RESNET (Residual Networks) is a deep learning architecture that has shown exceptional performance in image classification tasks. In this work, we apply a pre-trained RESNET model to classify and analyze laser crater data, leveraging its ability to capture complex patterns in high-dimensional datasets. The RESNET architecture provides a robust framework for improving the accuracy and speed of...
The poster presents an extension for the Particle-in-Cell (PIC) simulation code, incorporating Quantum Electrodynamic Synchrotron Radiation effect to enhance the simulation of plasma phenomena. PIConGPU, a highly scalable and open-source 3D PIC code, is employed to model complex interactions in plasma physics. The implemented algorithm approximates radiation by calculating photon emission...
We compute the anisotropic electrical conductivity tensor of the inner crust of a compact star at nonzero temperature by extending a previous work on the conductivity of the outer crust. The physical scenarios, where such crust is formed, involve protoneutron stars born in supernova explosions, binary neutron star mergers, and accreting neutron stars. The temperature-density range studied...
We perform a Bayesian analysis of the equation of state (EOS) constraints using recent observational data, including pulsar masses, radii, and tidal deformabilities. Our focus is on a class of hybrid neutron star EOS that incorporates color superconducting quark matter, based on a recently developed nonlocal chiral quark model. The nuclear matter phase is described using a relativistic density...
In the light of the recent discoveries at CMS regarding the $X(6900)$ and other all-charm tetraquark candidates we will discuss the internal structure of the all-charm tetraquarks and the impact of the Pauli blocking on the possible substructures of exotic hadrons and the mass spectrum of the fully-heavy tetraquarks. We will provide our proposition of the structure of the tetraquark and the...
Path-integral Monte Carlo (PIMC) simulations are a powerful tool for investigating the properties of dense plasmas in equilibrium, capable of providing exact solutions to the quantum many-body problem. However, being formulated in the imaginary-time domain, these methods only give direct access to imaginary-time correlation functions from which spectral information may be inferred. Carrying...
This work extends the thermodynamics of a chirally symmetric confining energy density functional approach for quark matter to higher-order Taylor expansion in the quark bilinears, which goes beyond the standard current-current form [1] and encodes confining effects inn the medium dependence of the Taylor expansion coefficients [2]. These higher
order interaction terms allow for a softness of...
One of the most successful treatments in cancer therapy is proton therapy, with radiation planning being a key element. Photon CT is commonly used for this purpose; however, it does not provide sufficiently accurate information about the range of protons. Therefore, proton CT imaging is more favorable for radiation planning. Due to the Coulomb scattering of protons, it is important to...
Understanding warm dense matter relies on accurate theoretical input to interpret experimental observables such as X-ray Thomson scattering spectra. In this work, we perform density functional theory molecular dynamics simulations of aluminum to compute the static ion structure factor across a range of density-temperature conditions. To efficiently explore a finer grid, we train a neural...
