{
  "annotation_id": "e43c0949-312d-4923-adf7-336a162e3dcf",
  "date_created": "2026-02-17T05:53:20.402000Z",
  "date_modified": "2026-02-17T05:53:20.402000Z",
  "file_hash": "0f8ad3d8a7a90894095bbc90f8cc77a938e7878d3861f6cb7d5d0fb37df3a085",
  "private": false,
  "record": {
    "abstract": "We investigate exact cosmological solutions with a massive scalar field minimally coupled to the Einstein-Hilbert action in General Relativity. For an extended Higgs-like scalar self-interaction, we find that the resulting field equations belong to the damped Ermakov-Painlev\\\u0027e II class and construct novel analytical solutions within the framework of the Chiellini integrability condition. We analyze whether the expanding branch of the solutions can describe a late-time cosmic acceleration, using a combined statistical analysis of BAO, CMB, cosmic chronometer and Pantheon+SHOES supernova datasets. A crucial outcome of this exercise is the analytical emergence of a smooth phantom divide crossing in the dark energy equation of state, achieved without introducing any pathological instabilities. The reconstruction yields a present-day Hubble parameter $H_0 \\gtrsim 70 \\,\\mathrm{km\\,s^{-1}\\,Mpc^{-1}}$, with a reduced tension relative to the $\\Lambda$CDM cosmology. The results indicate that Chiellini-integrable scalar cosmologies are capable of providing a robust and analytically controlled framework for modeling late-time cosmic acceleration and phantom divide crossing, offering a viable alternative to phenomenological dark-energy parametrizations.",
    "arxiv_id": "2601.09271",
    "authors": [
      "Soumya Chakrabarti",
      "Nandan Roy"
    ],
    "categories": [
      "gr-qc",
      "astro-ph.CO",
      "hep-th"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "title": "Chiellini-Integrable Cosmologies with Phantom Divide Crossing",
    "url": "https://arxiv.org/abs/2601.09271",
    "version": "v1"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "733e227a-286d-4a41-b49d-0fb3952f03dc",
    "id": "arXiv Dataset",
    "type": "Model",
    "variant": "snapshot-2026-01-17",
    "version": "0.1.0"
  },
  "user_id": 1000002
}