{
  "id": 58171,
  "title": "predict angle of incidence of hits from pixel cell detector?",
  "url": "/competitions/trackml-particle-identification/discussion/58171",
  "author_name": "",
  "post_date": "2018-06-03T20:02:37.222609Z",
  "votes": 1,
  "comment_count": 4,
  "views": 0,
  "content": "<p>Anyone has done experiments on using cells.csv to predict angle of incidence of hits from pixel cell detector?</p>",
  "messages": [
    {
      "id": "337816",
      "postDate": "06/03/2018 20:02:37",
      "content": "<p>Anyone has done experiments on using cells.csv to predict angle of incidence of hits from pixel cell detector?</p>",
      "rawMarkdown": "Anyone has done experiments on using cells.csv to predict angle of incidence of hits from pixel cell detector?",
      "votes": null
    },
    {
      "id": "337981",
      "postDate": "06/04/2018 06:54:24",
      "content": "<p>I'm also interested in this. In principle it's easy, but getting the cell coordinates is a hassle. The current information in cells.csv/detectors.zip/data description seems insufficient to reconstruct them.</p>",
      "rawMarkdown": "I'm also interested in this. In principle it's easy, but getting the cell coordinates is a hassle. The current information in cells.csv/detectors.zip/data description seems insufficient to reconstruct them.",
      "votes": null
    },
    {
      "id": "338000",
      "postDate": "06/04/2018 07:44:22",
      "content": "<p>i am thinking of  just leave everything to machine learning?</p>",
      "rawMarkdown": "i am thinking of  just leave everything to machine learning?",
      "votes": null
    },
    {
      "id": "338222",
      "postDate": "06/04/2018 16:52:43",
      "content": "<p>then can you know the cell global positions?</p>",
      "rawMarkdown": "then can you know the cell global positions?",
      "votes": null
    },
    {
      "id": "338223",
      "postDate": "06/04/2018 16:53:14",
      "content": "<p>Inspired by Andreas Salzburger's <a href=\"https://www.kaggle.com/asalzburger/pixel-detector-cells\">https://www.kaggle.com/asalzburger/pixel-detector-cells</a>, I've calculated the angles based on <em>cells.csv</em>:</p>\n\n<p><a href=\"https://www.kaggle.com/jakubguzowski/calculate-angle-of-incidence-based-on-cells-csv\">https://www.kaggle.com/jakubguzowski/calculate-angle-of-incidence-based-on-cells-csv</a></p>\n\n<p>I hope it's correct. Even the exact solution has some room for trial and error fitting, see the comments in the code.</p>",
      "rawMarkdown": "Inspired by Andreas Salzburger's https://www.kaggle.com/asalzburger/pixel-detector-cells, I've calculated the angles based on *cells\\.csv*:\n\nhttps://www.kaggle.com/jakubguzowski/calculate-angle-of-incidence-based-on-cells-csv\n\nI hope it's correct. Even the exact solution has some room for trial and error fitting, see the comments in the code.",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 337981,
      "author_name": "redstr",
      "author_url": "",
      "post_date": "06/04/2018 06:54:24",
      "content": "<p>I'm also interested in this. In principle it's easy, but getting the cell coordinates is a hassle. The current information in cells.csv/detectors.zip/data description seems insufficient to reconstruct them.</p>",
      "votes": null,
      "replies": [
        {
          "id": 338000,
          "author_name": "hengck23",
          "author_url": "",
          "post_date": "06/04/2018 07:44:22",
          "content": "<p>i am thinking of  just leave everything to machine learning?</p>",
          "votes": null,
          "replies": []
        },
        {
          "id": 338222,
          "author_name": "cosmojo",
          "author_url": "",
          "post_date": "06/04/2018 16:52:43",
          "content": "<p>then can you know the cell global positions?</p>",
          "votes": null,
          "replies": []
        }
      ]
    },
    {
      "id": 338223,
      "author_name": "jakubguzowski",
      "author_url": "",
      "post_date": "06/04/2018 16:53:14",
      "content": "<p>Inspired by Andreas Salzburger's <a href=\"https://www.kaggle.com/asalzburger/pixel-detector-cells\">https://www.kaggle.com/asalzburger/pixel-detector-cells</a>, I've calculated the angles based on <em>cells.csv</em>:</p>\n\n<p><a href=\"https://www.kaggle.com/jakubguzowski/calculate-angle-of-incidence-based-on-cells-csv\">https://www.kaggle.com/jakubguzowski/calculate-angle-of-incidence-based-on-cells-csv</a></p>\n\n<p>I hope it's correct. Even the exact solution has some room for trial and error fitting, see the comments in the code.</p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "337816": "Anyone has done experiments on using cells.csv to predict angle of incidence of hits from pixel cell detector?",
    "337981": "I'm also interested in this. In principle it's easy, but getting the cell coordinates is a hassle. The current information in cells.csv/detectors.zip/data description seems insufficient to reconstruct them.",
    "338000": "i am thinking of  just leave everything to machine learning?",
    "338222": "then can you know the cell global positions?",
    "338223": "Inspired by Andreas Salzburger's https://www.kaggle.com/asalzburger/pixel-detector-cells, I've calculated the angles based on *cells\\.csv*:\n\nhttps://www.kaggle.com/jakubguzowski/calculate-angle-of-incidence-based-on-cells-csv\n\nI hope it's correct. Even the exact solution has some room for trial and error fitting, see the comments in the code."
  },
  "source": "meta"
}