Bulletin of the American Physical Society
2020 Annual Meeting of the APS Four Corners Section (Virtual)
Volume 65, Number 16
Friday–Saturday, October 23–24, 2020; Albuquerque, NM (Virtual)
Session M04: Nuclear PhysicsLive
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Chair: Michael Dugger, Arizona State University |
Saturday, October 24, 2020 12:30PM - 12:42PM Live |
M04.00001: Two particles in a spherical box with effective field theory Feng Wu, Ubirajara van Kolck We study the problem of two particles interacting via short-range interactions within a spherical box in the framework of effective field theory. The three-dimensional delta potential and its derivatives are used to simulate the effects of the short-range interactions at different orders. We solve the problem in a truncated model space restricted by an ultraviolet regulator. Renormalization methods are used to obtain regulator independent observables. The leading-order (LO) interaction is iterated to all orders, whereas higher-order contributions are treated in perturbation theory. By considering systems with different scattering lengths and effective ranges, it is shown explicitly that going to next-to-LO systematically improves convergence as the model space increases. In the large-box limit, we recover the known result that the level shifts produced by the potential are proportional to the corresponding scattering phase shifts at the unperturbed energy. Our approach provides a basis for further study of many-body systems in restricted model spaces that respect spherical symmetry. [Preview Abstract] |
Saturday, October 24, 2020 12:42PM - 12:54PM Live |
M04.00002: Electromagnetic analysis of radiofrequency accelerating structures using VSim Salvador Sosa, Sandra Biedron, Trudy Bolin, Bruce Carlsten, John Cary, Mark Curtin In this contribution we showcase the use of the code VSim to the electromagnetic analysis of normal conducting, radio-frequency structures in two different frequency regimes and for two different applications. The first one is a radio-frequency quadrupole structure operating at 200 MHz and designed to accelerate a high intensity proton beam to 750 keV. The second type of structure is a compact, 5712 MHz (C-band) traveling wave Linac intended for accelerating electrons in future hard X-ray Free Electron Lasers. We discuss relevant electromagnetic figures of merit for both structure types and compare with preliminary results calculated with VSim. [Preview Abstract] |
Saturday, October 24, 2020 12:54PM - 1:06PM Live |
M04.00003: Production and Analysis of U$_{\mathrm{6}}$Nb Thin Films Logan Page Uranium alloys are important materials in nuclear energy production. Their durability and longevity are affected by their rates of oxidation. It is hypothesized that U$_{\mathrm{6}}$Nb alloys form a surface oxide layer that protects the internal composition from further oxidation. To determine the oxidation patterns of U$_{\mathrm{6}}$Nb, we are creating thin films of varying uranium-niobium ratios by sputtering in a vacuum-controlled environment. I have conducted analysis of the composition and properties of the produced thin films via ellipsometry, observing their behavior over time. Here I will present the results of the ellipsometry and their indications with respect to oxidation rates and patterns. [Preview Abstract] |
Saturday, October 24, 2020 1:06PM - 1:18PM Live |
M04.00004: Improving STJ Detectors for the Next Phase of the BeEST Experiment Spencer Fretwell \newline The BeEST Experiment is a search for keV scale sterile neutrinos using momentum reconstruction of 7Be electron capture decay in superconducting tunnel junction (STJ) detectors. These detectors are capable of operating at count rates of \textgreater 1,000 Hz whiles measuring the decay recoil energies with a resolution of 1 eV. While the BeEST has already produced competitive SN exclusion limits, future phases aim to improve these limits by several orders of magnitude through a new generations of multi-pixel arrays. In this talk we will present the progress of scaling the BeEST to large arrays with new materials to increase the sensitivity of the experiment in current and future phases. [Preview Abstract] |
Saturday, October 24, 2020 1:18PM - 1:30PM |
M04.00005: Machine Learning based LLRF control system for superconducting cavities Jorge Diaz Cruz, Reza Pirayesh, Sandra Biedron, Salvador Sosa, Manel Martinez-Ramon Producing more than 1450 peer reviewed scientific publications, the Linac Coherent Light Source (LCLS) is the first hard X-ray electron laser in the world. Due to its success, an upgrade to the facility, LCLS-II, was proposed and it is now under commissioning. One of the main upgrades is the use of superconducting cavities. LCLS-II will use 9-cell 1.3 GHz superconducting cavities. Due to the high quality factor and low beam charge, detuning of the cavities is a major issue for energy efficiency of the machine. The Low-Level Radio-Frequency (LLRF) control system and the resonance control system are in charge of providing a stable RF field to the cavities while keeping the resonance frequency of the cavities close to the nominal 1.3 GHz. In parallel to the LCLS-II developments, Machine Learning (ML) an Artificial Intelligence (AI) are tools that engineers and scientists are now using and exploring in the accelerator community. From image and data processing of colliders and FELs, to fault detection and control system tuning of subsystems of accelerators, ML and AI are showing better results than traditional techniques and are therefore promising in other subsystems. In this research, we present preliminary results of a LLRF control system based on a Neural Network (NN) using simulated data for the training, validation and test. We use the Theta supercomputer at the Argonne Leadership Computing Facility to produce the data and train the NN. [Preview Abstract] |
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