def basic_detector():
# An image plane image with background=100 and object_flux=1
det = Detector(_implane_header())
n = det.header["NAXIS1"]
im = np.ones((n, n)) * 100 # background level = 100
im[n // 2 - 5:n // 2 + 5,
n // 2 - 5:n // 2 + 5] += 1 # object flux level += 1
det.hdu.data = im
return det
def test_ignores_classes_other_than_fov(self, ncpa_kwargs):
implane = ImagePlane(_implane_header())
implane.hdu.data[1, 1] = 1
ncpa = NonCommonPathAberration(**ncpa_kwargs)
new_implane = ncpa.apply_to(implane)
assert np.all(new_implane.data == implane.data)
if PLOTS:
plt.imshow(new_implane.image[:5,:5])
plt.show()
def implane_hdr():
return hdrs._implane_header()
def implane_hdr():
return _implane_header()
def basic_image_plane():
implane = ImagePlane(_implane_header())
return implane