Calculate upglade redshifts (#128)

* Update redshift reading

* Add helio to CMB redshift

* Update imports

* Update nb

* Run for Quijote

* Add script

* Update

* Update .gitignore

* Update imports

* Add Peery estimator

* Add bulk flow scripts

* Update typs

* Add comment

* Add blank space

* Update submission script

* Update description

* Add barriers

* Update nb

* Update nb

* Rename script

* Move to old

* Update imports

* Add nb

* Update script

* Fix catalogue key

* Update script

* Update submit

* Update comment

* Update .gitignore

* Update nb

* Update for stationary obsrevers

* Update submission

* Add nb

* Add better verbose control

* Update nb

* Update submit

* Update nb

* Add SN errors

* Add draft of the script

* Update verbosity flags

* Add submission script

* Debug script

* Quickfix

* Remove comment

* Update nb

* Update submission

* Update nb

* Processed UPGLADE

notebooks/flow/process_PV.ipynb

@@ -9,7 +9,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -38,7 +38,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -63,7 +63,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -86,9 +86,17 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 138,
+   "execution_count": 5,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "<KeysViewHDF5 ['DEGdeg', 'DEHdeg', 'DEJ2000', 'Host', 'IAUC', 'RAGdeg', 'RAHdeg', 'RAJ2000', 'SNID', 'SimbadName', 'e_vpec', 'e_zHD', 'e_zhel', 'recno', 'vpec', 'vpecG', 'zGHD', 'zGcmb', 'zGhel', 'zHD', 'zcmb', 'zhel']>\n"
+     ]
+    }
+   ],
    "source": [
     "fpath_full = \"/mnt/extraspace/rstiskalek/catalogs/PV/Pantheon+SH0ES.dat\"\n",
     "fpath_group = \"/mnt/extraspace/rstiskalek/catalogs/PV/pantheon+_groups.hdf5\"\n",
@@ -96,22 +104,28 @@
     "data_full = np.genfromtxt(fpath_full, names=True, dtype=None, encoding=None)\n",
     "data_group = {}\n",
     "\n",
+    "# Read in the groups\n",
     "with File(fpath_group, \"r\") as f:\n",
+    "    print(f.keys())\n",
     "    for key in f.keys():\n",
-    "        data_group[key] = f[key][:]\n",
+    "        try:\n",
+    "            data_group[key] = f[key][...]\n",
+    "        except IndexError:\n",
+    "            print(f\"Failed to read {key}\")\n",
+    "        # data[key] = f[key][...]\n",
     "\n",
     "# data = data[data[\"zCMB\"] < 0.1]\n",
     "\n",
-    "keys = [\"zCMB\", \"mB\", \"mBERR\", \"x1\", \"x1ERR\", \"c\", \"cERR\", \"RA\", \"DEC\",\n",
-    "        \"VPEC\", \"VPECERR\", \"biasCor_m_b\", \"biasCorErr_m_b\"]\n",
+    "keys = [\"zCMB\", \"zCMBERR\", \"mB\", \"mBERR\", \"x1\", \"x1ERR\", \"c\", \"cERR\", \"RA\",\n",
+    "        \"DEC\", \"VPEC\", \"VPECERR\", \"biasCor_m_b\", \"biasCorErr_m_b\"]\n",
     "pantheon_data = {}\n",
     "for key in keys:\n",
-    "    pantheon_data[key] = data[key]\n"
+    "    pantheon_data[key] = data_full[key]\n"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 139,
+   "execution_count": 25,
    "metadata": {},
    "outputs": [
     {
@@ -133,7 +147,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 142,
+   "execution_count": 26,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -150,7 +164,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 145,
+   "execution_count": 27,
    "metadata": {},
    "outputs": [
     {
@@ -186,7 +200,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 28,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -212,7 +226,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 29,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -236,7 +250,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 30,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -260,7 +274,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 31,
    "metadata": {},
    "outputs": [
     {
@@ -278,7 +292,7 @@
        "        2.0177503] deg>"
       ]
      },
-     "execution_count": 14,
+     "execution_count": 31,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -294,7 +308,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 26,
+   "execution_count": 32,
    "metadata": {},
    "outputs": [
     {
@@ -320,13 +334,6 @@
     "plt.show()"
    ]
   },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
   {
    "cell_type": "markdown",
    "metadata": {},
@@ -336,7 +343,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 149,
+   "execution_count": 33,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -360,7 +367,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 151,
+   "execution_count": 34,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -428,7 +435,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.7"
+   "version": "3.11.4"
   }
  },
  "nbformat": 4,