{ "cells": [ { "cell_type": "markdown", "id": "d6d071a9-54dd-4849-a299-b4e3538c76bc", "metadata": {}, "source": [ "# Demonstration of Fly-Scanning\n", "\n", "This notebook covers how to perform a fly-scan, where one motor moves continuously while one or more detectors acquire multiple data points.\n", "\n", "This includes the following tasks:\n", "- preparing an axis on the Aerotech XY stage as a flyer\n", "- executing a 1D fly-scan over an Aerotech axis\n", "- loading 1D fly-scan data from the database\n", "- executing a 2D scan where one axis is flown\n", "- loading 2D fly-scan data from the database" ] }, { "cell_type": "markdown", "id": "6ac83422-d6e8-4617-804b-e4b95bc3e0b2", "metadata": {}, "source": [ "First we have to import haven, the beamline control library. Haven contains most of the tools we will use. Importing it allows us to get to the functions and classes that are defined inside.\n", "\n", "Next, the ``haven.load_instrument()`` function will read the configuration files and scan the hardware for its configuration. It will then **build the devices** that will be used for scans. This function prints out a list of motors that it has discovered.\n", "\n", "Then, we create the run engine. The run engine is responsible for executing our scans and will be described in more detail when it is used below.\n", "\n", "Lastly we set metadata about who is running the beamline. This value will be saved in every plan executing on this run engine. This step is optional, but will allow database queries for scans taken by a specific person." ] }, { "cell_type": "code", "execution_count": 21, "id": "059e56ce-0da3-4a63-841f-93e489945737", "metadata": { "tags": [] }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "Could not connect to AravisDetector in 2.27 sec: Hutch A BPM.\n", "Could not connect to AravisDetector in 2.27 sec: s25id-gige-A.\n", "Could not connect to AravisDetector in 2.27 sec: s25id-gige-C.\n", "Could not connect to AravisDetector in 2.27 sec: s25id-gige-D.\n", "Could not connect to AravisDetector in 2.27 sec: s25id-gige-E.\n", "Could not connect to ApsPssShutterWithStatus in 2.27 sec: front_end_shutter.\n", "Could not connect to ApsPssShutterWithStatus in 2.27 sec: hutch_shutter.\n", "Could not connect to ApsMachine in 2.27 sec: APS.\n", "Could not connect to Monochromator in 2.21 sec: monochromator.\n", "Could not connect to ApsUndulator in 2.21 sec: undulator.\n", "Could not connect to energy positioner: energy\n", "Could not connect to fluorescence detector: canberra_Ge7 (20xmap8:)\n", "Could not connect to motor: 25ida:ORM1:m1\n", "Could not connect to motor: 25ida:ORM1:m2\n", "Could not connect to motor: 25ida:ORM1:m3\n", "Could not connect to motor: 25ida:ORM1:m4\n", "Could not connect to motor: 25ida:ORM2:m1\n", "Could not connect to motor: 25ida:ORM2:m2\n", "Could not connect to motor: 25ida:ORM2:m3\n", "Could not connect to motor: 25ida:ORM2:m4\n", "Could not connect to motor: 25ida:ORM2:m5\n", "Could not connect to motor: 25ida:slits:m1\n", "Could not connect to motor: 25ida:slits:m2\n", "Could not connect to motor: 25ida:slits:m3\n", "Could not connect to motor: 25ida:slits:m4\n", "Could not connect to motor: 25ida:slits:m5\n", "Could not connect to motor: 25ida:slits:m6\n", "Could not connect to motor: 25ida:slits:m7\n", "Could not connect to motor: 25ida:slits:m8\n", "Could not connect to motor: 25ida:BPM:m1\n", "APS device not found, suspenders not installed.\n" ] } ], "source": [ "# Import support packages\n", "import matplotlib.pyplot as plt\n", "import numpy as np\n", "# Import haven\n", "import haven\n", "# Load the motors and detectors\n", "haven.load_instrument()\n", "# The RunEngine will be responsible for executing the plans\n", "RE = haven.run_engine()\n", "# (Optional) Save the initials of the current beamline operator as metadata\n", "RE.md[\"operator\"] = \"MFW\" # <- Put your initials in here" ] }, { "cell_type": "markdown", "id": "5e967a53-ce82-462a-b25b-4672db40b616", "metadata": {}, "source": [ "## Preparing the Aerotech Flyer\n", "\n", "We need to get the horizontal axis of the aerotech XY stage as an Ophyd device, and the ion chambers to use as detectors.\n", "\n", "This can be done easily with the Haven registry.\n", "\n", "We will also use a **0.2 sec dwell time** for the rest of this tutorial, which we set on the device now." ] }, { "cell_type": "code", "execution_count": 2, "id": "ceed0912-c02f-4b53-939c-93ed3832d157", "metadata": {}, "outputs": [], "source": [ "aerotech = haven.registry.find(\"aerotech\")\n", "# Set dwell time here\n", "dwell_time = 0.2 # seconds\n", "aerotech.horiz.dwell_time.set(dwell_time).wait()\n", "# Get ion chamber devices\n", "ion_chambers = haven.registry.findall(\"ion_chambers\")" ] }, { "cell_type": "markdown", "id": "030fbffb-82a6-46f0-bfd8-1cf5d4c3080e", "metadata": {}, "source": [ "## 1D Fly-Scan\n", "\n", "Now we will **create the plan** to run the fly scan.\n", "\n", "We need to provide the *start* and *end* positions for the scan. For easy comparison to regular step scans, the *start* and *stop* positions are the motor position at the center of the first and last bins of the scan.\n", "\n", "We also need to inform the plan how often to make a new data bin. *num* tells the plan how many bins to create. The example code will produce 41 bins between −1000µm and 1000µm, which means each bin will cover 50µm." ] }, { "cell_type": "code", "execution_count": 3, "id": "60c4572c-a7be-411e-b541-7f37f4a6074a", "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/home/beams0/S25IDCUSER/micromamba/envs/haven-dev/lib/python3.9/site-packages/event_model/__init__.py:208: UserWarning: The document type 'bulk_events' has been deprecated in favor of 'event_page', whose structure is a transpose of 'bulk_events'.\n", " warnings.warn(\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Scan complete. UID: 0ebb79bd-eea1-4ff2-8a2e-5c4915cd13fc\n" ] } ], "source": [ "start, stop, num = (-1000, 1000, 41)\n", "plan = haven.fly_scan(ion_chambers, aerotech.horiz, start, stop, num)\n", "uid, = RE(plan, purpose=\"fly scanning tutorial\", sample=\"\")\n", "print(f\"Scan complete. UID: {uid}\")" ] }, { "cell_type": "markdown", "id": "9824345c-d5c3-4aec-9811-9a955ac57f57", "metadata": {}, "source": [ "### Viewing 1D Fly-Scan Results" ] }, { "cell_type": "code", "execution_count": 41, "id": "530a2e70-02a8-412f-81a2-21d10a88b0f5", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Text(0, 0.5, 'It net counts')" ] }, "execution_count": 41, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Load the data from the mongodb database\n", "client = haven.tiled_client()\n", "uid = \"0ebb79bd-eea1-4ff2-8a2e-5c4915cd13fc\"\n", "data = client[uid]['primary']['data'].read()\n", "\n", "# Create a new set of axes for plotting\n", "plt.figure()\n", "ax = plt.gca()\n", "# Plot It versus motor position (w/o offset for now)\n", "ax.plot(data.aerotech_horiz, data.Ipre_KB_net_counts, marker='o', linestyle=\"--\")\n", "ax.set_xlabel(\"Aerotech horiz /µm\")\n", "ax.set_ylabel(\"It net counts\")" ] }, { "cell_type": "markdown", "id": "508623e9-bd00-412e-85f9-934af290bd1f", "metadata": {}, "source": [ "## 2D Map Fly-Scanning\n", "\n", "In this section we will fly the horizontal axis and step the vertical axis.\n", "\n", "Instead of ``fly_scan()`` we will use ``grid_fly_scan()``. " ] }, { "cell_type": "code", "execution_count": 7, "id": "d40ce6dd-55e9-4571-8469-2314bbf9691e", "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/home/beams0/S25IDCUSER/micromamba/envs/haven-dev/lib/python3.9/site-packages/event_model/__init__.py:208: UserWarning: The document type 'bulk_events' has been deprecated in favor of 'event_page', whose structure is a transpose of 'bulk_events'.\n", " warnings.warn(\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Scan complete. UID: 5e00f671-7b4b-4215-8ed9-224566a6fa35\n" ] } ], "source": [ "# Set parameters for fly scan here\n", "step_params = (-1500, 500, 21) # (start, stop, num)\n", "fly_params = (-1000, 1000, 41) # (start, stop, num)\n", "# Create the plan, slow axis listed first\n", "plan = haven.grid_fly_scan(ion_chambers, aerotech.vert, *step_params, aerotech.horiz, *fly_params, snake_axes=True)\n", "# Execute the plan\n", "uid, = RE(plan, purpose=\"fly scanning tutorial\", sample=\"\")\n", "print(f\"Scan complete. UID: {uid}\")" ] }, { "cell_type": "markdown", "id": "43aec1d0-c3da-478c-8b15-eb119c9e1c79", "metadata": {}, "source": [ "### Viewing 2D Fly-Scan Results" ] }, { "cell_type": "code", "execution_count": 39, "id": "5e2550b6-7f52-40b5-a75e-063b35d8e2bb", "metadata": {}, "outputs": [], "source": [ "# Load the data from the mongodb database\n", "client = haven.tiled_client()\n", "uid = \"5e00f671-7b4b-4215-8ed9-224566a6fa35\"\n", "# Get the shape of the map from the metadata\n", "metadata = client[uid].metadata\n", "extent = (*metadata['start']['extents'][1], *metadata['start']['extents'][0])\n", "shape = metadata['start']['shape']\n", "# Read and re-shape the data\n", "data = client[uid]['primary']['data'].read()" ] }, { "cell_type": "code", "execution_count": 40, "id": "f997df14-a7c7-4e03-9864-93eb8a0641e5", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Text(0, 0.5, 'Aerotech vert /µm')" ] }, "execution_count": 40, "metadata": {}, "output_type": "execute_result" }, { "data": { 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8Dymrvbv+iDxPhgJ7aUz71fJ0siNdpDGuumJ5TAd5zLXD3tIYJdfo0oPqfOW6Zii4h4Ll9+K+78OlMW2eypDGXPoiWBpTFCbviHilozzP987NlMYcnx4gjaG6xwIGERGRFVk6n0hDnYuEBQwiIiIrMkADAyzpg9EwR/JkAYOIiMiKmmoNRsPMFRERETVqrMEgIiKyIksHy+JAW0RERFSJQWhgsGQcDM6mSkRERM0FazCIiIisyGBhEwkH2iIiIqJKLJ9NtWEWMBpmroiIiKhRYw0GERGRFZVDg3ILBsuyZN+6xAIGERGRFbGJhIiIiEgh1mAQERFZUTksa+YoVy8rqmIBg4iIyIqaahMJCxhERERWxMnOiIiIiBRiDUYdKvhTIWycRLXbz0/roSCVMmmES6a8nHgzyCCNyctxksYE7Kn+fCpEb/i7NEaPAmmM02WdNOZiT3m7pbfXDWnMtWBHeX4y5R8Xu0JpCG4GyWNyIuTn5XJIfn3K5CEI/be8BfdCb1t5QgBa/KjgOl6W34u5nZylMS0Hp0tjyqfqpTGnR8jve9TwOa5gL7+lcTNYHmN3T740pjTXTRpzK0j+3eGWJr+nT6S1ksb4FsivjxJeqcXSmNPjAqUxnofkx7oZXHOeDbbqnJMSAhoYLOiDIfiYKhEREd2NTSRERERECrEGg4iIyIqa6nTtLGAQERFZUbmFs6lasm9dapi5IiIiokaNNRhERERWxCYSIiIiUp0BNjBY0KBgyb51qWHmioiIiBo11mAQERFZUbnQoNyCZg5L9q1LLGAQERFZEftgEBERkeqEhbOpCo7kSURERM0FazCIiIisqBwalFswYZkl+9YlFjCIiIisyCAs60dhqL+JX83CJhIiIiJSHWswiIiIrMhgYSdPS/atSyxg1ODDDz/EO++8g6ysLNx3331YsmQJHnnkEcX7O/9PB1utY7Xb7QqU1GvJ36IivTwdx8vyG/ByhEEa45JpK405H139OVdwypSfl12hNAQumfKYG5d95Onkyq9hkV5+rLKH86Qxwcvl1+dKR638YAqEfCq/QMenB0hj3NKUVd9ef0T+ppUd0kljbgbJ70V8ESw/VqQ833a35O99iVe5NOaSgq8Ghyvyzw9S3KUh9gXy6+N5SH4s/S83pTG6HCdpjNOlUmmM42X5PX0rTv758fnISxpT6qTgfS+o+TuxvLj++jUYoIHBgn4U5u67fPlyLF++HOnp6QCA++67DzNmzMDAgQMBADExMVizZo3JPt26dcOBAwfMOk7DLPY0ABs2bMCkSZMwffp0HD58GI888ggGDhyIzEwFv2hEREQNVKtWrfDWW2/h4MGDOHjwIPr06YMhQ4bg2LFjxpgBAwYgKyvLuGzdutXs47CAUY3FixfjmWeewbPPPouwsDAsWbIEgYGBWL58ubWzRkRETUjFSJ6WLOYYNGgQHnvsMbRv3x7t27fH3Llz4eLiYlJDodVq4efnZ1w8PT3NPi8WMKpQUlKClJQU9O/f32R9//79sW/fPivlioiImqKKPhiWLLVVXl6O9evXo6CgAJGRkcb1SUlJ8PHxQfv27TF27Fjk5OSYnTb7YFQhNzcX5eXl8PX1NVnv6+uL7OzsSvHFxcUoLi42vs7Pz6/zPBIREd3p7t8erVYLrbbqvi+pqamIjIxEUVERXFxcsGnTJtx7770AgIEDB2L48OEIDg7G2bNn8cYbb6BPnz5ISUmpNr2qsAajBhqNabWTEKLSOgCYP38+3N3djUtgYGB9ZZGIiBo5AzTG+UhqtfzeyTMwMNDkt2j+/PnVHrNDhw44cuQIDhw4gBdeeAFjxozB8ePHAQAjRozA448/jvDwcAwaNAjfffcdTp48iW+//das82INRhX0ej1sbW0r1Vbk5ORUqtUAgKlTpyIuLs74Oj8/n4UMIiJSRFj4FIn4fd9z587Bzc3NuL6m2gYHBwe0bdsWABAREYHk5GS89957+Oc//1kp1t/fH8HBwTh16pRZ+WIBowoODg7o2rUrEhMT8ec//9m4PjExEUOGDKkUX1M1FBERUU3Umk3Vzc3NpIBhDiGESVP/na5cuYJz587B39/frDRZwKhGXFwcRo8ejYiICERGRmLlypXIzMzEuHHjrJ01IiKiWps2bRoGDhyIwMBA3LhxA+vXr0dSUhK2bduGmzdvIj4+Hk8++ST8/f2Rnp6OadOmQa/Xm/zDrQQLGNUYMWIErly5gtmzZyMrKwvh4eHYunUrgoPlg/sQEREpVd8jeV66dAmjR49GVlYW3N3d0alTJ2zbtg39+vVDYWEhUlNTsXbtWly/fh3+/v7o3bs3NmzYAFdXV7OOwwJGDcaPH4/x48dbOxtERNSEqdVEolRCQkK123Q6HbZv317rvNyJT5EQERGR6liDQUREZEX1PRdJfWEBg4iIyIrqu4mkvrCJhIiIiFTHGgwiIiIraqo1GCxgEBERWVFTLWCwiYSIiIhUxxqMOlTwp0LYOIlqt7f40VGaxq2gMmmM5yFbaYzvU+nSmEtfyAcRc/+t6qFk71Skd5DGlDlXf13+iJGGwOO4PJ1r98pL91eDyqUxTpnyj0vZr/Jhem/FXZbG3EzTS2O8D0pDEL75vDQm/V9B8oQU8t4mHzL/coRBGuOSKf/fx+my/D3Ld5Z/Nhxz5feHS4Y8HbVc7SL/zAf/J08aU+TvIo0530ce4/uz/DN/paP8fXfMlX9WL2V6SmNsesrfL4NOfo85XKk5HYOtPL9qaao1GCxgEBERWZGAZY+a1l9RyDwsYBAREVlRU63BYB8MIiIiUh1rMIiIiKyoqdZgsIBBRERkRU21gMEmEiIiIlIdazCIiIisqKnWYLCAQUREZEVCaCAsKCRYsm9dYhMJERERqY41GERERFZkgMaigbYs2bcusYBBRERkRU21DwabSIiIiEh1rMEgIiKyoqbayZMFDCIiIitqqk0kLGAQERFZUVOtwWAfDCIiIlIdazAaON+gq9KY0kPe0pi0I0HSGBdneSk4Y4xBGuN4Qp5Okbc8nRYK0ilVkGfHXHmMXYH8o2BXKA2BY6485rKTXhrTdsMtaUx2pIs0ZufySGmMI4Q05mqXcmkMAJTpFHyl6OUXsuyyTtHxpOkoSMbzhPzcciLk/4spuc90/XLk+fla/nm+2tlDGlPoo87/jxd6O0hjXDLk95B9gTzGplDBdQ66IY0puqUgz4dsa9xeXiJNQjXCwiaShlqDUasCxs8//4ykpCTk5OTAYDD9oVi8eLEqGSMiImoOBAAhL3/VuH9DZHYBY968eXj99dfRoUMH+Pr6QqP5o+R0599ERETUfJldwHjvvffwySefICYmpg6yQ0RE1LwYoIGGI3kCNjY2eOihh+oiL0RERM0OnyL53csvv4wPPvigLvJCRERETYTZNRhTpkzB448/jjZt2uDee++Fvb29yfaNGzeqljkiIqKmziA00HCgLWDixInYtWsXevfuDS8vL3bsJCIisoAQFj5F0kAfIzG7gLF27Vp89dVXePzxx+siP0RERNQEmF3A8PT0RJs2beoiL0RERM0OO3n+Lj4+HjNnzsStW/KRBomIiKhmFQUMS5aGyOwajPfffx9nzpyBr68vQkJCKnXyPHTokGqZIyIiaurYyfN3Q4cOrYNsWC49PR1z5szBDz/8gOzsbAQEBOBvf/sbpk+fDgeHP8alr6pT6vLlyzFu3Djj69TUVMTGxuLnn3+Gp6cnnn/+ebzxxhvs0EpERKSQ2QWMmTNn1kU+LPbrr7/CYDDgn//8J9q2bYujR49i7NixKCgowMKFC01iV61ahQEDBhhfu7u7G//Oz89Hv3790Lt3byQnJ+PkyZOIiYmBs7MzJk+eXG/nQ0REzQOfIpE4cOAAnn/+efzvf/9TK0mzDBgwwKTQ0Lp1a6SlpWH58uWVChgtWrSAn59flemsW7cORUVFWL16NbRaLcLDw3Hy5EksXrwYcXFxrMUgIiJV3S5gWNLJU8XMqMjsTp42NjawtbWttDz00EO4cUM+jW59ysvLg6enZ6X1sbGx0Ov1eOCBB7BixQqTGWH379+PqKgoaLVa47ro6GhcvHgR6enpVR6nuLgY+fn5JgsREVFzZnYNxqZNm0xel5eX48yZM3jvvffw9ttvq5YxS505cwZLly7FokWLTNbPmTMHffv2hU6nw/fff4/JkycjNzcXr7/+OgAgOzsbISEhJvv4+voat4WGhlY61vz58zFr1qy6OREiImrSmupjqmYXMIYMGVLl+s6dO+O5557D8OHDLc7UneLj46U/3snJyYiIiDC+vnjxIgYMGIDhw4fj2WefNYmtKEhU5BkAZs+ebbL+7mYQ8Xv9U3XNI1OnTkVcXJzxdX5+PgIDA2vMMxEREQCI3xdL9m+IVOuD0bp1a+Tm5qqVnFFsbCxGjhxZY8ydNQ4XL15E7969ERkZiZUrV0rT7969O/Lz83Hp0iX4+vrCz88P2dnZJjE5OTkA/qjJuJtWqzVpUqlgd94RNo6O1R77epj8tgj4yEsaUxgiL73aqTVsSW7l86yka540JOAzF2nM+WiDNMYtTX4Ll+mkIYoU6eXvl6OCaZMdL6vz30Z+hzJpTFiH89KYE2mtpDE2zqWK8mRXKH8/7DKr/0yY42qYrTSmzFn+nilJp8RLfq09jstbnK8d9pbGIFgeUuYkj7G7JT93uwL5vRiypUAakz7IWRqjJM8tTsjzc/OWmzydDPmxZN+/hqKG+rPdeKhSwCgqKsKiRYswfvx4NZIzodfrodfrFcVeuHABvXv3RteuXbFq1SrY2Mg/8IcPH4ajoyNatGgBAIiMjMS0adNQUlJifLx1x44dCAgIqNR0QkREZCk2kfzOw8OjUlPBjRs3UF5ejhYtWuCjjz4yrr969arlOVTo4sWL6NWrF4KCgrBw4UJcvnzZuK3iiZEtW7YgOzsbkZGR0Ol02LVrF6ZPn47nnnvOWAMxatQozJo1CzExMZg2bRpOnTqFefPmYcaMGXyChIiI1NdE20jMLmC8++67DfKHdseOHTh9+jROnz6NVq1Mq3wr+lDY29vjww8/RFxcHAwGA1q3bo3Zs2djwoQJxlh3d3ckJiZiwoQJiIiIgIeHB+Li4kz6WBAREanG0uG+G3sNxsqVKzF48GDExMTUYXZqLyYmRpq3u8fKqE7Hjh2xZ88elXJGRETU/CgeB+OLL75ASEgIunXrhnnz5uH48eN1mS8iIqJmoWIkT0uWhkhxAWPXrl3IysrCxIkTceTIEURGRqJNmzaIi4tDUlKSyWBVREREpExTnU3VrJE8PTw88Le//Q1ffvklLl++jA8++ABFRUUYPXo0vL298fe//x3//ve/UVAgf6yJiIiImi6zhwqv4ODggAEDBuDDDz/EuXPnsH37doSEhGDOnDlYvHixmnkkIiJquoTG8qUBUm2grYiICERERGD27NkoLVU2KA8REVFz11RnU611DUZN7O3t6yJZIiIiaiRUq8EgIiKiWuBAW0RERKS2pjpUuNlNJJmZmcaRMe8khEBmZqYqmSIiIqLGzewCRmhoqMk8HxWuXr2K0NBQVTJFRETUrAgLlgbK7CYSIUSVc5HcvHkTjjVMTU5ERESVNdUmEsUFjIrJvjQaDd544w04OTkZt5WXl+Onn35C586dVc8gERFRk9bcO3kePnwYwO0ajNTUVDg4OBi3OTg44E9/+hOmTJmifg6JiIio0VFcwNi1axeA27OWLl26FK6urnWWqaZCf9gAO/vq52i5GmYrTSMnQl40dcmQx9jp5FVoRXp1isFPtD4mjfkmrIc0xvOQPD++/70ijUl71kMa0+KEgusDda6hx3F5THakizTGplCd+X8crsjvQ7tMZV8VZTp5jGOuOtfR7p58aYzHRiXfU/JjuWbIu6tdjlBwKH2RNKTtB+XSmFv+8gt9sac8O3YF8vfi9AgnaYyS87LLlDehlznL82OnYCaKIr08xvFyzccqL66TYaKqofl9sWT/hsesK1hWVobPPvsMGRkZdZUfIiKi5sWSDp4NuKOnWQUMOzs7BAcHo7xcXsImIiKi5svsOqDXX38dU6dOxdWrV+siP0RERM1LE63BMPsx1ffffx+nT59GQEAAgoOD4ezsbLL90KFDqmWOiIioybN0RtTG/phqhaFDh9ZBNoiIiKgpMbuAMXPmzLrIBxERUbNU39O1L1++HMuXL0d6ejoA4L777sOMGTMwcODA39MTmDVrFlauXIlr166hW7du+OCDD3DfffeZdZxaPYdz/fp1fPzxxyZ9MQ4dOoQLFy7UJjkiIqLmq577YLRq1QpvvfUWDh48iIMHD6JPnz4YMmQIjh27PcTAggULsHjxYixbtgzJycnw8/NDv379cOPGDbOOY3YB45dffkH79u3x9ttvY+HChbh+/ToAYNOmTZg6daq5yREREVE9GjRoEB577DG0b98e7du3x9y5c+Hi4oIDBw5ACIElS5Zg+vTpGDZsGMLDw7FmzRrcunULn3/+uVnHMbuAERcXh5iYGJw6dcpk7pGBAwdiz5495iZHRETUvFV08rRkqaXy8nKsX78eBQUFiIyMxNmzZ5GdnY3+/fsbY7RaLaKiorBv3z6z0ja7D0ZycjL++c9/VlrfsmVLZGdnm5scERFRs6YRtxdL9geA/HzT0W21Wi20Wm2V+6SmpiIyMhJFRUVwcXHBpk2bcO+99xoLEb6+vibxvr6+Zg+yaXYNhqOjY6WTAIC0tDR4e3ubmxwREVHzplIfjMDAQLi7uxuX+fPnV3vIDh064MiRIzhw4ABeeOEFjBkzBsePHzduv3vW9OpmUq+J2TUYQ4YMwezZs/Hll18aM5GZmYnXXnsNTz75pLnJERERkQrOnTsHNzc34+vqai+A25OUtm3bFgAQERGB5ORkvPfee3j11VcBANnZ2fD39zfG5+TkVKrVkDG7BmPhwoW4fPkyfHx8UFhYiKioKLRt2xaurq6YO3euuckRERE1byr1wXBzczNZaipgVMqCECguLkZoaCj8/PyQmJho3FZSUoLdu3ejRw/5JJV3MrsGw83NDXv37sUPP/yAQ4cOwWAwoEuXLnj00UfNTYqIiIgsHe7bzH2nTZuGgQMHIjAwEDdu3MD69euRlJSEbdu2QaPRYNKkSZg3bx7atWuHdu3aYd68eXBycsKoUaPMOo7ZBYz09HSEhISgT58+6NOnj7m7ExERkRVdunQJo0ePRlZWFtzd3dGpUyds27YN/fr1AwC88sorKCwsxPjx440Dbe3YsQOurq5mHcfsAkbr1q3Ro0cPjB49GsOHD4enp6e5SRAREVGFeq7BSEhIqHG7RqNBfHw84uPja58n1KKAcfDgQXzxxRd488038dJLLyE6Ohp/+9vfMHjwYLPae5qDsjFXIZyrvyau6/TSNC49YpDGXPUyK1vVckuT3w5eqSXSmJ0nIqUxjgo+EfZDL0tjTnSRF3BtCqUhKNLLe0f7/lwsjbkVlyeNKc2QP21VpJdfH5dMBV2oPpb/x+HTXn6PXeyprPe442V5npScm89BBXlykp9b2b3yfCs51tUwW2mMS6Y0BDch/47MjpRfwwF/l49H8M1v8mGdXQ/Kr6FdoTw/uoPy87ocIX/fi+RfifA4Lk/nmoL33UXyxGV5ST1OUVrPBYz6YnYnzy5duuCdd95BZmYmvvvuO/j4+OD555+Hj48P/vGPf9RFHomIiKiRqdVcJMDtKpTevXvjo48+ws6dO9G6dWusWbNGzbwRERE1fVYcybMu1bqAce7cOSxYsACdO3fGAw88AGdnZyxbtkzNvBERETV5FSN5WrI0RGb3wVi5ciXWrVuH//73v+jQoQOefvppfP311wgJCamD7BEREVFjZHYNxpw5c/Dggw/i4MGDOHbsGKZNm9ZgChchISHQaDQmy2uvvWYSk5mZiUGDBsHZ2Rl6vR4vvvgiSkpMOy6mpqYiKioKOp0OLVu2xOzZsyFEAy0iEhFR41bP07XXF7NrMDIzM80ej7w+zZ49G2PHjjW+dnFxMf5dXl6Oxx9/HN7e3ti7dy+uXLmCMWPGQAiBpUuXArg9WUy/fv3Qu3dvJCcn4+TJk4iJiYGzszMmT55c7+dDRETUGJldwGjIhQsAcHV1hZ+fX5XbduzYgePHj+PcuXMICAgAACxatAgxMTGYO3cu3NzcsG7dOhQVFWH16tXQarUIDw/HyZMnsXjxYsTFxTX48yciosZFAwtnU1UtJ+qqdSfPhurtt9+Gl5cXOnfujLlz55o0f+zfvx/h4eHGwgUAREdHo7i4GCkpKcaYqKgokzE9oqOjcfHiRaSnp1d5zOLiYuTn55ssREREzZnZNRgN2UsvvYQuXbrAw8MDP//8M6ZOnYqzZ8/i448/BnB7dri7Z4Pz8PCAg4MDsrOzjTF39ymp2Cc7OxuhoaGVjjt//nzMmjWrDs6IiIiaPEsfNW1qj6nWl/j4+EodN+9eDh48CAB4+eWXERUVhU6dOuHZZ5/FihUrkJCQgCtXrhjTq6qJ4+557u+OqejgWV3zyNSpU5GXl2dczp07Z/F5ExFRM8FOntYRGxuLkSNH1hhT3VMs3bt3BwCcPn0aXl5e8PPzw08//WQSc+3aNZSWlhprKfz8/Iy1GRVycnIAoFLtRwWtVsth0omIiO5gdgHj0qVLmDJlCr7//nvk5ORUenyzvLxctcwBgF6vh16vYID6Khw+fBgA4O/vDwCIjIzE3LlzkZWVZVy3Y8cOaLVadO3a1Rgzbdo0lJSUwMHBwRgTEBDQYB7HJSKiJqSJzkVidgEjJiYGmZmZeOONN+Dv799gnqrYv38/Dhw4gN69e8Pd3R3Jycl4+eWXMXjwYAQFBQEA+vfvj3vvvRejR4/GO++8g6tXr2LKlCkYO3Ys3NzcAACjRo3CrFmzEBMTg2nTpuHUqVOYN28eZsyY0WDOlYiImg5LR+NsMiN57t27Fz/++CM6d+5cB9mpPa1Wiw0bNmDWrFkoLi5GcHAwxo4di1deecUYY2tri2+//Rbjx4/HQw89BJ1Oh1GjRmHhwoXGGHd3dyQmJmLChAmIiIiAh4cH4uLiEBcXZ43TIiIiapTMLmAEBgY2yFEtu3TpggMHDkjjgoKC8M0339QY07FjR+zZs0etrBEREVWviTaRmP0UyZIlS/Daa69VOyYEERERmaE5P0Xi4eFh0v+goKAAbdq0gZOTE+zt7U1ir169qm4OiYiIqNFRVMBYsmRJHWejabpxwBu2Wsdqtzs6y4udbmnyt6hMJ8/LraAyeToP50ljStNdpDFK3AyWx9gVyh/99TxkK42xL1BSvDdIIy70dpDG2O31kca4FsiP5XNQnuerYfJzv9G+hTTmYk9552W7W8o6OLtmyM/t0iPymPwQBV9N+kJpiJ1TiTTmaoG7PB35oRR9fgyXnaUxN7sUS2P+ndRdGuOSKa+gvjxAfmLe2+SfQ6dLpdIYg05+v7qckMcouX9snOX5Kcut+Yuz3K7+OvU3606eY8aMqet8EBERNU8cyfO2rVu3Yvv27ZXW79ixA999950qmSIiImo2mmgfDLMLGK+99lqVg2kZDAa89tprqmSKiIiIGjezH1M9deoU7r333krr77nnHpw+fVqVTBERETUXTbUPhtk1GO7u7vjtt98qrT99+jScneUdmIiIiOgObCK5bfDgwZg0aRLOnDljXHf69GlMnjwZgwcPVjVzRERE1DiZXcB455134OzsjHvuuQehoaEIDQ1FWFgYvLy8TIbcJiIiIgXEH80ktVkaag2G2X0w3N3dsW/fPiQmJuJ///sfdDodOnXqhJ49e9ZF/oiIiJq2JjpUuNkFDADQaDTo378/evbsCa1Wy1lGiYiIyITZTSQGgwFz5sxBy5Yt4eLigrNnzwIA3njjDSQkJKieQSIioiaNnTxve/PNN7F69WosWLAADg5/DJ3csWNHfPzxx6pmjoiIqKmzpP+FpY+41iWzCxhr167FypUr8fTTT8PW9o9x4zt16oRff/1V1cwRERFR42R2AePChQto27ZtpfUGgwGlpfIJZoiIiKjpM7uAcd999+HHH3+stP5f//oX7r//flUyRURE1Gw00T4YZj9FMnPmTIwePRoXLlyAwWDAxo0bkZaWhrVr1+Kbb76pizwSERE1WRwq/HeDBg3Chg0bsHXrVmg0GsyYMQMnTpzAli1b0K9fv7rIIxERETUytRoHIzo6GtHR0Wrnpdkp0svHDynyNkhjAvbIi69lzrbSGMdDbtKY/BB5nt3SK8+2ezf7Ank6np+XSWMyhsjTKXOWx/jtvymNuXavfK6dMmf5e3EjWF6ud82Qv+++PxdLYy70dpDGGHTy98tnj7KxbnIi5OdmUyiP0eXIz7/shE5BjuQxdoXyVIr08ve15LL8/lBy7i0OOUpj7Avk+SlVcC8iVysNcbok71unS7skjfH9sZU05vKAImmMkv+KW/wov4ZF+pq3l5v977eFGmgthCXMvoStW7fGlStXKq2/fv06WrdurUqmiIiImo0m2gfD7AJGeno6yssr/8dTXFyMCxcuqJIpIiIiatwUN5Fs3rzZ+Pf27dvh7u5ufF1eXo7vv/8eISEhqmaOiIioqWuqnTwVFzCGDh0K4PY8JGPGjDHZZm9vj5CQECxatEjVzBERETV5zX2yM4Phdqer0NBQJCcnQ6+X9JAhIiKiZsvsp0gqJjcjIiIiyzXVJpJaPYize/duDBo0CG3btkW7du0wePDgKkf3JCIiIgk+RXLbZ599hkcffRROTk548cUXERsbC51Oh759++Lzzz+vizwSERFRI2N2E8ncuXOxYMECvPzyy8Z1L730EhYvXow5c+Zg1KhRqmaQiIioSWuinTzNrsH47bffMGjQoErrBw8ezP4ZREREZqrog2HJ0hCZXcAIDAzE999/X2n9999/j8DAQFUyRURE1Gw00T4YZjeRTJ48GS+++CKOHDmCHj16QKPRYO/evVi9ejXee++9usgjERERNTJmFzBeeOEF+Pn5YdGiRfjyyy8BAGFhYdiwYQOGDBmiegaJiIiatCbaB8OsAkZZWRnmzp2Lf/zjH9i7d29d5YmIiKjZ4DgYAOzs7PDOO+9UOdkZERERUQWzO3k++uijSEpKqoOsWCYpKQkajabKJTk52RhX1fYVK1aYpJWamoqoqCjodDq0bNkSs2fPhhANtIhIRESNGzt53jZw4EBMnToVR48eRdeuXeHs7GyyffDgwaplzhw9evRAVlaWybo33ngDO3fuREREhMn6VatWYcCAAcbXd84Mm5+fj379+qF3795ITk7GyZMnERMTA2dnZ0yePLluT4KIiJqdptpEUqtOngCwePHiSts0Go3Vmk8cHBzg5+dnfF1aWorNmzcjNjYWGo3GJLZFixYmsXdat24dioqKsHr1ami1WoSHh+PkyZNYvHgx4uLiKqVVk2K9ATaOhmq3O16u1UjtleSH2EpjQrbclMbc8tdJYy6Gyc/frkB+XtfD5J+IyxEe0hig+utrpC+WhmTDRRrjkiHPs+9TGdKYE2mtpDF2hfKPZqGPVhpT5iS/Pm5p8mNd7KngOgNou6FAGnN6hJM05tq98vvMMVeeH7d0+ffRxWEl0hiXQ/LPRomXPD92t5R/f9TE/pY6vygBe+TpXOmo4D57MEgaU+St4B7KlR/LoJOnU+asznUmy5j9C2cwGKpdGlLfjM2bNyM3NxcxMTGVtsXGxkKv1+OBBx7AihUrjDPFAsD+/fsRFRUFrfaPGz06OhoXL15Eenp6lccqLi5Gfn6+yUJERKRIE20isehf6KKiIrXyobqEhARER0dXGvxrzpw5+Ne//oWdO3di5MiRmDx5MubNm2fcnp2dDV9fX5N9Kl5nZ2dXeaz58+fD3d3duHDAMSIiUowFjNvKy8sxZ84ctGzZEi4uLvjtt98A3O7vkJCQoHoG4+Pjq+28WbEcPHjQZJ/z589j+/bteOaZZyql9/rrryMyMhKdO3fG5MmTMXv2bLzzzjsmMXc3g1R08KyueWTq1KnIy8szLufOnbPklImIiBq9Wk12tmbNGixYsABjx441ru/YsSPefffdKn/ULREbG4uRI0fWGBMSEmLyetWqVfDy8lLU4bR79+7Iz8/HpUuX4OvrCz8/v0o1FTk5OQBQqWajglarNWlSISIiUkrz+2LJ/g2R2QWMtWvXYuXKlejbty/GjRtnXN+pUyf8+uuvqmYOAPR6PfR6veJ4IQRWrVqFv//977C3t5fGHz58GI6OjmjRogUAIDIyEtOmTUNJSQkcHBwAADt27EBAQEClggwREZHFmuhInmY3kVy4cAFt27attN5gMKC0tFSVTFnihx9+wNmzZ6usSdmyZQs++ugjHD16FGfOnMHHH3+M6dOn47nnnjPWQIwaNQparRYxMTE4evQoNm3ahHnz5pn9BAkREZESTXU2VbNrMO677z78+OOPCA4ONln/r3/9C/fff79qGauthIQE9OjRA2FhYZW22dvb48MPP0RcXBwMBgNat26N2bNnY8KECcYYd3d3JCYmYsKECYiIiICHhwfi4uIQFxdXn6dBRETUqJldwJg5cyZGjx6NCxcuwGAwYOPGjUhLS8PatWvxzTff1EUezfL5559Xu23AgAEmA2xVp2PHjtizZ4+a2SIiIqoam0huGzRoEDZs2ICtW7dCo9FgxowZOHHiBLZs2YJ+/frVRR6JiIiatib2iCpQixoM4PbAU9HR0ZXWHzlyBJ07d7Y0T0RERNTIWTxWdV5eHj788EN06dIFXbt2VSNPREREzUZT7eRZ6wLGDz/8gKeffhr+/v5YunQpHnvssUoDXhEREZEER/K8PULmm2++idatW+Opp56Cp6cnSktL8dVXX+HNN99sEE+REBERUfXmz5+PBx54AK6urvDx8cHQoUORlpZmEhMTE1Np1Ozu3bubdRzFBYzHHnsM9957L44fP46lS5fi4sWLWLp0qVkHIyIiIlP13USye/duTJgwAQcOHEBiYiLKysrQv39/FBSYzoY8YMAAZGVlGZetW7eadRzFnTx37NiBF198ES+88ALatWtn1kGIiIioGvX8mOq2bdtMXq9atQo+Pj5ISUlBz549jeu1Wi38/PxqnS3FNRg//vgjbty4gYiICHTr1g3Lli3D5cuXa31gIiIisr68vDwAgKenp8n6pKQk+Pj4oH379hg7dqxxXi6lFBcwIiMj8dFHHyErKwvPP/881q9fj5YtW8JgMCAxMRE3btww68BERESkXhNJfn6+yVJcXCw9thACcXFxePjhhxEeHm5cP3DgQKxbtw4//PADFi1ahOTkZPTp00dRmn+cV8Vc5LWQlpaGhIQEfPrpp7h+/Tr69euHzZs31za5JiM/Px/u7u4IWvkGbJwcq41r8WP12yrEvCRv81pyqI80xtGpRB6z3U0aY18gv10uR0hD4JIpL9uW6eTpuD4sL1EXJvpIY9zSy6Ux+SG28gwpkN+hTBpj4yyf18dQIJ/MT0k6yFUwE7Be2ZeK4wkFb5oCdoXymCK9/F60K5DPH3QrSP5+OGXKW5PLnOX5KfGS32dKjuWYKz9WmbP83BV9xjIM0phLj8hj3NLk59VycLo0JiMxRBqj5PrYD625Br68oBiH/vIu8vLy4OYm/26sjYrfik7/Nw+2DvLfg+qUlxThl1XTKq2fOXMm4uPja9x3woQJ+Pbbb7F37160atWq2risrCwEBwdj/fr1GDZsmKJ8WTQORocOHbBgwQKcP38eX3zxhSVJERERNU8qPaZ67tw55OXlGZepU6fWeNiJEydi8+bN2LVrV42FCwDw9/dHcHAwTp06pfi0ajWS591sbW0xdOhQDB06VI3kiIiIyExubm6KaluEEJg4cSI2bdqEpKQkhIaGSve5cuUKzp07B39/f8X5sXgkTyIiIqq9+n5MdcKECfjss8/w+eefw9XVFdnZ2cjOzkZh4e22yZs3b2LKlCnYv38/0tPTkZSUhEGDBkGv1+PPf/6z4uOoUoNBREREtVTPj6kuX74cANCrVy+T9atWrUJMTAxsbW2RmpqKtWvX4vr16/D390fv3r2xYcMGuLq6Kj4OCxhERETNiOzZDp1Oh+3bt1t8HBYwiIiIrEgjBDS1f6DTon3rEgsYRERE1lTPTST1hZ08iYiISHWswSAiIrKi2jwJcvf+DRELGERERNbEJhIiIiIiZViDQUREZEVsIiEiIiL1NdEmEhYwiIiIrKip1mCwDwYRERGpjjUYRERE1sQmEjKX3xYH2Nk7VLs9P0QjTePL1wdIY7zHXpHGFCb6SGMefWGfNGbf7G7SGMfLttKYm10KpTHI1UpDyg57S2NcCuSfvvwQeZ7tFKSjhO+PCioOn74hDSk8JH9Pyx4ukMbc0tlLY5xO6KQxAOCYK79GZc7y+94rtVgac+lB+f2hhOch+Xtf5ixPxzVDfu6XB5RKY+wK5V/LSq6hks+Yt5f8PvPsd0saY/9+oDQmJ0J+fdLO+0pjJj39rTRGyfdmjuS7w1BUJE1DTQ21mcMSbCIhIiIi1bEGg4iIyJqEuL1Ysn8DxAIGERGRFfEpEiIiIiKFWINBRERkTXyKhIiIiNSmMdxeLNm/IWITCREREamONRhERETW1ESbSBpNDcbcuXPRo0cPODk5oUWLFlXGZGZmYtCgQXB2doZer8eLL76IkpISk5jU1FRERUVBp9OhZcuWmD17NsRdj/js3r0bXbt2haOjI1q3bo0VK1bU1WkREVEzV/EUiSVLQ9RoajBKSkowfPhwREZGIiEhodL28vJyPP744/D29sbevXtx5coVjBkzBkIILF26FACQn5+Pfv36oXfv3khOTsbJkycRExMDZ2dnTJ48GQBw9uxZPPbYYxg7diw+++wz/Pe//8X48ePh7e2NJ598sl7PmYiImgGOg2Fds2bNAgCsXr26yu07duzA8ePHce7cOQQEBAAAFi1ahJiYGMydOxdubm5Yt24dioqKsHr1ami1WoSHh+PkyZNYvHgx4uLioNFosGLFCgQFBWHJkiUAgLCwMBw8eBALFy5kAYOIiEihRtNEIrN//36Eh4cbCxcAEB0djeLiYqSkpBhjoqKioNVqTWIuXryI9PR0Y0z//v1N0o6OjsbBgwdRWlr1PALFxcXIz883WYiIiJRoqk0kTaaAkZ2dDV9f04lyPDw84ODggOzs7GpjKl7LYsrKypCbm1vlsefPnw93d3fjEhgon/iHiIgIwB+dPC1ZGiCrFjDi4+Oh0WhqXA4ePKg4PY2m8gyDQgiT9XfHVHTwNDfmTlOnTkVeXp5xOXfunOI8ExERNUVW7YMRGxuLkSNH1hgTEhKiKC0/Pz/89NNPJuuuXbuG0tJSY42En5+fsaaiQk5ODgBIY+zs7ODl5VXlsbVarUmzCxERkVJNdS4SqxYw9Ho99Hq9KmlFRkZi7ty5yMrKgr+/P4DbHT+1Wi26du1qjJk2bRpKSkrg4OBgjAkICDAWZCIjI7FlyxaTtHfs2IGIiAjY29urklciIiKjJvoUSaPpg5GZmYkjR44gMzMT5eXlOHLkCI4cOYKbN28CAPr37497770Xo0ePxuHDh/H9999jypQpGDt2LNzc3AAAo0aNglarRUxMDI4ePYpNmzZh3rx5xidIAGDcuHHIyMhAXFwcTpw4gU8++QQJCQmYMmWK1c6diIiosdGIu0eZaqBiYmKwZs2aSut37dqFXr16AbhdCBk/fjx++OEH6HQ6jBo1CgsXLjRpvkhNTcWECRPw888/w8PDA+PGjcOMGTNM+lfs3r0bL7/8Mo4dO4aAgAC8+uqrGDdunOK85ufnw93dHUEr34CNk2PtTxqAo1OJNMZVVyyNubHXRxpTFFYojenQ6pI05sy+YGlMmZM6t51j0A1pjN1ed2lMmU5+LCXXx/GEPKEib/nEAS6Z8rL/zSB1JiAw6OTp+AZdVZRWYaKC+0wvf+9LvMqlMTbOVT/VZSJX3nSp5PxtCuXvh7eC7mKXHlHnWEru+1bv2EpjTo9wksZAL/9+UcIuU/5daFdQdT+3Oyn5/Dhell9D14ya0ykvKcKhL19HXl6e8Z9UtVX8VkQOnA07+9r/VpSVFmH/dzPqNK+10WjGwVi9enW1Y2BUCAoKwjfffFNjTMeOHbFnz54aY6KionDo0CFzs0hERGQ+DhVOREREpEyjqcEgIiJqivgUCREREanPIG4vluzfALGAQUREZE3sg0FERESkDGswiIiIrEgDC/tgqJYTdbGAQUREZE0cyZOIiIhIGdZgEBERWREfUyUiIiL18SkSIiIiImVYg0FERGRFGiGgsaCjpiX71iUWMIiIiKzJ8Ptiyf4NEJtIiIiISHWswSAiIrIiNpEQERGR+proUyQsYNQhvedN2DqXVrv92mFvaRpFQfLj2O11lwc9nCcN8dYVS2NuvB8oz0+YfOBau3vypTHBntekMZe+CJbG3AyWf/p8DsobMS96a6UxDw5OlcZkvN5eHjNGnh+7TEdpjMf9l6UxSpR+Lb9XAQDO8pAyJ/n70Wq7/B7KiZCfv5JjOWXKvwaD/3NFGpMxxEsa43lIfl6+T2VIY9LO+0pjVn+5VBrT69P/J43x8Lohjbmx10ca45grfy/sh+ZIY25lekpjisLk32WArsat5cX12IOAI3kSERERKcMaDCIiIiviSJ5ERESkPjaREBERESnDGgwiIiIr0hhuL5bs3xCxgEFERGRNbCIhIiIiUoY1GERERNbEgbaIiIhIbU11qHA2kRAREZHqWINBRERkTU20kycLGERERNYkAFjyqGnDLF+wgEFERGRN7INBREREpBBrMIiIiKxJwMI+GKrlRFUsYBAREVkTO3mSuUq/1cPg4Fh9QLA6x7kZJO8d1GK7mzTmmoL89Hj1qDTm9Nv3SmOudpUfK+28rzTGe+hlaUxJpqc05mJPeWuh42V5zM+bO0pjynrLvwy8veTnBa8b0pBLCs7dxrlUnh8F1xkAbh72VhQnc7GnRhoTsEd+3ytJp8xZ/n5kDPGSxrg+nCONuZyml8ZcV3DfI1crDfnz0RhpjN09+dKYawreU8dCaQicLsvfL6fZTtKYwkj5z1bZwwXSmCLvmq+hoaiBTvDRiLCAQUREZE0GAPKycM37N0CNppPn3Llz0aNHDzg5OaFFixaVtv/vf//DU089hcDAQOh0OoSFheG9994ziUlPT4dGo6m0bNu2zSRu9+7d6Nq1KxwdHdG6dWusWLGiLk+NiIiasYqnSCxZzDF//nw88MADcHV1hY+PD4YOHYq0tDSTGCEE4uPjERAQAJ1Oh169euHYsWNmHafRFDBKSkowfPhwvPDCC1VuT0lJgbe3Nz777DMcO3YM06dPx9SpU7Fs2bJKsTt37kRWVpZx6dOnj3Hb2bNn8dhjj+GRRx7B4cOHMW3aNLz44ov46quv6uzciIiI6svu3bsxYcIEHDhwAImJiSgrK0P//v1RUPBH09KCBQuwePFiLFu2DMnJyfDz80O/fv1w44a8abZCo2kimTVrFgBg9erVVW7/xz/+YfK6devW2L9/PzZu3IjY2FiTbV5eXvDz86synRUrViAoKAhLliwBAISFheHgwYNYuHAhnnzySctOgoiI6G713Mnz7lr7VatWwcfHBykpKejZsyeEEFiyZAmmT5+OYcOGAQDWrFkDX19ffP7553j++ecVHafR1GDURl5eHjw9K3dyGzx4MHx8fPDQQw/h3//+t8m2/fv3o3///ibroqOjcfDgQZSWyjvDERERmaWigGHJYoG8vDwAMP5enj17FtnZ2Sa/hVqtFlFRUdi3b5/idBtNDYa59u/fjy+//BLffvutcZ2LiwsWL16Mhx56CDY2Nti8eTNGjBiBNWvW4G9/+xsAIDs7G76+pr24fX19UVZWhtzcXPj7+1c6VnFxMYqLi42v8/PlPbOJiIjUdPdvj1arhVZb89MyQgjExcXh4YcfRnh4OIDbv4MAqvwtzMjIUJwfq9ZgxMfHV9np8s7l4MGDZqd77NgxDBkyBDNmzEC/fv2M6/V6PV5++WU8+OCDiIiIwOzZszF+/HgsWLDAZH+NxrQ7r/i9dHj3+grz58+Hu7u7cQkMDDQ7z0RE1EypVIMRGBho8ls0f/586aFjY2Pxyy+/4Isvvqi0rarfwup+B6ti1RqM2NhYjBw5ssaYkJAQs9I8fvw4+vTpg7Fjx+L111+Xxnfv3h0ff/yx8bWfn5+x9FYhJycHdnZ28PKq+ln4qVOnIi4uzvg6Pz+fhQwiIlJGpcdUz507Bze3P8Y8ktVeTJw4EZs3b8aePXvQqlUr4/qKPorZ2dkmtfY5OTmVajVqYtUChl6vh14vH3hGqWPHjqFPnz4YM2YM5s6dq2ifw4cPm1zAyMhIbNmyxSRmx44diIiIgL29fZVpKKmGIiIiqopak525ubmZFDCqI4TAxIkTsWnTJiQlJSE0NNRke2hoKPz8/JCYmIj7778fwO0nOXfv3o23335bcb4aTR+MzMxMXL16FZmZmSgvL8eRI0cAAG3btoWLiwuOHTuG3r17o3///oiLizPWQtja2sLb+/ZIdGvWrIG9vT3uv/9+2NjYYMuWLXj//fdNLti4ceOwbNkyxMXFYezYsdi/fz8SEhKqrD4iIiJqbCZMmIDPP/8c//nPf+Dq6mr8vXR3d4dOp4NGo8GkSZMwb948tGvXDu3atcO8efPg5OSEUaNGKT5OoylgzJgxA2vWrDG+rihV7dq1C7169cK//vUvXL58GevWrcO6deuMccHBwUhPTze+fvPNN5GRkQFbW1u0b98en3zyibGDJ3C75LZ161a8/PLL+OCDDxAQEID333+fj6gSEVHdqOfHVJcvXw4A6NWrl8n6VatWISYmBgDwyiuvoLCwEOPHj8e1a9fQrVs37NixA66uroqP02gKGKtXr652DAzgdofR+Pj4GtMYM2YMxowZIz1WVFQUDh06ZGYOiYiIasEgAI0FBQyDefsKBQUSjUaj6He1Jk16HAwiIiKyjkZTg0FERNQkcbp2IiIiUp+lo3E2zAIGm0iIiIhIdazBICIisiY2kZC5CgIBG8fqt/scNEjTuBikYoYkXBQMMf/z5o7SGLsQeTrBM8qkMb4JmdKYfd+HS2M8lQ+dX6NHX5BP8rNtbQ9pTFFYkTTmxl4feYa65klDnDLlH/EyZ1tpzKWCqgeZq3S8AvlwhGVO8i/DthtuSWNOj3BSJZ3sSBdpTH4H+f2q5OE9byUzHzwtnw5byftx+Yo8R44ndNKYkiD5uZcFySeCLHu4RBpzMVPJVZR/b3rriqUxRXqHmgNuydNQjUHAomYOM58iqS9sIiEiIiLVsQaDiIjImoTh9mLJ/g0QCxhERETWxD4YREREpDr2wSAiIiJShjUYRERE1sQmEiIiIlKdgIUFDNVyoio2kRAREZHqWINBRERkTWwiISIiItUZDFAyQmnN+zc8bCIhIiIi1bEGg4iIyJrYREJERESqa6IFDDaREBERkepYg0FERGRNTXSocBYwiIiIrEgIA4QFM6Jasm9dYgGjDjmfA2wdqt9+NcxWmkbAxhoS+N3FYcUKcuOoIEbuVlCZNMbzkPy80p71kMZc2OAljSnrUiiNKSrQyWO85R/Qb/7VQxrjmV4ujbnZRRqiyK3LztIYJwXp2N2TL40py3RVkJKy66hEXht5zu1uaaQx5/u4SGOKwuT3UK92p6UxP2/uKI1BsIIQ3S1pzLUr3tIYn+3y63Oxp/z9cvIukMYouRcfVHINESSNKVJwL15O00tjHC/X3EOgvFh+/VQjhGW1EOyDQURERM0FazCIiIisSVjYB6OB1mCwgEFERGRNBgOgsaB5sYH2wWATCREREamONRhERETWxCYSIiIiUpswGCAsaCJpqI+psomEiIiIVMcaDCIiImtiEwkRERGpziAATdMrYLCJhIiIiFTHGgwiIiJrEgKAJeNgNMwaDBYwiIiIrEgYBIQFTSSCBQwiIiKqRBhgWQ0GH1O1yNy5c9GjRw84OTmhRYsWVcZoNJpKy4oVK0xiUlNTERUVBZ1Oh5YtW2L27NmVSn+7d+9G165d4ejoiNatW1dKg4iIiGrWaGowSkpKMHz4cERGRiIhIaHauFWrVmHAgAHG1+7u7sa/8/Pz0a9fP/Tu3RvJyck4efIkYmJi4OzsjMmTJwMAzp49i8ceewxjx47FZ599hv/+978YP348vL298eSTT9bdCRIRUbPEJhIrmzVrFgBg9erVNca1aNECfn5+VW5bt24dioqKsHr1ami1WoSHh+PkyZNYvHgx4uLijDUeQUFBWLJkCQAgLCwMBw8exMKFC1nAICIi9TXRJpJGU8BQKjY2Fs8++yxCQ0PxzDPP4LnnnoONze2WoP379yMqKgpardYYHx0djalTpyI9PR2hoaHYv38/+vfvb5JmdHQ0EhISUFpaCnt7+0rHLC4uRnFxsfF1Xl4eAKC8pKjGvJYXa6TnU1ZaLo0x3CqRxpTLQxQxFMrzU15iK0+nSF7iLi+Wt+AZbtV8jW+nI7/OhiL5B1RJflR7v5TkubBMQToKPuK3iqUhhqLK931dUnK/Gork10jRdVRwD5XcVPKeydNRoqxAyfshP1ZZqfyeVnQNldwfhfLPvKJrWI/3ouzzXPF+1kftQBlKLRpnqwyl6mVGRU2qgDFnzhz07dsXOp0O33//PSZPnozc3Fy8/vrrAIDs7GyEhISY7OPr62vcFhoaiuzsbOO6O2PKysqQm5sLf3//SsedP3++sYblTsfXzVHpzCS21M9hlDpv7Qw0dA3s/WqIMq2dgbvUZ35OLVQnnd+UBNXjvbi+/g6lqitXrpg0tavJwcEBfn5+2Ju91eK0/Pz84ODgoEKu1GPVAkZ8fHyVP8x3Sk5ORkREhKL0KgoSANC5c2cAwOzZs03WazSmJfaK0umd65XE3Gnq1KmIi4szvr5+/TqCg4ORmZlZZzdmXcnPz0dgYCDOnTsHNzc3a2dHMea7fjHf9a+x5r2x5jsvLw9BQUHw9PSss2M4Ojri7NmzKCmxvIrZwcEBjo6OKuRKPVYtYMTGxmLkyJE1xtxd42CO7t27Iz8/H5cuXYKvry/8/PyQnZ1tEpOTkwPgj5qM6mLs7Ozg5eVV5XG0Wq1Js0sFd3f3RvWBupObm1ujzDvzXb+Y7/rXWPPeWPNd0cReVxwdHRtcwUAtVi1g6PV66PX6Okv/8OHDcHR0ND7WGhkZiWnTpqGkpMRYlbRjxw4EBAQYCzKRkZHYssW03nDHjh2IiIiosv8FERERVdZoxsHIzMzEkSNHkJmZifLychw5cgRHjhzBzZs3AQBbtmzBRx99hKNHj+LMmTP4+OOPMX36dDz33HPG2oVRo0ZBq9UiJiYGR48exaZNmzBv3jzjEyQAMG7cOGRkZCAuLg4nTpzAJ598goSEBEyZMsVq505ERNToiEZizJgxFfPZmiy7du0SQgjx3Xffic6dOwsXFxfh5OQkwsPDxZIlS0RpaalJOr/88ot45JFHhFarFX5+fiI+Pl4YDAaTmKSkJHH//fcLBwcHERISIpYvX25WXouKisTMmTNFUVGRRedsDY0178x3/WK+619jzTvz3XxphGigI3QQERFRo9VomkiIiIio8WABg4iIiFTHAgYRERGpjgUMIiIiUh0LGGZQMmV8ZmYmBg0aBGdnZ+j1erz44ouVRmmz9pTxSUlJVU5tr9FokJycbIyravvd+VByLmoKCQmplKfXXnvNJEat90At6enpeOaZZxAaGgqdToc2bdpg5syZlfLUEK93dT788EOEhobC0dERXbt2xY8//ljveagwf/58PPDAA3B1dYWPjw+GDh2KtLQ0k5iYmJhK17Z79+4mMcXFxZg4cSL0ej2cnZ0xePBgnD9fdwPfx8fHV8rTnRM1CiEQHx+PgIAA6HQ69OrVC8eOHbNqnitU9TnUaDSYMGECgIZzvffs2YNBgwYhICAAGo0GX3/9tcl2ta7xtWvXMHr0aLi7u8Pd3R2jR4/G9evXVT2XRsl6D7A0PjNmzBCLFy8WcXFxwt3dvdL2srIyER4eLnr37i0OHTokEhMTRUBAgIiNjTXG5OXlCV9fXzFy5EiRmpoqvvrqK+Hq6ioWLlxojPntt9+Ek5OTeOmll8Tx48fFRx99JOzt7cW///1vVc6juLhYZGVlmSzPPvusCAkJMXlkF4BYtWqVSdytW7fMOhe1BQcHi9mzZ5vk6caNG8btar0Havruu+9ETEyM2L59uzhz5oz4z3/+I3x8fMTkyZNN4hri9a7K+vXrhb29vfjoo4/E8ePHxUsvvSScnZ1FRkZGveajQnR0tFi1apU4evSoOHLkiHj88cdFUFCQuHnzpjFmzJgxYsCAASbX9sqVKybpjBs3TrRs2VIkJiaKQ4cOid69e4s//elPoqysrE7yPXPmTHHfffeZ5CknJ8e4/a233hKurq7iq6++EqmpqWLEiBHC399f5OfnWy3PFXJyckzynZiYaDJsQEO53lu3bhXTp08XX331lQAgNm3aZLJdrWs8YMAAER4eLvbt2yf27dsnwsPDxRNPPKHaeTRWLGDUwqpVq6osYGzdulXY2NiICxcuGNd98cUXQqvViry8PCGEEB9++KFwd3c3ebZ6/vz5IiAgwPjj/sorr4h77rnHJO3nn39edO/evQ7ORoiSkhLh4+MjZs+ebbK+qg/knZSci9qCg4PFu+++W+12td6DurZgwQIRGhpqsq4hXu+qPPjgg2LcuHEm6+655x7x2muv1VseapKTkyMAiN27dxvXjRkzRgwZMqTafa5fvy7s7e3F+vXrjesuXLggbGxsxLZt2+oknzNnzhR/+tOfqtxmMBiEn5+feOutt4zrioqKhLu7u1ixYoXV8lydl156SbRp08Z4HzbE633350uta3z8+HEBQBw4cMAYs3//fgFA/Prrr3VyLo0Fm0hUtH//foSHhyMgIMC4Ljo6GsXFxUhJSTHGVDVl/MWLF5Genm6MqWrK+IMHD6K0VP1peTdv3ozc3FzExMRU2hYbGwu9Xo8HHngAK1asgMHwxxTQSs6lLrz99tvw8vJC586dMXfuXJOmBrXeg7qWl5dX5SRKDfF636mkpAQpKSmV7s/+/ftj37599ZIHmby8PACodH2TkpLg4+OD9u3bY+zYscZ5iAAgJSUFpaWlJucVEBCA8PDwOj2vU6dOISAgAKGhoRg5ciR+++32HKhnz55Fdna2SX60Wi2ioqKM+bFWnu9WUlKCzz77DP/4xz9MJoRsiNf7Tmpd4/3798Pd3R3dunUzxnTv3h3u7u4N5jNhLU1qunZrq2qqdw8PDzg4OBgnUKurKeMtkZCQgOjoaAQGBpqsnzNnDvr27QudTofvv/8ekydPRm5urnF2WiXnoraXXnoJXbp0gYeHB37++WdMnToVZ8+exccff2w8rhrvQV06c+YMli5dikWLFpmsb4jX+265ubkoLy+v8v68e5JAaxBCIC4uDg8//DDCw8ON6wcOHIjhw4cjODgYZ8+exRtvvIE+ffogJSUFWq0W2dnZcHBwgIeHh0l6dXle3bp1w9q1a9G+fXtcunQJb775Jnr06IFjx44Zj1nVdc7IyAAAq+S5Kl9//TWuX79u8g9KQ7zed1PrGmdnZ8PHx6dS+j4+Pg3iM2FNzb6AofaU8VVN6S6EMHs6eHOnjAdqdy7nz5/H9u3b8eWXX1aKvXOa+86dOwMAZs+ebbK+Nvm0JN8vv/yycV2nTp3g4eGBv/zlL8ZajeqOXZv3QM18V7h48SIGDBiA4cOH49lnnzWJra/rrYaq8lHfeahKbGwsfvnlF+zdu9dk/YgRI4x/h4eHIyIiAsHBwfj2228xbNiwatOry/MaOHCg8e+OHTsiMjISbdq0wZo1a4wdImtznev7vUhISMDAgQNNag0b4vWujhrXWMl3TnPU7AsYak4Z7+fnh59++slk3bVr11BaWiqdDh6wbMr42p7LqlWr4OXlhcGDB9e4H3C72i8/Px+XLl2Cr6+vonNRwpL3oOKL+PTp0/Dy8lLtPaiLfF+8eBG9e/dGZGQkVq5cKU2/rq63JfR6PWxtbavMR33loToTJ07E5s2bsWfPHrRq1arGWH9/fwQHB+PUqVMAbt8TJSUluHbtmsl/qzk5OejRo0ed5ruCs7MzOnbsiFOnTmHo0KEAbv93fGeN5Z3XuSHkOSMjAzt37sTGjRtrjGuI17viiR1Lr7Gfnx8uXbpUKf3Lly9b/TNhdfXf7aPxk3XyvHjxonHd+vXrK3UwbNGihSguLjbGvPXWW5U6eYaFhZmkPW7cONU7eRoMBhEaGlrpaYbqLF26VDg6Oho7GSo5l7q2ZcsWAcD4BINa74Hazp8/L9q1aydGjhypuJd8Q7zeQtzu5PnCCy+YrAsLC7NaJ0+DwSAmTJggAgICxMmTJxXtk5ubK7RarVizZo0Q4o/OfBs2bDDGXLx4sV47TBYVFYmWLVuKWbNmGTsgvv3228btxcXFVXZAtGaeZ86cKfz8/CpNKnm3hnC9UU0nT0uvcUUnz59++skYc+DAAXbyFHyKxCwZGRni8OHDYtasWcLFxUUcPnxYHD582PiYZMUjkn379hWHDh0SO3fuFK1atTJ5RPL69evC19dXPPXUUyI1NVVs3LhRuLm5VfmY6ssvvyyOHz8uEhISVH1MtcLOnTsFAHH8+PFK2zZv3ixWrlwpUlNTxenTp8VHH30k3NzcxIsvvmjWuahp3759YvHixeLw4cPit99+Exs2bBABAQFi8ODBxhi13gM1XbhwQbRt21b06dNHnD9/3uTRvQoN8XpXp+Ix1YSEBHH8+HExadIk4ezsLNLT0+s1HxVeeOEF4e7uLpKSkqp8xPfGjRti8uTJYt++feLs2bNi165dIjIyUrRs2bLS44itWrUSO3fuFIcOHRJ9+vSp00c+J0+eLJKSksRvv/0mDhw4IJ544gnh6upqvI5vvfWWcHd3Fxs3bhSpqaniqaeeqvIRyvrM853Ky8tFUFCQePXVV03WN6TrfePGDeP3NADj90fFPyRqXeMBAwaITp06if3794v9+/eLjh078jFVwQKGWWRTxgtxuxDy+OOPC51OJzw9PUVsbGyl6X7rY8p4JZ566inRo0ePKrd99913onPnzsLFxUU4OTmJ8PBwsWTJkkr/qSg5F7WkpKSIbt26CXd3d+Ho6Cg6dOggZs6cKQoKCkzi1HoP1LJq1aoq75s7KxAb4vWuyQcffCCCg4OFg4OD6NKli8kjofWtumu7atUqIYQQt27dEv379xfe3t7C3t5eBAUFiTFjxojMzEyTdAoLC0VsbKzw9PQUOp1OPPHEE5Vi1FQx5oK9vb0ICAgQw4YNE8eOHTNuNxgMxhoCrVYrevbsKVJTU62a5ztt375dABBpaWkm6xvS9d61a1eV98aYMWOEEOpd4ytXroinn35auLq6CldXV/H000+La9euqXoujRGnayciIiLVcRwMIiIiUh0LGERERKQ6FjCIiIhIdSxgEBERkepYwCAiIiLVsYBBREREqmMBg4iIiFTHAgYRAQBWr16NFi1amLVPUlISNBoNrl+/rnp+6jJtIqp7LGAQWWDfvn2wtbXFgAED6vW4Go0GX3/9db0es7716NEDWVlZcHd3tyid+Ph46aR0RKQ+FjCILPDJJ59g4sSJ2Lt3LzIzMy1Or7S0VIVcNX6lpaVwcHCAn5+fxVNeb968GUOGDFEpZ0SkFAsYRLVUUFCAL7/8Ei+88AKeeOIJrF69ulLMli1b0LVrVzg6OqJ169aYNWsWysrKjNs1Gg1WrFiBIUOGwNnZGW+++SYAYPny5WjTpg0cHBzQoUMHfPrpp8Z9KqaA//Of/wyNRmMyJbzseNevX8dzzz0HX19fODo6Ijw8HN98841Jnrdv346wsDC4uLhgwIAByMrKkl6LlJQUREREwMnJCT169EBaWprJ9prOp7rrcHcTSa9evaDRaCot6enp1ebr3LlzOHr0KAYOHIj09HRoNBocOXLE5HpoNBokJSUB+KNZZvv27bj//vuh0+nQp08f5OTk4LvvvkNYWBjc3Nzw1FNP4datW9LrQtSsWXsyFKLGKiEhQURERAghbk8bHxISYjLx2LZt24Sbm5tYvXq1OHPmjNixY4cICQkR8fHxxhgAwsfHRyQkJIgzZ86I9PR0sXHjRmFvby8++OADkZaWJhYtWiRsbW3FDz/8IIQQIicnxziZV1ZWlsjJyVF0vPLyctG9e3dx3333iR07dogzZ86ILVu2iK1btwohbk/KZm9vLx599FGRnJwsUlJSRFhYmBg1alS116BiMqlu3bqJpKQkcezYMfHII4+YTKInO5/qrkNF2hWTRl25csVkttRhw4aJDh06GGdNrcqyZctE3759hRBCnD17VgAQhw8fNm6/du2ayYSFFcfs3r272Lt3rzh06JBo27atiIqKEv379xeHDh0Se/bsEV5eXuKtt96q9rhExNlUiWqtR48eYsmSJUIIIUpLS4VerxeJiYnG7Y888oiYN2+eyT6ffvqp8Pf3N74GICZNmlQp3bFjx5qsGz58uHjsscdM9tu0aZNJjOx427dvFzY2NpVmv6xQMevr6dOnjes++OAD4evrW2W8EH/8IO/cudO47ttvvxUARGFhoVnnc/d1uLuAcafFixeLFi1aVHsuFfr16yfef/99IYR5BYw7z2f+/PkCgDhz5oxx3fPPPy+io6NrPDZRc8cmEqJaSEtLw88//2zsPGhnZ4cRI0bgk08+McakpKRg9uzZcHFxMS5jx45FVlaWSfV6RESESdonTpzAQw89ZLLuoYcewokTJ2rMk+x4R44cQatWrdC+fftq03ByckKbNm2Mr/39/ZGTkyO9Hp06dTLZB4BxP6Xnc/d1qM53332H1157DRs2bKjxXPLz87F7924MHjxYUbp3uvN8fH194eTkhNatW5usU3JdiJozO2tngKgxSkhIQFlZGVq2bGlcJ4SAvb09rl27Bg8PDxgMBsyaNQvDhg2rtL+jo6Pxb2dn50rb7+7YKISQdnaUHU+n00nPy97evlI+hBBm7VeRT4PBUGldharOp6rrcLfjx49j5MiReOutt9C/f/8aYyv6TAQHB1cbU15eXuX6u8+nquty5/kRUWUsYBCZqaysDGvXrsWiRYsq/cg9+eSTWLduHWJjY9GlSxekpaWhbdu2ZqUfFhaGvXv34u9//7tx3b59+xAWFmZ8bW9vX+nHUXa8Tp064fz58zh58mSN//mrTcn5KHHlyhUMGjQIw4YNw8svvyyN/89//lNl7UV2drbx799++82sPBCRcixgEJnpm2++wbVr1/DMM89UGqPhL3/5CxISEhAbG4sZM2bgiSeeQGBgIIYPHw4bGxv88ssvSE1NNT4tUpX/9//+H/7617+iS5cu6Nu3L7Zs2YKNGzdi586dxpiQkBB8//33eOihh6DVauHh4SE9XlRUFHr27Iknn3wSixcvRtu2bfHrr79Co9HU6TgeSs5HiWHDhkGn0yE+Pt6kkODt7Q1bW1uT2LKyMnz33XdVHmPOnDnw9/eHEAKTJ08GABw9ehRdu3atxdkRUbWs2gOEqBF64oknTDoo3iklJUUAECkpKUKI20929OjRQ+h0OuHm5iYefPBBsXLlSmM8quisKYQQH374oWjdurWwt7cX7du3F2vXrjXZvnnzZtG2bVthZ2cngoODjetlx7ty5Yr4v//7P+Hl5SUcHR1FeHi4+Oabb4QQtzt5uru7mxxn06ZNoqaviao6Yh4+fFgAEGfPnlV8PlVdh7vTBlDlcudxKuzcuVO0atXKZF1FJ89XX31V+Pj4CHd3d7FgwQLxxBNPCE9PT5GWllbl+VR1XWbOnCn+9Kc/VXtdiEgIjRAKGliJiBqRF198EWVlZfjwww+N69LT0xEaGorDhw+jc+fO1sscUTPBJhIianLCw8MRGRlp7WwQNWssYBBRk/Pcc89ZOwtEzR6bSIiIiEh1HGiLiIiIVMcCBhEREamOBQwiIiJSHQsYREREpDoWMIiIiEh1LGAQERGR6ljAICIiItWxgEFERESqYwGDiIiIVPf/AX5iXynBXaP3AAAAAElFTkSuQmCC\n", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Create a new set of axes for plotting\n", "plt.figure()\n", "ax = plt.gca()\n", "# Plot a map of It measurements (w/o offset for now)\n", "I0 = np.reshape(np.asarray(data.Ipre_KB_net_counts), shape)\n", "im = ax.imshow(I0, extent=extent, origin=\"lower\")\n", "plt.colorbar(im, ax=ax)\n", "ax.set_xlabel(\"Aerotech horiz /µm\")\n", "ax.set_ylabel(\"Aerotech vert /µm\")" ] } ], "metadata": { "kernelspec": { "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.9.13" } }, "nbformat": 4, "nbformat_minor": 5 }