Guang91
commented
9 months ago Dear Misty,
Thanks for trying out the super_bg code!
I never saw the kernel crash error. May I ask you to share your cal.fits files with me? (for debugging purposes only, I will delete them once this is done) I will try to see what happens if the same error is reproduced on my machine.
Cheers, Guang
On Mon, Nov 20, 2023 at 4:24 PM Misty Cracraft @.***> wrote:
I'm working on a set of MIRI data, and was trying to use the background subtraction routine(s) shown here for my program. I ran a set of data through the jwst calibration pipeline through calwebb_image2, and then fed those cal.fits files into the super_bg code, which also uses det_src code block. I copied those two functions and their necessary import statements into my notebook. I commented out the part about cleaning the edges, as that seemed to be calling code I didn't have installed, but otherwise left the functions as-is. I can read in the files fine, and it seems to start detecting sources with no problem, but then partway through, the kernel crashes. I have tried it multiple times, different days, and every time I try it, the code fails to complete and I have to start the kernel over again (jupyter kernel for my processing notebook). Other than reading out the filenames, this is all the output I get as the code is progressing: Building master background from a 11 files 32 src detected! 37 src detected! 34 src detected! 35 src detected! 36 src detected!
Do you have any ideas about what is going wrong? Do I need to be using other parts of the code that I didn't include? Related question, I'm trying this in order to compare how ceers handled errors compared to how a different type of background subtraction at the same stage does. (They don't actually touch the error arrays.) But if I can't get output, I can't compare anything.
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cracraft
I'm working on a set of MIRI data, and was trying to use the background subtraction routine(s) shown here for my program. I ran a set of data through the jwst calibration pipeline through calwebb_image2, and then fed those cal.fits files into the super_bg code, which also uses det_src code block. I copied those two functions and their necessary import statements into my notebook. I commented out the part about cleaning the edges, as that seemed to be calling code I didn't have installed, but otherwise left the functions as-is. I can read in the files fine, and it seems to start detecting sources with no problem, but then partway through, the kernel crashes. I have tried it multiple times, different days, and every time I try it, the code fails to complete and I have to start the kernel over again (jupyter kernel for my processing notebook). Other than reading out the filenames, this is all the output I get as the code is progressing: Building master background from a 11 files 32 src detected! 37 src detected! 34 src detected! 35 src detected! 36 src detected!
Do you have any ideas about what is going wrong? Do I need to be using other parts of the code that I didn't include? Related question, I'm trying this in order to compare how ceers handled errors compared to how a different type of background subtraction at the same stage does. (They don't actually touch the error arrays.) But if I can't get output, I can't compare anything.