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49 lines
1.4 KiB
Python
49 lines
1.4 KiB
Python
import numpy as np
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import matplotlib.pyplot as plt
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plt.ion()
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header_dt = np.dtype(
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[
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("Frame Number", "u8"),
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("SubFrame Number/ExpLength", "u4"),
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("Packet Number", "u4"),
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("Bunch ID", "u8"),
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("Timestamp", "u8"),
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("Module Id", "u2"),
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("Row", "u2"),
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("Column", "u2"),
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("Reserved", "u2"),
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("Debug", "u4"),
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("Round Robin Number", "u2"),
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("Detector Type", "u1"),
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("Header Version", "u1"),
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("Packets caught mask", "8u8")
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]
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)
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# Read three frames from a jungfrau file with a single interface
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rows = 512
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cols = 1024
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frames = 10
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data = np.zeros((frames,rows,cols), dtype = np.uint16)
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header = np.zeros(frames, dtype = header_dt)
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for file_id in range(4):
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file_name = 'jungfrau_single_d0_f{}_0.raw'.format(file_id)
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print("Reading file:", file_name)
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with open(file_name) as f:
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for i in range(3 if file_id != 3 else 1):
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header[i+file_id*3] = np.fromfile(f, dtype=header_dt, count = 1)
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data[i+file_id*3] = np.fromfile(f, dtype=np.uint16,count = rows*cols).reshape(rows,cols)
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# for i in range(frames if file_id != 3 else 1 ):
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# print("frame:",i)
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# print(data[i][0,0],data[i][0,1],data[i][1,0],data[i][rows-1,cols-1])
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# print("")
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#fig, ax = plt.subplots()
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#im = ax.imshow(data[0])
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#im.set_clim(2000,4000)
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