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A System And Method For Measuring Spatially Varying Surface Appearances With A Study Of Feathers, Jessica Baron-Lis

All Dissertations

Real-world materials, particularly biological structures such as feathers exhibit complex appearances that vary spatially across their surfaces. The field of computer graphics provides a means of understanding such surfaces through material modeling which uses both analytical models and data acquired from light-surface interactions. There are many efforts within the past decade in measuring materials for graphics, but common limitations in these works include not accounting for spatially varying properties and reliance on neural networks and synthetic datasets.

Feathers from modern birds present diverse appearances due to how light interacts with their unique hierarchical microstructures. Variations in those structures lead to …

Conservation Laws For Asymptotically Perfect Fluid Spacetimes, Lyle Arnett Jr.

All Graduate Theses and Dissertations, Fall 2023 to Present

In physics, conservation laws, like those for energy or momentum, are powerful tools that help us understand how systems evolve and interact. In general relativity, where spacetime itself is curved by matter and energy, defining such conservation laws becomes especially subtle and complex. Traditional methods rely on idealized conditions like empty space or special symmetries, which limit their usefulness in more realistic, dynamic settings such as an expanding universe.

This dissertation explores a modern mathematical framework, developed by Iyer and Wald, that allows conservation laws to be derived directly from the equations governing spacetime. Using this approach, I examine not …

New Mathematical Approaches To Ultra-Cold Atoms, Joanna Ruhl

Graduate Doctoral Dissertations

This dissertation addresses three main themes: cold atoms, integrability, and number theory. In this dissertation we present novel approaches to four models, each of which touches on at least two of the three themes. At the intersection of cold atoms and integrability, we present a Lagrange bracket formalism that allows for exact computation of initial quantum fluctuations of soliton breathers which previously could only be estimated numerically, and the advance in software tools developed in Python to facilitate studies of two-dimensional disc breathers. At the intersection of integrability and number theory, we present a propagator for the Newman-Moore, or triangular …

Glacial-Interglacial And Millennial-Scale Changes In Nitrous Oxide Emissions Pathways And Source Regions, J. A. Menking, J. E. Lee, E. J. Brook, J. Schmitt, L. Soussaintjean, H. Fischer, J. Kaiser, A. Rice

Physics Faculty Publications and Presentations

During the transition from the Last Glacial Maximum (LGM) to the Holocene, the atmospheric N2O mole fraction increased by 80 nmol mol−1. Using ice core measurements of N2O isotopomer ratios, we show that this increase was driven by increases in both nitrification and denitrification, with the relative partitioning between both production pathways depending on the assumed isotopic end‐member source signatures. Similarly, we also attribute a 35 nmol mol−1 N2O mole fraction increase during the Heinrich Stadial 4/Dansgaard Oeschger 8 (HS4/DO8) millennial‐scale event to increases in both N2O production pathways. In contrast, the 25 nmol mol−1 N2O mole fraction decrease during …

Predicting Healthcare Service Quality Based On A Kalman-Optimized Bi-Lstm-Inspired Deep Learning Model, Mohammed K. Al-Khafaji, Eman S. Al-Shamery

Karbala International Journal of Modern Science

Health is one of the most important aspects of human well-being, and access to high-quality healthcare is essential for a good quality of life. Providing top-level health services at all times is crucial. However, the research in healthcare poses significant challenges due to the diversity and variations of medical practices across different hospitals. This paper aims to tackle the challenge of data missing and scattering during data collection. Then, the quality of services (QoS) offered by healthcare facilities will be analyzed and predicted from the patient's perspective. The model begins preprocessing data by data cleaning, handling missing values, and scattering …

Photometric Redshifts Of Galaxies In Quasar Fields, Ananthavishnu Santhigiri Unni

Theses and Dissertations

Understanding the gas in and around galaxies is crucial for understanding galaxy evolution. Absorption lines detected in the spectra of background quasars offer a powerful tool to study the gas in and around the intervening galaxies. As a part of an effort to understand how the gas interacts with the stellar component of galaxies, our team previously obtained imaging and spectroscopic observations for a large sample of galaxies using the Hubble Space Telescope (HST), the Very Large Telescope (VLT), and the Atacama Large Millimeter Array (ALMA). This sample includes thousands of galaxies, including many without spectroscopic data. The overall goal …

Computational Modeling Of Poly-Peptide Chains, Nathan F. Surles, Kaitlin A. Edwards

ATU Scholars Symposium

Investigations of the structural properties of polypeptides are essential for understanding their conformational behavior, stability, and potential biological interactions. In this study, we employed computational techniques to determine the optimized structures of two model polypeptides: tri-glycine and di-tryptophan.

Implications Of The Cosmic Calibration Tension Beyond ��₀ And The Synergy Between Early- And Late-Time New Physics, V. Poulin, Tristan L. Smith, R. Calderón, T. Simon

Physics & Astronomy Faculty Works

The cosmic calibration tension is a >5⁢�� discrepancy between the cosmological distance ladder built from baryonic acoustic oscillations calibrated by the Planck/Λ cold dark matter (Λ⁢CDM) sound horizon (��_��) and type Ia supernovae calibrated instead with the SH0ES absolute magnitude, assuming the distance-duality relationship holds. In this work, we emphasize the consequences of this tension beyond the value of the Hubble constant ��₀ and the implications for physics beyond Λ⁢CDM. Of utmost importance, it implies a larger physical matter density ��ₘ≡Ωₘ⁢ℎ², as both the fractional matter density Ωₘ and ℎ ≡��₀⁡/100 km/s/Mpc are well constrained from late-time data. …

Measuring Small Currents At Fast Speeds Using A 2nd Generation Electrometer, Donna Metcalf

Physics Capstone Projects

This project presents the development of a second-generation electrometer designed to measure extremely low currents with improved speed and sensitivity. Based on the foundational architecture developed by Vladimir Zavylov, this iteration focuses on enhancing performance through optimized circuit components, modular configuration, and a custom-designed, battery- powered power supply that enables high-voltage floating measurements. The work encompasses the complete design cycle—creating a full schematic, developing a tailored power delivery system, assembling printed circuit boards (PCBs), constructing wiring harnesses, and integrating components into a protective housing.

Lunar Secondary Crater Identification Through Semi-Automated Data Aggregation: The Beginnings Of The Pipeline, Annalyse Dickinson

Physics and Astronomy Honors Papers

Based on the number of primary craters on a surface, one can determine the age of that surface, but secondary craters contaminate that count. No single characteristic can distinguish primaries from secondaries with certainty; a feature that is present in one collection of secondaries can be absent in another due to the multitude of processes involved in their formation and degradation. We aim to develop a pipeline that will classify craters based on characteristics that have been used to differentiate secondaries on the Moon, including elevation profiles, degradation state, radar circular polarization ratio, rock abundance, and spatial clustering. We utilize …

Computational Analysis Of Proton Conductivity Factors In Grotthuss-Style Mechanisms, Brock Dyer

Physics and Astronomy Honors Papers

The mechanism and fundamental molecular properties involved in proton conduction are discussed. Four calculable properties are presented: the proton affinity, binding energy (between protonated and neutral forms), intramolecular tautomerization barrier, and proton hopping barrier. An overview of the computational methods used in this thesis, including an introduction to the many-body Schrödinger equation and Density Functional Theory, as well as a look at Plane-Wave Density Functional Theory and Gaussian-Type Orbital Density Functional Theory are presented. 4,5-dimethyl-[1,2,3]-triazole is used as a model system, with 10 variations being generated with varying amounts and positions of fluorine substitution on the methyl groups. Preliminary calculations …

Microwave Frequency Probes Of Graphene, Xinyi Du

Arts & Sciences Graduate Student Theses and Dissertations

We investigate high-frequency microwave spectroscopy as a probe of the electronic structure of graphene, focusing on compressibility, magnetic response, and the potential for detection applications. Graphene is a single layer of carbon atoms arranged in a hexagonal lattice, exhibiting unique electronic properties due to its band structure and reduced dimensionality. While traditional compressibility measurements rely on low-frequency capacitance techniques, this thesis explores a high-frequency approach using superconducting resonators to probe the compressibility of graphene in the GHz regime. Originally conceived as a means to examine the diamagnetic response, the method faces fundamental limitations due to resistive losses, revealing key challenges …

Volume 16, Maggie Duncan, Madeline Little, Alicia Hoffman, Megan Livesay, Gabrielle Quaresma, Serenity Allen, Laina Pfountz, Ainslie Allred, Sabrina Robles, Nicholas J. Duellman, Trinity L. Deguzman, Melissa H. Savage, Margaret Dudley, Jocelyn Escobar, Olivia Hildreth, Olivia Hopkins, Benjamin Gettier, Lee Kassay, Jade Riddle, Ashley Seiders

Incite: The Journal of Undergraduate Scholarship

Introduction Dr. Amorette Barber, Director, Office of Student Research

From the Editor Dr. Hannah Dudley-Shotwell

Artist’s Statement Maggie Duncan

On Mentoring Dr. Lee Millar Bidwell

The Hujum Campaign in Uzbekistan and its Consequences by Madeline Little

Wet Cupping Compared to Dry Needling for Treatment of Patients with Low Back Pain: A Critically Appraised Topic by Alicia Hoffman and Megan Livesay

Optimization of eDNA Air Sampling Via 3D Printed Fan by Gabrielle Quaresma

Beyond the Classroom: A Qualitative Study of Teacher Attrition and Retention by Serenity Allen and Laina Pfountz

The Treatment of Subacromial Impingement Syndrome with Platelet-Rich plasma Injections Verses …

Developing An Unfolding-Incorporated Coarse-Grained Polymer Model For Fibrinogen To Study The Mechanical Behaviour, Vivek Sharma, Poulomi Sadhukhan

Northeast Journal of Complex Systems (NEJCS)

Fibrinogen is a protein found in blood that forms Fibrin polymer network to build a clot during wound healing process when there is a cut in the blood vessel. The fibrin fiber is highly stretchable and shows a complex mechanical properties. The fibrin monomer, Fibrinogen, has a very complex structure which is responsible for its unusual elastic behaviour. In this work, we focus on mechanism of unfolding of D-domain of Fibrinogen, and study its effect in the mechanical behaviour. We develop a coarse-grained (CG) bead-spring model for Fibrinogen which captures the unfolding of folded D-domains along with other necessary structural …

Understanding Flow: An Experimental Analysis Of A Magnetohydrodynamic Fluid Pump, Quintin Yates, Emily Hawkins

Honors Thesis

When a magnetic field and electrical current are perpendicular to each other, an ionized fluid will experience a force called the Lorentz force. This force can be applied to create a pump. These pumps have potential applications in desalination and fluid systems in space. The technology is new, and still not well understood but are a potential alternative to typical mechanical pumps. This thesis develops a comprehensive experimental understanding of the fluid flow through a 3D-printed magnetohydrodynamic (MHD) pump. Lagrangian particle tracking (LPT) uses neutrally buoyant particles and a camera system to collect quantitative velocity information of a system. Particle …

Speed Of Shear Waves As A Function Of Frequency In Micellar Fluid, Michael Basha

Honors Theses

The purpose of this experiment was to investigate the frequency dependence of shear wave speed in a micellar fluid. A high-concentration CTAB-NaSal micellar fluid seeded with microspheres was used in the experiment. Shear waves were generated using a wave driver and a function generator, while a high-speed camera captured video recordings. Since the frequency of the wave driver producing the shear waves in the micellar fluid is a constant value set by the experimenter, changes in shear wave speed can be determined by measuring their wavelengths at different frequencies.The captured video was then broken down into frames using MATLAB. These …

Detection And Parameter Estimation Of Supermassive Black Hole Ringdown Signals Using A Pulsar Timing Array, Xuan Tao, Yan Wang, Soumya D. Mohanty

Physics & Astronomy Faculty Publications

Gravitational wave (GW) searches using pulsar timing arrays (PTAs) are commonly assumed to be limited to a GW frequency of ≲4 ×10−7  Hz given by the Nyquist rate associated with the average observational cadence of 2 weeks for a single pulsar. However, by taking advantage of asynchronous observations of multiple pulsars, a PTA can detect GW signals at higher frequencies. This allows a sufficiently large PTA to detect and characterize the ringdown signals emitted following the merger of supermassive binary black holes (SMBBHs), leading to stringent tests of the no-hair theorem in the mass range of such systems. Such large-scale …

Statistical Study Of Solar Wind Conditions Prior To Substorm Onsets, Luke H. Francis

Doctoral Dissertations and Master's Theses

Due to complex, multi-region, coupled plasma systems, auroral substorm onsets have been historically difficult to predict. The northward turning of the interplanetary magnetic field was considered the primary candidate as an external triggering mechanism for substorm onsets. However, that was later shown to be coincidental in nature. This study is motivated by recent multi-spacecraft observations that show how several magnetosheath jets at the bow shock were heavily correlated to substorm onsets, indicated by a strongly radial IMF interval. In the past, studies have looked at small samples of substorms in order to make large-scale predictions. However in this study, a …

Rotating Anisotropic Bose Gas With Large Number Of Vortices, Ahmet Keleş

Turkish Journal of Physics

Rapidly rotating atomic gases provide a platform for studying phenomena akin to type-II superconductors and quantum Hall systems. Recently, these systems have attracted renewed interest due to technological advances in the trap anisotropy control, in-situ observation capabilities, and cooling and rotating complex atomic species such as dipolar gases. Understanding the vortex lattice formation and quantum melting is crucial for exploring quantum Hall physics in these systems. In this paper, we theoretically investigate the vortex lattices in anisotropic quantum gases. We formulate the rotating gas Hamiltonian in the Landau gauge, and consider the effects of additional perturbations such as the trap …

Supersymmetric Exploration Of External Field Effects On Spinning Cosmic Strings With Aharonov–Bohm Interaction, Bi̇lgehan Bariş Öner, Özlem Yeşi̇ltaş

Turkish Journal of Physics

We have conducted a supersymmetric analysis of the spacetime of a spinning cosmic string, focusing on the behavior of an electron in magnetic fields. Our study involves examining the Dirac system through the lens of exceptional orthogonal polynomials, specifically the exceptional orthogonal Laguerre $X_{m}$ polynomials. This analysis transforms the Dirac system into a relativistic system with a nonlinear isotonic oscillator. Additionally, we introduce new potential models that extend the radial oscillator by incorporating rational terms. Comprehensive analyses of the potential, energy levels, and probability density graphs are provided for various topological defects of cosmic strings and different parameters of the …

Preparation Of Nanoparticles And Study Of The Effect Of Some Of Their Physical Properties On Epoxy Polymer, Aya N. Abdullah, Niran F. Abeduljabbar

Al-Bahir

Nanoparticles were prepared by the laboratory thermal method from copper, magnesium, and zinc oxides. Different nanoparticles were added to epoxy at weight fractions of (0, 2, 4, 6, 8, 10) wt. %. The structural results from X-ray diffraction showed the appearance of epoxy in a random system, and when reinforced with nanopowders at higher addition ratios, we find the appearance of nanoparticles in a clear crystalline form, while the SEM results showed an increase in consistency and homogeneity with each increase in the proportions of nanoparticles, which appeared clearly during the EDX examination. The hardness of Shore type D was …

Utilizing Machine Learning To Predict The Charge Storage Capability Of Lithium-Ion Battery Materials, Manoj Chhetri, Karen S. Martirosyan

Physics & Astronomy Faculty Publications

With the increasing demand for high-performance batteries in applications such as electric vehicles and portable electronics, accurately predicting the charge storage capacity of battery materials is crucial for developing more efficient and reliable energy storage systems. Machine Learning (ML) and data-driven approaches, plays a vital role in enhancing our understanding of Li-ion battery performance, guiding materials design, optimizing system efficiency, and accelerating innovation in energy storage technologies. In this study, an ML-based approach was applied to a dataset of 2345 rechargeable Li-ion battery materials, obtained from the Materials Project online portal, to predict gravimetric charge storage capacity ─ a key …

32 - Nested Two Level Decomposition For Quantum Computing, Andrew Maciejunes, John Stenger, Dan Gunlycke, Nikos Chrisochoides

Undergraduate Research Symposium

Abstract—We present a two-level decomposition strategy for solving the Vehicle Routing Problem (VRP) using the Quantum Approximate Optimization Algorithm (QAOA). A Problem-Level Decomposition (PLD) partitions a 9-node (72-qubit) VRP into smaller Traveling Salesman Problem (TSP) instances. Each TSP is then further simplified via Circuit-Level Decomposition (CLD), enabling execution on near-term quantum devices. Our approach achieves up to 90% reductions in circuit depth and qubit count. These results demonstrate the feasibility of solving VRPs previously too complex for quantum simulators and provide early evidence of potential quantum utility.

Constructing And Confirming The Viability Of Nested Helmholtz Coils As An Education Model For Clinical Mri Systems, Yoel Kim

Honors Theses

Our goal was to construct a viable laboratory model utilizing oscillating compasses as a visual and manipulable analogue for magnetically resonant proton procession in a clinical magnetic resonance (MR) system for students without a strong background in nuclear physics. The constructed model -- which utilized concentric perpendicular helmholtz coils -- was tested for its ability to replicate the 3 central components in the clinical MR system: the main coils, the RF coils and the gradient coils. Experiments were conducted to demonstrate that each portion of the apparatus was successfully able to model its analogue in the clinical MR system, as …

A New Weighting Scheme To Optimize The Full Fisher Information In Multi-Tracer Surveys Of The Large-Scale Structure, Cole Rischbieter, Shun Saito

Miners Solving for Tomorrow Research Conference

No abstract provided.

Amorphous Metal Transparent Conducting Oxide P-Type Semiconductors, Joshua Santy

Miners Solving for Tomorrow Research Conference

No abstract provided.

Optimizing Fisher Information In Quantum Technology, Bran Purvis

LSU Doctoral Dissertations

Fisher information is a statistical metric whose inverse represents a lower bound on the variance of an unbiased estimator. Naturally, in order to make the best estimates of a given unknown parameter, one would desire to find ways to minimize the value of this lower bound. Thus, the Fisher information can also be used to compare the quality of different estimators for a given parameter: whichever estimator has a lower value for its Fisher information must also provide better estimates. The same holds true in the framework of quantum information theory, where an analog to the Fisher information, dubbed quantum …

Parameter Estimation Of Binary Black Hole Coalescence Using Lstm Neural Networks, Lane Scheel

Undergraduate Honors Papers

The Advanced Laser Interferometer Gravitational Wave Observatory (aLIGO) made its first detection of gravitational waves in 2015. Since then, the rate of event detection has only increased, with a detection being made every 2-3 days during the current observing run, O4. This rapid influx of data has the potential to create bottle-necks in data analysis efforts, and can delay the scientific progress which require those efforts. Traditional gravitational wave data analysis techniques, such as matched filtering, require extremely large template banks of synthetic gravitational waveforms and can often fail to provide meaningful limits on system parameters. Not only is this …

First Study Of Neutrino Angle Reconstruction Using Quasielastic-Like Interactions In Microboone, The Microboone Collaboration, Brandon Eberly

USM Physics Program

We investigate the expected precision of the reconstructed neutrino direction using a νμ-argon quasielastic-like event topology with one muon and one proton in the final state and the reconstruction capabilities of the MicroBooNE liquid argon time projection chamber. This direction is of importance in the context of DUNE sub-GeV atmospheric oscillation studies. MicroBooNE allows for a data-driven quantification of this resolution by investigating the deviation of the reconstructed muon-proton system orientation with respect to the well-known direction of neutrinos originating from the Booster Neutrino Beam with an exposure of 1.3 × 1021 protons on target. Using simulation studies, we derive …

Skyforge Core: A Triple Modular Redundant Computing Architecture For Small Satellites, Peter Staritz, Harrison Schmitt, Thomas Mcwatters, Ethan Hoyt, Josh Ellman, Sameer Sikander, Nate Westrum, Jordan Clark, Taebaeksanmaek Jung, Micah Williams, Lauren Myers, Kelden Wright, Matthew Homburg, Alex Roth, Jinran Zhang

Physics & Engineering Student Papers

As small satellite missions grow in complexity, there is increasing demand for greater onboard computational performance. Traditional radiation-hardened processors, while reliable, are expensive, slow, and suffer from long procurement timelines. In contrast, commercial off-the-shelf processors like the Raspberry Pi offer high performance at low cost but are vulnerable to radiation-induced faults such as single-event upsets. SkyForge Core is an experimental computing system that addresses this challenge by integrating three Raspberry Pi Zero W units into a triple modular redundant architecture. The system executes identical tasks on each Pi, compares outputs using majority voting, and identifies discrepancies. If a failure occurs, …