Hunting for reconnection and energy exchange sites in 3D turbulent outflows

Author(s):  
Giovanni Lapenta

<p>Plasma turbulence is typically characterized by a preferred directon, that of teh magnetic field. Most plasmas have a coherent average field component and turbulence develop over it. Tokamaks are teh archetypical case with their strong toroidal field. But also solar arcades, solr wind, magnetospheres and ionospheres have that same property. We consider here turbulence in 3D reconnection outflows. Reconnection often has a gudie field to begin with, but even without it, in the outflow there is a significant field residual from the process of reconnection. This macroscopic field organizes the plasma turbulence to form a very anistotropic state. We recenlty, investigted the properties of turbulence at different locations [1]. We deploy now innovative machine learning tools to investigate the outflows and detect the presence of secondary reconnection sites and regions of energy exchange.</p><p>[1] Lapenta, G., et al. "Local regimes of turbulence in 3D magnetic reconnection." <em>The Astrophysical Journal</em> 888.2 (2020): 104.</p><p>Work supported by the <span>European Union’s Horizon 2020 research and innovation programme under grant agreement No. 776262 (AIDA, www.aida-space.eu).</span></p>

2021 ◽  
Vol 2021 (2) ◽  
pp. 3-9
Author(s):  
I.I. Bilan ◽  

The results of the analysis of European Research and Innovation Framework Program “Horizon 2020” calls, propositions and projects with their main subjects devoted to the problems of advanced materials, perspective technologies of their production and processing are presented in this paper. Analysis had been made on the base of Horizon Dashboard data. Horizon Dashboard is the suitable instrument created under the requirements of the European Commission, which presents an overview of evaluated proposals (incl. success rates) and detailed statistics and data about funded projects and their participants, broken down by countries and regions, research domain/program part, organization type, etc. Furthermore, this instrument allows to analyze country and organization profiles considering 38 thematic priorities (four of them: advanced materials; advanced manufacturing and processing; nanotechnologies, advanced materials and production; biotechnologies are devoted to materials science aspects), funding received, participations by region, top beneficiaries, collaboration with other countries, SME participation and more. Data about total project numbers, funding, top participating countries, top participating organizations had been presented for the each of four materials science priorities. Special attention had been paid on the participation level, funding, and success rates of Ukrainian organizations. Situation with materials science thematic priorities in the new European Research and Innovation Framework Program “Horizon Europe” had been described and it was underlined the absence of separate materials science working program in “Horizon Europe”, and necessity of the analysis of several working programs such as “Digital, Industry, Space”, «Climate, energy, mobility» and etc. for the search of corresponding materials science topics and calls. Status of Ukrainian organizations in “Horizon Europe “program till signing and ratification of agreement between Ukraine and European Union about participation of Ukraine in Horizon Europe Program had been clarified. Keywords: research and innovation European Union Framework Program, “Horizon 2020” program, “Horizon Europe” program, thematic priority, materials science, program pillars, grant agreement.


2021 ◽  
Author(s):  
Manuela Sisti ◽  
Francesco Finelli ◽  
Giorgio Pedrazzi ◽  
Matteo Faganello ◽  
Francesco Califano ◽  
...  

<p>The formation of coherent current structures in turbulent collisionless magnetized plasmas and their disruption through magnetic reconnection has been extensively studied in past years via in situ observations, numerical simulations, and theoretical models. Presently there is no automatic verified way to detect reconnection events so that only an accurate human analysis can be performed. We set-up a machine learning unsupervised technique aimed at automatically detecting the presence of current sheet (CS) magnetic structures where reconnection is occurring. We make use of clustering techniques as KMeans and DBscan, and compare their efficiency to that of simpler methods which do not use machine learning but are only based on thresholds on important physical quantities. The unsupervised machine learning method turns out to be the one with the best performance. We applied these techniques to 2D kinetic HVM (Hybrid Vlasov Maxwell) plasma turbulence simulations, where ions evolve by solving the Vlasov equation while the electrons are treated as a fluid. Electron inertia is included. We are presently working on adapting our techniques to 1D time series extracted from our simulations aiming at reproducing typical data measured by satellites. This work has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 776262 (AIDA, www.aida-space.eu).</p>


2020 ◽  
Author(s):  
Nikolaos Papagiannopoulos ◽  
Vassilis Amiridis ◽  
Aldo Amodeo ◽  
Sara Barsotti ◽  
Giuseppe D'Amico ◽  
...  

<p>Volcanic eruptions have the capacity to significantly impact human life, consequently, tools for mitigating them are of high importance. The early detection of a potentially hazardous volcanic eruption and the issuance of early warnings concerning volcanic hazards (e.g. ash dispersal), are key elements in the initiation of operational response procedures. Historically, lidars have not typically played a key operational role during volcanic eruptions, with other remote sensing instruments such as radars, infrared and ultraviolet cameras being preferred. Recently, a tailored product of the European Aerosol Research Lidar Network (EARLINET) for the early warning of the presence of volcanic ash and desert dust plumes at cruising altitudes has been developed. Here, we extend the applicability of this methodology to lidars and ceilometers near active volcanoes in Iceland and Mt. Etna in Italy. The tailored methodology and selected case studies will be presented, demonstrating its potential for real-time application during volcanic eruptions.</p><p><strong>Acknowledgements</strong>: This work has been conducted within the framework of the E-shape (Grant Agreement n. 820852) and EUNADICS-AV (Grant agreement no. 723986) H2020 projects. Furthermore, the authors acknowledge the ACTRIS-2 and ACTRIS Preparatory Phase projects that have received funding from the European Union’s Horizon 2020 research and innovation programme (grant agreement No. 654109) and from European Union’s Horizon 2020 Coordination and Support Action (grant agreement No. 739530), respectively.</p>


2020 ◽  
Vol 15 (8) ◽  
pp. 203-208
Author(s):  
N. A. Pozhilova

Today, despite the known scale of European Union grant funding in support of research and innovation, the EU Commission seeks to ensure the use of alternative sources of funding, for example, venture capital financing by collective investment enterprises, including through the creation of a pan-European fund of funds, as well as using such mechanisms like crowdfunding. The paper provides an analysis of three possible promising areas of alternative financing using the current mechanisms of the financial market, which are used on an equal basis both in the EU and in other countries, including an analysis of obtaining funding for projects that received grants under the EU Horizon 2020 Framework Program. The first way is to finance scientific projects thanks to new venture funding mechanisms of the European fund VentureEU, the second is to ensure the attraction of funds through crowdfunding (collective financing), the third way is provided by enterprises entering an IPO. The use of alternative methods of financing makes it possible, on the one hand, to ensure the commercialization of research projects that allow research teams to receive additional remuneration and direct it to further work in the field of research, and on the other hand, to draw public attention to pressing problems of science and technology.


2020 ◽  
Vol 208 ◽  
pp. 08025
Author(s):  
Elena Rodionova ◽  
Zhanna Kuzminykh ◽  
Ekaterina Gamova

The authors present the results of their research into the European Union’s innovation policy and the framework programmes for research and innovation as a key tool for ensuring sustainable development in Europe. The study has found that the EU innovation policy has a strong focus on achieving the goals of the economic, social and environmentaldimensions of the sustainable development agenda. Besides, attaining certain innovation indicators itself is a target of sustainable development. The current Horizon 2020Programme and the future Horizon Europe Programme are clearly aligned with the EU’s sustainable development strategic documents. As one of the leaders in the practical implementation of this concept, the European Union is setting standards and directions for further action for other countries and regions while remaining open to cooperative research and projects.


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