Arlindo Trindade

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A gas proportional scintillation counter with a large detection area (≈ 1000 mm) is described. The curved grid technique was used for solid angle compensation and the photosensor is a photomultiplier tube with a 50 mm diameter quartz window. For an energy range between 2.5 and 25 keV it can work at counting rates up to 20,000 events/s, presenting for 5.9(More)
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 the existence of one or more subclasses is the time consuming, and subjective, process of subclass definition. In this work, we show how machine learning tools facilitate(More)
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 consequences. Modified theories of gravity not only provide an alternative explanation for the recent expansion history of the universe, but they also offer a paradigm fundamentally(More)
Using Micropaque (crystallized barium sulphate) in a gelatinous medium of a certain viscosity, with a fluorescent pigment in the solution, we obtained a mixture with a fluidity adequate to a vascular injection; this injection is performed with a constant pressure, the values of which are kept between limits near the values of the physiological arterial(More)
The existence of multiple subclasses of type Ia supernovae (SNeIa) has been the subject of great debate in the last decade. In this work, we show how machine learning tools facilitate identification of subtypes of SNe Ia. Using Deep Learning for dimensionality reduction, we were capable of performing such identification in a parameter space of significantly(More)
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