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Equation-of-state (EOS) models underpin numerical simulations at the core of research in high energy density physics, inertial confinement fusion, laboratory astrophysics, and elsewhere. In these applications EOS models are needed that span…

Data Analysis, Statistics and Probability · Physics 2022-10-28 Jim A Gaffney , Lin Yang , Suzanne Ali

We explore the systematics of odd-even mass staggering with a view to identifying the physical mechanisms responsible. The BCS pairing and mean field contributions have A- and number parity dependencies which can help disentangle the…

Nuclear Theory · Physics 2009-07-22 W. A. Friedman , G. F. Bertsch

We experimentally investigate the second-order quantum coherence function of a superradiant burst in a cascaded quantum system. We chirally (i.e. direction-dependently) couple roughly 900 cesium atoms to the forward propagating mode of an…

Quantum particles sometimes cooperate to develop a macroscopically ordered state with extraordinary properties. Superconductivity and Bose-Einstein condensation are examples of such cooperative phenomena where macroscopic order appears…

Mesoscale and Nanoscale Physics · Physics 2013-03-28 G. T. Noe , J. -H. Kim , J. Lee , Y. -D. Jho , Y. Wang , A. K. Wojcik , S. A. McGill , D. H. Reitze , A. A. Belyanin , J. Kono

A possibility of formation of the three reaction products having comparable masses at the spontaneous fission of $^{252}$Cf is theoretically explored. This work is aimed to study the mechanism leading to observation of the reaction products…

Nuclear Theory · Physics 2015-10-28 A. K. Nasirov , W. von Oertzen , R. B. Tashkhodjaev

Cluster analysis which focuses on the grouping and categorization of similar elements is widely used in various fields of research. Inspired by the phenomenon of atomic fission, a novel density-based clustering algorithm is proposed in this…

Machine Learning · Computer Science 2020-04-28 Shizhan Lu

The nucleation of crystals from the liquid melt is often characterized by a competition between different crystalline structures or polymorphs, and can result in nuclei with heterogeneous compositions. These mixed-phase nuclei can display…

Soft Condensed Matter · Physics 2021-08-26 Fabio Leoni , John Russo

The fission process is a fascinating phenomenon in which the atomic nucleus, a compact self-bound mesoscopic system, undergoes a spontaneous or induced quantum transition into two or more fragments. A predictive, accurate and precise…

Nuclear Theory · Physics 2019-10-10 J. Dobaczewski

We study the impact of the nuclear symmetry energy and its density dependence on the {\alpha}-decay process. Within the frame work of the performed cluster model and the energy density formalism, we use different parameterizations of the…

Nuclear Theory · Physics 2018-07-04 W. M. Seif , A. S. Hashem

Objective Function Mismatch (OFM) occurs when the optimization of one objective has a negative impact on the optimization of another objective. In this work we study OFM in deep clustering, and find that the popular autoencoder-based…

Machine Learning · Statistics 2024-02-14 Daniel J. Trosten , Sigurd Løkse , Robert Jenssen , Michael Kampffmeyer

Progress in the study of the peripheral nuclear interactions in $^{14}N$ dissociation at $2.1A GeV$ in nuclear emulsion is outlined. The leading role of the multiple fragmentations in the most peripheral nucleus interactions is discussed.…

Nuclear Experiment · Physics 2009-09-30 T. V. Shchedrina , P. I. Zarubin

Spectroscopic Amplitudes (SA) in the Interacting Boson Fermion Fermion Model (IBFFM) are necessary for the computation of $0\nu\beta\beta$ decays but also for cross sections of heavy-ion reactions, in particular, Double Charge Exchange…

Nuclear Theory · Physics 2021-01-15 Ruslan Magaña Vsevolodovna , Elena Santopinto , Roelof Bijker

A self-organization is an universal phenomenon in nature and, in particular, is highly important in materials systems and biology. We proposed a new theory that allowed us to model the most challenging cases of atomic self-assembling whose…

Other Condensed Matter · Physics 2014-11-25 M. Lavrskyi , H. Zapolsky , A. G. Khachaturyan

Deuteron coalescence, during relativistic nucleus-nucleus collisions, is carried out in a model incorporating a minimal quantal treatment of the formation of the cluster from its individual nucleons by evaluating the overlap of intial…

Nuclear Theory · Physics 2008-11-26 D. E. Kahana , S. H. Kahana , Y. Pang , A. J. Baltz , C. B. Dover , E. Schnedermann , T. J. Schlagel

The equation of state (EOS) for neutron star (NS) crusts is studied in the Thomas-Fermi (TF) approximation using the EOS for uniform nuclear matter obtained by the variational method with the realistic nuclear Hamiltonian. The parameters…

Nuclear Theory · Physics 2010-01-07 H. Kanzawa , M. Takano , K. Oyamatsu , K. Sumiyoshi

The formation of clusters at sub-saturation densities constitutes an essential feature for a reliable modelization of the nuclear matter equation of state (EoS). Phenomenological models that make use of energy density functionals (EDFs)…

Nuclear Theory · Physics 2022-07-08 S. Burrello , S. Typel

The fragmentation of quasi-projectiles from the nuclear reaction $^{40}$Ca+$^{12}$C at 25 MeV per nucleon bombarding energy was used to produce $\alpha$-emission sources. From a careful selection of these sources provided by a complete…

Observed well-developed $\alpha$ cluster states in $^{16}$O, located above the four $\alpha$ threshold, are investigated from the viewpoint of Bose-Einstein condensation of $\alpha$ clusters by using a field-theoretical superfluid cluster…

Nuclear Theory · Physics 2019-04-19 Junichi Takahashi , Yoshiya Yamanaka , Shigeru Ohkubo

The presence of $\alpha$ clustered structures in light nuclei can enhance the initial spatial anisotropies in relativistic nuclear collisions relative to those arising from nuclei with uniform density distributions. Thus, observables that…

Outlier detection and cluster number estimation is an important issue for clustering real data. This paper focuses on spectral clustering, a time-tested clustering method, and reveals its important properties related to outliers. The…

Computer Vision and Pattern Recognition · Computer Science 2017-03-06 Takuro Ina , Atsushi Hashimoto , Masaaki Iiyama , Hidekazu Kasahara , Mikihiko Mori , Michihiko Minoh