Physical Sciences and Mathematics Commons^™

Populating The Brown Dwarf And Stellar Boundary: Five Stars With Transiting Companions Near The Hydrogen-Burning Mass Limit, N. Grieves, F. Bouchy, M. Lendl, T. Carmichael, I. Mireles, A. Shporer, K. K. Mcleod, K. A. Collins, R. Brahm, K. G. Stassun, S. Gill, L. G. Bouma, T. Guillot, M. Cointepas, L. A. Dos Santos, S. L. Casewell, J. M. Jenkins, T. Henning, L. D. Nielsen, A. Psaridi, S. Udry, D. Ségransan, J. D. Eastman, G. Zhou, L. Abe, A. Agabi, G. Bakos, D. Charbonneau, K. I. Collins, K. D. Colon, N. Crouzet, G. Dransfield, P. Evans, R. F. Goeke, R. Hart, J. M. Irwin, Eric L.N. Jensen, A. Jordán, J. F. Kielkopf, D. W. Latham, W. Marie-Sainte, D. Mékarnia, P. Nelson, S. N. Quinn, D. J. Radford, D. R. Rodriguez, P. Rowden, F.–X. Schmider, R. P. Schwarz, J. C. Smith, C. Stockdale, O. Suarez, T.-G. Tan, A. H. M. J. Triaud, W. Waalkes, G. Wingham

Physics & Astronomy Faculty Works

We report the discovery of five transiting companions near the hydrogen-burning mass limit in close orbits around main sequence stars originally identified by the Transiting Exoplanet Survey Satellite (TESS) as TESS objects of interest (TOIs): TOI-148, TOI-587, TOI-681, TOI-746, and TOI-1213. Using TESS and ground-based photometry as well as radial velocities from the CORALIE, CHIRON, TRES, and FEROS spectrographs, we found the companions have orbital periods between 4.8 and 27.2 days, masses between 77 and 98 M_Jup, and radii between 0.81 and 1.66 R_Jup. These targets have masses near the uncertain lower limit of hydrogen core …

Tic 454140642: A Compact, Coplanar, Quadruple-Lined Quadruple Star System Consisting Of Two Eclipsing Binaries, V. B. Kostov, B. P. Powell, G. Torres, T. Borkovits, S. A. Rappaport, A. Tokovinin, P. Zasche, D. Anderson, T. Barclay, P. Berlind, P. Brown, M. L. Calkins, K. A. Collins, K. I. Collins, D. M. Conti, G. A. Esquerdo, C. Hellier, Eric L.N. Jensen, J. Kamler, E. Kruse, D. W. Latham, M. Mašek, F. Murgas, G. Olmschenk, J. A. Orosz, A. Pál, E. Palle, R. P. Schwarz, C. Stockdale, D. Tamayo, R. Uhlař, W. F. Welsh, R. West

Physics & Astronomy Faculty Works

We report the discovery of a compact, coplanar, quadruple-lined, eclipsing quadruple star system from Transiting Exoplanet Survey Satellite data, TIC 454140642, also known as TYC 0074-01254-1. The target was first detected in Sector 5 with a 30-minute cadence in full-frame images and then observed in Sector 32 with a 2-minute cadence. The light curve exhibits two sets of primary and secondary eclipses with periods of P_A = 13.624 days (binary A) and P_B = 10.393 days (binary B). Analysis of archival and follow-up data shows clear eclipse-timing variations and divergent radial velocities, indicating dynamical interactions between the two …

Toi-1634 B: An Ultra-Short-Period Keystone Planet Sitting Inside The M-Dwarf Radius Valley, R. Cloutier, D. Charbonneau, K. G. Stassun, F. Murgas, A. Mortier, R. Massey, J. J. Lissauer, D. W. Latham, J. Irwin, R. D. Haywood, P. Guerra, E. Girardin, S. A. Giacalone, P. Bosch-Cabot, A. Bieryla, J. Winn, C. A. Watson, R. Vanderspek, S. Udry, M. Tamura, A. Sozzetti, A. Shporer, D. Ségransan, S. Seager, A. B. Savel, D. Sasselov, M. Rose, G. Ricker, K. Rice, E. V. Quintana, S. N. Quinn, G. Piotto, D. Phillips, F. Pepe, M. Pedani, H. Parviainen, E. Palle, N. Narita, E. Molinari, G. Micela, S. Mcdermott, M. Mayor, R. A. Matson, A. F. Martinez Fiorenzano, C. Lovis, M. López-Morales, N. Kusakabe, Eric L.N. Jensen, J. M. Jenkins, C. X. Huang, S. B. Howell, A. Harutyunyan, G. Fűrész, A. Fukui, G. A. Esquerdo, E. Esparza-Borges, X. Dumusque, C. D. Dressing, L. Di Fabrizio, K. A. Collins, A. Collier Cameron, J. L. Christiansen, M. Cecconi, L. A. Buchhave, W. Boschin, G. Andreuzzi

Physics & Astronomy Faculty Works

Studies of close-in planets orbiting M dwarfs have suggested that the M-dwarf radius valley may be well explained by distinct formation timescales between enveloped terrestrials and rocky planets that form at late times in a gas-depleted environment. This scenario is at odds with the picture that close-in rocky planets form with a primordial gaseous envelope that is subsequently stripped away by some thermally driven mass-loss process. These two physical scenarios make unique predictions of the rocky/enveloped transition's dependence on orbital separation such that studying the compositions of planets within the M-dwarf radius valley may be able to establish the dominant …

Nb-Iot: Iot Përmes Sistemeve Celulare Brez-Ngushta, Besart Haziri

Theses and Dissertations

Me rritjen e numrit të pajisjeve IoT në ditët e sotme, kërkesa për t’i mbështetur ato vetëm sa rritet, me rreth 7.6 miliardë pajisje IoT aktive në fund të vitit 2019, si dhe me një pritshmëri të rritjes deri në 24.1 miliardë pajisje IoT në vitin 2030. Me numër kaq të madh të pajisjeve që do të lidhen në Internet atëherë na duhet siguri dhe rrjet i besueshëm që i mbështet të gjitha këto pajisje. Mundësia më e mirë për këtë çështje është NB-IoT (Narrowband–Internet of Things).

NB-IoT mundëson konektimin e qindra-mijëra pajisjeve të vogla (sensorëve) në Internet përmes sistemeve …

Structural, Vibrational And Transport Properties Of Novel Complex Systems., Bhupendra Man Shing Karki

Electronic Theses and Dissertations

Electron correlation effects in quantum materials are very strong. It is critical to investigate the structure of quantum materials to better understand and manipulate their physical properties. Quantum effects are prominent at the atomic microscopic length scale, which can not be examined by average long range structural measurements using traditional diffraction methods. Instead, pair distribution function (PDF) analysis, a local structure probe, can effectively unveil the mystery of local structure, which is more sensitive to local behavior than bulk average features. The first section of my dissertation will concentrate on the local structural study of the Iron oxy-chalcogenides, {\cSSe}, which …

Electrochemical Characterization Of Surface-Immobilized Metal Nanostructures: Stability, Atomic Level Doping, Catalysis, And Sensing Applications., Badri Prasad Mainali

Electronic Theses and Dissertations

This dissertation has two main themes. The first theme involves voltammetric analysis of the stability of Au nanoparticles (NPs) under electrochemical and thermal treatment as a function of size, ligand stabilizer, and atomic composition. The second theme involves the use of Au NPs, electrophoretic deposition (EPD), and anodic stripping voltammetry (ASV) for electrochemical detection of analytes. The electrochemical size stability of 4.1, 15.1, and 50.3 nm average diameter Au NPs upon treatment with multiple electrochemical oxidation-reduction cycling in acidic electrolyte is monitored by observing changes in the peak oxidation potential (E_p) in ASV and the electrochemically measured surface …

Dynamics Of Plane Waves In The Fractional Nonlinear Schrödinger Equation With Long-Range Dispersion, Siwei Duo, Taras I. Lakoba, Yanzhi Zhang

Mathematics and Statistics Faculty Research & Creative Works

We analytically and numerically investigate the stability and dynamics of the plane wave solutions of the fractional nonlinear Schrödinger (NLS) equation, where the long-range dispersion is described by the fractional Laplacian (−∆)α/2 . The linear stability analysis shows that plane wave solutions in the defocusing NLS are always stable if the power α ∈ [1, 2] but unstable for α ∈ (0, 1). In the focusing case, they can be linearly unstable for any α ∈ (0, 2]. We then apply the split-step Fourier spectral (SSFS) method to simulate the nonlinear stage of the plane waves dynamics. In agreement with …

Using Unmanned Aerial Vehicles To Quantify Erosion Control Measures On A Reclaimed Central Utah Coal Mine, Christopher R. Brown

All Graduate Theses and Dissertations, Spring 1920 to Summer 2023

For certain landscape reclamation efforts surrounding, the Utah Division of Oil Gas and Mining (UDOGM) utilizes a surface roughing technique called “pocking”. The process of pocking establishes closely spaced gouges approximately 1.2 meters in diameter and 0.5 meters deep across a reclaimed landscape in order to reduce surface erosion and promote plant growth on steep terrain in arid regions. Pocks are designed as a series of micro watersheds that trap water to aid in plant establishment and reduces overland flow of water. Over time vegetation grows within the pocks as they infill with sediment. While this method is considered an …

The Effects Of Prescribed Burning On Soil Water Infiltration Rates And Other Select Soil Physical And Chemical Properties In East Texas, Cassady Pennington Dunson, Brian P. Oswald, Kenneth Farrish, Tyson Hart

Electronic Theses and Dissertations

This study focused on whether prescribed burning affects soil physical and chemical properties, especially water infiltration, in Western Gulf Coast forests. Soil water infiltration rates were measured 1) pre-burn (before the fire), 2) post-burn (one month after the fire), and 3) at vegetation green-up (three months after the fire). Soil samples were also collected to determine the effects of prescribed burning on soil pH, bulk density, particle density, pore space, soil strength, O-horizon weight and depth (organic matter), water stable aggregates, and soil fertility. This project was conducted on two different burn intervals. The National Forests and Grasslands of Texas …

Polycyclic Aromatic Hydrocarbons And The Microbiomes Of Two Benthic Species, Samantha Ells

Master's Theses

The presence of oil has been shown to affect the microbiomes of the water column, sediments, and organisms, both by altering the diversity and the composition of those microbial communities. If the microbiome is altered it may no longer provide benefits to its host organism, impacting its ability to survive. Thus, it is important to understand the effects of large-scale contamination events including the Deepwater Horizon oil spill. This study set out to examine the effects of oil exposure on the microbiome of two benthic species, southern flounder (Paralichthys lethostigma) and eastern oysters (Crassostrea virginica) to further understand the effects …

Latest Climate Change Report Is The Most Important By Far, Winston T. L. Chow

Research Collection School of Social Sciences

Dr Winston Chow was involved in the recently released IPCC climate science report. He explains why this report communicates the consequences of climate inaction better than previous ones.

Inter-Retailer Channel Competition: Empirical Analyses Of Store Entry Effects On Online Purchases, Qian Tang, Mei Lin, Youngsoo Kim

Research Collection School Of Computing and Information Systems

This study empirically examines the effect of offline store entry on a competing online retailer in the footwear industry and investigates how this effect depends on the relative product assortment and price between the offline store and the online retailer. Using transaction data from a large online footwear retailer and offline store entry data from 19 major shoe retail chains and 3 department store chains, we quantify the entry effect of offline stores. Categorizing offline stores by assortment and price, we find that the entry of regular-price narrow-assortment stores generates a complementary effect that increases online purchases, while the entry …

An Agenda For Research And Action Toward Diverse And Just Futures For Life On Earth, Carina Wyborn, J. Montana, N. Kalas, S. Clement, F. Davila, N. Knowles, E. Louder, M. Balan, J. Chambers, L. Christel, T. Forsyth, G. Henderson, S. Izquierdo Tort, Michelle Mei Ling Lim, Et Al

Research Collection Yong Pung How School Of Law

Decades of research and policy interventions on biodiversity have insufficiently addressed the dual issues of biodiversity degradation and social justice. New approaches are therefore needed. We devised a research and action agenda that calls for a collective task of revisiting biodiversity toward the goal of sustaining diverse and just futures for life on Earth. Revisiting biodiversity involves critically reflecting on past and present research, policy, and practice concerning biodiversity to inspire creative thinking about the future. The agenda was developed through a 2-year dialogue process that involved close to 300 experts from diverse disciplines and locations. This process was informed …

Integrating Empirical Analysis Into Analytical Framework: An Integrated Model Structure For On-Demand Transportation, Yuliu Su, Ying Xu, Costas Courcoubetis, Shih-Fen Cheng

Research Collection School Of Computing and Information Systems

On-demand transportation services have been developing in an irresistible trend since their first launch in public. These services not only transform the urban mobility landscape, but also profoundly change individuals’ travel behavior. In this paper, we propose an integrated model structure which integrates empirical analysis into a discrete choice based analytical framework to investigate a heterogeneous population’s choices on ownership, usage and transportation mode with the presence of ride-hailing. Distinguished from traditional discrete choice models where individuals’ choices are only affected by exogenous variables and are independent of other individuals’ choices, our model extends to capture the endogeneity of supply …

Automated Taxi Queue Management At High-Demand Venues, Mengyu Ji, Shih-Fen Cheng

Research Collection School Of Computing and Information Systems

In this paper, we seek to identify an effective management policy that could reduce supply-demand gaps at taxi queues serving high-density locations where demand surges frequently happen. Unlike current industry practice, which relies on broadcasting to attract taxis to come and serve the queue, we propose more proactive and adaptive approaches to handle demand surges. Our design objective is to reduce the cumulative supply-demand gaps as much as we could by sending notifications to individual taxis. To address this problem, we first propose a highly effective passenger demand prediction system that is based on the real-time flight arrival information. By …

Maintenance-Related Concerns For Post-Deployed Ethereum Smart Contract Development: Issues, Techniques, And Future Challenges, Jiachi Chen, Xin Xia, David Lo, John Grundy, Xiaohu Yang

Research Collection School Of Computing and Information Systems

Software development is a very broad activity that captures the entire life cycle of a software, which includes designing, programming, maintenance and so on. In this study, we focus on the maintenance-related concerns of the post-deployment of smart contracts. Smart contracts are self-executed programs that run on a blockchain. They cannot be modified once deployed and hence they bring unique maintenance challenges compared to conventional software. According to the definition of ISO/IEC 14764, there are four kinds of software maintenance, i.e., corrective, adaptive, perfective, and preventive maintenance. This study aims to answer (i) What kinds of issues will smart contract …

W8-Scope: Fine-Grained, Practical Monitoring Of Weight Stack-Based Exercises, Meera Radhakrishnan, Archan Misra, Rajesh K. Balan

Research Collection School Of Computing and Information Systems

Fine-grained, unobtrusive monitoring of gym exercises can help users track their own exercise routines and also provide corrective feedback. We propose W8-Scope, a system that uses a simple magnetic-cum-accelerometer sensor, mounted on the weight stack of gym exercise machines, to infer various attributes of gym exercise behavior. More specifically, using multiple machine learning models, W8-Scope helps identify who is exercising, what exercise she is doing, how much weight she is lifting, and whether she is committing any common mistakes. Real world studies, conducted with 50 subjects performing 14 different exercises over 103 distinct sessions in two gyms, show that W8-Scope …

Pre-Training On Large-Scale Heterogeneous Graph, Xunqiang Jiang, Tianrui Jia, Yuan Fang, Chuan Shi, Zhe Lin, Hui Wang

Research Collection School Of Computing and Information Systems

Graph neural networks (GNNs) emerge as the state-of-the-art representation learning methods on graphs and often rely on a large amount of labeled data to achieve satisfactory performance. Recently, in order to relieve the label scarcity issues, some works propose to pre-train GNNs in a self-supervised manner by distilling transferable knowledge from the unlabeled graph structures. Unfortunately, these pre-training frameworks mainly target at homogeneous graphs, while real interaction systems usually constitute large-scale heterogeneous graphs, containing different types of nodes and edges, which leads to new challenges on structure heterogeneity and scalability for graph pre-training. In this paper, we first study the …

Integrating Knowledge Compilation With Reinforcement Learning For Routes, Jiajing Ling, Kushagra Chandak, Akshat Kumar

Research Collection School Of Computing and Information Systems

Sequential multiagent decision-making under partial observability and uncertainty poses several challenges. Although multiagent reinforcement learning (MARL) approaches have increased the scalability, addressing combinatorial domains is still challenging as random exploration by agents is unlikely to generate useful reward signals. We address cooperative multiagent pathfinding under uncertainty and partial observability where agents move from their respective sources to destinations while also satisfying constraints (e.g., visiting landmarks). Our main contributions include: (1) compiling domain knowledge such as underlying graph connectivity and domain constraints into propositional logic based decision diagrams, (2) developing modular techniques to integrate such knowledge with deep MARL algorithms, and …

Toward Deep Supervised Anomaly Detection: Reinforcement Learning From Partially Labeled Anomaly Data, Guansong Pang, Anton Van Den Hengel, Chunhua Shen, Longbing Cao

Research Collection School Of Computing and Information Systems

We consider the problem of anomaly detection with a small set of partially labeled anomaly examples and a large-scale unlabeled dataset. This is a common scenario in many important applications. Existing related methods either exclusively fit the limited anomaly examples that typically do not span the entire set of anomalies, or proceed with unsupervised learning from the unlabeled data. We propose here instead a deep reinforcement learning-based approach that enables an end-to-end optimization of the detection of both labeled and unlabeled anomalies. This approach learns the known abnormality by automatically interacting with an anomalybiased simulation environment, while continuously extending the …

Deeprepair: Style-Guided Repairing For Deep Neural Networks In The Real-World Operational Environment, Bing Yu, Hua Qi, Guo Qing, Felix Juefei-Xu, Xiaofei Xie, Lei Ma, Jianjun Zhao

Research Collection School Of Computing and Information Systems

Deep neural networks (DNNs) are continuously expanding their application to various domains due to their high performance. Nevertheless, a well-trained DNN after deployment could oftentimes raise errors during practical use in the operational environment due to the mismatching between distributions of the training dataset and the potential unknown noise factors in the operational environment, e.g., weather, blur, noise, etc. Hence, it poses a rather important problem for the DNNs' real-world applications: how to repair the deployed DNNs for correcting the failure samples under the deployed operational environment while not harming their capability of handling normal or clean data with limited …

An Empirical Study Of The Discreteness Prior In Low-Rank Matrix Completion, Rodrigo Alves, Antoine Ledent, Renato Assunção, Marius And Kloft

Research Collection School Of Computing and Information Systems

A reasonable assumption in recommender systems is that the rows (users) and columns (items) of the rating matrix can be split into groups (communities) with the following property: each entry of the matrix is the sum of components corresponding to community behavior and a purely low-rank component corresponding to individual behavior. We investigate (1) whether such a structure is present in real-world datasets, (2) whether the knowledge of the existence of such structure alone can improve performance, without explicit information about the community memberships. To these ends, we formulate a joint optimization problem over all (completed matrix, set of communities) …

The 4th Workshop On Heterogeneous Information Network Analysis And Applications (Hena 2021), Chuan Shi, Yuan Fang, Yanfang Ye, Jiawei Zhang

Research Collection School Of Computing and Information Systems

The 4th Workshop on Heterogeneous Information Network Analysis and Applications (HENA 2021) is co-located with the 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. The goal of this workshop is to bring together researchers and practitioners in the field and provide a forum for sharing new techniques and applications in heterogeneous information network analysis. This workshop has an exciting program that spans a number of subtopics, such as heterogeneous network embedding and graph neural networks, data mining techniques on heterogeneous information networks, and applications of heterogeneous information network analysis. The workshop program includes several invited speakers, lively discussion …

Hyperpolarizability Dispersion Measured For Carbon Disulfide Vapor, Rodrigo N. Fernandez

UNLV Theses, Dissertations, Professional Papers, and Capstones

The second hyperpolarizability (γ) of carbon disulfide (CS2) was measured by gas phase electric-field-induced second harmonic generation (ESHG), for laser wavelengths in the range of 765-1064 nm. The observed hyperpolarizability is decomposed into electronic (γ^e) and vibrational (γ^v) contributions, and the dispersion curve for γ^eis extrapolated to the static limit, with the result γ^e_0 = 12558 ± 93 atomic units. The results of this experiment agree with other recent nonlinear optical measurements and theoretical calculations.

A 155-Year Tree-Ring Based Record Of Warm And Dry Snow Droughts For The Cascade Range, Usa, Laura A. Dye

UNLV Theses, Dissertations, Professional Papers, and Capstones

Contributing 50-80% to the surface water for the region, mountain snowpack is a pillar of the hydrologic cycle in the western US, and is projected to decrease to 44% by 2100 in the Cascade Mountains alone. The western US has recently been identified as a global snow drought hot spot, exhibiting more frequent, intensified, and lengthened snow drought events in recent decades. Only recently has the need to understand the types of snow droughts and their driving mechanisms become critical to understand and quantify. Recent research suggests ‘warm’ snow droughts caused by winter precipitation falling as rain rather than snow …

Rotten With Prediction, Serena Raquel Hicks

UNLV Theses, Dissertations, Professional Papers, and Capstones

This project focuses on the relationship between religion and technology as it is portrayed in Science Fiction (SF). This thesis explores the SF genre rhetorically by examining the 2002 movie Minority Report (MR), which signaled the importance of surveillance and the need to predict future crimes following 9/11. The events of 9/11 played a significant role in post 9/11 SF films, which reflect and critique our communal and cultural values. 9/11 created a new relationship between the U.S justice system, predictive technologies (PTs), and data gathering. Through the Bush Doctrine of “preemptive action,” the U.S government attempted to use Dataism, …

Environmental Rhetoric And An Ecology Of Transcendence: A Rhetorical Criticism Of Awake, A Dream From Standing Rock, Alyssa Kahn

UNLV Theses, Dissertations, Professional Papers, and Capstones

My project blends Burkean theory with Indigenous rhetoric to argue that the counter- story of Awake proposes an ecology of transcendence to make sense of human-nature relationships. I wanted to analyze Awake A Dream From Standing Rock. The documentary is explicitly about Indigenous peoples. This documentary tells the story of the peaceful protests and resistance led by Native people at the Standing Rock Sioux Reservation or Lakota Tribe in North Dakota. The activists were protecting the water otherwise known as water protectors/warriors from the construction of the Dakota Access Pipeline (DAPL). The assembly of DAPL is intended to carry perforated …

Tail-Measurable Functions And Their Corresponding Induced Classes, And Some Determinacy Conditions Involving 3-Player Games, Joshua K. Reagan

UNLV Theses, Dissertations, Professional Papers, and Capstones

In this dissertation, we have two main categories of results. The first is regarding certain point-classes, and the second is regarding 3-player games.

The point-classes of Baire Space, \mathcal{N}, in the Borel and Projective Hierarchies, as well as Hausdorff's Difference Hierarchy have been well studied, and there has been much research into further stratifying these hierarchies. One area of particular interest falls in between the point-classes \mathbf{\Pi}_\mathbf{1}^\mathbf{1} and \Delta\left(\omega^2-\mathbf{\Pi}_\mathbf{1}^\mathbf{1}\right). It is well known that the point-classes \beta-\mathbf{\Pi}_\mathbf{1}^\mathbf{1}, for \beta\in\omega^2, stratify this region of the projective hierarchy, with the point-class \bigcup_{\beta\in\omega^2}\beta-\mathbf{\Pi}_\mathbf{1}^\mathbf{1} still falling strictly below \Delta\left(\omega^2-\mathbf{\Pi}_\mathbf{1}^\mathbf{1}\right). Dr. Derrick DuBose developed multiple …

Forecasting Pedestrian Trajectory Using Deep Learning, Arsal Syed

UNLV Theses, Dissertations, Professional Papers, and Capstones

In this dissertation we develop different methods for forecasting pedestrian trajectories. Complete understanding of pedestrian motion is essential for autonomous agents and social robots to make realistic and safe decisions. Current trajectory prediction methods rely on incorporating historic motion, scene features and social interaction to model pedestrian behaviors. Our focus is to accurately understand scene semantics to better forecast trajectories. In order to do so, we leverage semantic segmentation to encode static scene features such as walkable paths, entry/exits, static obstacles etc. We further evaluate the effectiveness of using semantic maps on different datasets and compare its performance with already …

On-Chip Terahertz Time-Domain Spectroscopy, Randy Sterbentz

UNLV Theses, Dissertations, Professional Papers, and Capstones

Terahertz time-domain spectroscopy (THz-TDS) allows the direct measurement of optical and charge carrier properties of materials in a region of the electromagnetic spectrum inaccessible to most other spectroscopic techniques. We have adapted the technique to an on-chip arrangement that allows us to measure these properties in nanoscale materials with dimensions below the diffraction limit. In this thesis, we present the operation of instruments and the mechanics behind performing on-chip terahertz time-domain spectroscopy. Three materials were tested to confirm the capabilities of our system to measure THz radiation: indium selenide (InSe), radiation-damaged silicon-on-sapphire (RD-SOS), and an erbium arsenide:gallium arsenide superlattice. Preliminary …