Matching Items (241)
Description
Using Wide Field Camera 3 (WFC3) data from the Hubble Space Telescope (HST) archival project "SKYSURF", we model completeness with respect to the exposure time and background of an image. This is accomplished by adding simulated objects with varying magnitudes and sizes into these HST images, and determining the matching

Using Wide Field Camera 3 (WFC3) data from the Hubble Space Telescope (HST) archival project "SKYSURF", we model completeness with respect to the exposure time and background of an image. This is accomplished by adding simulated objects with varying magnitudes and sizes into these HST images, and determining the matching rate for each set of parameters. The fifty percent completeness results then can be compared to the Exposure Time Calculator (ETC), in order to assess the differences between it and our analysis of the archive data. We find that for larger objects and exposures the ETC predicts higher completeness magnitudes, while for smaller objects, the ETC predicts lower magnitudes.
ContributorsGoisman, Zachary (Author) / Windhorst, Rogier (Thesis director) / Carleton, Timothy (Committee member) / Barrett, The Honors College (Contributor) / Department of Physics (Contributor) / Electrical Engineering Program (Contributor)
Created2024-05
Description
Historical trends of artificial intelligence have, as shown by recent quantitative and qualitative studies, shown that the reported threats (as understood by the general public) are vastly different from the tech industry’s most pressing and vital concerns. The modern AI that most people interact with on a daily basis are

Historical trends of artificial intelligence have, as shown by recent quantitative and qualitative studies, shown that the reported threats (as understood by the general public) are vastly different from the tech industry’s most pressing and vital concerns. The modern AI that most people interact with on a daily basis are mostly helpful commercialized products or generative AI, leading to a cultural mindset where AI is an assistant capable of autonomous tasks. Popular fictional depictions of artificial intelligence clearly demonstrate that those perceptions of threats fall closely in line with the sorts of actions portrayed by AI characters, suggesting that pop media has a significant influence over its audience’s understanding of AI technology and its potential ramifications. To mitigate harm that AI tools can inflict upon the general public, there is an immediate need for technology-specific legislation, incentives and deterrents, and oversight so that artificial intelligence can be regulated and controlled.
ContributorsCrowe, Katlynn (Author) / Martin, Thomas (Thesis director) / Anderson, Lisa (Committee member) / Barrett, The Honors College (Contributor) / School of Mathematical and Statistical Sciences (Contributor) / Department of Physics (Contributor)
Created2024-05
Description

Startups in the paper manufacturing industry are few and far between. Agrix paper takes a step towards innovating the traditional mass-scale paper making process and introduces non-wood fiber sourcing into the papermaking space. Using a hemp fiber base, Agrix Paper hopes to develop a new paper manufacturing process that derives

Startups in the paper manufacturing industry are few and far between. Agrix paper takes a step towards innovating the traditional mass-scale paper making process and introduces non-wood fiber sourcing into the papermaking space. Using a hemp fiber base, Agrix Paper hopes to develop a new paper manufacturing process that derives high-quality paper sourced from hemp and agriculture waste. Agrix Paper will reinvent the papermaking process for a more green and sustainable future.

ContributorsByrum, Emily (Author) / DiFernando, Anthony (Co-author) / Barraza-Córdova, Erik (Co-author) / Bryne, Jared (Thesis director) / Lee, Christopher (Committee member) / Barrett, The Honors College (Contributor) / Department of Physics (Contributor) / School for Engineering of Matter,Transport & Enrgy (Contributor)
Created2023-05
Description

In this project, we aim to fabricate PIN structure-like diodes for radiation detectors using Boron Nitride (BN). This fabrication is done by performing lithography and metal deposition processes on a Cubic Boron Nitride (cBN) of around 200 nm in thickness layer on top of a boron doped diamond substrate. The

In this project, we aim to fabricate PIN structure-like diodes for radiation detectors using Boron Nitride (BN). This fabrication is done by performing lithography and metal deposition processes on a Cubic Boron Nitride (cBN) of around 200 nm in thickness layer on top of a boron doped diamond substrate. The main goal is to create the most efficient and affordable alpha particle—and ideally neutron—detector in a radiation setting. Thus, making more accessible radiation detectors that can be more easily produced and disposed of, as well as minimizing the size of conventional detectors.

ContributorsGutierrez, Eric (Author) / Nemanich, Robert (Thesis director) / Zaniewski, Anna (Committee member) / Barrett, The Honors College (Contributor) / Department of Physics (Contributor)
Created2023-05
Description

We implemented the well-known Ising model in one dimension as a computer program and simulated its behavior with four algorithms: (i) the seminal Metropolis algorithm; (ii) the microcanonical algorithm described by Creutz in 1983; (iii) a variation on Creutz’s time-reversible algorithm allowing for bonds between spins to change dynamically; and

We implemented the well-known Ising model in one dimension as a computer program and simulated its behavior with four algorithms: (i) the seminal Metropolis algorithm; (ii) the microcanonical algorithm described by Creutz in 1983; (iii) a variation on Creutz’s time-reversible algorithm allowing for bonds between spins to change dynamically; and (iv) a combination of the latter two algorithms in a manner reflecting the different timescales on which these two processes occur (“freezing” the bonds in place for part of the simulation). All variations on Creutz’s algorithm were symmetrical in time, and thus reversible. The first three algorithms all favored low-energy states of the spin lattice and generated the Boltzmann energy distribution after reaching thermal equilibrium, as expected, while the last algorithm broke from the Boltzmann distribution while the bonds were “frozen.” The interpretation of this result as a net increase to the system’s total entropy is consistent with the second law of thermodynamics, which leads to the relationship between maximum entropy and the Boltzmann distribution.

ContributorsLewis, Aiden (Author) / Chamberlin, Ralph (Thesis director) / Beckstein, Oliver (Committee member) / Barrett, The Honors College (Contributor) / School of Mathematical and Statistical Sciences (Contributor) / Department of Physics (Contributor)
Created2023-05
Description

The photodissociation of 1-bromobutane is explored using pump-probe spectroscopy and time-of-flight mass spectrometry. Fragments of bromobutane are constructed computationally and theoretical energies are calculated using Gaussian 16 software. It is determined that the dissociation of bromine from the parent molecule is the most observed fragmentation pathway arising from the excitation

The photodissociation of 1-bromobutane is explored using pump-probe spectroscopy and time-of-flight mass spectrometry. Fragments of bromobutane are constructed computationally and theoretical energies are calculated using Gaussian 16 software. It is determined that the dissociation of bromine from the parent molecule is the most observed fragmentation pathway arising from the excitation of the ground state parent molecule to a dissociative A state using two 400 nm, 3.1 eV pump photons. The dissociation energy of this pathway is 2.91 eV, leaving 3.3 eV of energy that is redistributed into the product fragments as vibrational energy. C4H9 has the highest relative intensity in the mass spectrum with a relative intensity of 1.00. It is followed by C2H5 and C2H4 at relative intensities of 0.73 and 0.29 respectively. Because of the negative correlation between C4H9 and these two fragments at positive time delays, it is concluded that most of these smaller molecules are formed from the further dissociation of the fragment C4H9 rather than any alternative pathways from the parent molecule. Thermodynamic analysis of these pathways has displayed the power of thermodynamic prediction as well as its limitations as it fails to consider kinetic limitations in dissociation reactions.

ContributorsGosman, Robert (Author) / Sayres, Scott (Thesis director) / Chizmeshya, Andrew (Committee member) / Barrett, The Honors College (Contributor) / Chemical Engineering Program (Contributor) / Department of Physics (Contributor)
Created2023-05
Description

This thesis focuses on how domain formation and local disorder mediate non-equilibrium order in the context of condensed matter physics. More specifically, the data supports c-axis CDW ordering in the context of the rare-earth Tritellurides. Experimental studies were performed on Pd:ErTe3 by ultra-fast pump-probe and x-ray free electron laser (XFEL).

This thesis focuses on how domain formation and local disorder mediate non-equilibrium order in the context of condensed matter physics. More specifically, the data supports c-axis CDW ordering in the context of the rare-earth Tritellurides. Experimental studies were performed on Pd:ErTe3 by ultra-fast pump-probe and x-ray free electron laser (XFEL). Ginzburg Landau models were used to simulate domain formation. Universal scaling analysis on the data reveals that topological defects govern the relaxation of domain walls in Pd:ErTe3. This thesis presents information on progress towards using light to control material domains.

ContributorsMiller, Alex (Author) / Teitelbaum, Samuel (Thesis director) / Belitsky, Andrei (Committee member) / Kaindl, Robert (Committee member) / Barrett, The Honors College (Contributor) / Department of Physics (Contributor) / School of Mathematical and Statistical Sciences (Contributor)
Created2023-05
Description

Growing interest in using volatile organic compounds (VOCs) as markers of biological function and health has highlighted the need for a standardized method to analyze gas metabolites released by biological organisms. Non-destructive VOC collection techniques have emerged, allowing researchers to study diseases over time without compromising the sample. However, continuous

Growing interest in using volatile organic compounds (VOCs) as markers of biological function and health has highlighted the need for a standardized method to analyze gas metabolites released by biological organisms. Non-destructive VOC collection techniques have emerged, allowing researchers to study diseases over time without compromising the sample. However, continuous sampling is often not performed, and previous systems have not undergone rigorous testing. To overcome current limitations, we developed a gas flow-based device and tested it for consistent headspace sweeping, cell viability and morphology, and detection accuracy. The results showed that the device offers a high degree of reproducibility, and our modeling shows that laminar flow conditions are maintained at experimental gas flow rates, ensuring consistent headspace sweeping. Furthermore, our modular design allowed us to adjust the temperature and input gas, allowing us to maintain a favorable environment for cell culture. Isotopic labeling and heavy VOC production confirmed that the system achieves sufficient sensitivity and reproducibility to monitor metabolic changes across time. This comprehensive evaluation demonstrates that our flow-based device has great potential in further research and subsequent clinical applications.

ContributorsAmbrose, Benjamin (Author) / Smith, Barbara (Thesis director) / Eshima, Jarrett (Committee member) / Barrett, The Honors College (Contributor) / Department of Physics (Contributor)
Created2023-05
Description

Hepatocellular Carcinoma (HCC) is one of the main types of liver cancer accounting for 75% of cases and is the second deadliest cancer worldwide. Chronic Hepatitis B (HBV) and Hepatitis C (HCV) remain one of the most important global risk factors and account for 80% of all HCC cases. HCC

Hepatocellular Carcinoma (HCC) is one of the main types of liver cancer accounting for 75% of cases and is the second deadliest cancer worldwide. Chronic Hepatitis B (HBV) and Hepatitis C (HCV) remain one of the most important global risk factors and account for 80% of all HCC cases. HCC also exhibits sex-differences with significantly higher incidence and worse prognosis in males. The mechanistic basis of these sex-differences is poorly understood. To identify genes and pathways that are sex-differentially expressed in viral-mediated HCC, we performed differential expression analysis on tumor vs. tumor adjacent samples that were stratified based on sex, viral etiology, and both. The differentially expressed genes were then used in a pathway enrichment analysis to identify potential pathways of interest. We found differentially expressed genes in both sexes and both etiologies. 65 genes were unique to females and 184 genes unique to males. 381 genes are unique to HBV and 195 genes are unique to HCV. We also found pathways that were significantly enriched by the differentially expressed genes. Ten pathways unique to the female tumor tumor-adjacent comparison and a majority of those pathways were a part of the cell cycle. Four enriched pathways unique to male tumor tumor-adjacent and three of them were a part of the immune system. There were no pathways unique to either etiology, but seven pathways shared by both etiologies. Two were a part of the cell cycle and one involved lipid metabolism. These differentially expressed genes and significant pathways are potential targets for individualized therapeutics and diagnostics for HCC.

ContributorsJorgensen, Annika (Author) / Wilson, Melissa (Thesis director) / Buetow, Kenneth (Committee member) / Barrett, The Honors College (Contributor) / School of Life Sciences (Contributor) / Department of Physics (Contributor)
Created2023-05
Description

Studying the so-called ”hidden” phases of quantum materials—phases that do not exist under equilibrium conditions, but can be accessed with light—reveals new insights into the broader field of structural phase transitions. Using terahertz irradiation as well as hard x-ray probes made available by x-ray free electron lasers (XFELs) provides unique

Studying the so-called ”hidden” phases of quantum materials—phases that do not exist under equilibrium conditions, but can be accessed with light—reveals new insights into the broader field of structural phase transitions. Using terahertz irradiation as well as hard x-ray probes made available by x-ray free electron lasers (XFELs) provides unique capabilities to study phonon dispersion in these materials. Here, we study the cubic peak of the quantum paraelectric strontium titanate (SrTiO3, STO) below the 110 K cubic-to-tetragonal tran- sition. Our results reveal a temperature and field strength dependence of the transverse acoustic mode in agreement with previous work on the avoided crossing occurring at finite wavevector, as well as evidence of anharmonic coupling between transverse optical phonons and a fully symmetric A1g phonon. These results elucidate previous optical studies on STO and hold promise for future studies on the hidden metastable phases of quantum materials.

ContributorsStanton, Jade (Author) / Teitelbaum, Samuel (Thesis director) / Smith, David (Committee member) / Barrett, The Honors College (Contributor) / School of Mathematical and Statistical Sciences (Contributor) / Department of Physics (Contributor)
Created2023-05