{
  "id": 249991,
  "title": "Research Papers to get started",
  "url": "/competitions/g2net-gravitational-wave-detection/discussion/249991",
  "author_name": "",
  "post_date": "2021-06-30T17:40:43.169812Z",
  "votes": 55,
  "comment_count": 14,
  "views": 0,
  "content": "<ol>\n<li><p><a href=\"https://iopscience.iop.org/article/10.1088/2632-2153/abb93a/pdf\" target=\"_blank\">Enhancing Gravitational wave science with Machine Learning</a> </p></li>\n<li><p><a href=\"https://arxiv.org/abs/2011.01958\" target=\"_blank\">Machine Learning Gravitational Waves from Binary Black Hole Mergers</a></p></li>\n<li><p><a href=\"https://arxiv.org/abs/2010.08584\" target=\"_blank\">Improving significance of binary black hole mergers in Advanced LIGO data using deep learning</a></p></li>\n</ol>",
  "messages": [
    {
      "id": "1371141",
      "postDate": "06/30/2021 17:40:43",
      "content": "<ol>\n<li><p><a href=\"https://iopscience.iop.org/article/10.1088/2632-2153/abb93a/pdf\" target=\"_blank\">Enhancing Gravitational wave science with Machine Learning</a> </p></li>\n<li><p><a href=\"https://arxiv.org/abs/2011.01958\" target=\"_blank\">Machine Learning Gravitational Waves from Binary Black Hole Mergers</a></p></li>\n<li><p><a href=\"https://arxiv.org/abs/2010.08584\" target=\"_blank\">Improving significance of binary black hole mergers in Advanced LIGO data using deep learning</a></p></li>\n</ol>",
      "rawMarkdown": "1. [Enhancing Gravitational wave science with Machine Learning](https://iopscience.iop.org/article/10.1088/2632-2153/abb93a/pdf) \n\n2. [Machine Learning Gravitational Waves from Binary Black Hole Mergers](https://arxiv.org/abs/2011.01958)\n\n3. [Improving significance of binary black hole mergers in Advanced LIGO data using deep learning](https://arxiv.org/abs/2010.08584)",
      "votes": null
    },
    {
      "id": "1371179",
      "postDate": "06/30/2021 18:22:53",
      "content": "<p>Here is a paper that might offer some good background for this competition: Properties of the Binary Black Hole Merger GW150914 <a href=\"url\" target=\"_blank\">https://arxiv.org/abs/1602.03840</a> </p>",
      "rawMarkdown": "Here is a paper that might offer some good background for this competition: Properties of the Binary Black Hole Merger GW150914 [https://arxiv.org/abs/1602.03840](url)",
      "votes": null
    },
    {
      "id": "1371304",
      "postDate": "06/30/2021 21:17:57",
      "content": "<p>Thanks for the nice reference. I will read them. </p>",
      "rawMarkdown": "Thanks for the nice reference. I will read them.",
      "votes": null
    },
    {
      "id": "1371407",
      "postDate": "07/01/2021 01:21:28",
      "content": "<p>Thanks for sharing….</p>",
      "rawMarkdown": "Thanks for sharing....",
      "votes": null
    },
    {
      "id": "1371486",
      "postDate": "07/01/2021 03:42:56",
      "content": "<p>Hi Saurabh . This would be helpful to get grasp the basics of relation between GW &amp; ML and its application in GW . Thanks for sharing .</p>",
      "rawMarkdown": "Hi Saurabh . This would be helpful to get grasp the basics of relation between GW & ML and its application in GW . Thanks for sharing .",
      "votes": null
    },
    {
      "id": "1372453",
      "postDate": "07/01/2021 18:03:13",
      "content": "<p>Thanks for sharing….</p>",
      "rawMarkdown": "Thanks for sharing….",
      "votes": null
    },
    {
      "id": "1372482",
      "postDate": "07/01/2021 18:38:54",
      "content": "<p>Thanks for sharing!</p>",
      "rawMarkdown": "Thanks for sharing!",
      "votes": null
    },
    {
      "id": "1372562",
      "postDate": "07/01/2021 20:39:05",
      "content": "<p>Thanks for sharing, here's a massive collection of papers and other resources related to G-Waves analysis, detection, and more using ML. Have fun reading! </p>\n<p><a href=\"https://iphysresearch.github.io/Survey4GWML/\" target=\"_blank\">https://iphysresearch.github.io/Survey4GWML/</a></p>",
      "rawMarkdown": "Thanks for sharing, here's a massive collection of papers and other resources related to G-Waves analysis, detection, and more using ML. Have fun reading! \n\nhttps://iphysresearch.github.io/Survey4GWML/",
      "votes": null
    },
    {
      "id": "1372936",
      "postDate": "07/02/2021 05:54:48",
      "content": "<p>Thanks for sharing. Great reads!</p>",
      "rawMarkdown": "Thanks for sharing. Great reads!",
      "votes": null
    },
    {
      "id": "1374962",
      "postDate": "07/03/2021 18:26:49",
      "content": "<p>Thanks for sharing <a href=\"https://www.kaggle.com/saurabhshahane\" target=\"_blank\">@saurabhshahane</a> ! Very useful!</p>",
      "rawMarkdown": "Thanks for sharing @saurabhshahane ! Very useful!",
      "votes": null
    },
    {
      "id": "1375189",
      "postDate": "07/04/2021 01:28:32",
      "content": "<p>Thanks for sharing!</p>",
      "rawMarkdown": "Thanks for sharing!",
      "votes": null
    },
    {
      "id": "1377179",
      "postDate": "07/05/2021 16:24:57",
      "content": "<p>Thanks for sharing <a href=\"https://www.kaggle.com/saurabhshahane\" target=\"_blank\">@saurabhshahane</a> ! Useful examples.</p>",
      "rawMarkdown": "Thanks for sharing @saurabhshahane ! Useful examples.",
      "votes": null
    },
    {
      "id": "1377872",
      "postDate": "07/06/2021 07:30:57",
      "content": "<p>Thanks for sharing this</p>",
      "rawMarkdown": "Thanks for sharing this",
      "votes": null
    },
    {
      "id": "1505666",
      "postDate": "09/07/2021 13:11:33",
      "content": "<p>Thanks for sharing <a href=\"https://www.kaggle.com/saurabhshahane\" target=\"_blank\">@saurabhshahane</a>! :)</p>",
      "rawMarkdown": "Thanks for sharing @saurabhshahane! :)",
      "votes": null
    },
    {
      "id": "1559967",
      "postDate": "10/27/2021 08:39:13",
      "content": "<p>Hey All,</p>\n<p>Thank you all for taking part in our competition. The participation has been overwhelmingly positive. We are currently conducting a survey to gauge the demographic and outreach achieved. Kindly spare 2min and fill in this survey <a href=\"https://forms.gle/QP9L16niPexozyhu5\" target=\"_blank\">https://forms.gle/QP9L16niPexozyhu5</a>.</p>\n<p>Thank you all,</p>\n<p>Regards,<br>\nChris</p>",
      "rawMarkdown": "Hey All,\n\nThank you all for taking part in our competition. The participation has been overwhelmingly positive. We are currently conducting a survey to gauge the demographic and outreach achieved. Kindly spare 2min and fill in this survey https://forms.gle/QP9L16niPexozyhu5.\n\nThank you all,\n\nRegards,\nChris",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 1371179,
      "author_name": "amuletanalytics",
      "author_url": "",
      "post_date": "06/30/2021 18:22:53",
      "content": "<p>Here is a paper that might offer some good background for this competition: Properties of the Binary Black Hole Merger GW150914 <a href=\"url\" target=\"_blank\">https://arxiv.org/abs/1602.03840</a> </p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 1371304,
      "author_name": "woosungyoon",
      "author_url": "",
      "post_date": "06/30/2021 21:17:57",
      "content": "<p>Thanks for the nice reference. I will read them. </p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 1371407,
      "author_name": "laxmankusuma",
      "author_url": "",
      "post_date": "07/01/2021 01:21:28",
      "content": "<p>Thanks for sharing….</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 1371486,
      "author_name": "anupamsingh10",
      "author_url": "",
      "post_date": "07/01/2021 03:42:56",
      "content": "<p>Hi Saurabh . This would be helpful to get grasp the basics of relation between GW &amp; ML and its application in GW . Thanks for sharing .</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 1372453,
      "author_name": "uniabhi",
      "author_url": "",
      "post_date": "07/01/2021 18:03:13",
      "content": "<p>Thanks for sharing….</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 1372482,
      "author_name": "mishavyas",
      "author_url": "",
      "post_date": "07/01/2021 18:38:54",
      "content": "<p>Thanks for sharing!</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 1372562,
      "author_name": "bsridatta",
      "author_url": "",
      "post_date": "07/01/2021 20:39:05",
      "content": "<p>Thanks for sharing, here's a massive collection of papers and other resources related to G-Waves analysis, detection, and more using ML. Have fun reading! </p>\n<p><a href=\"https://iphysresearch.github.io/Survey4GWML/\" target=\"_blank\">https://iphysresearch.github.io/Survey4GWML/</a></p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 1372936,
      "author_name": "shaz13",
      "author_url": "",
      "post_date": "07/02/2021 05:54:48",
      "content": "<p>Thanks for sharing. Great reads!</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 1374962,
      "author_name": "saurabhbagchi",
      "author_url": "",
      "post_date": "07/03/2021 18:26:49",
      "content": "<p>Thanks for sharing <a href=\"https://www.kaggle.com/saurabhshahane\" target=\"_blank\">@saurabhshahane</a> ! Very useful!</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 1375189,
      "author_name": "billyfeng",
      "author_url": "",
      "post_date": "07/04/2021 01:28:32",
      "content": "<p>Thanks for sharing!</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 1377179,
      "author_name": "mustafasenol95",
      "author_url": "",
      "post_date": "07/05/2021 16:24:57",
      "content": "<p>Thanks for sharing <a href=\"https://www.kaggle.com/saurabhshahane\" target=\"_blank\">@saurabhshahane</a> ! Useful examples.</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 1377872,
      "author_name": "sandraphari",
      "author_url": "",
      "post_date": "07/06/2021 07:30:57",
      "content": "<p>Thanks for sharing this</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 1505666,
      "author_name": "kbh0287",
      "author_url": "",
      "post_date": "09/07/2021 13:11:33",
      "content": "<p>Thanks for sharing <a href=\"https://www.kaggle.com/saurabhshahane\" target=\"_blank\">@saurabhshahane</a>! :)</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 1559967,
      "author_name": "zerafachris",
      "author_url": "",
      "post_date": "10/27/2021 08:39:13",
      "content": "<p>Hey All,</p>\n<p>Thank you all for taking part in our competition. The participation has been overwhelmingly positive. We are currently conducting a survey to gauge the demographic and outreach achieved. Kindly spare 2min and fill in this survey <a href=\"https://forms.gle/QP9L16niPexozyhu5\" target=\"_blank\">https://forms.gle/QP9L16niPexozyhu5</a>.</p>\n<p>Thank you all,</p>\n<p>Regards,<br>\nChris</p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "1371141": "1. [Enhancing Gravitational wave science with Machine Learning](https://iopscience.iop.org/article/10.1088/2632-2153/abb93a/pdf) \n\n2. [Machine Learning Gravitational Waves from Binary Black Hole Mergers](https://arxiv.org/abs/2011.01958)\n\n3. [Improving significance of binary black hole mergers in Advanced LIGO data using deep learning](https://arxiv.org/abs/2010.08584)",
    "1371179": "Here is a paper that might offer some good background for this competition: Properties of the Binary Black Hole Merger GW150914 [https://arxiv.org/abs/1602.03840](url)",
    "1371304": "Thanks for the nice reference. I will read them.",
    "1371407": "Thanks for sharing....",
    "1371486": "Hi Saurabh . This would be helpful to get grasp the basics of relation between GW & ML and its application in GW . Thanks for sharing .",
    "1372453": "Thanks for sharing….",
    "1372482": "Thanks for sharing!",
    "1372562": "Thanks for sharing, here's a massive collection of papers and other resources related to G-Waves analysis, detection, and more using ML. Have fun reading! \n\nhttps://iphysresearch.github.io/Survey4GWML/",
    "1372936": "Thanks for sharing. Great reads!",
    "1374962": "Thanks for sharing @saurabhshahane ! Very useful!",
    "1375189": "Thanks for sharing!",
    "1377179": "Thanks for sharing @saurabhshahane ! Useful examples.",
    "1377872": "Thanks for sharing this",
    "1505666": "Thanks for sharing @saurabhshahane! :)",
    "1559967": "Hey All,\n\nThank you all for taking part in our competition. The participation has been overwhelmingly positive. We are currently conducting a survey to gauge the demographic and outreach achieved. Kindly spare 2min and fill in this survey https://forms.gle/QP9L16niPexozyhu5.\n\nThank you all,\n\nRegards,\nChris"
  },
  "source": "meta"
}