2023_07_13_obs_workshop.ipynb

{
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   "cell_type": "markdown",
   "id": "41639cfb",
   "metadata": {
    "id": "41639cfb"
   },
   "source": [
    "<a href=\"https://colab.research.google.com/github/seisbench/seisbench_training/blob/main/2023_07_13_obs_workshop.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fb323ba8",
   "metadata": {
    "id": "fb323ba8"
   },
   "source": [
    "![image](https://raw.githubusercontent.com/seisbench/seisbench/main/docs/_static/seisbench_logo_subtitle_outlined.svg)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5c51a8f4",
   "metadata": {
    "id": "5c51a8f4"
   },
   "source": [
    "*This code is necessary on colab to install SeisBench and the other required dependencies. If all dependencies are already installed on your machine, you can skip this.*"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "6fdf18c2",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-07-12T12:52:57.088612Z",
     "start_time": "2023-07-12T12:52:45.681750Z"
    },
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 1000
    },
    "id": "6fdf18c2",
    "outputId": "63e7ab44-71e4-4f03-e309-354e716ae2cc"
   },
   "outputs": [],
   "source": [
    "!pip install pyproj seaborn\n",
    "!pip install git+https://github.com/seisbench/seisbench\n",
    "!pip install git+https://github.com/AI4EPS/GaMMA.git"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "90ad8e45",
   "metadata": {
    "id": "90ad8e45"
   },
   "source": [
    "*This cell is required to circumvent an issue with colab and obspy. For details, check this issue in the obspy documentation: https://github.com/obspy/obspy/issues/2547*"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "841a16b1",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-07-12T12:52:57.364700Z",
     "start_time": "2023-07-12T12:52:57.092755Z"
    },
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "841a16b1",
    "outputId": "e6816987-c922-4471-fb63-8c9bc673a42e"
   },
   "outputs": [],
   "source": [
    "try:\n",
    "    import obspy\n",
    "    obspy.read()\n",
    "except TypeError:\n",
    "    # Needs to restart the runtime once, because obspy only works properly after restart.\n",
    "    print('Stopping RUNTIME. If you run this code for the first time, this is expected. Colaboratory will restart automatically. Please run again.')\n",
    "    exit()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2aa6b036",
   "metadata": {
    "id": "2aa6b036"
   },
   "source": [
    "# Deep learning for Ocean Bottom Seismometer data\n",
    "### Phase picking and catalog generation\n",
    "\n",
    "This tutorial shows how to use [SeisBench](https://github.com/seisbench/seisbench) with the PickBlue model to detect and associate phases from OBS waveforms. In addition, it explores how to build an earthquake catalog using the detected phases and the [GaMMA associator](https://github.com/AI4EPS/GaMMA).\n",
    "\n",
    "In the following, we will use data from the [Hikurangi Ocean Bottom Investigation of Tremor and Slow Slip (HOBITSS)](https://fdsn.org/networks/detail/YH_2014/) experiment. This data is new to PickBlue and has not been used for training.\n",
    "\n",
    "For further details on SeisBench, including an extensive set of tutorials, check out [the repository](https://github.com/seisbench/seisbench) or [the documentation](https://seisbench.readthedocs.org/)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "412d4fb1",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-07-12T13:55:20.440176Z",
     "start_time": "2023-07-12T13:55:18.831486Z"
    },
    "id": "412d4fb1"
   },
   "outputs": [],
   "source": [
    "import obspy\n",
    "from obspy.clients.fdsn import Client\n",
    "from obspy import UTCDateTime\n",
    "from pyproj import CRS, Transformer\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "from collections import Counter\n",
    "from tqdm import tqdm\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "import torch\n",
    "\n",
    "from gamma.utils import association\n",
    "import seisbench.models as sbm\n",
    "\n",
    "sns.set(font_scale=1.2)\n",
    "sns.set_style(\"ticks\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3mr-bQ1pYBbf",
   "metadata": {
    "id": "3mr-bQ1pYBbf"
   },
   "source": [
    "## Picking traces with deep learning\n",
    "\n",
    "We start by picking phases with deep learning. As a first step, we load the models. To compare the models, we load two of them: PickBlue, a model trained on OBS data and able to harness the hydrophone components in addition to the 3 seismometer components, and a PhaseNet model, trained on land stations.\n",
    "\n",
    "The models are loaded from the SeisBench repository and afterwards cached locally. They have been pretrained and made available.\n",
    "\n",
    "**TODO:** Play with different models and see how the predictions change."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "fVhfe--6YBJ1",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-07-12T13:55:20.481227Z",
     "start_time": "2023-07-12T13:55:20.441523Z"
    },
    "id": "fVhfe--6YBJ1"
   },
   "outputs": [],
   "source": [
    "pickblue = sbm.PickBlue(\"phasenet\")  # Try \"phasenet\" and \"eqtransformer\"\n",
    "landmodel = sbm.PhaseNet.from_pretrained(\"original\")  # Try out different weights here. How about \"original\", \"ethz\" or \"instance\"? Or maybe even EQTransformer?\n",
    "# landmodel = sbm.EQTransformer.from_pretrained(\"original\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "05ef4822",
   "metadata": {},
   "source": [
    "Next, we load the waveforms through FDSN. For demonstration purposes, we only use one station and waveforms around known events from [a catalog](https://zenodo.org/record/2022405#.XIbszRNKgWo).\n",
    "\n",
    "**TODO:** Try out different stations and event times. Or maybe just try a segment without a known event?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "HFtRv3TsYOwW",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-07-12T13:55:23.145061Z",
     "start_time": "2023-07-12T13:55:20.482288Z"
    },
    "id": "HFtRv3TsYOwW"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "4 Trace(s) in Stream:\n",
       "YH.LOBS8..HDH | 2015-04-21T12:09:56.801200Z - 2015-04-21T12:11:06.791200Z | 100.0 Hz, 7000 samples\n",
       "YH.LOBS8..HH1 | 2015-04-21T12:09:56.801300Z - 2015-04-21T12:11:06.791305Z | 100.0 Hz, 7000 samples\n",
       "YH.LOBS8..HH2 | 2015-04-21T12:09:56.801300Z - 2015-04-21T12:11:06.791305Z | 100.0 Hz, 7000 samples\n",
       "YH.LOBS8..HHZ | 2015-04-21T12:09:56.801300Z - 2015-04-21T12:11:06.791305Z | 100.0 Hz, 7000 samples"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "client = Client(\"IRIS\")\n",
    "\n",
    "# Try out different stations - LOBS0 to LOBS9 (some are missing the hydrophone)\n",
    "station = \"LOBS8\"\n",
    "\n",
    "# Try out different events:\n",
    "# t0 = UTCDateTime(1414618475.7060)\n",
    "t0 = UTCDateTime(1429618206.7916)\n",
    "# t0 = UTCDateTime(1404392223.6444)\n",
    "# t0 = UTCDateTime(1421546179.6840)\n",
    "\n",
    "stream = client.get_waveforms(network=\"YH\", station=station, location=\"*\", channel=\"H??\", starttime=t0 - 10, endtime=t0 + 60)\n",
    "\n",
    "stream"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "76b2b1a7",
   "metadata": {},
   "source": [
    "Let's apply the PickBlue model to the stream. For this, we use the `annotate` function. It takes an obspy stream and returns phase probability curves. Here, we use `annotate` with a short segment from a single station but you can also pass in multiple stations and long segments. The function will automatically group picks by station, handle data gaps, and take care of all required pre-preprocessing required for the stream."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "6af73ce6",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-07-12T13:55:23.174079Z",
     "start_time": "2023-07-12T13:55:23.146576Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "3 Trace(s) in Stream:\n",
       "YH.LOBS8..PhaseNet_P | 2015-04-21T12:09:56.801200Z - 2015-04-21T12:11:06.791200Z | 100.0 Hz, 7000 samples\n",
       "YH.LOBS8..PhaseNet_S | 2015-04-21T12:09:56.801200Z - 2015-04-21T12:11:06.791200Z | 100.0 Hz, 7000 samples\n",
       "YH.LOBS8..PhaseNet_N | 2015-04-21T12:09:56.801200Z - 2015-04-21T12:11:06.791200Z | 100.0 Hz, 7000 samples"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pickblue.annotate(stream)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8983f3ae",
   "metadata": {},
   "source": [
    "The below block visualizes the 4C waveforms and the prediction curves. We compare the predictions from PickBlue and the land-based picking model.\n",
    "\n",
    "**TODO:** Try out different combinations of models, stations and events and see how the two models differ."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "m4p-DsQwcRI1",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-07-12T13:55:23.381541Z",
     "start_time": "2023-07-12T13:55:23.175013Z"
    },
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 855
    },
    "id": "m4p-DsQwcRI1",
    "outputId": "b65ea1e1-8c82-4fbb-c455-0c72b22950e7"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.01, 0.85, 'Land model')"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1000x1000 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(10, 10))\n",
    "axs = fig.subplots(3, 1, sharex=True, gridspec_kw={\"height_ratios\": [3, 1, 1], \"hspace\": 0})\n",
    "\n",
    "waveforms = stream.copy().detrend().filter(\"highpass\", freq=2)\n",
    "\n",
    "for i, trace in enumerate(waveforms):\n",
    "    normed = trace.data - np.mean(trace.data)\n",
    "    normed = normed / np.max(np.abs(normed))\n",
    "\n",
    "    axs[0].text(0, 2.5 * i + 0.9, trace.id, fontsize=12)\n",
    "    axs[0].plot(trace.times(), 2.5 * i + normed, c=\"k\", lw=0.5)\n",
    "\n",
    "axs[0].set_yticks([])\n",
    "axs[0].set_xlim(0, waveforms[0].times()[-1])\n",
    "\n",
    "def plot_annotations(ann, ax):\n",
    "    for i, phase in enumerate(\"PS\"):\n",
    "        trace = ann.select(channel=f\"*_{phase}\")[0]\n",
    "        offset = trace.stats.starttime - waveforms[0].stats.starttime\n",
    "        ax.plot(trace.times() + offset, trace.data)\n",
    "        ax.set_ylim(0, 1)\n",
    "\n",
    "plot_annotations(pickblue.annotate(stream), axs[1])\n",
    "axs[1].text(0.01, 0.85, \"PickBlue\")\n",
    "plot_annotations(landmodel.annotate(stream), axs[2])\n",
    "axs[2].text(0.01, 0.85, \"Land model\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c8d76d42",
   "metadata": {},
   "source": [
    "While deep learning models usually output phase probability curves, most downstream processing requires phase picks. To bridge these steps, we use a simple triggering algorithm. In SeisBench, you can just use the `classify` function to automatically extract picks from an obspy stream. You can furthermore specify the thresholds, where a pick should be declared."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "d6f097c1",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-07-12T13:55:23.399105Z",
     "start_time": "2023-07-12T13:55:23.382691Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "YH.LOBS8.\t2015-04-21T12:10:13.291200Z\tP\n",
      "YH.LOBS8.\t2015-04-21T12:10:19.441200Z\tS\n"
     ]
    }
   ],
   "source": [
    "picks = pickblue.classify(stream, P_threshold=0.1, S_threshold=0.1)\n",
    "for pick in picks:\n",
    "    print(pick)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f94ece16",
   "metadata": {
    "id": "f94ece16"
   },
   "source": [
    "## Building an earthquake catalog\n",
    "\n",
    "Now that we have seen how to use PickBlue for detecting and picking seismic phase arrivals, we can start building an earthquake catalog. For a short and feasible example, we took four hours of continuous seismic waveforms from the HOBITSS deployment. The same procedure could also be applied to longer-running examples.\n",
    "\n",
    "For creating an event catalog, in addition to a phase picker, we need a phase associator. Here, we are using the GaMMA associator by Zhu et al (2021). The first codeblock contains all configurations for GaMMa. In addition, we set up a local coordinate projection to measure distances."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "66ab2c36",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-07-12T13:55:23.409080Z",
     "start_time": "2023-07-12T13:55:23.400961Z"
    },
    "id": "66ab2c36"
   },
   "outputs": [],
   "source": [
    "# Projections\n",
    "wgs84 = CRS.from_epsg(4326)\n",
    "local_crs = CRS.from_epsg(32760)  # UTM zone 60S\n",
    "transformer = Transformer.from_crs(wgs84, local_crs)\n",
    "\n",
    "# Gamma\n",
    "config = {}\n",
    "config[\"dims\"] = ['x(km)', 'y(km)', 'z(km)']\n",
    "config[\"use_dbscan\"] = True\n",
    "config[\"use_amplitude\"] = False\n",
    "config[\"x(km)\"] = (580, 720)\n",
    "config[\"y(km)\"] = (5650, 5770)\n",
    "config[\"z(km)\"] = (0, 75)\n",
    "config[\"vel\"] = {\"p\": 6.7, \"s\": 6.7 / 1.75}\n",
    "config[\"method\"] = \"BGMM\"\n",
    "if config[\"method\"] == \"BGMM\":\n",
    "    config[\"oversample_factor\"] = 4\n",
    "if config[\"method\"] == \"GMM\":\n",
    "    config[\"oversample_factor\"] = 1\n",
    "\n",
    "# DBSCAN\n",
    "config[\"bfgs_bounds\"] = (\n",
    "    (config[\"x(km)\"][0] - 1, config[\"x(km)\"][1] + 1),  # x\n",
    "    (config[\"y(km)\"][0] - 1, config[\"y(km)\"][1] + 1),  # y\n",
    "    (0, config[\"z(km)\"][1] + 1),  # x\n",
    "    (None, None),  # t\n",
    ")\n",
    "config[\"dbscan_eps\"] = 20  # seconds\n",
    "config[\"dbscan_min_samples\"] = 3\n",
    "\n",
    "# Filtering\n",
    "config[\"min_picks_per_eq\"] = 8\n",
    "config[\"max_sigma11\"] = 2.5\n",
    "config[\"max_sigma22\"] = 1.0\n",
    "config[\"max_sigma12\"] = 1.0"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "643e03e4",
   "metadata": {
    "id": "643e03e4"
   },
   "source": [
    "## Obtaining the data\n",
    "\n",
    "We will use data from the YH network from 25/10/2014 14:00 to 18:00 UTC. To avoid overloading the IRIS FDSN server, we precompiled the dataset and download it directly using wget. For reference, the original download code is contained in the repository."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "a5ee7c51",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-07-12T13:55:27.770002Z",
     "start_time": "2023-07-12T13:55:23.410819Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "--2023-07-12 15:55:23--  https://hifis-storage.desy.de:2880/Helmholtz/HelmholtzAI/SeisBench/auxiliary/hobitss_4h.mseed\n",
      "Resolving hifis-storage.desy.de (hifis-storage.desy.de)... 131.169.191.70, 2001:638:700:10bf::1:46\n",
      "Connecting to hifis-storage.desy.de (hifis-storage.desy.de)|131.169.191.70|:2880... connected.\n",
      "HTTP request sent, awaiting response... 200 OK\n",
      "Length: 91516928 (87M) [application/octet-stream]\n",
      "Saving to: ‘hobitss_4h.mseed’\n",
      "\n",
      "hobitss_4h.mseed    100%[===================>]  87,28M  24,0MB/s    in 3,8s    \n",
      "\n",
      "2023-07-12 15:55:27 (23,0 MB/s) - ‘hobitss_4h.mseed’ saved [91516928/91516928]\n",
      "\n",
      "--2023-07-12 15:55:27--  https://hifis-storage.desy.de:2880/Helmholtz/HelmholtzAI/SeisBench/auxiliary/hobitss_inv.xml\n",
      "Resolving hifis-storage.desy.de (hifis-storage.desy.de)... 131.169.191.70, 2001:638:700:10bf::1:46\n",
      "Connecting to hifis-storage.desy.de (hifis-storage.desy.de)|131.169.191.70|:2880... connected.\n",
      "HTTP request sent, awaiting response... 200 OK\n",
      "Length: 8686 (8,5K) [application/xml]\n",
      "Saving to: ‘hobitss_inv.xml’\n",
      "\n",
      "hobitss_inv.xml     100%[===================>]   8,48K  --.-KB/s    in 0s      \n",
      "\n",
      "2023-07-12 15:55:27 (141 MB/s) - ‘hobitss_inv.xml’ saved [8686/8686]\n",
      "\n"
     ]
    }
   ],
   "source": [
    "!wget https://hifis-storage.desy.de:2880/Helmholtz/HelmholtzAI/SeisBench/auxiliary/hobitss_4h.mseed\n",
    "!wget https://hifis-storage.desy.de:2880/Helmholtz/HelmholtzAI/SeisBench/auxiliary/hobitss_inv.xml"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "a8de0540",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-07-12T13:55:28.184757Z",
     "start_time": "2023-07-12T13:55:27.773957Z"
    }
   },
   "outputs": [],
   "source": [
    "stream = obspy.read(\"hobitss_4h.mseed\")\n",
    "inv = obspy.read_inventory(\"hobitss_inv.xml\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "79b4395a",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-07-12T13:55:28.188539Z",
     "start_time": "2023-07-12T13:55:28.186098Z"
    },
    "id": "79b4395a",
    "scrolled": false
   },
   "outputs": [],
   "source": [
    "if False:\n",
    "    client = Client(\"IRIS\")\n",
    "\n",
    "    channels = \"EH?,HH?,HD?\"\n",
    "    \n",
    "    t0 = UTCDateTime(\"2014-10-25T14:00:00.000000Z\")\n",
    "    t1 = t0 + 4 * 60 * 60\n",
    "    stream = client.get_waveforms(network=\"YH\", station=\"*\", location=\"*\", channel=channels, starttime=t0, endtime=t1)\n",
    "\n",
    "    inv = client.get_stations(network=\"YH\", station=\"*\", location=\"*\", channel=channels, starttime=t0, endtime=t1)\n",
    "    \n",
    "    stream.write(\"data/hobitss_4h.mseed\")\n",
    "    inv.write(\"data/hobitss_inv.xml\", format=\"STATIONXML\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "z9KrOoj_NxVe",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-07-12T13:55:28.275502Z",
     "start_time": "2023-07-12T13:55:28.189669Z"
    },
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "z9KrOoj_NxVe",
    "outputId": "ee9dd147-f026-4e48-c46b-13955eddc383",
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "53 Trace(s) in Stream:\n",
      "YH.EBS1..EH1  | 2014-10-25T14:00:00.000000Z - 2014-10-25T18:00:00.000000Z | 200.0 Hz, 2880001 samples\n",
      "YH.EBS1..EH2  | 2014-10-25T14:00:00.000000Z - 2014-10-25T18:00:00.000000Z | 200.0 Hz, 2880001 samples\n",
      "YH.EBS1..EHZ  | 2014-10-25T14:00:00.000000Z - 2014-10-25T18:00:00.000000Z | 200.0 Hz, 2880001 samples\n",
      "YH.EBS2..EH1  | 2014-10-25T14:00:00.000000Z - 2014-10-25T18:00:00.000000Z | 200.0 Hz, 2880001 samples\n",
      "YH.EBS2..EH2  | 2014-10-25T14:00:00.000000Z - 2014-10-25T18:00:00.000000Z | 200.0 Hz, 2880001 samples\n",
      "YH.EBS2..EHZ  | 2014-10-25T14:00:00.000000Z - 2014-10-25T18:00:00.000000Z | 200.0 Hz, 2880001 samples\n",
      "YH.EBS3..EH1  | 2014-10-25T14:00:00.000000Z - 2014-10-25T18:00:00.000000Z | 200.0 Hz, 2880001 samples\n",
      "YH.EBS3..EH2  | 2014-10-25T14:00:00.000000Z - 2014-10-25T18:00:00.000000Z | 200.0 Hz, 2880001 samples\n",
      "YH.EBS3..EHZ  | 2014-10-25T14:00:00.000000Z - 2014-10-25T18:00:00.000000Z | 200.0 Hz, 2880001 samples\n",
      "YH.EBS4..EH1  | 2014-10-25T14:00:00.000000Z - 2014-10-25T18:00:00.000000Z | 200.0 Hz, 2880001 samples\n",
      "YH.EBS4..EH2  | 2014-10-25T14:00:00.000000Z - 2014-10-25T18:00:00.000000Z | 200.0 Hz, 2880001 samples\n",
      "YH.EBS4..EHZ  | 2014-10-25T14:00:00.000000Z - 2014-10-25T18:00:00.000000Z | 200.0 Hz, 2880001 samples\n",
      "YH.EBS5..EH1  | 2014-10-25T14:00:00.000000Z - 2014-10-25T18:00:00.000000Z | 200.0 Hz, 2880001 samples\n",
      "YH.EBS5..EH2  | 2014-10-25T14:00:00.000000Z - 2014-10-25T18:00:00.000000Z | 200.0 Hz, 2880001 samples\n",
      "YH.EBS5..EHZ  | 2014-10-25T14:00:00.000000Z - 2014-10-25T18:00:00.000000Z | 200.0 Hz, 2880001 samples\n",
      "YH.LOB10..HDH | 2014-10-25T14:00:00.000000Z - 2014-10-25T18:00:00.000000Z | 100.0 Hz, 1440001 samples\n",
      "YH.LOB10..HH1 | 2014-10-25T14:00:00.000000Z - 2014-10-25T18:00:00.000000Z | 100.0 Hz, 1440001 samples\n",
      "YH.LOB10..HH2 | 2014-10-25T14:00:00.000000Z - 2014-10-25T18:00:00.000000Z | 100.0 Hz, 1440001 samples\n",
      "YH.LOB10..HHZ | 2014-10-25T14:00:00.000000Z - 2014-10-25T18:00:00.000000Z | 100.0 Hz, 1440001 samples\n",
      "YH.LOBS1..HDH | 2014-10-25T14:00:00.006300Z - 2014-10-25T17:59:59.996300Z | 100.0 Hz, 1440000 samples\n",
      "YH.LOBS1..HH1 | 2014-10-25T14:00:00.006000Z - 2014-10-25T17:59:59.996000Z | 100.0 Hz, 1440000 samples\n",
      "YH.LOBS1..HH2 | 2014-10-25T14:00:00.006000Z - 2014-10-25T17:59:59.996000Z | 100.0 Hz, 1440000 samples\n",
      "YH.LOBS1..HHZ | 2014-10-25T14:00:00.006000Z - 2014-10-25T17:59:59.996000Z | 100.0 Hz, 1440000 samples\n",
      "YH.LOBS2..HH1 | 2014-10-25T14:00:00.005700Z - 2014-10-25T17:59:59.995700Z | 100.0 Hz, 1440000 samples\n",
      "YH.LOBS2..HH2 | 2014-10-25T14:00:00.005700Z - 2014-10-25T17:59:59.995700Z | 100.0 Hz, 1440000 samples\n",
      "YH.LOBS2..HHZ | 2014-10-25T14:00:00.005700Z - 2014-10-25T17:59:59.995700Z | 100.0 Hz, 1440000 samples\n",
      "YH.LOBS3..HH1 | 2014-10-25T14:00:00.000800Z - 2014-10-25T17:59:59.988603Z | 100.0 Hz, 1440000 samples\n",
      "YH.LOBS3..HH2 | 2014-10-25T14:00:00.009800Z - 2014-10-25T14:00:01.619800Z | 100.0 Hz, 162 samples\n",
      "YH.LOBS3..HH2 | 2014-10-25T14:00:01.635800Z - 2014-10-25T17:59:59.993603Z | 100.0 Hz, 1439837 samples\n",
      "YH.LOBS3..HHZ | 2014-10-25T14:00:00.005600Z - 2014-10-25T17:59:59.993403Z | 100.0 Hz, 1440000 samples\n",
      "YH.LOBS4..HDH | 2014-10-25T14:00:00.000000Z - 2014-10-25T18:00:00.000000Z | 100.0 Hz, 1440001 samples\n",
      "YH.LOBS4..HH1 | 2014-10-25T14:00:00.000000Z - 2014-10-25T18:00:00.000000Z | 100.0 Hz, 1440001 samples\n",
      "YH.LOBS4..HH2 | 2014-10-25T14:00:00.000000Z - 2014-10-25T18:00:00.000000Z | 100.0 Hz, 1440001 samples\n",
      "YH.LOBS4..HHZ | 2014-10-25T14:00:00.000000Z - 2014-10-25T18:00:00.000000Z | 100.0 Hz, 1440001 samples\n",
      "YH.LOBS5..HDH | 2014-10-25T14:00:00.000500Z - 2014-10-25T17:59:59.990500Z | 100.0 Hz, 1440000 samples\n",
      "YH.LOBS5..HH1 | 2014-10-25T14:00:00.005800Z - 2014-10-25T17:59:59.990307Z | 100.0 Hz, 1440000 samples\n",
      "YH.LOBS5..HH2 | 2014-10-25T14:00:00.007400Z - 2014-10-25T17:59:59.991907Z | 100.0 Hz, 1440000 samples\n",
      "YH.LOBS5..HHZ | 2014-10-25T14:00:00.007500Z - 2014-10-25T17:59:59.992007Z | 100.0 Hz, 1440000 samples\n",
      "YH.LOBS6..HDH | 2014-10-25T14:00:00.007600Z - 2014-10-25T17:59:59.997600Z | 100.0 Hz, 1440000 samples\n",
      "YH.LOBS6..HH1 | 2014-10-25T14:00:00.001000Z - 2014-10-25T17:59:59.991000Z | 100.0 Hz, 1440000 samples\n",
      "YH.LOBS6..HH2 | 2014-10-25T14:00:00.001000Z - 2014-10-25T17:59:59.991000Z | 100.0 Hz, 1440000 samples\n",
      "YH.LOBS6..HHZ | 2014-10-25T14:00:00.001000Z - 2014-10-25T17:59:59.991000Z | 100.0 Hz, 1440000 samples\n",
      "YH.LOBS7..HH1 | 2014-10-25T14:00:00.008100Z - 2014-10-25T18:00:00.000297Z | 100.0 Hz, 1440000 samples\n",
      "YH.LOBS7..HH2 | 2014-10-25T14:00:00.008100Z - 2014-10-25T17:59:59.990297Z | 100.0 Hz, 1439999 samples\n",
      "YH.LOBS7..HHZ | 2014-10-25T14:00:00.008100Z - 2014-10-25T17:59:59.990297Z | 100.0 Hz, 1439999 samples\n",
      "YH.LOBS8..HDH | 2014-10-25T14:00:00.007000Z - 2014-10-25T17:59:59.997000Z | 100.0 Hz, 1440000 samples\n",
      "YH.LOBS8..HH1 | 2014-10-25T14:00:00.001000Z - 2014-10-25T17:59:59.992099Z | 100.0 Hz, 1440000 samples\n",
      "YH.LOBS8..HH2 | 2014-10-25T14:00:00.001000Z - 2014-10-25T17:59:59.992099Z | 100.0 Hz, 1440000 samples\n",
      "YH.LOBS8..HHZ | 2014-10-25T14:00:00.001000Z - 2014-10-25T17:59:59.992099Z | 100.0 Hz, 1440000 samples\n",
      "YH.LOBS9..HDH | 2014-10-25T14:00:00.008800Z - 2014-10-25T17:59:59.998800Z | 100.0 Hz, 1440000 samples\n",
      "YH.LOBS9..HH1 | 2014-10-25T14:00:00.004000Z - 2014-10-25T17:59:59.986422Z | 100.0 Hz, 1440001 samples\n",
      "YH.LOBS9..HH2 | 2014-10-25T14:00:00.004000Z - 2014-10-25T17:59:59.986422Z | 100.0 Hz, 1440001 samples\n",
      "YH.LOBS9..HHZ | 2014-10-25T14:00:00.007900Z - 2014-10-25T17:59:59.990322Z | 100.0 Hz, 1440001 samples\n"
     ]
    }
   ],
   "source": [
    "print(stream.__str__(extended=True))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "54e04a23",
   "metadata": {
    "id": "54e04a23"
   },
   "source": [
    "## Picking\n",
    "\n",
    "First, we need to pick the waveforms using PickBlue. We do this using the `classify` function introduced before.\n",
    "\n",
    "**Warning:** This will take some time and requires sufficient main memory. If you are short on memory, reduce the study time in the cell before.\n",
    "\n",
    "**Note:** We automatically check if CUDA is available and run the model on CUDA in this case. Alternatively, the model runs on CPU. If you are running on Google Colab, you can simply select a GPU runtime from "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7dea058d",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-07-12T14:26:17.536433Z",
     "start_time": "2023-07-12T14:26:17.532531Z"
    }
   },
   "source": [
    "**TODO:** Try out the impact of different thresholds on the catalog."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "2cd8f1f2",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-07-12T13:55:54.844685Z",
     "start_time": "2023-07-12T13:55:28.276515Z"
    },
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "2cd8f1f2",
    "outputId": "e0756b81-3515-4dd6-90d3-fca0041c9f34"
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2023-07-12 15:55:28,286 | seisbench | WARNING | You are processing a large stream with the sequential asyncio implementation. Consider activating parallelisation. For details, see http://docs.seisbench.org/en/stable/pages/documentation/models.html#seisbench.models.base.WaveformModel.annotate\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "Counter({'S': 1674, 'P': 609})"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "picker = sbm.PickBlue()\n",
    "\n",
    "if torch.cuda.is_available():\n",
    "    picker.cuda()\n",
    "\n",
    "# We tuned the thresholds a bit - Feel free to play around with these values\n",
    "picks = picker.classify(stream, batch_size=256, P_threshold=0.1, S_threshold=0.1)\n",
    "\n",
    "Counter([p.phase for p in picks])  # Output number of P and S picks"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e4a70fae",
   "metadata": {
    "id": "e4a70fae"
   },
   "source": [
    "We now convert the picks and station metadata into pandas dataframes in the format required for the GaMMA associator."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "30c8738e",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-07-12T13:55:54.859496Z",
     "start_time": "2023-07-12T13:55:54.845940Z"
    },
    "id": "30c8738e"
   },
   "outputs": [],
   "source": [
    "pick_df = []\n",
    "for p in picks:\n",
    "    pick_df.append({\n",
    "        \"id\": p.trace_id,\n",
    "        \"timestamp\": p.peak_time.datetime,\n",
    "        \"prob\": p.peak_value,\n",
    "        \"type\": p.phase.lower()\n",
    "    })\n",
    "pick_df = pd.DataFrame(pick_df)\n",
    "\n",
    "station_df = []\n",
    "for net in inv:\n",
    "    for station in net:\n",
    "        station_df.append({\n",
    "            \"id\": f\"{net.code}.{station.code}.\",\n",
    "            \"longitude\": station.longitude,\n",
    "            \"latitude\": station.latitude,\n",
    "            \"elevation(m)\": station.elevation\n",
    "        })\n",
    "station_df = pd.DataFrame(station_df)\n",
    "\n",
    "station_df[\"x(km)\"] = station_df.apply(lambda x: transformer.transform(x[\"latitude\"], x[\"longitude\"])[0] / 1e3, axis=1)\n",
    "station_df[\"y(km)\"] = station_df.apply(lambda x: transformer.transform(x[\"latitude\"], x[\"longitude\"])[1] / 1e3, axis=1)\n",
    "station_df[\"z(km)\"] = station_df[\"elevation(m)\"] / 1e3\n",
    "\n",
    "northing = {station: y for station, y in zip(station_df[\"id\"], station_df[\"y(km)\"])}\n",
    "station_dict = {station: (x, y) for station, x, y in zip(station_df[\"id\"], station_df[\"x(km)\"], station_df[\"y(km)\"])}"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "58ed9383",
   "metadata": {
    "id": "58ed9383"
   },
   "source": [
    "Let's have a look at the picks generated by the model. Note that we retained the probability from the deep learning model. It will be used by the associator later on."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "215560d0",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-07-12T13:55:54.872996Z",
     "start_time": "2023-07-12T13:55:54.860671Z"
    },
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 424
    },
    "id": "215560d0",
    "outputId": "610dc4b1-bc5d-46bc-ff29-94b52635cf47"
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>timestamp</th>\n",
       "      <th>prob</th>\n",
       "      <th>type</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>YH.EBS2.</td>\n",
       "      <td>2014-10-25 14:00:06.110000</td>\n",
       "      <td>0.161914</td>\n",
       "      <td>s</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>YH.LOBS9.</td>\n",
       "      <td>2014-10-25 14:00:19.184000</td>\n",
       "      <td>0.116860</td>\n",
       "      <td>s</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>YH.EBS1.</td>\n",
       "      <td>2014-10-25 14:00:22.600000</td>\n",
       "      <td>0.300110</td>\n",
       "      <td>s</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>YH.EBS2.</td>\n",
       "      <td>2014-10-25 14:00:29.450000</td>\n",
       "      <td>0.577072</td>\n",
       "      <td>s</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>YH.LOBS6.</td>\n",
       "      <td>2014-10-25 14:00:33.621000</td>\n",
       "      <td>0.116353</td>\n",
       "      <td>s</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2280</th>\n",
       "      <td>YH.LOBS6.</td>\n",
       "      <td>2014-10-25 17:59:44.401000</td>\n",
       "      <td>0.130010</td>\n",
       "      <td>s</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2281</th>\n",
       "      <td>YH.LOBS2.</td>\n",
       "      <td>2014-10-25 17:59:54.435700</td>\n",
       "      <td>0.135102</td>\n",
       "      <td>p</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1082</th>\n",
       "      <td>YH.EBS1.</td>\n",
       "      <td>2014-10-25 17:59:56.370000</td>\n",
       "      <td>0.111965</td>\n",
       "      <td>s</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1083</th>\n",
       "      <td>YH.EBS2.</td>\n",
       "      <td>2014-10-25 17:59:58.860000</td>\n",
       "      <td>0.411976</td>\n",
       "      <td>s</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2282</th>\n",
       "      <td>YH.EBS5.</td>\n",
       "      <td>2014-10-25 17:59:59.970000</td>\n",
       "      <td>0.492859</td>\n",
       "      <td>p</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2283 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "             id                  timestamp      prob type\n",
       "0      YH.EBS2. 2014-10-25 14:00:06.110000  0.161914    s\n",
       "1     YH.LOBS9. 2014-10-25 14:00:19.184000  0.116860    s\n",
       "2      YH.EBS1. 2014-10-25 14:00:22.600000  0.300110    s\n",
       "3      YH.EBS2. 2014-10-25 14:00:29.450000  0.577072    s\n",
       "4     YH.LOBS6. 2014-10-25 14:00:33.621000  0.116353    s\n",
       "...         ...                        ...       ...  ...\n",
       "2280  YH.LOBS6. 2014-10-25 17:59:44.401000  0.130010    s\n",
       "2281  YH.LOBS2. 2014-10-25 17:59:54.435700  0.135102    p\n",
       "1082   YH.EBS1. 2014-10-25 17:59:56.370000  0.111965    s\n",
       "1083   YH.EBS2. 2014-10-25 17:59:58.860000  0.411976    s\n",
       "2282   YH.EBS5. 2014-10-25 17:59:59.970000  0.492859    p\n",
       "\n",
       "[2283 rows x 4 columns]"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pick_df.sort_values(\"timestamp\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7225169c",
   "metadata": {},
   "source": [
    "Let's also check the stations available."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "JoM9cmyhPP6r",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-07-12T13:55:54.879987Z",
     "start_time": "2023-07-12T13:55:54.873856Z"
    },
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 520
    },
    "id": "JoM9cmyhPP6r",
    "outputId": "6ffd0f81-548a-4e62-9f8f-1987a4bbe0c6"
   },
   "outputs": [
    {
     "data": {
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       "    }\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>longitude</th>\n",
       "      <th>latitude</th>\n",
       "      <th>elevation(m)</th>\n",
       "      <th>x(km)</th>\n",
       "      <th>y(km)</th>\n",
       "      <th>z(km)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>YH.EBS1.</td>\n",
       "      <td>178.678894</td>\n",
       "      <td>-38.745899</td>\n",
       "      <td>-995.0</td>\n",
       "      <td>645.901492</td>\n",
       "      <td>5710.082582</td>\n",
       "      <td>-0.9950</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>YH.EBS2.</td>\n",
       "      <td>178.583496</td>\n",
       "      <td>-38.777100</td>\n",
       "      <td>-930.0</td>\n",
       "      <td>637.550684</td>\n",
       "      <td>5706.767796</td>\n",
       "      <td>-0.9300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>YH.EBS3.</td>\n",
       "      <td>178.650604</td>\n",
       "      <td>-38.694599</td>\n",
       "      <td>-1023.0</td>\n",
       "      <td>643.545466</td>\n",
       "      <td>5715.820366</td>\n",
       "      <td>-1.0230</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>YH.EBS4.</td>\n",
       "      <td>178.819901</td>\n",
       "      <td>-38.688801</td>\n",
       "      <td>-1712.0</td>\n",
       "      <td>658.282272</td>\n",
       "      <td>5716.184946</td>\n",
       "      <td>-1.7120</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>YH.EBS5.</td>\n",
       "      <td>178.325699</td>\n",
       "      <td>-38.994400</td>\n",
       "      <td>-1348.0</td>\n",
       "      <td>614.805805</td>\n",
       "      <td>5683.009023</td>\n",
       "      <td>-1.3480</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>YH.LOB10.</td>\n",
       "      <td>178.313202</td>\n",
       "      <td>-39.133301</td>\n",
       "      <td>-1444.0</td>\n",
       "      <td>613.500834</td>\n",
       "      <td>5667.609704</td>\n",
       "      <td>-1.4440</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>YH.LOBS1.</td>\n",
       "      <td>178.818695</td>\n",
       "      <td>-38.592098</td>\n",
       "      <td>-993.6</td>\n",
       "      <td>658.390160</td>\n",
       "      <td>5726.918806</td>\n",
       "      <td>-0.9936</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>YH.LOBS2.</td>\n",
       "      <td>179.046097</td>\n",
       "      <td>-38.620998</td>\n",
       "      <td>-3562.5</td>\n",
       "      <td>678.124885</td>\n",
       "      <td>5723.294663</td>\n",
       "      <td>-3.5625</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>YH.LOBS3.</td>\n",
       "      <td>179.147293</td>\n",
       "      <td>-38.792198</td>\n",
       "      <td>-3540.3</td>\n",
       "      <td>686.490000</td>\n",
       "      <td>5704.093102</td>\n",
       "      <td>-3.5403</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>YH.LOBS4.</td>\n",
       "      <td>178.981506</td>\n",
       "      <td>-39.120098</td>\n",
       "      <td>-3440.5</td>\n",
       "      <td>671.298677</td>\n",
       "      <td>5668.026543</td>\n",
       "      <td>-3.4405</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>YH.LOBS5.</td>\n",
       "      <td>178.698395</td>\n",
       "      <td>-39.119301</td>\n",
       "      <td>-2361.0</td>\n",
       "      <td>646.824145</td>\n",
       "      <td>5668.611100</td>\n",
       "      <td>-2.3610</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>YH.LOBS6.</td>\n",
       "      <td>178.796005</td>\n",
       "      <td>-38.977798</td>\n",
       "      <td>-1873.5</td>\n",
       "      <td>655.573189</td>\n",
       "      <td>5684.153166</td>\n",
       "      <td>-1.8735</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>YH.LOBS7.</td>\n",
       "      <td>178.568100</td>\n",
       "      <td>-38.711498</td>\n",
       "      <td>-784.1</td>\n",
       "      <td>636.337964</td>\n",
       "      <td>5714.071041</td>\n",
       "      <td>-0.7841</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>YH.LOBS8.</td>\n",
       "      <td>178.459396</td>\n",
       "      <td>-38.843201</td>\n",
       "      <td>-651.3</td>\n",
       "      <td>626.653054</td>\n",
       "      <td>5699.611550</td>\n",
       "      <td>-0.6513</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>YH.LOBS9.</td>\n",
       "      <td>178.521393</td>\n",
       "      <td>-39.071602</td>\n",
       "      <td>-1457.4</td>\n",
       "      <td>631.610421</td>\n",
       "      <td>5674.176136</td>\n",
       "      <td>-1.4574</td>\n",
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       "</table>\n",
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      "text/plain": [
       "           id   longitude   latitude  elevation(m)       x(km)        y(km)  \\\n",
       "0    YH.EBS1.  178.678894 -38.745899        -995.0  645.901492  5710.082582   \n",
       "1    YH.EBS2.  178.583496 -38.777100        -930.0  637.550684  5706.767796   \n",
       "2    YH.EBS3.  178.650604 -38.694599       -1023.0  643.545466  5715.820366   \n",
       "3    YH.EBS4.  178.819901 -38.688801       -1712.0  658.282272  5716.184946   \n",
       "4    YH.EBS5.  178.325699 -38.994400       -1348.0  614.805805  5683.009023   \n",
       "5   YH.LOB10.  178.313202 -39.133301       -1444.0  613.500834  5667.609704   \n",
       "6   YH.LOBS1.  178.818695 -38.592098        -993.6  658.390160  5726.918806   \n",
       "7   YH.LOBS2.  179.046097 -38.620998       -3562.5  678.124885  5723.294663   \n",
       "8   YH.LOBS3.  179.147293 -38.792198       -3540.3  686.490000  5704.093102   \n",
       "9   YH.LOBS4.  178.981506 -39.120098       -3440.5  671.298677  5668.026543   \n",
       "10  YH.LOBS5.  178.698395 -39.119301       -2361.0  646.824145  5668.611100   \n",
       "11  YH.LOBS6.  178.796005 -38.977798       -1873.5  655.573189  5684.153166   \n",
       "12  YH.LOBS7.  178.568100 -38.711498        -784.1  636.337964  5714.071041   \n",
       "13  YH.LOBS8.  178.459396 -38.843201        -651.3  626.653054  5699.611550   \n",
       "14  YH.LOBS9.  178.521393 -39.071602       -1457.4  631.610421  5674.176136   \n",
       "\n",
       "     z(km)  \n",
       "0  -0.9950  \n",
       "1  -0.9300  \n",
       "2  -1.0230  \n",
       "3  -1.7120  \n",
       "4  -1.3480  \n",
       "5  -1.4440  \n",
       "6  -0.9936  \n",
       "7  -3.5625  \n",
       "8  -3.5403  \n",
       "9  -3.4405  \n",
       "10 -2.3610  \n",
       "11 -1.8735  \n",
       "12 -0.7841  \n",
       "13 -0.6513  \n",
       "14 -1.4574  "
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "station_df"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "781fa162",
   "metadata": {
    "id": "781fa162"
   },
   "source": [
    "## Association\n",
    "\n",
    "We now run the phase association. This will take a moment. We convert the output into two dataframes, one for the catalog and one for the assignment of picks to the catalog."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "a01b4a82",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-07-12T13:56:05.806421Z",
     "start_time": "2023-07-12T13:55:54.880915Z"
    },
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "a01b4a82",
    "outputId": "c755759d-4127-40a9-a745-080ec19bc3cb"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Associating 150 clusters with 7 CPUs\n",
      "......................................................................................................................................................"
     ]
    }
   ],
   "source": [
    "catalogs, assignments = association(pick_df, station_df, config, method=config[\"method\"])\n",
    "\n",
    "catalog = pd.DataFrame(catalogs)\n",
    "assignments = pd.DataFrame(assignments, columns=[\"pick_idx\", \"event_idx\", \"prob_gamma\"])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ff90c5ac",
   "metadata": {
    "id": "ff90c5ac"
   },
   "source": [
    "## Visualizing the catalog\n",
    "\n",
    "Let's have a look at the catalog."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "29f9de38",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-07-12T13:56:05.817057Z",
     "start_time": "2023-07-12T13:56:05.807664Z"
    },
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 300
    },
    "id": "29f9de38",
    "outputId": "478a94d3-15f8-4d5c-c36f-f6720b64d59c"
   },
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>time</th>\n",
       "      <th>magnitude</th>\n",
       "      <th>sigma_time</th>\n",
       "      <th>sigma_amp</th>\n",
       "      <th>cov_time_amp</th>\n",
       "      <th>gamma_score</th>\n",
       "      <th>num_picks</th>\n",
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       "      <th>y(km)</th>\n",
       "      <th>z(km)</th>\n",
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       "  <tbody>\n",
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       "      <th>0</th>\n",
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       "      <th>1</th>\n",
       "      <td>2014-10-25T16:05:56.988</td>\n",
       "      <td>999</td>\n",
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       "      <td>0.000000</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2014-10-25T14:57:33.037</td>\n",
       "      <td>999</td>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "      <td>9</td>\n",
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       "      <td>9</td>\n",
       "      <td>1</td>\n",
       "      <td>592.231908</td>\n",
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       "      <td>76.000000</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2014-10-25T16:49:17.747</td>\n",
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       "      <th>4</th>\n",
       "      <td>2014-10-25T17:52:32.145</td>\n",
       "      <td>999</td>\n",
       "      <td>0.671406</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>7.495145</td>\n",
       "      <td>8</td>\n",
       "      <td>1</td>\n",
       "      <td>7</td>\n",
       "      <td>5</td>\n",
       "      <td>639.557970</td>\n",
       "      <td>5710.514426</td>\n",
       "      <td>0.000000</td>\n",
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       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>2014-10-25T17:52:53.553</td>\n",
       "      <td>999</td>\n",
       "      <td>0.790700</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>9.066955</td>\n",
       "      <td>8</td>\n",
       "      <td>2</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>656.788922</td>\n",
       "      <td>5692.558290</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>2014-10-25T15:29:42.024</td>\n",
       "      <td>999</td>\n",
       "      <td>1.110931</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>11.000000</td>\n",
       "      <td>9</td>\n",
       "      <td>2</td>\n",
       "      <td>7</td>\n",
       "      <td>2</td>\n",
       "      <td>627.222514</td>\n",
       "      <td>5697.630160</td>\n",
       "      <td>20.519429</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>2014-10-25T14:59:26.290</td>\n",
       "      <td>999</td>\n",
       "      <td>0.891116</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>10.209820</td>\n",
       "      <td>8</td>\n",
       "      <td>3</td>\n",
       "      <td>5</td>\n",
       "      <td>4</td>\n",
       "      <td>628.114430</td>\n",
       "      <td>5670.945611</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>2014-10-25T15:43:38.677</td>\n",
       "      <td>999</td>\n",
       "      <td>1.227921</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>13.000000</td>\n",
       "      <td>10</td>\n",
       "      <td>3</td>\n",
       "      <td>7</td>\n",
       "      <td>3</td>\n",
       "      <td>642.855136</td>\n",
       "      <td>5699.554565</td>\n",
       "      <td>6.174357</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>2014-10-25T16:35:32.603</td>\n",
       "      <td>999</td>\n",
       "      <td>0.459238</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>8.152934</td>\n",
       "      <td>9</td>\n",
       "      <td>1</td>\n",
       "      <td>8</td>\n",
       "      <td>7</td>\n",
       "      <td>660.469508</td>\n",
       "      <td>5730.218680</td>\n",
       "      <td>19.866013</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>2014-10-25T15:25:08.512</td>\n",
       "      <td>999</td>\n",
       "      <td>0.983595</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>7.963057</td>\n",
       "      <td>8</td>\n",
       "      <td>1</td>\n",
       "      <td>7</td>\n",
       "      <td>9</td>\n",
       "      <td>630.431458</td>\n",
       "      <td>5715.994985</td>\n",
       "      <td>28.417407</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>2014-10-25T15:17:00.690</td>\n",
       "      <td>999</td>\n",
       "      <td>0.808706</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>9.000000</td>\n",
       "      <td>9</td>\n",
       "      <td>1</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>649.381327</td>\n",
       "      <td>5698.399737</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>2014-10-25T16:27:55.213</td>\n",
       "      <td>999</td>\n",
       "      <td>1.228386</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>9.614680</td>\n",
       "      <td>10</td>\n",
       "      <td>3</td>\n",
       "      <td>7</td>\n",
       "      <td>10</td>\n",
       "      <td>652.689145</td>\n",
       "      <td>5736.599599</td>\n",
       "      <td>8.961014</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>2014-10-25T15:31:57.936</td>\n",
       "      <td>999</td>\n",
       "      <td>0.716473</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>8.066546</td>\n",
       "      <td>8</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "      <td>13</td>\n",
       "      <td>655.275430</td>\n",
       "      <td>5719.869107</td>\n",
       "      <td>9.130031</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>2014-10-25T17:08:23.411</td>\n",
       "      <td>999</td>\n",
       "      <td>0.834556</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>10.603080</td>\n",
       "      <td>9</td>\n",
       "      <td>3</td>\n",
       "      <td>6</td>\n",
       "      <td>14</td>\n",
       "      <td>642.127007</td>\n",
       "      <td>5694.099375</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>2014-10-25T14:46:31.126</td>\n",
       "      <td>999</td>\n",
       "      <td>0.506318</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>12.455344</td>\n",
       "      <td>12</td>\n",
       "      <td>4</td>\n",
       "      <td>8</td>\n",
       "      <td>15</td>\n",
       "      <td>583.417103</td>\n",
       "      <td>5751.780219</td>\n",
       "      <td>70.564245</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>2014-10-25T14:47:01.702</td>\n",
       "      <td>999</td>\n",
       "      <td>0.371287</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>6.325010</td>\n",
       "      <td>8</td>\n",
       "      <td>1</td>\n",
       "      <td>7</td>\n",
       "      <td>16</td>\n",
       "      <td>605.394513</td>\n",
       "      <td>5722.427234</td>\n",
       "      <td>76.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>2014-10-25T14:32:55.027</td>\n",
       "      <td>999</td>\n",
       "      <td>0.774747</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>7.916714</td>\n",
       "      <td>9</td>\n",
       "      <td>3</td>\n",
       "      <td>6</td>\n",
       "      <td>18</td>\n",
       "      <td>603.472021</td>\n",
       "      <td>5735.445668</td>\n",
       "      <td>76.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>2014-10-25T16:27:05.069</td>\n",
       "      <td>999</td>\n",
       "      <td>0.755740</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>16.000000</td>\n",
       "      <td>11</td>\n",
       "      <td>2</td>\n",
       "      <td>9</td>\n",
       "      <td>17</td>\n",
       "      <td>635.183445</td>\n",
       "      <td>5699.655395</td>\n",
       "      <td>21.564557</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>2014-10-25T17:45:01.182</td>\n",
       "      <td>999</td>\n",
       "      <td>0.458425</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>7.718948</td>\n",
       "      <td>8</td>\n",
       "      <td>2</td>\n",
       "      <td>6</td>\n",
       "      <td>19</td>\n",
       "      <td>669.350984</td>\n",
       "      <td>5712.114565</td>\n",
       "      <td>22.339576</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>2014-10-25T17:07:14.246</td>\n",
       "      <td>999</td>\n",
       "      <td>0.602813</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>7.840341</td>\n",
       "      <td>8</td>\n",
       "      <td>2</td>\n",
       "      <td>6</td>\n",
       "      <td>20</td>\n",
       "      <td>659.646221</td>\n",
       "      <td>5680.352447</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                       time  magnitude  sigma_time  sigma_amp  cov_time_amp  \\\n",
       "0   2014-10-25T16:05:16.141        999    1.297992          0             0   \n",
       "1   2014-10-25T16:05:56.988        999    0.614453          0             0   \n",
       "2   2014-10-25T14:57:33.037        999    0.671454          0             0   \n",
       "3   2014-10-25T16:49:17.747        999    0.817858          0             0   \n",
       "4   2014-10-25T17:52:32.145        999    0.671406          0             0   \n",
       "5   2014-10-25T17:52:53.553        999    0.790700          0             0   \n",
       "6   2014-10-25T15:29:42.024        999    1.110931          0             0   \n",
       "7   2014-10-25T14:59:26.290        999    0.891116          0             0   \n",
       "8   2014-10-25T15:43:38.677        999    1.227921          0             0   \n",
       "9   2014-10-25T16:35:32.603        999    0.459238          0             0   \n",
       "10  2014-10-25T15:25:08.512        999    0.983595          0             0   \n",
       "11  2014-10-25T15:17:00.690        999    0.808706          0             0   \n",
       "12  2014-10-25T16:27:55.213        999    1.228386          0             0   \n",
       "13  2014-10-25T15:31:57.936        999    0.716473          0             0   \n",
       "14  2014-10-25T17:08:23.411        999    0.834556          0             0   \n",
       "15  2014-10-25T14:46:31.126        999    0.506318          0             0   \n",
       "16  2014-10-25T14:47:01.702        999    0.371287          0             0   \n",
       "17  2014-10-25T14:32:55.027        999    0.774747          0             0   \n",
       "18  2014-10-25T16:27:05.069        999    0.755740          0             0   \n",
       "19  2014-10-25T17:45:01.182        999    0.458425          0             0   \n",
       "20  2014-10-25T17:07:14.246        999    0.602813          0             0   \n",
       "\n",
       "    gamma_score  num_picks  num_p_picks  num_s_picks  event_index       x(km)  \\\n",
       "0     15.667504         13            5            8           11  650.616004   \n",
       "1      7.967182          8            1            7           12  641.368436   \n",
       "2      9.912444          9            0            9            1  592.231908   \n",
       "3      7.830661          8            3            5            0  664.040015   \n",
       "4      7.495145          8            1            7            5  639.557970   \n",
       "5      9.066955          8            2            6            6  656.788922   \n",
       "6     11.000000          9            2            7            2  627.222514   \n",
       "7     10.209820          8            3            5            4  628.114430   \n",
       "8     13.000000         10            3            7            3  642.855136   \n",
       "9      8.152934          9            1            8            7  660.469508   \n",
       "10     7.963057          8            1            7            9  630.431458   \n",
       "11     9.000000          9            1            8            8  649.381327   \n",
       "12     9.614680         10            3            7           10  652.689145   \n",
       "13     8.066546          8            0            8           13  655.275430   \n",
       "14    10.603080          9            3            6           14  642.127007   \n",
       "15    12.455344         12            4            8           15  583.417103   \n",
       "16     6.325010          8            1            7           16  605.394513   \n",
       "17     7.916714          9            3            6           18  603.472021   \n",
       "18    16.000000         11            2            9           17  635.183445   \n",
       "19     7.718948          8            2            6           19  669.350984   \n",
       "20     7.840341          8            2            6           20  659.646221   \n",
       "\n",
       "          y(km)      z(km)  \n",
       "0   5707.394857   0.000000  \n",
       "1   5688.967165   0.000000  \n",
       "2   5665.616811  76.000000  \n",
       "3   5698.409255   0.000000  \n",
       "4   5710.514426   0.000000  \n",
       "5   5692.558290   0.000000  \n",
       "6   5697.630160  20.519429  \n",
       "7   5670.945611   0.000000  \n",
       "8   5699.554565   6.174357  \n",
       "9   5730.218680  19.866013  \n",
       "10  5715.994985  28.417407  \n",
       "11  5698.399737   0.000000  \n",
       "12  5736.599599   8.961014  \n",
       "13  5719.869107   9.130031  \n",
       "14  5694.099375   0.000000  \n",
       "15  5751.780219  70.564245  \n",
       "16  5722.427234  76.000000  \n",
       "17  5735.445668  76.000000  \n",
       "18  5699.655395  21.564557  \n",
       "19  5712.114565  22.339576  \n",
       "20  5680.352447   0.000000  "
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "catalog"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a112c365",
   "metadata": {
    "id": "a112c365"
   },
   "source": [
    "We can also plot the catalog. Conveniently, we are already in a local transverse mercator projection, so need for further thought in the plotting here.\n",
    "\n",
    "We use the `scatter` function and encode the depth of the events using color. The pattern matches the catalog from https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2018JB017211 ."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "50af8a15",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-07-12T13:56:06.077136Z",
     "start_time": "2023-07-12T13:56:05.818424Z"
    },
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 814
    },
    "id": "50af8a15",
    "outputId": "6f5c2356-c0af-4eb2-a889-84bb843236f8"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1000x1000 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(10, 10))\n",
    "ax = fig.add_subplot(111)\n",
    "ax.set_aspect(\"equal\")\n",
    "cb = ax.scatter(catalog[\"x(km)\"], catalog[\"y(km)\"], c=catalog[\"z(km)\"], s=8, cmap=\"viridis\")\n",
    "cbar = fig.colorbar(cb)\n",
    "cbar.ax.set_ylim(cbar.ax.get_ylim()[::-1])\n",
    "cbar.set_label(\"Depth[km]\")\n",
    "\n",
    "ax.plot(station_df[\"x(km)\"], station_df[\"y(km)\"], \"r^\", ms=10, mew=1, mec=\"k\")\n",
    "ax.set_xlabel(\"Easting [km]\")\n",
    "ax.set_ylabel(\"Northing [km]\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b598ad17",
   "metadata": {
    "id": "b598ad17"
   },
   "source": [
    "As a last check, we manually inspect some events. The code block below selects a random event and plots the waveforms, together with the P (solid black lines) and S (dashed black lines). The x axis denotes the time, the y axis the hypocental distance between station and estimated event location. Therefore, we should see roughly a linear moveout. Run the cell a few times to see a few example events."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "01622b7c",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-07-12T14:19:40.044584Z",
     "start_time": "2023-07-12T14:19:39.858020Z"
    },
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 1000
    },
    "id": "01622b7c",
    "outputId": "45ff0bc8-53ae-4073-8ad8-4b4765e559bc"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Event information\n",
      "time            2014-10-25T14:57:33.037\n",
      "magnitude                           999\n",
      "sigma_time                     0.671454\n",
      "sigma_amp                             0\n",
      "cov_time_amp                          0\n",
      "gamma_score                    9.912444\n",
      "num_picks                             9\n",
      "num_p_picks                           0\n",
      "num_s_picks                           9\n",
      "event_index                           1\n",
      "x(km)                        592.231908\n",
      "y(km)                       5665.616811\n",
      "z(km)                              76.0\n",
      "Name: 2, dtype: object\n"
     ]
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1500x1000 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "event_idx = np.random.choice(catalog[\"event_index\"])\n",
    "event_picks = [picks[i] for i in assignments[assignments[\"event_idx\"] == event_idx][\"pick_idx\"]]\n",
    "event = catalog[catalog[\"event_index\"] == event_idx].iloc[0]\n",
    "\n",
    "first, last = min(pick.peak_time for pick in event_picks), max(pick.peak_time for pick in event_picks)\n",
    "\n",
    "sub = obspy.Stream()\n",
    "\n",
    "for station in np.unique([pick.trace_id for pick in event_picks]):\n",
    "    sub.append(stream.select(station=station[3:-1], channel=\"??1\")[0])\n",
    "\n",
    "sub = sub.slice(first - 5, last + 5)\n",
    "\n",
    "sub = sub.copy()\n",
    "sub.detrend()\n",
    "sub.filter(\"highpass\", freq=2)\n",
    "\n",
    "fig = plt.figure(figsize=(15, 10))\n",
    "ax = fig.add_subplot(111)\n",
    "\n",
    "for i, trace in enumerate(sub):\n",
    "    normed = trace.data - np.mean(trace.data)\n",
    "    normed = normed / np.max(np.abs(normed))\n",
    "    station_x, station_y = station_dict[trace.id[:-4]]\n",
    "    y = np.sqrt((station_x - event[\"x(km)\"]) ** 2 + (station_y - event[\"y(km)\"]) ** 2 + event[\"z(km)\"] ** 2)\n",
    "    ax.plot(trace.times(), 3 * normed + y)\n",
    "\n",
    "for pick in event_picks:\n",
    "    station_x, station_y = station_dict[pick.trace_id]\n",
    "    y = np.sqrt((station_x - event[\"x(km)\"]) ** 2 + (station_y - event[\"y(km)\"]) ** 2 + event[\"z(km)\"] ** 2)\n",
    "    x = pick.peak_time - trace.stats.starttime\n",
    "    if pick.phase == \"P\":\n",
    "        ls = '-'\n",
    "    else:\n",
    "        ls = '--'\n",
    "    ax.plot([x, x], [y - 2.5, y + 2.5], 'k', ls=ls)\n",
    "\n",
    "ax.set_ylim(0)\n",
    "ax.set_xlim(0, np.max(trace.times()))\n",
    "ax.set_ylabel(\"Hypocentral distance [km]\")\n",
    "ax.set_xlabel(\"Time [s]\")\n",
    "\n",
    "print(\"Event information\")\n",
    "print(event)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e0cf477a",
   "metadata": {
    "id": "e0cf477a"
   },
   "source": [
    "## Closing remarks\n",
    "\n",
    "In this tutorial, we saw how to quickly generate an event catalog from raw seismic waveforms and their metadata using SeisBench and the GaMMA associator.\n",
    "\n",
    "- We used a local coordinate projection for New Zealand for this tutorial. Depending on the region, you will need to choose a different projection.\n",
    "- Both the picker and the model have several tuning parameters. We tuned these parameters loosely, but we would like to make the reader aware that these parameters can have strong influence on the number of picks and events, the number of false positives, and the runtime performance of the associator.\n",
    "- While GaMMA outputs locations, these are only preliminary. In particular, there tend to be incorrectly located shallow detections. It is highly recommended to further improve these using a more advances tool for localization, e.g., NonLinLoc.\n",
    "\n",
    "This concludes our tutorial for PickBlue and SeisBench. To find out more about SeisBench, for example, how to compile datasets or train your own models, check out the repository at (https://github.com/seisbench/seisbench)."
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