Proton Radiography With Timepix Based Time Projection Chambers

The development of a proton radiography system to improve the imaging of patients in proton beam therapy is described. The system comprises gridpix based time projection chambers, which are based on the Timepix chip designed by the Medipix collaboration, for tracking the protons. This type of detector was chosen to have minimal impact on the actual determination of the proton tracks by the tracking detectors. To determine the residual energy of the protons, a BaF2 crystal with a photomultiplier tube is used. We present data taken in a feasibility experiment with phantoms that represent tissue equivalent materials found in the human body. The obtained experimental results show a good agreement with the performed simulations

PROTON RADIOGRAPHY WITH THE PIXEL DETECTOR TIMEPIX

This article presents the processing of radiographic data acquired using the position-sensitive hybrid semiconductor pixel detector Timepix. Measurements were made on thin samples at the medical ion-synchrotron HIT [1] in Heidelberg (Germany) with a 221 MeV proton beam. The charge is energy by the particles crossing the sample is registered for generation of image contrast. Experimental data from the detector were processed for derivation of the energy loss of each proton using calibration matrices. The interaction point of the protons on the detector were determined with subpixel resolution by model fitting of the individual signals in the pixelated matrix. Three methods were used for calculation of these coordinates: Hough transformation, 2D Gaussian fitting and estimate the 2D mean. Parameters of calculation accuracy and calculation time are compared for each method. The final image was created by method with best parameters

R&D Proposal Development of Micro-Pattern Gas Detector Technologies

Development of advanced gas-avalanche detector technologies and associated electronic-readout systems for applications in basic and applied researc

R&D Paths of Pixel Detectors for Vertex Tracking and Radiation Imaging

This report reviews current trends in the R&D of semiconductor pixellated sensors for vertex tracking and radiation imaging. It identifies requirements of future HEP experiments at colliders, needed technological breakthroughs and highlights the relation to radiation detection and imaging applications in other fields of science.Comment: 17 pages, 2 figures, submitted to the European Strategy Preparatory Grou

Ultrafast Radiographic Imaging and Tracking: An overview of instruments, methods, data, and applications

Ultrafast radiographic imaging and tracking (U-RadIT) use state-of-the-art ionizing particle and light sources to experimentally study sub-nanosecond dynamic processes in physics, chemistry, biology, geology, materials science and other fields. These processes, fundamental to nuclear fusion energy, advanced manufacturing, green transportation and others, often involve one mole or more atoms, and thus are challenging to compute by using the first principles of quantum physics or other forward models. One of the central problems in U-RadIT is to optimize information yield through, e.g. high-luminosity X-ray and particle sources, efficient imaging and tracking detectors, novel methods to collect data, and large-bandwidth online and offline data processing, regulated by the underlying physics, statistics, and computing power. We review and highlight recent progress in: a.) Detectors; b.) U-RadIT modalities; c.) Data and algorithms; and d.) Applications. Hardware-centric approaches to U-RadIT optimization are constrained by detector material properties, low signal-to-noise ratio, high cost and long development cycles of critical hardware components such as ASICs. Interpretation of experimental data, including comparisons with forward models, is frequently hindered by sparse measurements, model and measurement uncertainties, and noise. Alternatively, U-RadIT makes increasing use of data science and machine learning algorithms, including experimental implementations of compressed sensing. Machine learning and artificial intelligence approaches, refined by physics and materials information, may also contribute significantly to data interpretation, uncertainty quantification and U-RadIT optimization.Comment: 51 pages, 31 figures; Overview of ultrafast radiographic imaging and tracking as a part of ULITIMA 2023 conference, Mar. 13-16,2023, Menlo Park, CA, US

Characterization of the radiation field in ATLAS using Timepix detectors

Le travail présenté dans cette thèse porte sur le réseau de détecteurs à pixels ATLAS-TPX, installé dans l’expérience ATLAS afin d’étudier l’environement radiatif en utilisant la tech- nologie Timepix. Les travaux sont rapportés en deux parties, d’une part l’analyse des données recueillies entre 2015 et 2018, d’autre part l’étude de nouveaux détecteurs pour une mise à niveau du réseau. Dans la première partie, une méthode pour extraire certaines propriétés des MIPs (Mini- mum Ionizing Particles) est développée, basée sur l’étude des traces laissées par ces particules lorsqu’elles traversent les matrices de pixels des détecteurs ATLAS-TPX. Il est montré que la direction des MIPs et leur perte d’énergie (dE/dX) peut être déterminée, permettant d’évaluer leur origine. De plus, la méthode pour mesurer les champs de neutrons thermiques et neutrons rapides avec ces détecteurs est expliquée, puis appliquée aux données. Les flux de neutrons thermiques mesurés aux différentes positions des détecteurs ATLAS-TPX sont présentés, alors que le signal des neutrons rapides ne se distingue pas du bruit de fond. Ces résultats sont décrits dans une publication, et la façon dont ils peuvent être utilisés pour valider les simulations de champs de radiation dans ATLAS est discutée. Dans la seconde partie, la thèse présente une étude de détecteurs Timepix utilisant l’arséniure de gallium (GaAs) et le tellurure de cadmium (CdTe) comme capteur de radia- tion. Ces semiconducteurs offrent des avantages par rapport au silicium et pourraient être utilisés dans les prochaines mises à niveau du réseau ATLAS-TPX. Comme ils sont connus pour des problèmes d’instabilité dans le temps et une efficacité de collection de charge incomplète, ils sont testés en utilisant divers types d’irradiation. Ceci est décrit dans deux articles, l’un portant sur un capteur au GaAs de 500 μm d’épaisseur, l’autre sur un capteur au CdTe de 1 mm d’épaisseur. Malgré l’apparition de pixels bruyants lors des mesures, les détecteurs montrent une bonne stabilité du signal dans le temps. Par contre, l’efficacité de iv collection de charge est inhomogène à travers la surface des détecteurs, avec des fluctuations de produits mobilité-temps de vie (μτ) importantes. Ces résultats montrent qu’il est nécessaire d’étudier l’influence de ces défauts sur les algorithmes de reconnaissance de traces avant l’utilisation du GaAs et CdTe dans les mises à niveau du réseau ATLAS-TPX.The work presented in this thesis focuses on the ATLAS-TPX pixel detector network, in- stalled in the ATLAS experiment for studying the radiation environement using the Timepix technology. The achievements are presented in two parts, on one hand the analysis of data acquired between 2015 and 2018, on another hand the study of new detectors for an upgrade of the network. In the first part, a method to extract properties of MIPs (Minimum Ionizing Particles) is developed, based on the analysis of clusters left by the interaction of these particles in the pixel matrixes of the ATLAS-TPX detectors. It is shown that the direction of MIPs and their energy loss (dE/dX) can be determined, allowing the evaluation of their origin. Moreover, the method for mesuring the thermal and fast neutron fields is explained, and applied to the data. The thermal neutron fluxes at the different detector locations are reported, whereas the fast neutron signal cannot be distingished from the background. Thoses results are described in a publication, and their use for benchmarking simulations of the radiation field in ATLAS is discussed. In the second part, the thesis presents a study of Timepix detectors equipped with gallium arsenide (GaAs) and cadmium telluride (CdTe) sensors. These semiconductors offer some advantages over silicon and could be used for upgrades of the ATLAS- TPX network. Since they are known to suffer from time instabilities and incomplete charge collection efficiency, they are tested using several types of irradiation. This is described in two publications, one focusing on a 500μm thick GaAs sensor, another focusing on a 1mm thick CdTe sensor. Despite the appearance of noisy pixels during the measurements, the detectors are found to be reasonably stable in time. However, the charge collection efficiency is found to be inhomogeneous across the sensor surfaces, with significant fluctuations of mobility-lifetime (μτ) products. These results show that vi it is necessary to study the influence of these material defects on the pattern recog- nition algorithms before the integration of such sensors in the ATLAS-TPX upgrades

Applications of Medical Physics

Applications of Medical Physics” is a Special Issue of Applied Sciences that has collected original research manuscripts describing cutting-edge physics developments in medicine and their translational applications. Reviews providing updates on the latest progresses in this field are also included. The collection includes a total of 20 contributions by authors from 9 different countries, which cover several areas of medical physics, spanning from radiation therapy, nuclear medicine, radiology, dosimetry, radiation protection, and radiobiology