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937acd1138
* works, not tested well on multi columns --------- Co-authored-by: Erik Fröjdh <erik.frojdh@gmail.com>
81 lines
1.8 KiB
Python
81 lines
1.8 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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frames = 1
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parts = 2
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frame_cols = 1024
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frame_rows = 512
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part_cols = 1024
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part_rows = 256
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parts_data = np.zeros((frames,parts,part_rows,part_cols), dtype = np.uint16)
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data = np.zeros((frames,frame_rows,frame_cols), dtype = np.uint16)
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header = np.zeros((frames,parts), dtype = header_dt)
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for frame in range(frames):
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for part in range(parts):
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file_name = f'jungfrau_double_d{part}_f{frame}_{0}.raw'
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print("Reading file:", file_name)
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with open(file_name) as f:
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header[frame,part] = np.fromfile(f, dtype=header_dt, count = 1)
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parts_data[frame,part] = np.fromfile(f, dtype=np.uint16,count = part_rows*part_cols).reshape(part_rows,part_cols)
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data[frame] = np.concatenate((parts_data[frame,0],parts_data[frame,1]),axis=0)
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# for frame in range(frames):
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# print("Frame:", frame)
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# print("Data:\n", data[frame])
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# print(data[0,0,0])
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# print(data[0,0,1])
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# print(data[0,0,50])
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print(data[0,0,0])
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print(data[0,0,1])
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print(data[0,255,1023])
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print(data[0,511,1023])
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# print()
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# print(parts_data[0,0,0,0])
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# print(parts_data[0,0,0,1])
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# print(parts_data[0,0,1,0])
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# print(data.shape)
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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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