def reduce_crosscans(map_name, lowhigh='high'):
make_apex_cubes.build_cube_2014(map_name,
lowhigh=lowhigh,
posang=[50,70],
datasets=[x
for x,y in make_apex_cubes.datasets_2014.items()
if map_name in y],
extra_suffix='_lscans')
make_apex_cubes.build_cube_2014(map_name,
lowhigh=lowhigh,
posang=[140,160],
datasets=[x
for x,y in make_apex_cubes.datasets_2014.items()
if map_name in y],
extra_suffix='_bscans')
fileb = os.path.join(outdir,
'APEX_H2CO_2014_{0}_{1}_bscans.fits'.format(map_name,
lowhigh))
filel = os.path.join(outdir,
'APEX_H2CO_2014_{0}_{1}_lscans.fits'.format(map_name,
lowhigh))
cubeb = fits.getdata(fileb)
cubel = fits.getdata(filel)
assert cubeb.shape == cubel.shape
cube_comb = plait.plait_cube([cubeb,cubel], angles=[0, 90], scale=3)
header = fits.getheader(fileb)
hdu = fits.PrimaryHDU(data=cube_comb, header=header)
hdu.writeto(os.path.join(outdir, '{0}_{1}_plait.fits'.format(map_name, 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)
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)
Play with 'plait' method for cleaning up scan artifacts for a cube region. Works great for MAP_003!
The 'scale' is actually a fourier-space scale, so smaller -> larger spatial scales
Next challenge: apply to 2013 and earlier data
"""
from shfi_otf_pipeline import make_apex_cubes
from sdpy import plait
import os
from astropy.io import fits
outdir = '/Users/adam/work/h2co/apex/april2014/'
make_apex_cubes.build_cube_2014(
'MAP_003',
lowhigh='high',
posang=[50, 70],
datasets=[
x for x, y in make_apex_cubes.datasets_2014.items() if 'MAP_003' in y
],
extra_suffix='_lscans')
make_apex_cubes.build_cube_2014(
'MAP_003',
lowhigh='high',
posang=[140, 160],
datasets=[
x for x, y in make_apex_cubes.datasets_2014.items() if 'MAP_003' in y
],
extra_suffix='_bscans')
fileb = os.path.join(outdir, 'APEX_H2CO_2014_MAP_003_high_bscans.fits')
filel = os.path.join(outdir, 'APEX_H2CO_2014_MAP_003_high_lscans.fits')
Play with 'plait' method for cleaning up scan artifacts for a cube region. Works great for MAP_003!
The 'scale' is actually a fourier-space scale, so smaller -> larger spatial scales
Next challenge: apply to 2013 and earlier data
"""
from shfi_otf_pipeline import make_apex_cubes
from sdpy import plait
import os
from astropy.io import fits
outdir = '/Users/adam/work/h2co/apex/april2014/'
make_apex_cubes.build_cube_2014('MAP_003',
lowhigh='high',
posang=[50,70],
datasets=[x
for x,y in make_apex_cubes.datasets_2014.items()
if 'MAP_003' in y],
extra_suffix='_lscans')
make_apex_cubes.build_cube_2014('MAP_003',
lowhigh='high',
posang=[140,160],
datasets=[x
for x,y in make_apex_cubes.datasets_2014.items()
if 'MAP_003' in y],
extra_suffix='_bscans')
fileb = os.path.join(outdir, 'APEX_H2CO_2014_MAP_003_high_bscans.fits')
filel = os.path.join(outdir, 'APEX_H2CO_2014_MAP_003_high_lscans.fits')
