Dispersione di sostanze odorigene nell'atmosfera e modellizzazione mediante software dedicato (un'applicazione del software LAPMOD)

Gli odori rappresentano uno degli elementi di disturbo che la popolazione avverte maggiormente e, anche nel caso in cui non siano associati a sostanze tossiche, sono causa di conflitti e di intolleranza, sia nei confronti delle aziende che li diffondono nel territorio, sia nella scelta del sito di localizzazione di nuovi impianti. La valutazione del disturbo olfattivo e la sua regolamentazione (esistono linee guida, ma non una legislazione di riferimento) rappresentano aspetti caratterizzati da elevata complessit��, dal momento che l���inquinamento olfattivo �� strettamente associato alla percezione umana. Nella tesi vengono valutate le emissioni odorigene e le relative immissioni, dovute ad un comparto per la gestione integrata dei rifiuti. Per caratterizzare le emissioni sono stati prelevati dei campioni di aria presso le principali sorgenti individuate e quantificate utilizzando la tecnica dell���olfattometria dinamica. Una volta caratterizzate le sorgenti, i dati di emissione ottenuti dalla campagna di misura e dall���analisi olfattometrica sono stati utilizzati come dati di input del modello LAPMOD (LAgrangian Particle MODel). LAPMOD �� stato implementato con un modulo specifico per la determinazione delle concentrazioni massime orarie che utilizza un peak-to-mean variabile nel tempo, a differenza di altri modelli che usano un valore costante per la determinazione. Dall'elaborazione dei dati �� emerso che, utilizzando il modulo specifico per gli odori, le concentrazioni come 98�� percentile riferite al giorno tipico hanno un andamento opposto rispetto all���uso di un peak-to-mean costante. Dal confronto della simulazione in cui le emissioni sono indipendenti dalla variazione della portata di odore in funzione della velocit�� del vento, con quella che invece simula tale dipendenza (nelle sorgenti che presentano paratie laterali e tettoia) �� emerso che la simulazione che mitiga completamente l���effetto del vento �� pi�� coerente con la realt��.

Quantitative analysis of pre- and post-operative valvular annulus deformations following valvular insufficiency

Valvular insufficiency is a growingly common valvular heart disease that frequently is associated with regurgitation. Atrioventricular incompetency can lead to overall ventricular and atrial enlargement, volume overload, heart impairment and, if not treated, can culminate in heart failure. With the advances in technology and the increasing interest in devices that have lower post-operative burden on patients, transcatheter mitral and tricuspid valve repair systems are going through a phase of rapid development and growing use. In this work, we aimed to quantitatively assess the morphology of mitral and tricuspid annuli in patients who underwent transcatheter valve repair with MitraClip/TriClip, before and after the intervention, using three-dimensional transoesophageal echocardiography images, in order to evaluate the geometrical changes of the annulus following the intervention. For our purposes, firstly, we implemented a tool for the visualization and navigation of the volumetric data across the cardiac cycle. Then, in order to track the annulus over the cardiac cycle, we extracted five rotational slices from the volume data, selected two initial points on each slice, and tracked these points across the cardiac cycle using KLT algorithm. In a first stage we led a parameters optimization for the tracking method, and we studied the sensitivity of the KLT algorithm to the initialization points, that are manually chosen by the user. In a second stage, we analysed 10 subjects (5 for mitral regurgitation and 5 for tricuspid regurgitation), tracking their annulus before and after valve repairment. In conclusion, we found in all our 10 subjects that immediately after the intervention there is a shortening of the major diameters of the valves, mainly the shortest diameter, due to the clip application, that leads to a reduction of the perimeter and the area of the annulus.

Influence of particle size, density and concentration on bend erosive wear in pneumatic conveyors

Particle concentration is a principal factor that affects erosion rate of solid surfaces under particle impact, such as pipe bends in pneumatic conveyors; it is well known that a reduction in the specific erosion rate occurs under high particle concentrations, a phenomenon referred to as the ���shielding effect���. The cause of shielding is believed to be increased likelihood of inter-particulate collisions, the high collision probability between incoming and rebounding particles reducing the frequency and the severity of particle impacts on the target surface. In this study, the effects of particle concentration on erosion of a mild steel bend surface have been investigated in detail using three different particulate materials on an industrial scale pneumatic conveying test rig. The materials were studied so that two had the same particle density but very different particle size, whereas two had very similar particle size but very different particle density. Experimental results confirm the shielding effect due to high particle concentration and show that the particle density has a far more significant influence than the particle size, on the magnitude of the shielding effect. A new method of correcting for change in erosivity of the particles in repeated handling, to take this factor out of the data, has been established, and appears to be successful. Moreover, a novel empirical model of the shielding effects has been used, in term of erosion resistance which appears to decrease linearly when the particle concentration decreases. With the model it is possible to find the specific erosion rate when the particle concentration tends to zero, and conversely predict how the specific erosion rate changes at finite values of particle concentration; this is critical to enable component life to be predicted from erosion tester results, as the variation of the shielding effect with concentration is different in these two scenarios. In addition a previously unreported phenomenon has been recorded, of a particulate material whose erosivity has steadily increased during repeated impacts.

Study of a new method for high energy top tagging at the ATLAS experiment

Since its discovery, top quark has represented one of the most investigated field in particle physics. The aim of this thesis is the reconstruction of hadronic top with high transverse momentum (boosted) with the Template Overlap Method (TOM). Because of the high energy, the decay products of boosted tops are partially or totally overlapped and thus they are contained in a single large radius jet (fat-jet). TOM compares the internal energy distributions of the candidate fat-jet to a sample of tops obtained by a MC simulation (template). The algorithm is based on the definition of an overlap function, which quantifies the level of agreement between the fat-jet and the template, allowing an efficient discrimination of signal from the background contributions. A working point has been decided in order to obtain a signal efficiency close to 90% and a corresponding background rejection at 70%. TOM performances have been tested on MC samples in the muon channel and compared with the previous methods present in literature. All the methods will be merged in a multivariate analysis to give a global top tagging which will be included in ttbar production differential cross section performed on the data acquired in 2012 at sqrt(s)=8 TeV in high phase space region, where new physics processes could be possible. Due to its peculiarity to increase the pT, the Template Overlap Method will play a crucial role in the next data taking at sqrt(s)=13 TeV, where the almost totality of the tops will be produced at high energy, making the standard reconstruction methods inefficient.

Gyrokinetic modelling of plasma transport and investigation on test particle dynamics

Turbulent plasmas inside tokamaks are modeled and studied using guiding center theory, applied to charged test particles, in a Hamiltonian framework. The equations of motion for the guiding center dynamics, under the conditions of a constant and uniform magnetic field and turbulent electrostatic field are derived by averaging over the fast gyroangle, for the first and second order in the guiding center potential, using invertible changes of coordinates such as Lie transforms. The equations of motion are then made dimensionless, exploiting temporal and spatial periodicities of the model chosen for the electrostatic potential. They are implemented numerically in Python. Fast Fourier Transform and its inverse are used. Improvements to the original Python scripts are made, notably the introduction of a power-law curve fitting to account for anomalous diffusion, the possibility to integrate the equations in two steps to save computational time by removing trapped trajectories, and the implementation of multicolored stroboscopic plots to distinguish between trapped and untrapped guiding centers. The post-processing of the results is made in MATLAB. The values and ranges of the parameters chosen for the simulations are selected based on numerous simulations used as feedback tools. In particular, a recurring value for the threshold to detect trapped trajectories is evidenced. Effects of the Larmor radius, the amplitude of the guiding center potential and the intensity of its second order term are studied by analyzing their diffusive regimes, their stroboscopic plots and the shape of guiding center potentials. The main result is the identification of cases anomalous diffusion depending on the values of the parameters (mostly the Larmor radius). The transitions between diffusive regimes are identified. The presence of highways for the super-diffusive trajectories are unveiled. The influence of the charge on these transitions from diffusive to ballistic behaviors is analyzed.

Analysis of Tracking Algorithms for Extended Target Radar Problems

This work proposes the analysis of tracking algorithms for point objects and extended targets particle filter on a radar application problem. Through simulations, the number of particles, the process and measurement noise of particle filter have been optimized. Four different scenarios have been considered in this work: point object with linear trajectory, point object with non-linear trajectory, extended object with linear trajectory, extended object with non-linear trajectory. The extended target has been modelled as an ellipse parametrized by the minor and major axes, the orientation angle, and the center coordinates (5 parameters overall).