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Summed Series Involving 1F2 Hypergeometric Functions, Jack C. Straton

Physics Faculty Publications and Presentations

Summation of infinite series has played a significant role in a broad range of problems in the physical sciences and is of interest in a purely mathematical context. In a prior paper, we found that the Fourier–Legendre series of a Bessel function of the first kind J_N(kx) and modified Bessel functions of the first kind I_N(kx) lead to an infinite set of series involving ₁F₂ hypergeometric functions (extracted therefrom) that could be summed, having values that are inverse powers of the eight primes 1/ ( 2ⁱ 3^j 5^{k …}

Optimization Of The Starch Chitosan-Based Flocculant Crosslinked By Ethylene Glycol Dimethacrylate On Removing Dypro 19 Textile Dye From Wastewater, Asep Nurohmat Majalis, Putri Ramadhani, Hendris Hendarsyah Kurniawan, Axel Dimaz Sanusi Pasaribu, Hafiizh Prasetia, Fitri Yuliani, Andreas Andreas, Hartati Hartati

Karbala International Journal of Modern Science

Dyes used in industry, especially textile dyes, are one of the water pollutants that receive much attention because they are potentially toxic, carcinogenic, mutagenic, and generally challenging to decompose naturally. Textile dyes from wastewater can be removed through coagulation-flocculation. However, conventional coagulation-flocculation based on Fe and Al salts and synthetic polymers often leaves residual pollution. In this research, the performance of the new biopolymer-based flocculant, namely starch-ethylene glycol dimetacrylate-chitosan (SEC), which can act as coagulants and flocculants in solid-liquid separation of textile dyes, has been optimized using response surface methodology (RSM) approach. The influences of several independent variables, such …

Breast Cancer Area Identification In Mammograms Using Expectation Maximization Gaussian Mixture Model, Rizki Khoirun Nisa, Dian Kurniasari, Favorisen R. Lumbanraja, Warsono Warsono

Karbala International Journal of Modern Science

Breast cancer accounts for 25% of all cancer diagnoses and 16% of cancer-related deaths among women globally, with high mortality rates due to late diagnosis. Early detection relies on imaging techniques such as mammography, histopathology, and breast ultrasound, with mammography being the gold standard due to its proven to detect breast cancer, thus it is effective for breast cancer treatment. However, mammogram images often produce noise and artefacts, complicating early-stage cancer detection and emphasizing the need for advanced image processing. Clustering algorithms such as K-means and Expectation Maximization - Gaussian Mixture Model (EM-GMM) have shown potential in image segmentation. This …

Interactions Of The Sars-Cov-2 Viral Genome 3’-Untranslated Region With Viral And Host Rnas, Caleb Frye, Mihaela Rita Mihailescu

Electronic Theses and Dissertations

This dissertation focuses on the characterization of RNA-RNA interactions within the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) genome and with host microRNAs. As the causative agent of coronavirus disease 2019 (COVID-19), SARS-CoV-2 has evolved rapidly since its appearance. This has warranted prompt characterization of the virus particularly of its single stranded RNA (ssRNA) genome. By using a combination of bioinformatics, biophysics, and/or biological assays, we analyzed the SARS-CoV-2 viral genomic RNA and uncovered interactions of genomic RNA with host RNAs, highlighting an underutilized method of targeting RNA viruses. We showed here that the conserved elements in the viral genomic …

On Physical Processes That Work Like Learning Algorithms, Vidyesh Rao Anisetti

Dissertations - ALL

Adaptive behavior is a widespread phenomenon observed in both living and non-living systems, manifesting in diverse forms such as the directional growth of plants in response to sunlight and the directed aging of materials. Such diversity demands a physics-based approach. Thus, the emerging field of physical learning aims to explain these phenomena by drawing analogies between adaptive processes in nature and learning in neural networks, motivating the central question of this thesis: Can physical processes in nature function like learning algorithms? A typical learning algorithm involves two fundamental steps: signaling and weight up- dating. In the Part I of the …

Probing The Interactions Of Anticancer Drug Doxorubicin To Dna Using Optical Tweezers, Jason Martin

Honors Program Theses and Projects

Doxorubicin (Doxo) is a historically significant anti-cancer drug that has been used to treat multiple types of cancers for half a century. The drug targets DNA of cancer cells through a binding mode called intercalation, acting as roadblock during DNA replication to stop tumor formation. While Doxo has been extensively studied through traditional methods, only a handful of research has utilized single molecule methods, which can provide new insights at the molecular level. In this study, we used dual beam optical tweezers to isolate single DNA molecules and mechanically manipulate the DNA in the presence of Doxo. We conducted two …

A Topological Route To Engineering Robust And Bright Supersymmetric Laser Arrays, Soujanya Datta, Mohammad Alizadeh Fard, Ramy El-Ganainy, Krishanu Roychowdhury

Michigan Tech Publications

In recent years, several proposals that leverage principles from condensed matter and high-energy physics for engineering laser arrays have been put forward. The most important among these concepts are topology, which enables the construction of robust zero-mode laser devices, and supersymmetry (SUSY), which holds the potential for achieving phase locking in laser arrays. In this work, we show that the relation between supersymmetric coupled bosonic and fermionic oscillators on one side, and bipartite networks (and hence chiral symmetry) on another side can be exploited together with non-Hermitian engineering for building one- and two-dimensional laser arrays with in-phase synchronization. To demonstrate …

Sensitivity And Application Of Frequency Domain High-Density Diffuse Optical Tomography (Fd Hd-Dot), Weihao Fan

Arts & Sciences Graduate Student Theses and Dissertations

Functional near-infrared spectroscopy (fNIRS) is a non-invasive imaging technique that measures hemodynamic responses in the brain, similar to functional magnetic resonance imaging (fMRI) but with distinct advantages. By utilizing near-infrared light, fNIRS can penetrate biological tissues and detect changes in oxygenated and deoxygenated hemoglobin. Additionally, fNIRS is portable, noninvasive and inexpensive. Within the realm of fNIRS, several measurement techniques exist, including Continuous Wave (CW), Frequency Domain (FD), and Time Domain (TD) methods. In this dissertation, we focused on the effects, fundamental principles and applications of FD designs. We provided the introduction in Chapter 1, and discussed the background theory and …

A Search Using Geo600 For Gravitational Waves Coincident With Fast Radio Bursts From Sgr 1935+2154, A. G. Abac, R. Abbott, I. Abouelfettouh, Teviet Creighton, Mario C. Diaz, Francisco Llamas Villarreal, Soma Mukherjee, Volker Quetschke, Wenhui Wang

Physics & Astronomy Faculty Publications

The magnetar SGR 1935+2154 is the only known Galactic source of fast radio bursts (FRBs). FRBs from SGR 1935+2154 were first detected by the Canadian Hydrogen Intensity Mapping Experiment (CHIME)/FRB and the Survey for Transient Astronomical Radio Emission 2 in 2020 April, after the conclusion of the LIGO, Virgo, and KAGRA Collaborations' O3 observing run. Here, we analyze four periods of gravitational wave (GW) data from the GEO600 detector coincident with four periods of FRB activity detected by CHIME/FRB, as well as X-ray glitches and X-ray bursts detected by NICER and NuSTAR close to the time of one of the …

Understanding Gravitational Lensing Using General Relativity, Sophia Macqueen Pooler

Honors Program Theses and Projects

Gravitational lensing is typically modelled using thin-lens approximations which assume that the effect of the gravitational field of the intervening mass can be adequately described by the physics of an optical lens. In this project we derived equations to model how spacetime curvature alters geodesics available to light rays directly from the principles of general relativity and used these results to produce visualizations of these effects. We began with the Robertson-Walker metric to define a flat, unperturbed space time and determined a suitable mass density model for the galaxy cluster that will act as our gravitational lens. Employing this metric …

Compact Control System For Superconducting Qubits, Santiago Lopez

The Journal of Purdue Undergraduate Research

No abstract provided.

Vibrational And Electronic Spectroscopy Of 2-Cyanoindene Cations, Thomas E. Douglas-Walker, Eleanor K. Ashworth, Mark H. Stockett, Francis C. Daly, Isabelle Chambrier, Vincent J. Esposito, Marius Gerlach, Angel Zheng, Julianna Palotás, Andrew N. Cammidge, Ewen K. Campbell, Sandra BrüNken, James N. Bull

Biology, Chemistry, and Environmental Sciences Faculty Articles and Research

2-Cyanoindene is one of the few specific aromatic or polycyclic aromatic hydrocarbon (PAH) molecules positively identified in Taurus molecular cloud-1 (TMC-1), a cold, dense molecular cloud that is considered the nearest star-forming region to Earth. We report cryogenic mid-infrared (550–3200 cm^–1) and visible (16,500–20,000 cm^–1, over the D2 ← D0 electronic transition) spectra of 2-cyanoindene radical cations (2CNI⁺), measured using messenger tagging (He and Ne) photodissociation spectroscopy. The infrared spectra reveal the prominence of anharmonic couplings, particularly over the fingerprint region. There is a strong CN-stretching mode at 2177 ± 1 cm^–1 (4.593 …

An Energy Resource Management For Cluster Based Iohv Supported By Fog Computing, Ahmed Jawad Kadhim

Karbala International Journal of Modern Science

Internet of Hybrid Vehicle Networks (IoHV) is a network generated by merging the Internet with a Hybrid Vehicular Ad-Hoc Network (H-VANET). In IoHV, various types of electric and fuel vehicles create tasks. However, executing several tasks by electric vehicles affects their lifetime because they suffer from energy limitation issues which is one of the IoHV challenges. On the other hand, fuel vehicles and fog nodes have unlimited energy and can be used to execute most tasks of electric vehicles quickly. In this paper, we produce a new Energy Resource management Technique for IoHV called ERTH that aims to offload the …

Effect Of Temperature And Rhenium Content In Precipitates On Dispersion Hardening Of Tungsten, Yulia R. Sharapova, Arseny M. Kazakov, Elena A. Korznikova, Alexandr Zinovev, Dmitry Terentyev, Sergey V. Dmitriev

Karbala International Journal of Modern Science

Tungsten (W) is being developed as a plasma-facing material for fusion reactors, where it is subjected to MeV neutron irradiation, low-energy helium isotope particles, and high temperatures. These conditions lead to the formation of point defects, dislocation loops, voids, and transmutation into rhenium (Re) and osmium (Os), which form precipitates that significantly impact dislocation motion and increase hardness. This study uses molecular dynamics modeling to examine the interaction between an edge dislocation and Re-rich particles of various stoichiometries, specifically coherent bcc-phase particles and noncoherent σ-phase precipitates. Results show that shear stress increases by approximately 20-40% with larger particle size (3-5 …

Gauss-Lobatto Method For Nuclear Reactivity Calculation, Daniel Suescún-Díaz, Luis E. Cardoso-Páez, Diego Peña-Lara

Karbala International Journal of Modern Science

In this paper, we introduce a novel approach to numerical solving for nuclear reactivity using the inverse equation of point kinetics as a model. Our method leverages the Gauss-Lobatto quadrature, incorporating multiple time steps and nodes derived from Legendre polynomials of varying orders. To enhance the accuracy of the differential component of the inverse equation, we employed a differential scheme based on the Gauss-Lobatto quadrature nodes. To address fluctuations in neutron population density, we implemented a second-order low-pass Butterworth filter with a minimal window length of M = 3 samples. Through extensive numerical simulations, we assessed the precision of our …

Electrocatalytic Performance Of S-Doped Fen4@Mwcnts Nanocomposites, Ronit Lavjibhai Chaudhari

Electronic Theses & Dissertations

The thesis titled “Electrocatalytic Performance of S-Doped FeN₄@MWCNTs Nanocomposites” explores the development of sulfur-doped iron-nitrogen-carbon nanotube (S-dopedFeN₄@MWCNTs) nanocomposites as high-performance an electrocatalyst for the oxygen reduction reaction (ORR), oxygen evolution reaction (OER), and hydrogen evolution reaction (HER). These reactions are crucial for technologies like fuel cells, metal-air batteries, and water-splitting systems, which are vital for renewable energy and hydrogen production.

The research demonstrates that S-doped FeN₄@MWCNTs show significantly enhanced catalytic activity compared to traditional platinum-based catalysts and undoped FeN₄@MWCNTs. Sulfur doping results in a lower overpotential for both OER and HER. For …

Exploring Single Particles Through Optical Trapping And Advanced Laser Spectroscopy Techniques, Haifa Hassan Alali

Theses and Dissertations

This dissertation explores the innovative integration of optical trapping (OT) with advanced laser spectroscopy techniques to investigate the physicochemical properties of single particles from a variety of atmospheric aerosols, such as bioaerosols, terrestrial dust, and extraterrestrial dust. Each technique offers unique insights, significantly enhancing our understanding of these critical atmospheric components. The first work focuses on employing OT in conjunction with cavity ringdown spectroscopy (OT-CRDS) to measure the single-particle extinction of interplanetary dust particles at ultraviolet wavelengths (~308 nm). This method allows for the stable trapping of individual dust particles in air, facilitating precise characterization with minimal external interference. Our …

Ge/Sige Quantum Wells: Material For The Post-Moore Era, Troy Alexander Hutchins-Delgado

Optical Science and Engineering ETDs

This dissertation demonstrates high-quality germanium quantum wells on a 200 mm silicon wafer platform, enabling novel device possibilities. Partnering with a commercial silicon-germanium epitaxy supplier, we obtained shallow, undoped germanium quantum wells with high-crystalline quality, confirmed through x-ray diffraction, secondary ion mass spectroscopy, high-resolution scanning transmission electron microscopy, and energy dispersive x-ray spectroscopy. Hall bar devices fabricated on single quantum wells revealed that surface preparation can tune transport properties while maintaining peak mobilities around 10⁵ cm²V⁻¹s⁻¹. Manganese-germanide spintronic contacts were integrated via solid-state reaction, with contact quality assessed through Schottky diodes, transfer length …

Exploring The Accuracy Of Interferometric Quantum Measurements Under Conservation Laws, Nicolò Piccione, Maria Maffei, Andrew N. Jordan, Kater W. Murch, Alexia Auffèves

Mathematics, Physics, and Computer Science Faculty Articles and Research

A (target) quantum system is often measured through observations performed on a second (meter) system to which the target is coupled. In the presence of global conservation laws holding on the joint meter-target system, the Wigner-Araki-Yanase theorem and its generalizations predict a lower bound on the measurement’s error (Ozawa’s bound). While practically negligible for macroscopic meters, it becomes relevant for microscopic ones. Here, we propose a simple interferometric setup, arguably within reach of present technology, in which a flying particle (a microscopic quantum meter) is used to measure a qubit by interacting with it in one arm of the interferometer. …

Exfoliated Hydrotalcite-Transition Metal Complex Composite For Eco-Friendly And Efficient Catalytic Degradation Of 4-Nitrophenol, Sidra Khan, Najma Memon, Saima Q. Memon, Yilmaz Yurekli

Karbala International Journal of Modern Science

Nitrophenols are notorious aquatic organic contaminants found as degradation products of various parent compounds, including pesticides and industrial chemicals that persist in the environment and must be removed. Catalytic degradation is one of the feasible routes to clean the contaminated water systems, however, environmental contamination with catalysts is also widespread. Herein, we report an environmentally friendly catalyst based on composited Fe-Schiff’s base with exfoliated layered double hydroxides (LDH) of aluminum and nickel (hydrotalcite). The composite showed agglomerated pleated LDH structures sheathed with Fe(III)SB. Nitrogen adsorption isotherm data exhibited improved surface area and narrow pores patterns for composite as compared to …

Constructing And Testing Of Photomultiplier Tubes For Coincidence Experiments, Christepher Zamora

Physics Capstone Projects

Muons are particles that can be created by the collision and decay of cosmic rays with the upper atmosphere. Many detectors have been manufactured to detect these particles. This paper describes how muons can be detected. It details the process of constructing and testing of scintillation photomultiplier tubes. This paper also details what was observed during the construction and what was done by the experimenter to correct perceived issues.

Moderate Physical Perspectivalism, Emily Adlam

Philosophy Faculty Articles and Research

Recent developments in the foundations of physics have given rise to a class of views suggesting that physically meaningful descriptions must always be relativized to a physical perspective. In this article, I distinguish between strong physical perspectivalism, which maintains that all facts must be relativized to a perspective, and moderate physical perspectivalism, which maintains that all empirically meaningful descriptions must be relativized to a perspective. I argue that scientific evidence and philosophical considerations support moderate physical perspectivalism over strong physical perspectivalism. In particular, motivations connected to epistemic humility and the social nature of science are more compatible with the moderate …

Predicting Chaotic Systems With Quantum Echo-State Networks, Erik Connerty, Ethan N. Evans, Gerasimos Angelatos, Vignesh Narayanan

Publications

Recent advancements in artificial neural networks have enabled impressive tasks on classical computers, but they demand significant computational resources. While quantum computing offers potential beyond classical systems, the advantages of quantum neural networks (QNNs) remain largely unexplored. In this work, we present and examine a quantum circuit (QC) that implements and aims to improve upon the classical echo-state network (ESN), a type of reservoir-based recurrent neural networks (RNNs), using quantum computers. Typically, ESNs consist of an extremely large reservoir that learns high-dimensional embeddings, enabling prediction of complex system trajectories. Quantum echo-state networks (QESNs) aim to reduce this need for prohibitively …

Ultraviolet And Blue Stimulated Emission From Cs Alkali Vapor Pumped Using Two-Photon Absorption And Four-Wave Mixing, Ricardo C. Davila, Christopher A. Rice, Nathan B. Terry, Glen P. Perram

Faculty Publications

Stimulated emission on the ultraviolet and blue transitions in Cs has been achieved by pumping via two-photon absorption and four-wave mixing for the pump transition 6²S½ → 8²D_3/2,5/2. The emission performance of the optically pumped cesium vapor laser operating in ultraviolet and blue has been extended to 650 nJ/pulse for 387 nm, 1 to 3 μ J / pulse for 388 nm, 200 nJ/pulse for 455 nm, and 500 nJ/pulse for 459 nm. Emission performance improves dramatically as the cesium vapor density is increased, and no scaling limitations associated with energy pooling or …

Rapid Characterization Of Exoplanet Atmospheres With The Exoplanet Transmission Spectroscopy Imager, Luke M. Schmidt, Ryan J. Oelkers, Erika Cook, Mary Anne Limbach, Darren L. Depoy, Jennifer L. Marshall, Landon Holcomb, Willians Pena, Jacob Purcell, Enrique Gonzalez Vega

Physics & Astronomy Faculty Publications

The Exoplanet Transmission Spectroscopy Imager (ETSI) amalgamates a low-resolution slitless prism spectrometer with custom multi-band filters to simultaneously image 15 spectral bandpasses between 430 and 975 nm with an average spectral resolution of R = λ / δ λ ∼ 20 . ETSI requires only moderate telescope apertures ( ∼ 2 m ), is capable of characterizing an exoplanet atmosphere in as little as a single transit, enabling the selection of the most interesting targets for further characterization with other ground and space-based observatories, and is also well suited to multi-band observations of other variable and transient objects. This enables …

Search For Dyson Rings Around Pulsars: Unexpected Light Curves, Ogetay Kayali, Emir Haliki, Kubra Bas, Robert J. Nemiroff

Michigan Tech Publications

Finding Dyson rings around distant pulsars may involve identifying light-curve features that have not been previously identified. Previous studies covered the detection of a ring structure uniformly brightened by the central pulsar, mostly in infrared light. Here, more complex light curves are explored, which arise inherently from the pulsar beam spot’s commonly predicted superluminal speed. These speeds may cause multiple images of the pulsar’s spot on the Dyson ring to appear simultaneously to a distant observer, and so feature bright creation and annihilation events. Therefore, it is possible that even if Dyson ring structures had been observed previously, they might …

Quantum Singular Oscillator With Potential Controlled By Position-Dependent Mass, Elchin Jafarov, Shakir Nagiyev

Turkish Journal of Physics

An exactly solvable model of a nonrelativistic quantum singular oscillator with a controlled potential is constructed. A position-dependent mass is introduced instead of a constant mass of the quantum system under consideration in such a way that it is possible to purposefully control the shape of the potential, turning it into a quantum well with different depths. It is shown that analytical expressions of the wave functions of such a quantum system are described through 2F1 type hypergeometric functions and Jacobi polynomials, whereas, the discrete energy spectrum corresponding to these analytic solutions is non-equidistant. In a specific limit, when the …

Beamed: A Bench For Automated Measurements Of Electrical Discharges - A New Standard For Paschen Curves, Jared Nelson

Doctoral Dissertations and Master's Theses

The initiation of electrical discharges, particularly glow discharges, plays a significant role in industry and environmental science, affecting systems such as electronics, power grids, and atmospheric phenomena. Despite extensive studies and applications of Paschen's law, current methodologies for experimental Paschen tests in direct current (DC) conditions lack standardized practices. This thesis presents the development and validation of a DC-based standard for electrical discharge initiation, using the BEnch for Automated Measurements of Electrical Discharges (BeAMED). BeAMED is designed to standardize the experimental process by automating electrical discharges' initiation and data acquisition. The autonomous nature of the system provides insights into the …

Effect Of Polyacrylamide Gel Elasticity On Collagen Type Ii Fibril Assembly, Kathryn G. Wilcox, Stephanie Kramer, Surajit Chatterjee, Adam Linscott, Sneha Suresh, Lydia Kisley, Svetlana Morozova

Faculty Scholarship

Collagen type II fibrils provide structural integrity to the articular cartilage extracellular matrix. However, the conditions that control the fibril radial size scale, distribution, and formation inside of dense networks are not well understood. We have investigated how surrounding elastic networks affect fibril formation by observing the structure and dynamics of collagen type II in model polyacrylamide gels of varying moduli. Cryogenic transmission electron microscopy (cryo-TEM) is used to image the fibril structure and is verified qualitatively with optical microscopy of fluorescently-tagged collagen within the gels. Using fluorescence correlation spectroscopy super-resolution optical fluctuation imaging (fcsSOFI), the diffusion dynamics of the …

Electricity Generation From Air Movements For Microelectronics Applications, Rahul Nair, Kezang Choden

Australia-Bhutan Research Conference

This paper is about generating limited amount of electricity from natural air movements and air movements in a controlled environment . This is specifically applicable and useful in microelectronics application and as a pre charging . Air is composed of 71% Nitrogen and 21 % oxygen and rest of the gases comprising 8%. We understand that air also takes up from free radicals in the atmosphere due to various chemical reactions. The free radicals and ions have a random motion and movement in the air column. The controlled movement of air with charged particles which is essentially the free radicals …