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2022

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Correlates Of Licensure Examination And College Academic Performance Of Teacher Education Graduates, Rolly T. Dagdagui, Keith Jimson B. Mang-Usan Dec 2022

Correlates Of Licensure Examination And College Academic Performance Of Teacher Education Graduates, Rolly T. Dagdagui, Keith Jimson B. Mang-Usan

U.P. Los Baños Journal

This study examines the performance of Bachelor of Secondary Education (BSED) graduates from one of the Cordillera Administrative Region's State Colleges and Universities from 2016 to 2018. It evaluated academic performance across three domains: general education, professional education, specialization, and overall LET performance. The relationship between academic performance and LET performance was also investigated. In this study, the descriptive-correlational research method was used. The collected data was statistically treated with frequency, mean, and percentage on descriptive, ANOVA on testing significant difference with LSD post hoc analysis, and Pearson r correlation on test of performance relationship. The findings revealed that the …

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Uncertainty Of Icesat-2 Atl06- And Atl08-Derived Snow Depths For Glacierized And Vegetated Mountain Regions, Ellyn M. Enderlin, Colten M. Elkin, Madeline Gendreau, H.P. Marshall, Shad O'Neel, Christopher Mcneil, Caitlyn Florentine, Louis Sass Dec 2022

Uncertainty Of Icesat-2 Atl06- And Atl08-Derived Snow Depths For Glacierized And Vegetated Mountain Regions, Ellyn M. Enderlin, Colten M. Elkin, Madeline Gendreau, H.P. Marshall, Shad O'Neel, Christopher Mcneil, Caitlyn Florentine, Louis Sass

Geosciences Faculty Publications and Presentations

Seasonal snow melt dominates the hydrologic budget across a large portion of the globe. Snow accumulation and melt vary over a broad range of spatial scales, preventing accurate extrapolation of sparse in situ observations to watershed scales. The lidar onboard the Ice, Cloud, and land Elevation, Satellite (ICESat-2) was designed for precise mapping of ice sheets and sea ice, and here we assess the feasibility of snow depth-mapping using ICESat-2 data in more complex and rugged mountain landscapes. We explore the utility of ATL08 Land and Vegetation Height and ATL06 Land Ice Height differencing from reference elevation datasets in two …

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Culturally Responsive Teaching, Kimberly Shorey Dec 2022

Culturally Responsive Teaching, Kimberly Shorey

Honors Program Theses and Projects

Many classrooms, across all academic domains (reading, math, science, and social studies), are not culturally inclusive in terms of student race and ethnicity. As teachers, we can address this problem by promoting and incorporating culturally inclusive practices as we present subject content. Culturally responsive teaching promotes equitable student growth and development in the academic classroom. The primary purpose of this research was to build a website that shares culturally responsive teaching methods that educators can implement for their students. This online resource shares techniques for implementing an array of culturally diverse books into the curriculum, integrating cultural aspects into math …

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The Evolutionary Dynamics Of Infectious Diseases On An Unstable Planet: Insights From Modeling The Stockholm Paradigm, Angie T. C. Souza, Sabrina B. L. Araujo, Walter A. Boeger Dec 2022

The Evolutionary Dynamics Of Infectious Diseases On An Unstable Planet: Insights From Modeling The Stockholm Paradigm, Angie T. C. Souza, Sabrina B. L. Araujo, Walter A. Boeger

MANTER: Journal of Parasite Biodiversity

Emerging infectious diseases (EIDs) are, besides a question of food safety and public health, an ecological and evolutionary issue. The recognition of this condition combined with the accumulation of evidence that pathogens are not specialists in their original hosts evidences the need for understanding how the dynamics of interaction between pathogens and hosts occurs. The Stockholm Paradigm (SP) provides the theoretical fundaments to understand the dynamics of diseases and design proactive measures to avoid the emergence and reemergence of infectious diseases. In this review, we revisit the models that evaluate several aspects of the proposed dynamics of the SP, including …

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Low-Resource Machine Learning Techniques For The Analysis Of Online Social Media Textual Data, Toktam Amanzadeh Oghaz Dec 2022

Low-Resource Machine Learning Techniques For The Analysis Of Online Social Media Textual Data, Toktam Amanzadeh Oghaz

Electronic Theses and Dissertations, 2020-2023

Low-resource and label-efficient machine learning methods can be described as the family of statistical and machine learning techniques that can achieve high performance without needing a substantial amount of labeled data. These methods include both unsupervised learning techniques, such as LDA, and supervised methods, such as active learning, each providing different benefits. Thus, this dissertation is devoted to the design and analysis of unsupervised and supervised techniques to provide solutions for the following problems: Unsupervised narrative summary extraction for social media content, Social media text classification with Active Learning (AL), Investigating restrictions and benefits of using Curriculum Learning (CL) for …

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Data-Driven Power System Stability Analysis And Control, Jian Xie Dec 2022

Data-Driven Power System Stability Analysis And Control, Jian Xie

Electronic Theses and Dissertations, 2020-2023

In recent years, with the expansion of power system size, the increase of interconnection and the use of large-scale renewable energy, power system stability and safe operations have become more prominent, causing challenges to the normal operation of power grid. Traditional analysis rely on detailed models of the system. But for real power systems, the operating state of the system is variable, and the model-based analysis methods may not accurately reflect the real operating state of the system. Therefore, this dissertation is focused on data-driven stability analysis and control. First, a method for locating the oscillation source of multi-machine systems …

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A Transdisciplinary Emergent Approach For Systems And Interventions (Easi), Chaithanya Renduchintala Dec 2022

A Transdisciplinary Emergent Approach For Systems And Interventions (Easi), Chaithanya Renduchintala

Electronic Theses and Dissertations, 2020-2023

In modeling human behavior and social structures several factors can emerge over time this can be attributed to the availability of new data, increased complexity, changes to the organizational structure, interventions, introduction of innovative technology or services and due to improved knowledge and treatments. We hypothesize a new class of emergent decision support systems that continually evolve to account for this "Causal Drift". In this work, we illustrate the application of the Emergent Approach to Systems and Intervention (EASI™) methodology with the example of Community Intervention Activity Model (CIAM) to reduce the rate of diabetic hospitalization at the local/ county …

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Modeling The Effects Of Diversity And Corporations On Participation Dynamics In Floss Ecosystems, Olivia Newton Dec 2022

Modeling The Effects Of Diversity And Corporations On Participation Dynamics In Floss Ecosystems, Olivia Newton

Electronic Theses and Dissertations, 2020-2023

A multitude of societal issues associated with the development of technology have emerged over the years including, but not limited to: insufficient personnel for maintenance; a lack of accessibility; the spread of harmful tools; and bias and discrimination against marginalized groups. I propose that a systems perspective is necessary to identify potential leverage points in technology production systems to influence them towards increased social good and evaluate their effectiveness for intervention. Toward this end, I conducted a mixed-methods study of a widely-adopted approach in tech production, free/libre and open source software (FLOSS) development. A survey was distributed to elicit responses …

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Quantifying Volatile Fatty Acid Concentrations During The Pretreatment And Anaerobic Digestion Process, Sascha Boutelle Dec 2022

Quantifying Volatile Fatty Acid Concentrations During The Pretreatment And Anaerobic Digestion Process, Sascha Boutelle

Theses and Dissertations

Producing renewable energy from biomass or from the wastewater treatment process has gained momentum in the past 20 years. Anaerobic digestion has historically been used as one step in the waste treatment process, to both reduce the mass of waste that needs to be disposed of and to generate biogas. This process is typically only able to reduce 30-40% of the waste mass because of the recalcitrant nature of the waste streams being treated. Anaerobic pretreatment with the thermophilic bacteria Caldicellulosiruptor bescii (C. bescii) has been proven to increase the percentage of mass digested and consequently increase methane production to …

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Torward Real-World Cross-View Image Geo-Localization, Sijie Zhu Dec 2022

Torward Real-World Cross-View Image Geo-Localization, Sijie Zhu

Electronic Theses and Dissertations, 2020-2023

Cross-view image geo-localization aims to determine the locations of street-view query images by searching in a GPS-tagged reference image database from aerial view. One fundamental challenge is the dramatic view-point/domain difference between the street-view query images and aerial-view reference images. Recent works have made great progress on bridging the domain gap with advanced deep learning techniques and geometric prior knowledge, i.e. the query is aligned at the center of one aerial-view reference image (spatial alignment) and the orientation relationship between the two views is known (orientation alignment). However, such prior knowledge of the geometry correspondence of the two views is …

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Investigation Of The Effect Of Corundum Layer On The Heat Transfer Of Sic Slab, Sri Elsa Fatmi, Donanta Dhaneswara, Muhammad Anis, Ahmad Ashari Dec 2022

Investigation Of The Effect Of Corundum Layer On The Heat Transfer Of Sic Slab, Sri Elsa Fatmi, Donanta Dhaneswara, Muhammad Anis, Ahmad Ashari

Journal of Materials Exploration and Findings

Aluminum is the most widely used metal in industry. Aluminum smelting is one of the important steps that needs to be carried out to produce products made of aluminum metal with good quality. In the process of smelting aluminum there are several problems that occur, one of which is the growth of corundum in Si C refractories which affects the quality of aluminum melt and the durability of Si C refractories. This research was conducted to see the heat transfer in Si C and the effect of the presence of Corundum on heat transfer. This research was carried out by …

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Dynamic Rbi With Central Difference Method Approach In Calculation Of Uniform Corrosion Rate: A Casestudy On Gas Pipelines, M.Riefqi Dwi Alviansyah, Fernanda Hartoyo, Zahra Nadia Nurullia, Ari Kurniawan Dec 2022

Dynamic Rbi With Central Difference Method Approach In Calculation Of Uniform Corrosion Rate: A Casestudy On Gas Pipelines, M.Riefqi Dwi Alviansyah, Fernanda Hartoyo, Zahra Nadia Nurullia, Ari Kurniawan

Journal of Materials Exploration and Findings

The oil and gas industry generally uses a piping system to drain fluids. Even though the pipes used have been well designed, the use of pipes as a means of fluid transportation still provides the possibility of failure that can occur at any time, one of which is due to uniform corrosion. The use of standard Risk Based Inspection (RBI) according to the API RBI 581 document has been widely used to anticipate potential failures to pipe components. The use of standard RBI can reduce the risk of failure significantly. Because the standard RBI considers the component risk value to …

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Federated Learning And Applications In Cybersecurity, Ani Sreekumar Dec 2022

Federated Learning And Applications In Cybersecurity, Ani Sreekumar

Cybersecurity Undergraduate Research Showcase

Machine learning is a subfield of artificial intelligence that focuses on making predictions about some outcome based on information from a dataset. In cybersecurity, machine learning is often used to improve intrusion detection systems and identify trends in data that could indicate an oncoming cyber attack. Data privacy is an extremely important aspect of cybersecurity, and there are many industries that have more demanding laws to ensure the security of user data. Due to these regulations, machine learning algorithms can not be widely utilized in these industries to improve outcomes and accuracy of predictions. However, federated learning is a recent …

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High Voltage Aqueous Electrolyte Based Structural Supercapacitors For Electric Vehicles, Deepak Pandey Dec 2022

High Voltage Aqueous Electrolyte Based Structural Supercapacitors For Electric Vehicles, Deepak Pandey

Electronic Theses and Dissertations, 2020-2023

The current electric vehicles (EVs) face many challenges like limited charge capacity, low miles/charge, and long charging times. Herein, these issues are addressed by developing "energized composite," which is a multifunctional supercapacitor-based energy-storing carbon fiber reinforced polymer composite that can store supplemental electric energy and function as the body shell of EV's. This is achieved by developing a unique design, vertically aligning graphene sheets on carbon fiber electrodes and depositing metal oxides to obtain high energy density electrodes. A high-strength multilayer composite is fabricated using an alternate layer pattern configuration of epoxy and polyacrylamide gel electrolyte. The composite so developed …

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Investigating The Pedagogical Content Knowledge Of Georgia 6-12 Science Teachers In Relation To Conservation Of Mass, Lyric Portwood Dec 2022

Investigating The Pedagogical Content Knowledge Of Georgia 6-12 Science Teachers In Relation To Conservation Of Mass, Lyric Portwood

Doctor of Education in Secondary and Middle Grades Education Dissertations

The Law of Conservation of Matter is a crosscutting concept in science that has implications for all disciplines of science. Conservation of Matter concepts are interwoven into all middle school and high school science courses both within the Next Generation Science Standards (NGSS) and the Georgia Standards of Excellence (GSE). For students to become scientifically literate, teachers of science must be able to articulate the content accurately to students and anticipate student difficulties and misconceptions in understanding the content. In order to ensure that students successfully learn said content, science teachers must possess both content knowledge and pedagogical content knowledge. …

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Effects Of Exposure To Atmospheric Humidity On Breakdown Field Strength Measurements Of Polymers, Megan Loveland Dewaal Dec 2022

Effects Of Exposure To Atmospheric Humidity On Breakdown Field Strength Measurements Of Polymers, Megan Loveland Dewaal

Physics Capstone Projects

This study investigates the effects of absorbed water introduced via exposure to atmospheric humidity on electrostatic breakdown field strength measurements of polymers. Conducting breakdown tests under sample conditions appropriate for different applications is essential. If the breakdown field strength is overestimated for an application, an insulator may be used inappropriately in high electric fields where they are more likely to break down. Comparisons are made between: sets of pristine samples, samples that underwent a thorough vacuum bake out to remove absorbed water, and samples subject to subsequent incremental prolonged atmospheric exposure. These investigated the effects of absorbed water and determined …

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Is Cybersecurity Training Practical Or Not?, Bhawnish Sharma Dec 2022

Is Cybersecurity Training Practical Or Not?, Bhawnish Sharma

Cybersecurity Undergraduate Research Showcase

With technology growing, there has been an increase in cybercrime. Because of this, private and public sectors face global problems, i.e., phishing, security breaches, and identity theft. With cybersecurity software available on the internet, anyone can access it. As technology advances, cybersecurity experts must answer the tough question of, “is cybersecurity training practical or not”?

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Adaptive Analytic Continuation For The State Transition Tensors Of The Two-Body Problem, Tahsinul Haque Tasif Dec 2022

Adaptive Analytic Continuation For The State Transition Tensors Of The Two-Body Problem, Tahsinul Haque Tasif

Electronic Theses and Dissertations, 2020-2023

In the past few decades, Kessler syndrome (named after Donald J. Kessler) has become a point of concern in the field of Space Situational Awareness and the future of space missions. It refers to a scenario, where space debris in Earth's orbits collides and creates an exponential increase in space debris numbers leading to more collisions and more debris. In order to handle the resulting challenges like conjunction analysis, tracking, and probability of collisions, the State Transition Matrix (STM) and Tensors (STTs) of the orbit problem play a significant role. In addition, STM and STTs are ubiquitous in spaceflight dynamics, …

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Travel Dashboard, Naveen Kumar Lalam Dec 2022

Travel Dashboard, Naveen Kumar Lalam

Masters Projects

Travel Dashboard is a one stop solution for all the travel needs of travelers and tourists visiting a new place. In today’s world travel has become a part of everyone’s life and we love to travel whenever there is a holiday or long a weekend. Earlier, the travel industry was mostly dictated by tour operators who used to plan and organize tours with standard itinerary, while tourists had very limited choices and needed to pick one of the itineraries given by operator as there was no other option left for them. Time have changed now as travelers love to plan …

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Muse: A Genetic Algorithm For Musical Chord Progression Generation, Griffin Going Dec 2022

Muse: A Genetic Algorithm For Musical Chord Progression Generation, Griffin Going

Masters Projects

Foundational to our understanding and enjoyment of music is the intersection of harmony and movement. This intersection manifests as chord progressions which themselves underscore the rhythm and melody of a piece. In musical compositions, these progressions often follow a set of rules and patterns which are themselves frequently broken for the sake of novelty. In this work, we developed a genetic algorithm which learns these rules and patterns (and how to break them) from a dataset of 890 songs from various periods of the Billboard Top 100 rankings. The algorithm learned to generate increasingly valid, yet interesting chord progressions via …

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Study On Nutrition Labeling Optimization Based On Augmented Reality, Huang Ze-Ying, Li Hai-Jun Dec 2022

Study On Nutrition Labeling Optimization Based On Augmented Reality, Huang Ze-Ying, Li Hai-Jun

Food and Machinery

To optimize nutrition labeling in China, this paper tried to overlay virtual information on original information from the nutrition information table by using augmented reality (AR), and then added three new guidance functions of nutrition labeling knowledge popularization, nutritional content auxiliary calculation and precise nutrition guidance through database construction, 3D modeling building and mobile phone application making. For the implementation of AR nutrition labeling, some suggestions were put forward, such as the establishment of national nutrition health database, the forecast of the implementation effect of the labeling and the operation mechanism design.

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Research On Mill Distance Monitoring System Based On Machine Vision, Lu Shao-Jie, Wu Wen-Bin, Zhang Wen-Long, Hou Ning-Pei, Liu Pei-Kang, Zhao Qi-Feng Dec 2022

Research On Mill Distance Monitoring System Based On Machine Vision, Lu Shao-Jie, Wu Wen-Bin, Zhang Wen-Long, Hou Ning-Pei, Liu Pei-Kang, Zhao Qi-Feng

Food and Machinery

Objective: Real-time monitoring of the grinding roller distance of the pulverizer. Methods: CCD industrial camera was used to collect the rolling distance image, threshold segmentation and morphology were used to preprocess the gray image, and then the edge detection algorithm combined with MATLAB software and mathematical operation were used to eliminate the irrelevant edge points, and finally the rolling distance of the mill was calculated. The feasibility and veracity of the system were verified by comparing the value of gauge and the value of system monitoring. Results: The data fluctuation range of the online monitoring system was …

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Detection Of Defective Shrimp And Optimization For Key Parameters In Multi-Channel Automatic Elimination System, Zeng Ling-Xiao, Liu Zi-Hao, Yan Zhi-Peng, Zhao Kun, Liu Hao Dec 2022

Detection Of Defective Shrimp And Optimization For Key Parameters In Multi-Channel Automatic Elimination System, Zeng Ling-Xiao, Liu Zi-Hao, Yan Zhi-Peng, Zhao Kun, Liu Hao

Food and Machinery

Objective: When inspecting the appearance and quality of Litopenaeus Vannamei, the system can realize the automatic elimination of defective shrimps efficiently. Methods: Constructed an automatic shrimp elimination equipment and quality inspection. Structured an algorithm to extract shrimps’ morphological feature, complete the clarification of normal and defective shrimps. Realizing defective shrimps’ elimination by blowing them from the side to middle. Through the analysis of internal stress of shrimp, we calculated the correlation between blowing volume and moving distance. Moreover, the relationships among gass output volume, shrimps’ moving distance and speed had been optimized. Results: With the increasing of …

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Effect Of Spray Drying On The Functional Properties Of Egg Yolk Powder, Ang Yuan, Duan Xu, Cao Wei-Wei, Ren Guang-Yue, Wang Zhe, Li Lin-Lin Dec 2022

Effect Of Spray Drying On The Functional Properties Of Egg Yolk Powder, Ang Yuan, Duan Xu, Cao Wei-Wei, Ren Guang-Yue, Wang Zhe, Li Lin-Lin

Food and Machinery

Objective: This study aimed to develop the application of egg yolk powder in the field of feed, functional food and biopharmaceuticals. Methods: Using fresh eggs as raw materials, yolk powder was prepared by spray drying, and the effects of different parameters on the content of yolk antibody (IgY), protein structure and functional properties of egg yolk powder were analyzed. Results: Considering the antibody content, physicochemical properties and functional properties of egg yolk powder comprehensively, when the inlet air temperature was 140 ℃ and the feed flow rate was 600 mL/h, the IgY content of egg yolk powder …

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Preparation And Application Of Maillard Reaction Flavors Based On Cigar Tobacco Leaf Residues, Xu Xiu-Juan, Wang Ai-Xia, Hu Shao-Dong, Shi Qing-Zhao, Yang Chun-Qiang, Ma Ji Dec 2022

Preparation And Application Of Maillard Reaction Flavors Based On Cigar Tobacco Leaf Residues, Xu Xiu-Juan, Wang Ai-Xia, Hu Shao-Dong, Shi Qing-Zhao, Yang Chun-Qiang, Ma Ji

Food and Machinery

Objective: To solve the problem of tobacco leaf residues produced during the production of tobacco extracts. Methods: Maillard reaction was carried out using aqueous extracts from cigar tobacco leaf residues as raw materials, and the effects of amino acid dosage and reaction time on the chemical composition of the Maillard reaction products and the sensory quality of cigarettes were systematically investigated. The relationship between the 18 components of the Maillard reaction product and the sensory index of cigarettes was also investigated. Results: ① Based on sensory effects, the optimal reaction conditions for the Maillard reaction based on …

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Observation Of Novel Phases Of Quantum Matter Beyond Topological Insulator, Sabin Regmi Dec 2022

Observation Of Novel Phases Of Quantum Matter Beyond Topological Insulator, Sabin Regmi

Electronic Theses and Dissertations, 2020-2023

Because of the unique electronic properties, intriguing novel phenomena, and potentiality in quantum device applications, the quantum materials with non-trivial band structures have enticed a bulk of research works over the last two decades. The experimental discovery of the three-dimensional topological insulators (TIs) - bulk insulators with surface conduction via spin-polarized electrons - kicked off the flurry of research interests towards such materials, which resulted in the experimental discovery of new topological phases of matter beyond TIs. The topological semimetallic phase in Dirac, Weyl, and nodal-line semimetals is an example, where the classification depends on the dimensionality, degeneracy, and symmetry …

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The Facile Preparation Of Bis(Imino)Pyridine Complexes Via Mechanochemistry And Inorganic Synthons Via Benign Reductants, Thomas Shaw Dec 2022

The Facile Preparation Of Bis(Imino)Pyridine Complexes Via Mechanochemistry And Inorganic Synthons Via Benign Reductants, Thomas Shaw

Electronic Theses and Dissertations, 2020-2023

This thesis is comprised of two key themes: (i) leveraging mechanochemical synthetic methods for the green preparation of bis(imino)pyridine ligands and associated first row transition metal coordination complexes, and (ii) the preparation and characterization of both historic and novel mid-valent inorganic synthons via the use of dimethylphenylsilane as a stoichiometric reducing agent. The first portion of this thesis highlights the utilization of solvent-free vibratory ball-milling in lieu of traditional, solvent-based refluxes. A variety of both bis(imino)pyridine ligands and complexes were formed in drastically reduced timeframes with solvent-economical work-up procedures. This methodology was also leveraged for the isolation of acetyl(imino)pyridine ligands …

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The Impact Of Problem-Based Learning On Students Critical Thinking Skills And Peer Relationships, Rebecca Ostby Dec 2022

The Impact Of Problem-Based Learning On Students Critical Thinking Skills And Peer Relationships, Rebecca Ostby

Dissertations, Theses, and Projects

Education is a field that is constantly in motion. It is changing and adapting as educators and researchers try new concepts or ideas. One shift is implementing mathematics curriculum's that focus on problem-based learning. Throughout researching problem-based learning, there was a theme of its impacts on 21st-century skills that students possessed. Therefore, these research questions were created: How does problem-based learning in mathematics impact the critical thinking skills of middle school students? What is the impact of increased opportunities for critical thinking on students' collaboration with each other? Learners in an 8th-grade Algebra 1 class took a Likert …

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Effect Of X-Ray Illumination On Magnetic Domain Memory In [Co/Pd]/Irmn Multilayers, Colby Singint Walker Dec 2022

Effect Of X-Ray Illumination On Magnetic Domain Memory In [Co/Pd]/Irmn Multilayers, Colby Singint Walker

Theses and Dissertations

This thesis focuses on investigating the possible x-ray illumination effects on the magnetic domain memory (MDM) in magnetic [Co/Pd]IrMn multilayers. In this material, MDM is induced via exchange couplings between the ferromagnetic Co/Pd layer and the antiferromagnetic IrMn layer. To carry out this investigation, we have used magneto-transport and x-ray resonant magnetic scattering. The use of magneto-transport in-situ at synchrotron x-ray scattering facility has allowed us to follow the gradual effect of x-ray illumination on the amount of exchange bias, initially present after field cooling the material. With our in-situ measurements we have been able to see that x-ray illumination …

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A Very Luminous Jet From The Disruption Of A Star By A Massive Black Hole, Igor Andreoni, Michael W. Coughlin, Daniel A. Perley, Yuhan Yao, Wenbin Lu, S. Bradley Cenko, Harsh Kumar, Shreya Anand, Anna Y.Q. Ho, Mansi M. Kasliwal, Antonio De Ugarte Postigo, Ana Sagués-Carracedo, Steve Schulze, D. Alexander Kann, S. R. Kulkarni, Jesper Sollerman, Nial Tanvir, Armin Rest, Luca Izzo, Jean J. Somalwar, David L. Kaplan, Tomás Ahumada, G. C. Anupama, Katie Auchettl, Sudhanshu Barway, Eric C. Bellm, Varun Bhalerao, Joshua S. Bloom, Michael Bremer, Mattia Bulla, Eric Burns, Sergio Campana, Poonam Chandra Dec 2022

A Very Luminous Jet From The Disruption Of A Star By A Massive Black Hole, Igor Andreoni, Michael W. Coughlin, Daniel A. Perley, Yuhan Yao, Wenbin Lu, S. Bradley Cenko, Harsh Kumar, Shreya Anand, Anna Y.Q. Ho, Mansi M. Kasliwal, Antonio De Ugarte Postigo, Ana Sagués-Carracedo, Steve Schulze, D. Alexander Kann, S. R. Kulkarni, Jesper Sollerman, Nial Tanvir, Armin Rest, Luca Izzo, Jean J. Somalwar, David L. Kaplan, Tomás Ahumada, G. C. Anupama, Katie Auchettl, Sudhanshu Barway, Eric C. Bellm, Varun Bhalerao, Joshua S. Bloom, Michael Bremer, Mattia Bulla, Eric Burns, Sergio Campana, Poonam Chandra

Faculty Publications

Tidal disruption events (TDEs) are bursts of electromagnetic energy that are released when supermassive black holes at the centres of galaxies violently disrupt a star that passes too close1. TDEs provide a window through which to study accretion onto supermassive black holes; in some rare cases, this accretion leads to launching of a relativistic jet2–9, but the necessary conditions are not fully understood. The best-studied jetted TDE so far is Swift J1644+57, which was discovered in γ-rays, but was too obscured by dust to be seen at optical wavelengths. Here we report the optical detection of …

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