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Niccolo` Bucciantini pointed out that what’s currently being done is only appropriate for un-normalized binary kernels (i.e., for rebinning).
The proposal is:
U -> scipy.signal.convolve2d(U, kernel) U_ERR -> numpy.sqrt(scipy.signal.convolve2d(U_ERR^2, kernel^2))
Original url: https://bitbucket.org/ixpesw/ixpeobssim/issues/604 Created on 2022-05-25T14:25:55.668204+00:00
The text was updated successfully, but these errors were encountered:
lucabaldini
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Niccolo` Bucciantini pointed out that what’s currently being done is only appropriate for un-normalized binary kernels (i.e., for rebinning).
The proposal is:
Original url: https://bitbucket.org/ixpesw/ixpeobssim/issues/604
Created on 2022-05-25T14:25:55.668204+00:00
The text was updated successfully, but these errors were encountered: