Data Compilation and Evaluation at National Fusion Research Institute (NFRI)

Transcription

1 Data Center for Plasma Properties Data Compilation and Evaluation at National Fusion Research Institute (NFRI) Jung-Sik YOON and DCPP Members CM on Data Evaluation and the Establishment of a Standard Library of A+M+PMI Data for Fusion, Wed-Fri June 2012; IAEA, Vienna

2 National Fusion Research Institute is unique national institute dedicated to conducting research and development of fusion energy Purpose Technology development for construction of Korean fusion reactors and commercialization of fusion energy as a world leader in fusion energy research and development Vision Becoming a world-leading institute in fusion research active in resolving energy sustenance and climate change issues

3 Developed by Korean Technology from Developed Concept by Design Korean to Technology Construction from Concept Design to Construction National Fusion Research Institute KSTAR : Korea Superconducting Tokamak Advanced Research Comparison Comparison of of Performance Roadmap for for KSTAR Tests Type Initial Plasma 4 th Campaign Type Type Initial Initial (2008) Plasma Plasma Second Second Campaign (2011) Plasma Plasma Plasma electric electric electric current current current 133, ,000 amperes amperes ka 320, ,000 amperes amperes 600 ka (max. 1MA) Plasma duration 0.25 sec. 3.6 sec. Plasma duration sec. sec 3.6 sec. 5 sec Magnetic field intensity 1.5 Tesla 3.0 (max. Tesla 12.4 sec) Magnetic field intensity 1.5 Tesla 3.0 Tesla

4 National Fusion Research Institute Data Center for Plasma Properties

5 Data Center for Plasma Properties (A+M/PMI Data) 7 Theoretician, 5 Experimentalist and 2 IT people A+M Data research for development(simulation), evaluation and dissemination International collaboration using APAN platform

6 Data Center for Plasma Properties (A+M/PMI Data)

7 Requirement : We (University, Industry ) need Database We need all information about A+M Data We need good USER INTERFACE

8 Outsourcing : Q&IT Collection Classify Input Check DB upload deliver Direct search Keyword search 1 st Classify Classify Table Classification Classify Table Num. data input biblio. data input classification information input by human DB upload process management Result Check error report Table Check Classification Check Dual input/ check Eye Check Error table Eye Check Error table error analysis System Check Num. data biblio. data classification data Num. data biblio. data classification data Final Product

9 Requirement : Outsourcing : Q&IT We (University, Industry ) need Database We need all information about A+M Data Classify Input Check We need good USER INTERFACE Collection DB upload deliver Direct search Keyword search 1 st Classify Classify Table Classification Classify Table Num. data input biblio. data input classification information input by human DB upload process management Result Check error report Table Check Classification Check Dual input/ check Eye Check Error table Eye Check Error table error analysis System Check Num. data biblio. data classification data Num. data biblio. data classification data Final Product

10 Free Korean language A&M data Plasma simulator Information for industry A&M Data : - Free Simulator : - Login

11

12 Requirement : We (University, Industry ) need Data (NEW) Need Data for Simulation and Engineering

13 ELECS-1 for total cross section measurements with CNU, ANU

14 Dissociation cross section measurements Electron Gun System Vacuum Gauge Collision Chamber Quadrupole Mass Spectrometer Detector

15 Asia-Pacific Atomic data Network The anticipated role of the APAN will be to Conduct and promote the measurement and calculation of atomic data of Relevance to applications in discharge and plasma physics, materials and biomedical science Provide a mechanism for the efficient compilation, assessment, and critical evaluation of atomic and molecular data Provide a link between researchers in A+M Physics and potential end-users of data

16 from Prof. H. Tanaka (Sophia Univ.), 2008

17 Requirement : General user = engineer, students, different field scientists not A&M physicist (Data Producer) They can not decide!!!

18 Rate Coefficient (cm 3 /s) Same Cross Section, but different coefficient Reaction rate coefficient for e+sih ~ 10-2 cm 3 4 SiH e /s (from article A) ~ 10-9 cm 3 /s (from article B) ~ cm 3 /s (from article C) e + CF 2 CF + +F+2e Reaction rate coefficient from Tarnovsky (cross section) e + CF 2 F + +CF+2e Solid line : DCPP Dashed line : Ho, Chemkin Te (ev) P. Ho, J. E. Johannes, and R. J. Buss, and E. Meeks, J. Vac. Sci. Technol. A 19(5), 2344 (2001). V. Tarnovsky, P. Kurunczi, D. Rogozhinikov, and K. Becker, Int. J. Mass Spectrom. Ion Processes 128, 181 (1993).

19 Atomic and Molecular Data compilation and Evaluation Process for Plasma Processing Gas Cross Section Benchmark using Reference Cell

20 Data Evaluation : Following the classical way Atomic and Molecular Physics Society Collection of data without quality judgment is not useful only BETTER data should replace existing ones Quality judgment (=critical evaluation) of data is crucial for users Evaluation must be done by scientists with appropriate experience Critical evaluation requires a wide network of competent and dedicated scientists This is the most expensive part of maintaining a database Three data evaluation principles How well is the data generation described How do the data follow the known physical laws How do the data compare to other measurements or calculations of the same phenomena

21 Data Evaluation with Prof. Itikawa, Prof. Cho, Prof. Kumar 1 Cross sections for electron collisions with hydrogen molecules Journal of Physical and Chemical Reference Data, 37 (2), 913 (2008) 2 Elastic cross sections for electron collisions with molecules relevant to plasma processing Journal of Physical and Chemical Reference Data, 39 (3), 913 (2010) 3 Electron-impact cross sections for deuterated hydrogen and deuterium molecules Report on Progress in Physics, 73, (2010)

22 Cross sections for electron collisions with hydrogen molecules (with Prof. Itikawa) Journal of Physical and Chemical Reference Data, 37 (2), 913 (2008)

23

24 Data Survey Comparison & Analysis Consistency Check Decision Data survey and evaluation is done by specialist! based on their experience We need more systematic way

25 Data Evaluation Processes Supported by National Standard Reference Data (SRD) Project

26 Standard Reference Data Reference Data is data related to a property of a phenomenon, body, or substance, or to a system of components of known composition or structure, obtained from identified source, critically evaluated, and verified for accuracy Standard Reference Data is reference data issued by a recognized authority The SRD is classified into three types according to the criteria of technical evaluation which are provided by the governmental gazette regarding the Guidelines for the Establishment and Distribution of Standard Reference Data

27 Classification of Standard Reference Data Qualified SRD Data which satisfies minimum technical requirements of SRD Validated SRD SRD derived from the qualified SRD which has consistency with the measurement results obtained by other methods Certified SRD SRD which is critically reviewed by relevant scientists for its reliability and accuracy Minimum technical requirements minimum technical requirements include clear description of measurand : rationale of measurement methods and theoretical calculation uncertainty estimate traceability of measuring equipment to the national measurement standards control of variables which may impact on measurement results description of measurement errors and its accuracy description of measurement methods and procedures for reproducibility by the third parties

28 Standard Reference Data approx. 415 SRD (From )

29 Evaluation System Minimum technical requirements minimum technical requirements include clear description of measurand : rationale of measurement methods and theoretical calculation uncertainty estimate traceability of measuring equipment to the national measurement standards control of variables which may impact on measurement results description of measurement errors and its accuracy description of measurement methods and procedures for reproducibility by the third parties

30

31 Just first step toward better way (I believe) If we have WEB based Evaluation System! Evaluation procedure will be more clear Expert knowledge can leave as a documents : It contains more information than article, I hope no regional limitation, no time limitation and so on

32

33 Basic Research Industrial NEEDS A+M DATA

34

35 A+M data is just small number It support many industrial technology, research, etc If we reduce the GAP between research and application, A+M DATA becomes 4 th PARADIGM!!! Data Evaluation is the first step!!!