Implemented basic fitting.

README.md

@@ -5,12 +5,15 @@ A module for the [nqrduck](https://github.com/nqrduck/nqrduck) project. This mod
 ## Installation
 
 ### Requirements
+
 Dependencies are handled via the pyproject.toml file.
 
 ### Setup
+
 To install the module you need the NQRduck core. You can find the installation instructions for the NQRduck core [here](https://github.com/nqrduck/nqrduck).
 
 Ideally you should install the module in a virtual environment. You can create a virtual environment by running the following command in the terminal:
+
 ```bash
 python -m venv nqrduck
 # Activate the virtual environment
@@ -18,16 +21,19 @@ python -m venv nqrduck
 ```
 
 You can install this module and the dependencies by running the following command in the terminal while the virtual environment is activated and you are in the root directory of this module:
+
 ```bash
 pip install .
 ```
 
 Alternatively, you can install the module and the dependencies by running the following command in the terminal while the virtual environment is activated:
+
 ```bash
 pip install nqrduck-measurement
 ```
 
 ## Usage
+
 The module is used with the [Spectrometer](https://github.com/nqrduck/nqrduck-spectrometer) module. However you need to use an actual submodule of the spectrometer module like:
 
 - [nqrduck-spectrometer-limenqr](https://github.com/nqrduck/nqrduck-spectrometer-limenqr) A module used for magnetic resonance experiments with the LimeSDR (USB or Mini 2.0).
@@ -42,8 +48,12 @@ The pulse sequence and spectrometer settings can be adjusted using the 'Spectrom
 - c.) The 'Measurement Plot'. Here the measured data is displayed. One can switch time and frequency domain plots.
 - d.) The import and export buttons for the measurement data.
 
+You can then remove the folder of the virtual environment.
+
 ## License
+
 This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details
 
 ## Contributing
+
 If you're interested in contributing to the project, start by checking out our [nqrduck-module template](https://github.com/nqrduck/nqrduck-module). To contribute to existing modules, please first open an issue in the respective module repository to discuss your ideas or report bugs.

src/nqrduck_measurement/controller.py

@@ -4,7 +4,7 @@ import logging
 import json
 from PyQt6.QtCore import pyqtSlot, pyqtSignal
 from PyQt6.QtWidgets import QApplication
-from .signalprocessing_options import Apodization
+from .signalprocessing_options import Apodization, Fitting
 from nqrduck.module.module_controller import ModuleController
 from nqrduck_spectrometer.measurement import Measurement
 
@@ -232,6 +232,38 @@ class MeasurementController(ModuleController):
         self.module.model.displayed_measurement = apodized_measurement
         self.module.model.add_measurement(apodized_measurement)
     
+    def show_fitting_dialog(self) -> None:
+        """Show fitting dialog."""
+        logger.debug("Showing fitting dialog.")
+        # First we  check if there is a measurement.
+        if not self.module.model.displayed_measurement:
+            logger.debug("No measurement to fit.")
+            self.module.nqrduck_signal.emit(
+                "notification", ["Error", "No measurement to fit."]
+            )
+            return
+
+        measurement = self.module.model.displayed_measurement
+
+        dialog = Fitting(measurement, parent=self.module.view)
+        result = dialog.exec()
+
+        logger.debug("Dialog result: %s", result)
+        if not result:
+            return
+
+        fit = dialog.get_fit()[1]
+
+        logger.debug("Fitting function: %s", fit)
+
+        params = fit.fit()
+
+        measurement.add_fit(fit)
+
+        self.module.view.update_displayed_measurement()
+
+        dialog.deleteLater()
+
     @pyqtSlot()
     def change_displayed_measurement(self, measurement=None) -> None:
         """Change the displayed measurement.

src/nqrduck_measurement/signalprocessing_options.py

@@ -2,9 +2,14 @@
 
 import logging
 import sympy
-from nqrduck_spectrometer.measurement import Measurement
+from nqrduck_spectrometer.measurement import Measurement, Fit, T2StarFit
 from nqrduck.helpers.functions import Function, GaussianFunction, CustomFunction
-from nqrduck.helpers.formbuilder import DuckFormBuilder, DuckFormFunctionSelectionField
+from nqrduck.helpers.formbuilder import (
+    DuckFormBuilder,
+    DuckFormFunctionSelectionField,
+    DuckFormDropdownField,
+    DuckLabelField,
+)
 
 logger = logging.getLogger(__name__)
 
@@ -24,6 +29,21 @@ class FIDFunction(Function):
         self.add_parameter(Function.Parameter("T2star (microseconds)", "T2star", 10))
 
 
+class LorentzianFunction(Function):
+    """The Lorentzian function."""
+
+    name = "Lorentzian"
+
+    def __init__(self) -> None:
+        """Lorentzian function."""
+        expr = sympy.sympify("1 / (1 + (x / T2star)^2)")
+        super().__init__(expr)
+        self.start_x = 0
+        self.end_x = 30
+
+        self.add_parameter(Function.Parameter("T2star (microseconds)", "T2star", 10))
+
+
 class Apodization(DuckFormBuilder):
     """Apodization parameter.
 
@@ -62,3 +82,37 @@ class Apodization(DuckFormBuilder):
             Function: The selected function.
         """
         return self.get_values()[0]
+
+
+class Fitting(DuckFormBuilder):
+    """Fitting parameter.
+
+    This parameter is used to apply fitting functions to the signal.
+    The fitting functions are used to reduce the noise in the signal.
+    """
+
+    def __init__(self, measurement: Measurement, parent=None) -> None:
+        """Fitting parameter."""
+        super().__init__("Fitting", parent=parent)
+
+        self.measurement = measurement
+
+        fits = {}
+        fits["T2*"] = T2StarFit(self.measurement)
+
+        selection_field = DuckFormDropdownField(
+            text=None,
+            tooltip=None,
+            options=fits,
+            default_option=0,
+        )
+
+        self.add_field(selection_field)
+
+    def get_fit(self) -> Fit:
+        """Get the selected fit.
+
+        Returns:
+            Fit: The selected fit.
+        """
+        return self.get_values()[0]

src/nqrduck_measurement/view.py

@@ -89,6 +89,10 @@ class MeasurementView(ModuleView):
             self.module.controller.show_apodization_dialog
         )
 
+        self._ui_form.fittingButton.clicked.connect(
+            self.module.controller.show_fitting_dialog
+        )
+
         # Add logos
         self._ui_form.buttonStart.setIcon(Logos.Play_16x16())
         self._ui_form.buttonStart.setIconSize(self._ui_form.buttonStart.size())
@@ -120,7 +124,7 @@ class MeasurementView(ModuleView):
         self._ui_form.averagesEdit.set_min_value(1)
         self._ui_form.averagesEdit.set_max_value(1e6)
 
-        # Connect selectionBox signal fors switching the displayed  measurement
+        # Connect selectionBox signal for switching the displayed  measurement
         self._ui_form.selectionBox.valueChanged.connect(
             self.module.controller.change_displayed_measurement
         )
@@ -207,6 +211,9 @@ class MeasurementView(ModuleView):
                 x, np.abs(y), label="Magnitude", color="blue"
             )
 
+            # Plot fits
+            self.plot_fits()
+
             # Add legend
             self._ui_form.plotter.canvas.ax.legend()
 
@@ -230,10 +237,42 @@ class MeasurementView(ModuleView):
                     )
                     break
 
-        except AttributeError:
+        except AttributeError as e:
-            logger.debug("No measurement data to display.")
+            logger.debug(f"No measurement data to display: {e}")
+
         self._ui_form.plotter.canvas.draw()
 
+    def plot_fits(self):
+        """Plots the according fits to the displayed measurement if there are any and if the view mode is correct."""
+        measurement = self.module.model.displayed_measurement
+
+        if not measurement.fits:
+            logger.debug("No fits to plot.")
+            return
+        
+        for fit in measurement.fits:
+            logger.debug(f"Plotting fit {fit.name}.")
+            if fit.domain == self.module.model.view_mode:
+                x = fit.x
+                y = fit.y
+                self._ui_form.plotter.canvas.ax.plot(x, y, label=f"{fit.name} Fit", color="black", linestyle="--")
+
+                # Add the parameters to the plot
+                offset = 0
+                for name, value in fit.parameters.items():
+                    if name == "covariance":
+                        continue
+
+                    # Only two digits after the comma
+                    value = round(value, 2)
+
+                    self._ui_form.plotter.canvas.ax.text(
+                        max(x) / 90,
+                        max(y)/2 + offset,
+                        f"{name}: {value}",
+                    )
+                    offset += max(y)/10
+
     @pyqtSlot()
     def on_measurement_start_button_clicked(self) -> None:
         """Slot for when the measurement start button is clicked."""