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Fusion M.S.c. Internship | Disruptions Detector

Plasma disruptions pose high risks to the high-performance experimental plasma operations. As a matter of fact, the design of these devices is driven also by the purpose of reducing the causes triggering such events, as much as possible. Therefore, the evaluation of the plasma disruptions effects and their characterization are crucial aspects in the design of the mechanical components and in the mitigation strategies to cope with them. In this context, causes and effects associated with disruptions must be investigated, both from physical and engineering standpoints. The goal of the proposed project is the development of a Disruptions Detector aimed at characterizing abnormal plasma scenarios for specific Tokamak (to be defined) operations. The outcomes of the project will be useful for the construction and population of a Disruptions DataBase (DDB) with the purpose of collecting experimental data to be used as input for the reproduction of these events using MAXFEA evolutionary equilibrium code.

 

 

Objectives-GOALS

  1. Build an understanding of the plasma physics in specific conditions;
  2. Analysis and understanding of experimental data from tokamak operations;
  3. Develop a useful tool procedure to identify a disruption from experimental data;
  4. Carry out an improvement of the classification methodology for disruptions;
  5. Developing an algorithm (MATLAB or Python) for data collection and processing;
  6. Integrate existing procedure with the proposed project;
  7. Perform machine-learning analyses to improve the construction of the database.

Approach / Tools

  • Software and coding languages to be used:
    • MAXFEA, Phyton, MATLAB;
  • Familiarize yourself with the theory behind;
  • Learn the use of MAXFEA and interface with data from real experimental Tokamaks;
  • You will develop a data analysis tool using MATLAB or Phyton.

 

Student Profile/Requirements

  • High motivation and interest in the nuclear fusion research;
  • Experience in Phyton, MATLAB and MAXFEA (optional);
  • Ideally, experience in teamwork;
  • Preferably understanding the basics of electromagnetism, plasma physics and nuclear fusion topics.

Fusion M.S.c. Internship | Disruptions Detector

Position Type
Position Type
Master internship
Host institute type
Host institute type
Academic
Host institute
Host institute
University of Tuscia, Italy
Format
Format
Requires physical presence
Starting Date
Starting Date
As soon as possible
Starting Date
Starting Date
Date for Application Deadline
Date for Application Deadline
Duration of position
Duration of position
12 weeks
Candidate level
Candidate level
Master (in progress)
Master (completed)
Compensation
Compensation
No
Contact person
Contact person
Simone Carusotti & Mattia Scarpari (mattia.scarpari@unitus.it )
Contact person email
Contact person email