pipeline.hifa.cli.hifa_wvrgcalflag

hifa_wvrgcalflag(vis=None, caltable=None, offsetstable=None, hm_toffset=None, toffset=None, segsource=None, sourceflag=None, hm_tie=None, tie=None, nsol=None, disperse=None, wvrflag=None, hm_smooth=None, smooth=None, scale=None, maxdistm=None, minnumants=None, mingoodfrac=None, refant=None, flag_intent=None, qa_intent=None, qa_bandpass_intent=None, accept_threshold=None, flag_hi=None, fhi_limit=None, fhi_minsample=None, ants_with_wvr_thresh=None, parallel=None) → ResultsList[Results][source]

Flag bad WVR calibration in gain table and interpolate over antennas with bad radiometers.

This task will first identify for each vis whether it includes at least 3 antennas with Water Vapor Radiometer (WVR) data, and that the fraction of WVR antennas / all antennas exceeds the minimum threshold (ants_with_wvr_thresh).

If there are not enough WVR antennas by number and/or fraction, then no WVR caltable is created and no WVR calibration will be applied to the corresponding vis. If there are enough WVR antennas, then the task proceeds as follows for each valid vis:

First, generate a gain table based on the Water Vapor Radiometer data for each vis.

Second, apply the WVR calibration to the data specified by 'flag_intent', calculate flagging 'views' showing the ratio 'phase-rms with WVR / phase-rms without WVR' for each scan. A ratio < 1 implies that the phase noise is improved, a ratio > 1 implies that it is made worse.

Third, search the flagging views for antennas with anomalous high values. If any are found then recalculate the WVR calibration with the 'wvrflag' parameter set to ignore their data and interpolate results from other antennas according to 'maxdistm' and 'minnumants'.

Fourth, after flagging, if the remaining unflagged antennas with WVR number fewer than 3, or represent a smaller fraction of antennas than the minimum threshold (ants_with_wvr_thresh), then the WVR calibration file is rejected and will not be merged into the context, i.e. not be used in subsequent calibration.

Fifth, if the overall QA score for the final WVR correction of a vis file is greater than the value in 'accept_threshold' then make available the wvr calibration file for merging into the context and use in the subsequent reduction.

Parameters:

  • vis --

    List of input visibility files. Default: none, in which case the vis files to be used will be read from the context.

    Example: vis=['ngc5921.ms']

  • caltable --

    List of output gain calibration tables. Default: none, in which case the names of the caltables will be generated automatically.

    Example: caltable='ngc5921.wvr'

  • offsetstable --

    List of input temperature offsets table files to subtract from WVR measurements before calculating phase corrections. Default: none, in which case no offsets are applied.

    Example: offsetstable=['ngc5921.cloud_offsets']

  • hm_toffset -- If 'manual', set the 'toffset' parameter to the user-specified value. If 'automatic', set the 'toffset' parameter according to the date of the MeasurementSet; toffset=-1 if before 2013-01-21T00:00:00 toffset=0 otherwise.

  • toffset -- Time offset (sec) between interferometric and WVR data.

  • segsource -- If True calculate new atmospheric phase correction coefficients for each source, subject to the constraints of the tie parameter. segsource is forced to be True if the tie parameter is set to a non-empty value by the user or by the automatic heuristic.

  • sourceflag --

    Flag the WVR data for these source(s) as bad and do not produce corrections for it. Requires segsource=True.

    Example: sourceflag=['3C273']

  • hm_tie -- If 'manual', set the tie parameter to the user-specified value. If 'automatic', set the tie parameter to include with the target all calibrators that are within 15 degrees of it: if no calibrators are that close then tie is left empty.

  • tie --

    Use the same atmospheric phase correction coefficients when calculating the WVR correction for all sources in the tie. If tie is not empty then segsource is forced to be True. Ignored unless hm_tie = 'manual'.

    Example: tie=['3C273,NGC253', 'IC433,3C279']

  • nsol -- Number of solutions for phase correction coefficients during this observation, evenly distributed in time throughout the observation. It is used only if segsource=False because if segsource=True then the coefficients are recomputed whenever the telescope moves to a new source (within the limits imposed by 'tie').

  • disperse -- Apply correction for dispersion. (Deprecated; will be removed)

  • wvrflag --

    Flag the WVR data for these antenna(s) as bad and replace its data with interpolated values.

    Example: wvrflag=['DV03','DA05','PM02']

  • hm_smooth -- If 'manual' set the 'smooth' parameter to the user-specified value. If 'automatic', run the wvrgcal task with the range of 'smooth' parameters required to match the integration time of the WVR data to that of the interferometric data in each spectral window.

  • smooth -- Smooth WVR data on this timescale before calculating the correction. Ignored unless hm_smooth='manual'.

  • scale -- Scale the entire phase correction by this factor.

  • maxdistm --

    Distance in meters of an antenna used for interpolation from a flagged antenna. Default: -1 (automatically set to 100m if >50% of antennas are 7m antennas without WVR and otherwise set to 500m).

    Example: maxdistm=550

  • minnumants --

    Minimum number of nearby antennas (up to 3) used for interpolation from a flagged antenna.

    Example: minnumants=3

  • mingoodfrac --

    Minimum fraction of good data per antenna.

    Example: mingoodfrac=0.7

  • refant --

    Ranked comma delimited list of reference antennas.

    Example: refant='DV02,DV06'

  • flag_intent -- The data intent(s) on whose WVR correction results the search for bad WVR antennas is to be based. A 'flagging view' will be calculated for each specified intent, in each spectral window in each vis file. Each 'flagging view' will consist of a 2-d image with dimensions ['ANTENNA', 'TIME'], showing the phase noise after the WVR correction has been applied. If flag_intent is left blank, the default, the flagging views will be derived from data with the default bandpass calibration intent i.e. the first in the list BANDPASS, PHASE, AMPLITUDE for which the MeasurementSet has data.

  • qa_intent -- The list of data intents on which the WVR correction is to be tried as a means of estimating its effectiveness. A QA 'view' will be calculated for each specified intent, in each spectral window in each vis file. Each QA 'view' will consist of a pair of 2-d images with dimensions ['ANTENNA', 'TIME'], one showing the data phase-noise before the WVR application, the second showing the phase noise after (both 'before' and 'after' images have a bandpass calibration applied as well). An overall QA score is calculated for each vis file, by dividing the 'before' images by the 'after' and taking the median of the result. An overall score of 1 would correspond to no change in the phase noise, a score > 1 implies an improvement. If the overall score for a vis file is less than the value in 'accept_threshold' then the WVR calibration file is not made available for merging into the context for use in the subsequent reduction.

  • qa_bandpass_intent -- The data intent to use for the bandpass calibration in the qa calculation. The default is blank to allow the underlying bandpass task to select a sensible intent if the dataset lacks BANDPASS data.

  • accept_threshold -- The phase-rms improvement ratio (rms without WVR / rms with WVR) above which the wrvg file will be accepted into the context for subsequent application.

  • flag_hi -- True to flag high figure of merit outliers.

  • fhi_limit -- Flag figure of merit values higher than limit * MAD.

  • fhi_minsample -- Minimum number of samples for valid MAD estimate.

  • ants_with_wvr_thresh -- This threshold sets the minimum fraction of antennas that should have WVR data for WVR calibration and flagging to proceed; the same threshold is used to determine, after flagging, whether there remain enough unflagged antennas with WVR data for the WVR calibration to be applied. Example: ants_with_wvr_thresh=0.5

  • parallel --

    Process multiple MeasurementSets in parallel using the casampi parallelization framework.

    Options: 'automatic', 'true', 'false', True, False

    Default: None (equivalent to False)

Returns:

The results object for the pipeline task is returned.

Examples

  1. Compute the WVR calibration for all the MeasurementSets:

>>> hifa_wvrgcalflag(hm_tie='automatic')