Starts 13 Dec 2021
Ends 17 Dec 2021
Central European Time
Joint ICTP-IAEA Workshop on Atomic Processes in Plasmas: Data-driven Research | (smr 3638)
Online -
Online
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.
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.
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
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.
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
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.
Organizers
Christian Hill (International Atomic Energy Agency (IAEA)), Ludmila Marian (International Atomic Energy Agency (IAEA)), Manuel Bautista (Western Michigan University, USA), Hyun-Kyung Chung (Korea Institute of Fusion Energy (KFE), Republic of Korea), Yuri Ralchenko (National Institute of Standards and Technology (NIST), USA), Udo von Toussaint (Max Planck Institute for Plasma Physics, Garching, Germany), Local Organiser: George Thompson
