{
  "annotation_id": "b55fdbd1-ba9d-4a57-b851-06174b810c29",
  "date_created": "2026-02-17T05:53:15.039000Z",
  "date_modified": "2026-02-17T05:53:15.039000Z",
  "file_hash": "abd2e347111bba0367bc157e1b517f016231e36b118997ce6445b28e5d9fb1e4",
  "private": false,
  "record": {
    "abstract": "We introduce a general method to merge multidimensional equations of state (EoSs) by combining them in a two-fluid equilibrium statistical mixture in the grand canonical ensemble. The merged grand potential density $\\omega$ is built directly from the input EoSs and the fluid fractions are fixed by minimizing $\\omega$ at fixed temperature $T$ and baryon chemical potential $\\mu_B$. Thermodynamic consistency and stability are guaranteed as all thermodynamic quantities are consistently derived from a single merged grand potential $\\omega(T,\\mu_B)$ with the correct convexity properties. Our method can accommodate a first-order phase transition and a critical endpoint with mean-field critical exponents. We use this method to merge a van der Waals Hadron-Resonance-Gas EoS with a holographic Einstein-Maxwell-Dilaton EoS that has a critical point and a first-order line. The result is a single EoS, spanning hadronic and deconfined matter over a broad range in $(T,\\mu_B)$, which can be readily used in heavy-ion hydrodynamic simulations. Our merging method can be generalized to consider a higher dimensional phase diagram (e.g., by considering more chemical potentials) and more than two input EoSs.",
    "arxiv_id": "2601.07987",
    "authors": [
      "Yumu Yang",
      "Prachi Garella",
      "Musa R. Khan",
      "Tulio E. Restrepo",
      "Joaquin Grefa",
      "Johannes Jahan",
      "Mauricio Hippert",
      "Jorge Noronha",
      "Claudia Ratti",
      "Romulo Rougemont"
    ],
    "categories": [
      "nucl-th",
      "hep-lat",
      "hep-ph"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "title": "Merging multidimensional equations of state of strongly interacting matter via a statistical mixture",
    "url": "https://arxiv.org/abs/2601.07987",
    "version": "v1"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "3e2bc8c7-4159-4eb1-ad5c-e0c39cc54f40",
    "id": "arXiv Dataset",
    "type": "Model",
    "variant": "snapshot-2026-01-17",
    "version": "0.1.0"
  },
  "user_id": 1000002
}