Highly Automated Dipole EStimation (HADES)

Automatic estimation of current dipoles from biomagnetic data is still a problematic task. This is due not only to the ill-posedness of the inverse problem but also to two intrinsic difficulties introduced by the dipolar model: the unknown number of sources and the nonlinear relationship between the source locations and the data. Recently, we have developed a new Bayesian approach, particle filtering, based on dynamical tracking of the dipole constellation. Contrary to many dipole-based methods, particle filtering does not assume stationarity of the source configuration: the number of dipoles and their positions are estimated and updated dynamically during the course of the MEG sequence. We have now developed a Matlab-based graphical user interface, which allows nonexpert users to do automatic dipole estimation from MEG data with particle filtering. In the present paper, we describe the main features of the software and show the analysis of both a synthetic data set and an experimental dataset

Chapter Statistical Approaches to the Inverse Problem

Communications engineering / telecommunication

Statistical Approaches to the Inverse Problem

Communications engineering / telecommunication

Dynamic filtering of static dipoles in magnetoencephalography

We consider the problem of estimating neural activity from measurements of the magnetic fields recorded by magnetoencephalography. We exploit the temporal structure of the problem and model the neural current as a collection of evolving current dipoles, which appear and disappear, but whose locations are constant throughout their lifetime. This fully reflects the physiological interpretation of the model. In order to conduct inference under this proposed model, it was necessary to develop an algorithm based around state-of-the-art sequential Monte Carlo methods employing carefully designed importance distributions. Previous work employed a bootstrap filter and an artificial dynamic structure where dipoles performed a random walk in space, yielding nonphysical artefacts in the reconstructions; such artefacts are not observed when using the proposed model. The algorithm is validated with simulated data, in which it provided an average localisation error which is approximately half that of the bootstrap filter. An application to complex real data derived from a somatosensory experiment is presented. Assessment of model fit via marginal likelihood showed a clear preference for the proposed model and the associated reconstructions show better localisation

Magnetoencephalography

This is a practical book on MEG that covers a wide range of topics. The book begins with a series of reviews on the use of MEG for clinical applications, the study of cognitive functions in various diseases, and one chapter focusing specifically on studies of memory with MEG. There are sections with chapters that describe source localization issues, the use of beamformers and dipole source methods, as well as phase-based analyses, and a step-by-step guide to using dipoles for epilepsy spike analyses. The book ends with a section describing new innovations in MEG systems, namely an on-line real-time MEG data acquisition system, novel applications for MEG research, and a proposal for a helium re-circulation system. With such breadth of topics, there will be a chapter that is of interest to every MEG researcher or clinician

GSI Scientific Report 2016

PLEASE GO TO FILES TO SELECT YOUR DOWNLOAD SECTION. Lience: https://creativecommons.org/licenses/by/4.0

Development, Characterization, and Analysis of Silicon Microstrip Detector Modules for the CBM Silicon Tracking System

The future Facility for Antiproton and Ion Research (FAIR) at GSI, Germany, will enable scientists to create tiny droplets of cosmic matter in the laboratory—matter subject to extreme conditions usually found in the interior of stars or during stellar collisions. The Compressed Baryonic Matter (CBM) experiment at FAIR aims to explore the quantum chromodynamics (QCD) phase diagram at high densities and moderate temperatures. By colliding heavy ions at relativistic beam energies, the conditions inside these supermassive objects can be recreated for an exceptionally short amount of time. The CBM detector is a fixed-target multi-purpose detector designed for measuring hadrons, electrons and muons in elementary nucleon and heavy-ion collisions over the full FAIR beam energy range delivered by the SIS100 synchrotron. One of the core detectors of CBM is the Silicon Tracking System (STS), responsible for measuring the momentum and tracks of up to 700 charged particles produced in a central nucleus-nucleus collisions. Due to the required momentum resolution, the material budget of the STS must be minimized. Therefore, the readout electronics and the cooling and mechanical infrastructure are placed out of the detector acceptance. The double-sided silicon microstrip sensors are connected to the self-triggering frontend electronics using low-mass flexible microcables with a length of up to 50 cm. The main goal of this thesis was to develop a high-density interconnection technology based on copper microcables. We developed a low-mass double-layered copper microcable at the edge of modern fabrication technology. Based on the copper microcable, we developed a novel high-density interconnection technology, comprising fine-grain solder paste printing on the microcable and gold stud bumping on the die. The gold stud--solder technology combines a high automation capability with good mechanical and electrical properties, making it an interesting technology also for future detector systems. Building on the gold stud--solder technology, a fully customized bonder machine was developed and constructed in hardware and software. Its main purpose is the realization of the challenging interconnection between the microcable and the sensor. Key components of the machine are four step motors with a sub-micron step resolution, a dual-camera pattern recognition system, a heatable, temperature-controlled bond head and sensor plate, as well as tailor-made mechanical supports for the STS detector modules. With the help of this bonder machine, a full-scale STS detector module in the copper technology was built. The noise performance of the copper module was evaluated in a bias voltage scan. Very low noise levels were observed. Measurements of the absolute value of the signal with a radioactive source allowed us to estimate the signal-to-noise ratio of the module. The results of these measurements give us confidence that STS modules based on the copper technology can achieve a satisfying performance comparable to the modules built in the aluminium technology. Another essential component of the STS detector module is the frontend electronics chip. During this work, the version 2.1 of the STS-XYTER readout ASIC was extensively characterized. Noise discrepancies between odd and even channels and increasingly higher noise towards the higher channel numbers had been observed in the predecessor chip. Our measurements of the STS-XYTER2.1 verified that both issues were successfully resolved. Furthermore, the noise behavior of the ASIC with respect to input load capacitance was studied. This is essential to parametrize expected noise levels for the many kinds of detector modules employed in the STS, to which the measured noise levels can then be compared. Measurements of the noise levels as a function of shaping time showed that the overall noise level is practically independent of shaper peaking time. Radiation tests with 50 MeV protons were performed with copper microcables connected to the ASIC in a non-powered state. No indications of damage to the chip and interconnects could be observed. Finally, a complete STS detector module in aluminium technology was subjected to a pencil-like monochromatic beam of 2.7 GeV/c protons at the Cooling Synchrotron at the research center Jülich. Several essential performance criteria of the detector module were evaluated. The best coincidence between the STS and the reference fiber hodoscopes was established based on time information. An excellent time resolution of a few nanoseconds could be demonstrated. Based on the best coincidence, the spatial resolution of the full system was determined to be a few hundred microns. This is in line with expectations, as the resolution is limited by the fiber hodoscope resolution. Charge distributions of 1-strip clusters showed a clear separation between the noise and the proton signal peak, with a signal-to-noise ratio above 20 for the p-- and n-side. The charge collection efficiency of the module was estimated to be $96 \%$. The COSY beamtime enabled a first-time evaluation of the full analysis software chain with real data and the evaluation of the full electronic readout chain of STS. The experience gained at COSY is immensely helpful for commissioning and data analysis in more complex beam environments such as mCBM, where a subsample of the CBM detectors is exposed to the particles created in a heavy-ion collision in run-time scenarios closely resembling the final CBM environment