- Pulsars and Gravitational Waves Research
- Gamma-ray bursts and supernovae
- Geophysics and Gravity Measurements
- Astrophysical Phenomena and Observations
- Cosmology and Gravitation Theories
- Computational Fluid Dynamics and Aerodynamics
- Fluid Dynamics and Turbulent Flows
- High-pressure geophysics and materials
- Spanish History and Politics
- Gas Dynamics and Kinetic Theory
- Image and Signal Denoising Methods
- Astrophysics and Cosmic Phenomena
- Seismic Waves and Analysis
- Advanced Image Processing Techniques
- International Relations in Latin America
- Human Rights and Immigration
- Atomic and Subatomic Physics Research
- Seismic Imaging and Inversion Techniques
- Transboundary Water Resource Management
- Radio Astronomy Observations and Technology
- Global Peace and Security Dynamics
- Magnetic confinement fusion research
- International Relations and Autism
- Criminal Justice and Penology
- International Relations and Foreign Policy
Universidad Complutense de Madrid
2004-2025
Universitat de València
2015-2024
Université Paris Cité
2023
Laboratoire AstroParticule et Cosmologie
2023
Centre National de la Recherche Scientifique
2023
Instituto Universitario General Gutiérrez Mellado
2019
Universidade de Santa Cruz do Sul
2008-2018
California Institute of Technology
2018
University of California, Los Angeles
1999-2016
Brain Mapping Foundation
2016
The total variation (TV) denoising method is a PDE-based technique that preserves edges well but has the sometimes undesirable staircase effect, namely, transformation of smooth regions ( ramps) into piecewise constant stairs). In this paper we present an improved model, constructed by adding nonlinear fourth order diffusive term to Euler--Lagrange equations variational TV model. Our substantially reduces while preserving sharp jump discontinuities (edges). We show numerical evidence power...
In this paper we formulate a time dependent model to approximate the solution nonlinear total variation optimization problem for deblurring and noise removal introduced by Rudin Osher [ Total based image restoration with free local constraints, in Proceedings IEEE Internat. Conf. Imag. Proc., Press, Piscataway, NJ, (1994), pp. 31--35] Rudin, Osher, Fatemi Phys. D, 60 (1992), 259--268], respectively. Our is on level set motion whose steady state quickly reached means of an explicit procedure...
We present a comprehensive analysis of the morphology and dynamics relativistic pressure-matched axisymmetric jets. The numerical simulations have been carried out with high-resolution shock-capturing hydrocode based on an approximate Riemann solver derived from spectral decomposition Jacobian matrices hydrodynamics. discuss dependence jet several parameters, paying special attention to effects caused by high Lorentz factors large internal energies beam flow. parameter space our is spanned...
Electroconvulsive therapy (ECT) is a highly effective brain stimulation treatment for severe depression. Identifying neurochemical changes linked with ECT may point to biomarkers and predictors of successful response.We used proton magnetic resonance spectroscopy (1H-MRS) measure longitudinal in glutamate/glutamine (Glx), creatine (Cre), choline (Cho) N-acetylaspartate (NAA) the dorsal (dACC) subgenual anterior cingulate cortex (sgACC) bilateral hippocampus patients receiving scanned at...
This paper constructs a local third order accurate shock capturing method for hyperbolic scalar conservation laws, based on numerical fluxes with total variation diminishing (TVD) Runge–Kutta evolution in time, using the idea recently introduced by C. W. Shu and S. J. Osher essentially nonoscillatory (ENO) methods. The constructed is an upwind conservative scheme that sense are reconstructed without extrapolation from data of smoothest neighboring cell. To design method, new concept...
Abstract In this paper we formulate a new time dependent model for blind deconvolution based on constrained variational that uses the sum of total variation norms signal and kernel as regularizing functional. We incorporate mass conservation nonnegativity additional constraints. apply idea Bregman iterative regularization, first used image restoration by Osher colleagues [S.J. Osher, M. Burger, D. Goldfarb, J.J. Xu, W. Yin, An iterated regularization method restoration, UCLA CAM Report,...
Gravitational wave astronomy has become a reality after the historical detections accomplished during first observing run of two advanced LIGO detectors. In following years, number is expected to increase significantly with full commissioning LIGO, Virgo and KAGRA The development sophisticated data analysis techniques improve opportunities detection for low signal-to-noise-ratio events is, hence, most crucial effort. this paper, we present one such technique, dictionary-learning algorithms,...
Data streams of gravitational-wave detectors are polluted by transient noise features, or ``glitches,'' instrumental and environmental origin. In this work we investigate the use total variation methods learned dictionaries to mitigate effect those transients in data. We focus on a specific type transient, ``blip" glitches, as is most common glitch present LIGO their waveforms easy identify. randomly select 100 blip glitches scattered data from advanced LIGO's O1 run, provided...
The thermodynamical properties of the equation state (EoS) high-density matter (above nuclear saturation density) and possible existence exotic states such as phase transitions from nuclear/hadronic into quark-gluon plasma, or appearance hyperons, may critically influence stability dynamics compact relativistic stars. From a theoretical point view, establishing those requires analysis `convexity' EoS. We show indications regions in dense-matter EoS where thermodynamics be non-convex result...