Display Gaussian1D results in GUI

and some bug fixes

docs/imviz/plugins.rst

@@ -171,8 +171,8 @@ an interactively selected region. A typical workflow is as follows:
     However, if NaN exists in data, it will be treated as 0.
 
 When calculation is complete, a plot would show the radial profile
-of the background subtracted data and the photometry results are displayed under the
-:guilabel:`CALCULATE` button.
+of the background subtracted data and the photometry and model fitting (if requested)
+results are displayed under the :guilabel:`CALCULATE` button.
 
 .. figure:: img/imviz_radial_profile.png
     :alt: Imviz radial profile plot.

jdaviz/configs/imviz/plugins/aper_phot_simple/aper_phot_simple.py

@@ -6,6 +6,7 @@
 import numpy as np
 from astropy import units as u
 from astropy.modeling.fitting import LevMarLSQFitter
+from astropy.modeling import Parameter
 from astropy.modeling.models import Gaussian1D
 from astropy.table import QTable
 from astropy.time import Time
@@ -68,6 +69,7 @@ def __init__(self, *args, **kwargs):
         self._fig = bqplot.Figure()
         self.plot_types = ["Curve of Growth", "Radial Profile", "Radial Profile (Raw)"]
         self.current_plot_type = self.plot_types[0]
+        self._fitted_model_name = 'phot_radial_profile'
 
     def reset_results(self):
         self.result_available = False
@@ -223,6 +225,11 @@ def vue_do_aper_phot(self, *args, **kwargs):
         data = self._selected_data
         reg = self._selected_subset
 
+        # Reset last fitted model
+        fit_model = None
+        if self._fitted_model_name in self.app.fitted_models:
+            del self.app.fitted_models[self._fitted_model_name]
+
         try:
             comp = data.get_component(data.main_components[0])
             try:
@@ -373,7 +380,7 @@ def vue_do_aper_phot(self, *args, **kwargs):
                         self.hub.broadcast(SnackbarMessage(
                             f"Radial profile fitting: {msg}", color='warning', sender=self))
                     y_fit = fit_model(x_data)
-                    self.app.fitted_models['phot_radial_profile'] = fit_model
+                    self.app.fitted_models[self._fitted_model_name] = fit_model
                     bqplot_fit = bqplot.Lines(x=x_data, y=y_fit, marker=None,
                                               scales={'x': line_x_sc, 'y': line_y_sc},
                                               colors='magenta', line_style='dashed')
@@ -410,6 +417,15 @@ def vue_do_aper_phot(self, *args, **kwargs):
                                 f'{x:.4e} ({phot_table["aperture_sum_counts_err"][0]:.4e})'})
                 else:
                     tmp.append({'function': key, 'result': str(x)})
+            # Also display fit results
+            if fit_model is not None and isinstance(fit_model, Gaussian1D):
+                model_name = fit_model.__class__.__name__
+                for param in ('fwhm', 'mean', 'amplitude'):
+                    p_val = getattr(fit_model, param)
+                    if isinstance(p_val, Parameter):
+                        p_val = p_val.value
+                    tmp.append({'function': f'{model_name}_{param}',
+                                'result': f'{p_val:.4e}'})
             self.results = tmp
             self.result_available = True
             self.radial_plot = self._fig

notebooks/concepts/imviz_simple_aper_phot.ipynb

@@ -195,7 +195,7 @@
    "id": "b45fcdfe",
    "metadata": {},
    "source": [
-    "If you fitted Gaussian to radial profile, you can get it back out like this."
+    "If you fitted Gaussian to radial profile, you can get it back out like this. If it does not exist, you will get `None`."
    ]
   },
   {
@@ -205,14 +205,14 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "my_gaussian = imviz.app.fitted_models['phot_radial_profile']\n",
+    "my_gaussian = imviz.app.fitted_models.get('phot_radial_profile', None)\n",
     "my_gaussian"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "1e546682",
+   "id": "b7c59fef",
    "metadata": {},
    "outputs": [],
    "source": []