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@@ -473,7 +473,7 @@ <h2>Phasing the Difference Map<a class="headerlink" href="#Phasing-the-Differenc
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@@ -639,11 +639,11 @@ <h2>Phasing the Difference Map<a class="headerlink" href="#Phasing-the-Differenc
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diff --git a/examples/7_makingADifferenceMap.ipynb b/examples/7_makingADifferenceMap.ipynb
index 67ddbc57..ffad8ddd 100644
--- a/examples/7_makingADifferenceMap.ipynb
+++ b/examples/7_makingADifferenceMap.ipynb
@@ -20,10 +20,10 @@
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@@ -56,10 +56,10 @@
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@@ -90,10 +90,10 @@
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@@ -107,7 +107,7 @@
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@@ -182,10 +182,10 @@
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@@ -219,10 +219,10 @@
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@@ -247,10 +247,10 @@
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@@ -266,10 +266,10 @@
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@@ -302,10 +302,10 @@
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@@ -330,10 +330,10 @@
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@@ -368,10 +368,10 @@
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@@ -413,10 +413,10 @@
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@@ -470,10 +470,10 @@
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@@ -490,7 +490,7 @@
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",
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",
       "text/plain": [
        "<Figure size 1000x700 with 1 Axes>"
       ]
@@ -541,10 +541,10 @@
    "execution_count": 16,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2023-10-30T17:17:37.282772Z",
-     "iopub.status.busy": "2023-10-30T17:17:37.282128Z",
-     "iopub.status.idle": "2023-10-30T17:17:37.289477Z",
-     "shell.execute_reply": "2023-10-30T17:17:37.288978Z"
+     "iopub.execute_input": "2023-11-20T21:08:59.344393Z",
+     "iopub.status.busy": "2023-11-20T21:08:59.343980Z",
+     "iopub.status.idle": "2023-11-20T21:08:59.350447Z",
+     "shell.execute_reply": "2023-11-20T21:08:59.349824Z"
     }
    },
    "outputs": [
@@ -558,7 +558,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "724e21cca6d8488b961aebe5bb591dce",
+       "model_id": "3bd0fb3bec954ef5a5a8591e437cdf83",
        "version_major": 2,
        "version_minor": 0
       },
@@ -581,10 +581,10 @@
    "execution_count": 17,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2023-10-30T17:17:37.292239Z",
-     "iopub.status.busy": "2023-10-30T17:17:37.291583Z",
-     "iopub.status.idle": "2023-10-30T17:17:37.377200Z",
-     "shell.execute_reply": "2023-10-30T17:17:37.376561Z"
+     "iopub.execute_input": "2023-11-20T21:08:59.353916Z",
+     "iopub.status.busy": "2023-11-20T21:08:59.353724Z",
+     "iopub.status.idle": "2023-11-20T21:08:59.435183Z",
+     "shell.execute_reply": "2023-11-20T21:08:59.434593Z"
     }
    },
    "outputs": [
@@ -610,10 +610,10 @@
    "execution_count": 18,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2023-10-30T17:17:37.380353Z",
-     "iopub.status.busy": "2023-10-30T17:17:37.379791Z",
-     "iopub.status.idle": "2023-10-30T17:17:37.400624Z",
-     "shell.execute_reply": "2023-10-30T17:17:37.400019Z"
+     "iopub.execute_input": "2023-11-20T21:08:59.437760Z",
+     "iopub.status.busy": "2023-11-20T21:08:59.437394Z",
+     "iopub.status.idle": "2023-11-20T21:08:59.452317Z",
+     "shell.execute_reply": "2023-11-20T21:08:59.451770Z"
     }
    },
    "outputs": [
@@ -642,10 +642,10 @@
    "execution_count": 19,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2023-10-30T17:17:37.404536Z",
-     "iopub.status.busy": "2023-10-30T17:17:37.403254Z",
-     "iopub.status.idle": "2023-10-30T17:17:37.423103Z",
-     "shell.execute_reply": "2023-10-30T17:17:37.422504Z"
+     "iopub.execute_input": "2023-11-20T21:08:59.454650Z",
+     "iopub.status.busy": "2023-11-20T21:08:59.454290Z",
+     "iopub.status.idle": "2023-11-20T21:08:59.467938Z",
+     "shell.execute_reply": "2023-11-20T21:08:59.467407Z"
     }
    },
    "outputs": [
@@ -670,10 +670,10 @@
    "execution_count": 20,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2023-10-30T17:17:37.426634Z",
-     "iopub.status.busy": "2023-10-30T17:17:37.425568Z",
-     "iopub.status.idle": "2023-10-30T17:17:37.444425Z",
-     "shell.execute_reply": "2023-10-30T17:17:37.443833Z"
+     "iopub.execute_input": "2023-11-20T21:08:59.470233Z",
+     "iopub.status.busy": "2023-11-20T21:08:59.469871Z",
+     "iopub.status.idle": "2023-11-20T21:08:59.483022Z",
+     "shell.execute_reply": "2023-11-20T21:08:59.482441Z"
     }
    },
    "outputs": [
@@ -705,17 +705,17 @@
    "execution_count": 21,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2023-10-30T17:17:37.448467Z",
-     "iopub.status.busy": "2023-10-30T17:17:37.447194Z",
-     "iopub.status.idle": "2023-10-30T17:17:37.463447Z",
-     "shell.execute_reply": "2023-10-30T17:17:37.462849Z"
+     "iopub.execute_input": "2023-11-20T21:08:59.485257Z",
+     "iopub.status.busy": "2023-11-20T21:08:59.485066Z",
+     "iopub.status.idle": "2023-11-20T21:08:59.496388Z",
+     "shell.execute_reply": "2023-11-20T21:08:59.495683Z"
     }
    },
    "outputs": [
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "29b3565c001b42efad07a7a66ac734cb",
+       "model_id": "50992bdc5aba4dee8e9df75903ba9f41",
        "version_major": 2,
        "version_minor": 0
       },
@@ -814,7 +814,7 @@
   "widgets": {
    "application/vnd.jupyter.widget-state+json": {
     "state": {
-     "11e6bbdb2f2242638953cff8418f1619": {
+     "010b6f4966d344a79d4ea7e8e37136ec": {
       "model_module": "@jupyter-widgets/controls",
       "model_module_version": "2.0.0",
       "model_name": "ButtonStyleModel",
@@ -836,7 +836,108 @@
        "text_decoration": null
       }
      },
-     "123998d3e5bd49d2845a7ea881e455ae": {
+     "026ad4c0775943b2a50d6359f42cfceb": {
+      "model_module": "@jupyter-widgets/controls",
+      "model_module_version": "2.0.0",
+      "model_name": "ButtonStyleModel",
+      "state": {
+       "_model_module": "@jupyter-widgets/controls",
+       "_model_module_version": "2.0.0",
+       "_model_name": "ButtonStyleModel",
+       "_view_count": null,
+       "_view_module": "@jupyter-widgets/base",
+       "_view_module_version": "2.0.0",
+       "_view_name": "StyleView",
+       "button_color": null,
+       "font_family": null,
+       "font_size": null,
+       "font_style": null,
+       "font_variant": null,
+       "font_weight": null,
+       "text_color": null,
+       "text_decoration": null
+      }
+     },
+     "0c128a89a98e49339f863c97e427f23a": {
+      "model_module": "@jupyter-widgets/controls",
+      "model_module_version": "2.0.0",
+      "model_name": "FileUploadModel",
+      "state": {
+       "_dom_classes": [],
+       "_model_module": "@jupyter-widgets/controls",
+       "_model_module_version": "2.0.0",
+       "_model_name": "FileUploadModel",
+       "_view_count": null,
+       "_view_module": "@jupyter-widgets/controls",
+       "_view_module_version": "2.0.0",
+       "_view_name": "FileUploadView",
+       "accept": ".mtz",
+       "button_style": "",
+       "description": "Upload",
+       "description_allow_html": false,
+       "disabled": false,
+       "error": "",
+       "icon": "upload",
+       "layout": "IPY_MODEL_915a37444b5542258a90f702966922a3",
+       "multiple": false,
+       "style": "IPY_MODEL_fe484eb75f724f94a4900181a980007a",
+       "tabbable": null,
+       "tooltip": null,
+       "value": []
+      }
+     },
+     "3bd0fb3bec954ef5a5a8591e437cdf83": {
+      "model_module": "@jupyter-widgets/controls",
+      "model_module_version": "2.0.0",
+      "model_name": "FileUploadModel",
+      "state": {
+       "_dom_classes": [],
+       "_model_module": "@jupyter-widgets/controls",
+       "_model_module_version": "2.0.0",
+       "_model_name": "FileUploadModel",
+       "_view_count": null,
+       "_view_module": "@jupyter-widgets/controls",
+       "_view_module_version": "2.0.0",
+       "_view_name": "FileUploadView",
+       "accept": ".mtz",
+       "button_style": "",
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