56 lines
2.3 KiB
Python
56 lines
2.3 KiB
Python
f1=open_image("/sls/X11MA/data/X11MA/Data1/public/PEEM/2022_11/20221111/20221111_Two_Pol/i221111_006/i221111_006#002.tif")
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f2=open_image("/sls/X11MA/data/X11MA/Data1/public/PEEM/2022_11/20221111/20221111_Two_Pol/i221111_006_corr/ci221111_006#002.tif")
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"""
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f1=load_image("/sls/X11MA/data/X11MA/Data1/public/PEEM/2022_11/20221109/20221109_Take_Image/i221109_019/i221109_019#002.tif")
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f2=load_image("/sls/X11MA/data/X11MA/Data1/public/PEEM/2022_11/20221109/20221109_Take_Image/i221109_019_shifted/i221109_019#002.tif")
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f1 = load_image("/sls/X11MA/data/X11MA/Data1/public/PEEM/2022_11/20221109/20221109_Two_Energies/i221109_034/i221109_034#002.tif")
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f2 = load_image("/sls/X11MA/data/X11MA/Data1/public/PEEM/2022_11/20221109/20221109_Two_Energies/i221109_034_shifted/i221109_034#002.tif")
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f1 = load_image("/sls/X11MA/data/X11MA/Data1/public/PEEM/2022_11/20221110/20221110_17909_AbsortionSpectrum/1/s17909_001.tif")
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f2 = load_image("/sls/X11MA/data/X11MA/Data1/public/PEEM/2022_11/20221110/20221110_17909_AbsortionSpectrum/1_corr/cs17909_001.tif")
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"""
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"""
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s1=[]
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s2=[]
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j=4
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for i in range(1, 10, 1):
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f1=open_image("/sls/X11MA/data/X11MA/Data1/public/PEEM/2022_11/20221111/20221111_Two_Pol/i221111_00" + str(j) + "/i221111_00" + str(j) + "#00" + str(i) + ".tif")
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f2=open_image("/sls/X11MA/data/X11MA/Data1/public/PEEM/2022_11/20221111/20221111_Two_Pol/i221111_00" + str(j) + "_corr/ci221111_00" + str(j) + "#00" + str(i) + ".tif")
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a1 = get_ip_array(f1)
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a2 = get_ip_array(f2)
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s1.append(a1)
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s2.append(a2)
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plot([s1, s2], name=["a1", "a2"])
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"""
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#plot([a1[150], a2[150]], name=["a1", "a2"])
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#p1 = [sum(x) for x in a1]
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#p2 = [sum(x) for x in a2]
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#plot([p1, p2], name=["P1", "P2"])
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s1=[]
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s2=[]
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month = "2022_11"
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date = "20221115"
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index="024"
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method = "Two_Pol"
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method = "Take_Image"
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method = "Two_Energies"
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try:
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for i in range(1, 10, 1):
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f1=open_image("/sls/X11MA/data/X11MA/Data1/public/PEEM/" + month + "/" + date + "/" + date + "_" + method + "/i221115_" + index + "/i221115_" + index + "#00" + str(i) + ".tif")
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f2=open_image("/sls/X11MA/data/X11MA/Data1/public/PEEM/" + month + "/" + date + "/" + date + "_" + method + "/i221115_" + index + "_corr/ci221115_" + index + "#00" + str(i) + ".tif")
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a1 = get_ip_array(f1)
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a2 = get_ip_array(f2)
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s1.append(a1)
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s2.append(a2)
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except:
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pass
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plot([s1, s2], name=["a1", "a2"])
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