{
  "id": "2203.07700",
  "version": "v1",
  "published": "2022-03-15T07:34:01.000Z",
  "updated": "2022-03-15T07:34:01.000Z",
  "title": "Snowmass2021 Cosmic Frontier: Modeling, statistics, simulations, and computing needs for direct dark matter detection",
  "authors": [
    "Yonatan Kahn",
    "Maria Elena Monzani",
    "Kimberly J. Palladino",
    "Tyler Anderson",
    "Deborah Bard",
    "Daniel Baxter",
    "Micah Buuck",
    "Concetta Cartaro",
    "Juan I. Collar",
    "Miriam Diamond",
    "Alden Fan",
    "Simon Knapen",
    "Scott Kravitz",
    "Rafael F. Lang",
    "Benjamin Nachman",
    "Ibles Olcina Samblas",
    "Igor Ostrovskiy",
    "Aditya Parikh",
    "Quentin Riffard",
    "Amy Roberts",
    "Kelly Stifter",
    "Matthew Szydagis",
    "Christopher Tunnell",
    "Belina von Krosigk",
    "Dennis Wright",
    "Tien-Tien Yu",
    "Dan Akerib",
    "Ray Bunker",
    "Graciela B. Gelmini",
    "Doojin Kim",
    "Jong-Chul Park",
    "Tarek Saab",
    "Rajeev Singh",
    "Shufang Su",
    "Yu-Dai Tsai",
    "Shawn Westerdale"
  ],
  "comment": "Contribution to Snowmass 2021",
  "categories": [
    "hep-ex",
    "physics.comp-ph",
    "physics.data-an"
  ],
  "abstract": "This paper summarizes the modeling, statistics, simulation, and computing needs of direct dark matter detection experiments in the next decade.",
  "revisions": [
    {
      "version": "v1",
      "updated": "2022-03-15T07:34:01.000Z"
    }
  ],
  "analyses": {
    "keywords": [
      "snowmass2021 cosmic frontier",
      "computing needs",
      "statistics",
      "direct dark matter detection experiments",
      "simulation"
    ],
    "note": {
      "typesetting": "TeX",
      "pages": 0,
      "language": "en",
      "license": "arXiv",
      "status": "editable"
    }
  }
}