OMAS at ITER¶

The ITER IO has installed and is officially supporting a public installation of the OMAS library on the ITER clusters.

SSH to the hpc-login.iter.org server (use the X2GO for interactive/graphical session)
Load the IMAS and OMAS unix modules:
```
>> module load OMAS IMAS
```

Access ITER data¶

Although ITER experimental data is yet to be produced, OMAS can already be used to access the database of ITER plasma scenarios that is curated by the ITER IO.

Find what is available in the ITER IMAS database:
```
>> scenario_summary
```

Access ITER scenario database via OMAS from python:

# load OMAS package
from omas import *

# load data from a pulse chosen from the ITER scenario database
ods = load_omas_iter_scenario(pulse=131034, run=0)

# print nodes with data
from pprint import pprint
pprint(ods.pretty_paths())

# save data in different format (eg. pickle file)
save_omas_pkl(ods, 'iter_scenario_131034.pk')

For more information on how to manipulate OMAS data see the high-level OMAS overview page and the extensive list of OMAS examples.

Remotely access ITER data with OMFIT¶

OMFIT adds remote access capability to the IMAS functions within OMAS

Set the MainSettings['SERVER']['ITER_username'] to your ITER username

Remotely query ITER scenario database:

# get the iter scenario data in OMFIT
OMFIT['iter_scenarios'] = iter_scenario_summary_remote()

# filter based on some criterion
OMFIT['filter'] = OMFIT['iter_scenarios'].filter(
    {'List of IDSs': ['equilibrium',
                      'core_profiles',
                      'core_sources',
                      'summary'],
     'Workflow': 'CORSICA',
     'Fuelling': 'D-T'})

# sort based on a column
OMFIT['filter'].sort('Ip[MA]')

# display filtered and sorted table
print(OMFIT['filter'])

Access ITER scenario database remotely from within OMFIT:

OMFIT['ods'] = load_omas_iter_scenario_remote(pulse=131034, run=0)

ITER scenario requirements¶

There is a subset of IDS fields that are required to add datasets to the ITER scenario database

Tutorial for running predictive ITER modeling with OMFIT+OMAS¶

Google docs or PDF

Tutorial for running the IMAS Python HCD workflow via OMFIT+OMAS¶

Google docs or PDF