8 research outputs found

    The Extreme Energy Events HECR array: status and perspectives

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    The Extreme Energy Events Project is a synchronous sparse array of 52 tracking detectors for studying High Energy Cosmic Rays (HECR) and Cosmic Rays-related phenomena. The observatory is also meant to address Long Distance Correlation (LDC) phenomena: the network is deployed over a broad area covering 10 degrees in latitude and 11 in longitude. An overview of a set of preliminary results is given, extending from the study of local muon flux dependance on solar activity to the investigation of the upward-going component of muon flux traversing the EEE stations; from the search for anisotropies at the sub-TeV scale to the hints for observations of km-scale Extensive Air Shower (EAS).Comment: XXV ECRS 2016 Proceedings - eConf C16-09-04.

    Supplementing ice core time series at a small scale Alpine glacier with a 3D full stokes ice flow model using Elmer/Ice

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    The cold glacier saddle Colle Gnifetti (CG) is the unique drilling site in the European Alps offering ice core records substantially exceeding the instrumental period. In spite of an ice thickness not much exceeding 100 m, CG provides long-term ice core records due to its low net accumulation and rapid layer thinning. However, net accumulation at CG is characterised by strong spatio-temporal variability causing depositional noise and, combined with a complex flow regime, upstream-effects. These intricate glaciological settings hamper the full exploitation of the unique potential for long-term ice core records of this site. Here we present first results from developing a new model attempt, i.e. full stokes with consideration of firn rheology, specifically tailored to the complex CG settings, and utilizing the 3D finite element model Elmer/Ice in combination with existing CG ice core as well as geophysical data. A major objective is to map source trajectories of existing ice core sites in order to evaluate potential upstream effects. Since dating the CG ice cores becomes a challenge already after the last 100 years or so, an additional focus is to assist in finding a reliable age scale, especially targeting depths where annual layers can no more be counted. This includes the calculation of isochronous surfaces for intercomparison of different drilling sites within the CG multi core array. A considerable amount of empirical data has been collected at CG over the last few decades, allowing the model to be established on a solid empirical base. Some of these quantities are used as model input, other of them for validation. Among the input quantities we have a wide range of density and temperature profiles, an over the time surveyed surface topography and a GPR based bedrock topography. Nevertheless especially the measured bedrock topography is not precise enough and limits the model accuracy. Besides that, an important limitation arises also from other not directly measurable model parameters, like the mechanical stress on the glacier boundaries. In order to better constrain them, the input quantities are therefore iteratively tuned such that the measured quantities are reconstructed as good as possible. Here we present first results concerning the reconstruction of some insufficient known model parameters – e.g. the bedrock topography – and concerning the model validation based on comparison with empirical data, i.e. the measured surface velocities and net snow accumulation. Next steps in refining the model are concerned with obtaining better constrained model parameters and boundary conditions comparing the model results with ice core derived data like e.g. the observed layer thinning or the measured vertical age distribution. Another important step is to couple the here presented mechanical model with a thermodynamical one

    Human recombinat alfa-enolase antibodies in celiac disease and in other auto-immune diseases

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    8nonenoneBaldas V; Edomi P; Cortini A; Ziberna F; Azzoni E; Liciulli M; Ferrara F; Not TBaldas, V; Edomi, Paolo; Cortini, A; Ziberna, F; Azzoni, E; Liciulli, M; Ferrara, F; Not, Tarcisi

    SiPM optical modules for the Schwarzschild-Couder Medium Size Telescopes proposed for the CTA observatory

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    Silicon Photomultipliers (SiPMs) are excellent devices to detect the faint and short Cherenkov light emitted in high energy atmospheric showers, and therefore suitable for use in imaging air Cherenkov Telescopes. The high density Near Ultraviolet Violet SiPMs (NUV-HD3) produced by Fondazione Bruno Kessler (FBK) in collaboration with INFN were used to equip optical modules for a possible upgrade of the Schwarzschild-Couder Telescope camera prototype, in the framework of the Cherenkov Telescope Array project. SiPMs are 6Ă—6 mm2 devices based on 40Ă—40 ÎĽm2 microcells optimized for photo-detection at the NUV wavelengths. More than 40 optical modules, each composed by a 4Ă—4 array of SiPMs, were assembled. In this contribution we report on the development and on the assembly of the optical modules, their validation and integration in the camera

    SiPM optical modules for the Schwarzschild-Couder Medium Size Telescopes proposed for the CTA observatory

    No full text
    Silicon Photomultipliers (SiPMs) are excellent devices to detect the faint and short Cherenkov light emitted in high energy atmospheric showers, and therefore suitable for use in imaging air Cherenkov Telescopes. The high density Near Ultraviolet Violet SiPMs (NUV-HD3) produced by Fondazione Bruno Kessler (FBK) in collaboration with INFN were used to equip optical modules for a possible upgrade of the Schwarzschild-Couder Telescope camera prototype, in the framework of the Cherenkov Telescope Array project. SiPMs are 6Ă—6 mm2 devices based on 40Ă—40 ÎĽm2 microcells optimized for photo-detection at the NUV wavelengths. More than 40 optical modules, each composed by a 4Ă—4 array of SiPMs, were assembled. In this contribution we report on the development and on the assembly of the optical modules, their validation and integration in the camera

    The EEE Project: a sparse array of telescopes for the measurement of cosmic ray muons

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    The Extreme Energy Events (EEE) Project is meant to be the most extensive experiment to detect secondary cosmic particles in Italy. To this aim, more than 50 telescopes have been built at CERN and installed in high schools distributed all over the Italian territory. Each EEE telescope comprises three large area Multigap Resistive Plate Chambers (MRPCs) and is capable of reconstructing the trajectories of the charged particles traversing it with a good angular resolution. The excellent performance of the EEE telescopes allows a large variety of studies, from measuring the local muon flux in a single telescope, to detecting extensive air showers producing time correlations in the same metropolitan area, to searching for large-scale correlations between showers detected in telescopes tens, hundreds or thousands of kilometers apart. In addition to its scientific goal, the EEE Project also has an educational and outreach objective, its aim being to motivate young people by involving them directly in a real experiment. High school students and teachers are involved in the construction, testing and start-up of the EEE telescope in their school, then in its maintenance and data-acquisition, and later in the analysis of the data. During the last couple of years a great boost has been given to the EEE Project through the organization of simultaneous and centralized data taking with the whole telescope array. The raw data from all telescopes are transferred to CNAF (Bologna), where they are reconstructed and stored. The data are currently being analyzed, looking at various topics: variation of the rate of cosmic muons with time, upward going muons, muon lifetime, search for anisotropies in the muon angular distribution and for time coincidences between stations. In this paper an overall description of the experiment is given, including the design, construction and performance of the telescopes. The operation of the whole array is also presented by showing the most recent physics results
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