386 research outputs found
On the Quasi-Periodic Oscillations of Magnetars
We study torsional Alfv\'en oscillations of magnetars, i.e., neutron stars
with a strong magnetic field. We consider the poloidal and toroidal components
of the magnetic field and a wide range of equilibrium stellar models. We use a
new coordinate system (X,Y), where ,
and is the radial component of the magnetic
field. In this coordinate system, the 1+2-dimensional evolution equation
describing the quasi-periodic oscillations, QPOs, see Sotani et al. (2007), is
reduced to a 1+1-dimensional equation, where the perturbations propagate only
along the Y-axis. We solve the 1+1-dimensional equation for different boundary
conditions and open magnetic field lines, i.e., magnetic field lines that reach
the surface and there match up with the exterior dipole magnetic field, as well
as closed magnetic lines, i.e., magnetic lines that never reach the stellar
surface. For the open field lines, we find two families of QPOs frequencies; a
family of "lower" QPOs frequencies which is located near the X-axis and a
family of "upper" frequencies located near the Y-axis. According to Levin
(2007), the fundamental frequencies of these two families can be interpreted as
the turning points of a continuous spectrum. We find that the upper frequencies
are constant multiples of the lower frequencies with a constant equaling 2n+1.
For the closed lines, the corresponding factor is n+1 . By these relations, we
can explain both the lower and the higher observed frequencies in SGR 1806-20
and SGR 1900+14.Comment: 8 pages, 7 figure
Magnetar Oscillations I: strongly coupled dynamics of the crust and the core
Quasi-Periodic Oscillations (QPOs) observed during Soft Gamma Repeaters giant
flares are commonly interpreted as the torsional oscillations of magnetars. The
oscillatory motion is influenced by the strong interaction between the shear
modes of the crust and Alfven-like modes in the core. We study the dynamics
which arises through this interaction, and present several new results: (1) We
show that global {\it edge modes} frequently reside near the edges of the core
Alfven continuum. (2) We compute the magnetar's oscillatory motion for
realistic axisymmetric magnetic field configurations and core density profiles,
but with a simplified model of the elastic crust. We show that one may
generically get multiple gaps in the Alfven continuum. One obtains discrete
global {\it gap modes} if the crustal frequencies belong to the gaps. (3) We
show that field tangling in the core enhances the role of the core discrete
Alfven modes and reduces the role of the core Alfven continuum in the overall
oscillatory dynamics of the magnetar. (4) We demonstrate that the system
displays transient and/or drifting QPOs when parts of the spectrum of the core
Alfven modes contain discrete modes which are densely and regularly spaced in
frequency. (5) We show that if the neutrons are coupled into the core Alfven
motion, then the post-flare crustal motion is strongly damped and has a very
weak amplitude. Thus magnetar QPOs give evidence that the proton and neutron
components in the core are dynamically decoupled and that at least one of them
is a quantum fluid. (6) We show that it is difficult to identify the
high-frequency 625 Hz QPO as being due to the physical oscillatory mode of the
magnetar, if the latter's fluid core consists of the standard
proton-neutron-electron mixture and is magnetised to the same extent as the
crust. (Abstract abridged)Comment: 22 pages, 22 figures, submitted to MNRA
A Survey on the Expression of the Ubiquitin Proteasome System Components HECT- and RBR-E3 Ubiquitin Ligases and E2 Ubiquitin-Conjugating and E1 Ubiquitin-Activating Enzymes during Human Brain Development
Non-destructive age estimation of biological fluid stains: An integrated analytical strategy based on near-infrared hyperspectral imaging and multivariate regression
An alternative application of the consensus method to DNA typing interpretation for Low Template-DNA mixtures
Chandrasekhar-Kendall functions in astrophysical dynamos
Some of the contributions of Chandrasekhar to the field of
magnetohydrodynamics are highlighted. Particular emphasis is placed on the
Chandrasekhar-Kendall functions that allow a decomposition of a vector field
into right- and left-handed contributions. Magnetic energy spectra of both
contributions are shown for a new set of helically forced simulations at
resolutions higher than what has been available so far. For a forcing function
with positive helicity, these simulations show a forward cascade of the
right-handed contributions to the magnetic field and nonlocal inverse transfer
for the left-handed contributions. The speed of inverse transfer is shown to
decrease with increasing value of the magnetic Reynolds number.Comment: 10 pages, 5 figures, proceedings of the Chandrasekhar Centenary
Conference, to be published in PRAMANA - Journal of Physic
Comprehensive biomarker profiles and chemometric filtering of urinary metabolomics for effective discrimination of prostate carcinoma from benign hyperplasia
Determining Cu–Speciation in the Cu–CHA Zeolite Catalyst: The Potential of Multivariate Curve Resolution Analysis of In Situ XAS Data
Identification by GC-MS Analysis of Organics in Manufactured Articles through a D-Optimal Design
Many manufactured articles are made of composite materials often bonded by a phenolic resin. Through a D-optimal design, we optimized a method to characterize phenolic resins after the extraction process by GC-MS analysis. The study was conducted on three different phenolic resins and four manufactured articles with the same inorganic composition and different analyzed binders. Moreover, three cardanol resins that differ in their production systems were analyzed to see if there were differences between them. Through Soxhlet extraction with dichloromethane or acetone, it is possible to differentiate the raw materials through characteristic compounds and to identify them in the manufactured articles
Direct and indirect alcohol biomarkers data collected in hair samples - multivariate data analysis and likelihood ratio interpretation perspectives
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