{
  "id": "2311.17854",
  "version": "v1",
  "published": "2023-11-29T17:59:21.000Z",
  "updated": "2023-11-29T17:59:21.000Z",
  "title": "Target search by active particles",
  "authors": [
    "Urna Basu",
    "Sanjib Sabhapandit",
    "Ion Santra"
  ],
  "comment": "Prepared as an invited chapter for the book 'THE TARGET PROBLEM' (Editors: D. S. Grebenkov, R. Metzler, G. Oshanin)",
  "categories": [
    "cond-mat.stat-mech"
  ],
  "abstract": "Active particles, which are self-propelled nonequilibrium systems, are modelled by overdamped Langevin equations with colored noise, emulating the self-propulsion. In this chapter, we present a review of the theoretical results for the target search problem of these particles. We focus on three most well-known models, namely, run-and-tumble particles, active Brownian particles, and direction reversing active Brownian particles, which differ in their self-propulsion dynamics. For each of these models, we discuss the first-passage and survival probabilities in the presence of an absorbing target. We also discuss how resetting helps the active particles find targets in a finite time.",
  "revisions": [
    {
      "version": "v1",
      "updated": "2023-11-29T17:59:21.000Z"
    }
  ],
  "analyses": {
    "keywords": [
      "active particles",
      "target search problem",
      "direction reversing active brownian particles",
      "overdamped langevin equations",
      "finite time"
    ],
    "tags": [
      "book chapter"
    ],
    "note": {
      "typesetting": "TeX",
      "pages": 0,
      "language": "en",
      "license": "arXiv",
      "status": "editable"
    }
  }
}