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** [[Data flagging with plotms]]

[[Image:PlotG192_setjy.png|200px|thumb|right|Figure 1: plotms of model amp vs freq for 3C147]] We can plot the model data using {{plotms}} (Figure 1):

* Flagging of any obvious bad data (flagdata, plotms, viewer)

[[Image:ScreenshotPlotG192-setjy-4.5.png|200px|thumb|right|Figure 1: plotms of model amp vs freq for 3C147]] We can plot the model data using {{plotms}} (Figure 1):

[[Image:ScreenshotPlotG192-setjy-4.5.png|200px|thumb|right|Figure 1: plotms of model amp vs freq for 3C147]] We can plot the model data using {{plotms}} (Figure 1):

[[Image:ScreenshotPlotG192-setjy-4.5.png|200px|thumb|right|Figure 1: plotms of model amp vs freq for 3C147]] We can plot the model data using {{plotms}} (Figure 1):

...e can track the agreement between the DATA, CORRECTED_DATA, and MODEL in {{plotms}}. The options in 'Axes' allows one to select which column is to be plotte ...indow of the original 2 spw dataset. You will need to find it (e.g. using plotms) and avoid it in imaging. You can also flag those channels using flagdata,

[[Image:ScreenshotPlotG192-setjy-4.5.png|200px|thumb|right|Figure 1: plotms of model amp vs freq for 3C147]] We can plot the model data using {{plotms}} (Figure 1):

[[Image:PlotG192_setjy.png|200px|thumb|right|Figure 1: plotms() output for model amplitudes vs freqency for 3C147]] We can plot the model data using {{plotms}} (Figure 1):

[[Image:PlotG192_setjy.png|200px|thumb|right|Figure 1: plotms() output for model amplitudes vs freqency for 3C147]] We can plot the model data using {{plotms}} (Figure 1):

[[Image:PlotG192_setjy.png|200px|thumb|right|Figure 1: plotms() output for model amplitudes vs freqency for 3C147]] ...sadocs.readthedocs.io/en/v6.2.0/api/tt/casatasks.visualization.plotms.html plotms] (Figure 1):

* Interactive Flagging (plotms, msview)

[[Image:Fig_02.c641.png|350px|thumb|right|Figure 2: ''plotms()'' output for model amplitudes as function of freqency for the flux densit ...sadocs.readthedocs.io/en/v6.5.4/api/tt/casatasks.visualization.plotms.html plotms] (Figure 2):

...e can track the agreement between the DATA, CORRECTED_DATA, and MODEL in {{plotms}}. The options in 'Axes' allows one to select which column is to be plotte ...indow of the original 2 spw dataset. You will need to find it (e.g. using plotms) and avoid it in imaging. You can also flag those channels using flagdata,

...e can track the agreement between the DATA, CORRECTED_DATA, and MODEL in {{plotms}}. The options in 'Axes' allows one to select which column is to be plotte ...indow of the original 2 spw dataset. You will need to find it (e.g. using plotms) and avoid it in imaging. You can also flag those channels using flagdata,

...e can track the agreement between the DATA, CORRECTED_DATA, and MODEL in {{plotms}}. The options in 'Axes' allows one to select which column is to be plotte ...indow of the original 2 spw dataset. You will need to find it (e.g. using plotms) and avoid it in imaging. You can also flag those channels using flagdata,

...e can track the agreement between the DATA, CORRECTED_DATA, and MODEL in {{plotms}}. The options in 'Axes' allows one to select which column is to be plotte ...indow of the original 2 spw dataset. You will need to find it (e.g. using plotms) and avoid it in imaging. You can also flag those channels using flagdata,

...e can track the agreement between the DATA, CORRECTED_DATA, and MODEL in {{plotms}}. The options in 'Axes' allows one to select which column is to be plotte ...indow of the original 2 spw dataset. You will need to find it (e.g. using plotms) and avoid it in imaging. You can also flag those channels using flagdata,

...e can track the agreement between the DATA, CORRECTED_DATA, and MODEL in {{plotms}}. The options in 'Axes' allows one to select which column is to be plotte ...indow of the original 2 spw dataset. You will need to find it (e.g. using plotms) and avoid it in imaging. You can also flag those channels using flagdata,

...e can track the agreement between the DATA, CORRECTED_DATA, and MODEL in {{plotms}}. The options in 'Axes' allows one to select which column is to be plotte ...indow of the original 2 spw dataset. You will need to find it (e.g. using plotms) and avoid it in imaging. You can also flag those channels using flagdata,

...e can track the agreement between the DATA, CORRECTED_DATA, and MODEL in {{plotms}}. The options in 'Axes' allows one to select which column is to be plotte ...indow of the original 2 spw dataset. You will need to find it (e.g. using plotms) and avoid it in imaging. You can also flag those channels using flagdata,

...e can track the agreement between the DATA, CORRECTED_DATA, and MODEL in {{plotms}}. The options in 'Axes' allows one to select which column is to be plotte ...indow of the original 2 spw dataset. You will need to find it (e.g. using plotms) and avoid it in imaging. You can also flag those channels using flagdata,

...any other obvious problems. One task to examine the data themselves is {{plotms}}. plotms(vis='3c391_ctm_mosaic_10s_spw0.ms', selectdata=True, correlation='RR,LL', a

...any other obvious problems. One task to examine the data themselves is {{plotms}}. plotms(vis='3c391_ctm_mosaic_10s_spw0.ms', selectdata=True, correlation='RR,LL', a

...sadocs.readthedocs.io/en/v6.2.0/api/tt/casatasks.visualization.plotms.html plotms]. plotms(vis='3c391_ctm_mosaic_10s_spw0.ms', selectdata=True, correlation='RR,LL', a

...any other obvious problems. One task to examine the data themselves is {{plotms}}. plotms(vis='3c391_ctm_mosaic_10s_spw0.ms', selectdata=True, correlation='RR,LL', a

...hedocs.io/en/v6.5.4/notebooks/data_examination.html#Plot/Edit-using-plotms plotms]. plotms(vis='3c391_ctm_mosaic_10s_spw0.ms', selectdata=True, correlation='RR,LL', a

...do so purely to keep your desktop uncluttered), and in one case (that of {{plotms}}), you '''must''' leave the graphics window open, as the GUI cannot be reo ...any other obvious problems. One task to examine the data themselves is {{plotms}}.

...e [https://casadocs.readthedocs.io/en/v6.5.4/api/tt/casaplotms.plotms.html plotms()] task to examine our data. plotms(vis='3c391_ctm_mosaic_10s_spw0.ms', selectdata=True, correlation='RR,LL', a

...purely to keep your desktop uncluttered). <!--, and in one case (that of {{plotms}}), you '''must''' leave the graphics window open, as the GUI cannot be reo ...y other obvious problems. One task to examine the data themselves is '''{{plotms}}'''.

...purely to keep your desktop uncluttered). <!--, and in one case (that of {{plotms}}), you '''must''' leave the graphics window open, as the GUI cannot be reo ...y other obvious problems. One task to examine the data themselves is '''{{plotms}}'''.

...tps://casa.nrao.edu/casadocs/casa-5.0.0/global-task-list/task_plotms/about plotms]), you '''must''' leave the graphics window open, as the GUI cannot be reop ...'''[https://casa.nrao.edu/casadocs/casa-5.0.0/global-task-list/task_plotms plotms]'''.

...purely to keep your desktop uncluttered). <!--, and in one case (that of {{plotms}}), you '''must''' leave the graphics window open, as the GUI cannot be reo ...any other obvious problems. One task to examine the data themselves is {{plotms}}.

...purely to keep your desktop uncluttered). <!--, and in one case (that of {{plotms}}), you '''must''' leave the graphics window open, as the GUI cannot be reo ...y other obvious problems. One task to examine the data themselves is '''{{plotms}}'''.

...do so purely to keep your desktop uncluttered), and in one case (that of {{plotms}}), you '''must''' leave the graphics window open, as the GUI cannot be reo ...any other obvious problems. One task to examine the data themselves is {{plotms}}.

...do so purely to keep your desktop uncluttered), and in one case (that of {{plotms}}), you '''must''' leave the graphics window open, as the GUI cannot be reo ...any other obvious problems. One task to examine the data themselves is {{plotms}}.

...e seen in plots of the phase vs. frequency for the calibrator sources in {{plotms}}. ...as we would like, this is a good time to look at the calibrated data in {{plotms}}. A very useful way to check the quality of the calibration, is to plot th

...purely to keep your desktop uncluttered). <!--, and in one case (that of {{plotms}}), you '''must''' leave the graphics window open, as the GUI cannot be reo ...any other obvious problems. One task to examine the data themselves is {{plotms}}.

...purely to keep your desktop uncluttered). <!--, and in one case (that of {{plotms}}), you '''must''' leave the graphics window open, as the GUI cannot be reo ...any other obvious problems. One task to examine the data themselves is {{plotms}}.

...purely to keep your desktop uncluttered). <!--, and in one case (that of {{plotms}}), you '''must''' leave the graphics window open, as the GUI cannot be reo ...any other obvious problems. One task to examine the data themselves is {{plotms}}.

...purely to keep your desktop uncluttered). <!--, and in one case (that of {{plotms}}), you '''must''' leave the graphics window open, as the GUI cannot be reo ...any other obvious problems. One task to examine the data themselves is {{plotms}}.

...purely to keep your desktop uncluttered). <!--, and in one case (that of {{plotms}}), you '''must''' leave the graphics window open, as the GUI cannot be reo ...any other obvious problems. One task to examine the data themselves is {{plotms}}.

...ig. 4a).[[File:3C129_pband_3C147_prebp.png|200px|thumb|right|Figure 4a: <i>plotms</i> output before RFI flagging]] plotms(vis='3C129.ms',xaxis='freq',yaxis='amp',antenna='ea01',correlation='XX,YY',

...ig. 4a).[[File:3C129_pband_3C147_prebp.png|200px|thumb|right|Figure 4a: <i>plotms</i> output before RFI flagging]] plotms(vis='3C129.ms',xaxis='freq',yaxis='amp',antenna='ea01',correlation='XX,YY',

...ig. 4a).[[File:3C129_pband_3C147_prebp.png|200px|thumb|right|Figure 4a: <i>plotms</i> output before RFI flagging]] plotms(vis='3C129.ms',xaxis='freq',yaxis='amp',antenna='ea01',correlation='XX,YY',

...ig. 4a).[[File:3C129_pband_3C147_prebp.png|200px|thumb|right|Figure 4a: <i>plotms</i> output before RFI flagging]] plotms(vis='3C129.ms',xaxis='freq',yaxis='amp',antenna='ea01',correlation='XX,YY',

...t data 'reduction' :-) ). A convenient way of doing this is through the <i>plotms</i> task on bright calibrator(s) (again, see the <i>listobs()</i> output), plotms(vis='TSUB0001_pband_prehs.ms',xaxis='freq',yaxis='amp',antenna='ea01',corre

...t data 'reduction' :-) ). A convenient way of doing this is through the <i>plotms</i> task on bright calibrator(s) (again, see the <i>listobs()</i> output), plotms(vis='TSUB0001_pband_prehs.ms',xaxis='freq',yaxis='amp',antenna='ea01',corre

...t data 'reduction' :-) ). A convenient way of doing this is through the <i>plotms</i> task on bright calibrator(s) (again, see the <i>listobs()</i> output), plotms(vis='TSUB0001_pband.ms',xaxis='freq',yaxis='amp',antenna='ea01',correlation

...t data 'reduction' :-) ). A convenient way of doing this is through the <i>plotms</i> task on bright calibrator(s) (again, see the <i>listobs()</i> output), plotms(vis='TSUB0001_pband.ms',xaxis='freq',yaxis='amp',antenna='ea01',correlation

[[Image:CASA6.4.1-ampvUVdist.png|thumb|Figure 2: plotms Amplitude vs. UVdist colorized by spw (vis='jupiter6cm.demo.ms')]] ...cs.readthedocs.io/en/v6.4.1/api/tt/casaplotms.plotms.html?highlight=plotms plotms]''', which is destructive to the data set and cannot be undone. If a mistak

...use you to flag too much data. In that case, look at the data itself in {{plotms}} (see below for examples) to decide whether or not to apply all flags. (N ...ts. <b>NOTE: We do not recommend using the editing/flagging features of {{plotms}}.</b> It is very easy to mess up your data this way. Also, to improve sp

...use you to flag too much data. In that case, look at the data itself in {{plotms}} (see below for examples) to decide whether or not to apply all flags. (N Now we examine the MS looking for bad data to flag. We will use {{plotms}} to bring up an interactive GUI that will display 2-D Y vs. X style line p

...use you to flag too much data. In that case, look at the data itself in {{plotms}} (see below for examples) to decide whether or not to apply all flags. ...plots. <b>NOTE: We do not recommend using the editing/flagging features of plotms.</b> It is very easy to mess up your data this way. Also, to improve spee

...use you to flag too much data. In that case, look at the data itself in {{plotms}} (see below for examples) to decide whether or not to apply all flags. Now we examine the MS looking for bad data to flag. We will use {{plotms}} to bring up an interactive GUI that will display 2-D Y vs.X style line pl

[[Image:amp_v_freq_rawdata.png|200px|thumb|right|plotms image showing strong RFI spikes in amplitude.]] We may also inspect the raw data using {{plotms}}. To start with, lets look at a subset of scans on the supernova remnant:

[[Image:amp_v_freq_rawdata.png|200px|thumb|right|plotms image showing strong RFI spikes in amplitude.]] We may also inspect the raw data using {{plotms}}. To start with, lets look at a subset of scans on the supernova remnant:

...entage. (Exercise for the reader: use an amplitude vs. frequency plot in {{plotms}} to verify these claims.)

...entage. (Exercise for the reader: use an amplitude vs. frequency plot in {{plotms}} to verify these claims.)

...likely not recoverable. The user may plot the solution in {{plotcal}} or {{plotms}} and ''locate'' the faulty spectral windows or polarizations and flag them CHECK for: RFI removal in the target data (use plotms). Although flagging is performed for all fields, the calibration is applied

...of the calibrated measurement set with colorized spectral windows using {{plotms}}, we note that the first chosen frequency lies within spectral window 0, w

...of the calibrated measurement set with colorized spectral windows using {{plotms}}, we note that the first chosen frequency lies within spectral window 0, w

...likely not recoverable. The user may plot the solution in {{plotcal}} or {{plotms}} and ''locate'' the faulty spectral windows or polarizations and flag them CHECK for: RFI removal in the target data (use {{plotms}}). Although flagging is performed for all fields, the calibration is appli

...likely not recoverable. The user may plot the solution in {{plotcal}} or {{plotms}} and ''locate'' the faulty spectral windows or polarizations and flag them CHECK for: RFI removal in the target data (use {{plotms}}). Although flagging is performed for all fields, the calibration is appli

...sadocs.readthedocs.io/en/v6.2.0/api/tt/casatasks.visualization.plotms.html plotms] to verify these claims.)

...entage. (Exercise for the reader: use an amplitude vs. frequency plot in {{plotms}} to verify these claims.)

...entage. (Exercise for the reader: use an amplitude vs. frequency plot in {{plotms}} to verify these claims.)

...entage. (Exercise for the reader: use an amplitude vs. frequency plot in {{plotms}} to verify these claims.)

...n [https://casadocs.readthedocs.io/en/v6.5.2/api/tt/casaplotms.plotms.html plotms] to verify these claims.)

...use you to flag too much data. In that case, look at the data itself in {{plotms}} (see below for examples) to decide whether or not to apply all flags. ...plots. <b>NOTE: We do not recommend using the editing/flagging features of plotms.</b> It is very easy to mess up your data this way. Also, to improve spee

...use you to flag too much data. In that case, look at the data itself in {{plotms}} (see below for examples) to decide whether or not to apply all flags. ...plots. <b>NOTE: We do not recommend using the editing/flagging features of plotms.</b> It is very easy to mess up your data this way. Also, to improve spee

...n [https://casadocs.readthedocs.io/en/v6.5.4/api/tt/casaplotms.plotms.html plotms] to verify these claims.)

...use you to flag too much data. In that case, look at the data itself in {{plotms}} (see below for examples) to decide whether or not to apply all flags. ...plots. <b>NOTE: We do not recommend using the editing/flagging features of plotms.</b> It is very easy to mess up your data this way. Also, to improve spee

...use you to flag too much data. In that case, look at the data itself in {{plotms}} (see below for examples) to decide whether or not to apply all flags. ...plots. <b>NOTE: We do not recommend using the editing/flagging features of plotms.</b> It is very easy to mess up your data this way. Also, to improve spee

...use you to flag too much data. In that case, look at the data itself in {{plotms}} (see below for examples) to decide whether or not to apply all flags. (N ...ts. <b>NOTE: We do not recommend using the editing/flagging features of {{plotms}}.</b> It is very easy to mess up your data this way. Also, to improve sp

...use you to flag too much data. In that case, look at the data itself in {{plotms}} (see below for examples) to decide whether or not to apply all flags. ...plots. <b>NOTE: We do not recommend using the editing/flagging features of plotms.</b> It is very easy to mess up your data this way. Also, to improve spee

...use you to flag too much data. In that case, look at the data itself in {{plotms}} (see below for examples) to decide whether or not to apply all flags. ...plots. <b>NOTE: We do not recommend using the editing/flagging features of plotms.</b> It is very easy to mess up your data this way. Also, to improve spee

...use you to flag too much data. In that case, look at the data itself in {{plotms}} (see below for examples) to decide whether or not to apply all flags. (N ...ts. <b>NOTE: We do not recommend using the editing/flagging features of {{plotms}}.</b> It is very easy to mess up your data this way. Also, to improve sp

...use you to flag too much data. In that case, look at the data itself in {{plotms}} (see below for examples) to decide whether or not to apply all flags. (N ...ts. <b>NOTE: We do not recommend using the editing/flagging features of {{plotms}}.</b> It is very easy to mess up your data this way. Also, to improve sp

...use you to flag too much data. In that case, look at the data itself in {{plotms}} (see below for examples) to decide whether or not to apply all flags. ...plots. <b>NOTE: We do not recommend using the editing/flagging features of plotms.</b> It is very easy to mess up your data this way. Also, to improve spee

...use you to flag too much data. In that case, look at the data itself in {{plotms}} (see below for examples) to decide whether or not to apply all flags. ...plots. <b>NOTE: We do not recommend using the editing/flagging features of plotms.</b> It is very easy to mess up your data this way. Also, to improve spee

...use you to flag too much data. In that case, look at the data itself in {{plotms}} (see below for examples) to decide whether or not to apply all flags. ...plots. <b>NOTE: We do not recommend using the editing/flagging features of plotms.</b> It is very easy to mess up your data this way. Also, to improve spee

...use you to flag too much data. In that case, look at the data itself in {{plotms}} (see below for examples) to decide whether or not to apply all flags. ...plots. <b>NOTE: We do not recommend using the editing/flagging features of plotms.</b> It is very easy to mess up your data this way. Also, to improve spee