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Showing 2020Show all

296 papers · 1 filter

cs.SD2020★ 1 cited

Multi-view Temporal Alignment for Non-parallel Articulatory-to-Acoustic Speech Synthesis

Jose A. Gonzalez-Lopez, Miriam Gonzalez-Atienza, Alejandro Gomez-Alanis +2

Articulatory-to-acoustic (A2A) synthesis refers to the generation of audible speech from captured movement of the speech articulators. This technique has numerous applications, suc…

astro-ph.HE2020★ 19 cited

ANTARES search for point-sources of neutrinos using astrophysical catalogs: a likelihood stacking analysis

A. Albert, M. André, M. Anghinolfi +136

A search for astrophysical point-like neutrino sources using the data collected by the ANTARES detector between January 29, 2007 and December 31, 2017 is presented. A likelihood st…

astro-ph.HE2020★ 26 cited

SN 2017gci: a nearby Type I Superluminous Supernova with a bumpy tail

Achille Fiore, Ting-Wan Chen, Anders Jerkstrand +26

We present and discuss the optical spectro-photometric observations of the nearby (z=0.087) Type I superluminous supernova (SLSN I) SN 2017gci, whose peak K-corrected absolute magn…

cs.AI2020★ 1 cited

Goal Reasoning by Selecting Subgoals with Deep Q-Learning

Carlos Núñez-Molina, Vladislav Nikolov, Ignacio Vellido +1

In this work we propose a goal reasoning method which learns to select subgoals with Deep Q-Learning in order to decrease the load of a planner when faced with scenarios with tight…

astro-ph.GA2020★ 21 cited

The delay time distribution of supernovae from integral-field spectroscopy of nearby galaxies

Asier Castrillo, Yago Ascasibar, Lluís Galbany +6

Constraining the delay-time distribution (DTD) of different supernova (SN) types can shed light on the timescales of galaxy chemical enrichment and feedback processes affecting gal…

physics.ins-det2020★ 33 cited

Imaging neutron capture cross sections: i-TED proof-of-concept and future prospects based on Machine-Learning techniques

V. Babiano-Suárez, J. Lerendegui-Marco, J. Balibrea-Correa +132

i-TED is an innovative detection system which exploits Compton imaging techniques to achieve a superior signal-to-background ratio in () cross-section measurements using time-…

physics.atom-ph2020★ 22 cited

Coherent optical creation of a single molecule

Yichao Yu, Kenneth Wang, Jonathan D. Hood +7

We report coherent association of atoms into a single weakly bound NaCs molecule in an optical tweezer through an optical Raman transition. The Raman technique uses a deeply bound…

stat.ML2020★ 20 cited

A connection between the pattern classification problem and the General Linear Model for statistical inference

Juan Manuel Gorriz, SIPBA group, John Suckling

A connection between the General Linear Model (GLM) in combination with classical statistical inference and the machine learning (MLE)-based inference is described in this paper. F…

quant-ph2020★ 10 cited

Comment on "Loss-Free Excitonic Quantum Battery"

A. Tejero, J. Thingna, D. Manzano

In Ref. [J. Liu, D. Segal, and G. Hanna. J. Phys. Chem. C, 123, 18303 (2019)] there is a novel proposal of a quantum battery based on environmental interaction. The system studied…

astro-ph.GA2020★ 19 cited

MUSE reveals extended circumnuclear outflows in the Seyfert 1 NGC 7469

A. C. Robleto-Orús, J. P. Torres-Papaqui, A. L. Longinotti +9

NGC 7469 is a well known Luminous IR Galaxy, with a circumnuclear star formation ring ( pc radius) surrounding a Seyfert 1 AGN. Nuclear unresolved winds were previously d…

astro-ph.GA2020★ 63 cited

A Virgo Environmental Survey Tracing Ionised Gas Emission (VESTIGE).IX. The effects of ram pressure stripping down to the scale of individual HII regions in the dwarf galaxy IC 3476

A. Boselli, A. Lupi, B. Epinat +25

We study the IB(s)m galaxy IC 3476 observed in the context of VESTIGE, a blind narrow-band Halpha+[NII] imaging survey of the Virgo cluster. The deep narrow-band (NB) image reveals…

astro-ph.GA2020★ 19 cited

Galaxies within galaxies in the TIMER survey: stellar populations of inner bars are scaled replicas of main bars

Adrian Bittner, Adriana de Lorenzo-Cáceres, Dimitri A. Gadotti +11

Inner bars are frequent structures in the local Universe and thought to substantially influence the nuclear regions of disc galaxies. In this study we explore the structure and dyn…

physics.geo-ph2020★ 7 cited

Deep Gaussian Processes for geophysical parameter retrieval

Daniel Heestermans Svendsen, Pablo Morales-Álvarez, Rafael Molina +1

This paper introduces deep Gaussian processes (DGPs) for geophysical parameter retrieval. Unlike the standard full GP model, the DGP accounts for complicated (modular, hierarchical…

hep-ph2020★ 62 cited

May the four be with you: Novel IR-subtraction methods to tackle NNLO calculations

W. J. Torres Bobadilla, G. F. R. Sborlini, P. Banerjee +21

In this report, we present a discussion about different frameworks to perform precise higher-order computations for high-energy physics. These approaches implement novel strategies…

math.OC2020★ 4 cited

Reallocating and Sharing Health Equipments in Sanitary Emergency Situations: The COVID-19 Case in Spain

Víctor Blanco, Ricardo Gázquez, Marina Leal

In this paper we provide a mathematical programming based decision tool to optimally reallocate and share equipments between different units in emergency situations under lack of r…

physics.ins-det2020★ 9 cited

Measurement of the Atmospheric Muon Rate with the MicroBooNE Liquid Argon TPC

MicroBooNE collaboration, C. Adams, M. Alrashed +187

MicroBooNE is a near-surface liquid argon (LAr) time projection chamber (TPC) located at Fermilab. We measure the characterisation of muons originating from cosmic interactions in…

gr-qc2020★ 33 cited

Loop quantum black hole extensions within the improved dynamics

Rodolfo Gambini, Javier Olmedo, Jorge Pullin

We continue our investigation of an improved quantization scheme for spherically symmetric loop quantum gravity. We find that in the region where the black hole singularity appears…

cs.CV2020★ 9 cited

Playing to distraction: towards a robust training of CNN classifiers through visual explanation techniques

David Morales, Estefania Talavera, Beatriz Remeseiro

The field of deep learning is evolving in different directions, with still the need for more efficient training strategies. In this work, we present a novel and robust training sch…

quant-ph2020★ 50 cited

Periodically refreshed baths to simulate open quantum many-body dynamics

Archak Purkayastha, Giacomo Guarnieri, Steve Campbell +2

Obtaining dynamics of an interacting quantum many-body system connected to multiple baths initially at different, finite, temperatures and chemical potentials is a challenging prob…

quant-ph2020★ 14 cited

Conformal Properties of Hyperinvariant Tensor Networks

Matthew Steinberg, Javier Prior

Hyperinvariant tensor networks (hyMERA) were introduced as a way to combine the successes of perfect tensor networks (HaPPY) and the multiscale entanglement renormalization ansatz…

hep-ph2020★ 113 cited

Running in the ALPs

Mikael Chala, Guilherme Guedes, Maria Ramos +1

The couplings of axion-like particles are probed by different experiments across a huge range of energy scales. Accordingly, a consistent analysis of the corresponding constraints…

physics.ins-det2020★ 46 cited

Semantic Segmentation with a Sparse Convolutional Neural Network for Event Reconstruction in MicroBooNE

MicroBooNE collaboration, P. Abratenko, M. Alrashed +180

We present the performance of a semantic segmentation network, SparseSSNet, that provides pixel-level classification of MicroBooNE data. The MicroBooNE experiment employs a liquid…

astro-ph.IM2020★ 8 cited

Calibration of the underground muon detector of the Pierre Auger Observatory

The Pierre Auger Collaboration, A. Aab, P. Abreu +370

To obtain direct measurements of the muon content of extensive air showers with energy above eV, the Pierre Auger Observatory is currently being equipped with an underg…

hep-ex2020★ 30 cited

High-performance Generic Neutrino Detection in a LArTPC near the Earth's Surface with the MicroBooNE Detector

MicroBooNE collaboration, P. Abratenko, M. Alrashed +186

Large Liquid Argon Time Projection Chambers (LArTPCs) are being increasingly adopted in neutrino oscillation experiments because of their superb imaging capabilities through the co…