Towards Precise and Accurate Calculations of Neutrinoless Double-Beta Decay: Project Scoping Workshop Report

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   Nuclear matrix elements of double beta decay from beta decay

   Jouni Suhonen · 2004 · Phys.Lett. B607 (2005) 87-95 · AI summary available

   Abstract

   The evaluation of the nuclear matrix elements (NME) of the two-neutrino double beta ($2νββ$) decay and neutrinoless double beta ($0νββ$) decay using the proton-neutron quasiparticle random-phase approximation (pnQRPA) is addressed. In particular, the extraction of a proper value of the proton-neutron particle-particle interaction parameter, $g_{\rm pp}$, of this theory is analyzed in detail. Evidence is shown, that it can be misleading to use the experimental half-life of the $2νββ$ decay to extract a value for $g_{\rm pp}$. Rather, arguments are given in favour of using the available data on single beta decay for this purpose.

2. Related Not relevant

   Probing Nuclear Structure of Heavy Ions at the Large Hadron Collider

   Heikki Mäntysaari, Björn Schenke, Chun Shen et al. · 2024 · Nuclear Theory · AI summary available

   Abstract

   We perform high-statistics simulations to study the impacts of nuclear structure on the ratios of anisotropic flow observables in $^{208}$Pb+$^{208}$Pb and $^{129}$Xe+$^{129}$Xe collisions at the Large Hadron Collider. Even with $40\%$ difference in atomic numbers between $^{208}$Pb and $^{129}$Xe nuclei, the ratios of anisotropic flow in the same centrality class between the two collision systems are strongly affected by the nuclear structure inputs in the initial state. The ratios of $v_2\{4\}/v_2\{2\}$ in these collisions are sensitive to the nuclear skin thickness of the colliding nuclei, providing indirect constraints on the nuclei's neutron skin. Our model predictions serve as a benchm…

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   Decoding Neutron Star Observations: Revealing Composition through Bayesian Neural Networks

   Valéria Carvalho, Márcio Ferreira, Tuhin Malik et al. · 2023 · Nuclear Theory · Not summarized yet

   Abstract

   We exploit the great potential offered by Bayesian Neural Networks (BNNs) to directly decipher the internal composition of neutron stars (NSs) based on their macroscopic properties. By analyzing a set of simulated observations, namely NS radius and tidal deformability, we leverage BNNs as effective tools for inferring the proton fraction and sound speed within NS interiors. To achieve this, several BNNs models were developed upon a dataset of $\sim$ 25K nuclear EoS within a relativistic mean-field framework, obtained through Bayesian inference that adheres to minimal low-density constraints. Unlike conventional neural networks, BNNs possess an exceptional quality: they provide a prediction u…

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   Theory of Jet Quenching in Ultra-Relativistic Nuclear Collisions

   Guang-You Qin · 2014 · Nuclear Theory · AI summary available

   Abstract

   We present a short overview of recent progress in the theory of jet quenching in ultra-relativistic nuclear collisions, including phenomenological studies of jet quenching at RHIC and the LHC, development in NLO perburbative QCD calculation of jet broadening and energy loss, full jet evolution and modification, medium response to jet transport, and lattice QCD and AdS/CFT studies of jet quenching.

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   Nuclear Matter and Nuclear Dynamics

   M Colonna · 2009 · Nuclear Theory · AI summary available

   Abstract

   Highlights on the recent research activity, carried out by the Italian Community involved in the "Nuclear Matter and Nuclear Dynamics" field, will be presented.

6. Related Not relevant

   Parameterization of the Woods-Saxon Potential for Shell-Model Calculations

   N. Schwierz, I. Wiedenhover, A. Volya · 2007 · Nuclear Theory · AI summary available

   Abstract

   The drastically expanded use of the Woods-Saxon potential in modern day nuclear physics and the availability of new nuclear data motivated us to review and optimize the parameters of this potential to the experimental single-nucleon spectra around the doubly-magic nuclei between $^{16}$O and $^{208}$Pb. We obtain a parameterization which is applicable over the whole nuclear chart for nuclides between $^{16}$O and the heaviest elements. Apart from Coulomb components the obtained parameter set is isospin symmetric. We demonstrate that the potential provides a good description of the nuclear mean field leading to quality single-particle spectra, nuclear radii, prediction of drip-lines, shell cl…

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   Modeling the diffusive dynamics of critical fluctuations near the QCD critical point

   Marlene Nahrgang, Marcus Bluhm · 2020 · Phys. Rev. D 102, 094017 (2020) · AI summary available

   Abstract

   The experimental search for the QCD critical point by means of relativistic heavy-ion collisions necessitates the development of dynamical models of fluctuations. In this work we study the fluctuations of the net-baryon density near the critical point. Due to net-baryon number conservation the correct dynamics is given by the fluid dynamical diffusion equation, which we extend by a white noise stochastic term to include intrinsic fluctuations. We quantify finite resolution and finite size effects by comparing our numerical results to analytic expectations for the structure factor and the equal-time correlation function. In small systems the net-baryon number conservation turns out to be quan…

8. Related Not relevant

   Models for photo- and electro-production of K^+ in view of new data

   P. Bydzovsky, F. Cusanno, S. Frullani et al. · 2003 · Nuclear Theory · Not summarized yet

   Abstract

   Predictions of isobaric and Regge models are compared with the latest experimental data (Bonn,JLab) to select among the models those providing a satisfactory description of the data. Only the Saclay-Lyon and MAID models are in a reasonable agreement with both photo- and electro-production data ranging up to about 2.5 GeV.