Esempio n. 1
0
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)
Esempio n. 2
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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)
Esempio n. 3
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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)
    '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')

cubeb = fits.getdata(fileb)
cubel = fits.getdata(filel)
assert cubeb.shape == cubel.shape

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('MAP_003_high_plait.fits'),
                                       clobber=True)
fits.PrimaryHDU(data=cube_comb_naive,
                header=header).writeto(os.path.join(outdir,
                                                    'MAP_003_high_naive.fits'),
                                       clobber=True)
fits.PrimaryHDU(data=cube_comb_naive - cube_comb,
                header=header).writeto(os.path.join(outdir,
                                                    'MAP_003_high_diff.fits'),
                                       clobber=True)
Esempio n. 5
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            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)))

    cube730comb = plait.plait_cube([cube730b, cube730l],
                                   angles=[0, 90],
                                   scale=5)
    cube530comb = plait.plait_cube([cube530b, cube530l],
                                   angles=[0, 90],
                                   scale=5)

    import pylab as pl
    fig2 = pl.figure(2)
    fig2.clf()
    ax2 = fig2.gca()
    ax2.grid()

    data = []
    for threshold in np.logspace(-0.6, 1.1, 10):
        mask = (cube530comb > threshold) & (cube730comb > threshold)
        if not np.any(mask):
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')

cubeb = fits.getdata(fileb)
cubel = fits.getdata(filel)
assert cubeb.shape == cubel.shape

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('MAP_003_high_plait.fits'), clobber=True)
fits.PrimaryHDU(data=cube_comb_naive, header=header).writeto(os.path.join(outdir, 'MAP_003_high_naive.fits'), clobber=True)
fits.PrimaryHDU(data=cube_comb_naive-cube_comb, header=header).writeto(os.path.join(outdir, 'MAP_003_high_diff.fits'), clobber=True)

import pylab as pl
pl.figure(1, figsize=(12,12))
pl.clf()
for ii,scale in enumerate((1,5,10)):
    cube_comb = plait.plait_cube([cubeb,cubel], angles=[0, 90], scale=scale)
    integ_plait = cube_comb[900:990,:,:].mean(axis=0)
    integ_naive = cube_comb_naive[900:990,:,:].mean(axis=0)
    integ_plait = cube_comb[2515:2605,:,:].mean(axis=0)
Esempio n. 7
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    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)))

    cube730comb = plait.plait_cube([cube730b,cube730l], angles=[0, 90], scale=5)
    cube530comb = plait.plait_cube([cube530b,cube530l], angles=[0, 90], scale=5)


    import pylab as pl
    fig2 = pl.figure(2)
    fig2.clf()
    ax2 = fig2.gca()
    ax2.grid()

    data = []
    for threshold in np.logspace(-0.6,1.1,10):
        mask = (cube530comb>threshold)&(cube730comb>threshold)
        if not np.any(mask):
            log.info("Skip threshold {0} for {1} because no data".format(threshold, lowhigh))
            continue