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reading raw moench files (PR#3) (#32)
* reading moench and raw files * read mythen3 files * read multiport mythen3 * delete .vscode and .env.dev --------- Co-authored-by: Bechir <bechir.brahem420@gmail.com>
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80
data/jungfrau/read_multiport.py
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data/jungfrau/read_multiport.py
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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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BIN
data/moench/moench04_noise_200V_sto_both_100us_no_light_thresh_900_d0_f0_0.raw
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BIN
data/moench/moench04_noise_200V_sto_both_100us_no_light_thresh_900_d0_f0_0.raw
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Version : 6.4
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TimeStamp : Wed Aug 31 09:08:49 2022
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Detector Type : ChipTestBoard
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Timing Mode : auto
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Geometry : [1, 1]
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Image Size : 360000 bytes
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Pixels : [96, 1]
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Max Frames Per File : 20000
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Frame Discard Policy : nodiscard
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Frame Padding : 1
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Scan Parameters : [disabled]
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Total Frames : 100
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Exptime : 100us
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Period : 4ms
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Ten Giga : 1
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ADC Mask : 0xffffffff
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Analog Flag : 1
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Analog Samples : 5000
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Digital Flag : 1
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Digital Samples : 5000
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Dbit Offset : 0
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Dbit Bitset : 0
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Frames in File : 100
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#Frame Header
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Frame Number : 8 bytes
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SubFrame Number/ExpLength : 4 bytes
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Packet Number : 4 bytes
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Bunch ID : 8 bytes
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Timestamp : 8 bytes
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Module Id : 2 bytes
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Row : 2 bytes
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Column : 2 bytes
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Reserved : 2 bytes
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Debug : 4 bytes
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Round Robin Number : 2 bytes
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Detector Type : 1 byte
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Header Version : 1 byte
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Packets Caught Mask : 64 bytes
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BIN
data/mythen/scan242_d0_f0_3.raw
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data/mythen/scan242_d0_f0_3.raw
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data/mythen/scan242_d1_f0_3.raw
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data/mythen/scan242_d1_f0_3.raw
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data/mythen/scan242_d2_f0_3.raw
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data/mythen/scan242_d2_f0_3.raw
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data/mythen/scan242_d3_f0_3.raw
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data/mythen/scan242_d3_f0_3.raw
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data/mythen/scan242_master_3.raw
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data/mythen/scan242_master_3.raw
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Version : 6.2
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TimeStamp : Mon Sep 14 16:21:09 2020
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Detector Type : Mythen3
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Timing Mode : auto
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Geometry : [4, 1]
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Image Size : 5120 bytes
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Pixels : [1280, 1]
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Max Frames Per File : 10000
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Frame Discard Policy : nodiscard
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Frame Padding : 1
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Scan Parameters : [disabled]
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Total Frames : 1
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Dynamic Range : 32
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Ten Giga : 1
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Period : 0ns
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Counter Mask : 0x1
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Exptime1 : 0.2s
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Exptime2 : 0.2s
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Exptime3 : 0.2s
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GateDelay1 : 0.1s
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GateDelay2 : 0.1s
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GateDelay3 : 0.1s
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Gates : 1
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#Frame Header
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Frame Number : 8 bytes
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SubFrame Number/ExpLength : 4 bytes
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Packet Number : 4 bytes
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Bunch ID : 8 bytes
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Timestamp : 8 bytes
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Module Id : 2 bytes
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Row : 2 bytes
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Column : 2 bytes
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Reserved : 2 bytes
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Debug : 4 bytes
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Round Robin Number : 2 bytes
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Detector Type : 1 byte
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Header Version : 1 byte
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Packets Caught Mask : 64 bytes
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