Descripción del proyecto
Red de enseñanza sobre la formación de agujeros negros
El estudio de la formación de agujeros negros supermasivos en galaxias constituye un área muy importante de la investigación en astrofísica. Las pruebas observacionales revelan que casi todas las galaxias grandes presentan un agujero negro supermasivo, situado en su centro. Las próximas misiones espaciales, que contarán con la participación de equipos europeos, aportarán una gran cantidad de datos observacionales nuevos. Estos datos solo serán relevantes si existe una sinergia entre astrónomos y expertos en análisis de datos. BiD4BEST, financiado en virtud del programa Marie Skłodowska-Curie, establecerá una red de formación compuesta por científicos de prestigio en astronomía observacional y análisis de datos masivos. El proyecto brindará formación doctoral que incluirá observaciones punteras, métodos de simulación numérica vanguardistas y herramientas analíticas. Los resultados de la investigación proporcionarán información nueva sobre la física de la formación de agujeros negros durante la evolución de las galaxias.
Objetivo
The BiD4BEST ITN will offer doctoral training in one of the most visible areas of astrophysical research, the formation of supermassive black holes in galaxies. A coordinated research training effort in this field is needed now to mobilise the community in Europe and prepare a core group of young scientists in anticipation of new observational data in the early/mid 2020s from future space missions with strong European involvement. These data will have the quality and volume to yield transformational science on the formation of black-holes in galaxies, as long as the necessary expertise and synergies among observation, theory and data analytics exist within the European astronomy community. We propose to achieve this goal by setting up a research training network that brings together leading scientists in observational and theoretical studies of black holes and galaxies, industrial experts in cutting-edge big-data technologies, and professionals in science dissemination. Together, we will setup doctoral research projects each of which combines state-of-the-art observations, numerical simulations and innovative analytic tools to compare theory with observation and shed light on the physics of black hole formation in the context of galaxy evolution. The training on expertise from different research areas (observational astronomy, theoretical astrophysics) and sectors (academic, industrial) will be achieved by carefully designed secondments, mixed doctoral supervisory committees (academia, industry), well coordinated events for team communication and interaction, as well as network-wide courses on astrophysics and transferable skills. The proposed research training programme aspires to generate individuals that in addition to academic competences, master big-data analytics and have the capacity to apply these technologies to solve problems in different sectors (research, industry, non-academic) by developing innovative products and services.
Ámbito científico
Programa(s)
Régimen de financiación
MSCA-ITN - Marie Skłodowska-Curie Innovative Training Networks (ITN)Coordinador
SO17 1BJ Southampton
Reino Unido