easyscience · henrikjacobsenfys · Jun 22, 2026 · Jun 23, 2026 · Jun 23, 2026 · Jun 23, 2026
diff --git a/docs/docs/tutorials/analysis.ipynb b/docs/docs/tutorials/analysis.ipynb
@@ -338,7 +338,7 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3",
+   "display_name": "default",
    "language": "python",
    "name": "python3"
   },
@@ -352,9 +352,9 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.14.4"
+   "version": "3.14.5"
   }
  },
  "nbformat": 4,
  "nbformat_minor": 5
-}
+}
diff --git a/docs/docs/tutorials/analysis1d.ipynb b/docs/docs/tutorials/analysis1d.ipynb
@@ -81,7 +81,7 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3",
+   "display_name": "default",
    "language": "python",
    "name": "python3"
   },
@@ -100,4 +100,4 @@
  },
  "nbformat": 4,
  "nbformat_minor": 5
-}
+}
diff --git a/docs/docs/tutorials/component_collection.ipynb b/docs/docs/tutorials/component_collection.ipynb
@@ -67,7 +67,7 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3",
+   "display_name": "default",
    "language": "python",
    "name": "python3"
   },
@@ -81,9 +81,9 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.14.4"
+   "version": "3.14.5"
   }
  },
  "nbformat": 4,
  "nbformat_minor": 5
-}
+}
diff --git a/docs/docs/tutorials/components.ipynb b/docs/docs/tutorials/components.ipynb
@@ -172,7 +172,7 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3",
+   "display_name": "default",
    "language": "python",
    "name": "python3"
   },
@@ -191,4 +191,4 @@
  },
  "nbformat": 4,
  "nbformat_minor": 5
-}
+}
diff --git a/docs/docs/tutorials/convolution.ipynb b/docs/docs/tutorials/convolution.ipynb
@@ -210,7 +210,7 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3",
+   "display_name": "default",
    "language": "python",
    "name": "python3"
   },
@@ -224,9 +224,9 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.14.4"
+   "version": "3.14.5"
   }
  },
  "nbformat": 4,
  "nbformat_minor": 5
-}
+}
diff --git a/docs/docs/tutorials/data/fake_advanced_data.hdf5 b/docs/docs/tutorials/data/fake_advanced_data.hdf5
diff --git a/docs/docs/tutorials/data/fake_simple_data.hdf5 b/docs/docs/tutorials/data/fake_simple_data.hdf5
diff --git a/docs/docs/tutorials/delta_lorentz.ipynb b/docs/docs/tutorials/delta_lorentz.ipynb
@@ -96,7 +96,7 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3",
+   "display_name": "default",
    "language": "python",
    "name": "python3"
   },
@@ -110,9 +110,9 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.14.4"
+   "version": "3.14.5"
   }
  },
  "nbformat": 4,
  "nbformat_minor": 5
-}
+}
diff --git a/docs/docs/tutorials/detailed_balance.ipynb b/docs/docs/tutorials/detailed_balance.ipynb
@@ -86,7 +86,7 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "easydynamics_newbase",
+   "display_name": "default",
    "language": "python",
    "name": "python3"
   },
@@ -100,7 +100,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.12.12"
+   "version": "3.14.5"
   }
  },
  "nbformat": 4,

diff --git a/docs/docs/tutorials/diffusion_model.ipynb b/docs/docs/tutorials/diffusion_model.ipynb
@@ -85,7 +85,7 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3",
+   "display_name": "default",
    "language": "python",
    "name": "python3"
   },
@@ -99,9 +99,9 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.14.4"
+   "version": "3.14.5"
   }
  },
  "nbformat": 4,
  "nbformat_minor": 5
-}
+}
diff --git a/docs/docs/tutorials/experiment.ipynb b/docs/docs/tutorials/experiment.ipynb
@@ -84,9 +84,9 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.12.12"
+   "version": "3.14.5"
   }
  },
  "nbformat": 4,
  "nbformat_minor": 5
-}
+}
diff --git a/docs/docs/tutorials/instrument_model.ipynb b/docs/docs/tutorials/instrument_model.ipynb
@@ -89,9 +89,9 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.12.12"
+   "version": "3.14.5"
   }
  },
  "nbformat": 4,
  "nbformat_minor": 5
-}
+}
diff --git a/docs/docs/tutorials/sample_model.ipynb b/docs/docs/tutorials/sample_model.ipynb
@@ -61,7 +61,7 @@
     "    diffusion_models=diffusion_model,\n",
     "    components=component_collection,\n",
     "    Q=Q,\n",
-    "    unit='meV',\n",
+    "    x_unit='meV',\n",
     "    display_name='MySampleModel',\n",
     "    temperature=10,\n",
     ")\n",
@@ -127,7 +127,7 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3",
+   "display_name": "default",
    "language": "python",
    "name": "python3"
   },
@@ -146,4 +146,4 @@
  },
  "nbformat": 4,
  "nbformat_minor": 5
-}
+}
diff --git a/docs/docs/tutorials/tutorial0_basics.ipynb b/docs/docs/tutorials/tutorial0_basics.ipynb
@@ -385,28 +385,15 @@
    "cell_type": "markdown",
    "id": "842c1f01",
    "metadata": {},
-   "source": [
-    "The final step in this tutorial is to fit the are of the `Gaussian` to a straight line. For this, we use the `ParameterAnalysis` class. We create a `Polynomial` with two coefficients for the fit function. We create a `FitBinding`, telling the class we want to fit the parameter named `Gaussian area` with the fit function that we define."
-   ]
+   "source": "The final step in this tutorial is to fit the area of the `Gaussian` as a function of Q using a straight line. For this, we use the `ParameterAnalysis` class.\n\nWe create a `Polynomial` with two coefficients as the fit function. We then create a `FitBinding` to connect the parameter named `Gaussian area` to the fit function, and pass both to a `ParameterAnalysis` object:\n\n<details>\n  <summary><strong>Note</strong></summary>\n<div style=\"border-left: 4px solid #2196F3; background:#e3f2fd; padding:10px;\">\nTwo units must be set on the fit function:\n\n- `x_unit='1/angstrom'` — because `ParameterAnalysis` always uses Q as its x-axis.\n- `y_unit='meV'` — because we are fitting `Gaussian area`, which has unit `meV`.\n</div>\n</details>"
   },
   {
    "cell_type": "code",
    "execution_count": null,
    "id": "75db3d4c",
    "metadata": {},
    "outputs": [],
-   "source": [
-    "fit_func = sm.Polynomial(\n",
-    "    coefficients=[3.7, -0.5], name='Straight line', display_name='Straight line'\n",
-    ")\n",
-    "\n",
-    "binding = edyn.FitBinding(parameter_name='Gaussian area', model=fit_func)\n",
-    "\n",
-    "parameter_analysis = edyn.ParameterAnalysis(\n",
-    "    parameters=analysis,\n",
-    "    bindings=[binding],\n",
-    ")"
-   ]
+   "source": "fit_func = sm.Polynomial(\n    coefficients=[3.7, -0.5],\n    x_unit='1/angstrom',\n    y_unit='meV',\n    name='Straight line',\n)\n\nbinding = edyn.FitBinding(parameter_name='Gaussian area', model=fit_func)\n\nparameter_analysis = edyn.ParameterAnalysis(\n    parameters=analysis,\n    bindings=[binding],\n)"
   },
   {
    "cell_type": "markdown",
@@ -450,7 +437,7 @@
    "id": "dc33728c",
    "metadata": {},
    "source": [
-    "To see the parameters we can use the `get_all_parameters()` method. We can also see only the parameters that can be fitted:"
+    "To see the parameters we can use the `get_all_parameters()` method. We can also see only the parameters that can be fitted using `get_fittable_parameters`:"
    ]
   },
   {
@@ -476,7 +463,7 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3",
+   "display_name": "default",
    "language": "python",
    "name": "python3"
   },
@@ -495,4 +482,4 @@
  },
  "nbformat": 4,
  "nbformat_minor": 5
-}
+}
diff --git a/docs/docs/tutorials/tutorial0_more_advanced.ipynb b/docs/docs/tutorials/tutorial0_more_advanced.ipynb
@@ -299,9 +299,7 @@
    "cell_type": "markdown",
    "id": "0eadbd91",
    "metadata": {},
-   "source": [
-    "With apologies for the lack of creativity, these all appear like straight lines. We can fit them individually or all together using `ParameterAnalysis`"
-   ]
+   "source": "With apologies for the lack of creativity, these all appear like straight lines. We can fit them individually or all together using `ParameterAnalysis`.\n\nFor each parameter we want to fit, we create a fit function (here a `Polynomial`) and a `FitBinding` connecting the parameter name to the fit function. We then pass all bindings to a single `ParameterAnalysis` object:\n\n<details>\n  <summary><strong>Note</strong></summary>\n<div style=\"border-left: 4px solid #2196F3; background:#e3f2fd; padding:10px;\">\nTwo units must be set on each fit function:\n\n- `x_unit='1/angstrom'` — because `ParameterAnalysis` always uses Q as its x-axis.\n- `y_unit='meV'` — because all three parameters (`Gaussian area`, `DHO area`, `DHO center`) have unit `meV`.\n</div>\n</details>"
   },
   {
    "cell_type": "code",
@@ -310,10 +308,14 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "gauss_fit_func = sm.Polynomial(coefficients=[3.7, -0.5], unit='1/angstrom', name='Gauss area fit')\n",
-    "dho_area_fit_func = sm.Polynomial(coefficients=[2.0, 0.12], unit='1/angstrom', name='DHO area fit')\n",
+    "gauss_fit_func = sm.Polynomial(\n",
+    "    coefficients=[3.7, -0.5], x_unit='1/angstrom', y_unit='meV', name='Gauss area fit'\n",
+    ")\n",
+    "dho_area_fit_func = sm.Polynomial(\n",
+    "    coefficients=[2.0, 0.12], x_unit='1/angstrom', y_unit='meV', name='DHO area fit'\n",
+    ")\n",
     "dho_center_fit_func = sm.Polynomial(\n",
-    "    coefficients=[1.1, 0.2], unit='1/angstrom', name='DHO center fit'\n",
+    "    coefficients=[1.1, 0.2], x_unit='1/angstrom', y_unit='meV', name='DHO center fit'\n",
     ")\n",
     "\n",
     "binding1 = edyn.FitBinding(parameter_name='Gaussian area', model=gauss_fit_func)\n",
@@ -335,7 +337,7 @@
    "id": "32bc1efc",
    "metadata": {},
    "source": [
-    "The start guesses look reasonable, so we fit:"
+    "The start guesses look reasonable, so we fit and plot the result:"
    ]
   },
   {
@@ -352,7 +354,7 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3",
+   "display_name": "default",
    "language": "python",
    "name": "python3"
   },
@@ -371,4 +373,4 @@
  },
  "nbformat": 4,
  "nbformat_minor": 5
-}
+}
diff --git a/docs/docs/tutorials/tutorial1_brownian.ipynb b/docs/docs/tutorials/tutorial1_brownian.ipynb
@@ -691,7 +691,7 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3",
+   "display_name": "default",
    "language": "python",
    "name": "python3"
   },

diff --git a/docs/docs/tutorials/tutorial2_nanoparticles.ipynb b/docs/docs/tutorials/tutorial2_nanoparticles.ipynb
@@ -593,7 +593,7 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3",
+   "display_name": "default",
    "language": "python",
    "name": "python3"
   },