Martha starts 09.01.03

** Beam 6B is dead. No FAA radar. Otherwise all is well.
 
** The drift is 11p1 +023318          
** This is a spring drift....
** The pos file name is therefore:    pos_090103_+023318s.sav
**
-- Working in:  /home/rutados/data/idl/work/spr09/09.01.03
   cp /home/dorado13/galaxy/idlraw/09.01.03/*list* .
   gedit cal090103.list   
   gedit drift090103.list 

   >idl
   >@wasinit2
   >@alfinit

--  > callist='cal090103.list'        
   > dir='/home/dorado13/galaxy/idlraw/09.01.03' 
   > calib1,callist,dcalON,dcalOFF,dir=dir
   > help,dcalon,/st
   > calib2,dcalON,dcalOFF,ncalib
   > Any bad boards in system?
   "y" 
How many bad boards? [enter n]
: 2
Enter nbeam, npol of bad board
: 6,1
Enter nbeam, npol of bad board
: 7,1
   > help,ncalib,/st
   > save, ncalib,file='ncalib_090103.sav'    
** There are 27 cal values for this run ***
** The calibration for this run looks fine
** One high Tsys point Bm 1, another Bm 2,

--  bpdgui
   Set the list of files (upper left; use "browse"): drift090103.list.
   Enter the new calsession: calsession_090103.sav
   Enter the new runpos: pos_090103_+023318s.sav 
   set CRAT to "fit", not "median"

**The interp regions here are [3474 to 3518] **

-- restore,'pos_090103_+023318s.sav'
   help,pos
** There are 27 drifts for this run **

-- restore,'pos_090103_+023318s.sav'
-- restore,'  d214400+294831.526180333.sav'
-- flagbb,dred,cont_pt,mask,pos,GAUSAV=11,HAN=3,AGC=1,n1=0,n2=6

   save,pos,file='pos_090103_+023318s.sav'
--------------------------------------------------------------------------------

  d070927+023319.900300029.sav  q1  nada     wk radar; good data
  d071935+023318.900300031.sav  q1  1 AGC
  d072942+023318.900300033.sav  q1  nada     GPS 264-483
  d073948+023318.900300035.sav  q1  nada       
  d074955+023318.900300037.sav  q1  nada
  d080002+023318.900300039.sav  q1  nada
  d081008+023318.900300041.sav  q1  nada
  d082015+023318.900300043.sav  q1  1 AGC
  d083023+023318.900300045.sav  q1  nada
  d084031+023318.900300047.sav  q1  1 AGC
  d085038+023318.900300049.sav  q1  1 AGC
  d090045+023318.900300051.sav  q1  nada
  d091052+023318.900300053.sav  q1  nada
  d092058+023318.900300055.sav  q1  1 AGC
  d093106+023318.900300057.sav  q1  1 AGC
  d094113+023318.900300059.sav  q1  3 AGC
  d095119+023318.900300061.sav  q1  1 AGC
  d100126+023318.900300063.sav  q1  nada
  d101133+023318.900300065.sav  q1  1 AGC   GPS 584-599
  d102140+023318.900300067.sav  q1  1 AGC   GPS 0-54
  d103146+023318.900300069.sav  q1  2 AGC
  d104154+023318.900300071.sav  q1  nada
  d105201+023318.900300073.sav  q1  2 AGC
  d110209+023318.900300075.sav  q1  1 AGC   
  d111215+023318.900300077.sav  q1  1 AGC   
  d112223+023318.900300079.sav  q1  1 AGC   GPS 202-300 & 547-599
  d113230+023318.900300081.sav  q1  3 AGC   GPS 0-15

   save,pos,file='pos_090103_+023318s.sav'
   restore,'pos_090103_+023318s.sav'
   
   strip_pv,dred,cont_pt,msmooth,n1=0,n2=6,showpol=3,gausav=11,han=5,rfimod=0,units=1
   inspect,msmooth,showpol=3,nstrip=4,agc=1
   reviewbb,dred,cont_pt,mask,pos,GAUSAV=11,HAN=3,AGC=1,n1=0,n2=6

>   print,where(pos.badbox[0,0,0,2] eq 0)

** Overall this is a good dataset, with good baselines and not much rfi **