output
20062022
most citedDepth of Maximum of Air-Shower Profiles at the Pierre Auger Observatory: Measurements at Energies above 10^17.8 eV

390 citations

26 papers

astro-ph.HE2022★ 2 cited

Ultra-high-energy cosmic ray acceleration by magnetic reconnection in relativistic jets and the origin of very high energy emission

E. De Gouveia Dal Pino, T. E. Medina-Torrejon, L. H. S. Kadowaki +2

Relativistic jets are believed to be born magnetically dominated. Very and ultra-high energy cosmic rays can be efficiently accelerated by magnetic reconnection in these sources. W…

astro-ph.IM2021★ 24 cited

The LSST-DESC 3x2pt Tomography Optimization Challenge

Joe Zuntz, François Lanusse, Alex I. Malz +25

This paper presents the results of the Rubin Observatory Dark Energy Science Collaboration (DESC) 3x2pt tomography challenge, which served as a first step toward optimizing the tom…

cs.SD2020

Small footprint Text-Independent Speaker Verification for Embedded Systems

Julien Balian, Raffaele Tavarone, Mathieu Poumeyrol +1

Deep neural network approaches to speaker verification have proven successful, but typical computational requirements of State-Of-The-Art (SOTA) systems make them unsuited for embe…

eess.SP2020

A Low-Cost Algorithm for Adaptive Sampling and Censoring in Diffusion Networks

Daniel G. Tiglea, Renato Candido, Magno T. M. Silva

Distributed signal processing has attracted widespread attention in the scientific community due to its several advantages over centralized approaches. Recently, graph signal proce…

astro-ph.HE2020★ 213 cited

Measurement of the cosmic-ray energy spectrum above eV using the Pierre Auger Observatory

The Pierre Auger Collaboration, A. Aab, P. Abreu +380

We report a measurement of the energy spectrum of cosmic rays for energies above eV based on 215,030 events recorded with zenith angles below . A k…

cs.LG2020

Generation of Consistent Sets of Multi-Label Classification Rules with a Multi-Objective Evolutionary Algorithm

Thiago Zafalon Miranda, Diorge Brognara Sardinha, Márcio Porto Basgalupp +2

Multi-label classification consists in classifying an instance into two or more classes simultaneously. It is a very challenging task present in many real-world applications, such…