{
  "id": 74532,
  "title": "Has anyone tried Healpix maps on this yet?",
  "url": "/competitions/PLAsTiCC-2018/discussion/74532",
  "author_name": "",
  "post_date": "2018-12-13T07:29:30.473951300Z",
  "votes": null,
  "comment_count": 4,
  "views": 0,
  "content": "<p>In my research with the Planck survey CMB data, we use a lot of visualization with <a href=\"https://github.com/healpy/healpy\">Healpy</a> (which is the Python version of <a href=\"https://healpix.jpl.nasa.gov/\">Healpix</a>). I was curious if someone had tried a similar approach here, or if the LSST maps are even Healpy readable.</p>\n\n<p>In particular, I would have loved to investigate the 5 high density spots that Henrique talks about in <a href=\"https://www.kaggle.com/hrmello/dataset-overview-exploration-and-comments\">https://www.kaggle.com/hrmello/dataset-overview-exploration-and-comments</a> </p>",
  "messages": [
    {
      "id": "438150",
      "postDate": "12/13/2018 07:29:30",
      "content": "<p>In my research with the Planck survey CMB data, we use a lot of visualization with <a href=\"https://github.com/healpy/healpy\">Healpy</a> (which is the Python version of <a href=\"https://healpix.jpl.nasa.gov/\">Healpix</a>). I was curious if someone had tried a similar approach here, or if the LSST maps are even Healpy readable.</p>\n\n<p>In particular, I would have loved to investigate the 5 high density spots that Henrique talks about in <a href=\"https://www.kaggle.com/hrmello/dataset-overview-exploration-and-comments\">https://www.kaggle.com/hrmello/dataset-overview-exploration-and-comments</a> </p>",
      "rawMarkdown": "In my research with the Planck survey CMB data, we use a lot of visualization with [Healpy][1] (which is the Python version of [Healpix][2]). I was curious if someone had tried a similar approach here, or if the LSST maps are even Healpy readable.\n\n In particular, I would have loved to investigate the 5 high density spots that Henrique talks about in https://www.kaggle.com/hrmello/dataset-overview-exploration-and-comments \n\n\n  [1]: https://github.com/healpy/healpy\n  [2]: https://healpix.jpl.nasa.gov/",
      "votes": null
    },
    {
      "id": "438160",
      "postDate": "12/13/2018 07:46:28",
      "content": "<p>Link is broken, remove trailing dot.</p>",
      "rawMarkdown": "Link is broken, remove trailing dot.",
      "votes": null
    },
    {
      "id": "438164",
      "postDate": "12/13/2018 07:49:30",
      "content": "<p>Done</p>",
      "rawMarkdown": "Done",
      "votes": null
    },
    {
      "id": "438433",
      "postDate": "12/13/2018 16:45:14",
      "content": "<p>I doubt that you will learn too much from this. The high density spots are the deep drilling fields. Those are small areas on the sky where LSST will take many exposures. The ddf label tells you if an exposure is in one of those areas. The data note that the organizers provided tells you all about it.</p>",
      "rawMarkdown": "I doubt that you will learn too much from this. The high density spots are the deep drilling fields. Those are small areas on the sky where LSST will take many exposures. The ddf label tells you if an exposure is in one of those areas. The data note that the organizers provided tells you all about it.",
      "votes": null
    },
    {
      "id": "438444",
      "postDate": "12/13/2018 17:15:12",
      "content": "<p>I see. It's a pity I got into this competition so late. I feel like i could've tried to contribute to some discussions. I work with galaxy clusters but this project isn't all that different. </p>",
      "rawMarkdown": "I see. It's a pity I got into this competition so late. I feel like i could've tried to contribute to some discussions. I work with galaxy clusters but this project isn't all that different.",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 438160,
      "author_name": "cpmpml",
      "author_url": "",
      "post_date": "12/13/2018 07:46:28",
      "content": "<p>Link is broken, remove trailing dot.</p>",
      "votes": null,
      "replies": [
        {
          "id": 438164,
          "author_name": "delayedkarma",
          "author_url": "",
          "post_date": "12/13/2018 07:49:30",
          "content": "<p>Done</p>",
          "votes": null,
          "replies": []
        }
      ]
    },
    {
      "id": 438433,
      "author_name": "kyleboone",
      "author_url": "",
      "post_date": "12/13/2018 16:45:14",
      "content": "<p>I doubt that you will learn too much from this. The high density spots are the deep drilling fields. Those are small areas on the sky where LSST will take many exposures. The ddf label tells you if an exposure is in one of those areas. The data note that the organizers provided tells you all about it.</p>",
      "votes": null,
      "replies": [
        {
          "id": 438444,
          "author_name": "delayedkarma",
          "author_url": "",
          "post_date": "12/13/2018 17:15:12",
          "content": "<p>I see. It's a pity I got into this competition so late. I feel like i could've tried to contribute to some discussions. I work with galaxy clusters but this project isn't all that different. </p>",
          "votes": null,
          "replies": []
        }
      ]
    }
  ],
  "raw_markdown_by_id": {
    "438150": "In my research with the Planck survey CMB data, we use a lot of visualization with [Healpy][1] (which is the Python version of [Healpix][2]). I was curious if someone had tried a similar approach here, or if the LSST maps are even Healpy readable.\n\n In particular, I would have loved to investigate the 5 high density spots that Henrique talks about in https://www.kaggle.com/hrmello/dataset-overview-exploration-and-comments \n\n\n  [1]: https://github.com/healpy/healpy\n  [2]: https://healpix.jpl.nasa.gov/",
    "438160": "Link is broken, remove trailing dot.",
    "438164": "Done",
    "438433": "I doubt that you will learn too much from this. The high density spots are the deep drilling fields. Those are small areas on the sky where LSST will take many exposures. The ddf label tells you if an exposure is in one of those areas. The data note that the organizers provided tells you all about it.",
    "438444": "I see. It's a pity I got into this competition so late. I feel like i could've tried to contribute to some discussions. I work with galaxy clusters but this project isn't all that different."
  },
  "source": "meta"
}