{
  "id": 397623,
  "title": "Ice transparency and auxiliary ratio",
  "url": "/competitions/icecube-neutrinos-in-deep-ice/discussion/397623",
  "author_name": "Dan8262",
  "post_date": "2023-03-26T13:01:03.812000",
  "votes": 8,
  "comment_count": 0,
  "views": 0,
  "content": "<p>Hello,<br>\nIn the document \"Measurement of South Pole ice transparency with the IceCube LED calibration system\" available online (<a href=\"https://arxiv.org/pdf/1301.5361.pdf\" target=\"_blank\">https://arxiv.org/pdf/1301.5361.pdf</a>), you can find information on the ice properties and its quality as a function of depth levels.<br>\nThis information is available below in the form of an R data.table (easily convertible to Python).</p>\n<p>iceTransparency &lt;- data.table(depth = c(-1398.4, -1408.4, -1418.4, -1428.4, -1438.4, -1448.4, -1458.4, -1468.4, -1478.4, -1488.4, -1498.4, -1508.5, -1518.6, -1528.7, -1538.8, -1548.7, -1558.7, -1568.5, -1578.5, -1588.5, -1598.5, -1608.5, -1618.5, -1628.5, -1638.5, -1648.4, -1658.4, -1668.4, -1678.5, -1688.5, -1698.5, -1708.5, -1718.5, -1728.5, -1738.5, -1748.5, -1758.5, -1768.5, -1778.5, -1788.5, -1798.5, -1808.5, -1818.4, -1828.4, -1838.4, -1848.4, -1858.4, -1868.5, -1878.5, -1888.5, -1898.5, -1908.5, -1918.5, -1928.5, -1938.5, -1948.5, -1958.5, -1968.5, -1978.5, -1988.4, -1998.4, -2008.4, -2018.5, -2028.5, -2038.5, -2048.5, -2058.5, -2068.5, -2078.5, -2088.5, -2098.5, -2108.5, -2118.4, -2128.4, -2138.4, -2148.4, -2158.3, -2168.3, -2178.3, -2188.2, -2198.2, -2208.2, -2218.2, -2228.2, -2238.3, -2248.3, -2258.3, -2268.2, -2278.2, -2288.1, -2298.0, -2308.0, -2318.0, -2328.0, -2338.0, -2348.0, -2357.9, -2367.8, -2377.8, -2387.8, -2397.9, -2408.0, -2418.0, -2428.1, -2438.1, -2448.2, -2458.2, -2468.3, -2478.4, -2488.4),<br>\n                              scatteringLength = c(13.2, 14.0, 14.7, 17.0, 16.0, 14.4, 16.0, 20.8, 26.7, 34.7, 39.7, 38.7, 27.8, 16.6, 13.7, 13.5, 15.7, 15.7, 14.7, 17.6, 21.6, 24.0, 20.0, 17.8, 28.9, 36.9, 42.1, 46.5, 45.4, 39.1, 30.6, 26.5, 19.3, 20.8, 20.1, 20.3, 24.5, 33.5, 36.2, 35.4, 32.3, 40.2, 44.7, 34.5, 30.6, 27.5, 19.7, 21.4, 28.8, 38.3, 38.4, 44.2, 50.5, 46.6, 36.8, 26.7, 20.3, 17.4, 16.1, 9.4, 10.6, 13.2, 10.9, 6.8, 5.5, 5.0, 7.2, 9.8, 12.2, 21.1, 54.3, 50.5, 33.5, 34.6, 48.4, 53.2, 46.3, 32.9, 27.4, 30.5, 28.9, 35.1, 39.9, 48.0, 53.3, 54.8, 57.9, 61.1, 76.8, 79.0, 75.6, 75.3, 78.0, 59.4, 51.8, 32.9, 23.9, 28.6, 32.5, 44.5, 56.9, 57.5, 54.3, 61.3, 68.8, 77.6, 79.8, 89.4, 80.7, 56.7), <br>\n                              absorptionLength = c(45.1, 48.6, 53.2, 57.6, 57.6, 52.2, 60.1, 74.6, 96.6, 110.5, 135.6, 134.7, 98.2, 64.7, 48.5, 44.3, 54.4, 56.7, 52.1, 60.7, 72.7, 78.9, 68.7, 66.6, 100.0, 128.6, 148.2, 165.7, 156.0, 138.5, 113.9, 90.2, 73.5, 75.9, 67.8, 68.6, 83.8, 119.5, 121.6, 108.3, 113.4, 139.1, 148.1, 122.8, 113.8, 89.9, 71.7, 70.6, 95.9, 116.5, 143.6, 169.4, 178.0, 156.5, 135.3, 103.9, 75.2, 66.2, 53.7, 33.6, 36.2, 44.0, 40.4, 24.9, 20.1, 17.9, 28.4, 34.4, 41.6, 84.4, 173.1, 180.8, 116.7, 120.4, 164.4, 172.8, 149.2, 108.4, 91.1, 98.9, 94.0, 113.1, 134.8, 154.1, 157.6, 180.5, 179.7, 185.2, 227.2, 220.8, 223.9, 256.6, 264.4, 193.7, 159.1, 118.7, 86.2, 104.0, 119.7, 140.6, 203.5, 201.8, 178.2, 206.0, 205.2, 232.1, 259.4, 276.1, 244.3, 185.2), <br>\n                              key = \"depth\")</p>\n<p>When analyzing these data (<a href=\"https://www.kaggle.com/code/dan8262/dan82-icecube-eda\" target=\"_blank\">https://www.kaggle.com/code/dan8262/dan82-icecube-eda</a> sections 1.4 and 2.6.7), it appears that they are closely correlated with the rate of \"auxiliary\" type recordings on the sensors, particularly at the level of the ice layer called \"dust layer\".</p>\n<p>Dan</p>",
  "messages": [
    {
      "id": 2197812,
      "postDate": "2023-03-26T13:01:03.813Z",
      "content": "<p>Hello,<br>\nIn the document \"Measurement of South Pole ice transparency with the IceCube LED calibration system\" available online (<a href=\"https://arxiv.org/pdf/1301.5361.pdf\" target=\"_blank\">https://arxiv.org/pdf/1301.5361.pdf</a>), you can find information on the ice properties and its quality as a function of depth levels.<br>\nThis information is available below in the form of an R data.table (easily convertible to Python).</p>\n<p>iceTransparency &lt;- data.table(depth = c(-1398.4, -1408.4, -1418.4, -1428.4, -1438.4, -1448.4, -1458.4, -1468.4, -1478.4, -1488.4, -1498.4, -1508.5, -1518.6, -1528.7, -1538.8, -1548.7, -1558.7, -1568.5, -1578.5, -1588.5, -1598.5, -1608.5, -1618.5, -1628.5, -1638.5, -1648.4, -1658.4, -1668.4, -1678.5, -1688.5, -1698.5, -1708.5, -1718.5, -1728.5, -1738.5, -1748.5, -1758.5, -1768.5, -1778.5, -1788.5, -1798.5, -1808.5, -1818.4, -1828.4, -1838.4, -1848.4, -1858.4, -1868.5, -1878.5, -1888.5, -1898.5, -1908.5, -1918.5, -1928.5, -1938.5, -1948.5, -1958.5, -1968.5, -1978.5, -1988.4, -1998.4, -2008.4, -2018.5, -2028.5, -2038.5, -2048.5, -2058.5, -2068.5, -2078.5, -2088.5, -2098.5, -2108.5, -2118.4, -2128.4, -2138.4, -2148.4, -2158.3, -2168.3, -2178.3, -2188.2, -2198.2, -2208.2, -2218.2, -2228.2, -2238.3, -2248.3, -2258.3, -2268.2, -2278.2, -2288.1, -2298.0, -2308.0, -2318.0, -2328.0, -2338.0, -2348.0, -2357.9, -2367.8, -2377.8, -2387.8, -2397.9, -2408.0, -2418.0, -2428.1, -2438.1, -2448.2, -2458.2, -2468.3, -2478.4, -2488.4),<br>\n                              scatteringLength = c(13.2, 14.0, 14.7, 17.0, 16.0, 14.4, 16.0, 20.8, 26.7, 34.7, 39.7, 38.7, 27.8, 16.6, 13.7, 13.5, 15.7, 15.7, 14.7, 17.6, 21.6, 24.0, 20.0, 17.8, 28.9, 36.9, 42.1, 46.5, 45.4, 39.1, 30.6, 26.5, 19.3, 20.8, 20.1, 20.3, 24.5, 33.5, 36.2, 35.4, 32.3, 40.2, 44.7, 34.5, 30.6, 27.5, 19.7, 21.4, 28.8, 38.3, 38.4, 44.2, 50.5, 46.6, 36.8, 26.7, 20.3, 17.4, 16.1, 9.4, 10.6, 13.2, 10.9, 6.8, 5.5, 5.0, 7.2, 9.8, 12.2, 21.1, 54.3, 50.5, 33.5, 34.6, 48.4, 53.2, 46.3, 32.9, 27.4, 30.5, 28.9, 35.1, 39.9, 48.0, 53.3, 54.8, 57.9, 61.1, 76.8, 79.0, 75.6, 75.3, 78.0, 59.4, 51.8, 32.9, 23.9, 28.6, 32.5, 44.5, 56.9, 57.5, 54.3, 61.3, 68.8, 77.6, 79.8, 89.4, 80.7, 56.7), <br>\n                              absorptionLength = c(45.1, 48.6, 53.2, 57.6, 57.6, 52.2, 60.1, 74.6, 96.6, 110.5, 135.6, 134.7, 98.2, 64.7, 48.5, 44.3, 54.4, 56.7, 52.1, 60.7, 72.7, 78.9, 68.7, 66.6, 100.0, 128.6, 148.2, 165.7, 156.0, 138.5, 113.9, 90.2, 73.5, 75.9, 67.8, 68.6, 83.8, 119.5, 121.6, 108.3, 113.4, 139.1, 148.1, 122.8, 113.8, 89.9, 71.7, 70.6, 95.9, 116.5, 143.6, 169.4, 178.0, 156.5, 135.3, 103.9, 75.2, 66.2, 53.7, 33.6, 36.2, 44.0, 40.4, 24.9, 20.1, 17.9, 28.4, 34.4, 41.6, 84.4, 173.1, 180.8, 116.7, 120.4, 164.4, 172.8, 149.2, 108.4, 91.1, 98.9, 94.0, 113.1, 134.8, 154.1, 157.6, 180.5, 179.7, 185.2, 227.2, 220.8, 223.9, 256.6, 264.4, 193.7, 159.1, 118.7, 86.2, 104.0, 119.7, 140.6, 203.5, 201.8, 178.2, 206.0, 205.2, 232.1, 259.4, 276.1, 244.3, 185.2), <br>\n                              key = \"depth\")</p>\n<p>When analyzing these data (<a href=\"https://www.kaggle.com/code/dan8262/dan82-icecube-eda\" target=\"_blank\">https://www.kaggle.com/code/dan8262/dan82-icecube-eda</a> sections 1.4 and 2.6.7), it appears that they are closely correlated with the rate of \"auxiliary\" type recordings on the sensors, particularly at the level of the ice layer called \"dust layer\".</p>\n<p>Dan</p>",
      "rawMarkdown": "Hello,\nIn the document \"Measurement of South Pole ice transparency with the IceCube LED calibration system\" available online ([https://arxiv.org/pdf/1301.5361.pdf](https://arxiv.org/pdf/1301.5361.pdf)), you can find information on the ice properties and its quality as a function of depth levels.\nThis information is available below in the form of an R data.table (easily convertible to Python).\n\niceTransparency <- data.table(depth = c(-1398.4, -1408.4, -1418.4, -1428.4, -1438.4, -1448.4, -1458.4, -1468.4, -1478.4, -1488.4, -1498.4, -1508.5, -1518.6, -1528.7, -1538.8, -1548.7, -1558.7, -1568.5, -1578.5, -1588.5, -1598.5, -1608.5, -1618.5, -1628.5, -1638.5, -1648.4, -1658.4, -1668.4, -1678.5, -1688.5, -1698.5, -1708.5, -1718.5, -1728.5, -1738.5, -1748.5, -1758.5, -1768.5, -1778.5, -1788.5, -1798.5, -1808.5, -1818.4, -1828.4, -1838.4, -1848.4, -1858.4, -1868.5, -1878.5, -1888.5, -1898.5, -1908.5, -1918.5, -1928.5, -1938.5, -1948.5, -1958.5, -1968.5, -1978.5, -1988.4, -1998.4, -2008.4, -2018.5, -2028.5, -2038.5, -2048.5, -2058.5, -2068.5, -2078.5, -2088.5, -2098.5, -2108.5, -2118.4, -2128.4, -2138.4, -2148.4, -2158.3, -2168.3, -2178.3, -2188.2, -2198.2, -2208.2, -2218.2, -2228.2, -2238.3, -2248.3, -2258.3, -2268.2, -2278.2, -2288.1, -2298.0, -2308.0, -2318.0, -2328.0, -2338.0, -2348.0, -2357.9, -2367.8, -2377.8, -2387.8, -2397.9, -2408.0, -2418.0, -2428.1, -2438.1, -2448.2, -2458.2, -2468.3, -2478.4, -2488.4),\n                              scatteringLength = c(13.2, 14.0, 14.7, 17.0, 16.0, 14.4, 16.0, 20.8, 26.7, 34.7, 39.7, 38.7, 27.8, 16.6, 13.7, 13.5, 15.7, 15.7, 14.7, 17.6, 21.6, 24.0, 20.0, 17.8, 28.9, 36.9, 42.1, 46.5, 45.4, 39.1, 30.6, 26.5, 19.3, 20.8, 20.1, 20.3, 24.5, 33.5, 36.2, 35.4, 32.3, 40.2, 44.7, 34.5, 30.6, 27.5, 19.7, 21.4, 28.8, 38.3, 38.4, 44.2, 50.5, 46.6, 36.8, 26.7, 20.3, 17.4, 16.1, 9.4, 10.6, 13.2, 10.9, 6.8, 5.5, 5.0, 7.2, 9.8, 12.2, 21.1, 54.3, 50.5, 33.5, 34.6, 48.4, 53.2, 46.3, 32.9, 27.4, 30.5, 28.9, 35.1, 39.9, 48.0, 53.3, 54.8, 57.9, 61.1, 76.8, 79.0, 75.6, 75.3, 78.0, 59.4, 51.8, 32.9, 23.9, 28.6, 32.5, 44.5, 56.9, 57.5, 54.3, 61.3, 68.8, 77.6, 79.8, 89.4, 80.7, 56.7), \n                              absorptionLength = c(45.1, 48.6, 53.2, 57.6, 57.6, 52.2, 60.1, 74.6, 96.6, 110.5, 135.6, 134.7, 98.2, 64.7, 48.5, 44.3, 54.4, 56.7, 52.1, 60.7, 72.7, 78.9, 68.7, 66.6, 100.0, 128.6, 148.2, 165.7, 156.0, 138.5, 113.9, 90.2, 73.5, 75.9, 67.8, 68.6, 83.8, 119.5, 121.6, 108.3, 113.4, 139.1, 148.1, 122.8, 113.8, 89.9, 71.7, 70.6, 95.9, 116.5, 143.6, 169.4, 178.0, 156.5, 135.3, 103.9, 75.2, 66.2, 53.7, 33.6, 36.2, 44.0, 40.4, 24.9, 20.1, 17.9, 28.4, 34.4, 41.6, 84.4, 173.1, 180.8, 116.7, 120.4, 164.4, 172.8, 149.2, 108.4, 91.1, 98.9, 94.0, 113.1, 134.8, 154.1, 157.6, 180.5, 179.7, 185.2, 227.2, 220.8, 223.9, 256.6, 264.4, 193.7, 159.1, 118.7, 86.2, 104.0, 119.7, 140.6, 203.5, 201.8, 178.2, 206.0, 205.2, 232.1, 259.4, 276.1, 244.3, 185.2), \n                              key = \"depth\")\n\nWhen analyzing these data ([https://www.kaggle.com/code/dan8262/dan82-icecube-eda](https://www.kaggle.com/code/dan8262/dan82-icecube-eda) sections 1.4 and 2.6.7), it appears that they are closely correlated with the rate of \"auxiliary\" type recordings on the sensors, particularly at the level of the ice layer called \"dust layer\".\n\nDan",
      "votes": 8
    }
  ],
  "comments": [],
  "raw_markdown_by_id": {
    "2197812": "Hello,\nIn the document \"Measurement of South Pole ice transparency with the IceCube LED calibration system\" available online ([https://arxiv.org/pdf/1301.5361.pdf](https://arxiv.org/pdf/1301.5361.pdf)), you can find information on the ice properties and its quality as a function of depth levels.\nThis information is available below in the form of an R data.table (easily convertible to Python).\n\niceTransparency <- data.table(depth = c(-1398.4, -1408.4, -1418.4, -1428.4, -1438.4, -1448.4, -1458.4, -1468.4, -1478.4, -1488.4, -1498.4, -1508.5, -1518.6, -1528.7, -1538.8, -1548.7, -1558.7, -1568.5, -1578.5, -1588.5, -1598.5, -1608.5, -1618.5, -1628.5, -1638.5, -1648.4, -1658.4, -1668.4, -1678.5, -1688.5, -1698.5, -1708.5, -1718.5, -1728.5, -1738.5, -1748.5, -1758.5, -1768.5, -1778.5, -1788.5, -1798.5, -1808.5, -1818.4, -1828.4, -1838.4, -1848.4, -1858.4, -1868.5, -1878.5, -1888.5, -1898.5, -1908.5, -1918.5, -1928.5, -1938.5, -1948.5, -1958.5, -1968.5, -1978.5, -1988.4, -1998.4, -2008.4, -2018.5, -2028.5, -2038.5, -2048.5, -2058.5, -2068.5, -2078.5, -2088.5, -2098.5, -2108.5, -2118.4, -2128.4, -2138.4, -2148.4, -2158.3, -2168.3, -2178.3, -2188.2, -2198.2, -2208.2, -2218.2, -2228.2, -2238.3, -2248.3, -2258.3, -2268.2, -2278.2, -2288.1, -2298.0, -2308.0, -2318.0, -2328.0, -2338.0, -2348.0, -2357.9, -2367.8, -2377.8, -2387.8, -2397.9, -2408.0, -2418.0, -2428.1, -2438.1, -2448.2, -2458.2, -2468.3, -2478.4, -2488.4),\n                              scatteringLength = c(13.2, 14.0, 14.7, 17.0, 16.0, 14.4, 16.0, 20.8, 26.7, 34.7, 39.7, 38.7, 27.8, 16.6, 13.7, 13.5, 15.7, 15.7, 14.7, 17.6, 21.6, 24.0, 20.0, 17.8, 28.9, 36.9, 42.1, 46.5, 45.4, 39.1, 30.6, 26.5, 19.3, 20.8, 20.1, 20.3, 24.5, 33.5, 36.2, 35.4, 32.3, 40.2, 44.7, 34.5, 30.6, 27.5, 19.7, 21.4, 28.8, 38.3, 38.4, 44.2, 50.5, 46.6, 36.8, 26.7, 20.3, 17.4, 16.1, 9.4, 10.6, 13.2, 10.9, 6.8, 5.5, 5.0, 7.2, 9.8, 12.2, 21.1, 54.3, 50.5, 33.5, 34.6, 48.4, 53.2, 46.3, 32.9, 27.4, 30.5, 28.9, 35.1, 39.9, 48.0, 53.3, 54.8, 57.9, 61.1, 76.8, 79.0, 75.6, 75.3, 78.0, 59.4, 51.8, 32.9, 23.9, 28.6, 32.5, 44.5, 56.9, 57.5, 54.3, 61.3, 68.8, 77.6, 79.8, 89.4, 80.7, 56.7), \n                              absorptionLength = c(45.1, 48.6, 53.2, 57.6, 57.6, 52.2, 60.1, 74.6, 96.6, 110.5, 135.6, 134.7, 98.2, 64.7, 48.5, 44.3, 54.4, 56.7, 52.1, 60.7, 72.7, 78.9, 68.7, 66.6, 100.0, 128.6, 148.2, 165.7, 156.0, 138.5, 113.9, 90.2, 73.5, 75.9, 67.8, 68.6, 83.8, 119.5, 121.6, 108.3, 113.4, 139.1, 148.1, 122.8, 113.8, 89.9, 71.7, 70.6, 95.9, 116.5, 143.6, 169.4, 178.0, 156.5, 135.3, 103.9, 75.2, 66.2, 53.7, 33.6, 36.2, 44.0, 40.4, 24.9, 20.1, 17.9, 28.4, 34.4, 41.6, 84.4, 173.1, 180.8, 116.7, 120.4, 164.4, 172.8, 149.2, 108.4, 91.1, 98.9, 94.0, 113.1, 134.8, 154.1, 157.6, 180.5, 179.7, 185.2, 227.2, 220.8, 223.9, 256.6, 264.4, 193.7, 159.1, 118.7, 86.2, 104.0, 119.7, 140.6, 203.5, 201.8, 178.2, 206.0, 205.2, 232.1, 259.4, 276.1, 244.3, 185.2), \n                              key = \"depth\")\n\nWhen analyzing these data ([https://www.kaggle.com/code/dan8262/dan82-icecube-eda](https://www.kaggle.com/code/dan8262/dan82-icecube-eda) sections 1.4 and 2.6.7), it appears that they are closely correlated with the rate of \"auxiliary\" type recordings on the sensors, particularly at the level of the ice layer called \"dust layer\".\n\nDan"
  }
}