Tibeuleu/FOC_Reduction
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correct wrong gaussian smoothing function

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This commit is contained in:
Thibault Barnouin
2021-10-10 01:07:42 +02:00
parent 978ff642a4
commit d03ae5ffc5
3 changed files with 20 additions and 12 deletions
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10
src/lib/reduction.py
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@@ -863,13 +863,13 @@ def smooth_data(data_array, error_array, data_mask, headers, FWHM=1.,
for c in range(image.shape[1]):
dist_rc = np.where(data_mask, fmax, np.sqrt((r-xx)**2+(c-yy)**2))
g_rc = np.exp(-0.5*(dist_rc/stdev)**2)/(2.*np.pi*stdev**2)
smoothed[i][r,c] = (1.-data_mask[r,c])*np.sum(data_array*weight*g_rc)/np.sum(weight*g_rc)
error[i][r,c] = np.sqrt(np.sum(weight*g_rc**2))/np.sum(weight*g_rc)
smoothed[i][r,c] = (1.-data_mask[r,c])*np.sum(image*g_rc)
error[i][r,c] = np.sqrt(np.sum(error_array[i]*g_rc**2))
# Nan handling
error[i][np.isnan(smoothed)] = 0.
smoothed[i][np.isnan(smoothed)] = 0.
error[i][np.isnan(error)] = 0.
error[i][np.isnan(smoothed[i])] = 0.
smoothed[i][np.isnan(smoothed[i])] = 0.
error[i][np.isnan(error[i])] = 0.
else:
raise ValueError("{} is not a valid smoothing option".format(smoothing))