Forward-central two-particle correlations in p-Pb collisions at root s(NN)=5.02 TeV

Two-particle angular correlations between trigger particles in the forward pseudorapidity range (2.5 2GeV/c. (C) 2015 CERN for the benefit of the ALICE Collaboration. Published by Elsevier B. V.Peer reviewe

Event-shape engineering for inclusive spectra and elliptic flow in Pb-Pb collisions at root(NN)-N-S=2.76 TeV

Peer reviewe

Elliptic flow of muons from heavy-flavour hadron decays at forward rapidity in Pb-Pb collisions at root s(NN)=2.76TeV

The elliptic flow, v(2), of muons from heavy-flavour hadron decays at forward rapidity (2.5 <y <4) is measured in Pb-Pb collisions at root s(NN)= 2.76TeVwith the ALICE detector at the LHC. The scalar product, two- and four-particle Q cumulants and Lee-Yang zeros methods are used. The dependence of the v(2) of muons from heavy-flavour hadron decays on the collision centrality, in the range 0-40%, and on transverse momentum, p(T), is studied in the interval 3 <p(T)<10 GeV/c. A positive v(2) is observed with the scalar product and two-particle Q cumulants in semi-central collisions (10-20% and 20-40% centrality classes) for the p(T) interval from 3 to about 5GeV/c with a significance larger than 3 sigma, based on the combination of statistical and systematic uncertainties. The v(2) magnitude tends to decrease towards more central collisions and with increasing pT. It becomes compatible with zero in the interval 6 <p(T)<10 GeV/c. The results are compared to models describing the interaction of heavy quarks and open heavy-flavour hadrons with the high-density medium formed in high-energy heavy-ion collisions. (C) 2015 CERN for the benefit of the ALICE Collaboration. Published by Elsevier B.V.Peer reviewe

Measurement of charged jet production cross sections and nuclear modification in p-Pb collisions at root s(NN)=5.02 TeV

Charged jet production cross sections in p-Pb collisions at root s(NN) = 5.02 TeV measured with the ALICE detector at the LHC are presented. Using the anti-k(T) algorithm, jets have been reconstructed in the central rapidity region from charged particles with resolution parameters R = 0.2 and R = 0.4. The reconstructed jets have been corrected for detector effects and the underlying event background. To calculate the nuclear modification factor, R-pPb, of charged jets in p-Pb collisions, a pp reference was constructed by scaling previously measured charged jet spectra at root s = 7 TeV. In the transverse momentum range 20Peer reviewe

Echtzeit-Positionierung für Fußgänger innerhalb von Gebäuden auf Basis von Smartphone-Sensoren

Knowing the position of an object or person inside buildings would be useful for many fields of application such as pedestrian navigation (e.g. visitor guidance), facility management (e.g. supporting maintenance), disaster management (e.g. localization of rescue teams) or mobile robotics. In outdoor environments, satellite-based positioning systems (Global Navigation Satellite System, GNSS) are typically used for localization purposes. Inside of buildings, the satellite signals are reflected or attenuated by building components (e.g. walls or ceilings), consequently, it is hardly feasible for continuous and reliable indoor positioning. For selected applications, the positioning inside of buildings is already based on various technologies (e.g. WLAN, RFID, ultrasound or UWB), but a standard solution does not exist. Many indoor positioning systems are only suitable for specific applications or can only be used under certain conditions, for example with additional infrastructures and / or sensor technology. The smartphone, a widely used low-cost multi sensor system, appears to be a promising platform for indoor localization for the mass market and is increasingly coming into focus. Today's end devices have a variety of sensors that can be used for indoor positioning with low technical effort. In this work, a real-time indoor pedestrian tracking system based on smartphone sensors is presented which is independent from any additional infrastructure in the basic set up. The idea is to use the sensors embedded in the smartphones to estimate the 2,5D position in real-time with a positional deviation of less than five meters. For this purpose, measurements concerning the barometric altitude estimation are carried out in order to derive the floor on which the user resides. After the floor determination, the 2D position is estimated using the principle of dead reckoning based on the users' movements extracted from the smartphone sensors. In order to minimize the strong error accumulation in the localization caused by various sensor errors, additional information such as building models is integrated into the position estimation. The building model is used to identify permissible (e.g. rooms, passageways) and impermissible (e.g. walls) building areas. For the fusion of different information (linear and nonlinear) a sequential Monte Carlo method is used. In addition to the actual building structure, information from other positioning systems based on e.g. BLE beacons, magnetic anomalies or WLAN access points, is integrated to support or optimize the real-time position estimation respectively