Ft2db is a database of Ft-2 tokamak experimental data that was produced by ASTRA code (Automated System for TRansport Analysis). FT-2 tokamak is situated in St.Petersburg Russia in the Ioffe Institute
In the database there are objects named "<name>_<time>" for example: 140609ss_0.028 , that usually means that the experiment was made 09 June 2014, the time of experimental data is 28ms and ss means Steady State.
More information about specific experiment could be found in uniq experiment file that is available by link. Equation files are available too. So you could repeat all the simulation with your own ASTRA code. Except there might be no additional modules in pure ASTRA.
It's possible to download all database as a JSON file and work with it more precise. Additional information about it in "Data Parsing" section.
- Name name of dataset
- Time time in seconds
- Gas gas of the experiment
- Type experiment type
- Equation name of equ file
- Experiment name of exp file
Standard data
| Data | Dimension | Description |
|---|---|---|
| r | m | major radius |
| a | m | minor radius |
| b | T | magnetic field |
| I | MA | Current |
| q | 1 | safety factor on the edge |
| time | s | time |
| dt | ms | time step in ASTRA modelling |
Scalar data
| Data | Dimension | Description |
|---|---|---|
| time | s | current time |
| vexp | V | experimental loop voltage |
| zef | 1 | effective charge |
| v | V | ASTRA modelled loop voltage |
| ipl | MA | Current |
| neav | 10^19 m^-3 | Average electron density |
| taue | ms | electron energy confinement time |
| amj | 1 | mass of main ion |
| tna | ms | NeoAlcator taue scaling |
| tgo | ms | Goldstone taue scaling |
| q.95 | 1 | safety factor at r*95% |
| nnn | 1 | nn(a)/nn(0) |
| Tnb | eV | neutrals temperature on the edge |
| ne0 | 10^19 m^-3 | electron density in center |
Vector data
| Data | Dimension | Description |
|---|---|---|
| a | m | radius |
| te | keV | electron temperature |
| shif | m | Shafranov shift |
| heef | m^2/s | Effective electron heat conductivity |
| prad | MW/m^3 | Radiation power |
| ne | 10^19 m^-3 | electron density |
| q | 1 | safety factor |
| volu | m^3 | Plasma volume inside this radius |
| poh | MW/m^3 | Power of Ohmic Heating |
| ti | keV | ion temperature |
| shea | 1 | magnetic shear |
| xief | m^2/s | Effective ion heat conductivity |
| peic | MW/m^3 | Electron ion heat exchange due to Coulomb collisions |
| ni | 10^19 cm^-3 | ion density |
| rho | m | main magnetic surface label |
| slat | m^2 | Toroidal surface area |
| niz1 | 10^19 m^-3 | impurity density |
| qe | kW | electron energy flux |
| upl | V | toroidal loop voltage |
| grte | -keV/m | electron temperature gradient |
| grpe | -keV/m^4 | electron pressure gradient |
| vpra | MW | volume integral of a radiative power |
| habo | m^2/s | Heat conductivity Anomalous Bohm |
| taue | s | electron energy confinement time inside this radius |
| grti | -keV/m | ion temperature gradient |
| vpoh | MW | volume integral of an ohmic power |
| qi | kW | ion energy flux |
| cc | (µOhm m)^-1 or MS/m | conductivity |
| grne | -1/10^19 m^-4 | electron density gradient |
| vpei | MW | volume integral of a Peic |
| zef | 1 | effective charge |
| j | A/m^2 | current density |
| sn | 10^19 m^-3 s^-1 | particle source |
| hegn | m^2/s | electron heat conductivity without convection |
| nn | 10^16 m^-3 | neutrals density |
| tn | keV | neutrals temperature |
| dnex | m^2/s | electron diffusion coefficient |
| peto | MW/m^3 | electron heat source |
More information could be found in the ASTRA manual by checking names in output of equation files
There are some Python parsers of JSON files that may help with analyzing data: switching str from DB to float, finding specific experiments, printing specific data, averaging and so on.
You need /parsing folder. At the moment there is no external manual for the code but it's pretty easy to understand if you have some experience in Python.
ATTENTION: DB file in the repository is not necessary actual, better download one from http://ft2db.com
Usage of the data requires adding all contributors of the project in an affiliation. For more information please contact us
Artur Perevalov [email protected]
All rights reserved 2016
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