4,928 research outputs found

    Undergraduate Catalog of Studies, 2023-2024

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    Graduate Catalog of Studies, 2023-2024

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    The SPARC Toroidal Field Model Coil Program

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    Undergraduate Catalog of Studies, 2023-2024

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    Search for long lived particles decaying into the semi leptonic di-tau final state with the ATLAS detector at the LHC

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    Many theoretical extensions of the Standard Model predict the existence of new long-lived particles that are within the discovery reach of the Large Hadron Collider (LHC). This thesis presents a search for long-lived particles that decay to a pair of tau leptons, one then decaying hadronically and the other leptonically. Tau final states are on the interface between leptonic and hadronic searches and are much less thoroughly constrained. Several approaches are taken to address some of the experimental challenges encountered in the search for displaced hadronic taus. The development of a novel tau track classification algorithm capable of accurately identifying tracks belonging to taus decaying to one or three charged pions is detailed. The resulting displaced track classifier demonstrates significantly higher efficiency compared to the nominal recommendations. Enhancements made to the existing ATLAS track classification algorithm in preparation for Run 3 data taking at the LHC are also outlined. A newly developed RNN-based algorithm for identifying displaced tau leptons is presented in this thesis. When combined with the displaced track classification algorithm, this results in a displaced tau identification procedure that significantly improves background rejection and signal acceptance for displaced taus in a model-independent way. With efficiency gains of classifying 1-prong taus from about 40% to 80% and 3-prong taus from about 20% to 60%. The thesis primarily presents a methodology combining reconstruction and identification techniques which are then folded into an analysis targeting exotic long-lived particles decaying to tau leptons. This signature-driven analysis targets the first stringent limits on long-lived particles decaying to third generation leptons. Major steps in this analysis have been taken and results presented

    Countdown VR: a Serious Game in Virtual Reality to Develop Mental Computation Skills

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    Virtual reality (VR) can be utilized to create video games exploring novel ways to control and interact with the environment. VR can be employed to revisit, extend, and enhance old video games to give them a new lease of life. In this paper, we describe the game Countdown VR in which players must use mental computation to reach a target number. Mental computation is used in everyday life, it is used for quick calculations and estimations. Countdown VR is a serious game designed and implemented using the Learning Mechanics-Game Mechanics framework. We provide an analysis of different approaches for determining the difficulty level of the game based on a number and target to attain and a selection of numbers combined to reach the target. We assess the user's performance and user's experience in the game, with questionnaires to quantify the related workload, usability, flow, motivation, and potential symptoms of users playing the game. The results provide key information related to the relationships between the subjective and objective evaluations of the proposed VR game by players, with a high correlation between VR sickness questionnaires, and moderate correlations between usability and motivation, flow and motivation

    Radar-based millimeter-Wave sensing for accurate 3D Indoor Positioning - Potentials and Challenges

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    The 3D nature of modern smart applications has imposed significant 3D positioning accuracy requirements, especially in indoor environments. However, a major limitation of most existing indoor localization systems is their focus on estimating positions mainly in the horizontal plane, overlooking the crucial vertical dimension. This neglect presents considerable challenges in accurately determining the 3D position of devices such as drones and individuals across multiple floors of a building let alone the cm-level accuracy that might be required in many of these applications. To tackle this issue, millimeter-wave (mmWave) positioning systems have emerged as a promising technology offering high accuracy and robustness even in complex indoor environments. This paper aims to leverage the potential of mmWave radar technology to achieve precise ranging and angling measurements presenting a comprehensive methodology for evaluating the performance of mmWave sensors in terms of measurement precision while demonstrating the 3D positioning accuracy that can be achieved. The main challenges and the respective solutions associated with the use of mmWave sensors for indoor positioning are highlighted, providing valuable insights into their potentials and suitability for practical applications
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