Objective This project aims at studying the evolution of rotating protoneutron stars (PNS) through numerical simulations based on very precise algorithms (the so-called spectral methods) and realistic microphysics. Such theoretical studies are strongly needed for th e interpretation of data from the gravitational waves (GW) detectors (VIRGO, etc). Indeed, the expected signal to noise ratios are very small, so an accurate evaluation of the waveforms is necessary, in particular, PNSs are the progenitors of most compact objects that are potential sources of GW. PNSs are also the results of the merging of neutron stars. The main technical issue will be to solve diffusion-like equations (for chemical diffusion and heat transfer) in rotating and contracting backgrounds. The spectral methods will be the key tool to solve the partial differential equations, while microphysics will be a crucial input to get realistic diffusion coefficients in agreement with the physics occuring in the dense nuclear matter of PNSs. Fields of science natural sciencesphysical sciencesastronomyobservational astronomygravitational wavesnatural sciencesphysical sciencesastronomystellar astronomyneutron starsnatural sciencesphysical sciencesnuclear physicsnatural sciencesmathematicspure mathematicsmathematical analysisdifferential equationspartial differential equations Keywords gravitational waves numerical simulations Programme(s) FP6-MOBILITY - Human resources and Mobility in the specific programme for research, technological development and demonstration "Structuring the European Research Area" under the Sixth Framework Programme 2002-2006 Topic(s) MOBILITY-2.1 - Marie Curie Intra-European Fellowships (EIF) Call for proposal FP6-2004-MOBILITY-5 See other projects for this call Funding Scheme EIF - Marie Curie actions-Intra-European Fellowships Coordinator DEPARTAMENTO DE FISICA APLICADA, UNIVERSITY OF ALICANTE EU contribution No data Address Campus de San Vicente del Raspeig ALICANTE Spain See on map Links Website Opens in new window Total cost No data
