6,028 research outputs found
Sensitivity analysis of the solar rotation to helioseismic data from GONG, GOLF and MDI observations
Accurate determination of the rotation rate in the radiative zone of the sun
from helioseismic observations requires rotational frequency splittings of
exceptional quality as well as reliable inversion techniques. We present here
inferences based on mode parameters calculated from 2088-days long MDI, GONG
and GOLF time series that were fitted to estimate very low frequency rotational
splittings (nu < 1.7 mHz). These low frequency modes provide data of
exceptional quality, since the width of the mode peaks is much smaller than the
rotational splitting and hence it is much easier to separate the rotational
splittings from the effects caused by the finite lifetime and the stochastic
excitation of the modes. We also have implemented a new inversion methodology
that allows us to infer the rotation rate of the radiative interior from mode
sets that span l=1 to 25. Our results are compatible with the sun rotating like
a rigid solid in most of the radiative zone and slowing down in the core (R_sun
< 0.2). A resolution analysis of the inversion was carried out for the solar
rotation inverse problem. This analysis effectively establishes a direct
relationship between the mode set included in the inversion and the sensitivity
and information content of the resulting inferences. We show that such an
approach allows us to determine the effect of adding low frequency and low
degree p-modes, high frequency and low degree p-modes, as well as some g-modes
on the derived rotation rate in the solar radiative zone, and in particular the
solar core. We conclude that the level of uncertainties that is needed to infer
the dynamical conditions in the core when only p-modes are included is unlikely
to be reached in the near future, and hence sustained efforts are needed
towards the detection and characterization of g-modes.Comment: Accepted for publication in Astrophysical journal. 15 pages, 19
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Variations of the solar granulation motions with height using the GOLF/SoHO experiment
Below 1 mHz, the power spectrum of helioseismic velocity measurements is
dominated by the spectrum of convective motions (granulation and
supergranulation) making it difficult to detect the low-order acoustic modes
and the gravity modes. We want to better understand the behavior of solar
granulation as a function of the observing height in the solar atmosphere and
with magnetic activity during solar cycle 23. We analyze the Power Spectral
Density (PSD) of eleven years of GOLF/SOHO velocity-time series using a
Harvey-type model to characterize the properties of the convective motions in
the solar oscillation power spectrum. We study then the evolution of the
granulation with the altitude in the solar atmosphere and with the solar
activity. First, we show that the traditional use of a lorentzian profile to
fit the envelope of the p modes is not well suitable for GOLF data. Indeed, to
properly model the solar spectrum, we need a second lorentzian profile. Second,
we show that the granulation clearly evolves with the height in the photosphere
but does not present any significant variation with the activity cycle.Comment: Paper accepted in A&A. 7 pages, 4 figures, 2 table
Non-invasive Diabetes Detection using Gabor Filter: A Comparative Analysis of Different Cameras
This paper compares and explores the performance of both mobile device camera
and laptop camera as convenient tool for capturing images for non-invasive
detection of Diabetes Mellitus (DM) using facial block texture features.
Participants within age bracket 20 to 79 years old were chosen for the dataset.
12mp and 7mp mobile cameras, and a laptop camera were used to take the photo
under normal lighting condition. Extracted facial blocks were classified using
k-Nearest Neighbors (k-NN) and Support Vector Machine (SVM). 100 images were
captured, preprocessed, filtered using Gabor, and iterated. Performance of the
system was measured in terms of accuracy, specificity, and sensitivity. Best
performance of 96.7% accuracy, 100% sensitivity, and 93% specificity were
achieved from 12mp back camera using SVM with 100 images.Comment: 11 pages, 5 figures, 3 tables, conferenc
Detection of periodic signatures in the solar power spectrum. On the track of l=1 gravity modes
In the present work we show robust indications of the existence of g modes in
the Sun using 10 years of GOLF data. The present analysis is based on the
exploitation of the collective properties of the predicted low-frequency (25 to
140 microHz) g modes: their asymptotic nature, which implies a quasi
equidistant separation of their periods for a given angular degree (l). The
Power Spectrum (PS) of the Power Spectrum Density (PSD), reveals a significant
structure indicating the presence of features (peaks) in the PSD with near
equidistant periods corresponding to l=1 modes in the range n=-4 to n=-26. The
study of its statistical significance of this feature was fully undertaken and
complemented with Monte Carlo simulations. This structure has a confidence
level better than 99.86% not to be due to pure noise. Furthermore, a detailed
study of this structure suggests that the gravity modes have a much more
complex structure than the one initially expected (line-widths, magnetic
splittings...). Compared to the latest solar models, the obtained results tend
to favor a solar core rotating significantly faster than the rest of the
radiative zone. In the framework of the Phoebus group, we have also applied the
same methodology to other helioseismology instruments on board SoHO and ground
based networks.Comment: Proceedings of the SOHO-18/GONG2006/HELAS I: Beyond the spherical Su
Utilidad de las secuencias potenciadas en susceptibilidad paramagnĂ©tica (SWI) para diferenciar crisis somestĂ©sicas de accidentes isquĂ©micos transitorios en un paciente con angiopatĂa amiloide cerebral
Background. Cerebral amyloid angiopathy (CAA) is
characterized by the deposit of β-amyloid on the walls
of small and medium-sized arteries of the cerebral cortex
and leptomeninges causing cerebral bleeding. Clinical
presentations may include transient neurological
events for which differential diagnosis can be difficult.
Case report. We report a subject with a medical history
of recent stroke who presented somesthetic seizures
mimicking transient ischemic attacks owing to CAA
microbleeding. Antiplatelet treatment was reduced and
after lamotrigine was commenced the episodes disappeared.
Susceptibility-weighted magnetic resonance
imaging was very helpful for diagnosis (SWI-MRI).
Conclusions. CAA microbleeding can be manifested in
the form of seizures mimicking focal transient sensitive
neurological deficits that can be erroneously attributed
to cerebral ischemia. The present case report suggests
that, despite the presence of a past medical history of
strokes, neurologists should consider CAA microbleeding
as a possible cause of pseudo-transient ischemic
attacks. High-resolution neuroimaging including SWIMRI
imaging can be helpful in identifying cortical microbleedings.
In this way, the start or increase of antiplatelet
treatment can be avoided, and the risk of potentially
fatal complications minimize
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