IOC_vs_XS-checkpoint.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "a5e60c5d-0373-42ef-94b2-f3523416baa7",
   "metadata": {},
   "source": [
    "# PyDevice IOC calculation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "b9e7a8bc-0f95-4a43-b865-3ef104a06ca3",
   "metadata": {},
   "outputs": [],
   "source": [
    "import epics\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import time"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "0f2830ba-a556-43df-8266-faa53fe194f8",
   "metadata": {},
   "outputs": [],
   "source": [
    "energy_list = [i for i in range(6,26)]\n",
    "energies = np.asarray(energy_list)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "aa5ccd9c-1d4d-479f-8d2b-ef089de58051",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Horizontal slits size: 0.0005 m\n",
      "Vertical slit size: 0.0003 m\n"
     ]
    }
   ],
   "source": [
    "flag_HE = True\n",
    "\n",
    "slitH = epics.caget(\"100idPyCRL:testSSH.VAL\")\n",
    "slitV = epics.caget(\"100idPyCRL:testSSV.VAL\")\n",
    "epics.caput(\"100idPyCRL:CRL1:thickerr_flag\", flag_HE)\n",
    "\n",
    "print(f'Horizontal slits size: {slitH} m\\nVertical slit size: {slitV} m')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "0f4e6fcc-c322-438b-b44c-8eefed926d69",
   "metadata": {},
   "outputs": [],
   "source": [
    "fSize_array = np.empty([len(energy_list),1024])\n",
    "for i in energies:\n",
    "    epics.caput(\"100idPyCRL:testMonoE.VAL\",float(i))\n",
    "    time.sleep(1)\n",
    "    fSize_array[i-6,:]=epics.caget(\"100idPyCRL:CRL1:fSizes\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "8b2b34e6-2b8c-4a16-af96-dcb83e359918",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(np.linspace(0,1023,1024), fSize_array.T)\n",
    "plt.yscale('log')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "cce1b6aa-0d77-447d-89be-45aa5529b4e6",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Horizontal slits size: 0.0005 m\n",
      "Vertical slit size: 0.0003 m\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "flag_HE = False\n",
    "\n",
    "slitH = epics.caget(\"100idPyCRL:testSSH.VAL\")\n",
    "slitV = epics.caget(\"100idPyCRL:testSSV.VAL\")\n",
    "epics.caput(\"100idPyCRL:CRL1:thickerr_flag\", flag_HE)\n",
    "\n",
    "print(f'Horizontal slits size: {slitH} m\\nVertical slit size: {slitV} m')\n",
    "\n",
    "fSize_array = np.empty([len(energy_list),1024])\n",
    "for i in energies:\n",
    "    epics.caput(\"100idPyCRL:testMonoE.VAL\",float(i))\n",
    "    time.sleep(1)\n",
    "    fSize_array[i-6,:]=epics.caget(\"100idPyCRL:CRL1:fSizes\")\n",
    "\n",
    "plt.plot(np.linspace(0,1023,1024), fSize_array.T)\n",
    "plt.yscale('log')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "960d2960-6819-4433-8cdd-b698755b42af",
   "metadata": {},
   "source": [
    "# Xianbo Calculation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "3958c22c-5db9-4b09-8dbb-6767ec140290",
   "metadata": {},
   "outputs": [],
   "source": [
    "from scipy.optimize import root_scalar\n",
    "import xraylib"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "bf5d208e-1db5-40d9-ad5e-7bc43a253360",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Lookup table where each entry is a tuple (column1, column2)\n",
    "Lens_diameter_table = [\n",
    "    (50, 450.0),\n",
    "    (100, 632.0),\n",
    "    (200, 894.0),\n",
    "    (300, 1095.0),\n",
    "    (500, 1414.0),\n",
    "    (1000, 2000.0),\n",
    "    (1500, 2450.0),\n",
    "    ]\n",
    "\n",
    "# Convert the lookup table to a dictionary for faster lookup\n",
    "Lens_diameter_dict = {int(col1): col2 for col1, col2 in Lens_diameter_table}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "b14894a8-8afc-4000-aabf-fb56a8973070",
   "metadata": {},
   "outputs": [],
   "source": [
    "def lookup_diameter(lens_radius):\n",
    "    # Convert the input float to an integer\n",
    "    input_int = int(round(lens_radius*1.0e6))\n",
    "    return Lens_diameter_dict.get(input_int, (lens_radius*1.0e6)**0.5*63.222+ 0.73)/1.0e6"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "d24d7d73-530d-438f-9e31-01d8b15bc06a",
   "metadata": {},
   "outputs": [],
   "source": [
    "def index_to_binary_list(index, length):\n",
    "    \"\"\"\n",
    "    Converts an index number to its binary representation as a list of digits,\n",
    "    and pads the list with zeros in front to achieve the desired length.\n",
    "\n",
    "    Parameters:\n",
    "        index (int): The index number to be converted.\n",
    "        length (int): The desired length of the binary list.\n",
    "\n",
    "    Returns:\n",
    "        list: A list of digits representing the binary representation of the index.\n",
    "    \"\"\"\n",
    "    # Convert the index to a binary string and remove the '0b' prefix\n",
    "    binary_str = bin(index)[2:]\n",
    "\n",
    "    # Pad the binary string with zeros in front to achieve the desired length\n",
    "    #padded_binary_str = binary_str.zfill(length)\n",
    "\n",
    "    # Reverse the binary string\n",
    "    reversed_binary_str = binary_str[::-1]\n",
    "\n",
    "    # Convert the reversed binary string to a list of integers\n",
    "    binary_list = [int(digit) for digit in reversed_binary_str]\n",
    "\n",
    "    # Pad the list with zeros at the end to achieve the desired length\n",
    "    while len(binary_list) < length:\n",
    "        binary_list.append(0)\n",
    "\n",
    "    return binary_list"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "fdd4556b-c715-452b-b33f-42cac4d41766",
   "metadata": {},
   "outputs": [],
   "source": [
    "def binary_list_to_index(binary_list, length):\n",
    "    \"\"\"\n",
    "    Converts a list of binary digits in reverse order to its integer representation,\n",
    "    padding the list with zeros at the end to have a fixed number of elements.\n",
    "\n",
    "    Parameters:\n",
    "        binary_list (list): A list of digits representing the binary number in reverse order.\n",
    "        length (int): The fixed number of elements the list should have.\n",
    "\n",
    "    Returns:\n",
    "        int: The integer representation of the binary number.\n",
    "    \"\"\"\n",
    "    # Pad the list with zeros at the end to achieve the desired length\n",
    "    while len(binary_list) < length:\n",
    "        binary_list.append(0)\n",
    "\n",
    "    # Convert the binary list to an integer\n",
    "    index = 0\n",
    "    for i, digit in enumerate(binary_list):\n",
    "        index += digit * 2**i\n",
    "\n",
    "    return index"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "5e670a97-7a09-4e8f-b356-391355c3425b",
   "metadata": {},
   "outputs": [],
   "source": [
    "def materials_to_deltas(material_list, energy):\n",
    "    \"\"\"\n",
    "    Convert a list of material names to a list of delta values at a given energy.\n",
    "    Parameters:\n",
    "        material_list (list): A list of material names.\n",
    "        energy (float): The energy in keV.\n",
    "    Returns:\n",
    "        list: A list of delta values for the given materials at the given energy.\n",
    "    \"\"\"\n",
    "\n",
    "    # The list to store delta values\n",
    "    delta_list = []\n",
    "\n",
    "    # Iterate through each material in the input list\n",
    "    for material in material_list:\n",
    "        # Compute the delta value for the current material at the given energy\n",
    "        Z = xraylib.SymbolToAtomicNumber(material)\n",
    "        density = xraylib.ElementDensity(Z)\n",
    "        delta = 1.0-xraylib.Refractive_Index_Re(material, energy, density)\n",
    "\n",
    "        # Add the delta value to the delta list\n",
    "        delta_list.append(delta)\n",
    "\n",
    "    return delta_list"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "4806ed83-6433-4ee6-9088-1ff85250e805",
   "metadata": {},
   "outputs": [],
   "source": [
    "def materials_to_linear_attenuation(material_list, energy):\n",
    "    \"\"\"\n",
    "    Convert a list of material names to a list of linear attenuation coefficients at a given energy.\n",
    "    Parameters:\n",
    "        material_list (list): A list of material names.\n",
    "        energy (float): The energy in keV.\n",
    "\n",
    "    Returns:\n",
    "        list: A list of linear attenuation coefficient values (in m^-1) for the given materials at the given energy.\n",
    "    \"\"\"\n",
    "    # The list to store linear attenuation coefficient values\n",
    "    mu_list = []\n",
    "\n",
    "    # Iterate through each material in the input list\n",
    "    for material in material_list:\n",
    "        # Compute the delta value for the current material at the given energy\n",
    "        Z = xraylib.SymbolToAtomicNumber(material)\n",
    "        density = xraylib.ElementDensity(Z)\n",
    "\n",
    "        # Compute the mass attenuation coefficient in cm^2/g\n",
    "        #mass_attenuation = xraylib.CS_Photo(Z, energy)\n",
    "        mass_attenuation = xraylib.CS_Total(Z, energy)\n",
    "\n",
    "        # Convert mass attenuation coefficient to linear attenuation coefficient in m^-1\n",
    "        mu = mass_attenuation * density * 100.0       \n",
    "\n",
    "        # Add the linear attenuation coefficient value to the list\n",
    "        mu_list.append(mu)\n",
    " \n",
    "    return mu_list"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "61fe72cd-5aca-431c-b9d8-ffb23c5a9bce",
   "metadata": {},
   "outputs": [],
   "source": [
    "def absorptionaperture(x, n1mud, sigma, n1mur):\n",
    "\n",
    "    numerator = np.exp(-(x**2/(2*sigma**2))) * np.exp(-n1mur*(x**2) - n1mud)\n",
    "    denominator = np.exp(-n1mud)\n",
    "\n",
    "    return numerator / denominator - 0.5"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "6a268126-2cad-4450-b2bb-b5f97ac702d9",
   "metadata": {},
   "outputs": [],
   "source": [
    "def fSize_xs(energy, slit1_H = 500.0e-6, slit1_V = 300.0e-6, flag_HE = False, verbose = False):\n",
    "    '''\n",
    "    energy [eV]\n",
    "    slit1_H [m]\n",
    "    slit1_v [m]\n",
    "    '''    \n",
    "    \n",
    "    energy_keV = energy/1000.0  # Energy in keV\n",
    "    wl = 1239.84 / (energy * 10**9)\n",
    "    d_StoL1 = 51.9              # Source-to-CRL1 distance, in m\n",
    "    d_StoL2 = 62.1              # Source-to-CRL2 distance, in m\n",
    "    d_Stof  = 66.2              # Source-to-focus distance, in m\n",
    "\n",
    "#    slit1_H = 500.0e-6          # H slit size before CRL 1\n",
    "#    slit1_V = 300.0e-6          # V slit size before CRL 1\n",
    "\n",
    "    # CRL input block\n",
    "    d_min   = 3.0e-5            # Minimum thickness at the apex in m\n",
    "    stack_d = 50.0e-3           # Stack thickness in m\n",
    "    L1_n    = np.array([1,      1,      1,      1,      1,      1,      2,      4,      8,      16])                # CRL1 number of lenses in each stack\n",
    "    L1_R    = np.array([2.0e-3, 1.0e-3, 5.0e-4, 3.0e-4, 2.0e-4, 1.0e-4, 1.0e-4, 1.0e-4, 1.0e-4, 1.0e-4])            # CRL1 lens radius in each stack\n",
    "    L1_mater= np.array([\"Be\",   \"Be\",   \"Be\",   \"Be\",   \"Be\",   \"Be\",   \"Be\",   \"Be\",   \"Be\",   \"Be\"])              # CRL1 lens material in each stack\n",
    "    L1_loc  = np.array([4.5,    3.5,    2.5,    1.5,    0.5,    -0.5,   -1.5,   -2.5,   -3.5,   -4.5])*stack_d      # CRL1 lens stack location relative to center stack, positive means upstream\n",
    "    L1_HE   = np.array([1.0e-6, 1.0e-6, 1.0e-6, 1.0e-6, 1.0e-6, 1.0e-6, 1.4e-6, 2.0e-6, 2.8e-6, 4.0e-6])            # CRL1 lens RMS thickness error\n",
    "\n",
    "    # Source size input block\n",
    "    L_und = 4.7                 # undulator length\n",
    "    sigmaH_e = 14.8e-6          # Sigma electron source size in H direction in m\n",
    "    sigmaV_e = 3.7e-6           # Sigma electron source size in V direction in m\n",
    "    sigmaHp_e = 2.8e-6          # Sigma electron divergence in H direction in rad\n",
    "    sigmaVp_e = 1.5e-6          # Sigma electron divergence in V direction in rad\n",
    "\n",
    "    sigmaH = (sigmaH_e**2 + wl*L_und/2/np.pi/np.pi)**0.5\n",
    "    sigmaV = (sigmaV_e**2 + wl*L_und/2/np.pi/np.pi)**0.5\n",
    "    sigmaHp = (sigmaHp_e**2 + wl/L_und/2)**0.5\n",
    "    sigmaVp = (sigmaVp_e**2 + wl/L_und/2)**0.5\n",
    "    L1_D        = np.zeros(L1_R.size)                                   # CRL1 diameters for each stack\n",
    "    for i in range(L1_R.size):\n",
    "        L1_D[i] = lookup_diameter(L1_R[i])\n",
    "    L1_delta    = materials_to_deltas(L1_mater, energy_keV)             # delta values for CRL1 stacks\n",
    "    L1_mu       = materials_to_linear_attenuation(L1_mater, energy_keV) # mu values for CRL1 stacks\n",
    "    L1_Feq      = L1_R/(2*L1_n*L1_delta) + L1_loc                       # CRL1 equivalent f in m for each stack\n",
    "    L1_index_n  = 2**L1_Feq.size                                        # Total number of combinations for CRL1\n",
    "    L1_invF_list= np.zeros(L1_index_n)                                  # List of equivalent 1/f in m^-1 for CRL1\n",
    "    for i in range(L1_index_n):\n",
    "        L1_invF_list[i] = np.sum(index_to_binary_list(i, L1_Feq.size)/L1_Feq)\n",
    "\n",
    "    # comparing to IOC\n",
    "    if verbose:\n",
    "        print(L1_Feq)\n",
    "        print(L1_invF_list)\n",
    "    \n",
    "    # Sort the L1_invF list (to avoid zigzagging)\n",
    "    L1_invF_list_sort_indices = np.argsort(L1_invF_list)\n",
    "    L1_invF_list_sorted       = L1_invF_list[L1_invF_list_sort_indices]\n",
    "    q1_list  = 1/(L1_invF_list_sorted - 1/d_StoL1)      # focal position of CRL1 for all configurations (sorted)\n",
    "    dq1_list = q1_list - (d_Stof - d_StoL1)\n",
    "\n",
    "#    if verbose:\n",
    "#        print(f'L1_invF_list_sort_indices {L1_invF_list_sort_indices}')\n",
    "#        print(f'L1_invF_list_sorted {L1_invF_list_sorted}')\n",
    "#        print(f'q1_list {q1_list}')\n",
    "#        print(f'dq1_list {dq1_list}')\n",
    "    \n",
    "    # Start generating focal size list as a function of CRL1 setting\n",
    "    sigma1H         = (sigmaH**2 + (sigmaHp*d_StoL1)**2)**0.5   # sigma beam size before CRL1\n",
    "    sigma1V         = (sigmaV**2 + (sigmaVp*d_StoL1)**2)**0.5   # sigma beam size before CRL1\n",
    "    L1_n1mud_list   = np.zeros(L1_index_n)                      # List of n1*mu*d_min for all possible CRL1 configurations\n",
    "    L1_n1muR_list   = np.zeros(L1_index_n)                      # List of n1*mu/R for all possible CRL1 configurations\n",
    "    aperL1H_list    = np.zeros(L1_index_n)                      # absorption H aperture of CRL1 for all configurations\n",
    "    aperL1V_list    = np.zeros(L1_index_n)                      # absorption V aperture of CRL1 for all configurations\n",
    "    diameter1_list  = np.zeros(L1_index_n)                      # CRL1 diameter for all possible configurations\n",
    "    FWHM1H_list     = np.zeros(L1_index_n)                      # H focal size at the focus of CRL1\n",
    "    FWHM1V_list     = np.zeros(L1_index_n)                      # V focal size at the focus of CRL1\n",
    "    Strehl_list     = np.zeros(L1_index_n)                      # Strehl ratio based on lens thickness error\n",
    "\n",
    "    for i in range(L1_index_n):\n",
    "        # absorption aperture is a function of CRL absorption/physical aperture, incident beam size, and physical slits\n",
    "        L1_n1mud_list[i] = np.sum(index_to_binary_list(L1_invF_list_sort_indices[i], L1_Feq.size)*np.array(L1_mu*L1_n*d_min))\n",
    "        L1_n1muR_list[i] = np.sum(index_to_binary_list(L1_invF_list_sort_indices[i], L1_Feq.size)*np.array(L1_mu*L1_n/L1_R))\n",
    "        solution = root_scalar(absorptionaperture, args=(L1_n1mud_list[i], sigma1H, L1_n1muR_list[i]), bracket=[0.0, 2*sigma1H], method='bisect')\n",
    "        aperL1H_list[i] = solution.root*2.0\n",
    "        solution = root_scalar(absorptionaperture, args=(L1_n1mud_list[i], sigma1V, L1_n1muR_list[i]), bracket=[0.0, 2*sigma1V], method='bisect')\n",
    "        aperL1V_list[i] = solution.root*2.0\n",
    "        mask = (np.array(index_to_binary_list(L1_invF_list_sort_indices[i], L1_Feq.size)) == 1)\n",
    "\n",
    "        if np.all(mask == False):\n",
    "            diameter1_list[i] = np.inf\n",
    "        else:\n",
    "            diameter1_list[i] = np.min(L1_D[mask])\n",
    "        aperL1H_list[i] = min(aperL1H_list[i], diameter1_list[i], slit1_H)\n",
    "        aperL1V_list[i] = min(aperL1V_list[i], diameter1_list[i], slit1_V)\n",
    "\n",
    "        phase_error_tmp = np.linalg.norm(index_to_binary_list(L1_invF_list_sort_indices[i], L1_Feq.size)*np.array(L1_HE*L1_delta)*2*np.pi/wl)\n",
    "        Strehl_list[i] = np.exp(-phase_error_tmp**2)\n",
    "\n",
    "#    if verbose:\n",
    "#        print(f'L1_n1mud_list {L1_n1mud_list}')\n",
    "#        print(f'L1_n1muR_list {L1_n1muR_list}' )\n",
    "#       print(f'aperL1H_list {aperL1H_list}')\n",
    "#        print(f'aperL1V_list {aperL1V_list}')\n",
    "#        print(f'diameter1_list {diameter1_list}')\n",
    "#        print(f'wl {wl}')\n",
    "#        print(f'd_StoL1 {d_StoL1}')\n",
    "#        print(f'sigmaH {sigmaH}')\n",
    "#        print(f'sigmaV {sigmaV}')\n",
    "\n",
    "    \n",
    "    # FWHMbeam size at CRL1 focus\n",
    "    FWHM1H_list  = ((0.88*wl*q1_list/aperL1H_list)**2 + (2.355*sigmaH*q1_list/d_StoL1)**2)**0.5\n",
    "    FWHM1V_list  = ((0.88*wl*q1_list/aperL1V_list)**2 + (2.355*sigmaV*q1_list/d_StoL1)**2)**0.5\n",
    "    if flag_HE:\n",
    "        FWHM1H_list *= (Strehl_list)**(-0.5)\n",
    "        FWHM1V_list *= (Strehl_list)**(-0.5)\n",
    "    FWHM_list   = (FWHM1H_list*FWHM1V_list)**0.5\n",
    "\n",
    " #   if verbose:\n",
    " #       print(f'FWHM1H_list {FWHM1H_list}')\n",
    " #       print(f'FWHM1V_list {FWHM1V_list}' )\n",
    "\n",
    "    \n",
    "    return FWHM_list\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "57faa922-8607-440a-b353-30f8cabb406a",
   "metadata": {},
   "outputs": [],
   "source": [
    "fSize_array_xs = np.empty([len(energy_list),1024])\n",
    "for i in energies:\n",
    "    fSize_array_xs[i-6,:]=fSize_xs(i*1000.0, slit1_H = slitH, slit1_V = slitV, flag_HE = True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "4963838c-066b-4e51-9d09-325235fdbdef",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(np.linspace(0,1023,1024), fSize_array_xs.T)\n",
    "plt.yscale('log')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "518ae6e7-b743-4a96-bb60-4718579f0eb8",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "bada7867-3eeb-4d71-a5b7-737c48babf48",
   "metadata": {},
   "source": [
    "# Comparison"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fede3052-6caf-40af-8cd3-09cbc734a4dc",
   "metadata": {},
   "source": [
    "## 100 um x 100 um"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "9d467ddb-c7dd-48c3-b911-e6951f62ba7c",
   "metadata": {},
   "outputs": [],
   "source": [
    "slitH = 0.0005\n",
    "slitV = 0.0003\n",
    "flag_HE = True\n",
    "\n",
    "epics.caput(\"100idPyCRL:testSSH.VAL\", slitH)\n",
    "epics.caput(\"100idPyCRL:testSSV.VAL\", slitV)\n",
    "epics.caput(\"100idPyCRL:CRL1:thickerr_flag\", flag_HE)\n",
    "\n",
    "energy_list = [i for i in range(6,26)]\n",
    "energies = np.asarray(energy_list)\n",
    "\n",
    "fSize_array_A = np.empty([len(energy_list),1024])\n",
    "fSize_array_xs_A = np.empty([len(energy_list),1024])\n",
    "for i in energies:\n",
    "    epics.caput(\"100idPyCRL:testMonoE.VAL\",float(i))\n",
    "    time.sleep(2)\n",
    "    fSize_array_A[i-6,:]=epics.caget(\"100idPyCRL:CRL1:fSizes\")\n",
    "    fSize_array_xs_A[i-6,:]=fSize_xs(i*1000.0, slit1_H = slitH, slit1_V = slitV, flag_HE = flag_HE)\n",
    "ratio_A = fSize_array_A/fSize_array_xs_A"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "0a229b04-a66c-4cdd-8fa0-427cd2448ddf",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(np.linspace(0,1023,1024), ratio_A.T)\n",
    "plt.title('Ratio of focal sizes')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "148af061-0eb0-4abb-9e36-f8904262341e",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[7.79517909e-05 9.27023153e-05 1.13644756e-04 1.33233112e-04\n",
      " 1.47427113e-04 1.82266292e-04 2.85816482e-04 6.64725650e-04\n",
      " 1.21495628e-03 2.10128350e-03]\n",
      "[7.79517909e-05 9.27023153e-05 1.13644756e-04 1.33233112e-04\n",
      " 1.47427113e-04 1.82266292e-04 2.85816482e-04 6.64725650e-04\n",
      " 1.21495628e-03 2.10128350e-03]\n"
     ]
    }
   ],
   "source": [
    "print# 6 keV -- low bit configurations\n",
    "print(fSize_array_A[13,20:30])\n",
    "print(fSize_array_xs_A[13,20:30])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "1f4b55a5-d625-4549-8a0e-6009c92ab77d",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[3.96359250e-05 8.11586911e-05 2.13685905e-03 9.13301785e-05\n",
      " 4.31033834e-05 2.97138338e-05 2.22095595e-05 1.82474532e-05\n",
      " 1.84746369e-05]\n",
      "[3.96359250e-05 8.11586911e-05 2.13685905e-03 9.13301785e-05\n",
      " 4.31033834e-05 2.97138338e-05 2.22095595e-05 1.82474532e-05\n",
      " 1.84746369e-05]\n"
     ]
    }
   ],
   "source": [
    "# 6 keV -- low bit configurations\n",
    "print(fSize_array_A[0,0:9])\n",
    "print(fSize_array_xs_A[0,0:9])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "f5de2ded-bdbe-4098-ba2b-61933c5520f9",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[4.57057325e-07 4.38440384e-07 4.76404009e-07 4.56998934e-07\n",
      " 4.56963588e-07 4.76305908e-07 4.56893555e-07 4.76232613e-07\n",
      " 4.76195201e-07]\n",
      "[4.57057325e-07 4.38440384e-07 4.76404009e-07 4.56998934e-07\n",
      " 4.56963588e-07 4.76305908e-07 4.56893555e-07 4.76232613e-07\n",
      " 4.76195201e-07]\n"
     ]
    }
   ],
   "source": [
    "# 6 keV -- high bit configurations\n",
    "print(fSize_array_A[0,1014:1023])\n",
    "print(fSize_array_xs_A[0,1014:1023])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "2327865c-199b-4d15-bf3a-01438766a0b6",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[2.25635626e-05 2.32757846e-05 2.39735358e-05 2.47734837e-05\n",
      " 2.55023578e-05 2.64053431e-05 2.73047089e-05 2.78724266e-05\n",
      " 2.83350772e-05]\n",
      "[2.25635626e-05 2.32757846e-05 2.39735358e-05 2.47734837e-05\n",
      " 2.55023578e-05 2.64053431e-05 2.73047089e-05 2.78724266e-05\n",
      " 2.83350772e-05]\n"
     ]
    }
   ],
   "source": [
    "# 25 keV\n",
    "print(fSize_array_A[19,0:9])\n",
    "print(fSize_array_xs_A[19,0:9])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "da76ff4b-a498-46d9-b1ff-049f5d0517e9",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[1.42470707e-06 1.41982510e-06 1.42586097e-06 1.42097752e-06\n",
      " 1.41874935e-06 1.41990829e-06 1.41431496e-06 1.41547759e-06\n",
      " 1.41327267e-06]\n",
      "[1.42470707e-06 1.41982510e-06 1.42586097e-06 1.42097752e-06\n",
      " 1.41874935e-06 1.41990829e-06 1.41431496e-06 1.41547759e-06\n",
      " 1.41327267e-06]\n"
     ]
    }
   ],
   "source": [
    "# 25 keV -- high bit configurations\n",
    "print(fSize_array_A[19,1014:1023])\n",
    "print(fSize_array_xs_A[19,1014:1023])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8a4bcd48-ca4d-4c4f-b1fe-1b3818dcb22f",
   "metadata": {},
   "source": [
    "## 500 um x 300 um"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "a20bb8bb-89f7-46c0-8b3f-997fddfd5291",
   "metadata": {},
   "outputs": [],
   "source": [
    "slitH = 0.0005\n",
    "slitV = 0.0003\n",
    "flag_HE = True\n",
    "\n",
    "epics.caput(\"100idPyCRL:testSSH.VAL\", slitH)\n",
    "epics.caput(\"100idPyCRL:testSSV.VAL\", slitV)\n",
    "epics.caput(\"100idPyCRL:CRL1:thickerr_flag\", flag_HE)\n",
    "\n",
    "energy_list = [i for i in range(6,26)]\n",
    "energies = np.asarray(energy_list)\n",
    "\n",
    "fSize_array_B = np.empty([len(energy_list),1024])\n",
    "fSize_array_xs_B = np.empty([len(energy_list),1024])\n",
    "for i in energies:\n",
    "    epics.caput(\"100idPyCRL:testMonoE.VAL\",float(i))\n",
    "    time.sleep(1)\n",
    "    fSize_array_B[int(i-6),:]=epics.caget(\"100idPyCRL:CRL1:fSizes\")\n",
    "    fSize_array_xs_B[i-6,:]=fSize_xs(i*1000.0, slit1_H = slitH, slit1_V = slitV, flag_HE = flag_HE)\n",
    "ratio_B = fSize_array_B/fSize_array_xs_B"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "f2703d44-7a9f-44b3-b425-d862fa1366b0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(np.linspace(0,1023,1024), ratio_B.T)\n",
    "plt.title('Ratio of focal sizes')\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "2f892cab-1678-46c1-8de5-2b9a4ad3e833",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[3.96359250e-05 8.11586911e-05 2.13685905e-03 9.13301785e-05\n",
      " 4.31033834e-05 2.97138338e-05 2.22095595e-05 1.82474532e-05\n",
      " 1.84746369e-05]\n",
      "[3.96359250e-05 8.11586911e-05 2.13685905e-03 9.13301785e-05\n",
      " 4.31033834e-05 2.97138338e-05 2.22095595e-05 1.82474532e-05\n",
      " 1.84746369e-05]\n"
     ]
    }
   ],
   "source": [
    "# 6 keV -- low bit configurations\n",
    "print(fSize_array_B[0,0:9])\n",
    "print(fSize_array_xs_B[0,0:9])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "5ef8370f-895f-4439-a25f-001ae1a5c482",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[4.57057325e-07 4.38440384e-07 4.76404009e-07 4.56998934e-07\n",
      " 4.56963588e-07 4.76305908e-07 4.56893555e-07 4.76232613e-07\n",
      " 4.76195201e-07]\n",
      "[4.57057325e-07 4.38440384e-07 4.76404009e-07 4.56998934e-07\n",
      " 4.56963588e-07 4.76305908e-07 4.56893555e-07 4.76232613e-07\n",
      " 4.76195201e-07]\n"
     ]
    }
   ],
   "source": [
    "# 6 keV -- high bit configurations\n",
    "print(fSize_array_B[0,1014:1023])\n",
    "print(fSize_array_xs_B[0,1014:1023])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "6adc6b8a-9100-4da4-9bed-65c80d3fc1b1",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[2.25635626e-05 2.32757846e-05 2.39735358e-05 2.47734837e-05\n",
      " 2.55023578e-05 2.64053431e-05 2.73047089e-05 2.78724266e-05\n",
      " 2.83350772e-05]\n",
      "[2.25635626e-05 2.32757846e-05 2.39735358e-05 2.47734837e-05\n",
      " 2.55023578e-05 2.64053431e-05 2.73047089e-05 2.78724266e-05\n",
      " 2.83350772e-05]\n"
     ]
    }
   ],
   "source": [
    "# 25 keV\n",
    "print(fSize_array_B[19,0:9])\n",
    "print(fSize_array_xs_B[19,0:9])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "d9dc3d33-8242-4159-bc62-3f634076e48e",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[1.42470707e-06 1.41982510e-06 1.42586097e-06 1.42097752e-06\n",
      " 1.41874935e-06 1.41990829e-06 1.41431496e-06 1.41547759e-06\n",
      " 1.41327267e-06]\n",
      "[1.42470707e-06 1.41982510e-06 1.42586097e-06 1.42097752e-06\n",
      " 1.41874935e-06 1.41990829e-06 1.41431496e-06 1.41547759e-06\n",
      " 1.41327267e-06]\n"
     ]
    }
   ],
   "source": [
    "# 25 keV -- high bit configurations\n",
    "print(fSize_array_B[19,1014:1023])\n",
    "print(fSize_array_xs_B[19,1014:1023])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0695b053-9c74-4a1b-8a93-70f0c8146058",
   "metadata": {},
   "source": [
    "## 1 mm x 0.5 mm"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "36636b2d-c1c9-4760-90d9-9be79ddedcbb",
   "metadata": {},
   "outputs": [],
   "source": [
    "slitH = 0.001\n",
    "slitV = 0.0005\n",
    "flag_HE = True\n",
    "\n",
    "epics.caput(\"100idPyCRL:testSSH.VAL\", slitH)\n",
    "epics.caput(\"100idPyCRL:testSSV.VAL\", slitV)\n",
    "epics.caput(\"100idPyCRL:CRL1:thickerr_flag\", flag_HE)\n",
    "\n",
    "energy_list = [i for i in range(6,26)]\n",
    "energies = np.asarray(energy_list)\n",
    "\n",
    "fSize_array_C = np.empty([len(energy_list),1024])\n",
    "fSize_array_xs_C = np.empty([len(energy_list),1024])\n",
    "for i in energies:\n",
    "    epics.caput(\"100idPyCRL:testMonoE.VAL\",float(i))\n",
    "    time.sleep(1)\n",
    "    fSize_array_C[i-6,:]=epics.caget(\"100idPyCRL:CRL1:fSizes\")\n",
    "    fSize_array_xs_C[i-6,:]=fSize_xs(i*1000.0, slit1_H = slitH, slit1_V = slitV, flag_HE = flag_HE)\n",
    "ratio_C = fSize_array_C/fSize_array_xs_C"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "826a6e4a-c6dd-4901-8558-719ceaa8f2fb",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(np.linspace(0,1023,1024), ratio_C.T)\n",
    "plt.title('Ratio of focal sizes')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "890b2c31-48a0-4136-a47c-a2f369292b2a",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[3.30244657e-05 6.76960973e-05 1.78436684e-03 7.63484335e-05\n",
      " 3.60722018e-05 2.48939248e-05 1.86271309e-05 1.53151542e-05\n",
      " 1.55114085e-05]\n",
      "[3.30244657e-05 6.76960973e-05 1.78436684e-03 7.63484335e-05\n",
      " 3.60722018e-05 2.48939248e-05 1.86271309e-05 1.53151542e-05\n",
      " 1.55114085e-05]\n"
     ]
    }
   ],
   "source": [
    "# 6 keV -- low bit configurations\n",
    "print(fSize_array_C[0,0:9])\n",
    "print(fSize_array_xs_C[0,0:9])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "7f9fd270-d544-4fcb-9c49-846ab6944cf8",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[4.57057325e-07 4.38440384e-07 4.76404009e-07 4.56998934e-07\n",
      " 4.56963588e-07 4.76305908e-07 4.56893555e-07 4.76232613e-07\n",
      " 4.76195201e-07]\n",
      "[4.57057325e-07 4.38440384e-07 4.76404009e-07 4.56998934e-07\n",
      " 4.56963588e-07 4.76305908e-07 4.56893555e-07 4.76232613e-07\n",
      " 4.76195201e-07]\n"
     ]
    }
   ],
   "source": [
    "# 6 keV -- high bit configurations\n",
    "print(fSize_array_C[0,1014:1023])\n",
    "print(fSize_array_xs_C[0,1014:1023])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "84bcc253-cb1d-4f71-87e3-01298365c525",
   "metadata": {
    "scrolled": true