{"metadata":{"kernelspec":{"language":"python","display_name":"Python 3","name":"python3"},"language_info":{"pygments_lexer":"ipython3","nbconvert_exporter":"python","version":"3.6.4","file_extension":".py","codemirror_mode":{"name":"ipython","version":3},"name":"python","mimetype":"text/x-python"}},"nbformat_minor":4,"nbformat":4,"cells":[{"cell_type":"markdown","source":"# IceCube - Neutrinos in Deep Ice","metadata":{}},{"cell_type":"markdown","source":"The goal of this competition is to develop a model to predict a neutrino particle’s direction based on data from the \"IceCube\" detector.\nThe \"IceCube\" detector observes the cosmos from deep within the South Pole ice.\n\nThe work will help scientists better understand exploding stars, gamma-ray bursts, and cataclysmic phenomena involving black holes, neutron stars and the fundamental properties of the neutrino itself.\n\nThis notebook uses Polars to do fast eploratory data analysis.\nPolars is a DataFrame library written in Rust. It is based on Apache Arrow’s memory model and it is particulary efficient when dealing with very large dataframes as the one considered in this competation.\n\n**Work in progress**\n\nThe following notebook https://www.kaggle.com/code/jirkaborovec/icecube-neutrino-fitting-3d-points-cloud was helpfull\n\n","metadata":{}},{"cell_type":"markdown","source":"![neutrino.GIF](attachment:6133875e-c3a8-4db5-a8f0-0c37e298d1fc.GIF)","metadata":{},"attachments":{"6133875e-c3a8-4db5-a8f0-0c37e298d1fc.GIF":{"image/gif":"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"}}},{"cell_type":"markdown","source":"***","metadata":{}},{"cell_type":"markdown","source":"# Table of Contents:\n* **1. [Libraries](#Libraries)** <br>\n* **2. [Data Exploration](#Data_description)** <br>\n* 2.1 [Geometry](#Geometry) <br>\n* 2.2 [Training Data](#Training_data) <br>\n* 2.2 [Single event visualization](#Single_event) <br>\n* **3. [Baseline](#Baseline)** <br>","metadata":{}},{"cell_type":"markdown","source":"***","metadata":{}},{"cell_type":"markdown","source":"<a id=\"Libraries\"></a> <br> \n# **1. Libraries** ","metadata":{}},{"cell_type":"code","source":"!pip install /kaggle/input/polars/polars-0.16.11-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl","metadata":{"execution":{"iopub.status.busy":"2023-03-19T21:00:21.890219Z","iopub.execute_input":"2023-03-19T21:00:21.891312Z","iopub.status.idle":"2023-03-19T21:00:56.507071Z","shell.execute_reply.started":"2023-03-19T21:00:21.891204Z","shell.execute_reply":"2023-03-19T21:00:56.505579Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"import numpy as np # linear algebra\nimport pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)\nimport os\nimport plotly.express as px #graphing\nimport plotly.graph_objects as go\nimport matplotlib.pyplot as plt\nimport polars as pl\nimport math\nfrom scipy.optimize import curve_fit\nfrom sklearn.decomposition import PCA","metadata":{"execution":{"iopub.status.busy":"2023-03-19T21:00:56.509403Z","iopub.execute_input":"2023-03-19T21:00:56.510359Z","iopub.status.idle":"2023-03-19T21:00:58.332640Z","shell.execute_reply.started":"2023-03-19T21:00:56.510320Z","shell.execute_reply":"2023-03-19T21:00:58.331692Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"***","metadata":{}},{"cell_type":"markdown","source":"<a id=\"Data_description\"></a> <br> \n# **2. Data description** ","metadata":{}},{"cell_type":"markdown","source":"<a id=\"Geometry\"></a> <br> \n# **2.1 Geometry** ","metadata":{}},{"cell_type":"markdown","source":"The file **sensor_geometry.csv** contains x, y, and z positions for each of the 5160 IceCube sensors. The row index corresponds to the sensor_idx feature of pulses. The x, y, and z coordinates are in units of meters, with the origin at the center of the IceCube detector. The coordinate system is right-handed, and the z-axis points upwards when standing at the South Pole.","metadata":{}},{"cell_type":"code","source":"# sensor geometry\ngeometry = pl.read_csv('../input/icecube-neutrinos-in-deep-ice/sensor_geometry.csv')","metadata":{"execution":{"iopub.status.busy":"2023-03-19T21:00:58.333755Z","iopub.execute_input":"2023-03-19T21:00:58.334119Z","iopub.status.idle":"2023-03-19T21:00:58.349115Z","shell.execute_reply.started":"2023-03-19T21:00:58.334089Z","shell.execute_reply":"2023-03-19T21:00:58.347764Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"geometry.head()","metadata":{"execution":{"iopub.status.busy":"2023-03-19T21:00:58.352348Z","iopub.execute_input":"2023-03-19T21:00:58.354136Z","iopub.status.idle":"2023-03-19T21:00:58.364229Z","shell.execute_reply.started":"2023-03-19T21:00:58.354086Z","shell.execute_reply":"2023-03-19T21:00:58.363268Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"fig = px.scatter_3d(geometry.to_pandas(), x = \"x\", y = \"y\", z = \"z\", opacity = 0.8, color = \"z\")\n\nfig.update_traces(marker = dict(size = 2, symbol = \"diamond-open\"))\nfig.update_coloraxes(showscale = False)\nfig.update_layout(template = \"plotly_dark\", font = dict(family = \"PT Sans\", size = 12, color = \"#97FFFF\"))\nfig.show()","metadata":{"execution":{"iopub.status.busy":"2023-03-19T21:00:58.366251Z","iopub.execute_input":"2023-03-19T21:00:58.366587Z","iopub.status.idle":"2023-03-19T21:00:59.699133Z","shell.execute_reply.started":"2023-03-19T21:00:58.366559Z","shell.execute_reply":"2023-03-19T21:00:59.698310Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"> <a id=\"Training_data\"></a> <br> \n# **2.2 Training data** ","metadata":{}},{"cell_type":"markdown","source":"The file **[train/test]_meta.parquet** contains:\n\n**batch_id** (int): the ID of the batch the event was placed into.\n\n**event_id** (int): the event ID.\n\n**[first/last]_pulse_index** (int): index of the first/last row in the features dataframe belonging to this event.\n\n**[azimuth/zenith]** (float32): the [azimuth/zenith] angle in radians of the neutrino. A value between 0 and 2*pi for the azimuth and 0 and pi for zenith.The target columns. Not provided for the test set. The direction vector represented by zenith and azimuth points to where the neutrino came from.\n\nNB: Other quantities regarding the event, such as the interaction point in x, y, z (vertex position), the neutrino energy, or the interaction type and kinematics are not included in the dataset.","metadata":{}},{"cell_type":"code","source":"%%time\ntrain_meta = pl.read_parquet('../input/icecube-neutrinos-in-deep-ice/train_meta.parquet')","metadata":{"execution":{"iopub.status.busy":"2023-03-19T21:00:59.700509Z","iopub.execute_input":"2023-03-19T21:00:59.701046Z","iopub.status.idle":"2023-03-19T21:01:23.031336Z","shell.execute_reply.started":"2023-03-19T21:00:59.701003Z","shell.execute_reply":"2023-03-19T21:01:23.030072Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"train_meta.head()","metadata":{"execution":{"iopub.status.busy":"2023-03-19T21:01:23.032998Z","iopub.execute_input":"2023-03-19T21:01:23.034033Z","iopub.status.idle":"2023-03-19T21:01:23.048366Z","shell.execute_reply.started":"2023-03-19T21:01:23.033986Z","shell.execute_reply":"2023-03-19T21:01:23.046778Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"Show number of events in batch","metadata":{}},{"cell_type":"code","source":"plt.figure(figsize=(10, 6))\nplt.hist(train_meta.groupby(\"batch_id\").count().select(\"count\"), bins=50)\nplt.xlabel(\"nb. events per batch\"), plt.ylabel(\"frequency\")\nplt.grid()","metadata":{"execution":{"iopub.status.busy":"2023-03-19T21:01:23.050100Z","iopub.execute_input":"2023-03-19T21:01:23.050613Z","iopub.status.idle":"2023-03-19T21:01:25.178356Z","shell.execute_reply.started":"2023-03-19T21:01:23.050577Z","shell.execute_reply":"2023-03-19T21:01:25.177229Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"Almost all batches contain 200000 events","metadata":{}},{"cell_type":"code","source":"train_meta = train_meta.with_columns([\n    (pl.col('last_pulse_index') - pl.col('first_pulse_index')).alias(\"pulse_length\")\n])","metadata":{"execution":{"iopub.status.busy":"2023-03-19T21:01:25.179663Z","iopub.execute_input":"2023-03-19T21:01:25.180000Z","iopub.status.idle":"2023-03-19T21:01:27.490415Z","shell.execute_reply.started":"2023-03-19T21:01:25.179971Z","shell.execute_reply":"2023-03-19T21:01:27.489380Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"train_meta.head()","metadata":{"execution":{"iopub.status.busy":"2023-03-19T21:01:27.494124Z","iopub.execute_input":"2023-03-19T21:01:27.494474Z","iopub.status.idle":"2023-03-19T21:01:27.502917Z","shell.execute_reply.started":"2023-03-19T21:01:27.494445Z","shell.execute_reply":"2023-03-19T21:01:27.501749Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"plt.figure(figsize=(10, 6))\nplt.hist(train_meta[\"pulse_length\"], bins=50)\nplt.xlabel(\"nb pulses per event\"), plt.ylabel(\"frequency\")\nplt.grid()","metadata":{"execution":{"iopub.status.busy":"2023-03-19T21:01:27.504923Z","iopub.execute_input":"2023-03-19T21:01:27.505739Z","iopub.status.idle":"2023-03-19T21:01:30.312135Z","shell.execute_reply.started":"2023-03-19T21:01:27.505694Z","shell.execute_reply":"2023-03-19T21:01:30.310912Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"Zoom on x an y axis","metadata":{}},{"cell_type":"code","source":"plt.figure(figsize=(10, 6))\nplt.hist(train_meta[\"pulse_length\"], bins=100)\nplt.xlabel(\"nb pulses per event\"), plt.ylabel(\"frequency\")\nplt.grid()\nplt.xlim([0, 10000])\nplt.ylim([0, 1e6])","metadata":{"execution":{"iopub.status.busy":"2023-03-19T21:01:30.313719Z","iopub.execute_input":"2023-03-19T21:01:30.314725Z","iopub.status.idle":"2023-03-19T21:01:33.203558Z","shell.execute_reply.started":"2023-03-19T21:01:30.314687Z","shell.execute_reply":"2023-03-19T21:01:33.202068Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"Show azimuth and zenith of events","metadata":{}},{"cell_type":"code","source":"plt.figure(figsize=(10, 6))\nplt.hist(train_meta['azimuth'], bins=50)\nplt.xlabel(\"bins\"), plt.ylabel(\"frequency azimuth angle\")\nplt.grid()","metadata":{"execution":{"iopub.status.busy":"2023-03-19T21:01:33.205193Z","iopub.execute_input":"2023-03-19T21:01:33.205663Z","iopub.status.idle":"2023-03-19T21:01:38.867642Z","shell.execute_reply.started":"2023-03-19T21:01:33.205621Z","shell.execute_reply":"2023-03-19T21:01:38.866113Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"plt.figure(figsize=(10, 6))\nplt.hist(train_meta['zenith'], bins=50)\nplt.xlabel(\"bins\"), plt.ylabel(\"frequency zenith angles\")\nplt.grid()","metadata":{"execution":{"iopub.status.busy":"2023-03-19T21:01:38.869291Z","iopub.execute_input":"2023-03-19T21:01:38.869736Z","iopub.status.idle":"2023-03-19T21:01:46.639323Z","shell.execute_reply.started":"2023-03-19T21:01:38.869700Z","shell.execute_reply":"2023-03-19T21:01:46.633101Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"# let's plot zenith vs azimuth (limit the plot to some components for visualization purposes)\nplt.figure(figsize=(10, 6))\n#ax1 = train_meta.to_pandas()[0:1000].plot.scatter(x='zenith', y='azimuth',c='DarkBlue')\nplt.scatter(train_meta[0:10000]['zenith'], train_meta[0:10000]['azimuth'])\nplt.xlabel(\"zenith\"), plt.ylabel(\"azimuth\")\nplt.grid()","metadata":{"execution":{"iopub.status.busy":"2023-03-19T21:01:46.647611Z","iopub.execute_input":"2023-03-19T21:01:46.650321Z","iopub.status.idle":"2023-03-19T21:01:47.694028Z","shell.execute_reply.started":"2023-03-19T21:01:46.650105Z","shell.execute_reply":"2023-03-19T21:01:47.692913Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"### Analyze first training batch","metadata":{}},{"cell_type":"markdown","source":"The file **[train/test]/batch_[n].parquet** contains tens of thousands of events. Each event may contain thousands of pulses, each of which is the digitized output from a photomultiplier tube and occupies one row.\n\n**event_id** (int): the event ID. Saved as the index column in parquet.\n\n**time** (int): the time of the pulse in nanoseconds in the current event time window. The absolute time of a pulse has no relevance, and only the relative time with respect to other pulses within an event is of relevance.\n\n**sensor_id** (int): the ID of which of the 5160 IceCube photomultiplier sensors recorded this pulse.\n\n***charge** (float32): An estimate of the amount of light in the pulse, in units of photoelectrons (p.e.). A physical photon does not exactly result in a measurement of 1 p.e. but rather can take values spread around 1 p.e. As an example, a pulse with charge 2.7 p.e. could quite likely be the result of two or three photons hitting the photomultiplier tube around the same time. This data has float16 precision but is stored as float32 due to limitations of the version of pyarrow the data was prepared with.\n\n**auxiliary** (bool): If True, the pulse was not fully digitized, is of lower quality, and was more likely to originate from noise. If False, then this pulse was contributed to the trigger decision and the pulse was fully digitized.","metadata":{}},{"cell_type":"code","source":"print(\"Number of available train batches files:\", len(os.listdir('../input/icecube-neutrinos-in-deep-ice/train/')))","metadata":{"execution":{"iopub.status.busy":"2023-03-19T21:01:47.695924Z","iopub.execute_input":"2023-03-19T21:01:47.696667Z","iopub.status.idle":"2023-03-19T21:01:47.750288Z","shell.execute_reply.started":"2023-03-19T21:01:47.696618Z","shell.execute_reply":"2023-03-19T21:01:47.748877Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"Let's consider the first batch to create some visualizations","metadata":{}},{"cell_type":"code","source":"%%time\nnb = 1\nbatch_1 = pl.read_parquet(f'../input/icecube-neutrinos-in-deep-ice/train/batch_{nb}.parquet')","metadata":{"execution":{"iopub.status.busy":"2023-03-19T21:01:47.751631Z","iopub.execute_input":"2023-03-19T21:01:47.752538Z","iopub.status.idle":"2023-03-19T21:01:50.569160Z","shell.execute_reply.started":"2023-03-19T21:01:47.752505Z","shell.execute_reply":"2023-03-19T21:01:50.567450Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"batch_1.shape","metadata":{"execution":{"iopub.status.busy":"2023-03-19T21:01:50.571317Z","iopub.execute_input":"2023-03-19T21:01:50.572436Z","iopub.status.idle":"2023-03-19T21:01:50.583275Z","shell.execute_reply.started":"2023-03-19T21:01:50.572390Z","shell.execute_reply":"2023-03-19T21:01:50.581872Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"batch_1.head()","metadata":{"execution":{"iopub.status.busy":"2023-03-19T21:01:50.585169Z","iopub.execute_input":"2023-03-19T21:01:50.585749Z","iopub.status.idle":"2023-03-19T21:01:50.615435Z","shell.execute_reply.started":"2023-03-19T21:01:50.585707Z","shell.execute_reply":"2023-03-19T21:01:50.614041Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"batch_1.describe()","metadata":{"execution":{"iopub.status.busy":"2023-03-19T21:01:50.618330Z","iopub.execute_input":"2023-03-19T21:01:50.619213Z","iopub.status.idle":"2023-03-19T21:01:54.033461Z","shell.execute_reply.started":"2023-03-19T21:01:50.619155Z","shell.execute_reply":"2023-03-19T21:01:54.032390Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"> <a id=\"Single_event_visualization\"></a> <br> \n# **2.3 Single event** ","metadata":{}},{"cell_type":"code","source":"# visualize an event","metadata":{"execution":{"iopub.status.busy":"2023-03-19T21:01:54.035415Z","iopub.execute_input":"2023-03-19T21:01:54.036225Z","iopub.status.idle":"2023-03-19T21:01:54.042078Z","shell.execute_reply.started":"2023-03-19T21:01:54.036178Z","shell.execute_reply":"2023-03-19T21:01:54.040278Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"# Let's visualize event 24 trajector\nevent_idx = 24","metadata":{"execution":{"iopub.status.busy":"2023-03-19T21:01:54.045167Z","iopub.execute_input":"2023-03-19T21:01:54.046506Z","iopub.status.idle":"2023-03-19T21:01:54.056461Z","shell.execute_reply.started":"2023-03-19T21:01:54.046459Z","shell.execute_reply":"2023-03-19T21:01:54.055437Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"# get first and last pulse from training meta\nevent_df = batch_1[train_meta.filter(pl.col(\"event_id\") == event_idx)['first_pulse_index'][0]:train_meta.filter(pl.col(\"event_id\") == event_idx)['last_pulse_index'][0]]","metadata":{"execution":{"iopub.status.busy":"2023-03-19T21:01:54.058584Z","iopub.execute_input":"2023-03-19T21:01:54.059489Z","iopub.status.idle":"2023-03-19T21:02:03.009304Z","shell.execute_reply.started":"2023-03-19T21:01:54.059440Z","shell.execute_reply":"2023-03-19T21:02:03.007941Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"event_df.head()","metadata":{"execution":{"iopub.status.busy":"2023-03-19T21:02:03.013596Z","iopub.execute_input":"2023-03-19T21:02:03.014013Z","iopub.status.idle":"2023-03-19T21:02:03.024269Z","shell.execute_reply.started":"2023-03-19T21:02:03.013965Z","shell.execute_reply":"2023-03-19T21:02:03.023100Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"# concatenate the two dataframes\nevent_df = pl.concat(\n    [\n        event_df,\n        geometry[event_df['sensor_id']][['x', 'y', 'z']],\n    ],\n    how=\"horizontal\",\n)","metadata":{"execution":{"iopub.status.busy":"2023-03-19T21:02:03.025798Z","iopub.execute_input":"2023-03-19T21:02:03.026929Z","iopub.status.idle":"2023-03-19T21:02:03.053695Z","shell.execute_reply.started":"2023-03-19T21:02:03.026879Z","shell.execute_reply":"2023-03-19T21:02:03.052758Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"event_df.head()","metadata":{"execution":{"iopub.status.busy":"2023-03-19T21:02:03.055262Z","iopub.execute_input":"2023-03-19T21:02:03.055893Z","iopub.status.idle":"2023-03-19T21:02:03.069109Z","shell.execute_reply.started":"2023-03-19T21:02:03.055837Z","shell.execute_reply":"2023-03-19T21:02:03.068354Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"# let's prepare the trajectory\nzenith_target = train_meta.filter(pl.col('event_id') == event_idx)['zenith'].to_numpy()\nazimuth_target = train_meta.filter(pl.col('event_id') == event_idx)['azimuth'].to_numpy()\n\nvector_target = [np.cos(azimuth_target) * np.sin(zenith_target), np.sin(azimuth_target) * np.sin(zenith_target),\n                 np.cos(zenith_target)]\nvector_base = np.array([-500, 500])\nx = vector_base*vector_target[0]\ny = vector_base*vector_target[1]\nz = vector_base*vector_target[2]\nvector_target_df = pd.DataFrame({'x': x, 'y': y, 'z': z})\nvector_target_df.head()","metadata":{"execution":{"iopub.status.busy":"2023-03-19T21:02:03.070709Z","iopub.execute_input":"2023-03-19T21:02:03.071061Z","iopub.status.idle":"2023-03-19T21:02:08.915578Z","shell.execute_reply.started":"2023-03-19T21:02:03.071029Z","shell.execute_reply":"2023-03-19T21:02:08.914362Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"# let's plot separatly: auxiliary points, non auxiliary and direction line of the event\nfig_auxiliary = px.scatter_3d(event_df.filter(event_df['auxiliary']).to_pandas(),\n                              x='x', y='y', z='z', opacity=0.9, color_discrete_sequence=['red'])\nfig_non_auxiliary = px.scatter_3d(event_df.filter(~event_df['auxiliary']).to_pandas(),\n                              x='x', y='y', z='z', opacity=0.9, color_discrete_sequence=['yellow'])\nfig_line = px.line_3d(vector_target_df, x=\"x\", y=\"y\", z=\"z\")\n\n\nfig_auxiliary.update_traces(marker_size=2)\nfig_non_auxiliary.update_traces(marker_size=2)\n\n# sum the 3 graphs\nfig = go.Figure(data = fig_auxiliary.data + fig_non_auxiliary.data + fig_line.data)\n# increase all marker size\nfig.update_traces(marker_size = 3)\nfig.update_layout(template = \"plotly_dark\", font = dict(family = \"PT Sans\", size = 12, color = \"#97FFFF\"))\nfig.show()","metadata":{"execution":{"iopub.status.busy":"2023-03-19T21:02:08.924583Z","iopub.execute_input":"2023-03-19T21:02:08.925917Z","iopub.status.idle":"2023-03-19T21:02:09.152971Z","shell.execute_reply.started":"2023-03-19T21:02:08.925860Z","shell.execute_reply":"2023-03-19T21:02:09.152028Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"# include geometry\nfig_geometry = px.scatter_3d(geometry.to_pandas(), x = \"x\", y = \"y\", z = \"z\", opacity = 0.2, color = \"z\")\nfig_geometry.update_traces(marker = dict(size = 2, symbol = \"diamond-open\"))\n#fig_geometry.update_coloraxes(showscale = False)\n\nfig = go.Figure(data = fig_auxiliary.data + fig_non_auxiliary.data + fig_line.data+fig_geometry.data)\nfig.update_layout(template = \"plotly_dark\", font = dict(family = \"PT Sans\", size = 12, color = \"#97FFFF\"))\nfig.show()","metadata":{"execution":{"iopub.status.busy":"2023-03-19T21:02:09.154106Z","iopub.execute_input":"2023-03-19T21:02:09.155038Z","iopub.status.idle":"2023-03-19T21:02:09.252760Z","shell.execute_reply.started":"2023-03-19T21:02:09.155003Z","shell.execute_reply":"2023-03-19T21:02:09.251967Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"<a id=\"Baseline\"></a> <br> \n# **3. Baseline** ","metadata":{}},{"cell_type":"markdown","source":"Before preparing a baseline model let's look also to sample_submission and test data","metadata":{}},{"cell_type":"code","source":"%%time\nsample_submission = pl.read_parquet('../input/icecube-neutrinos-in-deep-ice/sample_submission.parquet')\nsample_submission.head()","metadata":{"execution":{"iopub.status.busy":"2023-03-19T21:02:09.254214Z","iopub.execute_input":"2023-03-19T21:02:09.254784Z","iopub.status.idle":"2023-03-19T21:02:09.268984Z","shell.execute_reply.started":"2023-03-19T21:02:09.254750Z","shell.execute_reply":"2023-03-19T21:02:09.267875Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"%%time\ntest_meta = pl.read_parquet('../input/icecube-neutrinos-in-deep-ice/test_meta.parquet')\ntest_meta.head()","metadata":{"execution":{"iopub.status.busy":"2023-03-19T21:02:09.272467Z","iopub.execute_input":"2023-03-19T21:02:09.272839Z","iopub.status.idle":"2023-03-19T21:02:09.286655Z","shell.execute_reply.started":"2023-03-19T21:02:09.272793Z","shell.execute_reply":"2023-03-19T21:02:09.285324Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"For each of the event ID in the test meta dataframe we will need to predict its azimuth and zenith and store them in the format provided in the sample_submission file","metadata":{}},{"cell_type":"code","source":"%%time\nnb = 661\ntest_batch = pl.read_parquet(f'../input/icecube-neutrinos-in-deep-ice/test/batch_{nb}.parquet')","metadata":{"execution":{"iopub.status.busy":"2023-03-19T21:02:09.288622Z","iopub.execute_input":"2023-03-19T21:02:09.289107Z","iopub.status.idle":"2023-03-19T21:02:09.300341Z","shell.execute_reply.started":"2023-03-19T21:02:09.289064Z","shell.execute_reply":"2023-03-19T21:02:09.299181Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"test_batch.shape","metadata":{"execution":{"iopub.status.busy":"2023-03-19T21:02:09.301712Z","iopub.execute_input":"2023-03-19T21:02:09.302368Z","iopub.status.idle":"2023-03-19T21:02:09.310985Z","shell.execute_reply.started":"2023-03-19T21:02:09.302323Z","shell.execute_reply":"2023-03-19T21:02:09.309627Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"test_batch.head()","metadata":{"execution":{"iopub.status.busy":"2023-03-19T21:02:09.312199Z","iopub.execute_input":"2023-03-19T21:02:09.314071Z","iopub.status.idle":"2023-03-19T21:02:09.321724Z","shell.execute_reply.started":"2023-03-19T21:02:09.314032Z","shell.execute_reply":"2023-03-19T21:02:09.320627Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"We will fit a simple linear model for each event\n\n$ r = r_{0} + v_{0} *t $\n\nwhere:\n\n- $ r = [x, y, z] $\n\n- t time vector\n\n- $r_{0}$ and $v_{0}$ initial position and velocity\n\nThe azimuth and zenith are then calculated from the normalized vector:\n\n$\nzenith = acos(z_{norm})\n$\n\n$\nazimuth = atan(y_{norm}, x_{norm})\n$\n\nwere $r_{norm}=[x_{norm}, y_{norm}, z_{norm}] = [x, y, z]/\\sqrt(x^2+y^2+z^2)$","metadata":{}},{"cell_type":"code","source":"# if nb of filtered pulses < threshold consider also auxiliary pulses\nTHRESHOLD = 5\nUSE_AUXILIARY = False\n\n# Get an event\ndef get_event(batch, event_idx, geometry, test_meta):\n    # get first and last pulse from training meta\n    event_df = batch[test_meta.filter(pl.col(\"event_id\") == event_idx)['first_pulse_index'][0]:test_meta.filter(pl.col(\"event_id\") == event_idx)['last_pulse_index'][0]]\n    if not USE_AUXILIARY:\n        filtered_df = event_df.filter(pl.col('auxiliary') == False)\n    else:\n        filtered_df = event_df\n    if len(filtered_df) < THRESHOLD:\n        filtered_df = event_df\n    #filtered_df = event_df\n    # concatenate the two dataframes\n    filtered_df = pl.concat(\n        [\n            filtered_df,\n            geometry[filtered_df['sensor_id']][['x', 'y', 'z']],\n        ],\n        how=\"horizontal\",\n    )\n    return filtered_df\n\n# objective function\ndef objective(t, r, v):\n    return r + v*t\n\n# predict azimuth and zenith for an event\ndef predict(event_df):\n    auxiliary = event_df['auxiliary'].to_numpy()\n    #x = event_df['x'].to_numpy()[~auxiliary]\n    x = event_df['x'].to_numpy()\n    y = event_df['y'].to_numpy()\n    z = event_df['z'].to_numpy()\n    t = event_df['time'].to_numpy()\n    charge = event_df['charge'].to_numpy()\n    charge = charge/charge.max()\n    \n    params_x, _ = curve_fit(objective, t, x, sigma=charge)\n    params_y, _ = curve_fit(objective, t, y, sigma=charge)\n    params_z, _ = curve_fit(objective, t, z, sigma=charge)\n    \n    x_pred = params_x[0] + params_x[1]*t[0]\n    y_pred = params_y[0] + params_y[1]*t[0]\n    z_pred = params_z[0] + params_z[1]*t[0]\n\n    direction = -1*np.array([params_x[1], params_y[1], params_z[1]])\n    \n    azimuth, zenith = adjust_sphere(*cartesian_to_sphere(*direction))\n\n    return (azimuth, zenith)\n\ndef cartesian_to_sphere(x, y, z):\n    x2y2 = x**2 + y**2\n    r = math.sqrt(x2y2 + z**2)\n    azimuth = math.acos(x / math.sqrt(x2y2)) * np.sign(y)\n    zenith = math.acos(z / r)\n    return azimuth, zenith\n\ndef adjust_sphere(azimuth, zenith):\n    if zenith < 0:\n        zenith += math.pi\n        azimuth += math.pi\n    if azimuth < 0:\n        azimuth += math.pi * 2\n    azimuth = azimuth % (2 * math.pi)\n    return azimuth, zenith","metadata":{"execution":{"iopub.status.busy":"2023-03-19T21:18:09.997266Z","iopub.execute_input":"2023-03-19T21:18:09.998016Z","iopub.status.idle":"2023-03-19T21:18:10.015319Z","shell.execute_reply.started":"2023-03-19T21:18:09.997979Z","shell.execute_reply":"2023-03-19T21:18:10.014003Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"def predict_dataframe(data_type, dataframe, nb_batches=None, nb_events=None):\n    predictions = []\n    count = 0\n    for batch_id in dataframe['batch_id'].unique():\n        #print(batch_id)\n        if nb_batches and count > nb_batches:\n            break\n        test_meta_batch = dataframe.filter(pl.col('batch_id') == batch_id)\n        test_batch = pl.read_parquet(f'../input/icecube-neutrinos-in-deep-ice/{data_type}/batch_{batch_id}.parquet')\n        event_count = 0\n        for event_idx in test_meta_batch['event_id']:\n            #print(event_idx)\n            if nb_events and event_count > nb_events:\n                break\n            event_df = get_event(test_batch, event_idx, geometry, test_meta_batch)\n            #try:\n            azimuth, zenith = predict(event_df)\n            #except:\n            #    azimuth, zenith = 0., 0.\n            predictions.append([event_idx, azimuth, zenith])\n            event_count = event_count + 1\n        count = count + 1\n\n    submission = pl.DataFrame(predictions, schema={\"event_id\": pl.Int64, \"azimuth\": pl.Float64, \"zenith\": pl.Float64 })\n    return submission","metadata":{"execution":{"iopub.status.busy":"2023-03-19T21:18:10.566618Z","iopub.execute_input":"2023-03-19T21:18:10.567083Z","iopub.status.idle":"2023-03-19T21:18:10.577230Z","shell.execute_reply.started":"2023-03-19T21:18:10.567049Z","shell.execute_reply":"2023-03-19T21:18:10.575915Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"# function to evaluate results\n\ndef angular_dist_score(az_true, zen_true, az_pred, zen_pred):\n    '''\n    calculate the MAE of the angular distance between two directions.\n    The two vectors are first converted to cartesian unit vectors,\n    and then their scalar product is computed, which is equal to\n    the cosine of the angle between the two vectors. The inverse \n    cosine (arccos) thereof is then the angle between the two input vectors\n    \n    Parameters:\n    -----------\n    \n    az_true : float (or array thereof)\n        true azimuth value(s) in radian\n    zen_true : float (or array thereof)\n        true zenith value(s) in radian\n    az_pred : float (or array thereof)\n        predicted azimuth value(s) in radian\n    zen_pred : float (or array thereof)\n        predicted zenith value(s) in radian\n    \n    Returns:\n    --------\n    \n    dist : float\n        mean over the angular distance(s) in radian\n    '''\n    \n    if not (np.all(np.isfinite(az_true)) and\n        np.all(np.isfinite(zen_true)) and\n        np.all(np.isfinite(az_pred)) and\n        np.all(np.isfinite(zen_pred))):\n        raise ValueError(\"All arguments must be finite\")\n    \n    # pre-compute all sine and cosine values\n    sa1 = np.sin(az_true)\n    ca1 = np.cos(az_true)\n    sz1 = np.sin(zen_true)\n    cz1 = np.cos(zen_true)\n    \n    sa2 = np.sin(az_pred)\n    ca2 = np.cos(az_pred)\n    sz2 = np.sin(zen_pred)\n    cz2 = np.cos(zen_pred)\n    \n    # scalar product of the two cartesian vectors (x = sz*ca, y = sz*sa, z = cz)\n    scalar_prod = sz1*sz2*(ca1*ca2 + sa1*sa2) + (cz1*cz2)\n    \n    # scalar product of two unit vectors is always between -1 and 1, this is against nummerical instability\n    # that might otherwise occure from the finite precision of the sine and cosine functions\n    scalar_prod =  np.clip(scalar_prod, -1, 1)\n    \n    # convert back to an angle (in radian)\n    return np.average(np.abs(np.arccos(scalar_prod)))","metadata":{"execution":{"iopub.status.busy":"2023-03-19T21:18:11.117407Z","iopub.execute_input":"2023-03-19T21:18:11.117839Z","iopub.status.idle":"2023-03-19T21:18:11.128340Z","shell.execute_reply.started":"2023-03-19T21:18:11.117792Z","shell.execute_reply":"2023-03-19T21:18:11.127042Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"Test predictions over training set (we will limit predictions to speed up the test)","metadata":{}},{"cell_type":"code","source":"%%time\ntrain_example = predict_dataframe(\"train\", train_meta, nb_batches=1, nb_events=300)","metadata":{"execution":{"iopub.status.busy":"2023-03-19T21:18:16.678978Z","iopub.execute_input":"2023-03-19T21:18:16.679394Z","iopub.status.idle":"2023-03-19T21:18:29.501783Z","shell.execute_reply.started":"2023-03-19T21:18:16.679363Z","shell.execute_reply":"2023-03-19T21:18:29.500591Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"train_example.head()","metadata":{"execution":{"iopub.status.busy":"2023-03-19T21:18:50.286931Z","iopub.execute_input":"2023-03-19T21:18:50.287351Z","iopub.status.idle":"2023-03-19T21:18:50.295509Z","shell.execute_reply.started":"2023-03-19T21:18:50.287320Z","shell.execute_reply":"2023-03-19T21:18:50.294108Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"Evaluate results over training set by calculating angular distance","metadata":{}},{"cell_type":"code","source":"labels = train_meta[0:len(train_example)]\nscore = angular_dist_score(train_example['azimuth'].to_numpy(),\n                           train_example['zenith'].to_numpy(),\n                           labels['azimuth'].to_numpy(),\n                           labels['zenith'].to_numpy())\nprint(\"Score over train set\", score)","metadata":{"execution":{"iopub.status.busy":"2023-03-19T21:19:00.697395Z","iopub.execute_input":"2023-03-19T21:19:00.697885Z","iopub.status.idle":"2023-03-19T21:19:00.707517Z","shell.execute_reply.started":"2023-03-19T21:19:00.697846Z","shell.execute_reply":"2023-03-19T21:19:00.705616Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"Predict over test set and submit","metadata":{}},{"cell_type":"code","source":"%%time\nsubmission = predict_dataframe(\"test\", test_meta)","metadata":{"execution":{"iopub.status.busy":"2023-03-19T21:19:02.451041Z","iopub.execute_input":"2023-03-19T21:19:02.451448Z","iopub.status.idle":"2023-03-19T21:19:02.472552Z","shell.execute_reply.started":"2023-03-19T21:19:02.451417Z","shell.execute_reply":"2023-03-19T21:19:02.471314Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"submission.write_csv('submission.csv')\nsubmission.head()","metadata":{"execution":{"iopub.status.busy":"2023-03-19T21:02:20.799644Z","iopub.execute_input":"2023-03-19T21:02:20.800067Z","iopub.status.idle":"2023-03-19T21:02:20.816875Z","shell.execute_reply.started":"2023-03-19T21:02:20.800031Z","shell.execute_reply":"2023-03-19T21:02:20.815710Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"","metadata":{},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"","metadata":{},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"","metadata":{},"execution_count":null,"outputs":[]}]}