5,085 research outputs found
Numerical simulations of multiple scattering of the mode by flux tubes
We use numerial simulations to study the absorption and phase shift of
surface-gravity waves caused by groups of magnetic flux tubes. The dependence
of the scattering coefficients with the distance between the tubes and their
positions is analyzed for several cases with two or three flux tubes embedded
in a quiet Sun atmosphere. The results are compared with those obtained
neglecting completely or partially multiple scattering effects. We show that
multiple scattering has a significant impact on the absorption measurements and
tends to reduce the phase shift. We also consider more general cases of
ensembles of randomly distributed flux tubes, and we have evaluated the effects
on the scattering measurements of changing the number of tubes included in the
bundle and the average distance between flux tubes. We find that for the
longest wavelength incoming waves multiple scattering enhances the absorption,
and its efficiency increases with the number of flux tubes and the reduction of
the distance between them.Comment: Accepted for publication in The Astrophysical Journa
Evaluation of the capability of local helioseismology to discern between monolithic and spaghetti sunspot models
The helioseismic properties of the wave scattering generated by monolithic
and spaghetti sunspots are analyzed by means of numerical simulations. In these
computations, an incident f or p1 mode travels through the sunspot model, which
produces absorption and phase shift of the waves. The scattering is studied by
inspecting the wavefield, computing travel-time shifts, and performing
Fourier-Hankel analysis. The comparison between the results obtained for both
sunspot models reveals that the differences in the absorption coefficient can
be detected above noise level. The spaghetti model produces an steep increase
of the phase shift with the degree of the mode at short wavelengths, while
mode-mixing is more efficient for the monolithic model. These results provide a
clue for what to look for in solar observations to discern the constitution of
sunspots between the proposed monolithic and spaghetti models.Comment: Accepted for publication in The Astrophysical Journa
Helioseismic holography of simulated sunspots: magnetic and thermal contributions to travel times
Wave propagation through sunspots involves conversion between waves of
acoustic and magnetic character. In addition, the thermal structure of sunspots
is very different than that of the quiet Sun. As a consequence, the
interpretation of local helioseismic measurements of sunspots has long been a
challenge. With the aim of understanding these measurements, we carry out
numerical simulations of wave propagation through sunspots. Helioseismic
holography measurements made from the resulting simulated wavefields show
qualitative agreement with observations of real sunspots. We use additional
numerical experiments to determine, separately, the influence of the thermal
structure of the sunspot and the direct effect of the sunspot magnetic field.
We use the ray approximation to show that the travel-time shifts in the thermal
(non-magnetic) sunspot model are primarily produced by changes in the wave path
due to the Wilson depression rather than variations in the wave speed. This
shows that inversions for the subsurface structure of sunspots must account for
local changes in the density. In some ranges of horizontal phase speed and
frequency there is agreement (within the noise level in the simulations)
between the travel times measured in the full magnetic sunspot model and the
thermal model. If this conclusion proves to be robust for a wide range of
models, it would suggest a path towards inversions for sunspot structure.Comment: Accepted for publication in The Astrophysical Journa
Scattering of the f-mode by small magnetic flux elements from observations and numerical simulations
The scattering of f-modes by magnetic tubes is analyzed using
three-dimensional numerical simulations. An f-mode wave packet is propagated
through a solar atmosphere embedded with three different flux tube models which
differ in radius and total magnetic flux. A quiet Sun simulation without a tube
present is also performed as a reference. Waves are excited inside the flux
tube and propagate along the field lines, and jacket modes are generated in the
surroundings of the flux tube, carrying 40% as much energy as the tube modes.
The resulting scattered wave is mainly an f-mode composed of a mixture of m=0
and m=+/-1 modes. The amplitude of the scattered wave approximately scales with
the magnetic flux. A small amount of power is scattered into the p_1-mode. We
have evaluated the absorption and phase shift from a Fourier-Hankel
decomposition of the photospheric vertical velocities. They are compared with
the results obtained from the emsemble average of 3400 small magnetic elements
observed in high-resolution MDI Doppler datacubes. The comparison shows that
the observed dependence of the phase shift with wavenumber can be matched
reasonably well with the simulated flux tube model. The observed variation of
the phase-shifts with the azimuthal order appears to depend on details of
the ensemble averaging, including possible motions of the magnetic elements and
asymmetrically shaped elements.Comment: Accepted for publication in The Astrophysical Journa
Finite-volume matrix elements of two-body states
In this talk, we present a framework for studying structural information of
resonances and bound states coupling to two-hadron scattering states. This
makes use of a recently proposed finite-volume formalism to determine a class
of observables that are experimentally inaccessible but can be accessed via
lattice QCD. In particular, we shown that finite-volume two-body matrix
elements with one current insertion can be directly related to scattering
amplitudes coupling to the external current. For two-hadron systems with
resonances or bound states, one can extract the corresponding form factors of
these from the energy-dependence of the amplitudes.Comment: 7 pages, 2 figures, Proceedings of Lattice 201
Improved detection of farside solar active regions using deep learning
The analysis of waves in the visible side of the Sun allows the detection of
active regions in the farside through local helioseismology techniques. The
knowledge of the magnetism in the whole Sun, including the non-visible
hemisphere, is fundamental for several space weather forecasting applications.
Seismic identification of farside active regions is challenged by the reduced
signal-to-noise, and only large and strong active regions can be reliable
detected. Here we develop a new methodology to improve the identification of
active region signatures in farside seismic maps. We have constructed a deep
neural network that associates the farside seismic maps obtained from
helioseismic holography with the probability of presence of active regions in
the farside. The network has been trained with pairs of helioseismic phase
shift maps and Helioseismic and Magnetic Imager magnetograms acquired half a
solar rotation later, which were used as a proxy for the presence of active
regions in the farside. The method has been validated using a set of artificial
data, and it has also been applied to actual solar observations during the
period of minimum activity of the solar cycle 24. Our approach shows a higher
sensitivity to the presence of farside active regions than standard methods
applied up to date. The neural network can significantly increase the number of
detected farside active regions, and will potentially improve the application
of farside seismology to space weather forecasting.Comment: Accepted for publication in A&
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