{
  "abstract": "Understanding how supermassive black holes (SMBHs) grow and regulate the growth of their host galaxies requires tracing the cold molecular interstellar medium (ISM) throughout the full AGN feeding-feedback cycle. Molecular gas constitutes both the primary fuel for star formation and black-hole accretion and one of the ISM phases most directly affected by AGN-driven radiation, winds, and radio jets. Over the past decade, ALMA has resolved circumnuclear molecular discs, rings, spirals, tori, and jet-driven outflows on scales of tens of parsecs in nearby AGN. These studies have demonstrated that combining spatially resolved gas kinematics with multi-line diagnostics is essential for disentangling the physical processes underlying the observed gas conditions. However, our current picture remains largely based on a limited number of exceptionally nearby systems. Most local AGN have instead been observed with ALMA in a single transition at moderate or low angular resolution, preventing a systematic characterisation of both the dynamics and physical state of the gas. Moreover, existing studies have largely overlooked kinetic-mode AGN hosted by massive early-type galaxies, despite their central importance for understanding maintenance-mode feedback. In this White Paper, we argue that ALMA2040 should transform these detailed case studies into a statistical framework. A $\\sim10\\times$ improvement in line sensitivity relative to the current ALMA, together with fast mosaicking, ultra-wide instantaneous bandwidth, and longer baselines (resolving up to $\\sim9$ mas at 230 GHz), will enable homogeneous, multi-line mapping of the molecular ISM on giant molecular clouds scales across statistically significant samples of both radiative- and kinetic-mode AGN out to $z\\lesssim0.1$.",
  "abstract_shown": true,
  "affiliations": [],
  "article_type": null,
  "arxiv": "2610.22449",
  "author_total": 16,
  "authors": [
    {
      "name": "Ilaria Ruffa"
    },
    {
      "name": "Francesco Salvestrini"
    },
    {
      "name": "Almudena Alonso Herrero"
    },
    {
      "name": "Anelise Audibert"
    },
    {
      "name": "Elena Bertola"
    },
    {
      "name": "Viviana Casasola"
    },
    {
      "name": "Roberto Decarli"
    },
    {
      "name": "Daniel Espada"
    },
    {
      "name": "Umberto Maio"
    },
    {
      "name": "Dieu D. Nguyen"
    },
    {
      "name": "Mamta Pandey-Pommier"
    },
    {
      "name": "Miguel Pereira-Santaella"
    },
    {
      "name": "Francesca Pozzi"
    },
    {
      "name": "Jahang Prathap"
    },
    {
      "name": "Sabine Thater"
    },
    {
      "name": "Maria Vittoria Zanchettin"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/0s8778nteenyn.bib",
  "cited_by": 0,
  "doi": "10.48550/arxiv.2610.22449",
  "fulltext_url": null,
  "id": "0s8778nteenyn",
  "issns": [],
  "landing_url": "https://arxiv.org/abs/2610.22449",
  "language": null,
  "licence": "CC-BY-4.0",
  "licence_label": "CC BY 4.0",
  "licence_source": "article",
  "licence_url": "http://creativecommons.org/licenses/by/4.0/",
  "metadata_licence": "CC0-1.0",
  "native_subjects": [
    [
      "arxiv",
      "astro-ph.GA"
    ],
    [
      "arxiv",
      "astro-ph.IM"
    ],
    [
      "openalex",
      "3103|Galaxies: Formation, Evolution, Phenomena"
    ]
  ],
  "openalex": "W7222941779",
  "pdf_url": "https://arxiv.org/pdf/2610.22449",
  "pmcid": null,
  "pmid": null,
  "published": "2026-10-15",
  "publisher": null,
  "ris": "https://research.draconitic.com/paper/0s8778nteenyn.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T12:30:32Z",
      "native_id": "2610.22449",
      "source": "arxiv",
      "url": "https://arxiv.org/abs/2610.22449"
    }
  ],
  "subjects": [
    {
      "field": "astronomy",
      "origin": "arxiv:astro-ph.GA",
      "subfield": "galaxies"
    },
    {
      "field": "astronomy",
      "origin": "arxiv:astro-ph.IM",
      "subfield": "instrumentation-methods"
    }
  ],
  "title": "Resolving the AGN Feeding and Feedback Cycle with ALMA2040",
  "title_text": "Resolving the AGN Feeding and Feedback Cycle with ALMA2040",
  "type": "preprint",
  "updated_at": "2026-10-30T12:33:28Z",
  "url": "https://research.draconitic.com/paper/0s8778nteenyn",
  "venue": "arXiv",
  "versions": []
}