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Multi threaded fitting and returning chi2 (#132)

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Co-authored-by: Patrick <patrick.sieberer@psi.ch>
Co-authored-by: JulianHeymes <julian.heymes@psi.ch>
Co-authored-by: Dhanya Thattil <dhanya.thattil@psi.ch>
This commit is contained in:
Erik Fröjdh
2025-02-19 07:19:59 +01:00
committed by GitHub
parent dadf5f4869
commit b7a47576a1
12 changed files with 317 additions and 232 deletions
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34
python/examples/play.py
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@ -8,38 +8,20 @@ import numpy as np
import boost_histogram as bh
import time
<<<<<<< HEAD
from aare import File, ClusterFinder, VarClusterFinder, ClusterFile, CtbRawFile
from aare import gaus, fit_gaus
base = Path('/mnt/sls_det_storage/moench_data/Julian/MOENCH05/20250113_first_xrays_redo/raw_files/')
cluster_file = Path('/home/l_msdetect/erik/tmp/Cu.clust')
import aare
t0 = time.perf_counter()
offset= -0.5
hist3d = bh.Histogram(
bh.axis.Regular(160, 0+offset, 160+offset), #x
bh.axis.Regular(150, 0+offset, 150+offset), #y
bh.axis.Regular(200, 0, 6000), #ADU
)
data = np.random.normal(10, 1, 1000)
total_clusters = 0
with ClusterFile(cluster_file, chunk_size = 1000) as f:
for i, clusters in enumerate(f):
arr = np.array(clusters)
total_clusters += clusters.size
hist3d.fill(arr['y'],arr['x'], clusters.sum_2x2()) #python talks [row, col] cluster finder [x,y]
=======
from aare import RawFile
hist = bh.Histogram(bh.axis.Regular(10, 0, 20))
hist.fill(data)
f = RawFile('/mnt/sls_det_storage/jungfrau_data1/vadym_tests/jf12_M431/laser_scan/laserScan_pedestal_G0_master_0.json')
print(f'{f.frame_number(1)}')
x = hist.axes[0].centers
y = hist.values()
y_err = np.sqrt(y)+1
res = aare.fit_gaus(x, y, y_err, chi2 = True)
for i in range(10):
header, img = f.read_frame()
print(header['frameNumber'], img.shape)
>>>>>>> developer
t_elapsed = time.perf_counter()-t0