Phenomenology 2022 Symposium: From Virtual to Real

Session

Tools I

9 May 2022, 14:15

Lawrence Hall 203

Conveners

Tools I

• Richard Ruiz (Institute of Nuclear Physics (IFJ) PAN)

184. Probing CP-violation and thermal history of our Universe with Higgs physics

Dorival Gonçalves (Oklahoma State University)

09/05/2022, 14:15

Searching for new sources of CPV and uncovering the mechanism behind EWSB are cornerstones of the LHC program and forthcoming experiments, such as FCC and LISA. First, we show how collider measurements and observations of stochastic gravitational-wave signals can complement each other to explore the multiform scalar potential in the 2HDM. The well-motivated 2HDM leads to a rich phase...

108. Deep Neural Networks to Search for BSM Physics at the Fermilab SBN Program

Jamie Dyer

09/05/2022, 14:30

The Fermilab Short Baseline Neutrino (SBN) program offers excellent opportunity for new physics searches due to its high intensity of protons on target and the exceptional particle identification and reconstruction capabilities of Liquid Argon Time Projection Chambers (LArTPCs). One such example is the demonstrated sensitivity of the program’s detectors to dilepton pairs originating from...

64. Azimuthal Angular Correlation as a New Boosted Top Jet Substructure

Zhite Yu

09/05/2022, 14:45

We propose a novel jet substructure observable of boosted tops that is related to the linear polarization of the W boson in boosted top quark decay, which results in a cos 2φ angular correlation between the t → bW and W → ff′ decay planes. The degree of this angular correlation can be used to measure the longitudinal polarization of a boosted top quark, which is an important probe of new...

19. Modeling Hadronization using Machine Learning

Ahmed Youssef

09/05/2022, 15:00

In this talk, I will present the first steps in the development of a new class of Hadronization Models utilizing machine learning techniques. We successfully implement, validate, and train a conditional sliced-Wasserstein autoencoder to replicate the Pythia generated kinematic distributions of first-hadron emissions when the Lund string model of hadronization implemented in Pythia is...

18. Constraining CP-violation in the Higgs-top-quark interaction using machine-learning-based inference

Henning Bahl

09/05/2022, 15:15

While CP violation in the Higgs interactions with massive vector boson is already tightly constrained, the CP nature of the Higgs interactions with fermions is far less constrained. In this talk, we assess the potential of machine-learning-based inference methods to constrain CP violation in the Higgs top-Yukawa coupling. This approach enables the use of the full available kinematic...

146. Generative Networks for Precision Enthusiasts

Theo Heimel (Heidelberg University)

09/05/2022, 15:30

Generative networks are opening new avenues in fast event generation for the LHC. We show how generative flow networks can reach percent-level precision for kinematic distributions, how they can be trained jointly with a discriminator, and how this discriminator improves the generation. Our joint training relies on a novel coupling of the two networks which does not require a Nash equilibrium....

201. Symmetries, Safety, and Self-Supervision

Barry Dillon (University of Heidelberg)

09/05/2022, 15:45

Collider searches face the challenge of defining a representation of high-dimensional data such that physical symmetries are manifest, the discriminating features are retained, and the choice of representation is new-physics agnostic. We introduce JetCLR to solve the mapping from low-level data to optimized observables though self-supervised contrastive learning. As an example, we construct a...