Abstract
The present work is focused on the characterization of a
Timepix3 (TPX3) based test system for the identification of
particles produced by the complex decay chain of
222
Rn. The
detector ...used is composed of a pixelated Cadmium Telluride (CdTe)
semiconductor (500 μm thick) bump-bonded on an ASIC TPX3
chip. Measurements were carried out at the NIXT Laboratory (ENEA
Frascati) using radioactive sources and exploiting the presence of
natural radon gas by collecting its decay products on the sensor
surface. Estimation of the radon gas risk is one of the most
important problems in radiation protection and has stimulated
further development of new advanced methods suitable for detecting
this gas in confined environments. A study of the spatial uniformity
and high energy calibration is also presented and an improved
cluster analysis is introduced. The performance highlighted in this
study will allow a detailed and faster analysis of the radon
products and may have an important impact on the environmental
radioprotection applications. This paper describes the application
and use of this test system to identify the different decay
signatures and follow the temporal evolution of the Radon decay
chain.
To explore intraindividual (between-meals) and interindividual (between-subjects) variability of postprandial glucose response (PGR) in type 1 diabetes (T1DM).
Data were taken from five cross-over ...trials in 61 subjects with T1DM on insulin pump wherein the effects of different dietary components or the intraindividual-variability of PGR to the same meal were evaluated by CGM. Predictors (type of meal or nutrient composition) of early (iAUC0-3h), late (iAUC3-6h), total (iAUC0-6h), and time-course of postprandial blood glucose changes (iAUC3-6hminus0-3h) were evaluated using two mixed-effect linear regression models considering the patient’s identification number as random-effect.
High-glycemic-index (HGI) and low-glycemic-index meals were the best positive and negative predictors of glucose iAUC0-3h, respectively. A Low-Fat-HGI meal significantly predicted iAUC3-6hminus0-3h (Estimate 3268; p = 0.017). Among nutrients, dietary fiber was the only significant negative predictor of iAUC0-3h (Estimate −550; p < 0.001) and iAUC0-6h (Estimate −742; p = 0.01) and positive predictor of iAUC3-6hminus0-3h (Estimate 336; p = 0.043). For all models, the random-effect patient was statistically significant (p < 0.001 by ANOVA).
Beyond the meal characteristics (including glycemic index, fat and fiber content), individual traits significantly influence PGR. Specific interindividual factors should be further identified to properly predict glucose response to meals with different composition in individuals with T1DM.
The particular physics of Laser Produced Plasmas (LPP) needs some diagnostic requirements. Specifically, the X-ray monitoring of the plasma is known to be difficult since typically X-ray emissions ...are concentrated in bursts from a few tens of ps to few ns, based on the power and pulse time width of the laser. Therefore, the energy measurement of the radiation coming from a single experimental run is basically unfeasible using conventional techniques. Additional particles can be produced from LPP experiments, especially high energy gamma photons and electrons. As a case study in recent experiments, carried out on VEGA-2 laser facility (CLPU, Salamanca, Spain), the aim was to produce neutrons through photonuclear reactions on different types of solid targets. We have used the Timepix3 chip, in a “side-on” configuration, in order to produce a quick estimate of the gamma photons energy involved in the reactions. This detector, based on silicon, is realized with a single chip of 256 × 256 pixels bump-bonded with a 14 mm × 14 mm × 300 μm silicon layer. Interaction of gammas with the detector in this configuration produces some characteristic clusters of pixels and, for each cluster, a variety of physical and morphological parameters can be defined. Based on some of these parameters, we have characterized the detector response using some known laboratory gamma sources and the related Geant4 simulations. This allows quick energy discrimination for the gamma photons coming from different experimental runs.
This paper introduces a novel architecture for optimizing radiation shielding using a genetic algorithm with dynamic penalties and a custom parallel computing architecture. A practical example ...focuses on minimizing the Total Ionizing Dose for a silicon slab, considering only the layer number and the total thickness (additional constraints, e.g., cost and density, can be easily added). Genetic algorithm coupled with Geant4 simulations in a custom parallel computing architecture demonstrates convergence for the Total Ionizing Dose values. To address genetic algorithm issues (premature convergence, not perfectly fitted search parameters), a Total Ionizing Dose Database Vault object was introduced to enhance search speed (data persistence) and to preserve all solutions’ details independently. The Total Ionizing Dose Database Vault analysis highlights boron carbide as the best material for the first layer for neutron shielding and high-Z material (e.g., Tungsten) for the last layers to stop secondary gammas. A validation point between Geant4 and MCNP was conducted for specific simulation conditions. The advantages of the custom parallel computing architecture introduced here, are discussed in terms of resilience, scalability, autonomy, flexibility, and efficiency, with the benefit of saving computational time. The proposed genetic algorithm-based approach optimizes radiation shielding materials and configurations efficiently benefiting space exploration, medical devices, nuclear facilities, radioactive sources, and radiogenic devices.
Characterization and calibration measurements of two Cherenkov probes have been performed in ENEA Frascati's laboratories. Different kinds of radiation have been used, from visible light to x-rays, ...in order to evaluate possible spurious responses of the probes. Moreover, a preliminary calibration is presented, as well as a first evaluation of the minimum single probe's detectable flux performed through an electron beam of 2.3 MeV. Additional results have been obtained thanks to spectrometry analysis, which gave deeper insights of the phenomena occurring inside the probes. In particular, a continuous emission spectrum, associated to cathodoluminescence, has been observed to dominate in the Cherenkov range, showing that scintillating phenomena are not negligible in this kind of probes. Results on non-thermal electron losses from recent FTU experimental campaigns are also presented. The signals acquired are compared to those from other diagnostics like x-rays, neutron and gamma detectors or plasma magnetic activity, showing good correlation between them. The analysis focuses on the capability and sensitivity of the probes to measure runaway electrons losses with energy discrimination in presence of perturbations due to kinetic and magnetic reconnection phenomena.
Thermal neutron detection plays a crucial role in numerous scientific and technical applications such as nuclear reactor physics, particle accelerators, radiotherapy, materials analysis and space ...exploration. There are several challenges associated with the accurate identification and quantification of thermal neutrons. The present work proposes a detailed characterization of a Timepix3 (TPX3) detector equipped with a Lithium Fluoride (
6
LiF) converter in order to study its response to thermal neutrons that are identified through the
6
Li(n,
α
)
3
H reaction. The TPX3-based test system has been installed at the HOTNES facility in ENEA and the analysis highlighted its excellent performance showing high effectiveness in the identification of neutrons through morphological analysis of tracks produced by alpha and triton particles, after accurate discrimination from the gamma background. With the use of Monte Carlo simulations, it has been demonstrated that the main contribution is due to tritons and its signal can be used effectively in the identification of thermal neutrons obtaining an efficiency of 0.9 % for 25 meV neutrons. This allows the TPX3 to have important applications as an environmental monitor for thermal neutrons. This monitoring system can be simply realized and is easy to manage because of its compact size and its digital acquisition that allows a real-time analysis.
A tangential X-ray pinhole camera based on a gas electron multiplier (GEM) detector was installed on KSTAR to study high temperature plasmas emitting X-ray photons in the energy band of 4–15 keV. The ...camera system consists of a triple-GEM gas chamber with a readout printed circuit board and a pinhole to image the plasma in two dimensions (2-D). The advantages of this tangential camera system include its compactness, high efficiency, energy discrimination in bands, and selectivity of the photon energy range etc. This camera system allows a selection of the viewing area through a remote control of the entire setup. The Philips-Tikhonov algorithm for tangential reconstruction was used to visualize the poloidal cross-sectional images. Phantom tests were performed with synthetic D-shaped plasma images and a comparison with the magnetic equilibrium flux surfaces from the real-time EFIT code obtaining a good agreement between each other. The 2-D X-ray images of the KSTAR plasma were successfully acquired during sawtooth crash, electron cyclotron heating, vertical displacement event, and emissivity from the injected trace Ar impurity.
•Compact movable imaging diagnostic system based on gas electron multiplier X-ray detector.•Tangential reconstruction of X-ray emission from toroidal fusion plasma.•Various 2-D X-ray images of the KSTAR plasma.
The present observational study has the aim to describe the nutritional habits and adherence to Mediterranean diet within a dietary intervention performed by North Naples 2 Local Health Unit in some ...areas of Campania region.
A semi-quantitative food frequency questionnaire which takes in consideration several kinds of food and the related daily or weekly portions has been administered to people evaluated in the study. An increased score reflects an increased adherence to Mediterranean diet. Patients have been grouped by age, body mass index, education, socio-economic level, income, and score reported to the administered survey. Nutritional intervention has also been evaluated as concerns weight reduction during time.
Surveys were administered to 200 patients aged from 12 to 79 years from 21 November 2018 to 27 November 2019. Obese patients were 61.5% in this population. 67.7% of obese people participating to this study had primary/lower secondary school education. 61.5% of study population have been categorized as having a low or low-medium socio-economic level and 68% of them were obese. An intermediate adherence to Mediterranean Diet has been the most represented (76.5%), a significant difference has been found among the groups normal weight, overweight and obese for the variables age, education and income. Obese patients in the present study had metabolic diseases more frequently than normal-weight patients.
A high rate of obese people requesting nutritional counseling showed intermediate/bad adherence to Mediterranean Diet, reflecting the diffuse change from Mediterranean Diet to Western habits in nutrition. The nutritional intervention was found to be effective, especially for overweight patients. These data underline the need for further larger epidemiological analysis and public health interventions.
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