dorsal/arxiv
View SchemaA Monte Carlo code for full simulation of a transition radiation detector
| Authors | M. N. Mazziotta |
|---|---|
| Categories | |
| ArXiv ID | physics/9912042 |
| URL | https://arxiv.org/abs/physics/9912042 |
| DOI | 10.1016/S0010-4655(00)00146-6 |
| Journal | Comput.Phys.Commun.132:110-123,2000 |
Abstract
A full simulation of a transition radiation detector (TRD) based on the GEANT, GARFIELD, MAGBOLTZ and HEED codes has been developed. This simulation can be used to study and develop TRD for high energy particle identification using either the cluster counting or the total charge measurement method. In this article it will be also shown an application of this simulation to the discrimination of electrons from hadrons in beams of momentum of few GeV/c or less, assuming typical TRD configuration, namely radiator-detector modules.
{
"annotation_id": "e62ec01d-f1a3-4b12-b689-cbe3f5b78024",
"date_created": "2026-03-02T18:01:24.666000Z",
"date_modified": "2026-03-02T18:01:24.666000Z",
"file_hash": "39f3c2f83141d9d683b48fb8f9f35f289a33006f2dbcdd92b6445f8a93fe82b2",
"private": false,
"record": {
"abstract": "A full simulation of a transition radiation detector (TRD) based on the\nGEANT, GARFIELD, MAGBOLTZ and HEED codes has been developed. This simulation\ncan be used to study and develop TRD for high energy particle identification\nusing either the cluster counting or the total charge measurement method. In\nthis article it will be also shown an application of this simulation to the\ndiscrimination of electrons from hadrons in beams of momentum of few GeV/c or\nless, assuming typical TRD configuration, namely radiator-detector modules.",
"arxiv_id": "physics/9912042",
"authors": [
"M. N. Mazziotta"
],
"categories": [
"physics.comp-ph"
],
"doi": "10.1016/S0010-4655(00)00146-6",
"journal_ref": "Comput.Phys.Commun.132:110-123,2000",
"title": "A Monte Carlo code for full simulation of a transition radiation detector",
"url": "https://arxiv.org/abs/physics/9912042"
},
"schema_id": "dorsal/arxiv",
"source": {
"execution_id": "2394acb0-d28b-44ed-8b52-fbba8eaa8d23",
"id": "arXiv Dataset IDs",
"type": "Model",
"variant": "snapshot-2026-03-01",
"version": "0.1.0"
},
"user_id": 1000002
}