsagkatakis, Bruno Moraes +3

In this paper, we address the problem of spectroscopic redshift estimation in Astronomy. Due to the expansion of the Universe, galaxies recede from each other on average. This move…

astro-ph.CO2018★ 64 cited

Cosmological Measurements from Angular Power Spectra Analysis of BOSS DR12 Tomography

Arthur Loureiro, Bruno Moraes, Filipe B. Abdalla +9

We constrain cosmological parameters by analysing the angular power spectra of the Baryon Oscillation Spectroscopic Survey DR12 galaxies, a spectroscopic follow-up of around 1.3 mi…

astro-ph.GA2018★ 33 cited

A catalogue of structural and morphological measurements for DES Y1

F. Tarsitano, W. G. Hartley, A. Amara +60

We present a structural and morphological catalogue for 45 million objects selected from the first year of data from the Dark Energy Survey (DES). Single Sersic fits and non-parame…

astro-ph.IM2018★ 38 cited

Star-galaxy classification in the Dark Energy Survey Y1 dataset

I. Sevilla-Noarbe, B. Hoyle, M. J. Marchã +75

We perform a comparison of different approaches to star-galaxy classification using the broad-band photometric data from Year 1 of the Dark Energy Survey. This is done by performin…

astro-ph.CO2018★ 6 cited

Degradation analysis in the estimation of photometric redshifts from non-representative training sets

J. D. Rivera, B. Moraes, A. I. Merson +3

We perform an analysis of photometric redshifts estimated by using a non-representative training sets in magnitude space. We use the ANNz2 and GPz algorithms to estimate the photom…