How to obtain the "convolved data" array?

[cosmic-nori]

I want to check the numpy array of "convolved data" which is derived by sep.extract by setting filter_kernel parameter.
Is there any way to obtain the "convolved data" array? Thanks.

[kbarbary]

There isn't a way to obtain the convolved data array, because it is calculated "on the fly" one line at a time: the entire array is not stored in memory at any point. However, it should be the same as what you would get using scipy.signal.convolve(data, filter_kernel, mode="same"). (It may differ near the image boundaries a bit, not entirely sure).

[cosmic-nori]

Thank you for your answer. I tried to use scipy.signal.convolve to reproduce the convolved data array which is calculated in SEP and I found it looks fairly consistent with SEP results. (I checked the number of detected objects with the same thresholding parameters and the results differ only a little bit.)
Then I want to ask a question. In SEP, a filter_kernel is normalized by the maximum value of the array, right? (e.g., filter_kernel / np.max(filter_kernel))

[kbarbary]

It's normalized by the sum of the array, so that the normalized kernel sums to 1. The normalization is done in these lines.

[cosmic-nori]

I see, got it. Thanks!