activity
20172021
most citedGamma-Ray Burst detection prospects for next generation ground-based VHE facilities

5 citations · 5 across the 2 of their papers we have counts for

collaborators

6 papers

astro-ph.IM20215 cited

Gamma-Ray Burst detection prospects for next generation ground-based VHE facilities

G. La Mura, U. Barres de Almeida, R. Conceição +6

Gamma-ray Bursts (GRB) were discovered by satellite-based detectors as powerful sources of transient -ray emission. The Fermi satellite detected an increasing number of these ev…

astro-ph.HE2020

Deep Learning Blazar Classification based on Multi-frequency Spectral Energy Distribution Data

Bernardo M. O. Fraga, Ulisses Barres de Almeida, Clecio R. Bom +4

Blazars are among the most studied sources in high-energy astrophysics as they form the largest fraction of extragalactic gamma-ray sources and are considered prime candidates for…

astro-ph.HE2020

The Open Universe survey of Swift-XRT GRB fields: a complete sample of HBL blazars

P. Giommi, Y. L. Chang, S. Turriziani +22

We have analysed all the X-ray images centred on Gamma Ray Bursts generated by Swift over the last 15 years using automatic tools that do not require any expertise in X-ray astrono…

astro-ph.HE2019

Open Universe for Blazars: a new generation of astronomical products based on 14 years of Swift-XRT data

P. Giommi, C. H. Brandt, U. Barres de Almeida +14

Open Universe for blazars is a set of high-transparency data products for blazar science, and the tools designed to generate them. Blazar astrophysics is becoming increasingly data…

astro-ph.IM2018

The Open Universe Initiative

P. Giommi, G. Arrigo, U. Barres De Almeida +6

The almost universal availability of electronic connectivity, web software, and portable devices is bringing about a major revolution: information of all kinds is rapidly becoming…

astro-ph.IM2017

Multi-Objective Genetic Algorithm Optimisation for an Array of Cherenkov Telescopes

Bruno Fontes Souto, Ulisses Barres de Almeida, Ugo Giaccari

We have conceived and implemented a multi-objective genetic algorithm (GA) code for the optimisation of an array of Imaging Atmospheric Cherenkov Telescopes (IACTs). The algorithm…