Phenomenology 2019 Symposium

Session

BSM III

8

7 May 2019, 14:00

105 (Lawrence Hall)

Conveners

BSM III

• John Alison (Carnegie-Mellon University (US))

846. Searches for new heavy resonances in final states with leptons, photons, and jets at CMS

Norbert Neumeister (Purdue University (US))

07/05/2019, 14:00

parallel talk

714. Machine learning in event selection: Improving the supervisory signal and output usage

Prasanth Shyamsundar (University of Florida)

07/05/2019, 14:15

parallel talk

Recently machine learning methods like artificial neural networks and boosted decision trees are being used with great success in the task of event selection in collider physics data analysis, in order to improve the significance of a potential excess or the precision of a parameter measurement. But traditional classification cost functions used for training these ANNs aren't geared directly...

664. Electroweak Sector Under Scrutiny: A Combined Analysis of LHC and Electroweak Precision Data

Mr Nuno Agostinho (Universitat de Barcelona)

07/05/2019, 14:30

parallel talk

We perform a comprehensive study of the Higgs couplings, gauge-boson couplings to fermions and triple gauge boson vertices. We work in the framework of effective theories including the effects of the dimension-six operators contributing to these observables. We determine the presently allowed range for the coefficients of these operators via a 20 parameter global...

778. Searching for New Dimuon Resonances at the LHC with CMS Open Data

Cari Cesarotti (Harvard University)

07/05/2019, 14:45

parallel talk

We study dimuon events in 2.11/fb of 7 TeV pp collisions, using CMS Open Data, and search for a narrow dimuon resonance with moderate mass (14-66 GeV) and substantial transverse momentum (pT). Applying dimuon pT cuts of 25 GeV and 60 GeV, we explore two overlapping samples: one with isolated muons, and one with prompt muons without an isolation requirement. Using the latter sample requires...

757. MadMiner: An inference toolkit for particle physics

Felix Kling (University of California, Irvine)

07/05/2019, 15:00

parallel talk

Processes in particle physics are often described by a large number of observables that can carry information on the theory parameters of interest. This proves a challenge for traditional analysis methods, which struggle to extract all of this information. However, recently, a family of new inference techniques combining matrix element information and machine learning has been developed....

812. Kinematic Wavelet Analysis Kit

Benjamin Lillard (University of California, Irvine)

07/05/2019, 15:15

parallel talk

We introduce a new approach for the global analysis of kinematic distributions, using a wavelet transformation to search for signals of new physics. Many LHC analyses search for bumps or other anomalous patterns as local deviations from a background model. Wavelets allow us to extract global information from the entire distribution, while retaining the local aspect of simple modifications. We...

863. Fermion Mass Hierarchy and Phenomenology in the 5D Domain Wall Standard Model

Desmond Villalba (University of Alabama)

07/05/2019, 15:30

parallel talk

867. 8 TeV better than 13: Dark Mesons at LHC

Tom Tong (University of Oregon)

07/05/2019, 15:45

parallel talk

A new, strongly-coupled dark sector could be accessible to LHC searches now. We recast a vast set of existing LHC searches to determine the current constraints on (and future opportunities for) those dark meson production and decay. In some model scenarios, we find the 8 TeV same-sign lepton search strategy sets the best bound. The relative insensitivity of LHC searches, especially at 13 TeV,...

857. .

847. Search for BSM Physics using Challenging Signatures with the ATLAS detector

Jyoti Prakash Biswal (Tel Aviv University (IL))

parallel talk