27,880 research outputs found
Particles in classically forbidden area, neutron skin and halo, and pure neutron matter in Ca isotopes
The nucleon density distributions and the thickness of pure neutron matter in
Ca isotopes were systematically studied using the Skyrme-Hartree-Fock model
(SHF) from the -stability line to the neutron drip-line. The pure
neutron matter, related with the neutron skin or halo, was shown to depend not
only on the Fermi levels of the neutrons but also on the orbital angular
momentum of the valence neutrons. New definitions for the thickness of pure
neutron matter are proposed.Comment: 6 pages, 5 figure
Generalized MICZ-Kepler Problems and Unitary Highest Weight Modules
For each integer , we demonstrate that a -dimensional
generalized MICZ-Kepler problem has an \mr{Spin}(2, 2n+2) dynamical symmetry
which extends the manifest \mr{Spin}(2n+1) symmetry. The Hilbert space of
bound states is shown to form a unitary highest weight \mr{Spin}(2,
2n+2)-module which occurs at the first reduction point in the
Enright-Howe-Wallach classification diagram for the unitary highest weight
modules. As a byproduct, we get a simple geometric realization for such a
unitary highest weight \mr{Spin}(2, 2n+2)-module.Comment: 27 pages, Refs. update
Phase diagrams of vortex matter with multi-scale inter-vortex interactions in layered superconductors
It was recently proposed to use the stray magnetic fields of superconducting
vortex lattices to trap ultracold atoms for building quantum emulators. This
calls for new methods for engineering and manipulating of the vortex states.
One of the possible routes utilizes type-1.5 superconducting layered systems
with multi-scale inter-vortex interactions. In order to explore the possible
vortex states that can be engineered, we present two phase diagrams of
phenomenological vortex matter models with multi-scale inter-vortex
interactions featuring several attractive and repulsive length scales. The
phase diagrams exhibit a plethora of phases, including conventional 2D lattice
phases, five stripe phases, dimer, trimer, and tetramer phases, void phases,
and stable low-temperature disordered phases. The transitions between these
states can be controlled by the value of an applied external field.Comment: 16 pages, 20 figure
Tidal Dissipation in WASP-12
WASP-12 is a hot Jupiter system with an orbital period of , making it one of the shortest-period giant planets known. Recent transit
timing observations by Maciejewski et al. (2016) and Patra et al. (2017) find a
decreasing period with . This has been
interpreted as evidence of either orbital decay due to tidal dissipation or a
long term oscillation of the apparent period due to apsidal precession. Here we
consider the possibility that it is orbital decay. We show that the parameters
of the host star are consistent with either a main
sequence star or a subgiant. We find that if the
star is on the main sequence, the tidal dissipation is too inefficient to
explain the observed . However, if it is a subgiant, the tidal
dissipation is significantly enhanced due to nonlinear wave breaking of the
dynamical tide near the star's center. The subgiant models have a tidal quality
factor and an orbital decay rate that agrees well
with the observed . It would also explain why the planet survived for
while the star was on the main sequence and yet is now
inspiraling on a 3 Myr timescale. Although this suggests that we are witnessing
the last of the planet's life, the probability of such a detection
is a few percent given the observed sample of hot Jupiters in
hosts.Comment: 6 pages, 3 figures, accepted to ApJ Letter
Kernel-based Inference of Functions over Graphs
The study of networks has witnessed an explosive growth over the past decades
with several ground-breaking methods introduced. A particularly interesting --
and prevalent in several fields of study -- problem is that of inferring a
function defined over the nodes of a network. This work presents a versatile
kernel-based framework for tackling this inference problem that naturally
subsumes and generalizes the reconstruction approaches put forth recently by
the signal processing on graphs community. Both the static and the dynamic
settings are considered along with effective modeling approaches for addressing
real-world problems. The herein analytical discussion is complemented by a set
of numerical examples, which showcase the effectiveness of the presented
techniques, as well as their merits related to state-of-the-art methods.Comment: To be published as a chapter in `Adaptive Learning Methods for
Nonlinear System Modeling', Elsevier Publishing, Eds. D. Comminiello and J.C.
Principe (2018). This chapter surveys recent work on kernel-based inference
of functions over graphs including arXiv:1612.03615 and arXiv:1605.07174 and
arXiv:1711.0930
Effective field theory for triaxially deformed nuclei
Effective field theory (EFT) is generalized to investigate the rotational
motion of triaxially deformed even-even nuclei. A Hamiltonian, called the
triaxial rotor model (TRM), is obtained up to next-to-leading order (NLO)
within the EFT formalism. Its applicability is examined by comparing with a
five-dimensional collective Hamiltonian (5DCH) for the description of the
energy spectra of the ground state and band in Ru isotopes. It is
found that by taking into account the NLO corrections, the ground state band in
the whole spin region and the band in the low spin region are well
described. The results presented here indicate that it should be possible to
further generalize the EFT to triaxial nuclei with odd mass number.Comment: 21 pages, 9 figure
Behavior of the collective rotor in nuclear chiral motion
The behavior of the collective rotor in the chiral motion of triaxially
deformed nuclei is investigated using the particle rotor model by transforming
the wave functions from the -representation to the -representation. After
examining the energy spectra of the doublet bands and their energy differences
as functions of the triaxial deformation, the angular momentum components of
the rotor, proton, neutron, and the total system are investigated. Moreover,
the probability distributions of the rotor angular momentum (-plots) and
their projections onto the three principal axes (-plots) are analyzed. The
evolution of the chiral mode from a chiral vibration at the low spins to a
chiral rotation at high spins is illustrated at triaxial deformations
and .Comment: 21 pages, 6 figure
Understanding Viral Transmission Behavior via Protein Intrinsic Disorder Prediction: Coronaviruses
Besides being a common threat to farm animals and poultry, coronavirus (CoV) was responsible for the human severe acute respiratory syndrome (SARS) epidemic in 2002-4. However, many aspects of CoV behavior, including modes of its transmission, are yet to be fully understood. We show that the amount and the peculiarities of distribution of the protein intrinsic disorder in the viral shell can be used for the efficient analysis of the behavior and transmission modes of CoV. The proposed model allows categorization of the various CoVs by the peculiarities of disorder distribution in their membrane (M) and nucleocapsid (N). This categorization enables quick identification of viruses with similar behaviors in transmission, regardless of genetic proximity. Based on this analysis, an empirical model for predicting the viral transmission behavior is developed. This model is able to explain some behavioral aspects of important coronaviruses that previously were not fully understood. The new predictor can be a useful tool for better epidemiological, clinical, and structural understanding of behavior of both newly emerging viruses and viruses that have been known for a long time. A potentially new vaccine strategy could involve searches for viral strains that are characterized by the evolutionary misfit between the peculiarities of the disorder distribution in their shells and their behavior
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