Name: 53. Arbeitstreffen Kernphysik 2024
Start: 2024-02-15T09:00:00+01:00
End: 2024-02-22T13:00:00+01:00
Location: Schlechinger Bürgerhaus

Electromagnetic form factors and radii of the proton and neutron from lattice QCD

Hypernuclei identification using machine learning techniques

Topological separation of dielectron signals in Pb--Pb collisions with ALICE

Shear viscosity from quenched to full lattice QCD

Seminar review:

Seminar review

Machine learning in photon measurements

Psi(2S)/Jpsi ratio in pp collisions at 13 TeV using TRD triggered data

Study of c c-bar c c-bar and c c-bar s s-bar at Belle

Characterising the chemical freeze-out at high net-baryon densities and moderate temperatures with the HADES detector

How to study Tcc+ and X(3807) with femtoscopy at the LHC

D*-pion/kaon and D-pion/kaon:first measurement of the residual strong interaction

Prospects for Charm Spectroscopy in Semileptonic B-Decays at LHCb

Hyperon Dalitz decays with PANDA@HADES

Charm quark thermalization in the quark-gluon plasma at RHIC energies

Latest ALICE results on charm and beauty hadronization

Fluid dynamics of charm quarks in the quark-gluon plasma

Quark diffusion coefficients in the phase structure of QCD

Evidence of deconfinement from the charm sector

Lattice QCD study of thermal static potential and quarkonia spectral function

Topological susceptibility at high temperatures from Lattice QCD

Pseudoscalar correlators across the finite temperature crossover

QCD and its phase diagram using functional renormalization

Unbiased Exponential Resummation: New way of Exploring finite-density QCD

Baryon Masses from Lattice QCD+QED

Modeling Calorimeter Response with Transformers

Modeling charged-particle spectra in pp collisions with deep neural networks

Hypernuclei identification using machine learning techniques

Reconstruction of $\Sigma^{+}$ using machine learning techniques

Neural-Network-Based Event Reconstruction for the RadMap Telescope

Multi-Particle reconstruction in Detector Data Using Object-Centric Machine Learning

ML approaches for unfolding experimental data

Reconstruction of $\Sigma^{+}$ using machine learning techniques

Multi-Particle reconstruction in Detector Data Using Object-Centric Machine Learning

New Methods to Separate Signal and Background Amplitudes: An Application to Hadron Spectroscopy

Machine Learning Applications for the X -> SH -> 4b Analysis at the ATLAS Experiment

Finetuning foundation models for joint analysis optimisation

Machine Learning Strategies for Enhanced Performance: Model Parameter Optimization and Order Reduction in Nuclear Physics

Committee Meeting

Eine Sonne auf Erden - Kernfusion als CO2-freie Energiequelle

Seminar

Libero

Main Speaker

53. Arbeitstreffen Kernphysik 2024

Support

Material Package

Choose timezone

53. Arbeitstreffen Kernphysik 2024

Support