feat: new periodic search

feat: new periodic search

Author: lgrcia

.vscode/settings.json

@@ -4,7 +4,7 @@
     "editor.defaultFormatter": "ms-python.black-formatter",
     "editor.formatOnSave": true,
     "editor.codeActionsOnSave": {
-      "source.organizeImports": true
+      "source.organizeImports": "explicit"
     },
   },
   "python.testing.pytestArgs": [

docs/index.md

@@ -70,6 +70,7 @@ citation.md
 :maxdepth: 1
 :caption: Tutorials
 
+notebooks/tutorials/GP_optimization.ipynb
 notebooks/tutorials/ground_based.ipynb
 notebooks/tutorials/tess_search.ipynb
 notebooks/tutorials/exocomet.ipynb

docs/notebooks/combined.ipynb

@@ -125,7 +125,7 @@
                             {
                                    "data": {
                                           "application/vnd.jupyter.widget-view+json": {
-                                                 "model_id": "238ee5574a104a0e83a212127bae0cb0",
+                                                 "model_id": "9238d5daa59846f4b61da59fa9b1d2e4",
                                                  "version_major": 2,
                                                  "version_minor": 0
                                           },
@@ -198,7 +198,7 @@
                             {
                                    "data": {
                                           "application/vnd.jupyter.widget-view+json": {
-                                                 "model_id": "c6bc551524ce4ad5bd4613f31dfc0ff1",
+                                                 "model_id": "3b9a579ec7614654a44be64ae9c89d48",
                                                  "version_major": 2,
                                                  "version_minor": 0
                                           },
@@ -346,7 +346,7 @@
                             {
                                    "data": {
                                           "application/vnd.jupyter.widget-view+json": {
-                                                 "model_id": "1641a1072c2740fbac93079acf292b00",
+                                                 "model_id": "08170c8a85be489ba96efa0a6618d5ec",
                                                  "version_major": 2,
                                                  "version_minor": 0
                                           },
@@ -380,7 +380,7 @@
               },
               {
                      "cell_type": "code",
-                     "execution_count": 10,
+                     "execution_count": 9,
                      "metadata": {
                             "tags": [
                                    "hide-input"

docs/notebooks/motivation.ipynb

@@ -16,7 +16,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 1,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -36,7 +36,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [
     {
@@ -74,7 +74,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 18,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [
     {
@@ -93,7 +93,7 @@
        "       0.9370029 , 0.95199615, 0.96747702, 0.98346971, 1.        ])"
       ]
      },
-     "execution_count": 18,
+     "execution_count": 3,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -113,7 +113,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 20,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [
     {
@@ -122,7 +122,7 @@
        "0.5242080656950339"
       ]
      },
-     "execution_count": 20,
+     "execution_count": 4,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -148,7 +148,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.5"
+   "version": "3.10.14"
   }
  },
  "nbformat": 4,