The organization of the PhyNuBE schools is one of the key initiatives of the GDR RESANET. These schools aim at educating physicists in the field of low-energy nuclear physics and promoting exchanges between them. The subject of our discipline deal with the study of the structure and dynamics of atomic nuclei, fundamental symmetries, fission, astrophysics, physics at the drip lines and societal applications, to quote a few.
Over the past decade, innovative experimental and theoretical methods have emerged. These new avenues require for both young and experienced scientists to constantly acquire new knowledge and to master new tools. The aim of this 4th school is to introduce them and train researchers and students in emerging concepts.
The following subjects, mostly here applied to nuclear physics, will be addressed:
- Machine learning and artificial intelligence in experiment and theory
- Bayesian methods to predict physics phenomena from observations and theories
- Quantum computing
- Quantum sensors
- Storage rings for spectroscopy and reactions
- Study of open nuclear quantum systems and synergy with other quantum objects
For the three first topics, lectures will be followed by a 3-hours training sessions in oder to favour the understanding and integration of the subjects.
We have asked for finantial support from the 'Formation Permanente of the CNRS'. Therefore, we encourage physicists employed by CNRS to participate to the school, as they could be fully supported, if our demand is accepted.
Registration will open mid-september. Meanwhile note this date in your agenda.
