def setup_method(self, method): s_eels = EELSSpectrum([list(range(10))] * 3) s_eels.metadata.set_item( 'Acquisition_instrument.TEM.Detector.EELS.collection_angle', 3.0) s_eels.metadata.set_item('Acquisition_instrument.TEM.beam_energy', 1.0) s_eels.metadata.set_item( 'Acquisition_instrument.TEM.convergence_angle', 2.0) self.eels_m = s_eels.create_model(auto_background=False)
def setUp(self): s_eels = EELSSpectrum([list(range(10))] * 3) s_eels.metadata.set_item( 'Acquisition_instrument.TEM.Detector.EELS.collection_angle', 3.0) s_eels.metadata.set_item('Acquisition_instrument.TEM.beam_energy', 1.0) s_eels.metadata.set_item( 'Acquisition_instrument.TEM.convergence_angle', 2.0) self.eels_m = s_eels.create_model(auto_background=False)
def setup_method(self, method): data = np.random.random((10, 10, 600)) s = EELSSpectrum(data) s.axes_manager[-1].offset = -150. s.axes_manager[-1].scale = 0.5 s.metadata.set_item( 'Acquisition_instrument.TEM.Detector.EELS.collection_angle', 3.0) s.metadata.set_item('Acquisition_instrument.TEM.beam_energy', 1.0) s.metadata.set_item('Acquisition_instrument.TEM.convergence_angle', 2.0) m = s.create_model(ll=s + 1, auto_background=False, auto_add_edges=False) g = Gaussian() m.append(g) self.model = m
def setUp(self): data = np.random.random((10, 10, 600)) s = EELSSpectrum(data) s.axes_manager[-1].offset = -150. s.axes_manager[-1].scale = 0.5 s.metadata.set_item( 'Acquisition_instrument.TEM.Detector.EELS.collection_angle', 3.0) s.metadata.set_item('Acquisition_instrument.TEM.beam_energy', 1.0) s.metadata.set_item( 'Acquisition_instrument.TEM.convergence_angle', 2.0) m = s.create_model( ll=s + 1, auto_background=False, auto_add_edges=False) g = Gaussian() m.append(g) self.model = m