.. DO NOT EDIT. .. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY. .. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE: .. "auto_examples/plot_SiO2_Si_MM.py" .. LINE NUMBERS ARE GIVEN BELOW. .. only:: html .. note:: :class: sphx-glr-download-link-note :ref:`Go to the end ` to download the full example code. .. rst-class:: sphx-glr-example-title .. _sphx_glr_auto_examples_plot_SiO2_Si_MM.py: Mueller matrix ============== Mueller matrix fit to a SiO2 on Si measurement. .. GENERATED FROM PYTHON SOURCE LINES 9-14 .. code-block:: Python import elli from elli.fitting import ParamsHist, fit_mueller_matrix .. GENERATED FROM PYTHON SOURCE LINES 16-27 Read data --------- We load the data from an ascii file containing each of the mueller matrix elements. The wavelength range is cut to be in between 210 nm and 820 nm, to stay in the range of the provided literature values for Si. The data is expected to be in a pandas dataframe containing the columns Mxy, where x and y refer to the matrix element inside the mueller matrix. The data is scaled by the M11 element, such that :math:`M_{11} = 1` for all wavelengths. To show the structure we print the `MM` dataframe. If you load your data from another source make sure it adheres to this form. .. GENERATED FROM PYTHON SOURCE LINES 27-30 .. code-block:: Python MM = elli.read_spectraray_mmatrix("Wafer_MM_70.txt").loc[210:820] print(MM) .. rst-class:: sphx-glr-script-out .. code-block:: none M11 M12 M13 M14 ... M41 M42 M43 M44 Wavelength ... 210.30366 1.0 -0.09147 -0.01241 -0.00614 ... 0.00986 0.00048 -0.95574 0.25821 210.76102 1.0 -0.10879 -0.01151 -0.00901 ... 0.00917 0.01319 -0.96899 0.24432 211.21834 1.0 -0.10639 -0.00694 -0.00475 ... 0.00712 0.00891 -0.96191 0.24986 211.67561 1.0 -0.11544 -0.02094 -0.00348 ... 0.01877 0.01726 -0.95951 0.25408 212.13284 1.0 -0.12199 0.02182 0.00480 ... -0.01790 -0.01957 -0.95493 0.28308 ... ... ... ... ... ... ... ... ... ... 818.08934 1.0 -0.44285 -0.00048 -0.00288 ... 0.00292 -0.00276 -0.87949 0.15713 818.50589 1.0 -0.44301 0.00376 0.00118 ... -0.00159 -0.01090 -0.87876 0.16422 818.92240 1.0 -0.44245 0.00887 0.00626 ... -0.00585 -0.01388 -0.87960 0.16743 819.33886 1.0 -0.44406 -0.00646 -0.00610 ... 0.00882 0.00424 -0.87907 0.15105 819.75528 1.0 -0.44381 0.01170 0.00550 ... -0.00692 -0.01260 -0.87849 0.16637 [1396 rows x 16 columns] .. GENERATED FROM PYTHON SOURCE LINES 31-35 Setting start parameters ------------------------ Here we set the start parameters for the SiO2 cauchy dispersion and thickness of the layer. .. GENERATED FROM PYTHON SOURCE LINES 35-44 .. code-block:: Python params = ParamsHist() params.add("SiO2_n0", value=1.452, min=-100, max=100, vary=True) params.add("SiO2_n1", value=36.0, min=-40000, max=40000, vary=True) params.add("SiO2_n2", value=0, min=-40000, max=40000, vary=True) params.add("SiO2_k0", value=0, min=-100, max=100, vary=True) params.add("SiO2_k1", value=0, min=-40000, max=40000, vary=True) params.add("SiO2_k2", value=0, min=-40000, max=40000, vary=True) params.add("SiO2_d", value=120, min=0, max=40000, vary=True) .. GENERATED FROM PYTHON SOURCE LINES 45-55 Load silicon dispersion from the refractiveindexinfo database ------------------------------------------------------------- You can load any material from the index `refractiveindex.info `__, which is embedded into the software (so you may use it offline, too). Here, we are interested in the literature values for the silicon substrate. First we need to load the database with ``rii_db = elli.db.RII()`` and then we can query it with ``rii_db.get_mat("Si", "Aspnes")`` to load this `entry `__. .. GENERATED FROM PYTHON SOURCE LINES 55-59 .. code-block:: Python rii_db = elli.db.RII() Si = rii_db.get_mat("Si", "Aspnes") .. GENERATED FROM PYTHON SOURCE LINES 60-66 Building the model ------------------ Here the model is build and the experimental structure is returned. For details on this process please refer to the :ref:`Basic usage` example. When executed in an jupyter notebook this displays an interactive graph with which you can select the start parameters before fitting the data. .. GENERATED FROM PYTHON SOURCE LINES 66-84 .. code-block:: Python @fit_mueller_matrix(MM, params, display_single=False, sharex=True, full_scale=False) def model(lbda, params): SiO2 = elli.Cauchy( params["SiO2_n0"], params["SiO2_n1"], params["SiO2_n2"], params["SiO2_k0"], params["SiO2_k1"], params["SiO2_k2"], ).get_mat() Layer = [elli.Layer(SiO2, params["SiO2_d"])] return elli.Structure(elli.AIR, Layer, Si).evaluate( lbda, 70, solver=elli.Solver4x4, propagator=elli.PropagatorExpm() ) .. GENERATED FROM PYTHON SOURCE LINES 85-88 Plot & Fit the model -------------------- Here we plot the model at the initial parameter set vs. the experimental data. .. GENERATED FROM PYTHON SOURCE LINES 88-90 .. code-block:: Python model.plot() .. rst-class:: sphx-glr-script-out .. code-block:: none FigureWidget({ 'data': [{'line': {'color': '#636EFA', 'dash': 'solid'}, 'name': 'M11 ', 'type': 'scatter', 'uid': 'e2b296c1-41a3-413f-892c-51a61682ec23', 'x': array([210.30366, 210.76102, 211.21834, ..., 818.9224 , 819.33886, 819.75528], shape=(1396,)), 'xaxis': 'x', 'y': array([1., 1., 1., ..., 1., 1., 1.], shape=(1396,)), 'yaxis': 'y'}, {'line': {'color': '#636EFA', 'dash': 'dash'}, 'name': 'M11 theory', 'type': 'scatter', 'uid': '3d16060a-3784-4fb1-aeca-e8aa6c05bdde', 'x': array([210.30366, 210.76102, 211.21834, ..., 818.9224 , 819.33886, 819.75528], shape=(1396,)), 'xaxis': 'x', 'y': array([1., 1., 1., ..., 1., 1., 1.], shape=(1396,)), 'yaxis': 'y'}, {'line': {'color': '#EF553B', 'dash': 'solid'}, 'name': 'M12 ', 'type': 'scatter', 'uid': '3ca283ac-e01c-4bc9-8bee-8960f55ea6f7', 'x': array([210.30366, 210.76102, 211.21834, ..., 818.9224 , 819.33886, 819.75528], shape=(1396,)), 'xaxis': 'x2', 'y': array([-0.09147, -0.10879, -0.10639, ..., -0.44245, -0.44406, -0.44381], shape=(1396,)), 'yaxis': 'y2'}, {'line': {'color': '#EF553B', 'dash': 'dash'}, 'name': 'M12 theory', 'type': 'scatter', 'uid': '3e381a19-7ceb-4e16-8fe5-9bffc336022e', 'x': array([210.30366, 210.76102, 211.21834, ..., 818.9224 , 819.33886, 819.75528], shape=(1396,)), 'xaxis': 'x2', 'y': array([ 0.48855385, 0.48240998, 0.47406745, ..., -0.27742534, -0.27818747, -0.27894785], shape=(1396,)), 'yaxis': 'y2'}, {'line': {'color': '#00CC96', 'dash': 'solid'}, 'name': 'M13 ', 'type': 'scatter', 'uid': 'd4a9766b-ba4b-49e0-b89c-666223432466', 'x': array([210.30366, 210.76102, 211.21834, ..., 818.9224 , 819.33886, 819.75528], shape=(1396,)), 'xaxis': 'x3', 'y': array([-0.01241, -0.01151, -0.00694, ..., 0.00887, -0.00646, 0.0117 ], shape=(1396,)), 'yaxis': 'y3'}, {'line': {'color': '#00CC96', 'dash': 'dash'}, 'name': 'M13 theory', 'type': 'scatter', 'uid': '3878fb55-89f9-4323-8237-029d20f61b49', 'x': array([210.30366, 210.76102, 211.21834, ..., 818.9224 , 819.33886, 819.75528], shape=(1396,)), 'xaxis': 'x3', 'y': array([0., 0., 0., ..., 0., 0., 0.], shape=(1396,)), 'yaxis': 'y3'}, {'line': {'color': '#AB63FA', 'dash': 'solid'}, 'name': 'M14 ', 'type': 'scatter', 'uid': 'b7d23786-d72e-483d-8dac-cf944903d34f', 'x': array([210.30366, 210.76102, 211.21834, ..., 818.9224 , 819.33886, 819.75528], shape=(1396,)), 'xaxis': 'x4', 'y': array([-0.00614, -0.00901, -0.00475, ..., 0.00626, -0.0061 , 0.0055 ], shape=(1396,)), 'yaxis': 'y4'}, {'line': {'color': '#AB63FA', 'dash': 'dash'}, 'name': 'M14 theory', 'type': 'scatter', 'uid': '5dd2efba-ebf8-4078-8e48-89c48f5fe2b6', 'x': array([210.30366, 210.76102, 211.21834, ..., 818.9224 , 819.33886, 819.75528], shape=(1396,)), 'xaxis': 'x4', 'y': array([0., 0., 0., ..., 0., 0., 0.], shape=(1396,)), 'yaxis': 'y4'}, {'line': {'color': '#FFA15A', 'dash': 'solid'}, 'name': 'M21 ', 'type': 'scatter', 'uid': '128668ef-7848-4c3a-9d2f-05fa63cee4d6', 'x': array([210.30366, 210.76102, 211.21834, ..., 818.9224 , 819.33886, 819.75528], shape=(1396,)), 'xaxis': 'x5', 'y': array([-0.09605, -0.09754, -0.10761, ..., -0.44024, -0.44126, -0.44135], shape=(1396,)), 'yaxis': 'y5'}, {'line': {'color': '#FFA15A', 'dash': 'dash'}, 'name': 'M21 theory', 'type': 'scatter', 'uid': '20956be2-5e38-49f3-b29c-dc723e23ac1e', 'x': array([210.30366, 210.76102, 211.21834, ..., 818.9224 , 819.33886, 819.75528], shape=(1396,)), 'xaxis': 'x5', 'y': array([ 0.48855385, 0.48240998, 0.47406745, ..., -0.27742534, -0.27818747, -0.27894785], shape=(1396,)), 'yaxis': 'y5'}, {'line': {'color': '#19D3F3', 'dash': 'solid'}, 'name': 'M22 ', 'type': 'scatter', 'uid': '1711f8d1-6411-4b46-b4a7-75160eb95820', 'x': array([210.30366, 210.76102, 211.21834, ..., 818.9224 , 819.33886, 819.75528], shape=(1396,)), 'xaxis': 'x6', 'y': array([0.99426, 0.99475, 0.99637, ..., 0.99723, 0.99661, 0.99606], shape=(1396,)), 'yaxis': 'y6'}, {'line': {'color': '#19D3F3', 'dash': 'dash'}, 'name': 'M22 theory', 'type': 'scatter', 'uid': '0aae48e5-88c5-4bc4-a43f-4edda0955ed2', 'x': array([210.30366, 210.76102, 211.21834, ..., 818.9224 , 819.33886, 819.75528], shape=(1396,)), 'xaxis': 'x6', 'y': array([1., 1., 1., ..., 1., 1., 1.], shape=(1396,)), 'yaxis': 'y6'}, {'line': {'color': '#FF6692', 'dash': 'solid'}, 'name': 'M23 ', 'type': 'scatter', 'uid': 'dd0afe85-0849-4067-bc16-f9e90258ce0d', 'x': array([210.30366, 210.76102, 211.21834, ..., 818.9224 , 819.33886, 819.75528], shape=(1396,)), 'xaxis': 'x7', 'y': array([-0.00364, -0.00427, -0.00207, ..., -0.00457, 0.00234, -0.00653], shape=(1396,)), 'yaxis': 'y7'}, {'line': {'color': '#FF6692', 'dash': 'dash'}, 'name': 'M23 theory', 'type': 'scatter', 'uid': 'de2d7804-d284-40c1-a4dd-c6dfec84f946', 'x': array([210.30366, 210.76102, 211.21834, ..., 818.9224 , 819.33886, 819.75528], shape=(1396,)), 'xaxis': 'x7', 'y': array([0., 0., 0., ..., 0., 0., 0.], shape=(1396,)), 'yaxis': 'y7'}, {'line': {'color': '#B6E880', 'dash': 'solid'}, 'name': 'M24 ', 'type': 'scatter', 'uid': 'bc51d38a-4217-40fc-ba94-0ea57d11498c', 'x': array([210.30366, 210.76102, 211.21834, ..., 818.9224 , 819.33886, 819.75528], shape=(1396,)), 'xaxis': 'x8', 'y': array([ 0.01084, -0.00325, 0.01123, ..., -0.00263, 0.00227, -0.00311], shape=(1396,)), 'yaxis': 'y8'}, {'line': {'color': '#B6E880', 'dash': 'dash'}, 'name': 'M24 theory', 'type': 'scatter', 'uid': '7b0e66fd-74aa-4283-8caf-8178450192af', 'x': array([210.30366, 210.76102, 211.21834, ..., 818.9224 , 819.33886, 819.75528], shape=(1396,)), 'xaxis': 'x8', 'y': array([0., 0., 0., ..., 0., 0., 0.], shape=(1396,)), 'yaxis': 'y8'}, {'line': {'color': '#FF97FF', 'dash': 'solid'}, 'name': 'M31 ', 'type': 'scatter', 'uid': '0400f3dd-9681-4d7f-9ad9-7ace3ff0aaec', 'x': array([210.30366, 210.76102, 211.21834, ..., 818.9224 , 819.33886, 819.75528], shape=(1396,)), 'xaxis': 'x9', 'y': array([-0.00278, -0.00634, -0.00219, ..., 0.00055, -0.00105, 0.00037], shape=(1396,)), 'yaxis': 'y9'}, {'line': {'color': '#FF97FF', 'dash': 'dash'}, 'name': 'M31 theory', 'type': 'scatter', 'uid': 'e7d62040-194c-475b-af32-094fb367f9de', 'x': array([210.30366, 210.76102, 211.21834, ..., 818.9224 , 819.33886, 819.75528], shape=(1396,)), 'xaxis': 'x9', 'y': array([0., 0., 0., ..., 0., 0., 0.], shape=(1396,)), 'yaxis': 'y9'}, {'line': {'color': '#FECB52', 'dash': 'solid'}, 'name': 'M32 ', 'type': 'scatter', 'uid': '7d49a59b-6f78-4a33-8e62-9d7cf9e1c3e2', 'x': array([210.30366, 210.76102, 211.21834, ..., 818.9224 , 819.33886, 819.75528], shape=(1396,)), 'xaxis': 'x10', 'y': array([-0.00212, -0.00045, 0.0003 , ..., -0.0018 , -0.00042, 0.00037], shape=(1396,)), 'yaxis': 'y10'}, {'line': {'color': '#FECB52', 'dash': 'dash'}, 'name': 'M32 theory', 'type': 'scatter', 'uid': '29a59548-3c1f-4cf9-a92f-876f4e205e79', 'x': array([210.30366, 210.76102, 211.21834, ..., 818.9224 , 819.33886, 819.75528], shape=(1396,)), 'xaxis': 'x10', 'y': array([0., 0., 0., ..., 0., 0., 0.], shape=(1396,)), 'yaxis': 'y10'}, {'line': {'color': '#636EFA', 'dash': 'solid'}, 'name': 'M33 ', 'type': 'scatter', 'uid': '49cd92a5-6425-489b-97f9-b5cc76a2e564', 'x': array([210.30366, 210.76102, 211.21834, ..., 818.9224 , 819.33886, 819.75528], shape=(1396,)), 'xaxis': 'x11', 'y': array([0.27283, 0.26726, 0.2728 , ..., 0.16236, 0.16271, 0.16255], shape=(1396,)), 'yaxis': 'y11'}, {'line': {'color': '#636EFA', 'dash': 'dash'}, 'name': 'M33 theory', 'type': 'scatter', 'uid': 'ab179719-aff7-40e8-b865-b97634efc49d', 'x': array([210.30366, 210.76102, 211.21834, ..., 818.9224 , 819.33886, 819.75528], shape=(1396,)), 'xaxis': 'x11', 'y': array([-0.78177026, -0.75168899, -0.71871123, ..., 0.20163327, 0.20156999, 0.20150625], shape=(1396,)), 'yaxis': 'y11'}, {'line': {'color': '#EF553B', 'dash': 'solid'}, 'name': 'M34 ', 'type': 'scatter', 'uid': '14bb1ff4-ecc3-468c-b326-cddd1f7acb68', 'x': array([210.30366, 210.76102, 211.21834, ..., 818.9224 , 819.33886, 819.75528], shape=(1396,)), 'xaxis': 'x12', 'y': array([0.95555, 0.9645 , 0.95821, ..., 0.87712, 0.87629, 0.87661], shape=(1396,)), 'yaxis': 'y12'}, {'line': {'color': '#EF553B', 'dash': 'dash'}, 'name': 'M34 theory', 'type': 'scatter', 'uid': '18993a3d-fb7d-4de2-9f3a-13c003fecb4c', 'x': array([210.30366, 210.76102, 211.21834, ..., 818.9224 , 819.33886, 819.75528], shape=(1396,)), 'xaxis': 'x12', 'y': array([0.38749245, 0.44971578, 0.50863958, ..., 0.93935042, 0.93913858, 0.93892669], shape=(1396,)), 'yaxis': 'y12'}, {'line': {'color': '#00CC96', 'dash': 'solid'}, 'name': 'M41 ', 'type': 'scatter', 'uid': '4043e421-3b5e-4e49-8dd3-6e7f19145a93', 'x': array([210.30366, 210.76102, 211.21834, ..., 818.9224 , 819.33886, 819.75528], shape=(1396,)), 'xaxis': 'x13', 'y': array([ 0.00986, 0.00917, 0.00712, ..., -0.00585, 0.00882, -0.00692], shape=(1396,)), 'yaxis': 'y13'}, {'line': {'color': '#00CC96', 'dash': 'dash'}, 'name': 'M41 theory', 'type': 'scatter', 'uid': '7565d1a2-150c-4283-9263-41a3e9db21c2', 'x': array([210.30366, 210.76102, 211.21834, ..., 818.9224 , 819.33886, 819.75528], shape=(1396,)), 'xaxis': 'x13', 'y': array([0., 0., 0., ..., 0., 0., 0.], shape=(1396,)), 'yaxis': 'y13'}, {'line': {'color': '#AB63FA', 'dash': 'solid'}, 'name': 'M42 ', 'type': 'scatter', 'uid': 'a0841fe2-97c9-4b7e-9d4e-b6ca8091f2f7', 'x': array([210.30366, 210.76102, 211.21834, ..., 818.9224 , 819.33886, 819.75528], shape=(1396,)), 'xaxis': 'x14', 'y': array([ 0.00048, 0.01319, 0.00891, ..., -0.01388, 0.00424, -0.0126 ], shape=(1396,)), 'yaxis': 'y14'}, {'line': {'color': '#AB63FA', 'dash': 'dash'}, 'name': 'M42 theory', 'type': 'scatter', 'uid': '3d2d7880-d653-4681-8b5a-9e10a3def52a', 'x': array([210.30366, 210.76102, 211.21834, ..., 818.9224 , 819.33886, 819.75528], shape=(1396,)), 'xaxis': 'x14', 'y': array([0., 0., 0., ..., 0., 0., 0.], shape=(1396,)), 'yaxis': 'y14'}, {'line': {'color': '#FFA15A', 'dash': 'solid'}, 'name': 'M43 ', 'type': 'scatter', 'uid': 'e41aa1e6-26a3-4a78-8170-932fc9d50b7c', 'x': array([210.30366, 210.76102, 211.21834, ..., 818.9224 , 819.33886, 819.75528], shape=(1396,)), 'xaxis': 'x15', 'y': array([-0.95574, -0.96899, -0.96191, ..., -0.8796 , -0.87907, -0.87849], shape=(1396,)), 'yaxis': 'y15'}, {'line': {'color': '#FFA15A', 'dash': 'dash'}, 'name': 'M43 theory', 'type': 'scatter', 'uid': 'dc5aeffb-641e-42d1-85a2-767f26d9b720', 'x': array([210.30366, 210.76102, 211.21834, ..., 818.9224 , 819.33886, 819.75528], shape=(1396,)), 'xaxis': 'x15', 'y': array([-0.38749245, -0.44971578, -0.50863958, ..., -0.93935042, -0.93913858, -0.93892669], shape=(1396,)), 'yaxis': 'y15'}, {'line': {'color': '#19D3F3', 'dash': 'solid'}, 'name': 'M44 ', 'type': 'scatter', 'uid': 'f6fd0557-d858-41f6-9781-09deaba2de2d', 'x': array([210.30366, 210.76102, 211.21834, ..., 818.9224 , 819.33886, 819.75528], shape=(1396,)), 'xaxis': 'x16', 'y': array([0.25821, 0.24432, 0.24986, ..., 0.16743, 0.15105, 0.16637], shape=(1396,)), 'yaxis': 'y16'}, {'line': {'color': '#19D3F3', 'dash': 'dash'}, 'name': 'M44 theory', 'type': 'scatter', 'uid': 'dc484c3c-d681-44a7-9e2d-b060d804e5c7', 'x': array([210.30366, 210.76102, 211.21834, ..., 818.9224 , 819.33886, 819.75528], shape=(1396,)), 'xaxis': 'x16', 'y': array([-0.78177026, -0.75168899, -0.71871123, ..., 0.20163327, 0.20156999, 0.20150625], shape=(1396,)), 'yaxis': 'y16'}], 'layout': {'template': '...', 'xaxis': {'anchor': 'y', 'domain': [0.0, 0.2125], 'matches': 'x'}, 'xaxis10': {'anchor': 'y10', 'domain': [0.2625, 0.475], 'matches': 'x'}, 'xaxis11': {'anchor': 'y11', 'domain': [0.525, 0.7375], 'matches': 'x'}, 'xaxis12': {'anchor': 'y12', 'domain': [0.7875, 1.0], 'matches': 'x'}, 'xaxis13': {'anchor': 'y13', 'domain': [0.0, 0.2125], 'matches': 'x'}, 'xaxis14': {'anchor': 'y14', 'domain': [0.2625, 0.475], 'matches': 'x'}, 'xaxis15': {'anchor': 'y15', 'domain': [0.525, 0.7375], 'matches': 'x'}, 'xaxis16': {'anchor': 'y16', 'domain': [0.7875, 1.0], 'matches': 'x'}, 'xaxis2': {'anchor': 'y2', 'domain': [0.2625, 0.475], 'matches': 'x'}, 'xaxis3': {'anchor': 'y3', 'domain': [0.525, 0.7375], 'matches': 'x'}, 'xaxis4': {'anchor': 'y4', 'domain': [0.7875, 1.0], 'matches': 'x'}, 'xaxis5': {'anchor': 'y5', 'domain': [0.0, 0.2125], 'matches': 'x'}, 'xaxis6': {'anchor': 'y6', 'domain': [0.2625, 0.475], 'matches': 'x'}, 'xaxis7': {'anchor': 'y7', 'domain': [0.525, 0.7375], 'matches': 'x'}, 'xaxis8': {'anchor': 'y8', 'domain': [0.7875, 1.0], 'matches': 'x'}, 'xaxis9': {'anchor': 'y9', 'domain': [0.0, 0.2125], 'matches': 'x'}, 'yaxis': {'anchor': 'x', 'domain': [0.80625, 1.0]}, 'yaxis10': {'anchor': 'x10', 'domain': [0.26875, 0.4625]}, 'yaxis11': {'anchor': 'x11', 'domain': [0.26875, 0.4625]}, 'yaxis12': {'anchor': 'x12', 'domain': [0.26875, 0.4625]}, 'yaxis13': {'anchor': 'x13', 'domain': [0.0, 0.19375]}, 'yaxis14': {'anchor': 'x14', 'domain': [0.0, 0.19375]}, 'yaxis15': {'anchor': 'x15', 'domain': [0.0, 0.19375]}, 'yaxis16': {'anchor': 'x16', 'domain': [0.0, 0.19375]}, 'yaxis2': {'anchor': 'x2', 'domain': [0.80625, 1.0]}, 'yaxis3': {'anchor': 'x3', 'domain': [0.80625, 1.0]}, 'yaxis4': {'anchor': 'x4', 'domain': [0.80625, 1.0]}, 'yaxis5': {'anchor': 'x5', 'domain': [0.5375, 0.73125]}, 'yaxis6': {'anchor': 'x6', 'domain': [0.5375, 0.73125]}, 'yaxis7': {'anchor': 'x7', 'domain': [0.5375, 0.73125]}, 'yaxis8': {'anchor': 'x8', 'domain': [0.5375, 0.73125]}, 'yaxis9': {'anchor': 'x9', 'domain': [0.26875, 0.4625]}} }) .. GENERATED FROM PYTHON SOURCE LINES 91-92 We can also plot the residual between measurement and model. .. GENERATED FROM PYTHON SOURCE LINES 92-94 .. code-block:: Python model.plot_residual() .. rst-class:: sphx-glr-script-out .. code-block:: none FigureWidget({ 'data': [{'line': {'color': '#636EFA', 'dash': 'solid'}, 'name': 'M11 ', 'type': 'scatter', 'uid': '12005247-76c9-4edb-a85b-ca3c3df60ee4', 'x': array([210.30366, 210.76102, 211.21834, ..., 818.9224 , 819.33886, 819.75528], shape=(1396,)), 'xaxis': 'x', 'y': array([0., 0., 0., ..., 0., 0., 0.], shape=(1396,)), 'yaxis': 'y'}, {'line': {'color': '#EF553B', 'dash': 'solid'}, 'name': 'M12 ', 'type': 'scatter', 'uid': '51f1680a-4cbf-4bdc-9cb3-76695bc7a47a', 'x': array([210.30366, 210.76102, 211.21834, ..., 818.9224 , 819.33886, 819.75528], shape=(1396,)), 'xaxis': 'x2', 'y': array([0.58002385, 0.59119998, 0.58045745, ..., 0.16502466, 0.16587253, 0.16486215], shape=(1396,)), 'yaxis': 'y2'}, {'line': {'color': '#00CC96', 'dash': 'solid'}, 'name': 'M13 ', 'type': 'scatter', 'uid': 'f582126d-5d02-4b36-8169-ed832d28904c', 'x': array([210.30366, 210.76102, 211.21834, ..., 818.9224 , 819.33886, 819.75528], shape=(1396,)), 'xaxis': 'x3', 'y': array([ 0.01241, 0.01151, 0.00694, ..., -0.00887, 0.00646, -0.0117 ], shape=(1396,)), 'yaxis': 'y3'}, {'line': {'color': '#AB63FA', 'dash': 'solid'}, 'name': 'M14 ', 'type': 'scatter', 'uid': '4bea1214-0473-4759-9c1a-d901eeed54f1', 'x': array([210.30366, 210.76102, 211.21834, ..., 818.9224 , 819.33886, 819.75528], shape=(1396,)), 'xaxis': 'x4', 'y': array([ 0.00614, 0.00901, 0.00475, ..., -0.00626, 0.0061 , -0.0055 ], shape=(1396,)), 'yaxis': 'y4'}, {'line': {'color': '#FFA15A', 'dash': 'solid'}, 'name': 'M21 ', 'type': 'scatter', 'uid': 'dd952b2f-b00b-4f51-bafe-afc65f7c3e76', 'x': array([210.30366, 210.76102, 211.21834, ..., 818.9224 , 819.33886, 819.75528], shape=(1396,)), 'xaxis': 'x5', 'y': array([0.58460385, 0.57994998, 0.58167745, ..., 0.16281466, 0.16307253, 0.16240215], shape=(1396,)), 'yaxis': 'y5'}, {'line': {'color': '#19D3F3', 'dash': 'solid'}, 'name': 'M22 ', 'type': 'scatter', 'uid': 'd6bb590f-9ea3-40ca-9ad1-53bcba881acc', 'x': array([210.30366, 210.76102, 211.21834, ..., 818.9224 , 819.33886, 819.75528], shape=(1396,)), 'xaxis': 'x6', 'y': array([0.00574, 0.00525, 0.00363, ..., 0.00277, 0.00339, 0.00394], shape=(1396,)), 'yaxis': 'y6'}, {'line': {'color': '#FF6692', 'dash': 'solid'}, 'name': 'M23 ', 'type': 'scatter', 'uid': '01717065-776b-4dca-9e67-a4317092db72', 'x': array([210.30366, 210.76102, 211.21834, ..., 818.9224 , 819.33886, 819.75528], shape=(1396,)), 'xaxis': 'x7', 'y': array([ 0.00364, 0.00427, 0.00207, ..., 0.00457, -0.00234, 0.00653], shape=(1396,)), 'yaxis': 'y7'}, {'line': {'color': '#B6E880', 'dash': 'solid'}, 'name': 'M24 ', 'type': 'scatter', 'uid': 'bc497355-f9e9-42aa-9753-95a28392ad10', 'x': array([210.30366, 210.76102, 211.21834, ..., 818.9224 , 819.33886, 819.75528], shape=(1396,)), 'xaxis': 'x8', 'y': array([-0.01084, 0.00325, -0.01123, ..., 0.00263, -0.00227, 0.00311], shape=(1396,)), 'yaxis': 'y8'}, {'line': {'color': '#FF97FF', 'dash': 'solid'}, 'name': 'M31 ', 'type': 'scatter', 'uid': 'b33ae32e-1672-4f1b-979f-7e5e2483b4a0', 'x': array([210.30366, 210.76102, 211.21834, ..., 818.9224 , 819.33886, 819.75528], shape=(1396,)), 'xaxis': 'x9', 'y': array([ 0.00278, 0.00634, 0.00219, ..., -0.00055, 0.00105, -0.00037], shape=(1396,)), 'yaxis': 'y9'}, {'line': {'color': '#FECB52', 'dash': 'solid'}, 'name': 'M32 ', 'type': 'scatter', 'uid': 'c89f7f76-1164-46b7-9ea3-99c7cb399a8c', 'x': array([210.30366, 210.76102, 211.21834, ..., 818.9224 , 819.33886, 819.75528], shape=(1396,)), 'xaxis': 'x10', 'y': array([ 0.00212, 0.00045, -0.0003 , ..., 0.0018 , 0.00042, -0.00037], shape=(1396,)), 'yaxis': 'y10'}, {'line': {'color': '#636EFA', 'dash': 'solid'}, 'name': 'M33 ', 'type': 'scatter', 'uid': '24409b99-a6af-4156-8e97-682f55ab7715', 'x': array([210.30366, 210.76102, 211.21834, ..., 818.9224 , 819.33886, 819.75528], shape=(1396,)), 'xaxis': 'x11', 'y': array([-1.05460026, -1.01894899, -0.99151123, ..., 0.03927327, 0.03885999, 0.03895625], shape=(1396,)), 'yaxis': 'y11'}, {'line': {'color': '#EF553B', 'dash': 'solid'}, 'name': 'M34 ', 'type': 'scatter', 'uid': '390b0524-05f6-43f6-916e-7d4b80c00d4f', 'x': array([210.30366, 210.76102, 211.21834, ..., 818.9224 , 819.33886, 819.75528], shape=(1396,)), 'xaxis': 'x12', 'y': array([-0.56805755, -0.51478422, -0.44957042, ..., 0.06223042, 0.06284858, 0.06231669], shape=(1396,)), 'yaxis': 'y12'}, {'line': {'color': '#00CC96', 'dash': 'solid'}, 'name': 'M41 ', 'type': 'scatter', 'uid': '917db62e-c43c-4037-8b09-95af292ac6f7', 'x': array([210.30366, 210.76102, 211.21834, ..., 818.9224 , 819.33886, 819.75528], shape=(1396,)), 'xaxis': 'x13', 'y': array([-0.00986, -0.00917, -0.00712, ..., 0.00585, -0.00882, 0.00692], shape=(1396,)), 'yaxis': 'y13'}, {'line': {'color': '#AB63FA', 'dash': 'solid'}, 'name': 'M42 ', 'type': 'scatter', 'uid': '7ce43f6f-a737-4275-bccd-a108f8753514', 'x': array([210.30366, 210.76102, 211.21834, ..., 818.9224 , 819.33886, 819.75528], shape=(1396,)), 'xaxis': 'x14', 'y': array([-0.00048, -0.01319, -0.00891, ..., 0.01388, -0.00424, 0.0126 ], shape=(1396,)), 'yaxis': 'y14'}, {'line': {'color': '#FFA15A', 'dash': 'solid'}, 'name': 'M43 ', 'type': 'scatter', 'uid': 'ae0118fc-d9da-477a-adbd-ea355ad027d0', 'x': array([210.30366, 210.76102, 211.21834, ..., 818.9224 , 819.33886, 819.75528], shape=(1396,)), 'xaxis': 'x15', 'y': array([ 0.56824755, 0.51927422, 0.45327042, ..., -0.05975042, -0.06006858, -0.06043669], shape=(1396,)), 'yaxis': 'y15'}, {'line': {'color': '#19D3F3', 'dash': 'solid'}, 'name': 'M44 ', 'type': 'scatter', 'uid': '6263cdde-d1dc-4a57-85b4-9a27fee6ce2c', 'x': array([210.30366, 210.76102, 211.21834, ..., 818.9224 , 819.33886, 819.75528], shape=(1396,)), 'xaxis': 'x16', 'y': array([-1.03998026, -0.99600899, -0.96857123, ..., 0.03420327, 0.05051999, 0.03513625], shape=(1396,)), 'yaxis': 'y16'}], 'layout': {'template': '...', 'xaxis': {'anchor': 'y', 'domain': [0.0, 0.2125], 'matches': 'x'}, 'xaxis10': {'anchor': 'y10', 'domain': [0.2625, 0.475], 'matches': 'x'}, 'xaxis11': {'anchor': 'y11', 'domain': [0.525, 0.7375], 'matches': 'x'}, 'xaxis12': {'anchor': 'y12', 'domain': [0.7875, 1.0], 'matches': 'x'}, 'xaxis13': {'anchor': 'y13', 'domain': [0.0, 0.2125], 'matches': 'x'}, 'xaxis14': {'anchor': 'y14', 'domain': [0.2625, 0.475], 'matches': 'x'}, 'xaxis15': {'anchor': 'y15', 'domain': [0.525, 0.7375], 'matches': 'x'}, 'xaxis16': {'anchor': 'y16', 'domain': [0.7875, 1.0], 'matches': 'x'}, 'xaxis2': {'anchor': 'y2', 'domain': [0.2625, 0.475], 'matches': 'x'}, 'xaxis3': {'anchor': 'y3', 'domain': [0.525, 0.7375], 'matches': 'x'}, 'xaxis4': {'anchor': 'y4', 'domain': [0.7875, 1.0], 'matches': 'x'}, 'xaxis5': {'anchor': 'y5', 'domain': [0.0, 0.2125], 'matches': 'x'}, 'xaxis6': {'anchor': 'y6', 'domain': [0.2625, 0.475], 'matches': 'x'}, 'xaxis7': {'anchor': 'y7', 'domain': [0.525, 0.7375], 'matches': 'x'}, 'xaxis8': {'anchor': 'y8', 'domain': [0.7875, 1.0], 'matches': 'x'}, 'xaxis9': {'anchor': 'y9', 'domain': [0.0, 0.2125], 'matches': 'x'}, 'yaxis': {'anchor': 'x', 'domain': [0.80625, 1.0]}, 'yaxis10': {'anchor': 'x10', 'domain': [0.26875, 0.4625]}, 'yaxis11': {'anchor': 'x11', 'domain': [0.26875, 0.4625]}, 'yaxis12': {'anchor': 'x12', 'domain': [0.26875, 0.4625]}, 'yaxis13': {'anchor': 'x13', 'domain': [0.0, 0.19375]}, 'yaxis14': {'anchor': 'x14', 'domain': [0.0, 0.19375]}, 'yaxis15': {'anchor': 'x15', 'domain': [0.0, 0.19375]}, 'yaxis16': {'anchor': 'x16', 'domain': [0.0, 0.19375]}, 'yaxis2': {'anchor': 'x2', 'domain': [0.80625, 1.0]}, 'yaxis3': {'anchor': 'x3', 'domain': [0.80625, 1.0]}, 'yaxis4': {'anchor': 'x4', 'domain': [0.80625, 1.0]}, 'yaxis5': {'anchor': 'x5', 'domain': [0.5375, 0.73125]}, 'yaxis6': {'anchor': 'x6', 'domain': [0.5375, 0.73125]}, 'yaxis7': {'anchor': 'x7', 'domain': [0.5375, 0.73125]}, 'yaxis8': {'anchor': 'x8', 'domain': [0.5375, 0.73125]}, 'yaxis9': {'anchor': 'x9', 'domain': [0.26875, 0.4625]}} }) .. GENERATED FROM PYTHON SOURCE LINES 95-96 Now we execute a fit and plot the model afterwards. .. GENERATED FROM PYTHON SOURCE LINES 96-99 .. code-block:: Python fit_stats = model.fit() model.plot(full_scale=False) .. rst-class:: sphx-glr-script-out .. code-block:: none FigureWidget({ 'data': [{'line': {'color': '#636EFA', 'dash': 'solid'}, 'name': 'M11 ', 'type': 'scatter', 'uid': '0d11ece5-5544-4067-904d-9d2d48fe7cf4', 'x': array([210.30366, 210.76102, 211.21834, ..., 818.9224 , 819.33886, 819.75528], shape=(1396,)), 'xaxis': 'x', 'y': array([1., 1., 1., ..., 1., 1., 1.], shape=(1396,)), 'yaxis': 'y'}, {'line': {'color': '#636EFA', 'dash': 'dash'}, 'name': 'M11 theory', 'type': 'scatter', 'uid': 'caa04443-1828-43d3-be29-fe9f82ab16b2', 'x': array([210.30366, 210.76102, 211.21834, ..., 818.9224 , 819.33886, 819.75528], shape=(1396,)), 'xaxis': 'x', 'y': array([1., 1., 1., ..., 1., 1., 1.], shape=(1396,)), 'yaxis': 'y'}, {'line': {'color': '#EF553B', 'dash': 'solid'}, 'name': 'M12 ', 'type': 'scatter', 'uid': '569d3d81-9684-45cf-9eb6-a2b109c4a98e', 'x': array([210.30366, 210.76102, 211.21834, ..., 818.9224 , 819.33886, 819.75528], shape=(1396,)), 'xaxis': 'x2', 'y': array([-0.09147, -0.10879, -0.10639, ..., -0.44245, -0.44406, -0.44381], shape=(1396,)), 'yaxis': 'y2'}, {'line': {'color': '#EF553B', 'dash': 'dash'}, 'name': 'M12 theory', 'type': 'scatter', 'uid': '5ef42937-845a-4318-843a-cb49ced75a02', 'x': array([210.30366, 210.76102, 211.21834, ..., 818.9224 , 819.33886, 819.75528], shape=(1396,)), 'xaxis': 'x2', 'y': array([-0.09081776, -0.09659845, -0.10218436, ..., -0.44726608, -0.44776779, -0.44826863], shape=(1396,)), 'yaxis': 'y2'}, {'line': {'color': '#00CC96', 'dash': 'solid'}, 'name': 'M13 ', 'type': 'scatter', 'uid': 'fb6219b3-bd37-416b-b4ee-f0203d3033b8', 'x': array([210.30366, 210.76102, 211.21834, ..., 818.9224 , 819.33886, 819.75528], shape=(1396,)), 'xaxis': 'x3', 'y': array([-0.01241, -0.01151, -0.00694, ..., 0.00887, -0.00646, 0.0117 ], shape=(1396,)), 'yaxis': 'y3'}, {'line': {'color': '#00CC96', 'dash': 'dash'}, 'name': 'M13 theory', 'type': 'scatter', 'uid': '209043b6-ad0a-4a4f-88b5-e2f324d31d37', 'x': array([210.30366, 210.76102, 211.21834, ..., 818.9224 , 819.33886, 819.75528], shape=(1396,)), 'xaxis': 'x3', 'y': array([0., 0., 0., ..., 0., 0., 0.], shape=(1396,)), 'yaxis': 'y3'}, {'line': {'color': '#AB63FA', 'dash': 'solid'}, 'name': 'M14 ', 'type': 'scatter', 'uid': '7ded215c-92b6-4870-83ba-1edd78b7e2fb', 'x': array([210.30366, 210.76102, 211.21834, ..., 818.9224 , 819.33886, 819.75528], shape=(1396,)), 'xaxis': 'x4', 'y': array([-0.00614, -0.00901, -0.00475, ..., 0.00626, -0.0061 , 0.0055 ], shape=(1396,)), 'yaxis': 'y4'}, {'line': {'color': '#AB63FA', 'dash': 'dash'}, 'name': 'M14 theory', 'type': 'scatter', 'uid': 'a12a13fa-0727-4d9d-967e-ea4b88a9a88f', 'x': array([210.30366, 210.76102, 211.21834, ..., 818.9224 , 819.33886, 819.75528], shape=(1396,)), 'xaxis': 'x4', 'y': array([0., 0., 0., ..., 0., 0., 0.], shape=(1396,)), 'yaxis': 'y4'}, {'line': {'color': '#FFA15A', 'dash': 'solid'}, 'name': 'M21 ', 'type': 'scatter', 'uid': '9347d90c-cfcb-4fb3-afb7-372224f03236', 'x': array([210.30366, 210.76102, 211.21834, ..., 818.9224 , 819.33886, 819.75528], shape=(1396,)), 'xaxis': 'x5', 'y': array([-0.09605, -0.09754, -0.10761, ..., -0.44024, -0.44126, -0.44135], shape=(1396,)), 'yaxis': 'y5'}, {'line': {'color': '#FFA15A', 'dash': 'dash'}, 'name': 'M21 theory', 'type': 'scatter', 'uid': '6e4fa35f-3fef-450c-bd25-8131d58ceb57', 'x': array([210.30366, 210.76102, 211.21834, ..., 818.9224 , 819.33886, 819.75528], shape=(1396,)), 'xaxis': 'x5', 'y': array([-0.09081776, -0.09659845, -0.10218436, ..., -0.44726608, -0.44776779, -0.44826863], shape=(1396,)), 'yaxis': 'y5'}, {'line': {'color': '#19D3F3', 'dash': 'solid'}, 'name': 'M22 ', 'type': 'scatter', 'uid': '552afb1a-44b7-48f7-bb77-74f6d40a6f2d', 'x': array([210.30366, 210.76102, 211.21834, ..., 818.9224 , 819.33886, 819.75528], shape=(1396,)), 'xaxis': 'x6', 'y': array([0.99426, 0.99475, 0.99637, ..., 0.99723, 0.99661, 0.99606], shape=(1396,)), 'yaxis': 'y6'}, {'line': {'color': '#19D3F3', 'dash': 'dash'}, 'name': 'M22 theory', 'type': 'scatter', 'uid': '4226338b-99ab-46f8-9155-38ef58567110', 'x': array([210.30366, 210.76102, 211.21834, ..., 818.9224 , 819.33886, 819.75528], shape=(1396,)), 'xaxis': 'x6', 'y': array([1., 1., 1., ..., 1., 1., 1.], shape=(1396,)), 'yaxis': 'y6'}, {'line': {'color': '#FF6692', 'dash': 'solid'}, 'name': 'M23 ', 'type': 'scatter', 'uid': 'a6323a95-a937-4289-81bd-407a4dcb1b46', 'x': array([210.30366, 210.76102, 211.21834, ..., 818.9224 , 819.33886, 819.75528], shape=(1396,)), 'xaxis': 'x7', 'y': array([-0.00364, -0.00427, -0.00207, ..., -0.00457, 0.00234, -0.00653], shape=(1396,)), 'yaxis': 'y7'}, {'line': {'color': '#FF6692', 'dash': 'dash'}, 'name': 'M23 theory', 'type': 'scatter', 'uid': '007ced7d-4f5b-4efd-b6fa-31aadea2778b', 'x': array([210.30366, 210.76102, 211.21834, ..., 818.9224 , 819.33886, 819.75528], shape=(1396,)), 'xaxis': 'x7', 'y': array([0., 0., 0., ..., 0., 0., 0.], shape=(1396,)), 'yaxis': 'y7'}, {'line': {'color': '#B6E880', 'dash': 'solid'}, 'name': 'M24 ', 'type': 'scatter', 'uid': '7c78ec48-1a10-4248-827f-ab3d92eaefb1', 'x': array([210.30366, 210.76102, 211.21834, ..., 818.9224 , 819.33886, 819.75528], shape=(1396,)), 'xaxis': 'x8', 'y': array([ 0.01084, -0.00325, 0.01123, ..., -0.00263, 0.00227, -0.00311], shape=(1396,)), 'yaxis': 'y8'}, {'line': {'color': '#B6E880', 'dash': 'dash'}, 'name': 'M24 theory', 'type': 'scatter', 'uid': '57206a9d-f02a-4bbf-89d9-b2f1a23877e4', 'x': array([210.30366, 210.76102, 211.21834, ..., 818.9224 , 819.33886, 819.75528], shape=(1396,)), 'xaxis': 'x8', 'y': array([0., 0., 0., ..., 0., 0., 0.], shape=(1396,)), 'yaxis': 'y8'}, {'line': {'color': '#FF97FF', 'dash': 'solid'}, 'name': 'M31 ', 'type': 'scatter', 'uid': '4269a578-87c1-4fbe-8bef-18bc81a336a6', 'x': array([210.30366, 210.76102, 211.21834, ..., 818.9224 , 819.33886, 819.75528], shape=(1396,)), 'xaxis': 'x9', 'y': array([-0.00278, -0.00634, -0.00219, ..., 0.00055, -0.00105, 0.00037], shape=(1396,)), 'yaxis': 'y9'}, {'line': {'color': '#FF97FF', 'dash': 'dash'}, 'name': 'M31 theory', 'type': 'scatter', 'uid': 'fae131d0-618f-4246-8cb4-8e710a00e101', 'x': array([210.30366, 210.76102, 211.21834, ..., 818.9224 , 819.33886, 819.75528], shape=(1396,)), 'xaxis': 'x9', 'y': array([0., 0., 0., ..., 0., 0., 0.], shape=(1396,)), 'yaxis': 'y9'}, {'line': {'color': '#FECB52', 'dash': 'solid'}, 'name': 'M32 ', 'type': 'scatter', 'uid': 'e14ef79c-1c5c-47fa-b6c7-f1df078eb4b0', 'x': array([210.30366, 210.76102, 211.21834, ..., 818.9224 , 819.33886, 819.75528], shape=(1396,)), 'xaxis': 'x10', 'y': array([-0.00212, -0.00045, 0.0003 , ..., -0.0018 , -0.00042, 0.00037], shape=(1396,)), 'yaxis': 'y10'}, {'line': {'color': '#FECB52', 'dash': 'dash'}, 'name': 'M32 theory', 'type': 'scatter', 'uid': '67a29b22-b558-41f7-98b2-2ec9447ac365', 'x': array([210.30366, 210.76102, 211.21834, ..., 818.9224 , 819.33886, 819.75528], shape=(1396,)), 'xaxis': 'x10', 'y': array([0., 0., 0., ..., 0., 0., 0.], shape=(1396,)), 'yaxis': 'y10'}, {'line': {'color': '#636EFA', 'dash': 'solid'}, 'name': 'M33 ', 'type': 'scatter', 'uid': 'c4a8f406-5de6-445a-bc07-82abdf2b2905', 'x': array([210.30366, 210.76102, 211.21834, ..., 818.9224 , 819.33886, 819.75528], shape=(1396,)), 'xaxis': 'x11', 'y': array([0.27283, 0.26726, 0.2728 , ..., 0.16236, 0.16271, 0.16255], shape=(1396,)), 'yaxis': 'y11'}, {'line': {'color': '#636EFA', 'dash': 'dash'}, 'name': 'M33 theory', 'type': 'scatter', 'uid': '0c51942f-edb2-47bf-9f4d-1dd3cf9107a8', 'x': array([210.30366, 210.76102, 211.21834, ..., 818.9224 , 819.33886, 819.75528], shape=(1396,)), 'xaxis': 'x11', 'y': array([0.28633493, 0.28495866, 0.28318747, ..., 0.15873433, 0.1585769 , 0.15841941], shape=(1396,)), 'yaxis': 'y11'}, {'line': {'color': '#EF553B', 'dash': 'solid'}, 'name': 'M34 ', 'type': 'scatter', 'uid': '37c2d7c4-f772-4f8c-9ab6-97507e13129c', 'x': array([210.30366, 210.76102, 211.21834, ..., 818.9224 , 819.33886, 819.75528], shape=(1396,)), 'xaxis': 'x12', 'y': array([0.95555, 0.9645 , 0.95821, ..., 0.87712, 0.87629, 0.87661], shape=(1396,)), 'yaxis': 'y12'}, {'line': {'color': '#EF553B', 'dash': 'dash'}, 'name': 'M34 theory', 'type': 'scatter', 'uid': '7e293e59-d3a0-4269-9242-1037c6760d15', 'x': array([210.30366, 210.76102, 211.21834, ..., 818.9224 , 819.33886, 819.75528], shape=(1396,)), 'xaxis': 'x12', 'y': array([0.95381573, 0.95365995, 0.95360538, ..., 0.88020251, 0.87997578, 0.87974912], shape=(1396,)), 'yaxis': 'y12'}, {'line': {'color': '#00CC96', 'dash': 'solid'}, 'name': 'M41 ', 'type': 'scatter', 'uid': '1d9d0bfb-300a-4b9c-99fb-6842dc9db62f', 'x': array([210.30366, 210.76102, 211.21834, ..., 818.9224 , 819.33886, 819.75528], shape=(1396,)), 'xaxis': 'x13', 'y': array([ 0.00986, 0.00917, 0.00712, ..., -0.00585, 0.00882, -0.00692], shape=(1396,)), 'yaxis': 'y13'}, {'line': {'color': '#00CC96', 'dash': 'dash'}, 'name': 'M41 theory', 'type': 'scatter', 'uid': 'e2169ff1-db01-450f-905f-a6476efcc509', 'x': array([210.30366, 210.76102, 211.21834, ..., 818.9224 , 819.33886, 819.75528], shape=(1396,)), 'xaxis': 'x13', 'y': array([0., 0., 0., ..., 0., 0., 0.], shape=(1396,)), 'yaxis': 'y13'}, {'line': {'color': '#AB63FA', 'dash': 'solid'}, 'name': 'M42 ', 'type': 'scatter', 'uid': '8012fe70-9a24-403e-a9fb-40d3b071c5ee', 'x': array([210.30366, 210.76102, 211.21834, ..., 818.9224 , 819.33886, 819.75528], shape=(1396,)), 'xaxis': 'x14', 'y': array([ 0.00048, 0.01319, 0.00891, ..., -0.01388, 0.00424, -0.0126 ], shape=(1396,)), 'yaxis': 'y14'}, {'line': {'color': '#AB63FA', 'dash': 'dash'}, 'name': 'M42 theory', 'type': 'scatter', 'uid': '2d0ab939-6b1d-490c-90a5-fda974e0383c', 'x': array([210.30366, 210.76102, 211.21834, ..., 818.9224 , 819.33886, 819.75528], shape=(1396,)), 'xaxis': 'x14', 'y': array([0., 0., 0., ..., 0., 0., 0.], shape=(1396,)), 'yaxis': 'y14'}, {'line': {'color': '#FFA15A', 'dash': 'solid'}, 'name': 'M43 ', 'type': 'scatter', 'uid': '221c9054-d59f-4a62-911c-150bdf379e52', 'x': array([210.30366, 210.76102, 211.21834, ..., 818.9224 , 819.33886, 819.75528], shape=(1396,)), 'xaxis': 'x15', 'y': array([-0.95574, -0.96899, -0.96191, ..., -0.8796 , -0.87907, -0.87849], shape=(1396,)), 'yaxis': 'y15'}, {'line': {'color': '#FFA15A', 'dash': 'dash'}, 'name': 'M43 theory', 'type': 'scatter', 'uid': '3a118aa3-eafe-4560-8ea8-a2e78f0b5651', 'x': array([210.30366, 210.76102, 211.21834, ..., 818.9224 , 819.33886, 819.75528], shape=(1396,)), 'xaxis': 'x15', 'y': array([-0.95381573, -0.95365995, -0.95360538, ..., -0.88020251, -0.87997578, -0.87974912], shape=(1396,)), 'yaxis': 'y15'}, {'line': {'color': '#19D3F3', 'dash': 'solid'}, 'name': 'M44 ', 'type': 'scatter', 'uid': 'c8e180fd-3311-4fd4-84c1-c8ef474f49d1', 'x': array([210.30366, 210.76102, 211.21834, ..., 818.9224 , 819.33886, 819.75528], shape=(1396,)), 'xaxis': 'x16', 'y': array([0.25821, 0.24432, 0.24986, ..., 0.16743, 0.15105, 0.16637], shape=(1396,)), 'yaxis': 'y16'}, {'line': {'color': '#19D3F3', 'dash': 'dash'}, 'name': 'M44 theory', 'type': 'scatter', 'uid': '7b754bc5-4e8b-4168-a617-649b39333e0c', 'x': array([210.30366, 210.76102, 211.21834, ..., 818.9224 , 819.33886, 819.75528], shape=(1396,)), 'xaxis': 'x16', 'y': array([0.28633493, 0.28495866, 0.28318747, ..., 0.15873433, 0.1585769 , 0.15841941], shape=(1396,)), 'yaxis': 'y16'}], 'layout': {'template': '...', 'xaxis': {'anchor': 'y', 'domain': [0.0, 0.2125], 'matches': 'x'}, 'xaxis10': {'anchor': 'y10', 'domain': [0.2625, 0.475], 'matches': 'x'}, 'xaxis11': {'anchor': 'y11', 'domain': [0.525, 0.7375], 'matches': 'x'}, 'xaxis12': {'anchor': 'y12', 'domain': [0.7875, 1.0], 'matches': 'x'}, 'xaxis13': {'anchor': 'y13', 'domain': [0.0, 0.2125], 'matches': 'x'}, 'xaxis14': {'anchor': 'y14', 'domain': [0.2625, 0.475], 'matches': 'x'}, 'xaxis15': {'anchor': 'y15', 'domain': [0.525, 0.7375], 'matches': 'x'}, 'xaxis16': {'anchor': 'y16', 'domain': [0.7875, 1.0], 'matches': 'x'}, 'xaxis2': {'anchor': 'y2', 'domain': [0.2625, 0.475], 'matches': 'x'}, 'xaxis3': {'anchor': 'y3', 'domain': [0.525, 0.7375], 'matches': 'x'}, 'xaxis4': {'anchor': 'y4', 'domain': [0.7875, 1.0], 'matches': 'x'}, 'xaxis5': {'anchor': 'y5', 'domain': [0.0, 0.2125], 'matches': 'x'}, 'xaxis6': {'anchor': 'y6', 'domain': [0.2625, 0.475], 'matches': 'x'}, 'xaxis7': {'anchor': 'y7', 'domain': [0.525, 0.7375], 'matches': 'x'}, 'xaxis8': {'anchor': 'y8', 'domain': [0.7875, 1.0], 'matches': 'x'}, 'xaxis9': {'anchor': 'y9', 'domain': [0.0, 0.2125], 'matches': 'x'}, 'yaxis': {'anchor': 'x', 'domain': [0.80625, 1.0]}, 'yaxis10': {'anchor': 'x10', 'domain': [0.26875, 0.4625]}, 'yaxis11': {'anchor': 'x11', 'domain': [0.26875, 0.4625]}, 'yaxis12': {'anchor': 'x12', 'domain': [0.26875, 0.4625]}, 'yaxis13': {'anchor': 'x13', 'domain': [0.0, 0.19375]}, 'yaxis14': {'anchor': 'x14', 'domain': [0.0, 0.19375]}, 'yaxis15': {'anchor': 'x15', 'domain': [0.0, 0.19375]}, 'yaxis16': {'anchor': 'x16', 'domain': [0.0, 0.19375]}, 'yaxis2': {'anchor': 'x2', 'domain': [0.80625, 1.0]}, 'yaxis3': {'anchor': 'x3', 'domain': [0.80625, 1.0]}, 'yaxis4': {'anchor': 'x4', 'domain': [0.80625, 1.0]}, 'yaxis5': {'anchor': 'x5', 'domain': [0.5375, 0.73125]}, 'yaxis6': {'anchor': 'x6', 'domain': [0.5375, 0.73125]}, 'yaxis7': {'anchor': 'x7', 'domain': [0.5375, 0.73125]}, 'yaxis8': {'anchor': 'x8', 'domain': [0.5375, 0.73125]}, 'yaxis9': {'anchor': 'x9', 'domain': [0.26875, 0.4625]}} }) .. GENERATED FROM PYTHON SOURCE LINES 100-102 For comparison we plot the residual again to have a figure of merit for the fit quality .. GENERATED FROM PYTHON SOURCE LINES 102-104 .. code-block:: Python model.plot_residual() .. rst-class:: sphx-glr-script-out .. code-block:: none FigureWidget({ 'data': [{'line': {'color': '#636EFA', 'dash': 'solid'}, 'name': 'M11 ', 'type': 'scatter', 'uid': '4f692ce0-8e6b-4633-baff-ea1af60c34d2', 'x': array([210.30366, 210.76102, 211.21834, ..., 818.9224 , 819.33886, 819.75528], shape=(1396,)), 'xaxis': 'x', 'y': array([0., 0., 0., ..., 0., 0., 0.], shape=(1396,)), 'yaxis': 'y'}, {'line': {'color': '#EF553B', 'dash': 'solid'}, 'name': 'M12 ', 'type': 'scatter', 'uid': '528ed97b-4e6e-4e25-81e1-bcb99dfb17f0', 'x': array([210.30366, 210.76102, 211.21834, ..., 818.9224 , 819.33886, 819.75528], shape=(1396,)), 'xaxis': 'x2', 'y': array([ 0.00065224, 0.01219155, 0.00420564, ..., -0.00481608, -0.00370779, -0.00445863], shape=(1396,)), 'yaxis': 'y2'}, {'line': {'color': '#00CC96', 'dash': 'solid'}, 'name': 'M13 ', 'type': 'scatter', 'uid': '7e9d401a-66ac-4101-b356-940f4f39d8ea', 'x': array([210.30366, 210.76102, 211.21834, ..., 818.9224 , 819.33886, 819.75528], shape=(1396,)), 'xaxis': 'x3', 'y': array([ 0.01241, 0.01151, 0.00694, ..., -0.00887, 0.00646, -0.0117 ], shape=(1396,)), 'yaxis': 'y3'}, {'line': {'color': '#AB63FA', 'dash': 'solid'}, 'name': 'M14 ', 'type': 'scatter', 'uid': '2fbafc34-b311-4bcb-98d7-a946b5735e8d', 'x': array([210.30366, 210.76102, 211.21834, ..., 818.9224 , 819.33886, 819.75528], shape=(1396,)), 'xaxis': 'x4', 'y': array([ 0.00614, 0.00901, 0.00475, ..., -0.00626, 0.0061 , -0.0055 ], shape=(1396,)), 'yaxis': 'y4'}, {'line': {'color': '#FFA15A', 'dash': 'solid'}, 'name': 'M21 ', 'type': 'scatter', 'uid': '212e895e-47a9-4edd-bd27-077007a3cce4', 'x': array([210.30366, 210.76102, 211.21834, ..., 818.9224 , 819.33886, 819.75528], shape=(1396,)), 'xaxis': 'x5', 'y': array([ 0.00523224, 0.00094155, 0.00542564, ..., -0.00702608, -0.00650779, -0.00691863], shape=(1396,)), 'yaxis': 'y5'}, {'line': {'color': '#19D3F3', 'dash': 'solid'}, 'name': 'M22 ', 'type': 'scatter', 'uid': 'a202ffb1-703f-4f2e-9cb6-6b27b9e69bf0', 'x': array([210.30366, 210.76102, 211.21834, ..., 818.9224 , 819.33886, 819.75528], shape=(1396,)), 'xaxis': 'x6', 'y': array([0.00574, 0.00525, 0.00363, ..., 0.00277, 0.00339, 0.00394], shape=(1396,)), 'yaxis': 'y6'}, {'line': {'color': '#FF6692', 'dash': 'solid'}, 'name': 'M23 ', 'type': 'scatter', 'uid': '09766fd6-8f05-45fa-87c0-bedeec95d139', 'x': array([210.30366, 210.76102, 211.21834, ..., 818.9224 , 819.33886, 819.75528], shape=(1396,)), 'xaxis': 'x7', 'y': array([ 0.00364, 0.00427, 0.00207, ..., 0.00457, -0.00234, 0.00653], shape=(1396,)), 'yaxis': 'y7'}, {'line': {'color': '#B6E880', 'dash': 'solid'}, 'name': 'M24 ', 'type': 'scatter', 'uid': 'd622a00c-cd59-4c6e-9abb-8d3ef99ac59e', 'x': array([210.30366, 210.76102, 211.21834, ..., 818.9224 , 819.33886, 819.75528], shape=(1396,)), 'xaxis': 'x8', 'y': array([-0.01084, 0.00325, -0.01123, ..., 0.00263, -0.00227, 0.00311], shape=(1396,)), 'yaxis': 'y8'}, {'line': {'color': '#FF97FF', 'dash': 'solid'}, 'name': 'M31 ', 'type': 'scatter', 'uid': 'b1eaa6f0-e0a7-4d9b-b6fd-4e0156a07d6e', 'x': array([210.30366, 210.76102, 211.21834, ..., 818.9224 , 819.33886, 819.75528], shape=(1396,)), 'xaxis': 'x9', 'y': array([ 0.00278, 0.00634, 0.00219, ..., -0.00055, 0.00105, -0.00037], shape=(1396,)), 'yaxis': 'y9'}, {'line': {'color': '#FECB52', 'dash': 'solid'}, 'name': 'M32 ', 'type': 'scatter', 'uid': '9428a95a-b2d4-44c0-b91e-e6efcd7c39fa', 'x': array([210.30366, 210.76102, 211.21834, ..., 818.9224 , 819.33886, 819.75528], shape=(1396,)), 'xaxis': 'x10', 'y': array([ 0.00212, 0.00045, -0.0003 , ..., 0.0018 , 0.00042, -0.00037], shape=(1396,)), 'yaxis': 'y10'}, {'line': {'color': '#636EFA', 'dash': 'solid'}, 'name': 'M33 ', 'type': 'scatter', 'uid': '338aabd5-e443-4a34-b4e9-7377af067128', 'x': array([210.30366, 210.76102, 211.21834, ..., 818.9224 , 819.33886, 819.75528], shape=(1396,)), 'xaxis': 'x11', 'y': array([ 0.01350493, 0.01769866, 0.01038747, ..., -0.00362567, -0.0041331 , -0.00413059], shape=(1396,)), 'yaxis': 'y11'}, {'line': {'color': '#EF553B', 'dash': 'solid'}, 'name': 'M34 ', 'type': 'scatter', 'uid': 'c5cc1001-96f5-4d7d-a92f-ac29ff9b0a53', 'x': array([210.30366, 210.76102, 211.21834, ..., 818.9224 , 819.33886, 819.75528], shape=(1396,)), 'xaxis': 'x12', 'y': array([-0.00173427, -0.01084005, -0.00460462, ..., 0.00308251, 0.00368578, 0.00313912], shape=(1396,)), 'yaxis': 'y12'}, {'line': {'color': '#00CC96', 'dash': 'solid'}, 'name': 'M41 ', 'type': 'scatter', 'uid': 'ef810b0b-d955-461a-8dd3-65e6d956fd41', 'x': array([210.30366, 210.76102, 211.21834, ..., 818.9224 , 819.33886, 819.75528], shape=(1396,)), 'xaxis': 'x13', 'y': array([-0.00986, -0.00917, -0.00712, ..., 0.00585, -0.00882, 0.00692], shape=(1396,)), 'yaxis': 'y13'}, {'line': {'color': '#AB63FA', 'dash': 'solid'}, 'name': 'M42 ', 'type': 'scatter', 'uid': 'bece4ee4-8a5f-4df6-b116-101698a32250', 'x': array([210.30366, 210.76102, 211.21834, ..., 818.9224 , 819.33886, 819.75528], shape=(1396,)), 'xaxis': 'x14', 'y': array([-0.00048, -0.01319, -0.00891, ..., 0.01388, -0.00424, 0.0126 ], shape=(1396,)), 'yaxis': 'y14'}, {'line': {'color': '#FFA15A', 'dash': 'solid'}, 'name': 'M43 ', 'type': 'scatter', 'uid': '17d63155-93ec-4bb4-b031-5cf50db210f2', 'x': array([210.30366, 210.76102, 211.21834, ..., 818.9224 , 819.33886, 819.75528], shape=(1396,)), 'xaxis': 'x15', 'y': array([ 0.00192427, 0.01533005, 0.00830462, ..., -0.00060251, -0.00090578, -0.00125912], shape=(1396,)), 'yaxis': 'y15'}, {'line': {'color': '#19D3F3', 'dash': 'solid'}, 'name': 'M44 ', 'type': 'scatter', 'uid': '69b364a1-d1a7-4105-b5e5-b834bd6fcef3', 'x': array([210.30366, 210.76102, 211.21834, ..., 818.9224 , 819.33886, 819.75528], shape=(1396,)), 'xaxis': 'x16', 'y': array([ 0.02812493, 0.04063866, 0.03332747, ..., -0.00869567, 0.0075269 , -0.00795059], shape=(1396,)), 'yaxis': 'y16'}], 'layout': {'template': '...', 'xaxis': {'anchor': 'y', 'domain': [0.0, 0.2125], 'matches': 'x'}, 'xaxis10': {'anchor': 'y10', 'domain': [0.2625, 0.475], 'matches': 'x'}, 'xaxis11': {'anchor': 'y11', 'domain': [0.525, 0.7375], 'matches': 'x'}, 'xaxis12': {'anchor': 'y12', 'domain': [0.7875, 1.0], 'matches': 'x'}, 'xaxis13': {'anchor': 'y13', 'domain': [0.0, 0.2125], 'matches': 'x'}, 'xaxis14': {'anchor': 'y14', 'domain': [0.2625, 0.475], 'matches': 'x'}, 'xaxis15': {'anchor': 'y15', 'domain': [0.525, 0.7375], 'matches': 'x'}, 'xaxis16': {'anchor': 'y16', 'domain': [0.7875, 1.0], 'matches': 'x'}, 'xaxis2': {'anchor': 'y2', 'domain': [0.2625, 0.475], 'matches': 'x'}, 'xaxis3': {'anchor': 'y3', 'domain': [0.525, 0.7375], 'matches': 'x'}, 'xaxis4': {'anchor': 'y4', 'domain': [0.7875, 1.0], 'matches': 'x'}, 'xaxis5': {'anchor': 'y5', 'domain': [0.0, 0.2125], 'matches': 'x'}, 'xaxis6': {'anchor': 'y6', 'domain': [0.2625, 0.475], 'matches': 'x'}, 'xaxis7': {'anchor': 'y7', 'domain': [0.525, 0.7375], 'matches': 'x'}, 'xaxis8': {'anchor': 'y8', 'domain': [0.7875, 1.0], 'matches': 'x'}, 'xaxis9': {'anchor': 'y9', 'domain': [0.0, 0.2125], 'matches': 'x'}, 'yaxis': {'anchor': 'x', 'domain': [0.80625, 1.0]}, 'yaxis10': {'anchor': 'x10', 'domain': [0.26875, 0.4625]}, 'yaxis11': {'anchor': 'x11', 'domain': [0.26875, 0.4625]}, 'yaxis12': {'anchor': 'x12', 'domain': [0.26875, 0.4625]}, 'yaxis13': {'anchor': 'x13', 'domain': [0.0, 0.19375]}, 'yaxis14': {'anchor': 'x14', 'domain': [0.0, 0.19375]}, 'yaxis15': {'anchor': 'x15', 'domain': [0.0, 0.19375]}, 'yaxis16': {'anchor': 'x16', 'domain': [0.0, 0.19375]}, 'yaxis2': {'anchor': 'x2', 'domain': [0.80625, 1.0]}, 'yaxis3': {'anchor': 'x3', 'domain': [0.80625, 1.0]}, 'yaxis4': {'anchor': 'x4', 'domain': [0.80625, 1.0]}, 'yaxis5': {'anchor': 'x5', 'domain': [0.5375, 0.73125]}, 'yaxis6': {'anchor': 'x6', 'domain': [0.5375, 0.73125]}, 'yaxis7': {'anchor': 'x7', 'domain': [0.5375, 0.73125]}, 'yaxis8': {'anchor': 'x8', 'domain': [0.5375, 0.73125]}, 'yaxis9': {'anchor': 'x9', 'domain': [0.26875, 0.4625]}} }) .. GENERATED FROM PYTHON SOURCE LINES 105-106 We may also print the fit statistics. .. GENERATED FROM PYTHON SOURCE LINES 106-108 .. code-block:: Python fit_stats .. raw:: html

Fit Result



.. GENERATED FROM PYTHON SOURCE LINES 109-113 References ---------- `Here `_ you can find the latest jupyter notebook and data files of this example. .. rst-class:: sphx-glr-timing **Total running time of the script:** (0 minutes 26.153 seconds) .. _sphx_glr_download_auto_examples_plot_SiO2_Si_MM.py: .. only:: html .. container:: sphx-glr-footer sphx-glr-footer-example .. container:: sphx-glr-download sphx-glr-download-jupyter :download:`Download Jupyter notebook: plot_SiO2_Si_MM.ipynb ` .. container:: sphx-glr-download sphx-glr-download-python :download:`Download Python source code: plot_SiO2_Si_MM.py ` .. container:: sphx-glr-download sphx-glr-download-zip :download:`Download zipped: plot_SiO2_Si_MM.zip `