{
  "id": 360878,
  "title": "The first Machine Learning Gravitational-Wave Search Mock Data Challenge",
  "url": "/competitions/g2net-detecting-continuous-gravitational-waves/discussion/360878",
  "author_name": "Waleed Esmail",
  "post_date": "2022-10-18T17:25:31.032000",
  "votes": 6,
  "comment_count": 0,
  "views": 0,
  "content": "<p>This is <a href=\"https://arxiv.org/pdf/2209.11146.pdf\" target=\"_blank\">a link to the paper</a> that presents the results of the first Machine Learning Gravitational-Wave Search Mock Data Challenge (MLGWSC-1). They present the average sensitivity distance and runtime for the 6 entered algorithms derived from 1 month of test data unknown to the participants prior to submission.</p>\n<p>hope it helps</p>",
  "messages": [
    {
      "id": 1993963,
      "postDate": "2022-10-18T17:25:31.033Z",
      "content": "<p>This is <a href=\"https://arxiv.org/pdf/2209.11146.pdf\" target=\"_blank\">a link to the paper</a> that presents the results of the first Machine Learning Gravitational-Wave Search Mock Data Challenge (MLGWSC-1). They present the average sensitivity distance and runtime for the 6 entered algorithms derived from 1 month of test data unknown to the participants prior to submission.</p>\n<p>hope it helps</p>",
      "rawMarkdown": "This is [a link to the paper](https://arxiv.org/pdf/2209.11146.pdf) that presents the results of the first Machine Learning Gravitational-Wave Search Mock Data Challenge (MLGWSC-1). They present the average sensitivity distance and runtime for the 6 entered algorithms derived from 1 month of test data unknown to the participants prior to submission.\n\nhope it helps",
      "votes": 5
    }
  ],
  "comments": [],
  "raw_markdown_by_id": {
    "1993963": "This is [a link to the paper](https://arxiv.org/pdf/2209.11146.pdf) that presents the results of the first Machine Learning Gravitational-Wave Search Mock Data Challenge (MLGWSC-1). They present the average sensitivity distance and runtime for the 6 entered algorithms derived from 1 month of test data unknown to the participants prior to submission.\n\nhope it helps"
  }
}