Bulletin of the American Physical Society
2021 Annual Meeting of the APS Four Corners Section
Volume 66, Number 11
Friday–Saturday, October 8–9, 2021; Virtual; Mountain Daylight Time
Session J03: Particle Physics II |
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Chair: Astrid Morreale, Los Alamos National Laboratory |
Saturday, October 9, 2021 10:45AM - 11:09AM |
J03.00001: Phenomenology of Dark Sectors at the Short-Baseline Neutrino Experiments Invited Speaker: Joshua Berger Recent work has demonstrated that the Short-Baseline Neutrino (SBN) Experiments will have leading sensitivity to several dark sector scenarios. Two of these experiments have begun taking data and will be able to probe dark sector physics in the near future. I provide an overview of the capabilities of these experiments to probe dark sector physics, focusing on two well-motivated scenarios: Higgs portal mediators and inelastic dark matter. Using leading new event generation techniques, simulated signals of these models are compared with backgrounds. I propose several different, complementary strategies for maximizing the sensitivity to dark sector physics. All three SBN experiments will be able to probe new ground in these models. [Preview Abstract] |
Saturday, October 9, 2021 11:09AM - 11:21AM |
J03.00002: Exploring the Q-Ball Solution Space Ethan Edwards, Chris Verhaaren Q-balls, soliton solutions of certain scalar field theories, provide an interesting candidate for macroscopic dark matter. Gauged Q-balls are of particular interest since scalar and gauge field interactions limit their size. While researchers have found several types of soliton solutions, whether all have been discovered remains an open question. I introduce gauged Q-balls and related solitons, along with a process for determining all soliton types. [Preview Abstract] |
Saturday, October 9, 2021 11:21AM - 11:33AM |
J03.00003: Cogeneration of Baryons and Twin Quark Dark Matter Christopher Verhaaren Twin Higgs models explain the little hierarchy problem and provide a predictive realization of a richly varied dark sector. I outline an extension of the twin Higgs framework that produces baryogenesis and a novel asymmetric dark matter candidate. I then discuss how this scenario can be tested at current and future experiments. [Preview Abstract] |
Saturday, October 9, 2021 11:33AM - 11:45AM |
J03.00004: Searching for Cosmic String using data from the third Advanced LIGO-Virgo observing run Fengwei Yang Cosmic string network generically appears in many natural extensions of particle SM. And cosmic strings are one-dimension topological defects which can be formed in grand unified theory scale phase transitions in the early universe and are also predicted to form in the context of string theory. The main mechanism for a network of Nambu-Goto cosmic strings to lose energy is through the production of loops and the subsequent emission of GW, thus offering an experimental signature for the existence of cosmic strings. And the unresolvable GW bursts produced by cosmic strings at different loop scale and cosmic time will overlap with each other and form a stochastic GW background (SGWB). We performed the parameter estimation in three cosmic string models using the third Advanced LIGO-Virgo observation run isotropic stochastic search results. We also consider a new source component in the model, i.e. kink-kink collision, using more realistic model parameters. [Preview Abstract] |
Saturday, October 9, 2021 11:45AM - 11:57AM |
J03.00005: Using Boosted Decision Trees to Search for Long-lived Particles Decaying in the ATLAS Muon Spectrometer. Nathan Herling Long-lived particles (LLP's) are predicted to be produced at the Large Hadron Collider by several Beyond the Standard Model theories. A search for events with one displaced vertex in the Muon Spectrometer from a long-lived particle is underway using data collected by the ATLAS detector at the LHC. Details of this search are presented including the use of boosted decision trees to separate signal from background events. The K-fold algorithm is used as a benchmark machine learning model. Optimization of the K-fold algorithm is accomplished using hyperparameter grid searches. Results on the accuracy of the K-fold algorithm in classifying signal and background events are presented. [Preview Abstract] |
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