##################### generated by xml-casa (v2) from h_applycal.xml ################
##################### 1bc0d1c0c6f4e0eef975bd7d57746319 ##############################
from __future__ import absolute_import
import numpy
from casatools.typecheck import CasaValidator as _val_ctor
_pc = _val_ctor( )
from casatools.coercetype import coerce as _coerce
from .private.task_h_applycal import h_applycal as _h_applycal_t
from casatasks.private.task_logging import start_log as _start_log
from casatasks.private.task_logging import end_log as _end_log
class _h_applycal:
"""
h_applycal ---- Apply the calibration(s) to the data
Apply precomputed calibrations to the data.
h_applycal applies the precomputed calibration tables stored in the pipeline
context to the set of visibility files using predetermined field and
spectral window maps and default values for the interpolation schemes.
Users can interact with the pipeline calibration state using the tasks
hif_export_calstate and hif_import_calstate.
Issues
There is some discussion about the appropriate values of calwt. Given
properly scaled data, the correct value should be the CASA default of True.
However at the current time ALMA is suggesting that calwt be set to True for
applying observatory calibrations, e.g. antenna positions, WVR, and system
temperature corrections, and to False for applying instrument calibrations,
e.g. bandpass, gain, and flux.
Output:
results -- If pipeline mode is 'getinputs' then None is returned. Otherwise
the results object for the pipeline task is returned
--------- parameter descriptions ---------------------------------------------
vis The list of input MeasurementSets. Defaults to the list of MeasurementSets
in the pipeline context. Parameter is not available when pipelinemode='automatic'.
example: ['X227.ms']
field A string containing the list of field names or field ids to which
the calibration will be applied. Defaults to all fields in the pipeline
context. Parameter is not available when pipelinemode='automatic'.
example: '3C279', '3C279, M82'
intent A string containing the list of intents against which the
selected fields will be matched. Defaults to all supported intents
in the pipeline context. Parameter is not available when pipelinemode='automatic'.
example: '*TARGET*'
spw The list of spectral windows and channels to which the calibration
will be applied. Defaults to all science windows in the pipeline
context. Parameter is not available when pipelinemode='automatic'.
example: '17', '11, 15'
antenna The list of antennas to which the calibration will be applied.
Defaults to all antennas. Not currently supported.
Parameter is not available when pipelinemode='automatic'.
applymode Calibration apply mode
''='calflagstrict': calibrate data and apply flags from solutions using
the strict flagging convention
'trial': report on flags from solutions, dataset entirely unchanged
'flagonly': apply flags from solutions only, data not calibrated
'calonly': calibrate data only, flags from solutions NOT applied
'calflagstrict':
'flagonlystrict': same as above except flag spws for which calibration is
unavailable in one or more tables (instead of allowing them to pass
uncalibrated and unflagged)
flagbackup Backup the flags before the apply
flagsum Compute before and after flagging summary statistics
flagdetailedsum Compute detailed before and after flagging statistics summaries.
Parameter available only when if flagsum is True.
pipelinemode The pipeline operating mode. In 'automatic' mode the pipeline
determines the values of all context defined pipeline inputs automatically.
In interactive mode the user can set the pipeline context defined parameters
manually. In 'getinputs' mode the user can check the settings of all
pipeline parameters without running the task.
dryrun Run task (False) or display the command(True).
Parameter is available only when pipelinemode='interactive'.
acceptresults Add the results of the task to the pipeline context (True) or
reject them (False). Parameter is available only when pipelinemode='interactive'.
--------- examples -----------------------------------------------------------
1. Apply the calibration to the target data
hif_applycal (intent='TARGET')
"""
_info_group_ = """pipeline"""
_info_desc_ = """Apply the calibration(s) to the data"""
def __call__( self, vis=[ ], field='', intent='', spw='', antenna='', applymode='', flagbackup=True, flagsum=True, flagdetailedsum=False, pipelinemode='automatic', dryrun=False, acceptresults=True ):
schema = {'vis': {'type': 'cStrVec', 'coerce': [_coerce.to_list,_coerce.to_strvec]}, 'field': {'type': 'cStr', 'coerce': _coerce.to_str}, 'intent': {'type': 'cStr', 'coerce': _coerce.to_str}, 'spw': {'type': 'cStr', 'coerce': _coerce.to_str}, 'antenna': {'type': 'cStr', 'coerce': _coerce.to_str}, 'applymode': {'type': 'cStr', 'coerce': _coerce.to_str, 'allowed': [ 'calonly', 'flagonlystrict', 'calflag', 'flagonly', 'trial', '', 'calflagstrict' ]}, 'flagbackup': {'type': 'cBool'}, 'flagsum': {'type': 'cBool'}, 'flagdetailedsum': {'type': 'cBool'}, 'pipelinemode': {'type': 'cStr', 'coerce': _coerce.to_str, 'allowed': [ 'automatic', 'interactive', 'getinputs' ]}, 'dryrun': {'type': 'cBool'}, 'acceptresults': {'type': 'cBool'}}
doc = {'vis': vis, 'field': field, 'intent': intent, 'spw': spw, 'antenna': antenna, 'applymode': applymode, 'flagbackup': flagbackup, 'flagsum': flagsum, 'flagdetailedsum': flagdetailedsum, 'pipelinemode': pipelinemode, 'dryrun': dryrun, 'acceptresults': acceptresults}
assert _pc.validate(doc,schema), str(_pc.errors)
_logging_state_ = _start_log( 'h_applycal', [ 'vis=' + repr(_pc.document['vis']), 'field=' + repr(_pc.document['field']), 'intent=' + repr(_pc.document['intent']), 'spw=' + repr(_pc.document['spw']), 'antenna=' + repr(_pc.document['antenna']), 'applymode=' + repr(_pc.document['applymode']), 'flagbackup=' + repr(_pc.document['flagbackup']), 'flagsum=' + repr(_pc.document['flagsum']), 'flagdetailedsum=' + repr(_pc.document['flagdetailedsum']), 'pipelinemode=' + repr(_pc.document['pipelinemode']), 'dryrun=' + repr(_pc.document['dryrun']), 'acceptresults=' + repr(_pc.document['acceptresults']) ] )
return _end_log( _logging_state_, 'h_applycal', _h_applycal_t( _pc.document['vis'], _pc.document['field'], _pc.document['intent'], _pc.document['spw'], _pc.document['antenna'], _pc.document['applymode'], _pc.document['flagbackup'], _pc.document['flagsum'], _pc.document['flagdetailedsum'], _pc.document['pipelinemode'], _pc.document['dryrun'], _pc.document['acceptresults'] ) )
h_applycal = _h_applycal( )