output
19922026
most citedObservation of a new particle in the search for the Standard Model Higgs boson with the ATLAS detector at the LHC

10.9k citations

Showing 2020Show all

445 papers · 1 filter

astro-ph.HE2020★ 57 cited

Evidence of 200 TeV photons from HAWC J1825-134

A. Albert, R. Alfaro, C. Alvarez +81

The Earth is bombarded by ultra-relativistic particles, known as cosmic rays (CRs). CRs with energies up to a few PeV (=10 eV), the knee in the particle spectrum, are believ…

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.CO2020★ 96 cited

Interacting Dark Energy in a closed universe

Eleonora Di Valentino, Alessandro Melchiorri, Olga Mena +2

Recent measurements of the Cosmic Microwave Anisotropies power spectra measured by the Planck satellite show a preference for a closed universe at more than Confidence Leve…

astro-ph.HE2020★ 71 cited

Jet collimation in NGC 315 and other nearby AGN

B. Boccardi, M. Perucho, C. Casadio +14

Aims. The collimation of relativistic jets in galaxies is a poorly understood process. Detailed radio studies of the jet collimation region have been performed so far in few indivi…

physics.optics2020★ 3 cited

Lasing condition for trapped modes in subwavelength--wired PT--symmetric resonators

Mauro Cuevas, Mojtaba Karimi, Carlos J Zapata-Ropdriguez

The ability to control the laser modes within a subwavelength resonator is of key relevance in modern optoelectronics. This work deals with the theoretical research on optical prop…

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-…

nucl-ex2020★ 13 cited

On the -decay of Hg

A. Algora, E. Ganioğlu, P. Sarriguren +20

The Gamow-Teller strength distribution of the decay of Hg into Au has been determined for the first time using the total absorption gamma spectroscopy technique and…

hep-ph2020★ 1 cited

Particle spectra from dark matter annihilation: physics modeling and QCD uncertainties

Simone Amoroso, Sascha Caron, Adil Jueid +2

In this talk, we discuss the physics modelling of particle spectra arising from dark matter (DM) annihilation or decay. In the context of the indirect searches of DM, the final sta…

physics.ao-ph2020★ 47 cited

A global Canopy Water Content product from AVHRR/Metop

Francisco Javier García-Haro, Manuel Campos-Taberner, Álvaro Moreno +8

Spatially and temporally explicit canopy water content (CWC) data are important for monitoring vegetation status, and constitute essential information for studying ecosystem-climat…

eess.SP2020★ 9 cited

Interpolation and Gap Filling of Landsat Reflectance Time Series

Alvaro Moreno-Martinez, Marco Maneta, Gustau Camps-Valls +4

Products derived from a single multispectral sensor are hampered by a limited spatial, spectral or temporal resolutions. Image fusion in general and downscaling/blending in particu…

astro-ph.EP2020★ 9 cited

The 2017 May 20 stellar occultation by the elongated centaur (95626) 2002 GZ

P. Santos-Sanz, J. L. Ortiz, B. Sicardy +56

We predicted a stellar occultation of the bright star Gaia DR1 4332852996360346368 (UCAC4 385-75921) (m= 14.0 mag) by the centaur 2002 GZ for 2017 May 20$^{\rm th}…

stat.AP2020★ 240 cited

A Methodology to Derive Global Maps of Leaf Traits Using Remote Sensing and Climate Data

Alvaro Moreno-Martinez, Gustau Camps-Valls, Jens Kattge +19

This paper introduces a modular processing chain to derive global high-resolution maps of leaf traits. In particular, we present global maps at 500 m resolution of specific leaf ar…

q-bio.QM2020★ 18 cited

Gap Filling of Biophysical Parameter Time Series with Multi-Output Gaussian Processes

Anna Mateo-Sanchis, Jordi Munoz-Mari, Manuel Campos-Taberner +2

In this work we evaluate multi-output (MO) Gaussian Process (GP) models based on the linear model of coregionalization (LMC) for estimation of biophysical parameter variables under…

hep-ph2020★ 1 cited

Using dipole processes to constrain the flavour of four-fermion effective interactions

L. Vale Silva, S. Jäger, K. Leslie

Dipole interactions encode a rich variety of phenomena, such as radiative decays and electric dipole moments in both quark and lepton sectors, which probe physics beyond the Standa…

astro-ph.IM2020★ 34 cited

Polarization calibration techniques for new-generation VLBI

Ivan Marti-Vidal, Alejandro Mus, Michael Janssen +2

The calibration and analysis of polarization observations in Very Long Baseline Interferometry (VLBI) requires the use of specific algorithms that suffer from several limitations,…

cs.CV2020

Warped Gaussian Processes in Remote Sensing Parameter Estimation and Causal Inference

Anna Mateo-Sanchis, Jordi Muñoz-Marí, Adrián Pérez-Suay +1

This paper introduces warped Gaussian processes (WGP) regression in remote sensing applications. WGP models output observations as a parametric nonlinear transformation of a GP. Th…

physics.ao-ph2020★ 20 cited

Cloud detection machine learning algorithms for PROBA-V

Luis Gómez-Chova, Gonzalo Mateo-García, Jordi Muñoz-Marí +1

This paper presents the development and implementation of a cloud detection algorithm for Proba-V. Accurate and automatic detection of clouds in satellite scenes is a key issue for…

physics.ao-ph2020★ 3 cited

Transfer Learning with Convolutional Networks for Atmospheric Parameter Retrieval

David Malmgren-Hansen, Allan Aasbjerg Nielsen, Valero Laparra +1

The Infrared Atmospheric Sounding Interferometer (IASI) on board the MetOp satellite series provides important measurements for Numerical Weather Prediction (NWP). Retrieving accur…

physics.ao-ph2020

A deep network approach to multitemporal cloud detection

Devis Tuia, Benjamin Kellenberger, Adrian Pérez-Suay +1

We present a deep learning model with temporal memory to detect clouds in image time series acquired by the Seviri imager mounted on the Meteosat Second Generation (MSG) satellite.…

eess.SP2020★ 5 cited

Spatial noise-aware temperature retrieval from infrared sounder data

David Malmgren-Hansen, Valero Laparra, Allan Aasbjerg Nielsen +1

In this paper we present a combined strategy for the retrieval of atmospheric profiles from infrared sounders. The approach considers the spatial information and a noise-dependent…

cs.CV2020★ 51 cited

Convolutional Neural Networks for Multispectral Image Cloud Masking

Gonzalo Mateo-García, Luis Gómez-Chova, Gustau Camps-Valls

Convolutional neural networks (CNN) have proven to be state of the art methods for many image classification tasks and their use is rapidly increasing in remote sensing problems. O…

hep-ph2020★ 23 cited

Minimal scoto-seesaw mechanism with spontaneous CP violation

D. M. Barreiros, F. R. Joaquim, R. Srivastava +1

We propose simple scoto-seesaw models to account for dark matter and neutrino masses with spontaneous CP violation. This is achieved with a single horizontal discre…

physics.ao-ph2020★ 8 cited

Nonlinear Complex PCA for spatio-temporal analysis of global soil moisture

Diego Bueso, Maria Piles, Gustau Camps-Valls

Soil moisture (SM) is a key state variable of the hydrological cycle, needed to monitor the effects of a changing climate on natural resources. Soil moisture is highly variable in…

stat.ML2020★ 2 cited

Disentangling Derivatives, Uncertainty and Error in Gaussian Process Models

Juan Emmanuel Johnson, Valero Laparra, Gustau Camps-Valls

Gaussian Processes (GPs) are a class of kernel methods that have shown to be very useful in geoscience applications. They are widely used because they are simple, flexible and prov…