Unit overhaul 5/6: Redesign FitBinding around FitTargets

docs/docs/tutorials/tutorial0_basics.ipynb

@@ -416,7 +416,7 @@
     "    name='Straight line',\n",
     ")\n",
     "\n",
-    "binding = edyn.FitBinding(parameter_name='Gaussian area', model=fit_func)\n",
+    "binding = edyn.FitBinding(model=fit_func, targets='Gaussian area')\n",
     "\n",
     "parameter_analysis = edyn.ParameterAnalysis(\n",
     "    parameters=analysis,\n",

docs/docs/tutorials/tutorial0_more_advanced.ipynb

@@ -339,11 +339,11 @@
     "    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",
+    "binding1 = edyn.FitBinding(model=gauss_fit_func, targets='Gaussian area')\n",
     "\n",
-    "binding2 = edyn.FitBinding(parameter_name='DHO area', model=dho_area_fit_func)\n",
+    "binding2 = edyn.FitBinding(model=dho_area_fit_func, targets='DHO area')\n",
     "\n",
-    "binding3 = edyn.FitBinding(parameter_name='DHO center', model=dho_center_fit_func)\n",
+    "binding3 = edyn.FitBinding(model=dho_center_fit_func, targets='DHO center')\n",
     "\n",
     "parameter_analysis = edyn.ParameterAnalysis(\n",
     "    parameters=analysis,\n",

docs/docs/tutorials/tutorial1_brownian.ipynb

@@ -451,7 +451,7 @@
     "$$\n",
     "where $\\Gamma(Q) = D Q^2$ and $D$ is the diffusion coefficient. $S$ is an overall scale.\n",
     "\n",
-    "To fit the Brownian translational diffusion model to the data, we use the `ParameterAnalysis`. This time, we wish to fit the `Lorentzian`, and we wish to fit both its area (scale, $S$) and width to the diffusion model. We do this by creating a `FitBinding`, saying we want to fit both the area an width of the component called `Lorentzian`"
+    "To fit the Brownian translational diffusion model to the data, we use the `ParameterAnalysis`. This time, we wish to fit the `Lorentzian`, and we wish to fit both its area (scale, $S$) and width to the diffusion model. We do this by creating a `FitBinding`. Because the diffusion model's `lorentzian_name` matches the fitted component's name, the default targets automatically fit both the area and the width against the `Lorentzian area` and `Lorentzian width` parameters"
    ]
   },
   {
@@ -462,18 +462,17 @@
    "outputs": [],
    "source": [
     "brownian_diffusion_model = sm.BrownianTranslationalDiffusion(\n",
-    "    name='Brownian Translational Diffusion', diffusion_coefficient=2.4e-9, scale=0.5\n",
+    "    name='Brownian Translational Diffusion',\n",
+    "    lorentzian_name='Lorentzian',\n",
+    "    diffusion_coefficient=2.4e-9,\n",
+    "    scale=0.5,\n",
     ")\n",
     "\n",
-    "binding = edyn.FitBinding(\n",
-    "    parameter_name='Lorentzian',\n",
-    "    model=brownian_diffusion_model,\n",
-    "    modes=['area', 'width'],\n",
-    ")\n",
+    "binding = edyn.FitBinding(model=brownian_diffusion_model)\n",
     "\n",
     "parameter_analysis = edyn.ParameterAnalysis(\n",
     "    parameters=diffusion_analysis,\n",
-    "    bindings=[binding],\n",
+    "    bindings=binding,\n",
     ")"
    ]
   },
@@ -495,16 +494,6 @@
     "parameter_analysis.plot()"
    ]
   },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "57b76d06",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "parameter_analysis.plot(names=['Polynomial_c0'])"
-   ]
-  },
   {
    "cell_type": "markdown",
    "id": "64babb01",
@@ -691,7 +680,7 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3",
+   "display_name": "default",
    "language": "python",
    "name": "python3"
   },
@@ -705,7 +694,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.14.5"
+   "version": "3.14.6"
   }
  },
  "nbformat": 4,