diff --git a/CS/auswertung/.touch b/CS/auswertung/.touch
new file mode 100644
index 0000000..618071d
--- /dev/null
+++ b/CS/auswertung/.touch
@@ -0,0 +1,2 @@
+
+xx
diff --git a/CS/auswertung/Untitled.ipynb b/CS/auswertung/Untitled.ipynb
new file mode 100644
index 0000000..ac62b2e
--- /dev/null
+++ b/CS/auswertung/Untitled.ipynb
@@ -0,0 +1,1071 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 801,
+   "metadata": {
+    "autoscroll": false,
+    "collapsed": false,
+    "ein.hycell": false,
+    "ein.tags": "worksheet-0",
+    "slideshow": {
+     "slide_type": "-"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "import matplotlib.pyplot as plt\n",
+    "import numpy as np\n",
+    "from SecondaryValue import SecondaryValue\n",
+    "from importlib import reload\n",
+    "import utility\n",
+    "reload(utility)\n",
+    "from utility import *\n",
+    "from scipy.optimize import curve_fit\n",
+    "import scipy.constants as const\n",
+    "%matplotlib qt5\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 802,
+   "metadata": {
+    "autoscroll": false,
+    "collapsed": false,
+    "ein.hycell": false,
+    "ein.tags": "worksheet-0",
+    "slideshow": {
+     "slide_type": "-"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "e_cs_1 = (32.194*3.64 + 31.817*1.99)/(3.64+1.99)  # keV\n",
+    "e_ba_1 = (30.625*33.9 + 30.973*62.2)/(62.2 + 33.9)  # keV\n",
+    "e_ba_2 = (79.6142*2.65 + 80.9979*32.9)/(2.65 + 32.9)  # keV\n",
+    "e_ba_3 = 53.1622  # keV\n",
+    "e_am_1 = 26.3446  # keV\n",
+    "e_am_2 = 59.5409  # keV\n",
+    "\n",
+    "e_eu_1 = (5.65*14 + 5.06*0.174)/(14+.174)\n",
+    "energies = [e_cs_1, e_ba_1, e_ba_2, e_ba_3, e_am_1, e_am_2, e_eu_1]\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 803,
+   "metadata": {
+    "autoscroll": false,
+    "collapsed": false,
+    "ein.hycell": false,
+    "ein.tags": "worksheet-0",
+    "slideshow": {
+     "slide_type": "-"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "32.06074422735347"
+      ]
+     },
+     "execution_count": 803,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "e_cs"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 804,
+   "metadata": {
+    "autoscroll": false,
+    "collapsed": false,
+    "ein.hycell": false,
+    "ein.tags": "worksheet-0",
+    "slideshow": {
+     "slide_type": "-"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "cal_cs = load_spectrum('../messung/cal/cs137.dat')\n",
+    "cal_ba = load_spectrum('../messung/cal/ba133.dat')\n",
+    "cal_am = load_spectrum('../messung/cal/am241.dat')\n",
+    "cal_eu = load_spectrum('../messung/cal/eu152.dat')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 805,
+   "metadata": {
+    "autoscroll": false,
+    "collapsed": false,
+    "ein.hycell": false,
+    "ein.tags": "worksheet-0",
+    "slideshow": {
+     "slide_type": "-"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "plot_spec(cal_eu)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 806,
+   "metadata": {
+    "autoscroll": false,
+    "collapsed": false,
+    "ein.hycell": false,
+    "ein.tags": "worksheet-0",
+    "slideshow": {
+     "slide_type": "-"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "p_cs_1, d_p_cs_1 = calibrate_peak(cal_cs, 310, 400)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 807,
+   "metadata": {
+    "autoscroll": false,
+    "collapsed": true,
+    "ein.hycell": false,
+    "ein.tags": "worksheet-0",
+    "slideshow": {
+     "slide_type": "-"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "p_ba_1, d_p_ba_1 = calibrate_peak(cal_ba, 260, 450)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 787,
+   "metadata": {
+    "autoscroll": false,
+    "collapsed": false,
+    "ein.hycell": false,
+    "ein.tags": "worksheet-0",
+    "slideshow": {
+     "slide_type": "-"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "p_ba_2, d_p_ba_2 = calibrate_peak(cal_ba, 750, 1000)\n",
+    "p_ba_3, d_p_ba_3 = calibrate_peak(cal_ba, 530, 650)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 788,
+   "metadata": {
+    "autoscroll": false,
+    "collapsed": false,
+    "ein.hycell": false,
+    "ein.tags": "worksheet-0",
+    "slideshow": {
+     "slide_type": "-"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "p_am_1, d_p_am_1 = calibrate_peak(cal_am, 300, 370)\n",
+    "p_am_2, d_p_am_2 = calibrate_peak(cal_am, 540, 760)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 789,
+   "metadata": {
+    "autoscroll": false,
+    "collapsed": false,
+    "ein.hycell": false,
+    "ein.tags": "worksheet-0",
+    "slideshow": {
+     "slide_type": "-"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "p_eu_1, d_p_eu_1 = calibrate_peak(cal_eu, 105, 160)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 790,
+   "metadata": {
+    "autoscroll": false,
+    "collapsed": false,
+    "ein.hycell": false,
+    "ein.tags": "worksheet-0",
+    "slideshow": {
+     "slide_type": "-"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "peaks, d_peaks = [p_ba_1, p_ba_2, p_am_1, p_am_2, p_eu_1], [d_p_ba_1, d_p_ba_2, d_p_am_1, d_p_am_2, d_p_eu_1]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 791,
+   "metadata": {
+    "autoscroll": false,
+    "collapsed": false,
+    "ein.hycell": false,
+    "ein.tags": "worksheet-0",
+    "slideshow": {
+     "slide_type": "-"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "peaks, d_peaks = [p_cs_1, p_ba_1, p_ba_2, p_ba_3, p_am_1, p_am_2, p_eu_1], \\\n",
+    "    [d_p_cs_1, d_p_ba_1, d_p_ba_2, d_p_ba_3, d_p_am_1, d_p_am_2, d_p_eu_1]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 792,
+   "metadata": {
+    "autoscroll": false,
+    "collapsed": false,
+    "ein.hycell": false,
+    "ein.tags": "worksheet-0",
+    "slideshow": {
+     "slide_type": "-"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "def Ef(x, a, b):\n",
+    "    return (x - a)/b\n",
+    "    "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 793,
+   "metadata": {
+    "autoscroll": false,
+    "collapsed": false,
+    "ein.hycell": false,
+    "ein.tags": "worksheet-0",
+    "slideshow": {
+     "slide_type": "-"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "pe, d_pe = curve_fit(Ef, energies, peaks, sigma=d_peaks, absolute_sigma=True)\n",
+    "d_pe =  np.sqrt(np.diag(d_pe))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 794,
+   "metadata": {
+    "autoscroll": false,
+    "collapsed": false,
+    "ein.hycell": false,
+    "ein.tags": "worksheet-0",
+    "slideshow": {
+     "slide_type": "-"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array([0.17750116, 0.00041067])"
+      ]
+     },
+     "execution_count": 794,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "plt.cla()\n",
+    "plt.errorbar(energies, peaks, linestyle='None', marker='x', yerr=d_peaks)\n",
+    "plt.plot(energies, Ef(np.array(energies), *pe))\n",
+    "d_pe"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 795,
+   "metadata": {
+    "autoscroll": false,
+    "collapsed": false,
+    "ein.hycell": false,
+    "ein.tags": "worksheet-0",
+    "slideshow": {
+     "slide_type": "-"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "EE = SecondaryValue('b*K+a', defaults=dict(a=(pe[0], d_pe[0]), b=(pe[1], d_pe[1])))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 796,
+   "metadata": {
+    "autoscroll": false,
+    "collapsed": false,
+    "ein.hycell": false,
+    "ein.tags": "worksheet-0",
+    "slideshow": {
+     "slide_type": "-"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "am_2 = load_spectrum('../messung/2/2_90.dat', absolute=True)\n",
+    "am_2_0 = load_spectrum('../messung/2/3_90_0.dat', absolute=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 797,
+   "metadata": {
+    "autoscroll": false,
+    "collapsed": false,
+    "ein.hycell": false,
+    "ein.tags": "worksheet-0",
+    "slideshow": {
+     "slide_type": "-"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "91.0"
+      ]
+     },
+     "execution_count": 797,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "plot_spec(am_2)\n",
+    "am_2.max()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 800,
+   "metadata": {
+    "autoscroll": false,
+    "collapsed": false,
+    "ein.hycell": false,
+    "ein.tags": "worksheet-0",
+    "slideshow": {
+     "slide_type": "-"
+    }
+   },
+   "outputs": [
+    {
+     "ename": "NameError",
+     "evalue": "name 's' is not defined",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;31m\u001b[0m",
+      "\u001b[0;31mNameError\u001b[0mTraceback (most recent call last)",
+      "\u001b[0;32m<ipython-input-800-63494283810e>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[0mt\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0;36m1200\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0;36m1165.2\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m/\u001b[0m\u001b[0;36m2\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      2\u001b[0m \u001b[0mN\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mam_2\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m530\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;36m780\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msum\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m/\u001b[0m\u001b[0mt\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 3\u001b[0;31m \u001b[0mN0\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mam_2_0\u001b[0m\u001b[0;34m+\u001b[0m\u001b[0ms\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m530\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;36m780\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msum\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m/\u001b[0m\u001b[0mt\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
+      "\u001b[0;31mNameError\u001b[0m: name 's' is not defined"
+     ]
+    }
+   ],
+   "source": [
+    "t = (1200 + 1165.2)/2\n",
+    "N = am_2[530:780].sum()/t\n",
+    "N0 = am_2_0+s[530:780].sum()/t\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 799,
+   "metadata": {
+    "autoscroll": false,
+    "collapsed": false,
+    "ein.hycell": false,
+    "ein.tags": "worksheet-0",
+    "slideshow": {
+     "slide_type": "-"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "tt = t_opt(N_g=N, N_0=N0, prec=([.05, .03],))\n",
+    "d_tt = d_t_opt(N_g=N, N_0=N0, prec=([.05, .03],), t=t)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 390,
+   "metadata": {
+    "autoscroll": false,
+    "collapsed": false,
+    "ein.hycell": false,
+    "ein.tags": "worksheet-0",
+    "slideshow": {
+     "slide_type": "-"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array([ 7.84406946, 21.78908184])"
+      ]
+     },
+     "execution_count": 390,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "tt/60\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 391,
+   "metadata": {
+    "autoscroll": false,
+    "collapsed": false,
+    "ein.hycell": false,
+    "ein.tags": "worksheet-0",
+    "slideshow": {
+     "slide_type": "-"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "660.1280316405802"
+      ]
+     },
+     "execution_count": 391,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "p_am_2"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 392,
+   "metadata": {
+    "autoscroll": false,
+    "collapsed": false,
+    "ein.hycell": false,
+    "ein.tags": "worksheet-0",
+    "slideshow": {
+     "slide_type": "-"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "4.683747674615255"
+      ]
+     },
+     "execution_count": 392,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "N0"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 393,
+   "metadata": {
+    "autoscroll": false,
+    "collapsed": false,
+    "ein.hycell": false,
+    "ein.tags": "worksheet-0",
+    "slideshow": {
+     "slide_type": "-"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array([1.5808687 , 4.39130194])"
+      ]
+     },
+     "execution_count": 393,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "d_tt/60"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 394,
+   "metadata": {
+    "autoscroll": false,
+    "collapsed": false,
+    "ein.hycell": false,
+    "ein.tags": "worksheet-0",
+    "slideshow": {
+     "slide_type": "-"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "5539.0"
+      ]
+     },
+     "execution_count": 394,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "am_2_0[530:780].sum()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "ein.tags": "worksheet-0",
+    "slideshow": {
+     "slide_type": "-"
+    }
+   },
+   "source": [
+    "# E(mu)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 730,
+   "metadata": {
+    "autoscroll": false,
+    "collapsed": false,
+    "ein.hycell": false,
+    "ein.tags": "worksheet-0",
+    "slideshow": {
+     "slide_type": "-"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "deg_angles = np.array([30, 45, 60, 75, 90, 105, 120])\n",
+    "angles = np.array([30, 45, 60, 75, 90, 105, 120])*np.pi/180\n",
+    "e_ref, deps = E(E_in=e_am_2, theta=(angles,), retdeps=True)\n",
+    "mus = deps['mu'][0]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 731,
+   "metadata": {
+    "autoscroll": false,
+    "collapsed": false,
+    "ein.hycell": false,
+    "ein.tags": "worksheet-0",
+    "slideshow": {
+     "slide_type": "-"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "{'mu': (array([ 8.66025404e-01,  7.07106781e-01,  5.00000000e-01,  2.58819045e-01,\n          6.12323400e-17, -2.58819045e-01, -5.00000000e-01]), {}),\n 'kappa': (0.116518634725179, {})}"
+      ]
+     },
+     "execution_count": 731,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "deps"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 732,
+   "metadata": {
+    "autoscroll": false,
+    "collapsed": false,
+    "ein.hycell": false,
+    "ein.tags": "worksheet-0",
+    "slideshow": {
+     "slide_type": "-"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[<matplotlib.lines.Line2D at 0x7f7fdd619c50>]"
+      ]
+     },
+     "execution_count": 732,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "plt.clf()\n",
+    "plt.plot(mus, e_ref)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 733,
+   "metadata": {
+    "autoscroll": false,
+    "collapsed": false,
+    "ein.hycell": false,
+    "ein.tags": "worksheet-0",
+    "slideshow": {
+     "slide_type": "-"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "26344.6"
+      ]
+     },
+     "execution_count": 733,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "e_am_1*1e3"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 734,
+   "metadata": {
+    "autoscroll": false,
+    "collapsed": false,
+    "ein.hycell": false,
+    "ein.tags": "worksheet-0",
+    "slideshow": {
+     "slide_type": "-"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(58.62572101073011,\n 4.755994988353535,\n 3.362996307554021,\n 1.740814986008869,\n 4.1184826635903985e-16,\n 0.0,\n 0.0)"
+      ]
+     },
+     "execution_count": 734,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "e_ref"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 735,
+   "metadata": {
+    "autoscroll": false,
+    "collapsed": false,
+    "ein.hycell": false,
+    "ein.tags": "worksheet-0",
+    "slideshow": {
+     "slide_type": "-"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "a_30 = load_spectrum('../messung/angles/4_30.SPC.dat', absolute=True)\n",
+    "a_30_0 = load_spectrum('../messung/angles/4_30_null.SPC.dat', absolute=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 735,
+   "metadata": {
+    "autoscroll": false,
+    "collapsed": false,
+    "ein.hycell": false,
+    "ein.tags": "worksheet-0",
+    "slideshow": {
+     "slide_type": "-"
+    }
+   },
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 736,
+   "metadata": {
+    "autoscroll": false,
+    "collapsed": false,
+    "ein.hycell": false,
+    "ein.tags": "worksheet-0",
+    "slideshow": {
+     "slide_type": "-"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(642.932655760525, 2.315609176316844)"
+      ]
+     },
+     "execution_count": 736,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "find_peak(a_30, a_30_0, [450, 800], 100)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 737,
+   "metadata": {
+    "autoscroll": false,
+    "collapsed": false,
+    "ein.hycell": false,
+    "ein.tags": "worksheet-0",
+    "slideshow": {
+     "slide_type": "-"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "angle_specs = np.array([[load_spectrum(f'../messung/angles/4_{i}.SPC.dat', absolute=True) for i in deg_angles], [load_spectrum(f'../messung/angles/4_{i}_null.SPC.dat', absolute=True) for i in deg_angles]])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 738,
+   "metadata": {
+    "autoscroll": false,
+    "collapsed": false,
+    "ein.hycell": false,
+    "ein.tags": "worksheet-0",
+    "slideshow": {
+     "slide_type": "-"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "peaks = np.array([np.array(find_peak(angle_specs[0][i], angle_specs[1][i], [450, 800], 100)) for i in range(angle_specs.shape[1])])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 739,
+   "metadata": {
+    "autoscroll": false,
+    "collapsed": false,
+    "ein.hycell": false,
+    "ein.tags": "worksheet-0",
+    "slideshow": {
+     "slide_type": "-"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "angle_energies = peaks"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 740,
+   "metadata": {
+    "autoscroll": false,
+    "collapsed": false,
+    "ein.hycell": false,
+    "ein.tags": "worksheet-0",
+    "slideshow": {
+     "slide_type": "-"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "angle_energies = EE(K=(peaks[:,0],))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 741,
+   "metadata": {
+    "autoscroll": false,
+    "collapsed": false,
+    "ein.hycell": false,
+    "ein.tags": "worksheet-0",
+    "slideshow": {
+     "slide_type": "-"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[<matplotlib.lines.Line2D at 0x7f7fdd4b4940>]"
+      ]
+     },
+     "execution_count": 741,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "plt.clf()\n",
+    "plt.errorbar(deg_angles, angle_energies[0], xerr=2, yerr=angle_energies[1])\n",
+    "smooth = np.linspace(angles[0], angles[-1], 1000)\n",
+    "plt.plot(smooth*180/np.pi,E(E_in=e_am_2, theta=[smooth,1])[0])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 742,
+   "metadata": {
+    "autoscroll": false,
+    "collapsed": false,
+    "ein.hycell": false,
+    "ein.tags": "worksheet-0",
+    "slideshow": {
+     "slide_type": "-"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array([642.93265576, 630.76665418, 613.55942739, 595.35835191,\n       577.77492491, 568.22732123, 552.10961088])"
+      ]
+     },
+     "execution_count": 742,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "peaks[:,0]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 743,
+   "metadata": {
+    "autoscroll": false,
+    "collapsed": false,
+    "ein.hycell": false,
+    "ein.tags": "worksheet-0",
+    "slideshow": {
+     "slide_type": "-"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(array([57.75408064, 56.53581276, 54.8127313 , 52.99012873, 51.22937568,\n        50.27330652, 48.65932606]),\n array([0.38381634, 0.37897523, 0.3721824 , 0.36507003, 0.3582742 ,\n        0.35461663, 0.34849646]))"
+      ]
+     },
+     "execution_count": 743,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "angle_energies\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 744,
+   "metadata": {
+    "autoscroll": false,
+    "collapsed": false,
+    "ein.hycell": false,
+    "ein.tags": "worksheet-0",
+    "slideshow": {
+     "slide_type": "-"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "50.68268424189124"
+      ]
+     },
+     "execution_count": 744,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "E(E_in=e_am_2, theta=angles[6])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 745,
+   "metadata": {
+    "autoscroll": false,
+    "collapsed": false,
+    "ein.hycell": false,
+    "ein.tags": "worksheet-0",
+    "slideshow": {
+     "slide_type": "-"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "50.68268424189124"
+      ]
+     },
+     "execution_count": 745,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "E(E_in=e_am_2, theta=angles[6])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 746,
+   "metadata": {
+    "autoscroll": false,
+    "collapsed": false,
+    "ein.hycell": false,
+    "ein.tags": "worksheet-0",
+    "slideshow": {
+     "slide_type": "-"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(array([56.51383007, 51.10773983]), array([0.18358449, 0.16224326]))"
+      ]
+     },
+     "execution_count": 746,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "E(E_in=e_am_2, theta=(np.array([1,2]),2/180*np.pi))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 747,
+   "metadata": {
+    "autoscroll": false,
+    "collapsed": false,
+    "ein.hycell": false,
+    "ein.tags": "worksheet-0",
+    "slideshow": {
+     "slide_type": "-"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array([0.22505152, 0.00049094])"
+      ]
+     },
+     "execution_count": 747,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "d_pe\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "autoscroll": false,
+    "collapsed": false,
+    "ein.hycell": false,
+    "ein.tags": "worksheet-0",
+    "slideshow": {
+     "slide_type": "-"
+    }
+   },
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "argv": [
+    "python",
+    "-m",
+    "ipykernel_launcher",
+    "-f",
+    "{connection_file}"
+   ],
+   "display_name": "Python 3",
+   "env": null,
+   "interrupt_mode": "signal",
+   "language": "python",
+   "metadata": null,
+   "name": "python3"
+  },
+  "name": "Untitled.ipynb"
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/CS/auswertung/messung/cal/cs137.dat b/CS/auswertung/messung/cal/cs137.dat
new file mode 100644
index 0000000..3c4fa86
--- /dev/null
+++ b/CS/auswertung/messung/cal/cs137.dat
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diff --git a/CS/auswertung/messung/prot.org b/CS/auswertung/messung/prot.org
new file mode 100644
index 0000000..634cee2
--- /dev/null
+++ b/CS/auswertung/messung/prot.org
@@ -0,0 +1,4 @@
+* Calibration
+** CS
+ - 32.194 3.64
+ - 31.817 1.99
diff --git a/CS/auswertung/utility.py b/CS/auswertung/utility.py
new file mode 100644
index 0000000..18aaca0
--- /dev/null
+++ b/CS/auswertung/utility.py
@@ -0,0 +1,79 @@
+import matplotlib.pyplot as plt
+import numpy as np
+from SecondaryValue import SecondaryValue
+import scipy.constants as const
+from scipy.optimize import curve_fit
+from scipy.signal import find_peaks
+import scipy.sparse as sparse
+mu = SecondaryValue('cos(theta)')
+kappa = SecondaryValue('E_in/er', defaults=dict(er=510.99895000))
+E = SecondaryValue('E_in/(1+kappa*(1-mu))',
+                   dependencies=dict(mu=mu, kappa=kappa))
+
+t_opt = SecondaryValue('(N_g + N_0)/(prec^2*(N_g-N_0)^2)')
+d_t_opt = SecondaryValue('sqrt((N_g+3*N_0)^2*N_g/t+(3*N_g+N_0)^2*N_0/t)/(prec^2*(N_g-N_0)^2)')
+
+def load_spectrum(path, absolute=False):
+    """Parses the characteristic curve data from the data logs.
+
+    :param path: path to the log
+    :returns: channel, events
+    """
+    data = np.loadtxt(path, skiprows=1, encoding='latin1')[:,1]
+
+    return data if absolute else data/data.max()
+
+def channels(spec):
+    return np.arange(1, len(spec) + 1)
+
+def plot_spec(spec):
+    plt.clf()
+    plt.plot(channels(spec), spec)
+    plt.xlabel('Channel')
+    plt.ylabel('Relative Counts')
+
+
+def gauss(x, mu, sigma):
+    return np.exp(-(x-mu)**2/(2*sigma**2))
+
+def calibrate_peak(spec, start, end):
+    slc = spec[start:end]
+    slc = slc-slc.min()
+    slc = slc/slc.max()
+    chan = channels(spec)[start:end]
+    opt, d_opt = curve_fit(gauss, chan,
+                           slc, p0=((start+end)/2, (end-start)/2),
+                           sigma=1/2*np.ones_like(chan), absolute_sigma=True)
+    d_opt = np.sqrt(np.diag(d_opt))
+
+    fig = plt.figure()
+    ax = fig.add_subplot(111)
+
+    ax.plot(chan, slc)
+    ax.plot(chan, gauss(chan, *opt))
+    ax.set_xlabel('Kanalnummer')
+    ax.set_ylabel('Relative Ereignisszahl')
+    fig.show()
+    return opt[0], d_opt[0]
+
+def find_peak(spec, under, interval, width, height=.5, distance=100):
+    corrected = (spec - under)[interval[0]:interval[1]]
+    corrected = corrected/corrected.max()
+    peak = find_peaks(corrected, height=height, distance=distance)[0]
+
+    return calibrate_peak(spec-under, int(interval[0]+peak-width), int(interval[0]+peak+width))
+
+import numpy as np
+from scipy import sparse
+from scipy.sparse.linalg import spsolve
+
+def baseline_als(y, lam, p, niter=10):
+  L = len(y)
+  D = sparse.diags([1,-2,1],[0,-1,-2], shape=(L,L-2))
+  w = np.ones(L)
+  for i in range(niter):
+    W = sparse.spdiags(w, 0, L, L)
+    Z = W + lam * D.dot(D.transpose())
+    z = spsolve(Z, w*y)
+    w = p * (y > z) + (1-p) * (y < z)
+  return z
diff --git a/CS/messung/2/2_90.dat b/CS/messung/2/2_90.dat
new file mode 100644
index 0000000..3f01b42
--- /dev/null
+++ b/CS/messung/2/2_90.dat
@@ -0,0 +1,1025 @@
+K	N
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diff --git a/CS/messung/2/3_90_0.dat b/CS/messung/2/3_90_0.dat
new file mode 100644
index 0000000..c2a9903
--- /dev/null
+++ b/CS/messung/2/3_90_0.dat
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diff --git a/CS/messung/angles/4_105.SPC.dat b/CS/messung/angles/4_105.SPC.dat
new file mode 100644
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diff --git a/CS/messung/angles/4_105_null.SPC.dat b/CS/messung/angles/4_105_null.SPC.dat
new file mode 100644
index 0000000..220dfc7
--- /dev/null
+++ b/CS/messung/angles/4_105_null.SPC.dat
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diff --git a/CS/messung/angles/4_120.SPC.dat b/CS/messung/angles/4_120.SPC.dat
new file mode 100644
index 0000000..baad601
--- /dev/null
+++ b/CS/messung/angles/4_120.SPC.dat
@@ -0,0 +1,1025 @@
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diff --git a/CS/messung/angles/4_120_null.SPC.dat b/CS/messung/angles/4_120_null.SPC.dat
new file mode 100644
index 0000000..63fc59d
--- /dev/null
+++ b/CS/messung/angles/4_120_null.SPC.dat
@@ -0,0 +1,1025 @@
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diff --git a/CS/messung/angles/4_30.SPC.dat b/CS/messung/angles/4_30.SPC.dat
new file mode 100644
index 0000000..1c1ed41
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+++ b/CS/messung/angles/4_30.SPC.dat
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diff --git a/CS/messung/angles/4_30_null.SPC.dat b/CS/messung/angles/4_30_null.SPC.dat
new file mode 100644
index 0000000..10b2c54
--- /dev/null
+++ b/CS/messung/angles/4_30_null.SPC.dat
@@ -0,0 +1,1025 @@
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diff --git a/CS/messung/angles/4_45.SPC.dat b/CS/messung/angles/4_45.SPC.dat
new file mode 100644
index 0000000..ac0189b
--- /dev/null
+++ b/CS/messung/angles/4_45.SPC.dat
@@ -0,0 +1,1025 @@
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diff --git a/CS/messung/angles/4_45_null.SPC.dat b/CS/messung/angles/4_45_null.SPC.dat
new file mode 100644
index 0000000..2736481
--- /dev/null
+++ b/CS/messung/angles/4_45_null.SPC.dat
@@ -0,0 +1,1025 @@
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diff --git a/CS/messung/angles/4_60.SPC.dat b/CS/messung/angles/4_60.SPC.dat
new file mode 100644
index 0000000..3cfc1e4
--- /dev/null
+++ b/CS/messung/angles/4_60.SPC.dat
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diff --git a/CS/messung/angles/4_60_null.SPC.dat b/CS/messung/angles/4_60_null.SPC.dat
new file mode 100644
index 0000000..8ce98ff
--- /dev/null
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diff --git a/CS/messung/angles/4_75.SPC.dat b/CS/messung/angles/4_75.SPC.dat
new file mode 100644
index 0000000..b5784ac
--- /dev/null
+++ b/CS/messung/angles/4_75.SPC.dat
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diff --git a/CS/messung/angles/4_75_null.SPC.dat b/CS/messung/angles/4_75_null.SPC.dat
new file mode 100644
index 0000000..d2dd2e3
--- /dev/null
+++ b/CS/messung/angles/4_75_null.SPC.dat
@@ -0,0 +1,1025 @@
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diff --git a/CS/messung/angles/4_90.SPC.dat b/CS/messung/angles/4_90.SPC.dat
new file mode 100644
index 0000000..92e691d
--- /dev/null
+++ b/CS/messung/angles/4_90.SPC.dat
@@ -0,0 +1,1025 @@
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diff --git a/CS/messung/angles/4_90_null.SPC.dat b/CS/messung/angles/4_90_null.SPC.dat
new file mode 100644
index 0000000..c2a9903
--- /dev/null
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diff --git a/CS/messung/cal/am241.dat b/CS/messung/cal/am241.dat
new file mode 100644
index 0000000..e3e65a6
--- /dev/null
+++ b/CS/messung/cal/am241.dat
@@ -0,0 +1,1025 @@
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diff --git a/CS/messung/cal/ba133.dat b/CS/messung/cal/ba133.dat
new file mode 100644
index 0000000..0b53291
--- /dev/null
+++ b/CS/messung/cal/ba133.dat
@@ -0,0 +1,1025 @@
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diff --git a/CS/messung/cal/cs137.dat b/CS/messung/cal/cs137.dat
new file mode 100644
index 0000000..3c4fa86
--- /dev/null
+++ b/CS/messung/cal/cs137.dat
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diff --git a/CS/messung/cal/eu152.dat b/CS/messung/cal/eu152.dat
new file mode 100644
index 0000000..655e166
--- /dev/null
+++ b/CS/messung/cal/eu152.dat
@@ -0,0 +1,1025 @@
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diff --git a/GL/protokoll/protokoll.tex b/GL/protokoll/protokoll.tex
index 8cd418b..989a3d7 100644
--- a/GL/protokoll/protokoll.tex
+++ b/GL/protokoll/protokoll.tex
@@ -776,7 +776,7 @@ Moden erkennbar. Der Abstand der einzelnen Messpunkte betr\"agt rund
 Damit ergibt sich f\"ur die Frequenzaufl\"osung um \(\lambda_0\):
 
 \begin{equation}
-  \Delta\nu=c\cdot\frac{\Delta\lambda}{\lambda_0^2}=\SI{3.30e8}{\hertz}
+  \Delta\nu=c\cdot\frac{\Delta\lambda}{\lambda_0^2}=\SI{3.30e11}{\hertz}
 \end{equation}
 
 Der Modenabstand betr\"agt nach \ref{eq:longmodes} (Ungenauigkeiten
@@ -784,7 +784,7 @@ aus \(L=\SI{80+-.5}{\centi\meter}\) erst in vierter Nachkommastelle):
 
 \begin{equation}
   \label{eq:moda}
-  \delta\nu = \SI{1.87e11}{\hertz} < \Delta\nu
+  \delta\nu = \SI{1.87e8}{\hertz} < \Delta\nu
 \end{equation}
 
 Somit k\"onnen keine individuellen Moden aufgel\"ost werden.