Project acronym CAMAP
Project CAMAP: Computer Aided Modeling for Astrophysical Plasmas
Researcher (PI) Miguel-Ángel Aloy-Torás
Host Institution (HI) UNIVERSITAT DE VALENCIA
Call Details Starting Grant (StG), PE9, ERC-2010-StG_20091028
Summary This project will be aimed at obtaining a deeper insight into the physical processes taking place in astrophysical magnetized plasmas. To study these scenarios I will employ different numerical codes as virtual tools that enable me to experiment on computers (virtual labs) with distinct initial and boundary conditions. Among the kind of sources I am interested to consider, I outline the following: Gamma-Ray Bursts (GRBs), extragalactic jets from Active Galactic Nuclei (AGN), magnetars and collapsing stellar cores. A number of important questions are still open regarding the fundamental properties of these astrophysical sources (e.g., collimation, acceleration mechanism, composition, high-energy emission, gravitational wave signature). Additionally, there are analytical issues on the formalism in relativistic dynamics not resolved yet, e.g., the covariant extension of resistive magnetohydrodynamics (MHD). All these problems are so complex that only a computational approach is feasible. I plan to study them by means of relativistic and Newtonian MHD numerical simulations. A principal focus of the project will be to assess the relevance of magnetic fields in the generation, collimation and ulterior propagation of relativistic jets from the GRB progenitors and from AGNs. More generally, I will pursue the goal of understanding the process of amplification of seed magnetic fields until they become dynamically relevant, e.g., using semi-global and local simulations of representative boxes of collapsed stellar cores. A big emphasis will be put on including all the relevant microphysics (e.g. neutrino physics), non-ideal effects (particularly, reconnection physics) and energy transport due to neutrinos and photons to account for the relevant processes in the former systems. A milestone of this project will be to end up with a numerical tool that enables us to deal with General Relativistic Radiation Magnetohydrodynamics problems in Astrophysics.
Summary
This project will be aimed at obtaining a deeper insight into the physical processes taking place in astrophysical magnetized plasmas. To study these scenarios I will employ different numerical codes as virtual tools that enable me to experiment on computers (virtual labs) with distinct initial and boundary conditions. Among the kind of sources I am interested to consider, I outline the following: Gamma-Ray Bursts (GRBs), extragalactic jets from Active Galactic Nuclei (AGN), magnetars and collapsing stellar cores. A number of important questions are still open regarding the fundamental properties of these astrophysical sources (e.g., collimation, acceleration mechanism, composition, high-energy emission, gravitational wave signature). Additionally, there are analytical issues on the formalism in relativistic dynamics not resolved yet, e.g., the covariant extension of resistive magnetohydrodynamics (MHD). All these problems are so complex that only a computational approach is feasible. I plan to study them by means of relativistic and Newtonian MHD numerical simulations. A principal focus of the project will be to assess the relevance of magnetic fields in the generation, collimation and ulterior propagation of relativistic jets from the GRB progenitors and from AGNs. More generally, I will pursue the goal of understanding the process of amplification of seed magnetic fields until they become dynamically relevant, e.g., using semi-global and local simulations of representative boxes of collapsed stellar cores. A big emphasis will be put on including all the relevant microphysics (e.g. neutrino physics), non-ideal effects (particularly, reconnection physics) and energy transport due to neutrinos and photons to account for the relevant processes in the former systems. A milestone of this project will be to end up with a numerical tool that enables us to deal with General Relativistic Radiation Magnetohydrodynamics problems in Astrophysics.
Max ERC Funding
1 497 000 €
Duration
Start date: 2011-03-01, End date: 2017-02-28
Project acronym LEK
Project The adaptive nature of culture. A cross-cultural analysis of the returns of Local Environmental Knowledge in three indigenous societies
Researcher (PI) Victoria Reyes García
Host Institution (HI) UNIVERSITAT AUTONOMA DE BARCELONA
Call Details Starting Grant (StG), SH3, ERC-2010-StG_20091209
Summary Researchers debate the role of culture in shaping human adaptive strategy. Some researchers suggest that the behavioural adaptations that explain the success of our species are partially cultural, i.e., cumulative and transmitted by social learning.
Others find that cultural knowledge has often resulted in maladaptive practices, loss of technologies, and societies collapse.
Despite the importance of the debate, we lack empirical, comparative, research on the mechanisms through which culture might shape human adaptation. I will collect real world data to test a pathway through which cultural knowledge might
enhance human adaptive strategy: the individual returns to culturally evolved and environment-specific knowledge. I will direct two post-docs and four PhD students who will collect six sets of comparable panel data in three foraging societies:
the Tsimane (Amazon), the Baka (Congo Basin), and the Penan (Borneo). I will use a culturally-specific but cross-culturally comparative method to assess individual local knowledge related to 1) wild edibles; 2) medicine; 3) agriculture; and 4) weather forecast. I will analyze data using instrumental variables to get rigorous estimates of the returns to knowledge on
a) own and offsprings health and b) nutritional status, and c) farming and d) foraging productivity. Data would allow me to make generalizations on 1) the returns to local environmental knowledge and 2) the conditions under which locally developed
knowledge is adaptive or ceases to be so. The ground-breaking nature of this study lies in its explicit attempt to use empirical data and a cross-cultural framework to provide a first test of the adaptive nature of culturally transmitted information, and to do so by linking cultural knowledge to individual outcomes.
Summary
Researchers debate the role of culture in shaping human adaptive strategy. Some researchers suggest that the behavioural adaptations that explain the success of our species are partially cultural, i.e., cumulative and transmitted by social learning.
Others find that cultural knowledge has often resulted in maladaptive practices, loss of technologies, and societies collapse.
Despite the importance of the debate, we lack empirical, comparative, research on the mechanisms through which culture might shape human adaptation. I will collect real world data to test a pathway through which cultural knowledge might
enhance human adaptive strategy: the individual returns to culturally evolved and environment-specific knowledge. I will direct two post-docs and four PhD students who will collect six sets of comparable panel data in three foraging societies:
the Tsimane (Amazon), the Baka (Congo Basin), and the Penan (Borneo). I will use a culturally-specific but cross-culturally comparative method to assess individual local knowledge related to 1) wild edibles; 2) medicine; 3) agriculture; and 4) weather forecast. I will analyze data using instrumental variables to get rigorous estimates of the returns to knowledge on
a) own and offsprings health and b) nutritional status, and c) farming and d) foraging productivity. Data would allow me to make generalizations on 1) the returns to local environmental knowledge and 2) the conditions under which locally developed
knowledge is adaptive or ceases to be so. The ground-breaking nature of this study lies in its explicit attempt to use empirical data and a cross-cultural framework to provide a first test of the adaptive nature of culturally transmitted information, and to do so by linking cultural knowledge to individual outcomes.
Max ERC Funding
1 000 000 €
Duration
Start date: 2011-01-01, End date: 2015-12-31
