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Cluster reading, expression templates (#99)

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Co-authored-by: froejdh_e <erik.frojdh@psi.ch>
This commit is contained in:
Erik Fröjdh
2024-11-15 16:32:36 +01:00
committed by GitHub
parent fbaf9dce89
commit 95ff77c8fc
28 changed files with 861 additions and 218 deletions
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94
python/examples/play.py
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@ -1,95 +1,15 @@
import matplotlib.pyplot as plt
import numpy as np
plt.ion()
import aare
from aare import CtbRawFile
print('aare imported')
from aare import transform
print('transform imported')
from pathlib import Path
from aare import ClusterFile
import json
base = Path('~/data/aare_test_data/clusters').expanduser()
def decode(frames, rawdata):
# rawdata = np.fromfile(f, dtype = np.uint16)
counters = int((np.shape(rawdata)[0]/frames-56)/(48*48))
print('Counters:', counters)
rawdata = rawdata.reshape(frames,-1)[:,56:]
rawdata = rawdata.reshape(frames,576*counters,4) #Data come in "blocks" of 4 pixels/receiver
tr1 = rawdata[:,0:576*counters:2] #Transceiver1
tr1=tr1.reshape((frames,48*counters,24))
tr2 = rawdata[:,1:576*counters:2] #Transceiver2
tr2=tr2.reshape((frames,48*counters,24))
data = np.append(tr1,tr2,axis=2)
return data
def get_Mh02_frames(fname):
# this function gives you the data from a file that is not a scan
# it returns a (frames,48*counters,48)
jsonf = open(fname)
jsonpar = json.load(jsonf)
jsonf.close()
frames=jsonpar["Frames in File"]
print('Frames:', frames)
rawf = fname.replace('master','d0_f0')
rawf = rawf.replace('.json','.raw')
with open(rawf, 'rb') as f:
rawdata = np.fromfile(f, dtype = np.uint16)
data = decode(frames, rawdata)
print('Data:', np.shape(data))
return data
f = ClusterFile(base / 'beam_En700eV_-40deg_300V_10us_d0_f0_100.clust')
# f = ClusterFile(base / 'single_frame_97_clustrers.clust')
#target format
# [frame, counter, row, col]
# plt.imshow(data[0,0])
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)
# for i in range(10):
# frame = 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')
# 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)
from aare import RawFile
from aare import RawFile, File
base = Path('/mnt/sls_det_storage/matterhorn_data/aare_test_data/Jungfrau10/Jungfrau_DoubleModule_1UDP_ROI/')
fname = base / Path('SideBySide/241019_JF_12keV_Si_FF_GaAs_FF_7p88mmFilter_PedestalStart_ZPos_5.5_master_0.json')
# fname = Path(base / 'jungfrau/jungfrau_single_master_0.json')
# fname = base / 'Stacked/241024_JF10_m450_m367_KnifeEdge_TestBesom_9keV_750umFilter_PedestalStart_ZPos_-6_master_0.json'
f = RawFile(fname)
h,img = f.read_frame()
print(f'{h["frameNumber"]}')
for i in range(10):
fn, cl = f.read_frame()
print(fn, cl.size)