#Notes:
#scan numbers (zero-based) as compared to GBTIDL
#changes made to get to IRC+10216_rawACSmod
# -- merge spectral windows with tolerance
s = sd.scantable('IRC+10216_rawACSmod', False)#load the data without averaging # filein,'IRC.raw.fits'
#Cannot find any matching Tcal at/near the data timestamp. Set Tcal=0.0
#s.summary() #summary info # summary
# fileout,'IRC+10216.reduced.fits'
s.set_fluxunit('K') # make 'K' default unit
#scal = sd.calnod(s, [236,237,238,239,248,249,250,251]) # Calibrate HC3N scans # for i=237,240,2 do begin getps,i,ifnum=0,plnum=0,units='Ta*',
scal = sd.calnod(s, [237,238,239,240,249,250,251,252]) # Calibrate HC3N scans # for i=237,240,2 do begin getps,i,ifnum=0,plnum=0,units='Ta*',
del s # remove s from memory
# recalculate az/el (NOT needed for GBT data)
antennaname = scal.get_antennaname()
if ( antennaname != 'GBT'): scal.recalc_azel() # recalculate az/el to # tau=0.09 & accum & getps, i, ifnum=0,plnum=1,units='Ta*',
scal.opacity(0.09) # do opacity correction # tau=0.09 & accum & end & ave
sel = sd.selector() # Prepare a selection # copy,0,9
sel.set_ifs(17) # select HC3N IF # for i=250,252,2 do begin getps,i,ifnum=0,plnum=0,units='Ta*',
scal.set_selection(sel) # get this IF # tau=0.09 & accum & getps, i, ifnum=0,plnum=1,units='Ta*',
stave = sd.average_time(scal, weight='tintsys') # average in time # tau=0.09 & accum & end & ave
spave = stave.average_pol(weight='tsys') # average polarizations;Tsys-weighted average # accum
sd.plotter.plot(spave) # plot # copy,9,0
# accum
# do some smoothing
spave.smooth('boxcar', 5) # boxcar 5 # boxcar,5
spave.auto_poly_baseline(order=2, threshold=5, chan_avg_limit=4) # baseline fit order=2 # nfit,2
#Notes:
#scan numbers (zero-based) as compared to GBTIDL
#changes made to get to IRC+10216_rawACSmod
# -- merge spectral windows with tolerance
s = sd.scantable('IRC+10216_rawACSmod', False)#load the data without averaging # filein,'IRC.raw.fits'
#Cannot find any matching Tcal at/near the data timestamp. Set Tcal=0.0
#s.summary() #summary info # summary
# fileout,'IRC+10216.reduced.fits'
s.set_fluxunit('K') # make 'K' default unit
#scal = sd.calnod(s, [229,230]) # Calibrate CS scans # for i=230,231,2 do begin getps,i,ifnum=3,plnum=0,units='Ta*',
scal = sd.calnod(s, [230, 231]) # Calibrate CS scans # for i=230,231,2 do begin getps,i,ifnum=3,plnum=0,units='Ta*',
del s # remove s from memory
# recalculate az/el (NOT needed for GBT data)
antennaname = scal.get_antennaname()
if ( antennaname != 'GBT'): scal.recalc_azel() # recalculate az/el to # tau=0.09 & accum & getps, i, ifnum=3,plnum=1,units='Ta*',
scal.opacity(0.09) # do opacity correction # tau=0.09 & accum & end & ave
sel = sd.selector() # Prepare a selection #
sel.set_ifs(3) # select CS IF #
scal.set_selection(sel) # get this IF #
stave = sd.average_time(scal, weight='tintsys') # average in time #
spave = stave.average_pol(weight='tsys') # average polarizations;Tsys-weighted average #
sd.plotter.plot(spave) # plot #
#
# do some smoothing #
spave.smooth('boxcar', 5) # boxcar 5 # boxcar,5
spave.auto_poly_baseline(order=1, threshold=5, chan_avg_limit=4) # baseline fit order=2 # nregion,[200,1500,2600,3500]
#changes made to get to IRC+10216_rawACSmod
# -- merge spectral windows with tolerance
s = sd.scantable(
'IRC+10216_rawACSmod',
False) #load the data without averaging # filein,'IRC.raw.fits'
#Cannot find any matching Tcal at/near the data timestamp. Set Tcal=0.0
#s.summary() #summary info # summary
# fileout,'IRC+10216.reduced.fits'
s.set_fluxunit('K') # make 'K' default unit
#scal = sd.calnod(s, [229,230]) # Calibrate CS scans # for i=230,231,2 do begin getps,i,ifnum=3,plnum=0,units='Ta*',
scal = sd.calnod(
s, [230, 231]
) # Calibrate CS scans # for i=230,231,2 do begin getps,i,ifnum=3,plnum=0,units='Ta*',
del s # remove s from memory
# recalculate az/el (NOT needed for GBT data)
antennaname = scal.get_antennaname()
if (antennaname != 'GBT'):
scal.recalc_azel(
) # recalculate az/el to # tau=0.09 & accum & getps, i, ifnum=3,plnum=1,units='Ta*',
scal.opacity(0.09) # do opacity correction # tau=0.09 & accum & end & ave
sel = sd.selector() # Prepare a selection #
sel.set_ifs(3) # select CS IF #
scal.set_selection(sel) # get this IF #
stave = sd.average_time(scal, weight='tintsys') # average in time #
spave = stave.average_pol(
weight='tsys') # average polarizations;Tsys-weighted average #
sd.plotter.plot(spave) # plot #
#Notes:
#scan numbers (zero-based) as compared to GBTIDL
#changes made to get to IRC+10216_rawACSmod
# -- merge spectral windows with tolerance
s = sd.scantable('IRC+10216_rawACSmod', False)#load the data without averaging # filein,'IRC.raw.fits'
#Cannot find any matching Tcal at/near the data timestamp. Set Tcal=0.0
#s.summary() #summary info # summary
# fileout,'IRC+10216.reduced.fits'
s.set_fluxunit('K') # make 'K' default unit
#scal = sd.calnod(s, [240,241,242,243,244,245,246,247]) # Calibrate SiO scans # for i=241,248,2 do begin getps,i,ifnum=0,plnum=0,units='Ta*',
scal = sd.calnod(s, [241,242,243,244,245,246,247,248]) # Calibrate SiO scans # for i=241,248,2 do begin getps,i,ifnum=0,plnum=0,units='Ta*',
del s # remove s from memory
# recalculate az/el (NOT needed for GBT data)
antennaname = scal.get_antennaname()
if ( antennaname != 'GBT'): scal.recalc_azel() # recalculate az/el to # tau=0.09 & accum & getps, i, ifnum=0,plnum=1,units='Ta*',
scal.opacity(0.09) # do opacity correction # tau=0.09 & accum & end & ave
sel = sd.selector() # Prepare a selection #
sel.set_ifs(30) # select SiO IF #
scal.set_selection(sel) # get this IF #
stave = sd.average_time(scal, weight='tintsys') # average in time #
spave = stave.average_pol(weight='tsys') # average polarizations;Tsys-weighted average #
sd.plotter.plot(spave) # plot #
#
# do some smoothing
spave.smooth('boxcar', 5) # boxcar 5 # boxcar,5
spave.auto_poly_baseline(order=1, threshold=5, chan_avg_limit=4) # baseline fit order=2 # nregion,[200,1500,2600,3500]
