{
  "id": 542475,
  "title": "AIRS cut to 282",
  "url": "/competitions/ariel-data-challenge-2024/discussion/542475",
  "author_name": "Maciej J Mikulski",
  "post_date": "2024-10-25T02:40:56.198000",
  "votes": 0,
  "comment_count": 2,
  "views": 0,
  "content": "<p>Help me understand that: </p>\n<blockquote>\n  <p>The observations are binned in time by group of 30 frames for AIRS and 360 frames for FGS1, to obtain a lighter data-cube, easier to use. The images are cut along the wavelength axis between pixels 39 and 321, so that the 282 pixels left in the wavelength dimension match the last 282 targets' points, from AIRS. </p>\n</blockquote>\n<ol>\n<li>Does it mean that this data before 38 and after 321 are useless? Or they can have some applications?</li>\n</ol>\n<blockquote>\n  <p>The 283rd targets' point is the one for FGS1 that will be added later on.</p>\n</blockquote>\n<ol>\n<li>So whole FGS is only for one single channel with this ~700nm spectrum, and what is really important is only infrared that is contained AIRS, right? </li>\n</ol>",
  "messages": [
    {
      "id": 3028094,
      "postDate": "2024-10-25T16:02:53.817Z",
      "content": "<p>The data is not completely useless, you can use it to help denoise other wavelengths, although they are very noisy themselves, so use it wisely. But I suspect most teams do not use it. Regarding FGS yes it's not that important but again, if you're working with a multivariate model, FGS can correlate with other frequencies.</p>",
      "rawMarkdown": "The data is not completely useless, you can use it to help denoise other wavelengths, although they are very noisy themselves, so use it wisely. But I suspect most teams do not use it. Regarding FGS yes it's not that important but again, if you're working with a multivariate model, FGS can correlate with other frequencies.",
      "votes": 3,
      "replies": [
        {
          "id": 3028260,
          "postDate": "2024-10-25T19:02:44.400Z",
          "content": "<p>Excellent, thank you for your answer and the hint!🖖</p>",
          "rawMarkdown": "Excellent, thank you for your answer and the hint!🖖",
          "votes": 1
        }
      ]
    },
    {
      "id": 3027589,
      "postDate": "2024-10-25T02:40:56.197Z",
      "content": "<p>Help me understand that: </p>\n<blockquote>\n  <p>The observations are binned in time by group of 30 frames for AIRS and 360 frames for FGS1, to obtain a lighter data-cube, easier to use. The images are cut along the wavelength axis between pixels 39 and 321, so that the 282 pixels left in the wavelength dimension match the last 282 targets' points, from AIRS. </p>\n</blockquote>\n<ol>\n<li>Does it mean that this data before 38 and after 321 are useless? Or they can have some applications?</li>\n</ol>\n<blockquote>\n  <p>The 283rd targets' point is the one for FGS1 that will be added later on.</p>\n</blockquote>\n<ol>\n<li>So whole FGS is only for one single channel with this ~700nm spectrum, and what is really important is only infrared that is contained AIRS, right? </li>\n</ol>",
      "rawMarkdown": "Help me understand that: \n\n>The observations are binned in time by group of 30 frames for AIRS and 360 frames for FGS1, to obtain a lighter data-cube, easier to use. The images are cut along the wavelength axis between pixels 39 and 321, so that the 282 pixels left in the wavelength dimension match the last 282 targets' points, from AIRS. \n\n1. Does it mean that this data before 38 and after 321 are useless? Or they can have some applications?\n\n> The 283rd targets' point is the one for FGS1 that will be added later on.\n\n2. So whole FGS is only for one single channel with this ~700nm spectrum, and what is really important is only infrared that is contained AIRS, right? "
    }
  ],
  "comments": [
    {
      "id": 3028094,
      "author_name": "Natan Labarrère",
      "author_url": "",
      "post_date": "2024-10-25T16:02:53.817000",
      "content": "<p>The data is not completely useless, you can use it to help denoise other wavelengths, although they are very noisy themselves, so use it wisely. But I suspect most teams do not use it. Regarding FGS yes it's not that important but again, if you're working with a multivariate model, FGS can correlate with other frequencies.</p>",
      "votes": 3,
      "replies": [
        {
          "id": 3028260,
          "author_name": "Maciej J Mikulski",
          "author_url": "",
          "post_date": "2024-10-25T19:02:44.400000",
          "content": "<p>Excellent, thank you for your answer and the hint!🖖</p>",
          "votes": 1,
          "replies": []
        }
      ]
    }
  ],
  "raw_markdown_by_id": {
    "3028094": "The data is not completely useless, you can use it to help denoise other wavelengths, although they are very noisy themselves, so use it wisely. But I suspect most teams do not use it. Regarding FGS yes it's not that important but again, if you're working with a multivariate model, FGS can correlate with other frequencies.",
    "3027589": "Help me understand that: \n\n>The observations are binned in time by group of 30 frames for AIRS and 360 frames for FGS1, to obtain a lighter data-cube, easier to use. The images are cut along the wavelength axis between pixels 39 and 321, so that the 282 pixels left in the wavelength dimension match the last 282 targets' points, from AIRS. \n\n1. Does it mean that this data before 38 and after 321 are useless? Or they can have some applications?\n\n> The 283rd targets' point is the one for FGS1 that will be added later on.\n\n2. So whole FGS is only for one single channel with this ~700nm spectrum, and what is really important is only infrared that is contained AIRS, right? "
  }
}