def reduce_all_cubes_for_map(mapname, lowhigh='high', **kwargs):
for dataset,maps in make_apex_cubes.datasets_2014.items():
if mapname in maps:
date = dataset[-10:]
both_directions = True
try:
make_apex_cubes.build_cube_2014(mapname,
lowhigh=lowhigh,
posang=[50,70],
datasets=[dataset],
extra_suffix='_cal{0}_lscans'.format(date),
**kwargs)
except IndexError:
both_directions = False
try:
make_apex_cubes.build_cube_2014(mapname,
lowhigh=lowhigh,
posang=[140,160],
datasets=[dataset],
extra_suffix='_cal{0}_bscans'.format(date),
**kwargs)
except IndexError:
both_directions = False
if both_directions:
fileb = os.path.join(outdir, 'APEX_H2CO_2014_{1}_{2}_cal{0}_bscans.fits'.format(date, mapname, lowhigh))
filel = os.path.join(outdir, 'APEX_H2CO_2014_{1}_{2}_cal{0}_lscans.fits'.format(date, mapname, lowhigh))
cubeb = fits.getdata(fileb)
cubel = fits.getdata(filel)
if cubeb.shape != cubel.shape:
header = FITS_tools.fits_overlap(fileb, filel)
hdb = fits.getheader(fileb)
# Add back 3rd dimension... HACK
for key in hdb:
if key[0] == 'C' and key.strip()[-1] == '3':
header[key] = hdb[key]
FITS_tools.regrid_fits_cube(fileb, outheader=header, outfilename=fileb, clobber=True)
FITS_tools.regrid_fits_cube(filel, outheader=header, outfilename=filel, clobber=True)
cubeb = fits.getdata(fileb)
cubel = fits.getdata(filel)
if cubeb.shape != cubel.shape:
log.fatal("Cube shapes don't match: {0}, {1}".format(cubeb.shape,cubel.shape))
raise ValueError
cube_comb = plait.plait_cube([cubeb,cubel], angles=[0, 90], scale=5)
cube_comb_naive = (cubeb+cubel)/2.
header = fits.getheader(fileb)
fits.PrimaryHDU(data=cube_comb,
header=header).writeto(os.path.join(outdir, '{1}_{2}_cal{0}_plait.fits'.format(date, mapname, lowhigh)),
clobber=True)
def reduce_all_cubes_for_map(mapname, lowhigh='high', **kwargs):
for dataset, maps in make_apex_cubes.datasets_2014.items():
if mapname in maps:
date = dataset[-10:]
both_directions = True
try:
make_apex_cubes.build_cube_2014(
mapname,
lowhigh=lowhigh,
posang=[50, 70],
datasets=[dataset],
extra_suffix='_cal{0}_lscans'.format(date),
**kwargs)
except IndexError:
both_directions = False
try:
make_apex_cubes.build_cube_2014(
mapname,
lowhigh=lowhigh,
posang=[140, 160],
datasets=[dataset],
extra_suffix='_cal{0}_bscans'.format(date),
**kwargs)
except IndexError:
both_directions = False
if both_directions:
fileb = os.path.join(
outdir, 'APEX_H2CO_2014_{1}_{2}_cal{0}_bscans.fits'.format(
date, mapname, lowhigh))
filel = os.path.join(
outdir, 'APEX_H2CO_2014_{1}_{2}_cal{0}_lscans.fits'.format(
date, mapname, lowhigh))
cubeb = fits.getdata(fileb)
cubel = fits.getdata(filel)
if cubeb.shape != cubel.shape:
header = FITS_tools.fits_overlap(fileb, filel)
hdb = fits.getheader(fileb)
# Add back 3rd dimension... HACK
for key in hdb:
if key[0] == 'C' and key.strip()[-1] == '3':
header[key] = hdb[key]
FITS_tools.regrid_fits_cube(fileb,
outheader=header,
outfilename=fileb,
clobber=True)
FITS_tools.regrid_fits_cube(filel,
outheader=header,
outfilename=filel,
clobber=True)
cubeb = fits.getdata(fileb)
cubel = fits.getdata(filel)
if cubeb.shape != cubel.shape:
log.fatal("Cube shapes don't match: {0}, {1}".format(
cubeb.shape, cubel.shape))
raise ValueError
cube_comb = plait.plait_cube([cubeb, cubel],
angles=[0, 90],
scale=5)
cube_comb_naive = (cubeb + cubel) / 2.
header = fits.getheader(fileb)
fits.PrimaryHDU(data=cube_comb,
header=header).writeto(os.path.join(
outdir, '{1}_{2}_cal{0}_plait.fits'.format(
date, mapname, lowhigh)),
clobber=True)
import FITS_tools
import scipy.stats
from sdpy import plait
from reduce_map_all import reduce_all_cubes_for_map
from astropy import log
from collections import defaultdict
for lowhigh in ('low', 'high'):
reduce_all_cubes_for_map('MAP_006',
lowhigh=lowhigh,
calibration_factors=defaultdict(lambda: 1))
files = glob.glob(os.path.join(paths.april2014path, '*MAP_006*scans.fits'))
for fn1, fn2 in itertools.combinations(files, 2):
header = FITS_tools.fits_overlap(fn1, fn2)
hd = fits.getheader(fn1)
# Add back 3rd dimension... HACK
for key in hd:
if key[0] == 'C' and key.strip()[-1] == '3':
header[key] = hd[key]
for fn in files:
FITS_tools.regrid_fits_cube(fn,
outheader=header,
outfilename=fn,
clobber=True)
cube530b = fits.getdata(
os.path.join(
import itertools
from astropy.io import fits
import FITS_tools
import scipy.stats
from sdpy import plait
from reduce_map_all import reduce_all_cubes_for_map
from astropy import log
from collections import defaultdict
for lowhigh in ('low','high'):
reduce_all_cubes_for_map('MAP_006', lowhigh=lowhigh, calibration_factors=defaultdict(lambda: 1))
files = glob.glob(os.path.join(paths.april2014path, '*MAP_006*scans.fits'))
for fn1,fn2 in itertools.combinations(files, 2):
header = FITS_tools.fits_overlap(fn1, fn2)
hd = fits.getheader(fn1)
# Add back 3rd dimension... HACK
for key in hd:
if key[0] == 'C' and key.strip()[-1] == '3':
header[key] = hd[key]
for fn in files:
FITS_tools.regrid_fits_cube(fn, outheader=header, outfilename=fn, clobber=True)
cube530b = fits.getdata(os.path.join(paths.april2014path, 'APEX_H2CO_2014_MAP_006_{0}_cal2014-05-30_bscans.fits'.format(lowhigh)))
cube530l = fits.getdata(os.path.join(paths.april2014path, 'APEX_H2CO_2014_MAP_006_{0}_cal2014-05-30_lscans.fits'.format(lowhigh)))
cube730b = fits.getdata(os.path.join(paths.april2014path, 'APEX_H2CO_2014_MAP_006_{0}_cal2014-07-31_bscans.fits'.format(lowhigh)))
cube730l = fits.getdata(os.path.join(paths.april2014path, 'APEX_H2CO_2014_MAP_006_{0}_cal2014-07-30_lscans.fits'.format(lowhigh)))
