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Mauchian #1215

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merged 6 commits into from
Jul 31, 2020
Merged

Mauchian #1215

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cca2b40
Enabling the use of the Mauch(ian) primary beam model
Jul 22, 2020
63f36b4
Merge remote-tracking branch 'origin/master' into mauchian
paoloserra Jul 27, 2020
6efbf35
small fixes
paoloserra Jul 27, 2020
ded8a98
closes #1214
paoloserra Jul 27, 2020
519be85
Merge branch 'master' into mauchian
paoloserra Jul 28, 2020
500979b
Merge branch 'master' into mauchian
paoloserra Jul 29, 2020
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11 changes: 11 additions & 0 deletions caracal/schema/line_schema.yml
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Original file line number Diff line number Diff line change
Expand Up @@ -411,6 +411,17 @@ mapping:
type: bool
required: false
example: 'False'
pb_type:
desc: Choose between a Gaussian (gauss) primary beam model or the MeerKAT Mauch et al. (2020) model (mauch).
type: str
enum: ['gauss', 'mauch']
required: false
example: 'gauss'
dish_size:
desc: Dish diameter in meters. Only used in the Gaussian primary beam model
type: float
required: false
example: '13.5'

freq_to_vel:
desc: Convert the spectral axis' header keys of the line cube from frequency to velocity in the radio definition, v=c(1-obsfreq/restfreq). No change of spectra reference frame is performed.
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23 changes: 16 additions & 7 deletions caracal/workers/line_worker.py
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Original file line number Diff line number Diff line change
Expand Up @@ -127,7 +127,7 @@ def fix_specsys(filename, specframe):
del headcube['specsys']
headcube['specsys3'] = specsys3

def make_pb_cube(filename, apply_corr):
def make_pb_cube(filename, apply_corr, typ, dish_size):
if not os.path.exists(filename):
caracal.log.warn(
'Skipping primary beam cube for {0:s}. File does not exist.'.format(filename))
Expand All @@ -143,11 +143,17 @@ def make_pb_cube(filename, apply_corr):
datacube = np.repeat(datacube,
headcube['naxis3'],
axis=0) * np.abs(headcube['cdelt1'])
sigma_pb = 17.52 / (headcube['crval3'] + headcube['cdelt3'] * (
np.arange(headcube['naxis3']) - headcube['crpix3'] + 1)) * 1e+9 / 13.5 / 2.355
# sigma_pb=headcube['crval3']+headcube['cdelt3']*(np.arange(headcube['naxis3'])-headcube['crpix3']+1)
sigma_pb.resize((sigma_pb.shape[0], 1, 1))
datacube = np.exp(-datacube**2 / 2 / sigma_pb**2)
freq = (headcube['crval3'] + headcube['cdelt3'] * (
np.arange(headcube['naxis3']) - headcube['crpix3'] + 1))
if typ == 'gauss':
sigma_pb = 17.52 / (freq / 1e+9) / dish_size / 2.355
sigma_pb.resize((sigma_pb.shape[0], 1, 1))
datacube = np.exp(-datacube**2 / 2 / sigma_pb**2)
elif typ == 'mauch':
FWHM_pb = (57.5/60) * (freq / 1.5e9)**-1
FWHM_pb.resize((FWHM_pb.shape[0], 1, 1))
datacube = (np.cos(1.189 * np.pi * (datacube / FWHM_pb)) / (
1 - 4 * (1.189 * datacube / FWHM_pb)**2))**2
fits.writeto(filename.replace('image.fits','pb.fits'),
datacube, header=headcube, overwrite=True)
if apply_corr:
Expand Down Expand Up @@ -1044,7 +1050,10 @@ def worker(pipeline, recipe, config):
recipe.add(make_pb_cube,
'make pb_cube-{0:d}'.format(uu),
{'filename': image_cube_list[uu],
'apply_corr': config['pb_cube']['apply_pb'],},
'apply_corr': config['pb_cube']['apply_pb'],
'typ': config['pb_cube']['pb_type'],
'dish_size': config['pb_cube']['dish_size'],
},
input=pipeline.input,
output=pipeline.output,
label='Make primary beam cube for {0:s}'.format(image_cube_list[uu]))
Expand Down