EVLA spectral line IRC10216

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                      1. 2nd attempt at summer school data on IRC+10216

importevla(asdm='../TDEM0003_sb1345754_1.55312.131578217595', 

          vis='day2_TDEM0003',flagzero=T,shadow=T)

listobs(vis='day2_TDEM0003')

  1. Fields: 8
  2. ID Code Name RA Decl Epoch SrcId nVis
  3. 0 NONE J1008+0730 10:08:00.0160 +07.30.16.5520 J2000 0 74750
  4. 1 Z J1008+0730 10:08:00.0160 +07.30.16.5520 J2000 1 661700
  5. 2 D J0954+1743 09:54:56.8236 +17.43.31.2224 J2000 2 1458600
  6. 3 NONE IRC+10216 09:47:57.3820 +13.16.40.6600 J2000 3 4083300
  7. 4 Z J1229+0203 12:29:06.6997 +02.03.08.5982 J2000 4 194350
  8. 5 F J1229+0203 12:29:06.6997 +02.03.08.5982 J2000 5 213850
  9. 6 Z J1331+3030 13:31:08.2880 +30.30.32.9589 J2000 6 194350
  10. 7 E J1331+3030 13:31:08.2880 +30.30.32.9589 J2000 7 117000
  11. (nVis = Total number of time/baseline visibilities per field)
  12. Spectral Windows: (4 unique spectral windows and 1 unique polarization setups)
  13. SpwID #Chans Frame Ch1(MHz) ChanWid(kHz)TotBW(kHz) Ref(MHz) Corrs
  14. 0 64 TOPO 36387.2295 125 8000 36387.2295 RR RL LR LL
  15. 1 64 TOPO 36304.542 125 8000 36304.542 RR RL LR LL
  16. 2 64 TOPO 5028 125 8000 5028 RR RL LR LL
  17. 3 64 TOPO 5156 125 8000 5156 RR RL LR LL
  1. ID Name Station Diam. Long. Lat.
  2. 0 ea01 W09 25.0 m -107.37.25.2 +33.53.51.0
  3. 1 ea02 E02 25.0 m -107.37.04.4 +33.54.01.1
  4. 2 ea03 E09 25.0 m -107.36.45.1 +33.53.53.6
  5. 3 ea04 W01 25.0 m -107.37.05.9 +33.54.00.5
  6. 4 ea05 W08 25.0 m -107.37.21.6 +33.53.53.0
  7. 5 ea07 N06 25.0 m -107.37.06.9 +33.54.10.3
  8. 6 ea08 N01 25.0 m -107.37.06.0 +33.54.01.8
  9. 7 ea09 E06 25.0 m -107.36.55.6 +33.53.57.7
  10. 8 ea11 E04 25.0 m -107.37.00.8 +33.53.59.7
  11. 9 ea12 E08 25.0 m -107.36.48.9 +33.53.55.1
  12. 10 ea13 N07 25.0 m -107.37.07.2 +33.54.12.9
  13. 11 ea14 E05 25.0 m -107.36.58.4 +33.53.58.8
  14. 12 ea15 W06 25.0 m -107.37.15.6 +33.53.56.4
  15. 13 ea16 W02 25.0 m -107.37.07.5 +33.54.00.9
  16. 14 ea17 W07 25.0 m -107.37.18.4 +33.53.54.8
  17. 15 ea18 N09 25.0 m -107.37.07.8 +33.54.19.0
  18. 16 ea19 W04 25.0 m -107.37.10.8 +33.53.59.1
  19. 17 ea20 N05 25.0 m -107.37.06.7 +33.54.08.0
  20. 18 ea21 E01 25.0 m -107.37.05.7 +33.53.59.2
  21. 19 ea22 N04 25.0 m -107.37.06.5 +33.54.06.1
  22. 20 ea23 E07 25.0 m -107.36.52.4 +33.53.56.5
  23. 21 ea24 W05 25.0 m -107.37.13.0 +33.53.57.8
  24. 22 ea25 N02 25.0 m -107.37.06.2 +33.54.03.5
  25. 23 ea26 W03 25.0 m -107.37.08.9 +33.54.00.1
  26. 24 ea27 E03 25.0 m -107.37.02.8 +33.54.00.5
  27. 25 ea28 N08 25.0 m -107.37.07.5 +33.54.15.8

gain cal field id=2 bp cal field id=5 flux cal field id=7 target field id=3 Ka-band spw = 0,1 C-band pointing spw =2,3

names ea11,ea13,ea14,ea16,ea17,ea18,ea26 - no Ka receivers ea10, ea06 out of array ea12 newly back ea15 pointing bad ea 10, ea12, ea22 do not have good baseline positions

split(vis='day2_TDEM0003_10s',outputvis='day2_TDEM0003_10s_norx', 

     datacolumn='all',
     antenna='!ea11,ea13,ea14,ea16,ea17,ea18,ea26')
                        1. Initial Flagging and Inspection ############

listobs(vis='day2_TDEM0003_10s_norx')

Fields: 4 

 ID   Code Name         RA            Decl           Epoch   SrcId nVis   
 2    D    J0954+1743   09:54:56.8236 +17.43.31.2224 J2000   2     65326  
 3    NONE IRC+10216    09:47:57.3820 +13.16.40.6600 J2000   3     208242 
 5    F    J1229+0203   12:29:06.6997 +02.03.08.5982 J2000   5     10836  
 7    E    J1331+3030   13:31:08.2880 +30.30.32.9589 J2000   7     5814   
  (nVis = Total number of time/baseline visibilities per field)

Spectral Windows: (2 unique spectral windows and 1 unique polarization setups) 

 SpwID  #Chans Frame Ch1(MHz)    ChanWid(kHz)TotBW(kHz)  Ref(MHz)    Corrs           
 0          64 TOPO  36387.2295  125         8000        36387.2295  RR  RL  LR  LL  
 1          64 TOPO  36304.542   125         8000        36304.542   RR  RL  LR  LL

Sources: 10 

 ID   Name         SpwId RestFreq(MHz)  SysVel(km/s) 
 0    J1008+0730   0     0.03639232     -0.026       
 0    J1008+0730   1     0.03639232     -0.026       
 2    J0954+1743   0     0.03639232     -0.026       
 2    J0954+1743   1     0.03639232     -0.026       
 3    IRC+10216    0     0.03639232     -0.026       
 3    IRC+10216    1     0.03639232     -0.026       
 5    J1229+0203   0     0.03639232     -0.026       
 5    J1229+0203   1     0.03639232     -0.026       
 7    J1331+3030   0     0.03639232     -0.026       
 7    J1331+3030   1     0.03639232     -0.026

Antennas: 19: 

 ID   Name  Station   Diam.    Long.         Lat.         
 0    ea01  W09       25.0 m   -107.37.25.2  +33.53.51.0  
 1    ea02  E02       25.0 m   -107.37.04.4  +33.54.01.1  
 2    ea03  E09       25.0 m   -107.36.45.1  +33.53.53.6  
 3    ea04  W01       25.0 m   -107.37.05.9  +33.54.00.5  
 4    ea05  W08       25.0 m   -107.37.21.6  +33.53.53.0  
 5    ea07  N06       25.0 m   -107.37.06.9  +33.54.10.3  
 6    ea08  N01       25.0 m   -107.37.06.0  +33.54.01.8  
 7    ea09  E06       25.0 m   -107.36.55.6  +33.53.57.7  
 8    ea12  E08       25.0 m   -107.36.48.9  +33.53.55.1  
 9    ea15  W06       25.0 m   -107.37.15.6  +33.53.56.4  
 10   ea19  W04       25.0 m   -107.37.10.8  +33.53.59.1  
 11   ea20  N05       25.0 m   -107.37.06.7  +33.54.08.0  
 12   ea21  E01       25.0 m   -107.37.05.7  +33.53.59.2  
 13   ea22  N04       25.0 m   -107.37.06.5  +33.54.06.1  
 14   ea23  E07       25.0 m   -107.36.52.4  +33.53.56.5  
 15   ea24  W05       25.0 m   -107.37.13.0  +33.53.57.8  
 16   ea25  N02       25.0 m   -107.37.06.2  +33.54.03.5  
 17   ea27  E03       25.0 m   -107.37.02.8  +33.54.00.5  
 18   ea28  N08       25.0 m   -107.37.07.5  +33.54.15.8


Look at a graphical plot of the antenna locations and save hardcopy in case you want it later.

plotants(vis='day2_TDEM0003_10s_norx',figfile='ant_locations.png')

plotms(vis='day2_TDEM0003_10s_norx', 

      xaxis='time',yaxis='amp',correlation='RR,LL',
      avgchannel='64',spw='0:4~60')

Zoom in on the region near zero for sources J0954+1743 and IRC+1-216 Look for the low values. Use the Mark and locate buttons to see which antenna it is: ea12 Now zoom further to see the time range: 03:41:00~04:10:00

Check the other sideband by changing spw to 1:4~60. You will have to rezoom. If you have trouble click on Marck icon and then back to zoom. In spw=1, ea07 is bad from the begining until after next pointing run: 03:21:40~04:10:00

Now try setting !ea07 in the antenna parameter, this removes ea07 from the plot allowing you to see that ea12 is also bad during the same time range as for spw 0

We can set up a flagging command to get both bad antennas for the appropriate time/spw

flagdata(vis='day2_TDEM0003_10s_norx', 

        field=['2,3','2,3'],
        spw=[,'1'],
        antenna=['ea12','ea07'],
        timerange=['03:41:00~04:10:00','03:21:40~04:10:00'])

Note because timerange is set, the field parameter is not really needed here -- the time range is limited to these fields, but flagdata will run fastest if you put as many constraints as possible.

Now remove the !ea07 from antenna and replot both spw, zooming in to be sure that all obviously low points are gone. Also zoom in and check 3C286, J1229+0203 is already obvious because it is so bright.

Lets look more closely at IRC+10216

plotms(vis='day2_TDEM0003_10s_norx',field='3', 

      xaxis='time',yaxis='amp',correlation='RR,LL',
      avgchannel='64',spw='0~1:4~60')

Go to the "display" tab and chose colorize by spw. You can see a that there are some noisy high points. But now try

plotms(vis='day2_TDEM0003_10s_norx',field='3', 

      xaxis='uvdist',yaxis='amp',correlation='RR,LL',
      avgchannel='64',spw='0~1:4~60')

Most of the high points on IRC+10216 are due to large scale emission on short baselines, but there is still some noisy stuff -- do a locate, to see that antenna ea21 looks suspecious, you can set antenna=!ea21 to see the effect of removing it. The rest of the scatter does not appear associated with a particular antenna or time. We will wait until later to decide what to do about it. If its really bad, it we won't be able to get a good calibration for it.


                        1. Set the Flux Calibrator ############

setjy(vis='day2_TDEM0003_10s_norx',field='7',spw='0', 

     modimage='/usr/lib64/casapy/data/nrao/VLA/CalModels/3C286_K.im')

setjy(vis='day2_TDEM0003_10s_norx',field='7',spw='1', 

     modimage='/usr/lib64/casapy/data/nrao/VLA/CalModels/3C286_K.im')
                        1. Bandpass #############

Before doing the bandpass we need to inspect phase and amplitude variations with time and frequency on the bandpass calibrator to decide how best to proceed. We limit the number of antennas to make the plot easier to see. We chose ea02 as it seems like a good candidate for the reference antenna.

plotms(vis='day2_TDEM0003_10s_norx',field='5', 

      xaxis='channel',yaxis='phase',correlation='RR',
      avgtime='1e8',spw='0:4~60',antenna='ea02&ea23')

The phase variation is modest ~10 degrees. Now expand to all

  1. antennas with ea02

plotms(vis='day2_TDEM0003_10s_norx',field='5', 

      xaxis='channel',yaxis='phase',correlation='RR',
      avgtime='1e8',spw='0:4~60',antenna='ea02')

Go to the "display" tab and chose colorize by antenna2. From this you can see that the phase variation across the bandpass is modest. Next check LL, and spw=1, both correlations. Also check other antennas if you like.

Now look at the phase as a function of time.

plotms(vis='day2_TDEM0003_10s_norx',field='5', 

      xaxis='time',yaxis='phase',correlation='RR',
      avgchannel='64',spw='0:4~60',antenna='ea02&ea23')


Expand to all antennas with ea02

plotms(vis='day2_TDEM0003_10s_norx',field='5', 

      xaxis='time',yaxis='phase',correlation='RR',
      avgchannel='64',spw='0:4~60',antenna='ea02')

You can see that the phase variations are smooth, but do vary significantly over the 5 minutes of observation -- in most cases by a few 10s of degrees. Zoom in to see this better if you want.

The conclusion from this investigation is that you need to correct the phase variations with time before solving for the bandpass to prevent decorrelation of the vector averaged bandpass solution. Since the phase variation as a function of channel is modest, you can average over several channels to increase the signal to noise of the phase vs. time solution. If the phase variation as a function of channel is larger you may need to use only a few channels to delay-based closure errors from averaging over non-bandpass corrected channels.


Since the bandpass calibrator is quite strong we do the phase-only solution on the integration time of 10 seconds (solint='int').

gaincal(vis='day2_TDEM0003_10s_norx',caltable='bpphase.gcal', 

       field='5',spw='0~1:20~40',
       refant='ea02',calmode='p',solint='int',minsnr=2.0)

plotcal(caltable='bpphase.gcal',xaxis='time',yaxis='phase', 

       iteration='antenna',subplot=331)


Next we can apply this phase solution on the fly while determining the bandpass solutions, solint='inf' will derive a one bandpass solution for the whole J1229+0203 scan. If there had been two observations of the bandpass calibration for example, this command would do one bandpass for each scan, if combine= (combine='scan' is the default).

bandpass(vis='day2_TDEM0003_10s_norx',caltable='bandpass.bcal',field='5', 

       refant='ea02',solint='inf',solnorm=T,
       gaintable=['bpphase.gcal'],spwmap=[[]])

This step isn't necessary from a calibration perspective, but if you want to go ahead and check the bandpass calibration on the bandpass calibrator you can run applycal here. In future we hope to plot corrected data on-the-fly without this applycal step. Later applycals will overwrite this one, so no need to worry.

applycal(vis='day2_TDEM0003_10s_norx',field='5', 

       gaintable=['bandpass.bcal'],
       spwmap=[[]],gainfield=['5'])

plotcal(caltable='bandpass.bcal',xaxis='chan',yaxis='amp', 

       iteration='antenna',subplot=331)

plotcal(caltable='bandpass.bcal',xaxis='chan',yaxis='phase', 

       iteration='antenna',subplot=331)

Note that phases on ea12 look noiser than other antennas. This jitter could indicate bad pointing -- note ea12 had just come back in the array.

                        1. Gain Calibration ############

gaincal(vis='day2_TDEM0003_10s_norx',caltable='intphase.gcal', 

       field='2,5,7',spw='0~1:4~60',
       refant='ea02',calmode='p',solint='int',minsnr=2.0,
       gaintable=['bandpass.bcal'],spwmap=[[]])

plotcal(caltable='intphase.gcal',xaxis='time',yaxis='phase', 

       iteration='antenna',subplot=331)

gaincal(vis='day2_TDEM0003_10s_norx',caltable='scanphase.gcal', 

       field='2,5,7',spw='0~1:4~60',
       refant='ea02',calmode='p',solint='inf',minsnr=2.0,
       gaintable=['bandpass.bcal'],spwmap=[[]])

plotcal(caltable='scanphase.gcal',xaxis='time',yaxis='phase', 

       iteration='antenna',subplot=331)

gaincal(vis='day2_TDEM0003_10s_norx',caltable='amp.gcal', 

       field='2,5,7',spw='0~1:4~60',
       refant='ea02',calmode='ap',solint='inf',minsnr=2.0,
       gaintable=['bandpass.bcal','intphase.gcal'],spwmap=[[],[]])

plotcal(caltable='amp.gcal',xaxis='time',yaxis='phase', 

       iteration='antenna',subplot=331)

plotcal(caltable='amp.gcal',xaxis='time',yaxis='amp', 

       iteration='antenna',subplot=331)

fluxscale(vis='day2_TDEM0003_10s_norx',caltable='amp.gcal', 

         fluxtable='flux.cal',reference='7')


plotcal(caltable='flux.cal',xaxis='time',yaxis='amp', 

       iteration='antenna',subplot=331)
  1. fluxscale Flux density for J0954+1743 in SpW=0 is: 0.274144 +/- #0.00108416 (SNR = 252.862, nAnt= 18)
  2. fluxscale Flux density for J0954+1743 in SpW=1 is: 0.280975 +/- #0.00107734 (SNR = 260.805, nAnt= 18)
  3. fluxscale Flux density for J1229+0203 in SpW=0 is: 30.4866 +/- 0(SNR = inf, nAnt= 18)
  4. fluxscale Flux density for J1229+0203 in SpW=1 is: 30.1742 +/- 0(SNR = inf, nAnt= 18)

plotms(vis='day2_TDEM0003_10s_norx',field='5',ydatacolumn='corrected', 

      xaxis='time',yaxis='amp',correlation='RR,LL',
      avgchannel='64',spw='0:4~60',antenna=)
                        1. Applycal and Inspect ############

applycal(vis='day2_TDEM0003_10s_norx',field='2', 

       gaintable=['bandpass.bcal','intphase.gcal','flux.cal'],
       spwmap=[[],[],[]],gainfield=['5','2','2'])

applycal(vis='day2_TDEM0003_10s_norx',field='5', 

       gaintable=['bandpass.bcal','intphase.gcal','flux.cal'],
       spwmap=[[],[],[]],gainfield=['5','5','5'])

applycal(vis='day2_TDEM0003_10s_norx',field='7', 

       gaintable=['bandpass.bcal','intphase.gcal','flux.cal'],
       spwmap=[[],[],[]],gainfield=['5','7','7'])

applycal(vis='day2_TDEM0003_10s_norx',field='3', 

       gaintable=['bandpass.bcal','scanphase.gcal','flux.cal'],
       spwmap=[[],[],[]],gainfield=['5','2','2'])

Now inspect the corrected data

plotms(vis='day2_TDEM0003_10s_norx',field='5',ydatacolumn='corrected', 

      xaxis='time',yaxis='amp',correlation='RR,LL',
      avgchannel='64',spw='0:4~60',antenna=)

This source looks good

plotms(vis='day2_TDEM0003_10s_norx',field='2',ydatacolumn='corrected', 

      xaxis='time',yaxis='amp',correlation='RR,LL',
      avgchannel='64',spw='0:4~60',antenna=)

Here we see some problems, with high points. Do some mark regions and locate to find out which antennas, which spws. Pay special attention to antennas that shows some dubious behavior from the start.

What you find is that ea07 which we flagged spw=1 above, is also bad for the same timerange in spw=0. This was not obvious in the raw data, because spw=0 was adjusted by a gain attenuator, while spw=1 wasn't. So a lack of power in spw=1 will look like very low amplitudes -- not so after the adjustment made to spw=0.

ea12 needs to be flagged completely its just a bit noisy all around.

ea23 is pretty noisy during the first scans between intial and second pointing.

Because the target has resolved structure, its best to look at it as a function of uvdistance.

plotms(vis='day2_TDEM0003_10s_norx',field='3',ydatacolumn='corrected', 

      xaxis='uvdist',yaxis='amp',correlation='RR,LL',
      avgchannel='64',spw='0:4~60',antenna=)

in "display" tab chose colorize by antenna2, here you will see that the spikes are caused by a single antenna. Use, zoom, mark, and locate to see which one. Also look at spw=1.

Turns out to be ea28, to confirm, replot with antenna=!ea28, and

plotms(vis='day2_TDEM0003_10s_norx',field='3',ydatacolumn='corrected', 

      xaxis='uvdist',yaxis='amp',correlation='RR,LL',
      avgchannel='64',spw='0:4~60',antenna='ea28')

Its got issues until 2/3 through. Plot another distant antenna to compare. We will go ahead and flag it all, since its hanging far out on the north arm by itself.

These data need to be flagged and then all the calibration steps run again.

flagdata(vis='day2_TDEM0003_10s_norx', 

        field=[,],
        spw=[,],
        antenna=['ea12,ea28','ea07,ea23'],
        timerange=[,'03:21:40~04:10:00'])
                        1. Redo Calibration after more Flagging ###########

gaincal(vis='day2_TDEM0003_10s_norx',caltable='bpphase_redo.gcal', 

       field='5',spw='0~1:20~40',
       refant='ea02',calmode='p',solint='int',minsnr=2.0)

bandpass(vis='day2_TDEM0003_10s_norx',caltable='bandpass_redo.bcal', 

       field='5',
       refant='ea02',solint='inf',solnorm=T,
       gaintable=['bpphase_redo.gcal'],spwmap=[[]])

gaincal(vis='day2_TDEM0003_10s_norx',caltable='intphase_redo.gcal', 

       field='2,5,7',spw='0~1:4~60',
       refant='ea02',calmode='p',solint='int',minsnr=2.0,
       gaintable=['bandpass_redo.bcal'],spwmap=[[]])

gaincal(vis='day2_TDEM0003_10s_norx',caltable='scanphase_redo.gcal', 

       field='2,5,7',spw='0~1:4~60',
       refant='ea02',calmode='p',solint='inf',minsnr=2.0,
       gaintable=['bandpass_redo.bcal'],spwmap=[[]])

gaincal(vis='day2_TDEM0003_10s_norx',caltable='amp_redo.gcal', 

       field='2,5,7',spw='0~1:4~60',
       refant='ea02',calmode='ap',solint='inf',minsnr=2.0,
       gaintable=['bandpass_redo.bcal','intphase_redo.gcal'],
       spwmap=[[],[]])

fluxscale(vis='day2_TDEM0003_10s_norx',caltable='amp_redo.gcal', 

         fluxtable='flux_redo.cal',reference='7')
  1. fluxscale Flux density for J0954+1743 in SpW=0 is: 0.274097 +/- 0.00110645 (SNR = 247.726, nAnt= 18)
  2. fluxscale Flux density for J0954+1743 in SpW=1 is: 0.281065 +/- 0.00107598 (SNR = 261.217, nAnt= 18)
  3. fluxscale Flux density for J1229+0203 in SpW=0 is: 30.488 +/- 0 (SNR = inf, nAnt= 18)
  4. fluxscale Flux density for J1229+0203 in SpW=1 is: 30.1777 +/- 0 (SNR = inf, nAnt= 18)


applycal(vis='day2_TDEM0003_10s_norx',field='2', 

       gaintable=['bandpass_redo.bcal','intphase_redo.gcal','flux_redo.cal'],
       spwmap=[[],[],[]],gainfield=['5','2','2'])

applycal(vis='day2_TDEM0003_10s_norx',field='5', 

       gaintable=['bandpass_redo.bcal','intphase_redo.gcal','flux_redo.cal'],
       spwmap=[[],[],[]],gainfield=['5','5','5'])

applycal(vis='day2_TDEM0003_10s_norx',field='7', 

       gaintable=['bandpass_redo.bcal','intphase_redo.gcal','flux_redo.cal'],
       spwmap=[[],[],[]],gainfield=['5','7','7'])

applycal(vis='day2_TDEM0003_10s_norx',field='3', 

       gaintable=['bandpass_redo.bcal','scanphase_redo.gcal','flux_redo.cal'],
       spwmap=[[],[],[]],gainfield=['5','2','2'])

plotms(vis='day2_TDEM0003_10s_norx',field='2',ydatacolumn='corrected', 

      xaxis='time',yaxis='amp',correlation='RR,LL',
      avgchannel='64',spw='0:4~60',antenna=)


plotms(vis='day2_TDEM0003_10s_norx',field='3',ydatacolumn='corrected', 

      xaxis='time',yaxis='amp',correlation='RR,LL',
      avgchannel='64',spw='0:4~60',antenna=)
                        1. Split ############

split(vis='day2_TDEM0003_10s_norx',outputvis='day2_J0954', 

     field='2')

split(vis='day2_TDEM0003_10s_norx',outputvis='day2_IRC10216', 

     field='3')

split(vis='day2_TDEM0003_10s_norx',outputvis='day2_3C286', 

     field='7')


                          1. Clean ############
  1. clean(vis='day2_J0954',imagename='day2_J0954_mfs',
    imsize=360,cell=['0.5arcsec'],spw='0~1:5~59',
    interactive=T)
  1. clean(vis='day2_3C286',imagename='day2_3C286_mfs',
    imsize=360,cell=['0.5arcsec'],spw='0~1:5~59',
    interactive=T)

clean(vis='day2_IRC10216',imagename='day2_IRC10216_spw1.cube_r0.5', 

     imagermode='csclean',
     imsize=300,cell=['0.4arcsec'],spw='1:5~58',
     mode='velocity',interpolation='linear',
     restfreq='36.30963GHz',outframe='LSRK',
     weighting='briggs',robust=0.5,      
     interactive=T)


clean(vis='day2_IRC10216',imagename='day2_IRC10216_spw0.cube_r0.5', 

     imagermode='csclean',
     imsize=300,cell=['0.4arcsec'],spw='0:5~58',
     mode='velocity',interpolation='linear',
     restfreq='36.39232GHz',outframe='LSRK',
     weighting='briggs',robust=0.5,
     mask='HC3N_r0.5.mask',      
     interactive=F,threshold='3.0mJy',niter=100000,)


clean(vis='day2_IRC10216',imagename='day2_IRC10216_spw0.cube_r0.5', 

     imagermode='csclean',
     imsize=300,cell=['0.4arcsec'],spw='0:5~58',
     mode='velocity',interpolation='linear',
     restfreq='36.39232GHz',outframe='LSRK',
     weighting='briggs',robust=0.5,
     mask='HC3N_r0.5.mask',      
     interactive=F,threshold='3.0mJy',niter=100000,)


clean(vis='day2_IRC10216',imagename='day2_IRC10216_spw0.cube_r0.5_mulit', 

     imagermode=,
     imsize=300,cell=['0.4arcsec'],spw='0:5~58',
     mode='velocity',interpolation='linear',
     restfreq='36.39232GHz',outframe='LSRK',
     weighting='briggs',robust=0.5,
     mask='HC3N_r0.5.mask',
     multiscale = [0,25,50,75],
     interactive=F,threshold='3.0mJy',niter=10000)
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