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1,189 results on '"Scott, Jennifer"'

1. On the concentration and energetic content of nectar sugars

Author

Pattrick, Jonathan G, Scott, Jennifer, and Wright, Geraldine A

Subjects
Quantitative Biology - Other Quantitative Biology
Abstract

The sugar concentration of nectar is a key metric for describing nectar composition and a major factor influencing pollinator visitation to flowers. Across pollination biology research there are multiple approaches in use for describing nectar sugar concentration. With these different approaches there are several potential sources of confusion which, if not accounted for, can lead to errors. Further potential for error arises if researchers wish to make comparisons between the energetic content of nectars containing different ratios of sucrose, fructose and glucose. Regardless of whether concentration is measured per mole or per unit mass, the energetic content differs between the hexose sugars (glucose and fructose) and sucrose. Appropriate conversion is needed for direct comparison. Here we address these two issues with the following aims. We consolidate the literature on this topic with examples of the different methods for reporting nectar sugar concentrations, provide insight into potential sources of error, and derive equations for converting between the different ways of expressing sugar concentration for the three primary nectar sugars: sucrose, glucose and fructose. Second, we discuss the relative energetic content of sucrose, glucose, and fructose, and rationalise adjustment of "energetic value" rather than reporting concentration directly. In this way, we hope to harmonise ongoing work in pollination ecology., Comment: 23 pages

Published
2024

5. On incomplete Cholesky factorizations in half precision arithmetic

Author

Scott, Jennifer and Tůma, Miroslav

Subjects
Mathematics - Numerical Analysis, 65F08, 65F10
Abstract

Incomplete factorizations have long been popular general-purpose algebraic preconditioners for solving large sparse linear systems of equations. Guaranteeing the factorization is breakdown free while computing a high quality preconditioner is challenging. A resurgence of interest in using low precision arithmetic makes the search for robustness more urgent and tougher. In this paper, we focus on symmetric positive definite problems and explore a number of approaches: a look-ahead strategy to anticipate break down as early as possible, the use of global shifts, and a modification of an idea developed in the field of numerical optimization for the complete Cholesky factorization of dense matrices. Our numerical simulations target highly ill-conditioned sparse linear systems with the goal of computing the factors in half precision arithmetic and then achieving double precision accuracy using mixed precision refinement., Comment: 18 pages

Published
2024

7. Index

Author

Radcliffe, Kendahl, Scott, Jennifer, and Werner, Anja

Published
2015

22. Contents

Author

Radcliffe, Kendahl, Scott, Jennifer, and Werner, Anja

Published
2015

23. Acknowledgments

Author

Radcliffe, Kendahl, Scott, Jennifer, and Werner, Anja

Published
2015

26. Avoiding breakdown in incomplete factorizations in low precision arithmetic

Author

Scott, Jennifer and Tůma, Miroslav

Subjects
Mathematics - Numerical Analysis, 65F08 (Primary) 65F10 (Secondary), G.1.3, G.4
Abstract

The emergence of low precision floating-point arithmetic in computer hardware has led to a resurgence of interest in the use of mixed precision numerical linear algebra. For linear systems of equations, there has been renewed enthusiasm for mixed precision variants of iterative refinement. We consider the iterative solution of large sparse systems using incomplete factorization preconditioners. The focus is on the robust computation of such preconditioners in half precision arithmetic and employing them to solve symmetric positive definite systems to higher precision accuracy; however, the proposed ideas can be applied more generally. Even for well-conditioned problems, incomplete factorizations can break down when small entries occur on the diagonal during the factorization. When using half precision arithmetic, overflows are an additional possible source of breakdown. We examine how breakdowns can be avoided and we implement our strategies within new half precision Fortran sparse incomplete Cholesky factorization software. Results are reported for a range of problems from practical applications. These demonstrate that, even for highly ill-conditioned problems, half precision preconditioners can potentially replace double precision preconditioners, although unsurprisingly this may be at the cost of additional iterations of a Krylov solver., Comment: 25 pages

Published
2024

27. Algorithms for Sparse Linear Systems

Author

Scott, Jennifer and Tůma, Miroslav

Subjects
Sparse Matrices, Algebraic Preconditioners, Sparse Direct Methods, Incomplete Factorizations, Approximate Inverses, thema EDItEUR::P Mathematics and Science::PB Mathematics::PBK Calculus and mathematical analysis::PBKS Numerical analysis, thema EDItEUR::P Mathematics and Science::PB Mathematics::PBF Algebra, thema EDItEUR::P Mathematics and Science::PD Science: general issues::PDE Maths for scientists
Abstract

Large sparse linear systems of equations are ubiquitous in science, engineering and beyond. This open access monograph focuses on factorization algorithms for solving such systems. It presents classical techniques for complete factorizations that are used in sparse direct methods and discusses the computation of approximate direct and inverse factorizations that are key to constructing general-purpose algebraic preconditioners for iterative solvers. A unified framework is used that emphasizes the underlying sparsity structures and highlights the importance of understanding sparse direct methods when developing algebraic preconditioners. Theoretical results are complemented by sparse matrix algorithm outlines. This monograph is aimed at students of applied mathematics and scientific computing, as well as computational scientists and software developers who are interested in understanding the theory and algorithms needed to tackle sparse systems. It is assumed that the reader has completed a basic course in linear algebra and numerical mathematics.

Published
2023
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32. Methionine synthases as targets for antifungal drug development

Author

Scott, Jennifer, Bromley, Michael, Bignell, Elaine, and Amich Elias, Jorge

Subjects
folates, methionine synthase, regulatable promoter, virulence, established infection, target validation, human pathogen, conditionally essentiality, primary metabolism, enzyme assay, drug discovery, sulfur, mycoses, fungi, mycology, aspergillus fumigatus, aspergillosis, fungal
Abstract

Fungal infections pose an urgent threat to human health and are responsible for approximately 1.6 million deaths annually. Current therapeutic options for life-threatening mycoses, such as those caused by Aspergillus fumigatus, Candida albicans or Cryptococcus neoformans, are severely limited and even under antifungal treatment these infections have mortality rates of ~50%. To improve patient outcomes there is a critical need for development of novel antimycotic drugs. This urgency is further exacerbated by the pharmacological weaknesses of current chemotherapeutics, surges in susceptible patient groups and rising antifungal resistance. Fungal pathogenic potential is strongly dependent on metabolic versatility. Pathways required for cellular metabolism and nutrient homeostasis in host tissues are fundamental for infection and represent exciting targets for drug discovery. The fungal cobalamin-independent methionine synthase (metH), which belongs to a different enzyme class to the cobalamin-dependent version found in humans, forms a junction between two critical primary metabolic pathways: the transsulfuration and one-carbon cycles. The enzyme has been shown to be essential for the viability and/ or virulence of A. fumigatus and other clinically relevant fungal species indicating it has potential as a fungal specific target with broad applications. However, the reason why MetH is indispensable for fungi beyond methionine auxotrophy, has so far not been identified. To improve the likelihood of success in the drug discovery process and fully exploit the enzyme's potential as an antifungal target this thesis investigated the mechanistic basis of MetH's essentiality in A. fumigatus. Phenotypic analyses using point-mutated versions of MetH revealed that enzymatic activity converting homocysteine to methionine is indispensable for A. fumigatus viability. Overexpression of genes that prevent accumulation of the potentially toxic substrate homocysteine did not rescue growth, implying that its accumulation is not responsible for the enzyme's essentiality. Supplementation of the growth media with several metabolites which are potentially depleted in the absence of MetH's enzymatic activity restored fungal viability with very limited growth. This suggested that methionine synthases' essentiality is explained by the depletion of critical molecules. Metabolomics analyses indicated that suppressing metH reduces cell energetics and phenotypic experiments confirmed that this was the additional cause of MetH essentiality in A. fumigatus, as supplementation with compounds selected to enhance energetics was able to fully rescue growth of the fungus in the absence of methionine synthase enzymatic activity. Taken together, our results suggest that cellular energetics is deleteriously disrupted in MetH's absence, supporting methionine synthase's value as an antifungal drug target. As conditions encountered, and consequently fungal metabolic requirements, may vary significantly throughout infection it is crucial to validate targets in established infections. To ascertain the relevance of MetH for fungal growth in various developmental stages we took advantage of the metH_tetOFF mutant, which expresses metH under the control of the regulatable tetOFF system, whereby the addition of doxycycline (Dox) shuts down expression of the gene. Modulation of metH expression in vitro revealed that it is required for growth of conidia, germlings and hyphae in a fungistatic manner. The genetic model was optimised for use in murine and Galleria mellonella models of established invasive aspergillosis. These models showed that downregulation of metH reduces A. fumigatus virulence in established infections at a level comparable to downregulating expression of the target of the azoles, the lanosterol 14-a-demethylase, making methionine synthase an attractive antifungal drug target. Following validation of MetH as a promising antifungal target this work investigated whether the enzyme was druggable and assayable. In this study we aimed to use complimentary approaches to initiate the early stages of drug development: a structure-based virtual screening for the directed design of binding fragments and optimisation of a simple, cost-effective enzymatic assay suitable for high-throughput screening. To facilitate computational analyses the structure A. fumigatus MetH was predicted using the previously crystallised, and highly similar, C. albicans version of the enzyme. In silico comparisons determined structural differences between the substrate binding sites of human and fungal methionine synthases, which could guide the production of novel fungal specific inhibitors with reduced off target binding. Molecular docking of ligands from the Maybridge Ro3 fragment library identified fragments with a high probability to specifically bind regions crucial for the fungal MetH's enzymatic activity. Finally, the expression and purification of soluble MetH in Escherichia coli was achieved, which allowed optimisation of an economic method of measuring appearance of one of the products of MetH's enzymatic reaction. This enzymatic assay provides a promising tool by which to measure the ability of potential drugs to inhibit methionine synthase activity during the early stages of drug development. Overall, our results support MetH as an attractive druggable, specific and broad-spectrum antifungal drug target that is relevant to the establishment and progression of invasive disease. The insights gained in this work provides the opportunity to harness the full potential of methionine synthase as an antimycotic target in A. fumigatus and provides tools for the interrogation and validation of other targets in in vivo models of established invasive pulmonary aspergillosis.

Published
2023

33. Data-driven subclassification of ANCA-associated vasculitis: model-based clustering of a federated international cohort

Author

Tassoni, Adrian, Mohammad, Aladdin J, Bettiol, Alessandra, Tais, Arlette, White, Arthur, Vaglio, Augusto, Terrier, Benjamin, Yaman, Beyza, Armstrong, Cecil, O'Sullivan, Declan, Wandrei, Dagmar, Kalra, Dipak, Schubach, Fabian, Dradin, François, Emmi, Giacomo, Bagni, Giacomo, Ihorst, Gabriele, Aerts, Hannelore, Kardaoui, Hicham, Mattioli, Irene, Sengers, Iris, Musial, Jacek, Scott, Jennifer, Mills, John, Julie Power, Julie, Gisslander, Karl, Wawrzycka-Adamczyk, Katarzyna, McGlinn, Kris, Wójcik, Krzysztof, Aslett, Louis, Hederman, Lucy, Dunne, Margaret, Alba, Marco A, Christofidou, Maria, Little, Mark A, Segelmark, Mårten, Crnogorac, Matija, Rutherford, Matthew, Tesi, Michelangelo, Lea, Nathan, Basu, Neil, Lamprecht, Peter, Verhoeven, Peter, de Boer, Raïssa, Straka, Richard, Lichołai, Sabina, Arnold, Sabrina, Tesar, Vladimir, Puéchal, Xavier, Hruskova, Zdenka, Hrušková, Zdenka, Musiał, Jacek, Nazeer, Jamsheela, Ng, James, and Tesař, Vladimir

Published
2024
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37. Building Professional Bridges for Those Crossing Borders: Interprofessional Social Worker-Lawyer Training for Supporting Immigrant Clients

Author

Scott, Jennifer and Aronson, Lauren

Abstract

In recent years, immigrant family apprehensions at the United States southern border have more than doubled. Those wishing to stay enter a complex legal process as they either fight for lawful status or remain unauthorized. The trauma many experienced may inhibit their ability to articulate claims to legal status. Yet several relief options are only available to applicants who have suffered trauma. Social worker-lawyer collaboration can enhance advocacy on such cases. Social work educators can train practitioners to engage in effective interprofessional partnerships. We developed an interprofessional training tailored to social worker-lawyer collaborations supporting immigrant clients. We present the curriculum structure and post-training survey results, and offer suggestions for social work education on interprofessional collaborations in immigrant client advocacy.

Published
2023
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38. Attributes of Learning Organizations: Measuring Personalized Online Learning and Alternative Credentials as Part of a Learning Culture

Author

Scott, Jennifer L., Knezek, Gerald, Poirot, James R., and Lin-Lipsmeyer, Lin

Abstract

Work-based and employee-driven informal learning, training and development have been increasing in importance in the last few decades. Concurrently, organizations seek to measure the extent to which they develop a culture and structure that supports individual learning and organizational learning. This study examines the perception of a learning organization through the development and validation of a scale, which measures the extent to which the organization is perceived (1) to provide online learning that is personalized for its employees and (2) to recognize skills and competencies acquired through non-degree and other pathways. This research provides organizations with the ability to measure and benchmark attributes of their learning culture that are important to work-based and lifelong learning as well as talent recruitment and management.

Published
2023
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39. Sparse Matrix Ordering Algorithms

Author

Scott, Jennifer, Tůma, Miroslav, Málek, Josef, Editor-in-Chief, Süli, Endre, Editor-in-Chief, Kubis, Beata, Managing Editor, Bastian, Peter, Editorial Board Member, Bulíček, Miroslav, Editorial Board Member, Cianchi, Andrea, Editorial Board Member, De Lellis, Camillo, Editorial Board Member, Feireisl, Eduard, Editorial Board Member, Mehrmann, Volker, Editorial Board Member, Pick, Luboš, Editorial Board Member, Pokorný, Milan, Editorial Board Member, Průša, Vít, Editorial Board Member, Rajagopal, K R, Editorial Board Member, Sotin, Christophe, Editorial Board Member, Strakoš, Zdeněk, Editorial Board Member, Šverák, Vladimír, Editorial Board Member, Vybíral, Jan, Editorial Board Member, Scott, Jennifer, and Tůma, Miroslav

Published
2023
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40. Stability, Ill-Conditioning, and Symmetric Indefinite Factorizations

Author

Scott, Jennifer, Tůma, Miroslav, Málek, Josef, Editor-in-Chief, Süli, Endre, Editor-in-Chief, Kubis, Beata, Managing Editor, Bastian, Peter, Editorial Board Member, Bulíček, Miroslav, Editorial Board Member, Cianchi, Andrea, Editorial Board Member, De Lellis, Camillo, Editorial Board Member, Feireisl, Eduard, Editorial Board Member, Mehrmann, Volker, Editorial Board Member, Pick, Luboš, Editorial Board Member, Pokorný, Milan, Editorial Board Member, Průša, Vít, Editorial Board Member, Rajagopal, K R, Editorial Board Member, Sotin, Christophe, Editorial Board Member, Strakoš, Zdeněk, Editorial Board Member, Šverák, Vladimír, Editorial Board Member, Vybíral, Jan, Editorial Board Member, Scott, Jennifer, and Tůma, Miroslav

Published
2023
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41. Algebraic Preconditioners and Approximate Factorizations

Author

Scott, Jennifer, Tůma, Miroslav, Málek, Josef, Editor-in-Chief, Süli, Endre, Editor-in-Chief, Kubis, Beata, Managing Editor, Bastian, Peter, Editorial Board Member, Bulíček, Miroslav, Editorial Board Member, Cianchi, Andrea, Editorial Board Member, De Lellis, Camillo, Editorial Board Member, Feireisl, Eduard, Editorial Board Member, Mehrmann, Volker, Editorial Board Member, Pick, Luboš, Editorial Board Member, Pokorný, Milan, Editorial Board Member, Průša, Vít, Editorial Board Member, Rajagopal, K R, Editorial Board Member, Sotin, Christophe, Editorial Board Member, Strakoš, Zdeněk, Editorial Board Member, Šverák, Vladimír, Editorial Board Member, Vybíral, Jan, Editorial Board Member, Scott, Jennifer, and Tůma, Miroslav

Published
2023
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42. Sparse Cholesky Solver: The Factorization Phase

Author

Scott, Jennifer, Tůma, Miroslav, Málek, Josef, Editor-in-Chief, Süli, Endre, Editor-in-Chief, Kubis, Beata, Managing Editor, Bastian, Peter, Editorial Board Member, Bulíček, Miroslav, Editorial Board Member, Cianchi, Andrea, Editorial Board Member, De Lellis, Camillo, Editorial Board Member, Feireisl, Eduard, Editorial Board Member, Mehrmann, Volker, Editorial Board Member, Pick, Luboš, Editorial Board Member, Pokorný, Milan, Editorial Board Member, Průša, Vít, Editorial Board Member, Rajagopal, K R, Editorial Board Member, Sotin, Christophe, Editorial Board Member, Strakoš, Zdeněk, Editorial Board Member, Šverák, Vladimír, Editorial Board Member, Vybíral, Jan, Editorial Board Member, Scott, Jennifer, and Tůma, Miroslav

Published
2023
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43. Sparse LU Factorizations

Author

Scott, Jennifer, Tůma, Miroslav, Málek, Josef, Editor-in-Chief, Süli, Endre, Editor-in-Chief, Kubis, Beata, Managing Editor, Bastian, Peter, Editorial Board Member, Bulíček, Miroslav, Editorial Board Member, Cianchi, Andrea, Editorial Board Member, De Lellis, Camillo, Editorial Board Member, Feireisl, Eduard, Editorial Board Member, Mehrmann, Volker, Editorial Board Member, Pick, Luboš, Editorial Board Member, Pokorný, Milan, Editorial Board Member, Průša, Vít, Editorial Board Member, Rajagopal, K R, Editorial Board Member, Sotin, Christophe, Editorial Board Member, Strakoš, Zdeněk, Editorial Board Member, Šverák, Vladimír, Editorial Board Member, Vybíral, Jan, Editorial Board Member, Scott, Jennifer, and Tůma, Miroslav

Published
2023
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44. An Introduction to Sparse Matrices

Author

Scott, Jennifer, Tůma, Miroslav, Málek, Josef, Editor-in-Chief, Süli, Endre, Editor-in-Chief, Kubis, Beata, Managing Editor, Bastian, Peter, Editorial Board Member, Bulíček, Miroslav, Editorial Board Member, Cianchi, Andrea, Editorial Board Member, De Lellis, Camillo, Editorial Board Member, Feireisl, Eduard, Editorial Board Member, Mehrmann, Volker, Editorial Board Member, Pick, Luboš, Editorial Board Member, Pokorný, Milan, Editorial Board Member, Průša, Vít, Editorial Board Member, Rajagopal, K R, Editorial Board Member, Sotin, Christophe, Editorial Board Member, Strakoš, Zdeněk, Editorial Board Member, Šverák, Vladimír, Editorial Board Member, Vybíral, Jan, Editorial Board Member, Scott, Jennifer, and Tůma, Miroslav

Published
2023
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45. Sparse Cholesky Solver: The Symbolic Phase

Author

Scott, Jennifer, Tůma, Miroslav, Málek, Josef, Editor-in-Chief, Süli, Endre, Editor-in-Chief, Kubis, Beata, Managing Editor, Bastian, Peter, Editorial Board Member, Bulíček, Miroslav, Editorial Board Member, Cianchi, Andrea, Editorial Board Member, De Lellis, Camillo, Editorial Board Member, Feireisl, Eduard, Editorial Board Member, Mehrmann, Volker, Editorial Board Member, Pick, Luboš, Editorial Board Member, Pokorný, Milan, Editorial Board Member, Průša, Vít, Editorial Board Member, Rajagopal, K R, Editorial Board Member, Sotin, Christophe, Editorial Board Member, Strakoš, Zdeněk, Editorial Board Member, Šverák, Vladimír, Editorial Board Member, Vybíral, Jan, Editorial Board Member, Scott, Jennifer, and Tůma, Miroslav

Published
2023
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46. Introduction to Matrix Factorizations

Author

Scott, Jennifer, Tůma, Miroslav, Málek, Josef, Editor-in-Chief, Süli, Endre, Editor-in-Chief, Kubis, Beata, Managing Editor, Bastian, Peter, Editorial Board Member, Bulíček, Miroslav, Editorial Board Member, Cianchi, Andrea, Editorial Board Member, De Lellis, Camillo, Editorial Board Member, Feireisl, Eduard, Editorial Board Member, Mehrmann, Volker, Editorial Board Member, Pick, Luboš, Editorial Board Member, Pokorný, Milan, Editorial Board Member, Průša, Vít, Editorial Board Member, Rajagopal, K R, Editorial Board Member, Sotin, Christophe, Editorial Board Member, Strakoš, Zdeněk, Editorial Board Member, Šverák, Vladimír, Editorial Board Member, Vybíral, Jan, Editorial Board Member, Scott, Jennifer, and Tůma, Miroslav

Published
2023
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47. Sparse Matrices and Their Graphs

Author

Scott, Jennifer, Tůma, Miroslav, Málek, Josef, Editor-in-Chief, Süli, Endre, Editor-in-Chief, Kubis, Beata, Managing Editor, Bastian, Peter, Editorial Board Member, Bulíček, Miroslav, Editorial Board Member, Cianchi, Andrea, Editorial Board Member, De Lellis, Camillo, Editorial Board Member, Feireisl, Eduard, Editorial Board Member, Mehrmann, Volker, Editorial Board Member, Pick, Luboš, Editorial Board Member, Pokorný, Milan, Editorial Board Member, Průša, Vít, Editorial Board Member, Rajagopal, K R, Editorial Board Member, Sotin, Christophe, Editorial Board Member, Strakoš, Zdeněk, Editorial Board Member, Šverák, Vladimír, Editorial Board Member, Vybíral, Jan, Editorial Board Member, Scott, Jennifer, and Tůma, Miroslav

Published
2023
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48. Incomplete Factorizations

Author

Scott, Jennifer, Tůma, Miroslav, Málek, Josef, Editor-in-Chief, Süli, Endre, Editor-in-Chief, Kubis, Beata, Managing Editor, Bastian, Peter, Editorial Board Member, Bulíček, Miroslav, Editorial Board Member, Cianchi, Andrea, Editorial Board Member, De Lellis, Camillo, Editorial Board Member, Feireisl, Eduard, Editorial Board Member, Mehrmann, Volker, Editorial Board Member, Pick, Luboš, Editorial Board Member, Pokorný, Milan, Editorial Board Member, Průša, Vít, Editorial Board Member, Rajagopal, K R, Editorial Board Member, Sotin, Christophe, Editorial Board Member, Strakoš, Zdeněk, Editorial Board Member, Šverák, Vladimír, Editorial Board Member, Vybíral, Jan, Editorial Board Member, Scott, Jennifer, and Tůma, Miroslav

Published
2023
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49. Sparse Approximate Inverse Preconditioners

Author

Scott, Jennifer, Tůma, Miroslav, Málek, Josef, Editor-in-Chief, Süli, Endre, Editor-in-Chief, Kubis, Beata, Managing Editor, Bastian, Peter, Editorial Board Member, Bulíček, Miroslav, Editorial Board Member, Cianchi, Andrea, Editorial Board Member, De Lellis, Camillo, Editorial Board Member, Feireisl, Eduard, Editorial Board Member, Mehrmann, Volker, Editorial Board Member, Pick, Luboš, Editorial Board Member, Pokorný, Milan, Editorial Board Member, Průša, Vít, Editorial Board Member, Rajagopal, K R, Editorial Board Member, Sotin, Christophe, Editorial Board Member, Strakoš, Zdeněk, Editorial Board Member, Šverák, Vladimír, Editorial Board Member, Vybíral, Jan, Editorial Board Member, Scott, Jennifer, and Tůma, Miroslav

Published
2023
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50. Identifying Circumgalactic Medium Absorption in QSO Spectra: A Bayesian Approach

Author

Scott, Jennifer E., Shoemaker, Emileigh S., and Hamill, Colin D.

Subjects
Astrophysics - Astrophysics of Galaxies
Abstract

We present a study of candidate galaxy-absorber pairs for 43 low redshift QSO sightlines ($0.06 < z < 0.85$) observed with the {\it Hubble Space Telescope}/Cosmic Origins Spectrograph that lie within the footprint of the Sloan Digital Sky Survey with a statistical approach to match absorbers with galaxies near the QSO lines of sight using only the SDSS Data Release 12 photometric data for the galaxies, including estimates of their redshifts. Our Bayesian methods combine the SDSS photometric information with measured properties of the circumgalactic medium to find the most probable galaxy match, if any, for each absorber in the line of sight QSO spectrum. We find $\sim$630 candidate galaxy-absorber pairs using two different statistics. The methods are able to reproduce pairs reported in the targeted spectroscopic studies upon which we base the statistics at a rate of 72\%. The properties of the galaxies comprising the candidate pairs have median redshift, luminosity, and stellar mass, all estimated from the photometric data, $z=0.13$, $L=0.1L^*$, and $\log(M_*/M_{Sun}) = 9.7$. The median impact parameter of the candidate pairs is $\sim$430~kpc, or $\sim 3.5$ times the galaxy virial radius. The results are broadly consistent with the high \lya\ covering fraction out to this radius found in previous studies. This method of matching absorbers and galaxies can be used to prioritize targets for spectroscopic studies, and we present specific examples of promising systems for such follow-up., Comment: 55 pages, 23 figures, Accepted for publication in the Astrophysical Journal

Published
2021
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