1. Helmholtz International Center for Opportunities for NuSTAR and Accelerator R&D Norbert Pietralla Technical University Darmstadt (TUD) (Institute for Nuclear Physics) Helmholtz International Center for FAIR

2. Helmholtz International Center for March 6, 2008Norbert Pietralla2 What is NuSTAR ? Basic research in Nuclear STructure Nuclear Astrophysics Nuclear Reactions with beams of short-lived nuclei at energies 0 – 1.5 GeV/u @ FAIR International collaboration (established in 2003) chair: W.Gelletly, Univ. of Surrey, UK members: > 700 nuclear scientists > 120 institutions > 25 countries purpose: superstructure of 9 experimental collaborations at FAIR including nuclear theory International collaboration for physics with radioactive ion beams at FAIR HIC for FAIR aims at an exploitation of the hightech opportunities at the FAIR accelerator complex. The HIC will guarantee a dominant role in selected NuSTAR experiments and theory for Hessian universities, its students, and society.

3. Helmholtz International Center for March 6, 2008Norbert Pietralla3 Motivation for NuSTAR

4. Helmholtz International Center for March 6, 2008Norbert Pietralla4 Motivation for NuSTAR  What are the limits of nuclear existence ?  How does the nuclear force depend on a variation of the proton-to-neutron ratio ?  How do collective nuclear phenomena emerge from nucleons and nuclear force ?  How are complex nuclei formed from the underlying constituents and QCD ?  What nuclei are relevant for cosmic processes and what are their properties ?

5. Helmholtz International Center for March 6, 2008Norbert Pietralla5 HIC for FAIR project areas Monte Carlo methods Coupled partial-differential equations QCD-phenomenology Detector design, Optimization and R&D Pattern recognition and Trigger concepts Large volume data analysis Accelerator optimization and R&D HIC for FAIR concentrates on strategic NuSTAR activities that complement the expertise of HIC‘s partner institutions.

6. Helmholtz International Center for March 6, 2008Norbert Pietralla6 HIC for FAIR opportunities for NuSTAR HIC for FAIR provides access to NuSTAR experiments, theory, and technology for academic groups and students at Hessian universities Low-Energy Branch: - HISPEC/DESPEC (AGATA) High-Energy Branch - R 3 B Ring Branch - ILIMA - EXL - ELISe Super-FRS Accelerators (3 examples and following presentation of selected work packages)

7. Helmholtz International Center for March 6, 2008Norbert Pietralla7 FAIR Accelerator Physics Synchrotron RF cavities Physics program requires a high-intensity proton beam FAIR requires a reliable injector chain Superconducting CH-cavity SC LINAC cavities

8. Helmholtz International Center for March 6, 2008Norbert Pietralla8 HIC for FAIR opportunities for Nuclear Masses Involve HIC for FAIR project areas Detector Design Accelerator Optimization Will be measured with NuSTAR -ILIMA @ FAIR

9. Helmholtz International Center for March 6, 2008Norbert Pietralla9 HIC for FAIR opportunities for Supernova Simulation Expand from 1-D model to 2-D, 3-D  Nuclear Equation of State  Neutrino transport in matter  Nuclear masses and reaction rates far off stability Current status: A spherical supernova does not explode ! Remnants of SN1054

10. Helmholtz International Center for March 6, 2008Norbert Pietralla10 Supernova Simulation  Involve HIC for FAIR project areas Monte Carlo Simulations (dynamics of SN) Coupled partial differential equations (nucleosynthesis networks) QCD-phenomenology (extrapolate masses, Q-values, reaction cross sections) Courtesy: Hans-Thomas Janka HIC for FAIR challenge: Supernova simulation consistent with observed r-process abundance

11. Helmholtz International Center for March 6, 2008Norbert Pietralla11 Pattern Recognition: HISPEC/DESPEC AGATA-prototype 2007

12. Helmholtz International Center for March 6, 2008Norbert Pietralla12 Pattern Recognition: HISPEC/DESPEC AGATA for optimum Doppler- correction and efficiency HIC for FAIR challenge: Gamma-tracking algorithms for HISPEC Gamma-imaging as a potential commercial spin-off.  Involve HIC for FAIR project areas Large volume data analysis Pattern recognition