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La valutazione del settore dell’industria acquaponica in Sicilia. Questionario sviluppato nell’ambito del Progetto “Cellule pur la vie” (“CELAVIE”)
Nell’ambito del progetto CELAVIE - finanziato con i fondi dell’Unione Europea attraverso il
Programma di cooperazione transfrontaliera Italia-Tunisia – è stata avviata un’indagine volta ad
acquisire dati ed informazioni sullo stato dei sistemi di produzione fuori suolo a livello territoriale.
Per il successo dell’indagine, i partner del progetto - CORERAS, CNR, Green Future, Università di
Sfax, AGC, UTAP – hanno ritenuto opportuno sviluppare due distinti questionari e di somministrare
separatamente gli stessi. Si evidenzia che predetta scelta strategica non ha compromesso l’obiettivo
primario dell’indagine riguardante la determinazione del livello di conoscenza complessiva sui
sistemi di acquaponica.
Nel presente rapporto tecnico si riportano le principali evidenze emerse dall’indagine eseguita sul
territorio siciliano
Rare decays with radial detector: A Spherical Proportional Counter (SPC) R&D for the neutrinoless double beta decay search
This proceedings is intended to briefly expose the progress of the R2D2 R&D toward a potential ton-scale experiment for the neutrinoless double beta decay searches. We focus our studies on the energy resolution measurements and on the integration of a light sensor for drift-time measurements
Testing three-body forces in the oxygen region via lifetime measurements
The 20O nucleus represents an interesting case of study. In this nucleus, the spectroscopic properties of the 2+2 and 3+
1 states are influenced by the contribution of three-body forces. Hence, lifetime measurements of these states can
provide meaningful information on the role of three-body forces in this nucleus. An experiment aimed at measuring the lifetime of 2+2 and 3+1 states of 20O using the Doppler Shift Attenuation method was performed at GANIL, using the AGATA array coupled to the MUGAST array and the VAMOS++ spectrometer. The lifetimes of the states were extracted by comparing the experimental data to Monte Carlo simulations. In this paper, the spectroscopic study of the 20O via particle-γ coincidences is presented
Developing novel jet flavour tagging techniques at high transverse momentum for the ATLAS experiment at the LHC
The kinematics of b-hadrons decay and the associated time of flight at high scales of momentum challenge conventional approaches to identify the jets that contain them. In the context of the ATLAS experiment, current identification
algorithms are based on the reconstruction of charged tracks and of secondary decay vertices inside jets. A new experimental technique to identify the flavour of jets at
the TeV scale is presented. I focus on the spatial distribution of clusters of silicon pixels activated by the passage of charged particles in the tracking system near to
the identified jet axis. Exploiting the discriminant power of the patterns that they display could enhance the capability of the algorithms to identify the flavour of jets
at an energy scale interesting for the searches of new physics at the LHC
Perspectives and applications of chiral quantum walks
Continuous-time quantum walks (CTQWs) are quantum systems
undergoing a unitary evolution on discrete structures, in analogy to classical random walks on graphs. They are widely studied in quantum information science to model quantum transport, to design quantum algorithms and as a universal paradigm for quantum computation. Although their definition assumes a real, symmetric generator, their generalization to complex, hermitian generators is possible, and in fact it can be uniquely derived from minimal requests on the correspondence with their classical analogues. This leads to chiral CTQWs, whose peculiarities are related to the concept of Aharonov-Bohm phases. In this article, we review the ideas behind the generalization of CTQWs to chiral quantum walks and the new features possessed by the latter, providing some examples in which the effect of such phases
enhances the performance of these simple, yet powerful quantum models
Machine learning and best fit approach to map lava flows from space
Estimating the areal coverage of newly erupted lava is both a crucial component of volcano monitoring and a powerful tool for characterizing lava flow emplacement behavior. Here, it is presented a methodology based on machine learning, developed in the Google Earth Engine platform, and best fitting approach, to map the extent of lava flows solely using freely available and open-source data from
space-borne instruments. Radar and optical satellite data are used as input to different machine learning techniques and best fitting models, so that the methodology is able to operate in all weather conditions. The satellite-driven approach has been successfully used for mapping lava flows automatically during the long sequence of summit eruptions occurred at Mt. Etna between December 2020 and October 2021
The impact of turbulence on ionospheric plasma density irregularities
Our society is becoming increasingly dependent on Global Navigation Satellite Systems (GNSS), such as the global positioning system (GPS), GLONASS and GALILEO. These systems provide an efficient response to the needs of positioning on our planet and are also used by many infrastructures and applications for timing and synchronization. One of the natural factors that most contribute to the malfunction of these systems, leading to a degradation of their performance, accuracy and reliability, is represented by the ionospheric irregularities, i.e., plasma density variations that may affect the electromagnetic signals propagating through them. By using data recorded onboard the ESA’s Swarm constellation, the possible dependence of the loss of lock of GPS signals on a specific typology of ionospheric
irregularities is assessed. It is shown that ionospheric irregularities characterized by a turbulent nature and extremely high-density fluctuations can lead to malfunctions
of GNSS, thus paving the way for new prediction approaches of their adverse effects
GALTRACE: A highly segmented silicon detector array for charged particle spectroscopy and discrimination
GALTRACE is an array of segmented silicon detectors specifically built to work as an ancillary of the GALILEO γ-ray spectrometer at Legnaro National Laboratory of INFN. GALTRACE consists of four telescopic ΔE-E detectors which allow discriminating light charged particles also via pulse-shape analysis techniques. The good angular and energy resolutions, together with particle discrimination capabilities, make GALTRACE suitable for experiments where coincidences with specific emitted particles allow for the selection of reaction channels with very low cross section. The first in-beam experiment is reported here, aiming at
identifying a narrow resonance, near-proton-threshold state in 11B, currently under discussion
Simulating V +jets processes at ATLAS
The production of a vector boson in association with hadronic jets is one of the most frequent background processes for precision measurements and new physics searches carried out in proton-proton collision at the LHC. One common issue for these analyses comes from the limited amount of events which is possible to produce with a fixed computing budget. Different methods have been investigated
to optimise the statistical power of the simulated samples via phase-space biasing during the Monte Carlo event generation. Recent developments from the ATLAS Collaboration are presented
Role of 6Li non-sphericity in nuclear reactions below the Coulomb barrier
We investigate the impact of the 6Li ground-state deformation on Coulomb-barrier penetrability in nuclear reactions between 6Li and a structureless projectile. The 6Li ground state is described through a quantum di-cluster model, including a quadrupolar component which induces a tensor term in the projectiletarget interaction. The corresponding ground-state form factor, for each possible
6Li orientation, is employed as a potential barrier in a Wentzel-Kramers-BrillouinJeffreys (WKB) radial penetrability calculation. The formalism was applied to the
6Li–p scattering. Throughout the sub-Coulomb energy range, we find no significant influence of the tensor interaction on the overall penetrability