2020 CAP Virtual Sessions / Sessions virtuelle de l'ACP 2020

Session

T-PPD-2 : Energy Frontier | Frontière d'energie

T-PPD-2

9 Jun 2020, 14:55

Virtual Platforms

Conveners

T-PPD-2 : Energy Frontier | Frontière d'energie

• Matthias Danninger (Simon Fraser University (CA))

Description

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33. Physics Performance Benchmarks For The New MoEDAL-MAPP Detector

Michael Staelens

09/06/2020, 14:55

Particle Physics / Physique des particules (PPD)

Invited Speaker / Conférencier(ère) invité(e)

The Monopole and Exotics Detector at the LHC (MoEDAL) experiment is the 7th LHC experiment; a pioneering experiment specifically dedicated to investigating beyond The Standard Model (SM) scenarios by searching for highly ionizing particles, such as magnetic monopoles or massive pseudo-stable charged particles and multiply electrically charged particles as avatars of new physics. Currently,...

34. Search for Supersymmetry with missing transverse momentum and multiple b-jets

Meisam Ghasemi Bostanabad (University of Victoria (CA))

09/06/2020, 15:10

Particle Physics / Physique des particules (PPD)

Invited Speaker / Conférencier(ère) invité(e)

A search for supersymmetry involving the pair production of gluinos decaying via third-generation squarks into the lightest neutralino (${\tilde{\chi }}_1^0$) is performed. The final state contains large missing transverse momentum, leptons, and several energetic jets (including at least three b-tagged jets). This presentation summarizes the recent ATLAS result on this search which was performed...

35. Machine Learning and Multiclassifiers for Improved Measurements of 2-Lepton Final States in the Higgs to WW Decay Channel in High Energy Physics Analyses

Matthew Basso (University of Toronto)

09/06/2020, 15:25

Particle Physics / Physique des particules (PPD)

Invited Speaker / Conférencier(ère) invité(e)

Multivariate analysis techniques have found widespread use in high energy physics for their ability to identify complex correlations and nonlinear behaviour within large, high-dimensional datasets. Machine learning (ML) is one such example whereby events of some known classification are input to a map with many free parameters. Determining the values of these free parameters which best...

36. Latest jet cross-section measurements by ATLAS

Jonathan Bossio (McGill University (CA))

09/06/2020, 15:40

Particle Physics / Physique des particules (PPD)

Invited Speaker / Conférencier(ère) invité(e)

Precise measurements of jet cross-sections are crucial in understanding physics at hadron colliders. They probe quantum chromodynamics (QCD), where jets are interpreted as resulting from the fragmentation of quarks and gluons produced in a short-distance scattering process. Jet cross-sections provide valuable information about the strong coupling constant, alpha_s, and the structure of the...

103. Highlights of recent results from the ATLAS experiment

Heather Russell (McGill University (CA))

09/06/2020, 15:55

Particle Physics / Physique des particules (PPD)

Invited Speaker / Conférencier(ère) invité(e)

The ATLAS experiment is currently analysing the proton-proton collision dataset collected from 2015 - 2018. This talk will highlight some of the newest results from ATLAS, focusing on results that are only now possible with 139/fb of 13 TeV data. Both new observations of rare standard model processes and searches for beyond the standard model physics will be discussed.

37. Belle II results

Steven Robertson (McGill University, (CA))

09/06/2020, 16:20

Particle Physics / Physique des particules (PPD)

Invited Speaker / Conférencier(ère) invité(e)

The Belle II experiment at the SuperKEKB collider in Tsukuba, Japan began physics data taking in 2019. With a target integrated luminosity of 50 ab-1, Belle II aims to record a data sample which is roughly 40 times larger than the combined samples of the preceding BABAR and Belle B factory experiments, enabling studies of b and c quark and tau lepton physics with unprecedented precision. The...