Scientific Calendar Event



Description
An ICTP-IAEA Virtual Meeting

This School will assist Ph.D. students and other early-stage career researchers to develop their skills and understanding in the application of modern data science techniques to the calculation and evaluation of data relevant to the physics and behaviour of plasmas.
 
The properties of laboratory, industrial, astrophysical and fusion energy plasmas are determined by numerous atomic and molecular processes. Modelling such plasmas requires a large amount of data concerning its collisions, spectroscopic properties and plasma-material interactions, not all of which is directly accessible by experiment. Plasma physicists therefore turn to calculations and approximations to complete their data needs.
The last 10 years have seen a huge increase in the amount of computing power available to run the codes that calculate these data. Accompanying this expansion has been the development of so-called data science techniques which unify statistical methods, data analysis and machine learning.
This School will provide training for and knowledge-transfer between scientists working in the fields of computational plasma physics and data science. Participants are expected to have some experience with basic programming in a language such as Python.

More details are available at IAEA web site: https://amdis.iaea.org/workshops/ictp-2021b
 
Topics:
  • Plasma emission modelling
  • Practical exercises using FLYCHK and the NIST LIBS database
  • The principles of Molecular Dynamics modelling
  • Bayesian Inference for the determination of plasma-material interaction parameters
  • Demonstration and practical exercises using LAMMPS
  • Accessing, assessing and exploiting online data resources
  • Managing atomic and molecular data
  • Linux command line usage; Using Python and the JupyterLab environment for research
Speakers:
M. BAUTISTA, Western Michigan University, USA
M.-L. DUBERNET, Paris Observatory - PSL, France
C. HILL, IAEA, Austria
L. MARIAN, IAEA, Austria
Y. RALCHENKO, National Institute of Standards and Technology (NIST), USA
E. STAMBULCHIK, Weizmann Institute of Science, Israel
U. VON TOUSSAINT, Max Planck Institute for Plasma Physics, Germany

Registration: There is no registration fee.

During the application process the applicants will be requested to upload poster abstracts in PDF format. Please make sure you use our templates to generate such PDFs. Templates are available below for download.

Go to day
  • Monday, 13 December 2021
    • 14:00 - 17:00
      • 14:00 Opening, welcome and introductions; administrative details 30'
        Speaker: Christian HILL (IAEA, Vienna)
      • 14:30 Computing practicals: remote connection details and technical briefing 30'
        Speaker: Christian HILL (IAEA, Vienna)
      • 15:00 Using the Linux shell and Jupyter Notebook 1h0'
        Speaker: Ludmila MARIAN (IAEA, Vienna)
      • 16:00 Plasma Emission Modelling 1h0'
        Speaker: Yuri RALCHENKO (National Institute of Standards and Technology, USA)
  • Tuesday, 14 December 2021
    • 14:00 - 17:00
      • 14:00 Practical exercises with the NIST atomic databases and the NIST LIBS database 2h0'
        Speaker: Yuri RALCHENKO (National Institute of Standards and Technology, USA)
      • 16:00 Photoionization modeling of astronomical plasmas 1h0'
        Speaker: Manuel BAUTISTA (Western Michigan University, USA)
        Material: Abstract
  • Wednesday, 15 December 2021
    • 14:00 - 17:00
      • 14:00 Improving NMF result confidence in spectrum analysis using deep learning 30'
        Speaker: Nathaniel SAURA (Aix-Marseille University, France)
        Material: Abstract
      • 14:30 Posters and Contributed Talks 1h30'
        Material: Booklet selected posters
      • 16:00 Theory of Bayesian determination of parameters for plasma-material interaction 1h0'
        Speaker: Udo VON TOUSSAINT (Max Planck Institute for Plasma Physics, Garching, Germany)
  • Thursday, 16 December 2021
    • 14:00 - 17:10
      • 14:00 Demonstration and Practical exercises using LAMMPS for the Bayesian determination of PMI parameters from experimental data 1h30'
        Speaker: Udo VON TOUSSAINT (Max Planck Institute for Plasma Physics, Germany)
      • 15:30 Group photo & Break 5'
      • 15:35 Demonstration and Practical exercises using LAMMPS for the Bayesian determination of PMI parameters from experimental data 1h25'
        Speaker: Udo VON TOUSSAINT (Max Planck Institute for Plasma Physics, Germany)
  • Friday, 17 December 2021
    • 14:00 - 17:00
      • 14:00 Introduction to plasma line broadening with hands-on exercises using online tools and databases 1h0'
        Speaker: Evgeny STAMBULCHIK (Weizmann Institute of Science, Israel)
      • 15:00 The Virtual Atomic and Molecular Data Centre (VAMDC) and software infrastructure 1h0'
        Speakers: Marie-Lise DUBERNET (Paris Observatory - PSL, France), Christian HILL (IAEA, Austria), Guy RIXON (Institute of Astronomy, University of Cambridge, UK)
      • 16:00 Question and Answer session; Workshop conclusion 1h0'
        Speaker: Christian HILL (IAEA, Vienna)