Innovative education and training in high power laser plasmas (PowerLaPs) for plasma physics, high power laser matter interactions and high energy density physics: experimental diagnostics and simulations

The second and final year of the Erasmus Plus programme "Innovative Education and Training in high power laser plasmas", otherwise known as PowerLaPs, is described. The PowerLaPs programme employs an innovative paradigm in that it is a multi-centre programme where teaching takes place in five separate institutes with a range of different aims and styles of delivery. The "in class" time is limited to four weeks a year, and the programme spans two years. PowerLaPs aims to train students from across Europe in theoretical, applied, and laboratory skills relevant to the pursuit of research in laser plasma interaction physics and inertial confinement fusion (ICF). Lectures are intermingled with laboratory sessions, and continuous assessment activities. The programme, which is led by workers from the Hellenic Mediterranean University, and supported by co-workers from Queens University Belfast, the University of Bordeaux, the Czech Technical University in Prague, Ecole Polytechnique, the University of Ioannina, the University of Salamanca, and the University of York, has just finished its second and final year. Six Learning Teaching Training (LTT) activities have been held, at the Queens University Belfast, the University of Bordeaux, the Czech Technical University, the University of Salamanca, and the Institute of Plasma Physics and Lasers (CPPL) of the Hellenic Mediterranean University. The last of these institute hosted two two-week long Intensive Programmes (IPs), whilst the activities at the other four universities were each five days in length. In addition to this a "Multiplier Event" was held at the University of Ioannina, which will be briefly described. In this second year the work has concentrated upon training in both experimental diagnostics and simulation techniques appropriate to the study of Plasma Physics, High Power Laser-Matter Interactions and High Energy Density Physics. The nature of the programme will be described in detail and some metrics relating to the activities carried out will be presented. In particular this paper will focus upon the overall assessment of the programme

Innovative Education and Training in high power laser plasmas (PowerLaPs) for plasma physics, high power laser-matter interactions and high energy density physics - Theory and experiments

The Erasmus Plus programme 'Innovative Education and Training in high power laser plasmas', otherwise known as PowerLaPs, is described. The PowerLaPs programme employs an innovative paradigm in that it is a multi-centre programme where teaching takes place in five separate institutes with a range of different aims and styles of delivery. The 'in class' time is limited to four weeks a year, and the programme spans two years. PowerLaPs aims to train students from across Europe in theoretical, applied and laboratory skills relevant to the pursuit of research in laser-plasma interaction physics and inertial confinement fusion (ICF). Lectures are intermingled with laboratory sessions and continuous assessment activities. The programme, which is led by workers from the Technological Educational Institute (TEI) of Crete, and supported by co-workers from the Queen's University Belfast, the University of Bordeaux, the Czech Technical University in Prague, Ecole Polytechnique, the University of Ioannina, the University of Salamanca and the University of York, has just completed its first year. Thus far three Learning Teaching Training (LTT) activities have been held, at the Queen's University Belfast, the University of Bordeaux and the Centre for Plasma Physics and Lasers (CPPL) of TEI Crete. The last of these was a two-week long Intensive Programme (IP), while the activities at the other two universities were each five days in length. Thus far work has concentrated upon training in both theoretical and experimental work in plasma physics, high power laser-matter interactions and high energy density physics. The nature of the programme will be described in detail and some metrics relating to the activities carried out to date will be presented

Pattern Discovery In Time-Oriented Data

We present a data mining system, EasyMiner which has been developed for interactive mining of interesting patterns in time-oriented databases. This system implements a wide spectrum of data mining functions, including generalisation, characterisation, classification, association and relevant analysis. By enhancing several interesting data mining techniques, including attribute induction and association rule mining to handle time-oriented data the system provide a user friendly, interactive data mining environment with good performance. These algorithms were tested on time-oriented medical data and experimental results show that the algorithms are efficient and effective for discovery of pattern in databases. INTRODUCTION Knowledge Discovery in Databases (KDD) is the effort to understand, analyse, and eventually make use of the huge volume of data available. According to Fayyad et al. [1] KDD is the non trivial process of identifying valid, novel, potentially useful, and ultimately und..

Data Mining in Temporal Databases

In this paper we describe our approaches to data mining in temporal databases by introducing Easy Miner, our data mining system developed at UMIST. Easy Miner integrates machine learning methodologies with database technologies and efficiently and effectively extract interesting rules from data. The discovery components of Easy Miner, relevance analysis, classification and association rules finder are presented with the algorithms behind each component. We also show the effectiveness of these algorithms from the experimental results obtained of applying these techniques to time-oriented medical data. 1. INTRODUCTION Knowledge Discovery in Databases (KDD) is the effort to understand, analyse, and eventually make use of the huge volume of data available. According to Fayyad et al. [1] KDD is the non trivial process of identifying valid, novel, potentially useful, and ultimately understandable patterns in data. There are usually many steps in a KDD process including selection, pre-proces..

Data Mining In Temporal Databases

In this paper we describe our approach to data mining in temporal databases by introducing Easy Miner, a data mining system developed at UMIST. This system implements a wide spectrum of data mining functions, including generalisation, relevance analysis, classification and discovery of association rules. By integrating these interesting data mining techniques, the system provides a user friendly and interactive environment with good performance and of course, wide choice of functionalities. These algorithms have been tested on time-oriented medical data and experimental results show that the algorithms are efficient and effective for discovery of previously unknown knowledge in databases. 1. Introduction Data mining is the nontrivial extraction of implicit, previously unknown, and potentially useful information from data [1]. In other words, it is the search for relationships and global patterns that exist in large databases, but are "hidden" among the vast amount of data, such as a ..

Data Mining in Temporal Databases

In this paper we describe our approach to data mining in temporal databases by introducing Easy Miner, a data mining system developed at UMIST. This system implements a wide spectrum of data mining functions, including generalisation, relevance analysis, classification and discovery of association rules. By integrating these interesting data mining techniques, the system provides a user friendly and interactive environment with good performance and of course, wide choice of functionalities. These algorithms have been tested on time-oriented medical data and experimental results show that the algorithms are efficient and effective for discovery of previously unknown knowledge in databases. 1. Introduction Data mining is the nontrivial extraction of implicit, previously unknown, and potentially useful information from data [1]. In other words, it is the search for relationships and global patterns that exist in large databases, but are "hidden" among the vast amount of data, such as a r..

Preliminary investigation on the use of low current pulsed power Z-pinch plasma devices for the study of early stage plasma instabilities

Summarization: This article addresses key features for the implementation of low current pulsed power plasma devices for the study of matter dynamics from the solid to the plasma phase. The renewed interest in such low current plasma devices lies in the need to investigate methods for the mitigation of prompt seeding mechanisms for the generation of plasma instabilities. The low current when driven into thick wires (skin effect mode) allows for the simultaneous existence of all phases of matter from solid to plasma. Such studies are important for the concept of inertial confinement fusion where the mitigation of the instability seeding mechanisms arising from the very early moments within the target's heating is of crucial importance. Similarly, in the magnetized liner inertial fusion concept it is an open question as to how much surface non-uniformity correlates with the magneto-Rayleigh-Taylor instability, which develops during the implosion. This study presents experimental and simulation results, which demonstrate that the use of low current pulsed power devices in conjunction with appropriate diagnostics can be important for studying seeding mechanisms for the imminent generation of plasma instabilities in future research.Παρουσιάστηκε στο: Plasma Physics and Controlled Fusio

Tools for investigating electronic excitation: experiment and multi-scale modelling

This book collects the lectures presented in the first COST TUMIEE Training School held in Greece in 2019, supplemented with specific applications that illustrate how the multi-scale approach is implemented in specific cases of interest. The book is intended both as a reference in the field and as a textbook for people becoming interested or entering the field. The first part focuses on experimental methods, the second on theoretical approaches, and the third on cases of interest