• Tidak ada hasil yang ditemukan

Levelforaward;(Hons,MSc,PhD,N/A)? Applytobeconsideredforastudent;award(Yes/No)? ExtractionoftheTopQuarkYukawaCoupling SAIP2023

N/A
N/A
Protected

Academic year: 2024

Membagikan "Levelforaward;(Hons,MSc,PhD,N/A)? Applytobeconsideredforastudent;award(Yes/No)? ExtractionoftheTopQuarkYukawaCoupling SAIP2023"

Copied!
1
0
0

Teks penuh

(1)

SAIP2023

Contribution ID:138 Type:Oral Presentation

Extraction of the Top Quark Yukawa Coupling

Friday, 7 July 2023 11:20 (20 minutes)

An exploration into machine-learning based optimisation techniques applied to the extraction of the top quark Yukawa coupling (Yt) from top quark pair production in the dilepton final state, using proton colli- sions recorded by the ATLAS experiment in LHC run 2 and 3 is presented. Electroweak corrections for the exchange of the Higgs boson between the top quark and the top anti-quark for different values ofYtresult in changes to the kinematic distributions of the top quark and top anti-quark system close to thet¯tproduction energy threshold. The aim of this analysis is to use the kinematic distributions of thet¯tevents in the dilepton final state to constrain the value forYt. The observables that are most sensitive toYtare the invariant mass of thet¯tsystem,mt¯t, and the difference in rapidity,∆yt¯t. As the decay products of thet¯tsystem involve neutrinos in the dilepton final state, reconstructing the top quark and top anti-quark introduces resolution ef- fects and additional systematic uncertainties. The proxy observablesml¯lb¯b(invariant mass of thel¯lb¯bsystem) and∆ylblb(the difference in rapidity between the twolbpairs) are used to mitigate this effect. In this talk, I will discuss the current state of the project, as well as future plans.

Apply to be considered for a student ; award (Yes / No)?

No

Level for award;(Hons, MSc, PhD, N/A)?

MSc

Primary author: MITCHELL, James Presenter: MITCHELL, James

Session Classification: Nuclear, Particle and Radiation Physics Track Classification: Track B - Nuclear, Particle and Radiation Physics

Referensi

Dokumen terkait

SAIP2022 Contribution ID:125 Type:Oral Presentation Comparison between the empirical, machine and deep learning techniques to predict global solar irradiance for Mutale area in

SAIP2023 Contribution ID:243 Type:Oral Presentation Re-Positioning the Department of Physics and Astronomy at UWC for Natural and Physical Sciences teachers training and development

SAIP2022 Contribution ID:167 Type:Poster Presentation Simulating Solar Energetic Particle Transport As Observed By Solar Orbiter Monday, 4 July 2022 12:45 15 minutes Modelling solar

The system was programmed to prioritize the load and excess used to charge the battery which was then used as a source of energy to compliment the PV during the day and in night-time

XPS analysis indicated that the improved gas sensing results stem from the maximum number of oxygen vacancies and chemisorbed oxygen species induced by the introduction of Cr dopant ion

SAIP2022 Contribution ID:29 Type:Oral Presentation Interferometric orbital angular momentum mode detection in turbulence with deep learning Tuesday, 5 July 2022 15:30 15 minutes

SAIP2021 Contribution ID:289 Type:Oral Presentation Leveraging Artificial Intelligence and Quantum Machine Learning for economic growth in Africa Tuesday, 27 July 2021 15:45 15

SAIP2021 Contribution ID:82 Type:Oral Presentation The effects of global radical changes on students’ attitudes in the new mode of teaching and learning Tuesday, 27 July 2021 12:00