{ "nbformat": 4, "nbformat_minor": 0, "metadata": { "kernelspec": { "display_name": "Python 3", "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": "3.6.9" }, "colab": { "name": "Exercise_07_2.ipynb", "provenance": [], "include_colab_link": true }, "accelerator": "GPU" }, "cells": [ { "cell_type": "markdown", "metadata": { "id": "view-in-github", "colab_type": "text" }, "source": [ "\"Open" ] }, { "cell_type": "markdown", "metadata": { "id": "zhevd7m4MEoT" }, "source": [ "# Air-shower reconstruction using a fully-connected network\n", "## Cosmic-ray observatory\n", "In this example, we will train a neural network to reconstruct air-shower properties measured by a hypothetic cosmic-ray observatory located at a height of 1400 m. The observatory features a cartesian array of 14 x 14 particle detectors with a distance of 750 m. \n", "Thus, the measured data contain the simulated detector responses from secondary particles of the cosmic-ray induced air shower that interact with the ground-based observatory. \n", "\n", "Each particle detector measures two quantities that are stored in the form of a cartesian image (2D array with 14 x 14 pixels)\n", "- arrival time `T`: arrival time of the first particles\n", "- signal `S`: integrated signal\n", "\n", "In this task, we are interested in reconstructing the cosmic-ray energy in EeV (exaelectronvolt = $10^{18}~\\mathrm{eV}$) using the measured particle footprint and a fully-connected network.\n", "\n", "\n", "# Preparation:\n", "**Enable a GPU for this task.** \n", "Therefore, click:\n", "*Edit* -> *Notebook settings* -> *select GPU* as *Hardware accelerator*\n", "\n", "# References\n", "The tutorial is inspired by the simulation and the study performed in https://doi.org/10.1016/j.astropartphys.2017.10.006. \n" ] }, { "cell_type": "code", "metadata": { "id": "dc1W4fDQMEoZ", "colab": { "base_uri": "https://localhost:8080/" }, "outputId": "b23e13d1-aab9-423a-8e56-0efd298285ea" }, "source": [ "import tensorflow as tf\n", "from tensorflow import keras\n", "import numpy as np\n", "import seaborn as sns\n", "from matplotlib import pyplot as plt\n", "\n", "layers = keras.layers\n", "\n", "print(\"tf\", tf.__version__)\n" ], "execution_count": null, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "keras version 2.6.0\n", "tf 2.6.0\n" ] } ] }, { "cell_type": "markdown", "metadata": { "id": "qlKbYg4eMEod" }, "source": [ "---\n", "# Data\n", "### Download data\n", "As a first step, we have to download the simulated air shower data." ] }, { "cell_type": "code", "metadata": { "id": "afCf7h-HMEoe", "colab": { "base_uri": "https://localhost:8080/" }, "outputId": "3204f0a5-c1f8-4b99-b85b-eeac6a37e960" }, "source": [ "import os\n", "import gdown\n", "url = \"https://drive.google.com/u/0/uc?export=download&confirm=HgGH&id=19gOSVQ0mhdjMkm5i2u5NsGrWNBdlhR4F\"\n", "output = 'airshowers_mnist.npz'\n", "\n", "if os.path.exists(output) == False:\n", " gdown.download(url, output, quiet=False)\n", "\n", "f = np.load(output)" ], "execution_count": null, "outputs": [ { "output_type": "stream", "name": "stderr", "text": [ "Downloading...\n", "From: https://drive.google.com/u/0/uc?export=download&confirm=HgGH&id=19gOSVQ0mhdjMkm5i2u5NsGrWNBdlhR4F\n", "To: /content/airshowers_mnist.npz\n", "100%|██████████| 64.7M/64.7M [00:00<00:00, 175MB/s]\n" ] } ] }, { "cell_type": "markdown", "metadata": { "id": "lpTcoB3xMEof" }, "source": [ "### Input 1: Arrival times\n", "Our first input is the arrival times of the first shower particles, measured at the various stations. We normalize the arrival times with respect to the mean and the standard deviation of the arrival time distribution. \n", "Remember that each input has the shape of 14 x 14, as each station measures a specific arrival time.\n" ] }, { "cell_type": "code", "metadata": { "id": "Im1FDnqBMEog", "colab": { "base_uri": "https://localhost:8080/" }, "outputId": "cc23cae1-2fa4-4db9-df24-693c76977ca1" }, "source": [ "# time map\n", "T = f['time']\n", "T -= np.nanmean(T)\n", "T /= np.nanstd(T)\n", "T[np.isnan(T)] = 0\n", "\n", "print(T.shape)" ], "execution_count": null, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "(100000, 14, 14)\n" ] } ] }, { "cell_type": "markdown", "metadata": { "id": "3p35M05lMEoh" }, "source": [ "#### Plot four example maps\n", "To visualize a map of arrival times, we can plot a random example event. Here, the dark blue indicates an early trigger and a bright yellow a late trigger. \n", "With this information, one can directly get an impression of the shower axis (arrival direction) of the arriving particle shower." ] }, { "cell_type": "code", "metadata": { "id": "FRw8E9H7MEoi", "colab": { "base_uri": "https://localhost:8080/", "height": 513 }, "outputId": "88f39396-57db-4cdf-8ace-2a16efb34b6b" }, "source": [ "nsamples=len(T)\n", "random_samples = np.random.choice(nsamples, 4)\n", "\n", "def rectangular_array(n=14):\n", " \"\"\" Return x,y coordinates for rectangular array with n^2 stations. \"\"\"\n", " n0 = (n - 1) / 2\n", " return (np.mgrid[0:n, 0:n].astype(float) - n0)\n", "\n", "plt.figure(figsize=(9,7))\n", "\n", "for i,j in enumerate(random_samples):\n", " plt.subplot(2,2,i+1)\n", " footprint=T[j,...]\n", " xd, yd = rectangular_array()\n", " mask = footprint != 0\n", " mask[5, 5] = True\n", " marker_size = 50 * footprint[mask]\n", " plot = plt.scatter(xd, yd, c='grey', s=10, alpha=0.3, label=\"silent\")\n", " circles = plt.scatter(xd[mask], yd[mask], c=footprint[mask], \n", " cmap=\"viridis\", alpha=1, label=\"loud\",\n", " edgecolors=\"k\", linewidths=0.3)\n", " cbar = plt.colorbar(circles)\n", " cbar.set_label('normalized time [a.u.]')\n", " plt.xlabel(\"x / km\")\n", " plt.ylabel(\"y / km\")\n", " plt.grid(True)\n", "\n", "plt.tight_layout()\n", "plt.show()" ], "execution_count": null, "outputs": [ { "output_type": "display_data", "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" } } ] }, { "cell_type": "markdown", "metadata": { "id": "kA707hclMEoj" }, "source": [ "### Input 2: Measured signals\n", "In the following, we inspect the measured signals of the detectors. Again, we have 14 x 14 measurements (a few are zero as no signal was measured) that form a single event. We process the signal using a logarithmic re-scaling.\n" ] }, { "cell_type": "code", "metadata": { "id": "41_XzMnyMEok", "colab": { "base_uri": "https://localhost:8080/" }, "outputId": "db31500b-1fcb-4c4a-adf3-c83c7e37352a" }, "source": [ "# signal map\n", "S = f['signal']\n", "S = np.log10(1 + S)\n", "S -= np.nanmin(S)\n", "S /= np.nanmax(S)\n", "S[np.isnan(S)] = 0\n", "\n", "print(S.shape)" ], "execution_count": null, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "(100000, 14, 14)\n" ] } ] }, { "cell_type": "markdown", "metadata": { "id": "8MH4JaVhM0AA" }, "source": [ "#### Plot four example events" ] }, { "cell_type": "code", "metadata": { "id": "AAS9bA1kMEom", "colab": { "base_uri": "https://localhost:8080/", "height": 513 }, "outputId": "fa400f4b-dd09-4e05-bf9a-8617ee7e4330" }, "source": [ "plt.figure(figsize=(9,7))\n", "\n", "for i,j in enumerate(random_samples):\n", " plt.subplot(2,2,i+1)\n", " footprint=S[j,...]\n", " xd, yd = rectangular_array()\n", " mask = footprint != 0\n", " mask[5, 5] = True\n", " marker_size = 130 * footprint[mask] + 20\n", " plot = plt.scatter(xd, yd, c='grey', s=10, alpha=0.4, label=\"silent\")\n", " circles = plt.scatter(xd[mask], yd[mask], c=footprint[mask], s=marker_size,\n", " cmap=\"autumn_r\", alpha=1, label=\"loud\",\n", " edgecolors=\"k\", linewidths=0.4)\n", " cbar = plt.colorbar(circles)\n", " cbar.set_label('normalized signals [a.u.]')\n", " plt.xlabel(\"x / km\")\n", " plt.ylabel(\"y / km\")\n", " plt.grid(True)\n", "\n", "plt.tight_layout()\n", "plt.show()" ], "execution_count": null, "outputs": [ { "output_type": "display_data", "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" } } ] }, { "cell_type": "markdown", "metadata": { "id": "5xk9pp_2MEon" }, "source": [ "### Labels\n", "Now, we can prepare the targets of our neural network training." ] }, { "cell_type": "code", "metadata": { "id": "8BbUO5g0MEon" }, "source": [ "axis = f['showeraxis']" ], "execution_count": null, "outputs": [] }, { "cell_type": "code", "metadata": { "id": "SELMHC0xMEoo" }, "source": [ "core = f['showercore'][:, 0:2]\n", "core /= 750" ], "execution_count": null, "outputs": [] }, { "cell_type": "code", "metadata": { "id": "t3TMaOzfMEoo", "colab": { "base_uri": "https://localhost:8080/" }, "outputId": "9febff50-e7fc-46f6-ee9a-2dde6832baf6" }, "source": [ "# energy - log10(E/eV) in range 3 - 100 EeV\n", "energy = f['energy']\n", "print(energy)" ], "execution_count": null, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "[ 4.00461776 5.99159294 7.49367551 ... 10.81657107 5.07542798\n", " 43.32910954]\n" ] } ] }, { "cell_type": "markdown", "metadata": { "id": "7AXjf80PRHnx" }, "source": [ "---\n", "#### Training and test data\n", "We further split the data into one large training set and a smaller test set. This test set is used for the final evaluation of the model and is only used once to ensure an unbiased performance measure.\n", "\n", "\n", "Before, we combine our input `X` by concatenating the maps of arrival times with the maps of signals." ] }, { "cell_type": "code", "metadata": { "id": "LRWu-MIBMEon" }, "source": [ "X = np.stack([T, S], axis=-1)" ], "execution_count": null, "outputs": [] }, { "cell_type": "code", "metadata": { "id": "djv28NqyMEop" }, "source": [ "X_train, X_test = np.split(X, [-20000])\n", "energy_train, energy_test = np.split(energy, [-20000])" ], "execution_count": null, "outputs": [] }, { "cell_type": "markdown", "metadata": { "id": "hPuYYDR1MEoq" }, "source": [ "---\n", "## Define Model\n", "Now, we will set up a neural network to reconstruct the energy of the particle shower. In this **define step** we will set the architecture of the model.\n", "\n", "\n", "> **Modification section** \n", "> Feel free to modify the model.\n", "> For example:\n", "> * Change the number of nodes (but remember that the number of weights scales with n x n. Also, the final layer has to have only one node as we are reconstructing the energy, which is a scalar.).\n", "> * Change the activation function, e.g., use `relu, tanh, sigmoid, softplus, elu, ` (take care to not use an activation function for the final layer!).\n", "> * Add new layers.\n", "> * Increase the Dropout fraction or place Dropout between several layers if you observe overtraining (validation loss increases).\n", "\n", "\n" ] }, { "cell_type": "code", "metadata": { "id": "osFl4FlNMEor" }, "source": [ "model = keras.models.Sequential(name=\"energy_regression_NN\")\n", "\n", "model.add(layers.Flatten(input_shape=X_train.shape[1:])) # this layer re-arranges the 2D image to a vector, leave it as it is\n", "model.add(layers.Dense(20, activation=\"relu\"))\n", "model.add(layers.Dropout(0.3))\n", "model.add(layers.Dense(1))" ], "execution_count": null, "outputs": [] }, { "cell_type": "markdown", "metadata": { "id": "kYCXaKAlTnY4" }, "source": [ "We can have a deeper look at our designed model and inspect the number of adaptive parameters by printing the model `summary`." ] }, { "cell_type": "code", "metadata": { "id": "gI2q65DlTvow", "colab": { "base_uri": "https://localhost:8080/" }, "outputId": "e32cff49-a674-443c-ca99-864bbf2c9f93" }, "source": [ "print(model.summary())" ], "execution_count": null, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Model: \"energy_regression_NN\"\n", "_________________________________________________________________\n", "Layer (type) Output Shape Param # \n", "=================================================================\n", "flatten (Flatten) (None, 392) 0 \n", "_________________________________________________________________\n", "dense (Dense) (None, 20) 7860 \n", "_________________________________________________________________\n", "dropout (Dropout) (None, 20) 0 \n", "_________________________________________________________________\n", "dense_1 (Dense) (None, 1) 21 \n", "=================================================================\n", "Total params: 7,881\n", "Trainable params: 7,881\n", "Non-trainable params: 0\n", "_________________________________________________________________\n", "None\n" ] } ] }, { "cell_type": "markdown", "metadata": { "id": "LvP_7f3kT6qC" }, "source": [ "### Compile\n", "We now compile the model to prepare it for the training. During the **compile** step, we set a loss/objective function (`mean_squared_error`, as energy reconstruction is a regression task) and set an optimizer. In this case, we use the Adam optimizer with a learning rate of 0.001.\n", "To monitor the resolution and the bias of the model, we add them as a metric." ] }, { "cell_type": "code", "metadata": { "id": "neGTmqafXVV2" }, "source": [ "def resolution(y_true, y_pred):\n", " \"\"\" Metric to control for standart deviation \"\"\"\n", " mean, var = tf.nn.moments((y_true - y_pred), axes=[0])\n", " return tf.sqrt(var)\n", "\n", "\n", "def bias(y_true, y_pred):\n", " \"\"\" Metric to control for standart deviation \"\"\"\n", " mean, var = tf.nn.moments((y_true - y_pred), axes=[0])\n", " return mean" ], "execution_count": null, "outputs": [] }, { "cell_type": "code", "metadata": { "id": "bgigKtfOMEor" }, "source": [ "model.compile(\n", " loss='mean_squared_error',\n", " metrics=[bias, resolution],\n", " optimizer=keras.optimizers.Adam(learning_rate=1e-3))" ], "execution_count": null, "outputs": [] }, { "cell_type": "markdown", "metadata": { "id": "1gO22y3jUfos" }, "source": [ "---\n", "### Training\n", "We can now run the training for 20 `epochs` (20-fold iteration over the dataset) using our training data `X_train` and our energy labels `energy_train`.\n", "For each iteration (calculating the gradients, updating the model parameters), we use 128 samples (`batch_size`).\n", "\n", "We furthermore can set the fraction of validation data (initially set to `0.1`) that is used to monitor overtraining.\n", "\n", "> **Modification section** \n", "> Feel free to modify the training procedure, for example:\n", ">* Change the number of `epochs`.\n", ">* Modify the batch size via `batch_size`.\n" ] }, { "cell_type": "code", "metadata": { "id": "uj1ecZz7MEos", "colab": { "base_uri": "https://localhost:8080/" }, "outputId": "716bdcda-1d2e-45b0-fa8f-b3c7bfc3b4c8" }, "source": [ "fit = model.fit(\n", " X_train,\n", " energy_train,\n", " batch_size=128,\n", " epochs=20,\n", " verbose=2,\n", " validation_split=0.1,\n", ")" ], "execution_count": null, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Epoch 1/20\n", "563/563 - 5s - loss: 746.4584 - bias: 13.0071 - resolution: 22.1177 - val_loss: 352.7163 - val_bias: 1.5808 - val_resolution: 18.5667\n", "Epoch 2/20\n", "563/563 - 1s - loss: 376.1041 - bias: 0.1602 - resolution: 19.2135 - val_loss: 256.1392 - val_bias: -7.3458e-01 - val_resolution: 15.8561\n", "Epoch 3/20\n", "563/563 - 1s - loss: 267.0853 - bias: -4.1491e-01 - resolution: 16.1808 - val_loss: 148.9649 - val_bias: -2.4613e-01 - val_resolution: 12.0982\n", "Epoch 4/20\n", "563/563 - 1s - loss: 205.4026 - bias: 0.1646 - resolution: 14.2148 - val_loss: 115.8402 - val_bias: 0.4933 - val_resolution: 10.6494\n", "Epoch 5/20\n", "563/563 - 1s - loss: 188.3320 - bias: 0.5953 - resolution: 13.5976 - val_loss: 109.1404 - val_bias: 0.5717 - val_resolution: 10.3344\n", "Epoch 6/20\n", "563/563 - 1s - loss: 182.5860 - bias: 0.7448 - resolution: 13.3817 - val_loss: 104.5062 - val_bias: 0.9623 - val_resolution: 10.0730\n", "Epoch 7/20\n", "563/563 - 1s - loss: 177.0771 - bias: 0.8350 - resolution: 13.1740 - val_loss: 99.0709 - val_bias: 0.7959 - val_resolution: 9.8255\n", "Epoch 8/20\n", "563/563 - 1s - loss: 170.3206 - bias: 0.8160 - resolution: 12.9244 - val_loss: 95.7111 - val_bias: 0.6361 - val_resolution: 9.6629\n", "Epoch 9/20\n", "563/563 - 1s - loss: 166.4544 - bias: 0.8746 - resolution: 12.7601 - val_loss: 95.3234 - val_bias: 1.1256 - val_resolution: 9.6004\n", "Epoch 10/20\n", "563/563 - 1s - loss: 161.9661 - bias: 0.8691 - resolution: 12.5825 - val_loss: 94.6107 - val_bias: 1.2295 - val_resolution: 9.5483\n", "Epoch 11/20\n", "563/563 - 1s - loss: 159.2669 - bias: 0.9456 - resolution: 12.4837 - val_loss: 89.1810 - val_bias: 0.7448 - val_resolution: 9.3194\n", "Epoch 12/20\n", "563/563 - 1s - loss: 155.5247 - bias: 0.9386 - resolution: 12.3226 - val_loss: 87.3027 - val_bias: 1.0977 - val_resolution: 9.1861\n", "Epoch 13/20\n", "563/563 - 1s - loss: 152.5283 - bias: 0.9852 - resolution: 12.2105 - val_loss: 86.2218 - val_bias: 0.8261 - val_resolution: 9.1579\n", "Epoch 14/20\n", "563/563 - 1s - loss: 148.5482 - bias: 1.0331 - resolution: 12.0367 - val_loss: 82.5810 - val_bias: 0.9196 - val_resolution: 8.9542\n", "Epoch 15/20\n", "563/563 - 1s - loss: 147.0589 - bias: 1.0468 - resolution: 11.9671 - val_loss: 80.9485 - val_bias: 1.1583 - val_resolution: 8.8320\n", "Epoch 16/20\n", "563/563 - 1s - loss: 143.6925 - bias: 1.0991 - resolution: 11.8263 - val_loss: 78.0238 - val_bias: 1.1480 - val_resolution: 8.6744\n", "Epoch 17/20\n", "563/563 - 1s - loss: 141.2242 - bias: 1.0917 - resolution: 11.7169 - val_loss: 76.3159 - val_bias: 1.2015 - val_resolution: 8.5715\n", "Epoch 18/20\n", "563/563 - 1s - loss: 138.5603 - bias: 1.0706 - resolution: 11.6087 - val_loss: 74.1092 - val_bias: 0.9863 - val_resolution: 8.4705\n", "Epoch 19/20\n", "563/563 - 1s - loss: 135.9928 - bias: 1.0665 - resolution: 11.5067 - val_loss: 72.4355 - val_bias: 1.2982 - val_resolution: 8.3326\n", "Epoch 20/20\n", "563/563 - 1s - loss: 134.3591 - bias: 1.0527 - resolution: 11.4314 - val_loss: 70.6646 - val_bias: 0.9443 - val_resolution: 8.2714\n" ] } ] }, { "cell_type": "markdown", "metadata": { "id": "iknMUMavMEos" }, "source": [ "### Plot training curves" ] }, { "cell_type": "code", "metadata": { "id": "iqt6hivFMEot", "colab": { "base_uri": "https://localhost:8080/", "height": 334 }, "outputId": "d7796c0e-9ad2-42c1-a0d3-b3f4ccb84e29" }, "source": [ "fig, ax = plt.subplots(1, figsize=(8,5))\n", "n = np.arange(len(fit.history['loss']))\n", "\n", "ax.plot(n, fit.history['loss'], ls='--', c='k', label='loss')\n", "ax.plot(n, fit.history['val_loss'], label='val_loss', c='k')\n", "\n", "ax.set_xlabel('Epoch')\n", "ax.set_ylabel('Loss')\n", "ax.legend()\n", "ax.semilogy()\n", "ax.grid()\n", "plt.show()" ], "execution_count": null, "outputs": [ { "output_type": "display_data", "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" } } ] }, { "cell_type": "markdown", "metadata": { "id": "-3j0ScknMEou" }, "source": [ "---\n", "### Performance of the DNN\n", "After training the model, we can use the test set `X_test` to evaluate the performance of the DNN. \n", "\n", "Particularly interesting are the resolution and the bias of the method. A bias close to 0 is desirable. A resolution below 3 EeV can be regarded as good." ] }, { "cell_type": "code", "metadata": { "id": "aObX1rK3MEov", "colab": { "base_uri": "https://localhost:8080/" }, "outputId": "003b3518-e2cf-458a-8b2d-9af3b3757fde" }, "source": [ "energy_pred = model.predict(X_test, batch_size=128, verbose=1)[:,0]\n" ], "execution_count": null, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "157/157 [==============================] - 0s 1ms/step\n" ] } ] }, { "cell_type": "code", "metadata": { "id": "DZoXjUnDg6pB", "colab": { "base_uri": "https://localhost:8080/", "height": 297 }, "outputId": "68595c94-68ac-4723-8de0-beaed8e5e0c4" }, "source": [ "diff = energy_pred - energy_test\n", "resolution = np.std(diff)\n", "plt.figure()\n", "plt.hist(diff, bins=100)\n", "plt.xlabel('$E_\\mathrm{rec} - E_\\mathrm{true}$')\n", "plt.ylabel('# Events')\n", "plt.text(0.95, 0.95, '$\\sigma = %.3f$ EeV' % resolution, ha='right', va='top', transform=plt.gca().transAxes)\n", "plt.text(0.95, 0.85, '$\\mu = %.1f$ EeV' % diff.mean(), ha='right', va='top', transform=plt.gca().transAxes)\n", "plt.grid()\n", "plt.xlim(-10, 10)\n", "plt.tight_layout()" ], "execution_count": null, "outputs": [ { "output_type": "display_data", "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" } } ] }, { "cell_type": "markdown", "metadata": { "id": "xxTIoNH4O9ng" }, "source": [ "After estimating the bias and the resolution, we can now inspect the reconstruction via a scatter plot. \n", "\n", "Furthermore, we can study the energy dependence of the resolution. With increasing energy, the performance increases due to the lower sampling fluctuation of the ground-based particle detectors and the larger footprints." ] }, { "cell_type": "code", "metadata": { "id": "RSVhxnNFZ2Ro", "colab": { "base_uri": "https://localhost:8080/", "height": 559 }, "outputId": "0d44edf2-e31b-438d-9833-f339bb5b917f" }, "source": [ "x = [3, 10, 30, 100]\n", "labels = [\"3\", \"10\", \"30\", \"100\"]\n", "\n", "diff = energy_pred - energy_test\n", "\n", "# Embedding plot\n", "fig, axes = plt.subplots(1, 2, figsize=(20, 9))\n", "axes[0].scatter(energy_test, energy_pred, s=3, alpha=0.60)\n", "axes[0].set_xlabel(r\"$E_{true}\\;/\\;\\mathrm{EeV}$\")\n", "axes[0].set_ylabel(r\"$E_{DNN}\\;/\\;\\mathrm{EeV}$\")\n", "\n", "stat_box = r\"$\\mu = $ %.3f\" % np.mean(diff) + \" / EeV\" + \"\\n\" + \"$\\sigma = $ %.3f\" % np.std(diff) + \" / EeV\"\n", "axes[0].text(0.95, 0.2, stat_box, verticalalignment=\"top\", horizontalalignment=\"right\",\n", " transform=axes[0].transAxes, backgroundcolor=\"w\")\n", "axes[0].plot([np.min(energy_test), np.max(energy_test)],\n", " [np.min(energy_test), np.max(energy_test)], color=\"red\")\n", "\n", "sns.regplot(x=energy_test, y=diff / energy_test, x_estimator=np.std, x_bins=12,\n", " fit_reg=False, color=\"royalblue\", ax=axes[1])\n", "axes[1].tick_params(axis=\"both\", which=\"major\")\n", "axes[1].set(xscale=\"log\")\n", "plt.xticks(x, labels)\n", "\n", "axes[1].set_xlabel(r\"$E_{true}\\;/\\;\\mathrm{EeV}$\")\n", "axes[1].set_ylabel(r\"$\\sigma_{E}/E$\")\n", "axes[1].set_ylim(0, 0.2)\n", "plt.show()" ], "execution_count": null, "outputs": [ { "output_type": "display_data", "data": { "image/png": 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\n", 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