{
  "id": "2205.08733",
  "version": "v1",
  "published": "2022-05-18T05:54:07.000Z",
  "updated": "2022-05-18T05:54:07.000Z",
  "title": "Identification of Grand-design and Flocculent Spirals from SDSS using Convolutional Neural network",
  "authors": [
    "S. Sarkar",
    "G. Narayanan",
    "A. Banerjee",
    "P. Prakash"
  ],
  "categories": [
    "astro-ph.GA"
  ],
  "abstract": "Spiral galaxies can be classified into the Grand-designs and Flocculents, based on the nature of their spiral arms. The Grand-designs exhibit almost continuous, high contrast spiral arms and are believed to be driven by density waves; the Flocculents, on the other hand, have patchy or discontinuous spiral features and are mostly stochastic in origin. We construct a convolutional neural network (CNN) model that classifies spirals into Grand-designs and Flocculents, with a testing accuracy of $\\mathrm{97.2\\%}$. We then use the above model for classifying $\\mathrm{1,220}$ new spirals from the SDSS. Out of these, $\\mathrm{721}$ are identified as Flocculents, the rest being Grand-designs. The mean asymptotic rotational velocity of our sample Grand-designs and Flocculents are $\\mathrm{218 \\; km \\; s^{-1}}$ and $\\mathrm{145 \\; km \\; s^{-1}}$ respectively, while their respective de Vaucouleur morphological type indices are $\\mathrm{2.6}$ and $\\mathrm{4.7}$. This possibly indicates that Grand-designs are mostly ordinary high surface brightness galaxies like our Milky Way, while Flocculents are intermediate-mass low surface brightness galaxies.",
  "revisions": [
    {
      "version": "v1",
      "updated": "2022-05-18T05:54:07.000Z"
    }
  ],
  "analyses": {
    "keywords": [
      "convolutional neural network",
      "grand-design",
      "flocculent spirals",
      "intermediate-mass low surface brightness galaxies",
      "ordinary high surface brightness galaxies"
    ],
    "note": {
      "typesetting": "TeX",
      "pages": 0,
      "language": "en",
      "license": "arXiv",
      "status": "editable"
    }
  }
}