diff --git a/statics/physics/modern-phys-lab/decay.ipynb b/statics/physics/modern-phys-lab/decay.ipynb
index 510eb56..3b9095f 100644
--- a/statics/physics/modern-phys-lab/decay.ipynb
+++ b/statics/physics/modern-phys-lab/decay.ipynb
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 1,
    "metadata": {},
    "outputs": [
     {
@@ -78,7 +78,7 @@
        "max                      20.319996"
       ]
      },
-     "execution_count": 7,
+     "execution_count": 1,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -94,7 +94,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [
     {
@@ -170,7 +170,7 @@
        "max                      19.880012"
       ]
      },
-     "execution_count": 8,
+     "execution_count": 2,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -183,7 +183,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 79,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [
     {
@@ -195,13 +195,13 @@
        "         2,   0])"
       ]
      },
-     "execution_count": 79,
+     "execution_count": 6,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -219,19 +219,21 @@
     "bincenters = 0.5*(bins[1:]+bins[:-1])\n",
     "\n",
     "hist[0][0].errorbar(bincenters, values, yerr=np.sqrt(values), fmt='none', color='red')\n",
+    "hist[0][0].set_xlabel('Time (μs)')\n",
+    "hist[0][0].set_ylabel('Counts')\n",
     "\n",
-    "hist[0][0].set_yscale('log')\n",
+    "#hist[0][0].set_yscale('log')\n",
     "values"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 87,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -254,19 +256,19 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 88,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [
     {
-     "data": {
-      "text/plain": [
-       "array([-0.47310124716106117+/-0.0245690118244238,\n",
-       "       5.625239459215871+/-0.1002975555031522], dtype=object)"
-      ]
-     },
-     "execution_count": 88,
-     "metadata": {},
-     "output_type": "execute_result"
+     "ename": "NameError",
+     "evalue": "name 'unumpy' is not defined",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[31m---------------------------------------------------------------------------\u001b[39m",
+      "\u001b[31mNameError\u001b[39m                                 Traceback (most recent call last)",
+      "\u001b[36mCell\u001b[39m\u001b[36m \u001b[39m\u001b[32mIn[5]\u001b[39m\u001b[32m, line 3\u001b[39m\n\u001b[32m      1\u001b[39m line, cov = np.polyfit(bins, times, deg=\u001b[32m1\u001b[39m, cov=\u001b[38;5;28;01mTrue\u001b[39;00m)\n\u001b[32m----> \u001b[39m\u001b[32m3\u001b[39m coeff = \u001b[43munumpy\u001b[49m.uarray(line, np.sqrt(np.diag(cov)))\n\u001b[32m      4\u001b[39m coeff\n",
+      "\u001b[31mNameError\u001b[39m: name 'unumpy' is not defined"
+     ]
     }
    ],
    "source": [
@@ -278,7 +280,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 70,
+   "execution_count": null,
    "metadata": {},
    "outputs": [
     {
@@ -402,7 +404,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.2"
+   "version": "3.12.7"
   }
  },
  "nbformat": 4,