Tibeuleu/FOC_Reduction
1
0
Fork 0
Code Issues Pull Requests Packages Projects Releases Wiki Activity

fix observation combinaison with better uncertainty propagation

Browse Source
This commit is contained in:
Thibault Barnouin
2024-07-04 14:27:43 +02:00
parent 7a15b02b04
commit ae71cb3912
1 changed files with 3 additions and 3 deletions
Download Patch File Download Diff File Expand all files Collapse all files

6
package/lib/reduction.py
View File

@@ -1463,10 +1463,10 @@ def compute_Stokes(data_array, error_array, data_mask, headers, FWHM=None, scale
U_stokes = np.sum([exp*U for exp, U in zip(all_exp, all_U_stokes)],axis=0) / all_exp.sum() U_stokes = np.sum([exp*U for exp, U in zip(all_exp, all_U_stokes)],axis=0) / all_exp.sum()
Stokes_cov = np.zeros((3, 3, I_stokes.shape[0], I_stokes.shape[1])) Stokes_cov = np.zeros((3, 3, I_stokes.shape[0], I_stokes.shape[1]))
for i in range(3): for i in range(3):
Stokes_cov[i,i] = np.sum([exp*cov for exp, cov in zip(all_exp, all_Stokes_cov[:,i,i])], axis=0) / all_exp.sum() Stokes_cov[i,i] = np.sum([exp**2*cov for exp, cov in zip(all_exp, all_Stokes_cov[:,i,i])], axis=0) / all_exp.sum()**2
for j in [x for x in range(3) if x!=i]: for j in [x for x in range(3) if x!=i]:
Stokes_cov[i,j] = np.sqrt(np.sum([exp*cov**2 for exp, cov in zip(all_exp, all_Stokes_cov[:,i,j])], axis=0) / all_exp.sum()) Stokes_cov[i,j] = np.sqrt(np.sum([exp**2*cov**2 for exp, cov in zip(all_exp, all_Stokes_cov[:,i,j])], axis=0) / all_exp.sum()**2)
Stokes_cov[j,i] = np.sqrt(np.sum([exp*cov**2 for exp, cov in zip(all_exp, all_Stokes_cov[:,j,i])], axis=0) / all_exp.sum()) Stokes_cov[j,i] = np.sqrt(np.sum([exp**2*cov**2 for exp, cov in zip(all_exp, all_Stokes_cov[:,j,i])], axis=0) / all_exp.sum()**2)
# Save values to single header # Save values to single header
header_stokes = all_header_stokes[0] header_stokes = all_header_stokes[0]