Bulletin of the American Physical Society
APS April Meeting 2023
Volume 68, Number 6
Minneapolis, Minnesota (Apr 1518)
Virtual (Apr 2426); Time Zone: Central Time
Session SS02: V: Physics Education: GeneralEducation Undergrad Friendly Undergraduate

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Sponsoring Units: FED APS SPS Chair: Daniel Claes, University of Nebraska  Lincoln Room: Virtual Room 2 
Tuesday, April 25, 2023 2:30PM  2:42PM 
SS02.00001: Understanding electromagnetism by reviewing the fundamental concepts. Magdalena Waleska Aldana Segura, Julian Felix Valdez The description of regional hybrid electromagnetics courses implemented during the pandemic are described. Exercises and books that are frequently not contextualized and produced for different audiences from the ones where they are used are prioritized in traditional curriculum.This provides a learning challenge for pupils, frustrating them and leading them to misunderstand the fundamental principles of Physics. 
Tuesday, April 25, 2023 2:42PM  2:54PM 
SS02.00002: Single and double touch mode capacitive pressure/force sensing technique and approach Nazek ElAtab, Rishabh B Mishra, Aftab Hussain The cantilevers and diaphragms are extensively explored mechanical elements to design and fabricate normal mode capacitive pressure sensors. However, monitoring large pressure ranges and obtaining linearized capacitance change response w.r.t pressure is quite challenging. Therefore, in order to investigate and solve the problem, singletouch and doubletouch mode capacitive sensing techniques are explored. The affordable materials such as aluminiumcoated polyimide foil, double sided tape, polyimide tape and posted paper are utilised to fabricate the sensors. The experimental characterisation of sensors is performed using developed airpressure setup which is experimentally calibrated using commercially available (MS580314BA) micropressure sensors. The CO_{2} Laser (Universal Laser Systems PLS6.75) is utilised to cut the diaphragms, doublesided and polyimide tape. The Keithley Semiconductor Characterization System (Model4200 SCS) is used to perform capacitance measurements for characterizing the sensor. The fabricated singletouch mode capacitive pressure sensor shows linear response for 1040 kPa pressure range, whereas doubletouch mode capacitive pressure sensor shows linear response of 14.2454.9 kPa.

Tuesday, April 25, 2023 2:54PM  3:06PM 
SS02.00003: No Catch22 for Fuzzy Dark Matter: testing substructure counts and core sizes via high resolution cosmological simulations Sana Elgamal, Matto Nori, Andrea Macciò, Stefan Waterval Fuzzy Dark Matter (FDM) has recently emerged as an interesting alternative model to the standard Cold Dark Matter (CDM). In this model, dark matter consists of very light bosonic particles with quantum mechanical effects on galactic scales. Since the smallscale behaviour of FDM is completely determined by the mass of the FDM particle, constraining the FDM axion mass remains a crucial test that would allow FDM to be verified or potentially excluded by existing observations. Using the Nbody code AXGADGET, we perform cosmological simulations of FDM that fully model the dynamical effects of the quantum potential throughout cosmic evolution. Through the analysis of FDM volume and highresolution zoomin simulations of different FDM particle masses (m_{χ} ∼ 10^{−23} − 10^{−21} eV), we study how FDM impacts the abundance of substructure and the inner density profiles of dark matter subhalos, respectively. For the first time, using our FDM volume simulations, we provide a fitting formula for the FDMtoCDM subhalo mass function ratio as a function of the FDM axion mass. Through comparison of our simulation results with observational inferences of the lowmass end of the subhalo mass function and the density profiles of dwarf galaxies surrounding the Milky Way, we will then place a constraint on the FDM axion mass. 
Tuesday, April 25, 2023 3:06PM  3:18PM 
SS02.00004: Study of properties of bjets in the interactions of Pb + Pb at the energy √s_{NN} = 5.02 TeV Ricardo E Parra Payano Heavyion collisions at ultrarrelativistic speeds are performed due to their ability to form QGP. The creation of this primordial matter not tightly bound into hadrons, provides a useful insight on the properties of matter. The aim of this work is to present a software developed to study the jetquenching of bjets in heavyion collisions utilising Monte Carlo simulations of the ATLAS detector. This software validates that the simulations generated using Pythia 8.2 with parton distribution functions (PDFs) NNPDF23LO and GEANT 4, has the correct data contents and prepares an event display visualising the bjets, cjets and ljets. Finally, comparisons between the behavior of b and cjets respective to ljets are shown and discussed. 
Tuesday, April 25, 2023 3:18PM  3:30PM 
SS02.00005: ILoveQ in Einsteinaether theory Kai Vylet, Siddarth Ajith, Kent Yagi, Nicolas Yunes Although local Lorentz invariance is a staple of General Relativity (GR), there are several reasons to believe it may not hold in a more advanced theory of gravity, such as quantum gravity. A way to investigate and test Lorentz symmetry violation is to study it within modifications to GR. One such modified theory is Einsteinaether theory, which breaks Lorentz symmetry by introducing a dynamical vector field called the aether. The aether is timelike and points out a preferred time direction at each point in space. Einsteinaether theory has four coupling constants that characterize deviations from GR and which must be determined, or constrained, by experimental observations. Although three of the four parameters have been constrained by various empirical observations and stability requirements, one, called cω, remains unconstrained. The goal of this work is to see if it is feasible to use neutron star observables to constrain cω. Specifically, we aim to see if a constraint can be derived from the ILoveQ universal relations, which are relations between the neutron star moment of inertia (I), tidal Love number (Love), and quadrupole moment (Q). These relations are useful for utilizing neutron star observables because they are insensitive to uncertainties in the neutron star equationofstate. We find that the ILoveQ relations in Einsteinaether theory are insensitive to cω and that they are close to the relations in GR. These results indicate that to constrain the theory with neutron stars, it is necessary to investigate other relations and observables, such as stellar oscillation frequencies. 
Tuesday, April 25, 2023 3:30PM  3:42PM 
SS02.00006: Analysis of Energies and Nodes through a FirstOrder Schrodinger Equation Ben Lou For most potentials, the Schrödinger equation does not admit exact solutions. However, some exact bounds are possible. We transform the onedimensional timeindependent Schrodinger equation into a wellbehaved first order differential equation. Many properties of energy eigenfunctions are seen geometrically through the direction field of the transformed Schrodinger equation. Using quasieigenfunctions, we prove a generalization of the node theorem which yields the number of nodes of the quasieigenfunction based on the position of the quasieigenfunction's energy in the system's energy spectrum. We use these results to prove bounds on the energies of perturbed potentials. Unlike standard perturbation theory results, this treatment remains valid even for large perturbations, allowing us to address problems where perturbation theory is not applicable. This work provides a novel method to analyze quantum mechanics problems that is complementary to well established perturbation theory, variational principle, and WKB techniques. 
Tuesday, April 25, 2023 3:42PM  3:54PM 
SS02.00007: Normalizing Flows for Multimodal and ExtendedMode Lattice Field Theories Sahil Pontula, Daniel Hackett, Phiala E Shanahan Probability distributions are ubiquitous in physics and form the basis for our descriptions of quantum and statistical systems. For example, the field of lattice quantum field theory examines physical theories in the strong coupling regime where perturbative methods cannot be applied, conventionally requiring calculations that involve numerically intensive Monte Carlo sampling of field configurations. Normalizing flows have emerged as a promising class of generative machine learning models that learn and exactly sample from complicated target distributions. Here, we discuss the application of normalizing flows as samplers for lattice quantum field theories. In example applications to toy lattice field theories, we incorporate physical constraints such as symmetry into the flow architecture, overcoming the issue of partial mode structure undersampling often seen in normalizing flows applied to theories with spontaneous symmetry breaking. The resulting generative models are shown to capture the full mode structure of the target distribution. 
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