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Brining in changes (#93)

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This commit is contained in:
Erik Fröjdh
2024-11-11 19:59:55 +01:00
committed by GitHub
parent d8d1f0c517
commit 349e3af8e1
23 changed files with 674 additions and 140 deletions
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94
python/examples/play.py
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@ -53,84 +53,36 @@ def get_Mh02_frames(fname):
# plt.imshow(data[0,0])
# p = Path('/Users/erik/data/aare_test_data/jungfrau/jungfrau_single_master_0.json')
base = Path('/mnt/sls_det_storage/matterhorn_data/aare_test_data/ci/aare_test_data')
# p = Path(base / 'jungfrau/jungfrau_single_master_0.json')
# f = aare.File(p)
# frame = f.read_frame()
# fig, ax = plt.subplots()
# im = ax.imshow(frame, cmap='viridis')
# fpath = Path('/Users/erik/data/Moench03old/test_034_irradiated_noise_g4_hg_exptime_2000us_master_0.json')
# # fpath = Path('/Users/erik/data/Moench05/moench05_multifile_master_0.json')
# # f = aare.CtbRawFile(fpath, transform = transform.moench05)
# # with CtbRawFile(fpath, transform = transform.moench05) as f:
# # for header, image in f:
# # print(f'Frame number: {header["frameNumber"]}')
# # m = aare.RawMasterFile(fpath)
# f = aare.File(fpath)
# for i in range(10):
# frame = f.read_frame()
# cf = aare.ClusterFinder((400,400),(3,3))
# for i in range(100):
# cf.push_pedestal_frame(f.read_frame())
# f.seek(0)
# pd = f.read_n(100).mean(axis=0)
# clusters = cf.find_clusters_without_threshold(f.read_frame())
# # f2 = aare.CtbRawFile(fpath, transform=transform.matterhorn02)
# # header, data = f2.read()
# # plt.plot(data[:,0,20,20])
# from aare import RawMasterFile, File, RawSubFile, DetectorType, RawFile
# base = Path('/mnt/sls_det_storage/matterhorn_data/aare_test_data/Jungfrau10/Jungfrau_DoubleModule_1UDP_ROI/SideBySide/')
# fpath = Path('241019_JF_12keV_Si_FF_GaAs_FF_7p88mmFilter_PedestalStart_ZPos_5.5_master_0.json')
# raw = Path('241019_JF_12keV_Si_FF_GaAs_FF_7p88mmFilter_PedestalStart_ZPos_5.5_d0_f0_0.raw')
base = Path('/Users/erik/data/matterhorn/raw')
fpath = Path(base / 'scan_15keV_vrf700_vrsh700_th0_master_0.json')
f = aare.CtbRawFile(fpath, transform=transform.matterhorn02)
f.seek(100)
header1, image1 = f.read_frame()
# m = RawMasterFile(base / fpath)
# # roi = m.roi
# # rows = roi.ymax-roi.ymin+1
# # cols = 1024-roi.xmin
# # sf = RawSubFile(base / raw, DetectorType.Jungfrau, rows, cols, 16)
# fpath = Path(base / 'scan_all15keV_vrf500_vrsh700_th0_master_0.json')
# f = aare.CtbRawFile(fpath, transform=transform.matterhorn02)
# f.seek(100)
# header4, image4 = f.read_frame()
# n_counters = image.shape[1] / 48**2 / 2
# for i in range(100):
# header, image = f.read_frame()
# print(header['frameNumber'])
#Data come in "blocks" of 4 pixels/receiver
# data = get_Mh02_frames(fpath.as_posix())
# rawi = np.zeros(48*48*4+56, dtype = np.uint16)
# for i,v in enumerate(rawi[56:]):
# rawi[i+56] = i
# raw = image.view(np.uint16)
# pixel_map = decode(1, rawi)
# # img = np.take(raw, pixel_map)
# pm = np.zeros((4, 48,48), dtype = np.int64)
# for counter in range(4):
# for row in range(48):
# for col in range(48):
# pm[counter, row, col] = row*48 + col+counter*48*48
# f2 = aare.CtbRawFile(fpath, transform=transform.matterhorn02)
# header, data = f2.read()
# plt.plot(data[:,0,20,20])
from aare import RawFile
base = Path('/mnt/sls_det_storage/matterhorn_data/aare_test_data/Jungfrau10/Jungfrau_DoubleModule_1UDP_ROI/SideBySide/')
fname = base / Path('241019_JF_12keV_Si_FF_GaAs_FF_7p88mmFilter_PedestalStart_ZPos_5.5_master_0.json')
# fname = Path(base / 'jungfrau/jungfrau_single_master_0.json')
f = RawFile(fname)
h,img = f.read_frame()
print(f'{h["frameNumber"]}')