def smoothing(m, fwhm, nest=True):
if fwhm <= 0:
return m
nside = hpf.npix2nside(len(m))
if nest:
return hps.smoothing(m[hpf.ring2nest(nside, np.arange(hpf.nside2npix(nside)))], fwhm=fwhm)[hpf.nest2ring(nside, np.arange(hpf.nside2npix(nside)))]
else:
return hps.smoothing(m, fwhm=fwhm)
def add_pix(self, order, ipix, nest=True):
"""
add a given HEALPix pixel number to the current object
"""
self._counter += 1
# force consistency to prevent too large interval array
if self._counter == 1000:
self._ensure_consistency()
self._counter = 0
from healpy import pixelfunc
if order > MOC.HPY_MAX_NORDER:
raise Exception('norder can not be greater than MOC max norder')
if not nest:
ipix = pixelfunc.ring2nest(ipix)
p1 = ipix
p2 = ipix + 1
shift = 2 * (MOC.HPY_MAX_NORDER - order)
self._interval_set.add((p1 << shift, p2 << shift))
(len(subublindex) * nt / tavg,
12 * nside_standard**2))))
average_size = nside_standard / nside
Bfile = '/home/omniscope/data/GSM_data/Bmatrix_nside%i_to_nside%i.bin' % (
nside_standard, nside)
if os.path.isfile(Bfile):
B = np.fromfile(Bfile, dtype='float32').reshape(
(12 * nside**2, 12 * nside_standard**2))
else:
B = np.zeros((12 * nside**2, 12 * nside_standard**2),
dtype='float32')
for ringpix in range(12 * nside_standard**2):
B[hpf.nest2ring(
nside,
hpf.ring2nest(nside_standard, ringpix) / average_size**2),
ringpix] = average_size**-2
B.tofile(
'/home/omniscope/data/GSM_data/Bmatrix_nside%i_to_nside%i.bin'
% (nside_standard, nside))
if nside <= 4 and nside != nside_standard:
equatorial_GSM = B.dot(equatorial_GSM_standard)
##plt.imshow(B.transpose().dot(B))
##plt.colorbar()
##plt.show()
##print "Computing BtBi...",
##sys.stdout.flush()
##rcondB = 1e-3
##BtBi = la.pinv(B.transpose().dot(B) , rcond=rcondB)#+ 10.**sigmap*np.identity(len(B[0])), rcond=rcondB)
##print "Done."
###################################plot actual errors and such, see if the gridding is too coarse
#A = np.fromfile('/home/omniscope/simulate_visibilities/data/Amatrix_%iubl_nside%i_%iby%i_redundantinfo_X5_q3x.bin'%(nUBL, nside, nt*nUBL, 12*nside**2),dtype='complex64').reshape((nUBL, nt, 12*nside**2))[subublindex,::tavg].reshape((len(subublindex) * nt/tavg, 12*nside**2))/nside**2
#ublindex = [u for u in range(len(ubls_standard)) if la.norm(ubls_standard[u]) < (nside * 299.792458 / freq)]
A_standard = np.fromfile('/home/omniscope/data/GSM_data/Amatrix_%iubl_nside%i_%iby%i_redundantinfo_X5_q3x.bin'%(nUBL, nside_standard, nt_standard*nUBL, 12*nside_standard**2),dtype='complex64').reshape((nUBL, nt_standard, 12*nside_standard**2))[subublindex, ::(tavg*nt_standard/nt)].reshape((len(subublindex)*nt/tavg, 12*nside_standard**2))
A_standard = np.concatenate((A_standard, np.fromfile('/home/omniscope/data/GSM_data/Amatrix_%iubl_nside%i_%iby%i_redundantinfo_X5_q3y.bin'%(nUBL, nside_standard, nt_standard*nUBL, 12*nside_standard**2),dtype='complex64').reshape((nUBL, nt_standard, 12*nside_standard**2))[subublindex, ::(tavg*nt_standard/nt)].reshape((len(subublindex)*nt/tavg, 12*nside_standard**2))))
average_size = nside_standard/nside
Bfile = '/home/omniscope/data/GSM_data/Bmatrix_nside%i_to_nside%i.bin'%(nside_standard,nside)
if os.path.isfile(Bfile):
B = np.fromfile(Bfile, dtype='float32').reshape((12*nside**2,12*nside_standard**2))
else:
B = np.zeros((12*nside**2,12*nside_standard**2), dtype='float32')
for ringpix in range(12*nside_standard**2):
B[hpf.nest2ring(nside, hpf.ring2nest(nside_standard, ringpix)/average_size**2), ringpix] = average_size**-2
B.tofile('/home/omniscope/data/GSM_data/Bmatrix_nside%i_to_nside%i.bin'%(nside_standard,nside))
if nside <= 4 and nside != nside_standard:
equatorial_GSM = B.dot(equatorial_GSM_standard)
##plt.imshow(B.transpose().dot(B))
##plt.colorbar()
##plt.show()
##print "Computing BtBi...",
##sys.stdout.flush()
##rcondB = 1e-3
##BtBi = la.pinv(B.transpose().dot(B) , rcond=rcondB)#+ 10.**sigmap*np.identity(len(B[0])), rcond=rcondB)
##print "Done."
##sys.stdout.flush()
##BtBi.astype('float32').tofile('/home/omniscope/data/GSM_data/BtBi_nside%i_to_nside%i.bin'%(nside_standard,nside))
#plt.imshow(np.abs(B.transpose().dot(B)))