Hi,
I’ll look at this tomorrow.
Bob

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________________________________
From: GSAS-II <[email protected]> on behalf of Gallington, Leighanne 
C. via GSAS-II <[email protected]>
Sent: Wednesday, March 16, 2022 5:18:24 PM
To: [email protected] <[email protected]>
Cc: Chen, Jiahui <[email protected]>; Weng, James <[email protected]>
Subject: [GSAS-II] GSAS-II image import int vs float

Hi Bob and Brian,

We've run into some problems when trying to import and apply gain maps, with 
values ranging from about 0.97 to 1.03, to Jiahui's data.  After doing some 
digging, I've found that when the PE images are imported, the values are 
converted from floats to integers.  As far as I can tell, the conversion is 
happening in the code snippet below, from file G2img_1TIF.py, in function 
GetTifData.

 elif sizexy == [2048,2048] or sizexy == [1024,1024] or sizexy == [3072,3072]:
        if IFD[273][2][0] == 8:
            if IFD[258][2][0] == 32:
                tifType = 'PE'
                pixy = [200.,200.]
                File.seek(8)
                G2fil.G2Print ('Read APS PE-detector tiff file: '+filename)
                if dataType == 5:
                    image = 
np.array(np.frombuffer(File.read(4*Npix),dtype=np.float32),dtype=np.int32)  
#fastest
                else:
                    image = 
np.array(np.frombuffer(File.read(4*Npix),dtype=np.int32),dtype=np.int32)

If I change the np.int32 to np.float32, the gain map can be read in, applied to 
data, and integrated successfully.  I'm not sure what else I might have broken 
downstream when I do that, and there's still some funkiness with the slider 
bars for the intensities.  Can you implement a cleaner fix into the G2img code?

Thanks,
Leighanne
--
Leighanne C. Gallington, Ph.D.
Assistant Chemist
Advanced Photon Source (X-ray Science Division)
Argonne National Laboratory
Argonne, IL  60439
[email protected]
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