def __init__(self, cube, beam=None, mask=None, method="MAD", compute=True):
# Initialize cube object
self.cube = SpectralCube.read(cube)
if mask is not None:
_check_mask(mask)
self.mask = mask
if beam is not None:
_check_beam(mask)
# Initialize noise object
self.noise = Noise(self.cube, beam=beam, method=method)
def __init__(self, cube, mask=None, algorithm=None, beam=None):
super(ObsCube, self).__init__()
self.cube = sc.SpectralCube.read(cube)
self.algorithm = algorithm
# Make sure mask is an accepted type
if mask is not None:
_check_mask(mask)
self.mask = mask
if beam is not None:
_check_beam(beam)
self.noise = Noise(self.cube, beam=beam)
def __init__(self, cube, mask=None, algorithm=None, beam=None):
super(ObsCube, self).__init__()
self.cube = sc.SpectralCube.read(cube)
self.algorithm = algorithm
# Make sure mask is an accepted type
if mask is not None:
_check_mask(mask)
self.mask = mask
if beam is not None:
_check_beam(beam)
self.noise = Noise(self.cube, beam=beam)
def __init__(self, cube, mask=None, algorithm=None, beam=None):
raise NotImplementedError("ObsCube is not yet implemented for "
"general use.")
super(ObsCube, self).__init__()
self.cube = SpectralCube.read(cube)
self.algorithm = algorithm
# Make sure mask is an accepted type
if mask is not None:
_check_mask(mask)
self.mask = mask
if beam is not None:
_check_beam(beam)
self.noise = Noise(self.cube, beam=beam)
def apply_mask(self, mask=None):
'''
Check if the given mask is acceptable abd apply to
SpectralCube.
'''
# Update mask
if mask is not None:
_check_mask(mask)
self.mask = mask
# Create the mask, auto masking nan values
default_mask = np.isfinite(self.cube.filled_data[:])
if self.mask is not None:
self.mask = CompositeMask(default_mask, self.mask)
else:
self.mask = default_mask
# Apply mask to spectral cube object
self.cube = self.cube.with_mask(mask)
return self
def apply_mask(self, mask=None):
'''
Check if the given mask is acceptable abd apply to
SpectralCube.
'''
# Update mask
if mask is not None:
_check_mask(mask)
self.mask = mask
# Create the mask, auto masking nan values
default_mask = np.isfinite(self.cube.filled_data[:])
if self.mask is not None:
self.mask = CompositeMask(default_mask, self.mask)
else:
self.mask = default_mask
# Apply mask to spectral cube object
self.cube = self.cube.with_mask(mask)
return self
def __init__(self,
cube,
beam=None,
mask=None,
method="MAD",
compute=True):
raise NotImplementedError("SimCube is not yet implemented for "
"general use.")
# Initialize cube object
self.cube = SpectralCube.read(cube)
if mask is not None:
_check_mask(mask)
self.mask = mask
if beam is not None:
_check_beam(mask)
# Initialize noise object
self.noise = Noise(self.cube, beam=beam, method=method)
