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'''Return to [[Analysis Utilities]]'''
'''Return to [[Analysis Utilities]]'''
'''Note: {{plotbandpass_6.5.4}} is available as an official CASA task (since the 4.1 release).'''


This page documents the plotbandpass function of Python module [[Analysis Utilities|analysisUtils]].
This page documents the plotbandpass function of Python module [[Analysis Utilities|analysisUtils]].


The '''plotbandpass''' function provides extended capabilities beyond those of CASA's plotcal. It was written to facilitate rapid visualization of ALMA's bandpass and spectral Tsys measurements in Science Verification and Early Science data, but it can be used on EVLA data as well. It is distributed with the analysisUtils Python module which provides numerous other Python extensions callable from within CASA. Analysis Utilities has been tested on dual-polarization ALMA data, and single-, dual-, and full-polarization EVLA data. The function parameters can always be obtained by giving parameter: '''help=True'''.  For example,
The '''plotbandpass''' function provides extended capabilities beyond those of CASA's plotcal. It was written to facilitate rapid visualization of ALMA's bandpass and spectral Tsys measurements in Science Verification and Early Science data, but it can be used to plot EVLA bandpass solutions as well. It is distributed with the analysisUtils Python module which provides numerous other Python extensions callable from within CASA. '''plotbandpass''' has been tested on dual-polarization ALMA data, and single-, dual-, and full-polarization EVLA data. It supports both the old and new calibration table formats. Plotbandpass is being added as an official casa task in the casapy 4.1 to be released in May 2013.  It has all of the functionality listed below (except for the platformingThreshold and resample options).  In the analysisUtils version, a description of the input parameters can always be obtained by giving parameter: '''help=True'''.   


<source lang="python">
<source lang="python">
Line 10: Line 12:
au.plotbandpass(help=True)
au.plotbandpass(help=True)
</source>
</source>
<code><pre>
 
$Id: plotbandpass.py,v 1.118 2011/12/13 20:12:47 thunter Exp $
This command will print to your screen a complete listing of available parameters and their meaning as shown below.
 
<code><pre style="background-color: #fffacd;">
$Id: plotbandpass3.py,v 1.24 2013/02/15 17:58:50 thunter Exp $
Usage: plotbandpass(caltable='', antenna='', field='', spw='', yaxis='amp',
Usage: plotbandpass(caltable='', antenna='', field='', spw='', yaxis='amp',
   xaxis='chan', figfile='', plotrange=[0,0,0,0], help=False, caltable2='',
   xaxis='chan', figfile='', plotrange=[0,0,0,0], help=False, caltable2='',
   overlay='', showflagged=False, timeranges='', buildpdf=False, caltable3='',
   overlay='', showflagged=False, timeranges='', buildpdf=False, caltable3='',
   markersize=3, density=108, interactive=True, showpoints='auto',
   markersize=3, density=108, interactive=True, showpoints='auto',
   showlines='auto', subplot='22', zoom='', poln='', showatm=False, pwv='1.0',
   showlines='auto', subplot='22', zoom='', poln='', showatm=False, pwv='auto',
   gs='gs', convert='convert', chanrange='', debug=False, vm='',
   gs='gs', convert='convert', chanrange='', debug=False, vm='',
   solutionTimeThresholdSeconds=60.0, phase='')
   solutionTimeThresholdSeconds=60.0, phase='', ms='', showtsky=False,
  showfdm=False, showatmfield='', lo1=None, showimage=False,
  showatmPoints=False, parentms='', pdftk='pdftk', channeldiff=False,
  edge=8, resample=1, vis='', platformingThreshold=10, platformingSigma=5,
  basebands=None, showBasebandNumber=False, scans='', figfileSequential=False,
  groupByBaseband=False, cleanup=False, caltable2amplitudeOffset=0, xcolor='b', ycolor='g')
  antenna: must be ID (int or string or list), or a single antenna name or list
  antenna: must be ID (int or string or list), or a single antenna name or list
  atm: overlay the atmospheric transmission curve for the weather and elevation
  basebands: show only spws from the specified baseband or list of basebands (default:None=all)
  buildpdf: True/False, if True and figfile is set, assemble pngs into a pdf
  buildpdf: True/False, if True and figfile is set, assemble pngs into a pdf
  caltable: a bandpass table, of type B or BPOLY
  caltable: a bandpass table, of type B or BPOLY
  caltable2: a second cal table, of type BPOLY or B, to overlay on a B table
  caltable2: a second cal table, of type BPOLY or B, to overlay on a B table
caltable2amplitudeOffset: constant value to add to caltable2
  caltable3: a third cal table, of type BPOLY, to overlay on the first two
  caltable3: a third cal table, of type BPOLY, to overlay on the first two
  chanrange: set xrange (e.g. '5~100') over which to autoscale y-axis for xaxis='freq'
  chanrange: set xrange ('5~100') over which to autoscale y-axis for xaxis='freq'
  convert: full path for convert command (in case it's not found)
channeldiff: set to value > 0 (sigma) to plot derivatives of amplitude
cleanup: remove pngs after making pdf when buildpdf=True
  convert: full path for ImageMagick convert command (in case it's not found)
  density: dpi to use in creating PNGs and PDFs (default=108)
  density: dpi to use in creating PNGs and PDFs (default=108)
edge: the number of edge channels to ignore in finding outliers (for channeldiff>0)
  field: must be an ID, source name, or list thereof; can use trailing *: 'J*'
  field: must be an ID, source name, or list thereof; can use trailing *: 'J*'
  figfile: the base_name of the png files to save: base_name.antX.spwY.png
  figfile: the base_name of the png files to save: base_name.antX.spwY.png
figfileSequential: naming scheme, False: name by spw/antenna (default)
                    True: figfile.1.png, figfile.2.png, etc.
groupByBaseband: group spws for display by baseband
  gs: full path for ghostscript command (in case it's not found)
  gs: full path for ghostscript command (in case it's not found)
  help: print this message
  help: print this message
  interactive: if False, then figfile will run to completion automatically
  interactive: if False, then figfile will run to completion automatically
lo1: specify the LO1 setting (in GHz) for the observation (used if showimage=T)
  overlay: 'antenna' or 'time', make 1 plot with different items in colors
  overlay: 'antenna' or 'time', make 1 plot with different items in colors
  showflagged:  show the values of data, even if flagged
  showflagged:  show the values of data, even if flagged
  markersize: size of points (default=3)
  markersize: size of points (default=3)
ms: name of the ms for this table, in case it does not match the string in the caltable
parentms: name of the parent ms, in case the ms has been previously split
pdftk: full path for pdftk command (in case it's not found)
  phase: the y-axis limits to use for phase plots when yaxis='both'
  phase: the y-axis limits to use for phase plots when yaxis='both'
platformingSigma: declare platforming if the amplitude derivative exceeds this many times the MAD
platformingThreshold: if platformingSigma=0, then declare platforming if the amplitude
                      derivative exceeds this percentage of the median
  plotrange: define axis limits: [x0,x1,y0,y1] where 0,0 means auto
  plotrange: define axis limits: [x0,x1,y0,y1] where 0,0 means auto
  poln: polarizations to plot (e.g. 'XX','YY','RR','LL' or '' for both)
  poln: polarizations to plot (e.g. 'XX','YY','RR','LL' or '' for both)
  pwv: define the pwv to use for the showatm option: 'auto' or value in mm
  pwv: define the pwv to use for the showatm option: 'auto' or value in mm
resample: channel expansion factor to use when computing MAD of derivative (for channeldiff>0)
scans: show only solutions for the specified scans (int, list, or string)
  showatm: compute and overlay the atmospheric transmission curve
  showatm: compute and overlay the atmospheric transmission curve
showatmfield: for overlay='time', use first observation of this fieldID or name
showatmPoints: draw atmospheric curve with points instead of a line
showBasebandNumber: put the BBC_NO in the title of each plot
showfdm: when showing TDM spws with xaxis='freq', draw locations of FDM spws
showimage: also show the atmospheric curve for the image sideband (in black)
showtsky: compute and overlay the sky temperature curve instead of transmission
  showlines: draw lines connecting the data (default=T for amp, F for phase)
  showlines: draw lines connecting the data (default=T for amp, F for phase)
  showpoints: draw points for the data (default=F for amp, T for phase)
  showpoints: draw points for the data (default=F for amp, T for phase)
  solutionTimeThresholdSeconds: consider 2 solutions simultaneous if within this interval (default=60)
  solutionTimeThresholdSeconds: consider 2 solutions simultaneous if within this interval (default=60)
  spw: must be single ID or list or range (e.g. 0~4, not the original ID)
  spw: must be single ID or list or range (e.g. 0~4, not the original ID)
  subplot: 11,22,32 or 42 for rows x columns; options: 11,22,32 or 42 (default=22)
  subplot: 11,22,32 or 42 for RowsxColumns (default=22), any 3rd digit is ignored
  timeranges: show only these timeranges, the first timerange being 1
  timeranges: show only these timeranges, the first timerange being 0
  vm: a result from ValueMapping, returned from a previous call
  vm: obsolete (the result from ValueMapping('my.ms'), or as returned from a previous call to plotbandpass)
  xaxis: 'chan' or 'freq'
  xaxis: 'chan' or 'freq'
  yaxis: 'amp', 'phase', or 'both' == 'ap'; append 'db' for dB
xcolor: color for XX polarization points (default = blue)
  yaxis: 'amp', 'tsys', 'phase', or 'both' amp&phase == 'ap'; append 'db' for dB
ycolor: color for YY polarization points (default = green)
  zoom: 'intersect' will zoom to overlap region of caltable with caltable2
  zoom: 'intersect' will zoom to overlap region of caltable with caltable2
</pre></code>
</pre></code>


If '''help''' is not True, the return value is the [https://safe.nrao.edu/wiki/bin/view/ALMA/ValueMapping ValueMapping] structure for the specified MS.
If '''help''' is not True, the information printed to the screen at the conclusion of the function is the [https://safe.nrao.edu/wiki/bin/view/ALMA/ValueMapping ValueMapping] structure for the specified MS.


''Regarding the '''showatm=True''' parameter, since most people reducing ALMA data do not load the ASDM_CALWVR table into the MS, the atmospheric transmission curve will be computed by default for 1.0 mm, but you can set the PWV to any value using the '''pwv''' option.  If you want the fully correct curve for ALMA, then copy the <tt>CalWVR.xml</tt> file from your ASDM to the present working directory and specify '''pwv='auto' '''. ''
''Regarding the '''showatm=True''' parameter, since some people reducing ALMA data do not load the ASDM_CALWVR table into the MS, the atmospheric transmission curve will be computed by default for 1.0 mm in this case, but you can set the PWV to any value using the '''pwv''' option.  If you want the fully correct curve for ALMA, then copy the <tt>CalWVR.xml</tt> file from your ASDM to the present working directory and specify '''pwv='auto' ''' (which is now the default).''


Most of the regular CASA list syntax is accepted (commas and tildes) but negation via exclamation point is not supported, nor is channel selection within an spw. You are welcome to submit a ticket to the ALMA helpdesk if you want either of these capabilities. If you find any problems or unexpected behavior, please include the following information in your bug or enhancement request and send to [http://help.almascience.org helpdesk]:  
Most of the regular CASA list syntax is accepted (commas, tildes, exclamation point) except channel selection within an spw and negation of spws is not supported. You are welcome to submit a ticket to the ALMA helpdesk (category = Data Reduction) if you find any problems or unexpected behavior.  Please include the following information in your bug or enhancement request and send to [http://help.almascience.org helpdesk]:  
# the version number you are using, which is printed as the first line of output;  
# the version number you are using, which is printed as the first line of output;  
# the exact command; and  
# the exact command; and  
# a pointer to the dataset.
# a pointer to the dataset.


== How to speed up the performance on large datasets ==
== Display a simple bandpass solution ==


The plotbandpass function first needs to call ValueMapping to learn about the dataset and create a structure for future reference. If you plan to run the function many times on the same dataset, then you should store the return value of the structure from ValueMapping, like so:
<source lang="Python">
# In CASA
au.plotbandpass(caltable='bandpass.bcal',yaxis='both',antenna='DV07',figfile='bandpass')
</source>
 
Here we have specified a single antenna, but we could give a list, or leave it blank for all antennas. We have asked for both phase and amplitude which are shown in adjacent plots. Note how the ouput figfile name will be modified to include antenna number, spw, and timerange of the first panel for your convenience: bandpass.DV07.spw0.t1.png. The default style for amplitude is lines, and phase is points, but this can be changed with showpoints or showlines.
 
[[File:Bandpass.DV07.spw0.t1.png|700px]]
 
Maybe you prefer to see your phase plots on a common -180 to +180 degree scale. You can do that with plotrange and by limiting yourself to showing only the phase plots.


<source lang="Python">
<source lang="Python">
# In CASA
# In CASA
vm = au.ValueMapping(your_ms)
au.plotbandpass(caltable='bandpass.bcal',yaxis='phase',antenna='DV07',figfile='bandpass_phase',plotrange=[0,0,-180,180])
</source>
</source>


Now, you can pass the result back to plotbandpass via the optional '''vm''' argument to avoid having to run ValueMapping inside of plotbandpass each time. It will do a sanity check to see if the MS name in the <tt>vm</tt> structure matches the MS name stored inside the caltable.
[[File:Bandpass phase.DV07.spw0.t1.png|700px]]
 
The first 3 plots are from the 3 different time ranges. The fourth plot is the first timerange on the second spw (spw=1). Notice how the upper half of the channels are missing. This is because they were flagged prior to the solution. The x-axis range reflects both flagged and unflagged data to visually remind you of this situation.
 
== Display different (fixed) y-axis ranges for amplitude and phase ==
 
Alternatively, if you want to show both amplitude and phase plots on the same page, you can set a fixed amplitude range with the plotrange parameter, and a different fixed phase range with phase=[-180,180].


<source lang="Python">
<source lang="Python">
# All subsequent calls to plotbandpass will now run faster, as long as the vm=vm argument is passed.
# In CASA
au.plotbandpass(caltable='bandpass.bcal', vm=vm)
au.plotbandpass(caltable='bandpass.bcal',yaxis='both',antenna='DV07',figfile='bandpass_phase',plotrange=[0,0,0,5],phase=[-180,180])
</source>
</source>


== Display a simple bandpass solution ==
== Display a bandpass solution with a BPOLY solution overlaid ==
 
You can overlay a BPOLY solution on top of the regular B solution to see how well the polynomial reproduces the shape.


<source lang="Python">
<source lang="Python">
au.plotbandpass(caltable='bandpass.bcal',yaxis='both',antenna='DV07',figfile='bandpass')
# In CASA
au.plotbandpass('bandpass_b_skipspw19high.bcal',overlay='',yaxis='phase',field='0',
                xaxis='freq',caltable2='bandpass_bpoly_skipspw19high.bcal',
                showpoints=True,spw=0,figfile='bpoly_overlay',antenna='4~7')
</source>
</source>


Here we have specified a single antenna, but we could give a list, or leave it blank for all antennas. We have asked for both phase and amplitude which are shown in adjacent plots. Note how the ouput figfile name will be modified to include antenna number, spw, and timerange of the first panel for your convenience: bandpass.DV07.spw0.t1.png. The default style for amplitude is lines, and phase is points, but this can be changed with showpoints or showlines.
[[File:Bpoly overlay.DV09.spw0.t1.png|700px]]
 


image1
'''Note: You cannot overlay two BPOLY solutions''', unless you overlay three solutions with the first caltable as a B solution (then caltable2 and 3 can be of either type).


Maybe you prefer to see your phase plots on a common -180 to +180 degree scale. You can do that with plotrange and by limiting yourself to showing only the phase plots.
== Overlay a bandpass solution with a smoothed version created by [[smoothbandpass]] ==


<source lang="Python">
<source lang="Python">
au.plotbandpass(caltable='bandpass.bcal',yaxis='phase',antenna='DV07',figfile='bandpass_phase',plotrange=[0,0,-180,180])
# In CASA
au.plotbandpass(caltable='bandpass.bcal',caltable2='bandpass.bcal_smooth',xaxis='freq',
                yaxis='both',overlay='',figfile='smooth',antenna='DV07')
</source>
</source>


image2
The "c1" and "c2" labels in the legend correspond to caltable and caltable2:


The first 3 plots are from the 3 different time ranges. The fourth plot is the first timerange on the second spw (spw=1). Notice how the upper half of the channels are missing. This is because they were flagged prior to the solution. The x-axis range reflects both flagged and unflagged data to visually remind you of this situation.
[[File:Smooth.DV07.spw0.t1.png|700px]]


== Display different (fixed) y-axis ranges for amplitude and phase ==
== Display a Tsys solution for individual times for one field ==


== Display a bandpass solution with a BPOLY solution overlaid ==
A Tsys table is simply a bandpass table with amplitude values set to the system temperature and phase set to zero. There is no inherent way in the header to differentiate a Tsys table from another bandpass table. Therefore, in order to decide whether to make the yaxis label "Amplitude" or "Tsys", we simply look for the letters "tsys" in the caltable name.


== Overlay a bandpass solution with a smoothed version created by smoothbandpass ==
<source lang="Python">
# In CASA
au.plotbandpass('X3c1.tsys',yaxis='amp',field='2',xaxis='chan',figfile='tsys_chan.png')
</source>


== Display a Tsys solution for individual times for one field ==
[[File:Tsys chan.DV04.spw0.t1.png|700px]]


== Overlay Tsys values for all antennas, one plot per timerange ==
== Overlay Tsys values for all antennas, one plot per timerange ==
A quick way to check whether any antenna shows an anomalous system temperature is to overlay all of them together.
<source lang="Python">
# In CASA
au.plotbandpass('X3c1.tsys',overlay='antenna',yaxis='amp',field='2',xaxis='chan',
                figfile='tsys_antenna_overlay.png',subplot=11)
</source>
[[File:Tsys antenna overlay.spw0.t1.png|700px]]


== Overlay Tsys values for all timeranges, one plot per antenna ==
== Overlay Tsys values for all timeranges, one plot per antenna ==


== Overlay Tsys from TDM and interpolated result for FDM ==
<source lang="Python">
# In CASA
au.plotbandpass('X3c1.tsys',overlay='time',yaxis='amp',field='2',xaxis='chan',
                figfile='tsys_overlay.png',subplot=11)
</source>
 
[[File:Tsys overlay.DV04.spw0.png|700px]]


== Compute and overlay the atmospheric transmission cure ==
== Compute and overlay the atmospheric transmission cure ==
Sometimes it is instructive to compare the atmospheric transmission curve to the bandpass solution, for example to confirm that absorption features are due to ozone lines. Because Juan Pardo's atm program is contained in casa, the curve can be computed with '''showatm=True''' option. By default it will use 1.0 mm as the PWV, however you can change this by entering a different value with '''pwv='2.0' ''' or by setting '''pwv='auto' ''', which will use the actual values of PWV as measured by the WVRs via TelCal and written into the ASDM_CALWVR table. In this case, the median value from all antennas is used. In all cases, the transmission curve uses the airmass of the source for the scan closest to the midpoint of the solution interval. The curve is drawn such that 0% is at the bottom and 100% is at the top of the y-axis, regardless of what plotrange is set for the amplitude.
<source lang="Python">
# In CASA
au.plotbandpass('bandpass2_60m.bcal',showatm=True,xaxis='freq',figfile='showatm.png',
                subplot=11,plotrange=[230.6,232.5,0,1.2])
</source>
[[File:Showatm.DV02.spw1.t3.png|700px]]
For band 9, it is useful to also overlay the transmission curve from the image sideband, which affects the Tsys equally as the signal sideband.  If you have imported the Receiver.xml file during importasdm, then it will automatically determine the LO1 frequency.  If not, then you must specify it in GHz (for example, lo1=340.0).  Here is an example call and plot:
<source lang="Python">
# In CASA
au.plotbandpass('uid___A002_X41f8d2_X50f.ms.tsys_3.4',showatm=T,xaxis='chan',showimage=T,vm='',field='0',subplot=11)
</source>
[[File:Showatm_band9_chan.png|700px]]


== Clipping off the edge channels ==
== Clipping off the edge channels ==
Sometimes the edge of the band shows extreme amplitude values. In this case, it is useful to limit the xrange of the display. If you are using '''xaxis='chan' ''', you can simply use '''plotrange=[8,120,0,0]''' to clip 8 channels off each edge. But if you are using '''xaxis='freq' ''', you must set '''chanrange='8~120' ''' and leave plotrange at the default. Below is an example of the full display, and the display with chanrange set.
<source lang="Python">
# In CASA
au.plotbandpass('bandpass2_20m.bcal',xaxis='freq',overlay='time',showatm=T,
                antenna='',plotrange=[0,0,0,0],subplot=11,figfile='limitedrange',
                chanrange='10~120')
</source>
[[File:Fullrange.DV02.spw0.t1.png|500px]] [[File:Limitedrange.DV02.spw0.t1.png|500px]]

Latest revision as of 17:13, 17 April 2024

Return to Analysis Utilities

Note: plotbandpass is available as an official CASA task (since the 4.1 release).

This page documents the plotbandpass function of Python module analysisUtils.

The plotbandpass function provides extended capabilities beyond those of CASA's plotcal. It was written to facilitate rapid visualization of ALMA's bandpass and spectral Tsys measurements in Science Verification and Early Science data, but it can be used to plot EVLA bandpass solutions as well. It is distributed with the analysisUtils Python module which provides numerous other Python extensions callable from within CASA. plotbandpass has been tested on dual-polarization ALMA data, and single-, dual-, and full-polarization EVLA data. It supports both the old and new calibration table formats. Plotbandpass is being added as an official casa task in the casapy 4.1 to be released in May 2013. It has all of the functionality listed below (except for the platformingThreshold and resample options). In the analysisUtils version, a description of the input parameters can always be obtained by giving parameter: help=True.

# In CASA
import analysisUtils as au
au.plotbandpass(help=True)

This command will print to your screen a complete listing of available parameters and their meaning as shown below.

$Id: plotbandpass3.py,v 1.24 2013/02/15 17:58:50 thunter Exp $
Usage: plotbandpass(caltable='', antenna='', field='', spw='', yaxis='amp',
   xaxis='chan', figfile='', plotrange=[0,0,0,0], help=False, caltable2='',
   overlay='', showflagged=False, timeranges='', buildpdf=False, caltable3='',
   markersize=3, density=108, interactive=True, showpoints='auto',
   showlines='auto', subplot='22', zoom='', poln='', showatm=False, pwv='auto',
   gs='gs', convert='convert', chanrange='', debug=False, vm='',
   solutionTimeThresholdSeconds=60.0, phase='', ms='', showtsky=False,
   showfdm=False, showatmfield='', lo1=None, showimage=False,
   showatmPoints=False, parentms='', pdftk='pdftk', channeldiff=False, 
   edge=8, resample=1, vis='', platformingThreshold=10, platformingSigma=5, 
   basebands=None, showBasebandNumber=False, scans='', figfileSequential=False, 
   groupByBaseband=False, cleanup=False, caltable2amplitudeOffset=0, xcolor='b', ycolor='g')
 antenna: must be ID (int or string or list), or a single antenna name or list
 basebands: show only spws from the specified baseband or list of basebands (default:None=all)
 buildpdf: True/False, if True and figfile is set, assemble pngs into a pdf
 caltable: a bandpass table, of type B or BPOLY
 caltable2: a second cal table, of type BPOLY or B, to overlay on a B table
 caltable2amplitudeOffset: constant value to add to caltable2
 caltable3: a third cal table, of type BPOLY, to overlay on the first two
 chanrange: set xrange ('5~100') over which to autoscale y-axis for xaxis='freq'
 channeldiff: set to value > 0 (sigma) to plot derivatives of amplitude
 cleanup: remove pngs after making pdf when buildpdf=True
 convert: full path for ImageMagick convert command (in case it's not found)
 density: dpi to use in creating PNGs and PDFs (default=108)
 edge: the number of edge channels to ignore in finding outliers (for channeldiff>0)
 field: must be an ID, source name, or list thereof; can use trailing *: 'J*'
 figfile: the base_name of the png files to save: base_name.antX.spwY.png
 figfileSequential: naming scheme, False: name by spw/antenna (default)
                    True: figfile.1.png, figfile.2.png, etc.
 groupByBaseband: group spws for display by baseband
 gs: full path for ghostscript command (in case it's not found)
 help: print this message
 interactive: if False, then figfile will run to completion automatically
 lo1: specify the LO1 setting (in GHz) for the observation (used if showimage=T)
 overlay: 'antenna' or 'time', make 1 plot with different items in colors
 showflagged:  show the values of data, even if flagged
 markersize: size of points (default=3)
 ms: name of the ms for this table, in case it does not match the string in the caltable
 parentms: name of the parent ms, in case the ms has been previously split
 pdftk: full path for pdftk command (in case it's not found)
 phase: the y-axis limits to use for phase plots when yaxis='both'
 platformingSigma: declare platforming if the amplitude derivative exceeds this many times the MAD
 platformingThreshold: if platformingSigma=0, then declare platforming if the amplitude
                       derivative exceeds this percentage of the median
 plotrange: define axis limits: [x0,x1,y0,y1] where 0,0 means auto
 poln: polarizations to plot (e.g. 'XX','YY','RR','LL' or '' for both)
 pwv: define the pwv to use for the showatm option: 'auto' or value in mm
 resample: channel expansion factor to use when computing MAD of derivative (for channeldiff>0)
 scans: show only solutions for the specified scans (int, list, or string)
 showatm: compute and overlay the atmospheric transmission curve
 showatmfield: for overlay='time', use first observation of this fieldID or name
 showatmPoints: draw atmospheric curve with points instead of a line
 showBasebandNumber: put the BBC_NO in the title of each plot
 showfdm: when showing TDM spws with xaxis='freq', draw locations of FDM spws
 showimage: also show the atmospheric curve for the image sideband (in black)
 showtsky: compute and overlay the sky temperature curve instead of transmission
 showlines: draw lines connecting the data (default=T for amp, F for phase)
 showpoints: draw points for the data (default=F for amp, T for phase)
 solutionTimeThresholdSeconds: consider 2 solutions simultaneous if within this interval (default=60)
 spw: must be single ID or list or range (e.g. 0~4, not the original ID)
 subplot: 11,22,32 or 42 for RowsxColumns (default=22), any 3rd digit is ignored
 timeranges: show only these timeranges, the first timerange being 0
 vm: obsolete (the result from ValueMapping('my.ms'), or as returned from a previous call to plotbandpass)
 xaxis: 'chan' or 'freq'
 xcolor: color for XX polarization points (default = blue)
 yaxis: 'amp', 'tsys', 'phase', or 'both' amp&phase == 'ap'; append 'db' for dB
 ycolor: color for YY polarization points (default = green)
 zoom: 'intersect' will zoom to overlap region of caltable with caltable2

If help is not True, the information printed to the screen at the conclusion of the function is the ValueMapping structure for the specified MS.

Regarding the showatm=True parameter, since some people reducing ALMA data do not load the ASDM_CALWVR table into the MS, the atmospheric transmission curve will be computed by default for 1.0 mm in this case, but you can set the PWV to any value using the pwv option. If you want the fully correct curve for ALMA, then copy the CalWVR.xml file from your ASDM to the present working directory and specify pwv='auto' (which is now the default).

Most of the regular CASA list syntax is accepted (commas, tildes, exclamation point) except channel selection within an spw and negation of spws is not supported. You are welcome to submit a ticket to the ALMA helpdesk (category = Data Reduction) if you find any problems or unexpected behavior. Please include the following information in your bug or enhancement request and send to helpdesk:

  1. the version number you are using, which is printed as the first line of output;
  2. the exact command; and
  3. a pointer to the dataset.

Display a simple bandpass solution

# In CASA
au.plotbandpass(caltable='bandpass.bcal',yaxis='both',antenna='DV07',figfile='bandpass')

Here we have specified a single antenna, but we could give a list, or leave it blank for all antennas. We have asked for both phase and amplitude which are shown in adjacent plots. Note how the ouput figfile name will be modified to include antenna number, spw, and timerange of the first panel for your convenience: bandpass.DV07.spw0.t1.png. The default style for amplitude is lines, and phase is points, but this can be changed with showpoints or showlines.

Maybe you prefer to see your phase plots on a common -180 to +180 degree scale. You can do that with plotrange and by limiting yourself to showing only the phase plots.

# In CASA
au.plotbandpass(caltable='bandpass.bcal',yaxis='phase',antenna='DV07',figfile='bandpass_phase',plotrange=[0,0,-180,180])

The first 3 plots are from the 3 different time ranges. The fourth plot is the first timerange on the second spw (spw=1). Notice how the upper half of the channels are missing. This is because they were flagged prior to the solution. The x-axis range reflects both flagged and unflagged data to visually remind you of this situation.

Display different (fixed) y-axis ranges for amplitude and phase

Alternatively, if you want to show both amplitude and phase plots on the same page, you can set a fixed amplitude range with the plotrange parameter, and a different fixed phase range with phase=[-180,180].

# In CASA
au.plotbandpass(caltable='bandpass.bcal',yaxis='both',antenna='DV07',figfile='bandpass_phase',plotrange=[0,0,0,5],phase=[-180,180])

Display a bandpass solution with a BPOLY solution overlaid

You can overlay a BPOLY solution on top of the regular B solution to see how well the polynomial reproduces the shape.

# In CASA
au.plotbandpass('bandpass_b_skipspw19high.bcal',overlay='',yaxis='phase',field='0',
                xaxis='freq',caltable2='bandpass_bpoly_skipspw19high.bcal',
                showpoints=True,spw=0,figfile='bpoly_overlay',antenna='4~7')


Note: You cannot overlay two BPOLY solutions, unless you overlay three solutions with the first caltable as a B solution (then caltable2 and 3 can be of either type).

Overlay a bandpass solution with a smoothed version created by smoothbandpass

# In CASA
au.plotbandpass(caltable='bandpass.bcal',caltable2='bandpass.bcal_smooth',xaxis='freq',
                yaxis='both',overlay='',figfile='smooth',antenna='DV07')

The "c1" and "c2" labels in the legend correspond to caltable and caltable2:

Display a Tsys solution for individual times for one field

A Tsys table is simply a bandpass table with amplitude values set to the system temperature and phase set to zero. There is no inherent way in the header to differentiate a Tsys table from another bandpass table. Therefore, in order to decide whether to make the yaxis label "Amplitude" or "Tsys", we simply look for the letters "tsys" in the caltable name.

# In CASA
au.plotbandpass('X3c1.tsys',yaxis='amp',field='2',xaxis='chan',figfile='tsys_chan.png')

Overlay Tsys values for all antennas, one plot per timerange

A quick way to check whether any antenna shows an anomalous system temperature is to overlay all of them together.

# In CASA
au.plotbandpass('X3c1.tsys',overlay='antenna',yaxis='amp',field='2',xaxis='chan',
                figfile='tsys_antenna_overlay.png',subplot=11)

Overlay Tsys values for all timeranges, one plot per antenna

# In CASA
au.plotbandpass('X3c1.tsys',overlay='time',yaxis='amp',field='2',xaxis='chan',
                figfile='tsys_overlay.png',subplot=11)

Compute and overlay the atmospheric transmission cure

Sometimes it is instructive to compare the atmospheric transmission curve to the bandpass solution, for example to confirm that absorption features are due to ozone lines. Because Juan Pardo's atm program is contained in casa, the curve can be computed with showatm=True option. By default it will use 1.0 mm as the PWV, however you can change this by entering a different value with pwv='2.0' or by setting pwv='auto' , which will use the actual values of PWV as measured by the WVRs via TelCal and written into the ASDM_CALWVR table. In this case, the median value from all antennas is used. In all cases, the transmission curve uses the airmass of the source for the scan closest to the midpoint of the solution interval. The curve is drawn such that 0% is at the bottom and 100% is at the top of the y-axis, regardless of what plotrange is set for the amplitude.

# In CASA
au.plotbandpass('bandpass2_60m.bcal',showatm=True,xaxis='freq',figfile='showatm.png',
                subplot=11,plotrange=[230.6,232.5,0,1.2])


For band 9, it is useful to also overlay the transmission curve from the image sideband, which affects the Tsys equally as the signal sideband. If you have imported the Receiver.xml file during importasdm, then it will automatically determine the LO1 frequency. If not, then you must specify it in GHz (for example, lo1=340.0). Here is an example call and plot:

# In CASA
au.plotbandpass('uid___A002_X41f8d2_X50f.ms.tsys_3.4',showatm=T,xaxis='chan',showimage=T,vm='',field='0',subplot=11)

Clipping off the edge channels

Sometimes the edge of the band shows extreme amplitude values. In this case, it is useful to limit the xrange of the display. If you are using xaxis='chan' , you can simply use plotrange=[8,120,0,0] to clip 8 channels off each edge. But if you are using xaxis='freq' , you must set chanrange='8~120' and leave plotrange at the default. Below is an example of the full display, and the display with chanrange set.

# In CASA
au.plotbandpass('bandpass2_20m.bcal',xaxis='freq',overlay='time',showatm=T,
                antenna='',plotrange=[0,0,0,0],subplot=11,figfile='limitedrange',
                chanrange='10~120')