A calibration of the ATLAS flavour-tagging algorithms using a new calibration procedure based on optimal transportation maps is presented. Simultaneous, continuous corrections to the b-jet, c-jet, and light-flavour jet classification probabilities from jet-tagging algorithms in simulation are derived for b-jets using tbar t -> e mu nu nu b b data. After application of the derived calibration maps, closure between simulation and observation is achieved for jet flavour observables used in ATLAS analyses of Large Hadron Collider (LHC) Run 2 proton-proton collision data. This continuous calibration opens up new possibilities for the future use of jet flavour information in LHC analyses and also serves as a guide for deriving high-dimensional corrections to simulation via transportation maps, an important development for a broad range of inference tasks.

Null, N., Aad, G., Aakvaag, E., Abbott, B., Abdelhameed, S., Abeling, K., et al. (2025). A continuous calibration of the ATLAS flavour-tagging classifiers via optimal transportation maps. EUROPEAN PHYSICAL JOURNAL. C, PARTICLES AND FIELDS, 85(11) [10.1140/epjc/s10052-025-14682-0].

A continuous calibration of the ATLAS flavour-tagging classifiers via optimal transportation maps

Aielli, G.;Camarri, P.;Cerrito, L.;De Sanctis, U.;Di Ciaccio, A.;Giuli, F.;
2025-01-01

Abstract

A calibration of the ATLAS flavour-tagging algorithms using a new calibration procedure based on optimal transportation maps is presented. Simultaneous, continuous corrections to the b-jet, c-jet, and light-flavour jet classification probabilities from jet-tagging algorithms in simulation are derived for b-jets using tbar t -> e mu nu nu b b data. After application of the derived calibration maps, closure between simulation and observation is achieved for jet flavour observables used in ATLAS analyses of Large Hadron Collider (LHC) Run 2 proton-proton collision data. This continuous calibration opens up new possibilities for the future use of jet flavour information in LHC analyses and also serves as a guide for deriving high-dimensional corrections to simulation via transportation maps, an important development for a broad range of inference tasks.
2025
Pubblicato
Rilevanza internazionale
Articolo
Esperti anonimi
Settore PHYS-01/A - Fisica sperimentale delle interazioni fondamentali e applicazioni
English
Con Impact Factor ISI
Null, N., Aad, G., Aakvaag, E., Abbott, B., Abdelhameed, S., Abeling, K., et al. (2025). A continuous calibration of the ATLAS flavour-tagging classifiers via optimal transportation maps. EUROPEAN PHYSICAL JOURNAL. C, PARTICLES AND FIELDS, 85(11) [10.1140/epjc/s10052-025-14682-0].
Null, N; Aad, G; Aakvaag, E; Abbott, B; Abdelhameed, S; Abeling, K; Abicht, Nj; Abidi, Sh; Aboelela, M; Aboulhorma, A; Abramowicz, H; Abreu, H; Abulai...espandi
Articolo su rivista
File in questo prodotto:
File Dimensione Formato  
epjc.85.1272.pdf

accesso aperto

Tipologia: Versione Editoriale (PDF)
Licenza: Creative commons
Dimensione 7.02 MB
Formato Adobe PDF
7.02 MB Adobe PDF Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2108/438403
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact