646 research outputs found
Multi-state Boson Stars
Motivated by the increasing interest in models which consider scalar fields
as viable dark matter candidates, we have constructed a generalization of
relativistic Boson Stars (BS) composed of two coexisting states of the scalar
field, the ground state and the first excited state. We have studied the
dynamical evolution of these Multi-state Boson Stars (MSBS) under radial
perturbations, using numerical techniques. We show that stable MSBS can be
constructed, when the number of particles in the first excited state, N2, is
smaller than the number of particles in the ground state, N1. On the other
hand, when N2 > N1, the configurations are initially unstable. However, they
evolve and settle down into stable configurations. In the stabilization
process, the initially ground state is excited and ends in a first excited
state, whereas the initially first excited state ends in a ground state. During
this process, both states emit scalar field radiation, decreasing their number
of particles. This behavior shows that even though BS in the first excited
state are intrinsically unstable under finite perturbations, the configuration
resulting from the combination of this state with the ground state produces
stable objects. Finally we show in a qualitative way, that stable MSBS could be
realistic models of dark matter galactic halos, as they produce rotation curves
that are flatter at large radii than the rotation curves produced by BS with
only one state.Comment: 14 pages. Extended discussion and new figures added. Conclusions
unchanged. Accepted for publication in Physical Review
Installation process and main functionalities of the Spin model checker
This document explains how to download and install all the software needed to properly run the Spin model checker and its user-friendly graphical user interface, called iSpin. It also offers a short tutorial which presents the main functionalities of Spin and explains briefly some basic concepts which are important to be able to use Spin through iSpin.Grupo de investigación MYDASS (Modelling & Development of Advanced Software Systems), TIC-230.
Departamento de Lenguajes y Sistemas Informáticos (Universidad de Granada)
NeuroPod: a real-time neuromorphic spiking CPG applied to robotics
Initially, robots were developed with the aim of making our life easier, carrying
out repetitive or dangerous tasks for humans. Although they were able
to perform these tasks, the latest generation of robots are being designed
to take a step further, by performing more complex tasks that have been
carried out by smart animals or humans up to date. To this end, inspiration
needs to be taken from biological examples. For instance, insects are able
to optimally solve complex environment navigation problems, and many researchers
have started to mimic how these insects behave. Recent interest in
neuromorphic engineering has motivated us to present a real-time, neuromorphic,
spike-based Central Pattern Generator of application in neurorobotics,
using an arthropod-like robot. A Spiking Neural Network was designed and
implemented on SpiNNaker. The network models a complex, online-change
capable Central Pattern Generator which generates three gaits for a hexapod
robot locomotion. Recon gurable hardware was used to manage both
the motors of the robot and the real-time communication interface with the
Spiking Neural Networks. Real-time measurements con rm the simulation
results, and locomotion tests show that NeuroPod can perform the gaits
without any balance loss or added delay.Ministerio de Economía y Competitividad TEC2016-77785-
Schwarzschild black holes can wear scalar wigs
We study the evolution of a massive scalar field surrounding a Schwarzschild
black hole and find configurations that can survive for arbitrarily long times,
provided the black hole or the scalar field mass is small enough. In
particular, both ultra-light scalar field dark matter around supermassive black
holes and axion-like scalar fields around primordial black holes can survive
for cosmological times. Moreover, these results are quite generic, in the sense
that fairly arbitrary initial data evolves, at late times, as a combination of
those long-lived configurations.Comment: 5 pages, 3 figures. Accepted for publication in Physical Review
Letter
Bill Kohn: la naturaleza infatigable
Entrevista del profesor Francisco J. Lara-Barranco a Bill Kohn, artista y profesor emérito de Washington University School of Art.Ministerio de Educación y Cultur
Procesos de creación artística I: María A. A., Juan Carlos Lázaro y Javier Velasco
Procesos de creación artística surge con un objetivo fundamental: que el alumno conozca diferentes modos de producción en el terreno del arte. La idea se gestó en el año académico 2000-2001, y desde entonces se viene desarrollando. Básicamente, consiste en invitar a un artista o persona relacionada con la cultura, para que imparta una conferencia a cerca de su trabajo en la asignatura que imparto, Iniciación al Colorido, adscrita el Departamento de Pintura dentro del primer ciclo de la licenciatura en Bellas Artes. Generalmente, se hace coincidir la conferencia con una exposición que esté desarrollando el invitado en la ciudad de Sevilla. La razón de tal proceder radica en lo siguiente: el alumno puede tener un contacto directo con las obras. Durante la conferencia se aborda el proceso de creación específico desarrollado por la persona invitada. Durante el período señalado, visitaron la clase los invitados siguientes: María A.A. (artista multimedia), Javier Buzón (pintor), Diego Gadir (pintor), Dionisio González (artista multimedia), Juan Carlos Lázaro (pintor), Pedro Mora (artista multimedia) y Javier Velasco (artista multimedia)
Douglas Huebler
Douglas Huebler fue uno de los representantes más destacados del Arte Conceptual en los Estados Unidos. En sus comienzos, tras una breve incursión por las prácticas expresionistas, desarrolló una producción de estética visual minimalista. Desde 1968 buscó metodologías alternativas de creación: el descubrimiento del mapa (empleo del lenguaje asociado a una reunión de imágenes) le permitió transmitir al observador de cada obra una “imagen mental” diferenciada y con ello un entendimiento individualizado de la pieza. Sus intereses creativos se han focalizado, continuamente, en la realización de proyectos neutrales, con la premisa de que el observador no resultara “inhibido” a causa de la imagen proyectada por la obra
Spiking row-by-row FPGA Multi-kernel and Multi-layer Convolution Processor.
Spiking convolutional neural networks have become
a novel approach for machine vision tasks, due to the latency
to process an input stimulus from a scene, and the low power
consumption of these kind of solutions. Event-based systems only
perform sum operations instead of sum of products of framebased
systems. In this work an upgrade of a neuromorphic
event-based convolution accelerator for SCNN, which is able to
perform multiple layers with different kernel sizes, is presented.
The system has a latency per layer from 1.44 μs to 9.98μs for
kernel sizes from 1x1 to 7x7
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