Observation of diffraction and measurement of the forward energy flow with the CMS detector

The observation of inclusive diffraction with the CMS detector at the LHC is presented for centre-of-mass energies \sqrt s = 0.9 TeV and 2.36 TeV. Diffractive events are selected by the presence of a Large Rapidity Gap in the forward region of the CMS detector and uncorrected data are compared with Monte Carlo simulations based on the event generators PYTHIA and PHOJET. The measurement of the forward energy flow, in the pseudorapidity region 3.15 < |\eta| < 4.9, is also presented at \sqrt s = 0.9 TeV, 2.36 TeV and 7 TeV. Uncorrected data are compared with Monte Carlo simulations based on PYTHIA.Comment: 4 pages - 2 figures - proceedings of Physics at LHC 2010, 7-12 June 2010, DESY, Hambur

Recurrence rates and hitting-time distributions for random walks on the line

We consider random walks on the line given by a sequence of independent identically distributed jumps belonging to the strict domain of attraction of a stable distribution, and first determine the almost sure exponential divergence rate, as r goes to zero, of the return time to (-r,r). We then refine this result by establishing a limit theorem for the hitting-time distributions of (x-r,x+r) with arbitrary real x.Comment: Published in at http://dx.doi.org/10.1214/11-AOP698 the Annals of Probability (http://www.imstat.org/aop/) by the Institute of Mathematical Statistics (http://www.imstat.org

How stochasticity and emergencies disrupt the surgical schedule

In health care system, the operating theatre is recognized as having an important role, notably in terms of generated income and cost. Its management, and in particular its scheduling, is thus a critical activity, and has been the sub ject of many studies. However, the stochasticity of the operating theatre environment is rarely considered while it has considerable effect on the actual working of a surgical unit. In practice, the planners keep a safety margin, let’s say 15% of the capacity, in order to absorb the effect of unpredictable events. However, this safety margin is most often chosen sub jectively, from experience. In this paper, our goal is to rationalize this process. We want to give insights to managers in order to deal with the stochasticity of their environment, at a tactical–strategic decision level. For this, we propose an analytical approach that takes account of the stochastic operating times as well as the disruptions caused by emergency arrivals. From our model, various performance measures can be computed: the emergency disruption rate, the waiting time for an emergency, the distribution of the working time, the probability of overtime, the average overtime, etc. In particular, our tool is able to tell how many operations can be scheduled per day in order to keep the overtime limited.health care, surgical schedule, emergencies, Markov chain.

Integration of NEMO into an existing particle physics environment through virtualization

With the ever-growing amount of data collected with the experiments at the Large Hadron Collider (LHC) (Evans et al., 2008), the need for computing resources that can handle the analysis of this data is also rapidly increasing. This increase will even be amplified after upgrading to the High Luminosity LHC (Apollinari et al., 2017). High-Performance Computing (HPC) and other cluster computing resources provided by universities can be useful supplements to the resources dedicated to the experiment as part of the Worldwide LHC Computing Grid (WLCG) (Eck et al., 2005) for data analysis and production of simulated event samples. Computing resources in the WLCG are structured in four layers – so-called Tiers. The first layer comprises two Tier-0 computing centres located at CERN in Geneva, Switzerland and at the Wigner Research Centre for Physics in Budapest, Hungary. The second layer consists of thirteen Tier-1 centres, followed by 160 Tier-2 sites, which are typically universities and other scientific institutes. The final layer are Tier-3 sites which are directly used by local users. The University of Freiburg is operating a combined Tier-2/Tier-3, the ATLAS-BFG (Backofen et al., 2006). The shared HPC cluster »NEMO« at the University of Freiburg has been made available to local ATLAS (Aad et al., 2008) users through the provisioning of virtual machines incorporating the ATLAS software environment analogously to the bare metal system at the Tier-3. In addition to the provisioning of the virtual environment, the on-demand integration of these resources into the Tier-3 scheduler in a dynamic way is described. In order to provide the external NEMO resources to the user in a transparent way, an intermediate layer connecting the two batch systems is put into place. This resource scheduler monitors requirements on the user-facing system and requests resources on the backend-system

CASTLE4D: AN ARCHAEOLOGICAL INFORMATION SYSTEM BASED ON 3D POINT CLOUDS

[EN] During the past decade, the implementation of 3D visualization and Geographic Information System (GIS) in archaeological research has increased and is now well established. However, the combination of these two factors remains rather complicated when faced with archaeological data. Some of the characteristics of this discipline impose the development of applications that will be able to cope with all of the specificities of archaeological data. Our research aims to create an Archaeological Information System (AIS) that will gather all of the characteristics of an archaeological work. In order to develop such an AIS, our first step was to identify its purposes and consequently, the features that should be available to the users. As it is destined to help with archaeological research, it is therefore of the outmost importance that the particularities of such a study are also taken into account. Moreover, the AIS is intended to incorporate point clouds that serve as a base for the three-dimensional model. These 3D point clouds result from the use of photogrammetry and/or lasergrammetry and, at a later stage, will be inserted into a GIS similar structure. The archaeological data will then be linked to the relevant section of the 3D model. However, these various stages and during the development of the AIS itself, we will encounter a series of issues that require to be addressed in order to produce a working system. This paper aims to identify and define the AIS characteristics as well as the issues and obstacles that we are going to face so that this system becomes a functional tool for archaeological research.Luczfalvy Jancsó, A.; Jonlet, B.; Hallot, P.; Poux, F.; Hoffsummer, P.; Billen, R. (2016). CASTLE4D: AN ARCHAEOLOGICAL INFORMATION SYSTEM BASED ON 3D POINT CLOUDS. En 8th International congress on archaeology, computer graphics, cultural heritage and innovation. Editorial Universitat Politècnica de València. 247-253. https://doi.org/10.4995/arqueologica8.2015.4210OCS24725

Dynamic Virtualized Deployment of Particle Physics Environments on a High Performance Computing Cluster

The NEMO High Performance Computing Cluster at the University of Freiburg has been made available to researchers of the ATLAS and CMS experiments. Users access the cluster from external machines connected to the World-wide LHC Computing Grid (WLCG). This paper describes how the full software environment of the WLCG is provided in a virtual machine image. The interplay between the schedulers for NEMO and for the external clusters is coordinated through the ROCED service. A cloud computing infrastructure is deployed at NEMO to orchestrate the simultaneous usage by bare metal and virtualized jobs. Through the setup, resources are provided to users in a transparent, automatized, and on-demand way. The performance of the virtualized environment has been evaluated for particle physics applications

Birefringent quartz micro cylinders for angular optical tweezers

International audienc

Continuous Activation of Autoreactive CD4+ CD25+ Regulatory T Cells in the Steady State

Despite a growing interest in CD4+ CD25+ regulatory T cells (Treg) that play a major role in self-tolerance and immunoregulation, fundamental parameters of the biology and homeostasis of these cells are poorly known. Here, we show that this population is composed of two Treg subsets that have distinct phenotypes and homeostasis in normal unmanipulated mice. In the steady state, some Treg remain quiescent and have a long lifespan, in the order of months, whereas the other Treg are dividing extensively and express multiple activation markers. After adoptive transfer, tissue-specific Treg rapidly divide and expand preferentially in lymph nodes draining their target self-antigens. These results reveal the existence of a cycling Treg subset composed of autoreactive Treg that are continuously activated by tissue self-antigens

Usages multiples d'un nuage de points 3D : le château de Franchimont (Province de Liège, Belgique)

peer reviewedThis paper presents the identified obstacles, needs and selected solutions for the study of the medieval castle of Franchimont, located in the province of Liège (Belgium). After taking into account the requirements from all the disciplines at work as well as the problems that would have to be tackled, the creation of a 3D point cloud was decided. This solution would be able to deal with the characteristics and needs of a research involving building archaeology and related fields. The decision was made in order to manage all of the available data and to provide a common working tool for every involved cultural heritage actor. To achieve this, the elaboration of an Archaeological Information System based on 3D point clouds as a common virtual workspace is being taken into consideration