102 research outputs found
Magnetic pattern at supergranulation scale: the Void Size Distribution
The large-scale magnetic pattern of the quiet sun is dominated by the
magnetic network. This network, created by photospheric magnetic fields swept
into convective downflows, delineates the boundaries of large scale cells of
overturning plasma and exhibits voids in magnetic organization. Such voids
include internetwork fields, a mixed-polarity sparse field that populate the
inner part of network cells. To single out voids and to quantify their
intrinsic pattern a fast circle packing based algorithm is applied to 511
SOHO/MDI high resolution magnetograms acquired during the outstanding solar
activity minimum between 23 and 24 cycles. The computed Void Distribution
Function shows a quasi-exponential decay behavior in the range 10-60 Mm. The
lack of distinct flow scales in such a range corroborates the hypothesis of
multi-scale motion flows at the solar surface. In addition to the
quasi-exponential decay we have found that the voids reveal departure from a
simple exponential decay around 35 Mm.Comment: 6 pages, 8 figures, to appear in Astronomy and Astrophysic
Multiple field-of-view MCAO for a Large Solar Telescope: LOST simulations
In the framework of a 4m class Solar Telescope we studied the performance of
the MCAO using the LOST simulation package. In particular, in this work we
focus on two different methods to reduce the time delay error which is
particularly critical in solar adaptive optics: a) the optimization of the
wavefront reconstruction by reordering the modal base on the basis of the
Mutual Information and b) the possibility of forecasting the wavefront
correction through different approaches. We evaluate these techniques
underlining pros and cons of their usage in different control conditions by
analyzing the results of the simulations and make some preliminary tests on
real data.Comment: 10 pages, 5 figures to be published in Adaptive Optics Systems II
(Proceedings Volume) Proceedings of SPI
JP3D compression of solar data-cubes: photospheric imaging and spectropolarimetry
Hyperspectral imaging is an ubiquitous technique in solar physics
observations and the recent advances in solar instrumentation enabled us to
acquire and record data at an unprecedented rate. The huge amount of data which
will be archived in the upcoming solar observatories press us to compress the
data in order to reduce the storage space and transfer times. The correlation
present over all dimensions, spatial, temporal and spectral, of solar data-sets
suggests the use of a 3D base wavelet decomposition, to achieve higher
compression rates. In this work, we evaluate the performance of the recent
JPEG2000 Part 10 standard, known as JP3D, for the lossless compression of
several types of solar data-cubes. We explore the differences in: a) The
compressibility of broad-band or narrow-band time-sequence; I or V stokes
profiles in spectropolarimetric data-sets; b) Compressing data in
[x,y,] packages at different times or data in [x,y,t] packages of
different wavelength; c) Compressing a single large data-cube or several
smaller data-cubes; d) Compressing data which is under-sampled or super-sampled
with respect to the diffraction cut-off
A Probabilistic Approach to the Drag-Based Model
The forecast of the time of arrival of a coronal mass ejection (CME) to Earth
is of critical importance for our high-technology society and for any future
manned exploration of the Solar System. As critical as the forecast accuracy is
the knowledge of its precision, i.e. the error associated to the estimate. We
propose a statistical approach for the computation of the time of arrival using
the drag-based model by introducing the probability distributions, rather than
exact values, as input parameters, thus allowing the evaluation of the
uncertainty on the forecast. We test this approach using a set of CMEs whose
transit times are known, and obtain extremely promising results: the average
value of the absolute differences between measure and forecast is 9.1h, and
half of these residuals are within the estimated errors. These results suggest
that this approach deserves further investigation. We are working to realize a
real-time implementation which ingests the outputs of automated CME tracking
algorithms as inputs to create a database of events useful for a further
validation of the approach.Comment: 18 pages, 4 figure
Ordering of Ge quantum dots on silicon surfaces via bottom-up and top-down approaches
The nanoscale ordering of inorganic semiconductor quantum dots (QDs) is crucial to obtain reliable structures for novel nanotechnological applications such as nanomemories, nanolasers and nanoelectronic devices. We have directly grown Ge QDs by physical vapour deposition (PVD) on Si(111), Si(100) and some of its vicinal surfaces and studied innovative bottom up techniques to order such nanostructures. Specifically, we harnessed naturally occurring instabilities due to reconstruction and intrinsic anisotropic diffusion in Si bare surfaces, such as step bunching and natural steps occurring in silicon vicinal surfaces, to order the QDs both in one dimension and in the plane. We have also shown the use of controlled quantities of surfactants, like Sb, dramatically improves the desired ordering. Moreover, we have assisted these self-assembling processes using top-down approaches like Focused Ion Beam (FIB) milling and STM nanoindentation to control the nucleation sites and the density of the Ge QDs. Real-time study of growth and self-assembly has been accomplished using Scanning Tunneling Microscopy imaging in UHV. An explanation of the occurring processes is given, and a software routine is used to quantify the ordering of the QDs both in pre-patterned and bare surfaces. Applications, mainly in the field of Nanocrystal Nonvolatile Memories, are discussed
Chromospheric Heating by Acoustic Waves Compared to Radiative Cooling: II -- Revised Grid of Models
Acoustic and magnetoacoustic waves are considered to be possible agents of
chromospheric heating. We present a comparison of deposited acoustic energy
flux with total integrated radiative losses in the middle chromosphere of the
quiet Sun and a weak plage. The comparison is based on a consistent set of
high-resolution observations acquired by the IBIS instrument in the Ca II 854.2
nm line. The deposited acoustic-flux energy is derived from Doppler velocities
observed in the line core and a set of 1737 non-LTE 1D hydrostatic
semi-empirical models, which also provide the radiative losses. The models are
obtained by scaling the temperature and column mass of five initial models VAL
B-F to get the best fit of synthetic to observed profiles. We find that the
deposited acoustic-flux energy in the quiet-Sun chromosphere balances 30-50 %
of the energy released by radiation. In the plage, it contributes by 50-60 % in
locations with vertical magnetic field and 70-90 % in regions where the
magnetic field is inclined more than 50 degrees to the solar surface normal.Comment: 9 pages, 8 figure
IBIS 2.0 Science Description
The Interferometric BIdimensional Spectrometer 2.0 (IBIS 2.0) is a focal plane instrument which will be developed to acquire high cadence spectroscopic and spectropolarimetric images of the solar photosphere and chromosphere. Its previous version, named IBIS, was installed at the focal plane of the Dunn Solar Telescope of the National Solar Observatory in New Mexico (USA). It used two FPI in a classic mount and operated over the range 580 – 860 nm. IBIS 2.0 provides an important opportunity to investigate many open questions regarding the physics of the solar atmosphere, with particular attention to the phenomena visible in the photosphere and chromosphere. Moreover, IBIS 2.0 could represent a first step to develop a new instrument for the next generation telescopes. A brief overview of the project is available in [RD4].
A Science Working Group (SWG) has been charged by the project with the task of identifying the key science goals for the new version of the instrument and defining the corresponding science requirements that are needed to accomplish those goals. This document reports the outcome of such a Science Working Group
Speckle statistics in adaptive optics images at visible wavelengths
Residual speckles in adaptive optics (AO) images represent a well-known
limitation on the achievement of the contrast needed for faint source
detection. Speckles in AO imagery can be the result of either residual
atmospheric aberrations, not corrected by the AO, or slowly evolving
aberrations induced by the optical system. We take advantage of the high
temporal cadence (1 ms) of the data acquired by the System for Coronagraphy
with High-order Adaptive Optics from R to K bands-VIS forerunner experiment at
the Large Binocular Telescope to characterize the AO residual speckles at
visible wavelengths. An accurate knowledge of the speckle pattern and its
dynamics is of paramount importance for the application of methods aimed at
their mitigation. By means of both an automatic identification software and
information theory, we study the main statistical properties of AO residuals
and their dynamics. We therefore provide a speckle characterization that can be
incorporated into numerical simulations to increase their realism and to
optimize the performances of both real-time and postprocessing techniques aimed
at the reduction of the speckle noise
Torsional oscillations within a magnetic pore in the solar photosphere
Alfvén waves have proven to be important in a range of physical systems due to their ability to transport non-thermal energy over long distances in a magnetized plasma. This property is of specific interest in solar physics, where the extreme heating of the atmosphere of the Sun remains unexplained. In an inhomogeneous plasma such as a flux tube in the solar atmosphere, they manifest as incompressible torsional perturbations. However, despite evidence in the upper atmosphere, they have not been directly observed in the photosphere. Here, we report the detection of antiphase incompressible torsional oscillations observed in a magnetic pore in the photosphere by the Interferometric Bidimensional Spectropolarimeter. State-of-the-art numerical simulations suggest that a kink mode is a possible excitation mechanism of these waves. The excitation of torsional waves in photospheric magnetic structures can substantially contribute to the energy transport in the solar atmosphere and the acceleration of the solar wind, especially if such signatures will be ubiquitously detected in even smaller structures with the forthcoming next generation of solar telescopes
The Ionosphere Prediction Service for GNSS Users
Space weather events related to solar activity can affect
both ground and space-based infrastructures, potentially
resulting in failures or service disruptions across the globe
and causing damage to equipment and systems. Global
Navigation Satellite Systems (GNSS) represent one of such
infrastructures that can suffer from electromagnetic
phenomena in the atmosphere, in particular due to the
interaction of the RF signals with the ionosphere.
The Ionosphere Prediction Service (IPS) is a project funded
by European Commission to provide a prototype platform
for a monitoring and prediction service of potential
ionosphere-related disturbances affecting GNSS user
communities. It is designed to help these communities cope
with the effects of the ionospheric activity and mitigate the
impacts of these effects on the specific GNSS-based
application/service.
The IPS development has been conceived of two
concurrent activities: the design and implementation of the
prototype service and the research activity, which
represents the scientific backbone of IPS and is at the base
of all the models and algorithms used for the computation
of the products.
The products are the basic IPS output that translate the
nowcasting or forecasting information from the whole IPS
system down to the final user. They are fine-tuned to match
the different needs of the communities (scientific, aviation,
high accuracy, etc.) which the service is targeted to and to
warn the GNSS users about possible performance
degradations in the presence of anomalous solar and
atmospheric phenomena. To achieve this overarching aim,
four different blocks of products dealing with solar
activity, ionospheric activity, GNSS receiver and system
performance figures have been developed and integrated
into a unique service chain.
The service is available to a set of invited users since July
2018 through a web portal and its provision with all the
necessary operations will last 6 months. The prototype will
be also ported to the Joint Research Centre (JRC). This
phase will be useful to further test the platform, and to
assess whether and how a dedicated prediction service for
International Technical Symposium on Navigation and Timing (ITSNT) 2018
13-16 Nov 2018
ENAC, Toulouse, France
Galileo users is to be implemented as part of the service
facilities of the Galileo infrastructure.Published2A. Fisica dell'alta atmosfera7SR AMBIENTE – Servizi e ricerca per la società N/A or not JC
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