pro fa_load_esa_l1,dtype,datatype=datatype,type=type, $
filenames=filenames, $
tplot=tplot, $
download_only=download_only, $
no_flag=no_flag
if keyword_set(dtype) then type=dtype
if NOT keyword_set(tplot) then tplot=0
fa_esa_init
if keyword_set(datatype) then begin
type=datatype
endif else begin
if NOT keyword_set(type) then type=['ees','ies','eeb','ieb']
endelse
if n_elements(type) GT 1 then begin
for i=0,n_elements(type)-1 do fa_load_esa_l1,type=type[i],tplot=tplot
return
endif
case strlowcase(type) of
'ees': begin
data_name='Eesa Survey'
end
'eeb': begin
data_name='Eesa Burst'
end
'ies': begin
data_name='Iesa Survey'
end
'ieb': begin
data_name='Iesa Burst'
end
else: begin
print,'Error @ fa_load_esa_l1.pro: Invalid Input Type'
return
end
endcase
vxx='v'+fa_config('version','l1_'+type)
if NOT keyword_set(filenames) then begin
trange=timerange()
start_orbit=long(fa_time_to_orbit(trange[0]))
end_orbit=long(fa_time_to_orbit(trange[1]))
orbits=indgen(end_orbit-start_orbit+1)+start_orbit
orbits_str=strcompress(string(orbits,format='(i05)'),/remove_all)
orbit_dir=strmid(orbits_str,0,2)+'000'
relpathnames='l1/'+type+'/'+orbit_dir+'/fa_l1_'+type+'_'+orbits_str+'_'+vxx+'.cdf'
filenames=file_retrieve(relpathnames,_extra=!fast)
endif
if keyword_set(download_only) then return
for i=0,n_elements(filenames)-1 do begin
if file_test(filenames[i]) EQ 0 then begin
print,'Warning: '+filenames[i]+' does not exist!'
filenames[i]=''
endif
endfor
where_files=where(filenames NE '')
if where_files[0] EQ -1 then begin
return
endif
filenames=filenames[where_files]
print,filenames
for j=0,n_elements(filenames)-1 do begin
cdf_var=['TIME','END_TIME', $
'INTEG_T','DELTA_T', $
'NBINS','NENERGY', $
'GEOM_FACTOR', $
'DATA_IND','GF_IND','BINS_IND','MODE_IND', $
'THETA_SHIFT','THETA_MAX','THETA_MIN', $
'SC_POT','BKG', $
'DATA0','DATA1','DATA2', $
'ENERGY','BINS','THETA', $
'GF', $
'DENERGY','DTHETA', $
'EFF','DEAD','MASS','CHARGE', $
'BKG_ARR', $
'HEADER_BYTES']
cdf_load_ptr,filenames[j],cdf_var,ptr_array
time=*(ptr_array[0])
end_time=*(ptr_array[1])
integ_t=*(ptr_array[2])
delta_t=*(ptr_array[3])
nbins=*(ptr_array[4])
nenergy=*(ptr_array[5])
geom_factor=*(ptr_array[6])
data_ind=*(ptr_array[7])
gf_ind=*(ptr_array[8])
bins_ind=*(ptr_array[9])
mode_ind=*(ptr_array[10])
theta_shift=*(ptr_array[11])
theta_max=*(ptr_array[12])
theta_min=*(ptr_array[13])
sc_pot=*(ptr_array[14])
bkg=*(ptr_array[15])
data0=*(ptr_array[16])
data1=*(ptr_array[17])
data2=*(ptr_array[18])
energy=*(ptr_array[19])
bins=*(ptr_array[20])
theta=*(ptr_array[21])
gf=*(ptr_array[22])
denergy=*(ptr_array[23])
dtheta=*(ptr_array[24])
eff=*(ptr_array[25])
dead=*(ptr_array[26])
mass=*(ptr_array[27])
charge=*(ptr_array[28])
bkg_arr=*(ptr_array[29])
header_bytes=*(ptr_array[30])
heap_free,ptr_array
ntimes=n_elements(time)
data_quality=bytarr(ntimes)
if NOT keyword_set(no_flag) then begin
for k=0l,ntimes-1 do begin
case mode_ind[k] of
0: if ((where(data0[*,*,data_ind[k]] EQ 255))[0] EQ -1) $
then data_quality[k]=0 $
else data_quality[k]=2
1: if ((where(data1[*,*,data_ind[k]] EQ 255))[0] EQ -1) $
then data_quality[k]=0 $
else data_quality[k]=2
2: if ((where(data2[*,*,data_ind[k]] EQ 255))[0] EQ -1) $
then data_quality[k]=0 $
else data_quality[k]=2
else: begin
print,'Data Quality Error @ fa_load_esa_l1.pro'
data_quality[k]=0
end
endcase
endfor
endif
all_dat_tmp={project_name:'FAST', $
data_name:data_name, $
data_level:'Level 1', $
units_name:'Compressed', $
units_procedure:'fa_convert_esa_units', $
valid:bytarr(ntimes)+1, $
data_quality:data_quality, $
time:time, $
end_time:end_time, $
integ_t:integ_t, $
delta_t:delta_t, $
nbins:nbins, $
nenergy:nenergy, $
geom_factor:geom_factor, $
data_ind:data_ind, $
gf_ind:gf_ind, $
bins_ind:bins_ind, $
mode_ind:mode_ind, $
theta_shift:theta_shift, $
theta_max:theta_max, $
theta_min:theta_min, $
bkg:bkg, $
data0:data0, $
data1:data1, $
data2:data2, $
energy:energy, $
bins:bins, $
theta:theta, $
gf:gf, $
denergy:denergy, $
dtheta:dtheta, $
eff:eff, $
dead:dead, $
mass:mass, $
charge:charge, $
sc_pot:sc_pot, $
bkg_arr:bkg_arr, $
header_bytes:header_bytes}
if NOT keyword_set(all_dat) then begin
all_dat=all_dat_tmp
endif else begin
all_dat=fa_esa_append_l1(all_dat,all_dat_tmp)
endelse
endfor
case strlowcase(type) of
'ees': begin
common fa_ees_l1, get_ind_ees, all_dat_ees
all_dat_ees=all_dat
get_ind_ees=0l
end
'eeb': begin
common fa_eeb_l1, get_ind_eeb, all_dat_eeb
all_dat_eeb=all_dat
get_ind_eeb=0l
end
'ies': begin
common fa_ies_l1, get_ind_ies, all_dat_ies
all_dat_ies=all_dat
get_ind_ies=0l
end
'ieb': begin
common fa_ieb_l1, get_ind_ieb, all_dat_ieb
all_dat_ieb=all_dat
get_ind_ieb=0l
end
endcase
if keyword_set(tplot) then begin
if size(tplot,/type) EQ 7 then begin
if (where(strlowcase(type) EQ strlowcase(tplot)))[0] EQ -1 then return
endif
ntimes=n_elements(all_dat.time)
common fa_information,info_struct
case strlowcase(type) of
'ees': ccvt=info_struct.byteto16_map
'eeb': ccvt=info_struct.byteto14_map
'ies': ccvt=info_struct.byteto16_map
'ieb': ccvt=info_struct.byteto14_map
else: begin
print,'COMPRESSED/COUNTS CONVERSION ERROR'
return
end
endcase
data_tplot=fltarr(ntimes,96)
energy_tplot=fltarr(ntimes,96)
for i=0,ntimes-1 do begin
if all_dat.mode_ind[i] EQ 0 then begin
data_tplot[i,0:47]=total(ccvt(all_dat.data0[*,*,all_dat.data_ind[i]]),2)/(all_dat.integ_t[i]*all_dat.nbins[i])
energy_tplot[i,*]=all_dat.energy[*,0,0]
endif
if all_dat.mode_ind[i] EQ 1 then begin
data_tplot[i,0:47]=total(ccvt(all_dat.data1[*,*,all_dat.data_ind[i]]),2)/(all_dat.integ_t[i]*all_dat.nbins[i])
energy_tplot[i,*]=all_dat.energy[*,0,1]
endif
if all_dat.mode_ind[i] EQ 2 then begin
data_tplot[i,0:95]=total(ccvt(all_dat.data2[*,*,all_dat.data_ind[i]]),2)/(all_dat.integ_t[i]*all_dat.nbins[i])
energy_tplot[i,*]=all_dat.energy[*,0,2]
endif
endfor
data_tplot=data_tplot>1.e-10
name_o_tplot='fa_'+type+'_l1_en_quick'
store_data,name_o_tplot,data={x:(all_dat.time+all_dat.end_time)/2,y:data_tplot,v:energy_tplot}
zlim,name_o_tplot,1.e1,1.e6,1
ylim,name_o_tplot,5.,40000.,1
options,name_o_tplot,'ztitle','Rate'
options,name_o_tplot,'ytitle',type+': eV'
options,name_o_tplot,'spec',1
options,name_o_tplot,'x_no_interp',1
options,name_o_tplot,'y_no_interp',1
options,name_o_tplot,datagap=5
endif
return
end