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[ENH] SoftiMax HDF5 reader #779

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merged 3 commits into from
Dec 18, 2024
Merged

[ENH] SoftiMax HDF5 reader #779

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dc527d4
SoftiMax HDF5 reader
borondics Dec 9, 2024
38be6ec
ensure old workflow compatibility by preferring HERMES over SoftiMax …
markotoplak Dec 18, 2024
fbf168a
Move SoftiMax reader to io/maxiv.py
markotoplak Dec 18, 2024
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40 changes: 30 additions & 10 deletions orangecontrib/spectroscopy/io/soleil.py
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Original file line number Diff line number Diff line change
Expand Up @@ -43,16 +43,36 @@ class HDF5Reader_HERMES(FileFormat, SpectralFileFormat):

def read_spectra(self):
import h5py
hdf5_file = h5py.File(self.filename)
if 'entry1/collection/beamline' in hdf5_file and \
hdf5_file['entry1/collection/beamline'][()].astype('str') == 'Hermes':
x_locs = np.array(hdf5_file['entry1/Counter0/sample_x'])
y_locs = np.array(hdf5_file['entry1/Counter0/sample_y'])
energy = np.array(hdf5_file['entry1/Counter0/energy'])
intensities = np.array(hdf5_file['entry1/Counter0/data']).T
return _spectra_from_image(intensities, energy, x_locs, y_locs)
else:
raise IOError("Not an HDF5 HERMES file")
with h5py.File(self.filename, 'r') as hdf5_file:
if 'entry1/collection/beamline' in hdf5_file and \
hdf5_file['entry1/collection/beamline'][()].astype('str') == 'Hermes':
x_locs = np.array(hdf5_file['entry1/Counter0/sample_x'])
y_locs = np.array(hdf5_file['entry1/Counter0/sample_y'])
energy = np.array(hdf5_file['entry1/Counter0/energy'])
intensities = np.array(hdf5_file['entry1/Counter0/data']).T
return _spectra_from_image(intensities, energy, x_locs, y_locs)
else:
raise IOError("Not an HDF5 HERMES file")


class HDF5Reader_SoftiMAX(FileFormat, SpectralFileFormat):
""" A very case specific reader for HDF5 files from the SoftiMAX beamline in MAX-IV"""
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EXTENSIONS = ('.hdf5',)
DESCRIPTION = 'HDF5 file @SoftiMAX/MAX-IV'

def read_spectra(self):
print("SoftiMax")
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import h5py
with h5py.File(self.filename, 'r') as hdf5_file:
if 'entry1/collection/beamline' in hdf5_file and \
hdf5_file['entry1/collection/beamline'][()].astype('str') == ['SLS Sophie at Softimax MAXIV']:
x_locs = np.array(hdf5_file['entry1/counter0/sample_x'])
y_locs = np.array(hdf5_file['entry1/counter0/sample_y'])
energy = np.array(hdf5_file['entry1/counter0/energy'])
intensities = np.array(hdf5_file['entry1/counter0/data']).T
return _spectra_from_image(intensities, energy, y_locs, x_locs)
else:
raise IOError("Not a SoftiMAX file")


class HDF5Reader_ROCK(FileFormat, SpectralFileFormat):
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