23–27 Jan 2023
Bormio, Italy
Europe/Berlin timezone

Session

Monday Morning

23 Jan 2023, 09:00
Bormio, Italy

Bormio, Italy

Conveners

Monday Morning

  • Laura Fabbietti (TUM)

Presentation materials

  1. 23/01/2023, 09:00
    Short Contribution
  2. Prof. Tatyana Galatyuk (Tu-Darmstadt)
    23/01/2023, 09:10
    Overview Talk

    The microscopic properties of the strong-interaction matter under extreme conditions of temperature and density is a topic of great current interest. Despite 18 orders of magnitude difference in system size and time, the conditions present in heavy-ion collisions share great overlap with the conditions of the strong-interaction matter in neutron-star mergers. The possibility to form and...

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  3. Marcel Merk (Nikhef)
    23/01/2023, 09:55
    Overview Talk

    The Flavour puzzle is one the most intruiging mysteries in particle physics.
    Why does nature provide us with three generations of similar fundamental fermions according to the Standard Model scheme?
    In the talk we will examine selected results of the LHCb experiment, which tries to zoom in on this puzzle.

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  4. Harald Appelshäuser (Univ. Frankfurt)
    23/01/2023, 11:10
    Overview Talk

    Light-nuclei production yields in heavy-ion collisions are well described in the frameworkof Statistical Hadronization Models (SHM) but a thorough understanding of the underlying dynamics is still missing. In a complementary approach, synthesis of light nuclei can be modeled in terms of final state coalescence of nucleons. While yielding an equally good description in heavy-ion collisions,...

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  5. Dr Chiara Mazzocchi (University of Warsaw)
    23/01/2023, 11:55
    Overview Talk

    Thermonuclear reactions that power the stars take place at different energies according to their respective stellar environments. Such energies are well below the Coulomb barrier and the respective cross-sections are extremely small, often below experimental reach. Modelling energy production in stars requires experimental data on cross-sections for low energies; these data are sparse. As a...

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