Search for dark matter produced in association with bottom or top quarks in √s = 13 TeV pp collisions with the ATLAS detector

A search for weakly interacting massive particle dark matter produced in association with bottom or top quarks is presented. Final states containing third-generation quarks and miss- ing transverse momentum are considered. The analysis uses 36.1 fb−1 of proton–proton collision data recorded by the ATLAS experiment at √s = 13 TeV in 2015 and 2016. No significant excess of events above the estimated backgrounds is observed. The results are in- terpreted in the framework of simplified models of spin-0 dark-matter mediators. For colour- neutral spin-0 mediators produced in association with top quarks and decaying into a pair of dark-matter particles, mediator masses below 50 GeV are excluded assuming a dark-matter candidate mass of 1 GeV and unitary couplings. For scalar and pseudoscalar mediators produced in association with bottom quarks, the search sets limits on the production cross- section of 300 times the predicted rate for mediators with masses between 10 and 50 GeV and assuming a dark-matter mass of 1 GeV and unitary coupling. Constraints on colour- charged scalar simplified models are also presented. Assuming a dark-matter particle mass of 35 GeV, mediator particles with mass below 1.1 TeV are excluded for couplings yielding a dark-matter relic density consistent with measurements

Development and benefit analysis of a sector design algorithm for terminal dynamic airspace configuration

The National Airspace System (NAS) is the vast network of systems enabling safe and efficient air travel in the United States. It consists of a set of static sectors, each controlled by one or more air traffic controllers. Air traffic control is tasked with ensuring that all flights can depart and arrive on time and in a safe and efficient matter. However, skyrocketing demand will only increase the stress on an already inefficient system, causing massive delays. The current, static configuration of the NAS cannot possibly handle the future demand on the system safely and efficiently, especially since it is projected to triple by 2025. To overcome these issues, the Next Generation of Air Transportation System (NextGen) is being enacted to increase the flexibility of the NAS. A major objective of NextGen is to implement Adaptable Dynamic Airspace Configuration (ADAC) which will dynamically allocate the sectors to best fit the traffic in the area. Dynamically allocating sectors will allow resources such as controllers to be better distributed to meet traffic demands. Currently, most DAC research has involved the en route airspace. This leaves the terminal airspace, which accounts for a large amount of the overall NAS complexity, in need of work. Using a combination of methods used in en route sectorization, this thesis has developed an algorithm for the dynamic allocation of sectors in the terminal airspace. This algorithm will be evaluated using metrics common in the evaluation of dynamic density, which is adapted for the unique challenges of the terminal airspace, and used to measure workload on air traffic controllers. These metrics give a better view of the controller workload than the number of aircraft alone. By comparing the test results with sectors currently used in the NAS using real traffic data, the algorithm xv generated sectors can be quantitatively evaluated for improvement of the current sectorizations. This will be accomplished by testing the performance of the algorithm generated sectors to the current sectors for a variety of configurations and scenarios, and comparing these results to those of the current sectors. The effect of dynamic airspace configurations will then be tested by observing the effects of update rate on the algorithm generated sector results. Finally, the algorithm will be used with simulated data, whose evaluation would show the ability of the sector design algorithm to meet the objectives of the NextGen system. Upon validation, the algorithm may be successfully incorporated into a larger Terminal Flow Algorithm, developed by our partners at Mosaic ATM, as the final step in the TDAC process

Vers l'unification des architectures embarquées de systèmes de transport intelligents appliquée aux transports publics

Cette thèse s'inscrit dans une démarche Européenne de recherche sous l'égide du projet European Bus System of the Futur (EBSF). Ce projet vise à définir le bus de demain et de préparer son architecture embarquée, aux systèmes de transport intelligents (STI) critiques ou de divertissement, de plus en plus présents dans les véhicules. Les systèmes autrefois hétérogènes et autonomes, devrons à l'avenir communiquer sur une architecture orientée service (SOA) unique. L'objectif est d'optimiser le fonctionnement de l'architecture dans son ensemble grâce à des protocoles de communication ouverts et standards. C'est à partir de cette base, à laquelle nous avons activement apportée notre contribution, que notre thèse s'appuie. Le dimensionnement et la validation de ces architectures sont restés des éléments sans réponse à la suite du projet EBSF. Cette thèse présente premièrement une méthode dimensionnement des architectures STI basée sur les méthodes de décision multi-critères. Nous nous basons sur une étude poussée des besoins opérationnels collectés tout au long de la thèse. Dans un deuxième temps, nous adaptons le modèle de Criticité Mixte, définit dans le domaine du temps réel, aux flux de communication entre le véhicule et l'infrastructure. Enfin nous présentons les travaux réalisés dans le cadre de la standardisation européenne afin de promouvoir ce type d'architecture et les travaux de cette thèseIntelligent Transportation systems (ITS) are massively used in the Public Transport sector since the Two decades. This profusion of systems on-board and off-board vehicles generates inter-operability issues. The growth of urban zones and the increase of public transport attractiveness, brought multi-modal constraints that are today limited due to a lack of architecture vision embracing all ITS. This thesis proposes to unify the architecture vision of on-board ITS. We based our technical architecture on the Service Oriented Architecture (SOA) proposed in the European Bus System of the Future (EBSF) project, in which this thesis actively contributed. We study first the global requirements of different transportation modes operated in Europe. Those requirements are a basis to the definition of technical constraints of a global architecture. Those constraints are ranked in terms of importance using a proposed method based on Multi-Criteria Decision Making (MCDM) techniques. The method that we propose permits to size the technical architecture. We then study the flow management of data, considering the context of operation of vehicles and the criticality of ITS applications. We propose to adapt the Real-time Mixed-Criticality model to communication systems on-board the vehicles. We apply this method on a communication gateway of a bus, through its journey. Finally we present the work done at the standardization level (CEN) in order promote the global architecture vision presented in the thesi

Application of mixed-criticality scheduling model to intelligent transportation systems architectures

International audienc

Investigation and sensitivity analysis of a mechanistic phytoplankton model implemented in a new modular numerical tool (Eco3M) dedicated to biogeochemical modelling

A new class of phytoplankton models with a mechanistic basis has been presented in a companion paper (Baklouti, M., Diaz, F., Pinazo, C., Faure, V., Queguiner, B., 2006. Investigation of mechanistic formulations depicting phytoplankton dynamics for models of marine pelagic ecosystems. Progress in Oceanography). It is the default class of models implemented in our new numerical tool Eco3M, which is dedicated to Ecological, Mechanistic and Modular Modelling. A brief overview of its main features is given in Section 2 of the present paper. In the next sections, a particular phytoplankton model among the aforementioned class has been tested with special emphasis on the mechanistic photosynthesis component relating the photosynthetic rate to the proportion of open photosystems II. The present study encompasses several essential steps that are inherent to any modelling, including model reduction, model sensitivity analysis and comparison of model outputs with experiments. The global sensitivity analysis of the plankton model for one-at-a-time parameter perturbations revealed a restricted set of parameters having major influence on the model outputs. Sensitivity tests involving simultaneous parameter perturbations within the range actually encountered in the literature provided a confidence interval for the outputs. Chemostat experiments performed on nitrate-limited diatoms grown under low (LL) and high-light (HL) conditions have been used for comparison with model outputs. The good fit between measured data and model outputs using the same parameter values in both the LL and HL cases demonstrates the ability of our model to represent the main features of phytoplankton dynamics including photoacclimation. Finally, Eco3M is ultimately intended to include explicit bacterial and zooplankton compartments, as well as to be coupled with ocean circulation models, but the intrinsic behavior of the phytoplankton model has been investigated first, independently of physical forcing. (C) 2006 Elsevier Ltd. All rights reserved

Smoothing of renewable energy generation using Gaussian-based method with power constraints

International audienceIntegration of renewable energy resources to a power system can cause power fluctuations due to their intermittent nature. One way to reduce these effects is to smooth power production using energy storage systems (ESS). A typical approach to tackle the intermittency problem is to use ESS with traditional moving average method. Although it is easy to implement, the moving average method is affected by peaks and troughs during power generations which results in bigger battery sizes. In this paper, we propose a Gaussian-based smoothing algorithm that solves the pitfalls of the moving average methods. Besides smoothing, in big solar plants and wind farms such as in La Réunion island, the grid operator asks energy providers to provide power with a minimum difference from one time to another. We add this constraint on top of the smoothing problem. Then, we determine a minimum possible size of ESS so that the smoothed output power is maintained during the day-ahead forecast period. To test our approach, we use a day-ahead forecast and real data of an industrial site located in France. Bench-marking the moving average methods, we compare performances of the proposed algorithm using two metrics. Based on our simulation results, we obtained at least 34% improvement in smoothness measure and at least 19% reduced ESS size by using the proposed algorithm

Modelling of Distributed Energy Resources in Industrial Context Using Service Curves of Network Calculus

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Work in progress: Analytic hierarchy process applied to JPEG2000 video streaming over Wireless Multimedia Sensor Networks

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