Forecasting performance in particle identification with potential TOF detectors at HL-LHC - Archive ouverte HAL Accéder directement au contenu
Pré-Publication, Document De Travail Année : 2022

Forecasting performance in particle identification with potential TOF detectors at HL-LHC

Antonin Maire

Résumé

The document addresses comparative performances expected for various configurations of Time-Of-Flight detectors, for several CERN experiments (ALICE-1, ALICE-3, ATLAS, CMS). The figures are based on analytical formulae derived for charged particles travelling in a solenoidal magnetic field. While these performances correspond to ideal limits (with respect to real data or full simulations including particle transport), the main point is to assess the theoretical separation among various identified species (e±, µ±, π±, K±, p±, d±, t±, 3He±, 4He±) at the horizon of runs IV (2029-2031) or V (> 2032) of the High-Luminosity LHC, HL-LHC. The intent is thus to appreciate the experimental realm of possible physics cases. CERN Document Server : CERN-OPEN-2021-003; CERN-PH-EP-2021-ANA-1073
Fichier principal
Vignette du fichier
CERN-OPEN-2021-003.pdf (37.01 Mo) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)

Dates et versions

hal-03563619 , version 1 (09-02-2022)

Licence

Paternité

Identifiants

  • HAL Id : hal-03563619 , version 1
  • CERN : 2753971

Citer

Antonin Maire. Forecasting performance in particle identification with potential TOF detectors at HL-LHC. 2022. ⟨hal-03563619⟩
38 Consultations
5 Téléchargements

Partager

Gmail Facebook X LinkedIn More