B. Ristic - Technische Universität Dortmund, Fakultät Physik, Dortmund, Germany

B. Ristic
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Name
B. Ristic
Affiliation
Technische Universität Dortmund, Fakultät Physik, Dortmund, Germany
City
Dortmund
Country
Germany

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High Energy Physics - Experiment (7)
 
Physics - Instrumentation and Detectors (7)
 
Statistics - Applications (2)
 
Physics - Physics and Society (1)
 
Computer Science - Computer Vision and Pattern Recognition (1)
 
Quantitative Biology - Quantitative Methods (1)
 
Computer Science - Artificial Intelligence (1)
 
Statistics - Computation (1)
 
Computer Science - Robotics (1)
 
Quantitative Biology - Neurons and Cognition (1)

Publications Authored By B. Ristic

2017May
Affiliations: 1Institut de Física d'Altes Energies, Barcelona, Spain, 2Institut de Física d'Altes Energies, Barcelona, Spain, 3Institut de Física d'Altes Energies, Barcelona, Spain, 4Département de Physique Nucléaire et Corpusculaire, University of Geneva, Geneva, Switzerland, 5Institut de Física d'Altes Energies, Barcelona, Spain, 6Institut de Física d'Altes Energies, Barcelona, Spain, 7Karlsruher Institut für Technologie, Karlsruhe, Germany, 8Institut de Física d'Altes Energies, Barcelona, Spain, 9Département de Physique Nucléaire et Corpusculaire, University of Geneva, Geneva, Switzerland, 10Département de Physique Nucléaire et Corpusculaire, University of Geneva, Geneva, Switzerland, 11University of Liverpool, Liverpool, United Kingdom

An upgrade of the ATLAS experiment for the High Luminosity phase of LHC is planned for 2024 and foresees the replacement of the present Inner Detector (ID) with a new Inner Tracker (ITk) completely made of silicon devices. Depleted active pixel sensors built with the High Voltage CMOS (HV-CMOS) technology are investigated as an option to cover large areas in the outermost layers of the pixel detector and are especially interesting for the development of monolithic devices which will reduce the production costs and the material budget with respect to the present hybrid assemblies. For this purpose the H35DEMO, a large area HV-CMOS demonstrator chip, was designed by KIT, IFAE and University of Liverpool, and produced in AMS 350 nm CMOS technology. Read More

HV-CMOS pixel sensors are a promising option for the tracker upgrade of the ATLAS experiment at the LHC, as well as for other future tracking applications in which large areas are to be instrumented with radiation-tolerant silicon pixel sensors. We present results of testbeam characterisations of the $4^{\mathrm{th}}$ generation of Capacitively Coupled Pixel Detectors (CCPDv4) produced with the ams H18 HV-CMOS process that have been irradiated with different particles (reactor neutrons and 18 MeV protons) to fluences between $1\cdot 10^{14}$ and $5\cdot 10^{15}$ 1-MeV-n$_\textrm{eq}$/cm$^2$. The sensors were glued to ATLAS FE-I4 pixel readout chips and measured at the CERN SPS H8 beamline using the FE-I4 beam telescope. Read More

A testbeam telescope, based on ATLAS IBL silicon pixel modules, has been built. It comprises six planes of planar silicon sensors with 250 x 50 um^2 pitch, read out by ATLAS FE-I4 chips. In the CERN SPS H8 beamline (180 GeV pi+) a resolution of better than 8 x 12 um^2 at the position of the device under test was achieved. Read More

High Voltage CMOS sensors are a promising technology for tracking detectors in collider experiments. Extensive R&D studies are being carried out by the ATLAS Collaboration for a possible use of HV-CMOS in the High Luminosity LHC upgrade of the Inner Tracker detector. CaRIBOu (Control and Readout Itk BOard) is a modular test system developed to test Silicon based detectors. Read More

Active pixel sensors based on the High-Voltage CMOS technology are being investigated as a viable option for the future pixel tracker of the ATLAS experiment at the High-Luminosity LHC. This paper reports on the testbeam measurements performed at the H8 beamline of the CERN Super Proton Synchrotron on a High-Voltage CMOS sensor prototype produced in 180 nm AMS technology. Results in terms of tracking efficiency and timing performance, for different threshold and bias conditions, are shown. Read More

This overview paper describes the particle methods developed for the implementation of the a class of Bayes filters formulated using the random finite set formalism. It is primarily intended for the readership already familiar with the particle methods in the context of the standard Bayes filter. The focus in on the Bernoulli particle filter, the probability hypothesis density (PHD) particle filter and the generalised labelled multi-Bernoulli (GLMB) particle filter. Read More

Deep sub micron HV-CMOS processes offer the opportunity for sensors built by industry standard techniques while being HV tolerant, making them good candidates for drift-based, fast collecting, thus radiation-hard pixel detectors. For the upgrade of the ATLAS Pixel Detector towards the HL-LHC requirements, active pixel sensors in HV-CMOS technology were investigated. These implement amplifier and discriminator stages directly in insulating deep n-wells, which also act as collecting electrodes. Read More

Using the measurements collected at a number of known locations by a moving binary sensor, characterised by an unknown threshold, the problem is to estimate the parameters of a biochemical source, continuously releasing material into the atmosphere. The solution is formulated in the Bayesian framework using a dispersion model of Poisson distributed particle encounters in a turbulent flow. The method is implemented using the importance sampling technique and successfully validated with three experimental datasets under different wind conditions. Read More

During the long shutdown (LS) 3 beginning 2022 the LHC will be upgraded for higher luminosities pushing the limits especially for the inner tracking detectors of the LHC experiments. In order to cope with the increased particle rate and radiation levels the ATLAS Inner Detector will be completely replaced by a purely silicon based one. Novel sensors based on HV-CMOS processes prove to be good candidates in terms of spatial resolution and radiation hardness. Read More

The paper derives the theoretical Cramer-Rao lower bound for parameter estimation of a source (of emitting energy, gas, aerosol), monitored by a network of sensors providing binary measurements. The theoretical bound is studied in the context of a source of a continuous release in the atmosphere of hazardous gas or aerosol. Numerical results show a good agreement with the empirical errors, obtained using an MCMC parameter estimation technique. Read More

Localisation of a source of a toxic release of biochemical aerosols in the atmosphere is a problem of great importance for public safety. Two main practical difficulties are encountered in this problem: the lack of knowledge of the likelihood function of measurements collected by biochemical sensors, and the plethora of candidate dispersion models, developed under various assumptions (e.g. Read More

The paper presents an approach to olfactory search for a diffusive emitting source of tracer (e.g. aerosol, gas) in an environment with unknown map of randomly placed and shaped obstacles. Read More

The paper evaluates the error performance of three random finite set based multi-object trackers in the context of pedestrian video tracking. The evaluation is carried out using a publicly available video dataset of 4500 frames (town centre street) for which the ground truth is available. The input to all pedestrian tracking algorithms is an identical set of head and body detections, obtained using the Histogram of Oriented Gradients (HOG) detector. Read More

2012Apr
Affiliations: 1II. Physikalisches Institut, Georg-August-Universität Göttingen, Germany, 2Technische Universität Dortmund, Fakultät Physik, Dortmund, Germany, 3Max-Planck-Institut für Physik, München, Germany, 4CERN, Genève, Switzerland, 5Laboratoire de Physique Nucleaire et de Hautes Énergies, 6Laboratoire de Physique Nucleaire et de Hautes Énergies, 7CERN, Genève, Switzerland, 8II. Physikalisches Institut, Georg-August-Universität Göttingen, Germany, 9CERN, Genève, Switzerland, 10Institut de Física d'Altes Energies, 11Division of elementary particle physics - Institute of Physics of the Academy of Sciences of the Czech Republic, Prague, Czech Republic, 12CERN, Genève, Switzerland, 13Tokyo Institute Of Technology, Tokyo, Japan, 14Tokyo Institute Of Technology, Tokyo, Japan, 15Section de Physique, 16Deutsches Elektronen-Synchrotron, 17Max-Planck-Institut für Physik, München, Germany, 18Laboratoire de Physique Nucleaire et de Hautes Énergies, 19CERN, Genève, Switzerland, 20Tokyo Institute Of Technology, Tokyo, Japan, 21CERN, Genève, Switzerland, 22Technische Universität Dortmund, Fakultät Physik, Dortmund, Germany, 23Deutsches Elektronen-Synchrotron, 24Technische Universität Dortmund, Fakultät Physik, Dortmund, Germany, 25High Energy Accelerator Research Organization, Tsukuba, Japan, 26Technische Universität Dortmund, Fakultät Physik, Dortmund, Germany, 27Institut de Física d'Altes Energies, 28The University of Liverpool, Liverpool, United Kingdom, 29High Energy Accelerator Research Organization, Tsukuba, Japan, 30Max-Planck-Institut für Physik, München, Germany, 31Technische Universität Dortmund, Fakultät Physik, Dortmund, Germany

Results of beam tests with planar silicon pixel sensors aimed towards the ATLAS Insertable B-Layer and High Luminosity LHC (HL-LHC) upgrades are presented. Measurements include spatial resolution, charge collection performance and charge sharing between neighbouring cells as a function of track incidence angle for different bulk materials. Measurements of n-in-n pixel sensors are presented as a function of fluence for different irradiations. Read More

The problem of environmental monitoring using a wireless network of chemical sensors with a limited energy supply is considered. Since the conventional chemical sensors in active mode consume vast amounts of energy, an optimisation problem arises in the context of a balance between the energy consumption and the detection capabilities of such a network. A protocol based on "dynamic sensor collaboration" is employed: in the absence of any pollutant, majority of sensors are in the sleep (passive) mode; a sensor is invoked (activated) by wake-up messages from its neighbors only when more information is required. Read More

The paper presents an algorithm for syndromic surveillance of an epidemic outbreak formulated in the context of stochastic nonlinear filtering. The dynamics of the epidemic is modeled using a generalized compartmental epidemiological model with inhomogeneous mixing. The syndromic (typically non-medical) observations of the number of infected people (e. Read More