def get_projected_map(self, header):
map_shape = (header["naxis2"], header["naxis1"])
iy, ix = np.indices(map_shape)
wcs = pywcs.WCS(header)
phi, theta = wcs.wcs_pix2sky(ix, iy, 0)
if self._coord is not None:
from pywcsgrid2.wcs_helper import coord_system_guess, sky2sky
map_coord = coord_system_guess(header["ctype1"],
header["ctype2"],
equinox=header["equinox"])
if (map_coord is not None) and (map_coord != self._coord):
warnings.warn(" doing the conversion " + map_coord)
phi, theta = sky2sky(map_coord, self._coord)(phi, theta)
if self._flipy:
theta -= 90
theta *= -np.pi/180.
else:
theta += 90
theta *= np.pi/180.
phi *= np.pi/180
if self._nested:
ang2pix = healpy._healpy_pixel_lib._ang2pix_nest
else:
ang2pix = healpy._healpy_pixel_lib._ang2pix_ring
# some values could be NaNs. Maske those out before calling
# ang2pix and recover them.
mask = np.isfinite(theta) & np.isfinite(theta)
ipix = ang2pix(self._nside, theta[mask], phi[mask])
map_data_ = self._data[ipix]
map_data = np.empty(map_shape, dtype=map_data_.dtype)
map_data.fill(np.nan)
map_data.flat[mask] = map_data_
return map_data
def get_projected_map(self, header):
map_shape = (header["naxis2"], header["naxis1"])
iy, ix = np.indices(map_shape)
wcs = pywcs.WCS(header)
phi, theta = wcs.wcs_pix2sky(ix, iy, 0)
if self._coord is not None:
from pywcsgrid2.wcs_helper import coord_system_guess, sky2sky
map_coord = coord_system_guess(header["ctype1"],
header["ctype2"],
equinox=header["equinox"])
if (map_coord is not None) and (map_coord != self._coord):
warnings.warn(" doing the conversion " + map_coord)
phi, theta = sky2sky(map_coord, self._coord)(phi, theta)
if self._flipy:
theta -= 90
theta *= -np.pi / 180.
else:
theta += 90
theta *= np.pi / 180.
phi *= np.pi / 180
if self._nested:
ang2pix = healpy._healpy_pixel_lib._ang2pix_nest
else:
ang2pix = healpy._healpy_pixel_lib._ang2pix_ring
# some values could be NaNs. Maske those out before calling
# ang2pix and recover them.
mask = np.isfinite(theta) & np.isfinite(theta)
ipix = ang2pix(self._nside, theta[mask], phi[mask])
map_data_ = self._data[ipix]
map_data = np.empty(map_shape, dtype=map_data_.dtype)
map_data.fill(np.nan)
map_data.flat[mask] = map_data_
return map_data
def get_projected_map(self, header):
map_shape = (header["naxis2"], header["naxis1"])
iy, ix = np.indices(map_shape)
wcs = pywcs.WCS(header)
phi, theta = wcs.wcs_pix2sky(ix, iy, 0)
if self._coord is not None:
from pywcsgrid2.wcs_helper import coord_system_guess, sky2sky
map_coord = coord_system_guess(header["ctype1"],
header["ctype2"],
equinox=header["equinox"])
if (map_coord is not None) and (map_coord != self._coord):
warnings.warn(" doing the conversion " + map_coord)
phi, theta = sky2sky(map_coord, self._coord)(phi, theta)
if self._flipy:
theta -= 90
theta *= -np.pi/180.
else:
theta += 90
theta *= np.pi/180.
phi *= np.pi/180
if self._nested:
ang2pix = healpy._healpy_pixel_lib._ang2pix_nest
else:
ang2pix = healpy._healpy_pixel_lib._ang2pix_ring
ipix = ang2pix(self._nside, theta, phi)
map_data = self._data[ipix].reshape(map_shape)
return map_data
