March 2, 2024 Master Thesis Open Access

Schmidt, Kylian

JSON Export

{
  "conceptrecid": "22244", 
  "created": "2024-09-12T13:39:05.685452+00:00", 
  "files": [
    {
      "bucket": "4740530f-2746-40af-a327-8a585ba7b3ff", 
      "checksum": "md5:b6e5fd718c2707381947cb3d2a3e9459", 
      "key": "master_thesis_kylian_schmidt.pdf", 
      "links": {
        "self": "https://publish.etp.kit.edu/api/files/4740530f-2746-40af-a327-8a585ba7b3ff/master_thesis_kylian_schmidt.pdf"
      }, 
      "size": 12693996, 
      "type": "pdf"
    }
  ], 
  "id": 22245, 
  "links": {
    "bucket": "https://publish.etp.kit.edu/api/files/4740530f-2746-40af-a327-8a585ba7b3ff", 
    "html": "https://publish.etp.kit.edu/record/22245", 
    "latest": "https://publish.etp.kit.edu/api/records/22245", 
    "latest_html": "https://publish.etp.kit.edu/record/22245"
  }, 
  "metadata": {
    "access_right": "open", 
    "access_right_category": "success", 
    "communities": [
      {
        "id": "etp"
      }
    ], 
    "contributors": [], 
    "creators": [
      {
        "affiliation": "KIT/ETP", 
        "name": "Schmidt, Kylian"
      }
    ], 
    "description": "<p>Axion-Like Particles (ALPs) are hypothetical weakly interacting light particles predicted<br>\nby theories Beyond the Standard Model which could be mediators between a dark sector<br>\nand the Standard Model. Some of these theories predict light ALPs which decay into two<br>\nphotons and could be detected at future beamdump experiments such as LUXE - New<br>\nPhysics search at Optical Dump.</p>\n\n<p><br>\nTo investigate the properties of such ALPs, an accurate reconstruction of the common<br>\nphoton vertex from the hits measured in the detector can aid the search significantly. For<br>\nthis purpose, the photon shower direction needs to be reconstructed precisely, combining<br>\ntechniques from cluster and track reconstruction. This task is a prime candidate for modern<br>\nmethods of reconstruction based on Machine Learning such as Graph Neural Networks.</p>\n\n<p><br>\nThis thesis presents a Graph Neural Network composed of GravNet and GarNet, which<br>\nis able to reconstruct the decay vertex of ALPs from the sparse detector hits of the two<br>\nphoton showers. The performance of the network is assessed on a data-set simulated with a<br>\nhigh granularity calorimeter.</p>", 
    "keywords": [
      "Graph Neural Networks, Axion-Like Particles"
    ], 
    "language": "eng", 
    "publication_date": "2024-03-02", 
    "relations": {
      "version": [
        {
          "count": 1, 
          "index": 0, 
          "is_last": true, 
          "last_child": {
            "pid_type": "recid", 
            "pid_value": "22245"
          }, 
          "parent": {
            "pid_type": "recid", 
            "pid_value": "22244"
          }
        }
      ]
    }, 
    "resource_type": {
      "subtype": "master-thesis", 
      "title": "Master Thesis", 
      "type": "thesis"
    }, 
    "thesis": {
      "report_number": "ETP-KA/2023-15", 
      "supervisors": [
        {
          "affiliation": "KIT/ETP", 
          "name": "Klute, Markus"
        }, 
        {
          "affiliation": "KIT/ETP", 
          "name": "Ferber, Torben"
        }, 
        {
          "affiliation": "KIT/ETP", 
          "name": "Heidelbach, Alexander"
        }
      ]
    }, 
    "title": "Photon Reconstruction of Axion-Like Particles with Graph Neural Networks at Beamdump Experiments"
  }, 
  "owners": [
    110
  ], 
  "revision": 2, 
  "stats": {}, 
  "updated": "2024-09-12T13:39:13.295486+00:00"
}