Bulletin of the American Physical Society
Fall 2022 Meeting of the APS Division of Nuclear Physics
Volume 67, Number 17
Thursday–Sunday, October 27–30, 2022; Time Zone: Central Daylight Time, USA; New Orleans, Louisiana
Session KM: Undergraduate Research I |
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Chair: Mike Youngs, Texas A&M Room: Hyatt Regency Hotel Imperial 9 |
Saturday, October 29, 2022 10:30AM - 10:42AM |
KM.00001: Automated classification of nuclear science literature in NucScholar using Natural Language Processing (NLP) Char Juin Chin The current means by which researchers and evaluators process nuclear bibliographic information begins at the Nuclear Science References (NSR) database, a platform of critical importance to the nuclear data pipeline. NucScholar seeks to use NLP to improve the effectiveness of NSR by automatically categorizing papers by subject matter, identifying keywords, and extracting data. This work explores the efficacy of different NLP techniques in classifying nuclear science papers as either experimental or theoretical. This was accomplished by preprocessing and vectorizing a sample of papers using Latent Semantic Analysis and doc2vec models before applying classification algorithms such as decision trees. The approach of logistic regression using doc2vec performed best with an >85% accuracy, whereas the clustering algorithm underperformed regardless of how the input vectors were generated. This work contributes to the development of NucScholar, a new NLP-based engine for the automated classification of nuclear science literature. |
Saturday, October 29, 2022 10:42AM - 10:54AM |
KM.00002: Integral method for fitting nuclear decay chains Richard L Mitchell, Mustafa M Rajabali, Charlie C Rasco The conventional method for determining unknown half-lives of isotopes in data that have many decay chains is by fitting radioactive decay curves using the Bateman equations. The fit gets difficult in cases with very low statistics on the fast-decaying components. To compensate for the low statistics, we propose a new method for fitting and extracting these half-lives. The new method consists of making a cumulative sum histogram of all the counts recorded from the radioactive isotope, then fitting the histogram with an integral of the Bateman method. An extensive analysis of this method was conducted with varying statistics, length of the decay chain, and a range of half-lives within the decay chains using simulated data. In this work we show results from the analysis and the new algorithm which was used to test the integral method. The utility of the integral method will also be discussed based on the results of the algorithm.
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Saturday, October 29, 2022 10:54AM - 11:06AM |
KM.00003: Studying the Nuclear Isomers of Thallium at the ISOLDE Decay Station Jordan R Cory At ISOLDE, proton beams from the Proton Synchrotron Booster are used to |
Saturday, October 29, 2022 11:06AM - 11:18AM |
KM.00004: Nuclear sensitivity studies of astrophysical r-process models Bianca J Pol, Hendrik Schatz, Ashley Francis, Luke F Roberts The intermediary steps of the nuclear rapid neutron capture process, or r-process, take place so far outside nuclear stability that many of the exotic nuclei involved have not been studied experimentally. With the opening of the Facility for Rare Isotope Beams (FRIB), experimental measurements of some of these species are finally within reach. This computational project provides an analytical framework for identifying the few key rare isotopes with the most potential to influence the outcome of the r-process. Using the modular nuclear reaction network Skynet, we perform sensitivity studies on the nuclei involved in the r-process. By varying the half-lives of each significant species involved in the computation, we identify which key nuclides could have the greatest effect on our current understanding of the r-process once its half-life is measured experimentally. |
Saturday, October 29, 2022 11:18AM - 11:30AM |
KM.00005: Towards the β-decay strength distribution of 67Co Jacob O Davis, Stephanie M Lyons, Artemis Spyrou, Sean Liddick, Rebecca Lewis, Darren L Bleuel, Katherine L Childers, Benjamin P Crider, Alexander C Dombos, Caley M Harris, Magne Guttormsen, Ann-Cecilie Larsen, Erin C Good, Alicia R Palmisano, Debra Richman, Nicholas D Scielzo, Anna Simon, Hannah C. C Berg, Mallory Smith, Adriana Sweet, Remco G Zegers Roughly half of the heavy isotopes are thought to be produced in the rapid-neutron capture process (r-process). Advances in the astrophysical realm of the r-process reveal a need for experimental data on short-lived neutron-rich nuclei. Half-lives and other β-decay properties have been shown to greatly impact final abundances of nuclei produced via the r-process [1]. The β-decay scheme of 67Co was measured using total absorption spectroscopy with the Summing NaI (SuN) detector at the National Superconducting Cyclotron Laboratory in furtherance of more accurate nucleosynthetic predictions. Measuring decays using this method overcomes the so-called “pandemonium effect”, which causes the β-feeding to high-lying excitation energies to be undetected using traditional techniques. The resulting β-decay intensities and subsequent Gamow-Teller strengths are compared to theoretical calculations used in current r-process models. [1] M. R. Mumpower, R. Surman, G.C. McLaughlin, A. Aprahamian. Progress in Particle and Nuclear Physics 86 (2016), 86-126. |
Saturday, October 29, 2022 11:30AM - 11:42AM |
KM.00006: Analyzing the Energy Resolution of a Lead-Tungstate Calorimeter for a Proposed Two-Photon Exchange Experiment Gabriel N Grauvogel The discrepancy between polarized and unpolarized measurements of the proton’s form factor ratio may be caused by two-photon exchange (TPE), though the evidence so far has been inconclusive. Recent attempts, including by the OLYMPUS Experiment, extracted the TPE contribution to elastic ep scattering by measuring the e+p to e-p cross section ratio, but have generally lacked both the energy and luminosity to probe kinematics where the discrepancy is large. The TPEX Experiment, proposed to run at DESY, aims to measure the same cross section ratio at momentum transfers exceeding 4.6 GeV2/c2 with a 3 GeV incident beam energy where the discrepancy is clear. TPEX will measure scattered leptons with a set of ten lead glass calorimeter arrays. These calorimeters will need sufficient energy resolution to distinguish elastic scattering events from pion electro-production, the principal background. I will present the results from the TPEX Spring 2022 Test Beam to extract the energy resolution of a prototype lead-tungstate calorimeter array as a function of temperature. I will incorporate these results into a GEANT4 simulation to demonstrate the background rejection performance of the TPEX calorimeters. These studies will indicate the feasibility of TPEX utilizing lead-tungstate crystals to reach the desired systematic goals, whether or not future test-beam experiments are required, and convey the status of the TPEX experiment. |
Saturday, October 29, 2022 11:42AM - 11:54AM |
KM.00007: FPGA-Based Scaler DAQ upgrade for SpinQuest Experiment Ethan Hazelton The SpinQuest experiment at Fermilab aims to perform the first Sivers function measurement on sea quarks using the Drell-Yan process to find evidence for non-zero orbital angular momentum of light antiquarks in the nucleon. In particular, the SpinQuest spectrometer will detect pairs of positive and negative muons from Drell-Yan production on polarized nucleons. In order to accurately guage spectrometer performance as well as properly calibrate the trigger system, a scaler data acquisition system(DAQ) is required. The current scaler system utilizes 3 independent scaler modules, each with 32 inputs, and an interrupt module connected via the VMEBus. The upgraded design will consist of a single V1495 FPGA(field-programmable gate array) board used as a 128-input scaler module equipped with interrupt functionality. The design and current status of the FPGA-based scaler DAQ upgrade for the SpinQuest experiment will be presented. |
Saturday, October 29, 2022 11:54AM - 12:06PM |
KM.00008: Neural Network Extrapolation of Many Body Methods on Infinite Matter Systems Bailey J Knight, Morten Hjorth-Jensen, Julie L Butler Computational methods for many-body nuclear theory such as many body perturbation theory (MBPT) and the coupled cluster theory (CC)are useful for exploring concrete properties of many body systems, such as the energy or the correlation energy. However, due to the scaling computational cost of these methods, it is often prohibitively time-consuming to execute these methods on larger systems of interest to a convergent value with respect to single particle states. MBPT and CC correlation energies were generated for the pairing model, as a simple test case, and for the infinite electron gas, as the two models have analytical results of their energies. Trained using this data from converged systems, various neural network routines were created to find the convergent value given only the first several results of these computational methods and basic properties of the many body systems. With these routines, it will be possible to estimate properties such as the energy of a many body system that is of a scale beyond what can be reasonably computationally modeled. Comparisons to the runtime for the true calculation versus generating the calculated convergent methods will also be presented to justify the use of neural network. With these infinite systems, we hope to extrapolate to the thermodynamic limit. |
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