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1. Catastrophic Cyber Capabilities Benchmark (3CB): Robustly Evaluating LLM Agent Cyber Offense Capabilities

Author

Anurin, Andrey, Ng, Jonathan, Schaffer, Kibo, Wang, Ziyue, Schreiber, Jason, and Kran, Esben

Subjects
Computer Science - Cryptography and Security, Computer Science - Artificial Intelligence, Computer Science - Machine Learning, Computer Science - Performance
Abstract

LLM agents have the potential to revolutionize defensive cyber operations, but their offensive capabilities are not yet fully understood. To prepare for emerging threats, model developers and governments are evaluating the cyber capabilities of foundation models. However, these assessments often lack transparency and a comprehensive focus on offensive capabilities. In response, we introduce the Catastrophic Cyber Capabilities Benchmark (3CB), a novel framework designed to rigorously assess the real-world offensive capabilities of LLM agents. Our evaluation of modern LLMs on 3CB reveals that frontier models, such as GPT-4o and Claude 3.5 Sonnet, can perform offensive tasks such as reconnaissance and exploitation across domains ranging from binary analysis to web technologies. Conversely, smaller open-source models exhibit limited offensive capabilities. Our software solution and the corresponding benchmark provides a critical tool to reduce the gap between rapidly improving capabilities and robustness of cyber offense evaluations, aiding in the safer deployment and regulation of these powerful technologies., Comment: https://cybercapabilities.org/

Published
2024

2. Physics aware machine learning for micromagnetic energy minimization: recent algorithmic developments

Author

Schaffer, Sebastian, Schrefl, Thomas, Oezelt, Harald, Mauser, Norbert J, and Exl, Lukas

Subjects
Physics - Computational Physics, Statistics - Machine Learning, 62P35, 68T07, 65Z05
Abstract

In this work, we explore advanced machine learning techniques for minimizing Gibbs free energy in full 3D micromagnetic simulations. Building on Brown's bounds for magnetostatic self-energy, we revisit their application in the context of variational formulations of the transmission problems for the scalar and vector potential. To overcome the computational challenges posed by whole-space integrals, we reformulate these bounds on a finite domain, making the method more efficient and scalable for numerical simulation. Our approach utilizes an alternating optimization scheme for joint minimization of Brown's energy bounds and the Gibbs free energy. The Cayley transform is employed to rigorously enforce the unit norm constraint, while R-functions are used to impose essential boundary conditions in the computation of magnetostatic fields. Our results highlight the potential of mesh-free Physics-Informed Neural Networks (PINNs) and Extreme Learning Machines (ELMs) when integrated with hard constraints, providing highly accurate approximations. These methods exhibit competitive performance compared to traditional numerical approaches, showing significant promise in computing magnetostatic fields and the application for energy minimization, such as the computation of hysteresis curves. This work opens the path for future directions of research on more complex geometries, such as grain structure models, and the application to large scale problem settings which are intractable with traditional numerical methods., Comment: 39 pages, 9 figures

Published
2024

3. Hitting the Gym: Reinforcement Learning Control of Exercise-Strengthened Biohybrid Robots in Simulation

Author

Schaffer, Saul, Pamu, Hima Hrithik, and Webster-Wood, Victoria A.

Subjects
Computer Science - Robotics
Abstract

Animals can accomplish many incredible behavioral feats across a wide range of operational environments and scales that current robots struggle to match. One explanation for this performance gap is the extraordinary properties of the biological materials that comprise animals, such as muscle tissue. Using living muscle tissue as an actuator can endow robotic systems with highly desirable properties such as self-healing, compliance, and biocompatibility. Unlike traditional soft robotic actuators, living muscle biohybrid actuators exhibit unique adaptability, growing stronger with use. The dependency of a muscle's force output on its use history endows muscular organisms the ability to dynamically adapt to their environment, getting better at tasks over time. While muscle adaptability is a benefit to muscular organisms, it currently presents a challenge for biohybrid researchers: how does one design and control a robot whose actuators' force output changes over time? Here, we incorporate muscle adaptability into a many-muscle biohybrid robot design and modeling tool, leveraging reinforcement learning as both a co-design partner and system controller. As a controller, our learning agents coordinated the independent contraction of 42 muscles distributed on a lattice worm structure to successfully steer it towards eight distinct targets while incorporating muscle adaptability. As a co-design tool, our agents enable users to identify which muscles are important to accomplishing a given task. Our results show that adaptive agents outperform non-adaptive agents in terms of maximum rewards and training time. Together, these contributions can both enable the elucidation of muscle actuator adaptation and inform the design and modeling of adaptive, performant, many-muscle robots., Comment: 11 pages, 6 figures

Published
2024

4. Electric field induced second-order anomalous Hall transport in unconventional Rashba system

Author

Bhattacharya, Ankita and Black-Schaffer, Annica M.

Subjects
Condensed Matter - Mesoscale and Nanoscale Physics
Abstract

Nonlinear responses in transport experiments may unveil information and generate new phenomena in materials that are not accessible at linear order due to symmetry constraints. While the linear anomalous Hall response strictly requires the absence of time-reversal symmetry, the second-order, thus nonlinear, Hall response needs broken inversion symmetry. Recently, much effort has been made to obtain a second-order Hall voltage in response to a longitudinal ac driving current, both to obtain information about band geometric quantities and for its useful technological applications, including rectification and frequency doubling. Typically, additional material engineering is required in noncentrosymmetric systems to obtain second-order responses since it obeys a stringent crystallographic symmetry constraint. To circumvent this, an alternative route is to apply a dc electric field. In this Letter, we uncover an electric field induced second-order anomalous Hall effect in an inversion-broken system possessing unconventional Rashba bands. We establish that the quantum metric, a geometrical feature of electronic wave functions providing information on non-trivial structure of Bloch bands, is responsible for providing the nonlinear Hall response., Comment: 7 pages, 5 figures

Published
2024

5. Local and energy-resolved topological invariants for Floquet systems

Author

Ghosh, Arnob Kumar, Arouca, Rodrigo, and Black-Schaffer, Annica M.

Subjects
Condensed Matter - Mesoscale and Nanoscale Physics, Condensed Matter - Disordered Systems and Neural Networks
Abstract

Periodically driven systems offer a perfect breeding ground for out-of-equilibrium engineering of topological boundary states at zero energy ($0$-mode), as well as finite energy ($\pi$-mode), with the latter having no static analog. The Floquet operator and the effective Floquet Hamiltonian, which encapsulate the stroboscopic features of the driven system, capture both spectral and localization properties of the $0$- and $\pi$-modes but sometimes fail to provide complete topological characterization, especially when $0$- and $\pi$-modes coexist. In this work, we utilize the spectral localizer, a powerful local probe that can provide numerically efficient, spatially local, and energy-resolved topological characterization. In particular, we apply the spectral localizer to the effective Floquet Hamiltonian for driven one- and two-dimensional topological systems with no or limited symmetries and are able to assign topological invariants, or local markers, that characterize the $0$- and the $\pi$-boundary modes individually and unambiguously. Due to the spatial resolution, we also demonstrate that the extracted topological invariants are suitable for studying driven disordered systems and can even capture disorder-induced phase transitions., Comment: 11 pages, 6 figures; Comments are welcome

Published
2024

6. Perfect superconducting diode effect in altermagnets

Author

Chakraborty, Debmalya and Black-Schaffer, Annica M.

Subjects
Condensed Matter - Superconductivity, Condensed Matter - Materials Science
Abstract

We investigate intrinsic superconducting diode effect in the unconventional superconducting state of $d$-wave altermagnets. We find large diode efficiencies in the wide-reaching finite-momentum pairing regimes of the phase diagram. Remarkably, even perfect diode efficiency of 100% can be obtained in the presence of an external magnetic field. We attribute the largest efficiencies to competition between multiple zero-momentum (BCS) and finite-momentum superconducting states, which is connected to a topological nodal-to-nodeless transition in altermagnets with magnetic field, making our results applicable to a wide range of altermagnets., Comment: 6 pages, 3 figures

Published
2024

7. Constraints on superconducting pairing in altermagnets

Author

Chakraborty, Debmalya and Black-Schaffer, Annica M.

Subjects
Condensed Matter - Superconductivity, Condensed Matter - Materials Science, Condensed Matter - Strongly Correlated Electrons
Abstract

Superconductivity in the recently discovered altermagnetic materials hosts large prospects for both fundamental physics and technological applications. In this work we show that a characteristic spin-sublattice locking in altermagnets puts severe constraints on possible superconducting pairing. In particular, we uncover that the most common form of superconductivity, uniform $s$-wave spin-singlet pairing is not possible to achieve in altermagnets. Considering an effective model for a $d_{x^2-y^2}$-wave altermagnet on a square lattice, we instead find that the most likely forms of spin-singlet pairing have $d_{x^2-y^2}$- or extended $s$-wave symmetry. We also find that the simplest form of equal-spin-triplet $p$-wave pairing is not allowed, but it can only exist as a mixed-spin-triplet $p$-wave state. We verify these constraints on pairing within an interaction-induced model of altermagnetism, where we also establish their validity for finite-momentum pairing. Additionally we discuss the possible pairing symmetries for odd-frequency superconducting pairing. Due to the generality of our results, they are applicable to both intrinsic superconductivity and proximity-induced superconductivity in altermagnet-superconductor hybrid junctions., Comment: 10 pages, 3 figures, 2 tables

Published
2024

8. Spectrin mediates 3D-specific matrix stress-relaxation response in neural stem cell lineage commitment.

Author

Qiao, Eric, Baek, Jieung, Fulmore, Camille, Song, Myoung, Kim, Taek-Soo, Kumar, Sanjay, and Schaffer, David

Subjects
Spectrin, Neural Stem Cells, Extracellular Matrix, Cell Lineage, Animals, Mice, Cell Differentiation, Mechanotransduction, Cellular, Early Growth Response Protein 1, Neurogenesis, Actin Cytoskeleton, Stress, Mechanical, Humans, Cell Culture Techniques
Abstract

While extracellular matrix (ECM) stress relaxation is increasingly appreciated to regulate stem cell fate commitment and other behaviors, much remains unknown about how cells process stress-relaxation cues in tissue-like three-dimensional (3D) geometries versus traditional 2D cell culture. Here, we develop an oligonucleotide-crosslinked hyaluronic acid-based ECM platform with tunable stress relaxation properties capable of use in either 2D or 3D. Strikingly, stress relaxation favors neural stem cell (NSC) neurogenesis in 3D but suppresses it in 2D. RNA sequencing and functional studies implicate the membrane-associated protein spectrin as a key 3D-specific transducer of stress-relaxation cues. Confining stress drives spectrins recruitment to the F-actin cytoskeleton, where it mechanically reinforces the cortex and potentiates mechanotransductive signaling. Increased spectrin expression is also accompanied by increased expression of the transcription factor EGR1, which we previously showed mediates NSC stiffness-dependent lineage commitment in 3D. Our work highlights spectrin as an important molecular sensor and transducer of 3D stress-relaxation cues.

Published
2024

9. Mapping the Multiscale Proteomic Organization of Cellular and Disease Phenotypes.

Author

Cesnik, Anthony, Schaffer, Leah, Gaur, Ishan, Jain, Mayank, Ideker, Trey, and Lundberg, Emma

Subjects
integration, interactomics, machine learning, multiscale, proteomics, spatial, Humans, Proteomics, Phenotype
Abstract

While the primary sequences of human proteins have been cataloged for over a decade, determining how these are organized into a dynamic collection of multiprotein assemblies, with structures and functions spanning biological scales, is an ongoing venture. Systematic and data-driven analyses of these higher-order structures are emerging, facilitating the discovery and understanding of cellular phenotypes. At present, knowledge of protein localization and function has been primarily derived from manual annotation and curation in resources such as the Gene Ontology, which are biased toward richly annotated genes in the literature. Here, we envision a future powered by data-driven mapping of protein assemblies. These maps can capture and decode cellular functions through the integration of protein expression, localization, and interaction data across length scales and timescales. In this review, we focus on progress toward constructing integrated cell maps that accelerate the life sciences and translational research.

Published
2024

10. A study of animal action segmentation algorithms across supervised, unsupervised, and semi-supervised learning paradigms

Author

Blau, Ari, Schaffer, Evan S, Mishra, Neeli, Miska, Nathaniel J, Laboratory, The International Brain, Paninski, Liam, and Whiteway, Matthew R

Subjects
Computer Science - Computer Vision and Pattern Recognition, Quantitative Biology - Quantitative Methods
Abstract

Action segmentation of behavioral videos is the process of labeling each frame as belonging to one or more discrete classes, and is a crucial component of many studies that investigate animal behavior. A wide range of algorithms exist to automatically parse discrete animal behavior, encompassing supervised, unsupervised, and semi-supervised learning paradigms. These algorithms -- which include tree-based models, deep neural networks, and graphical models -- differ widely in their structure and assumptions on the data. Using four datasets spanning multiple species -- fly, mouse, and human -- we systematically study how the outputs of these various algorithms align with manually annotated behaviors of interest. Along the way, we introduce a semi-supervised action segmentation model that bridges the gap between supervised deep neural networks and unsupervised graphical models. We find that fully supervised temporal convolutional networks with the addition of temporal information in the observations perform the best on our supervised metrics across all datasets., Comment: 33 pages, 15 figures

Published
2024

11. MIDAS-QR with 2-Dimensional Structure

Author

Szendrei, Tibor, Bhattacharjee, Arnab, and Schaffer, Mark E.

Subjects
Economics - Econometrics
Abstract

Mixed frequency data has been shown to improve the performance of growth-at-risk models in the literature. Most of the research has focused on imposing structure on the high-frequency lags when estimating MIDAS-QR models akin to what is done in mean models. However, only imposing structure on the lag-dimension can potentially induce quantile variation that would otherwise not be there. In this paper we extend the framework by introducing structure on both the lag dimension and the quantile dimension. In this way we are able to shrink unnecessary quantile variation in the high-frequency variables. This leads to more gradual lag profiles in both dimensions compared to the MIDAS-QR and UMIDAS-QR. We show that this proposed method leads to further gains in nowcasting and forecasting on a pseudo-out-of-sample exercise on US data.

Published
2024

12. On the Preservation of Input/Output Directed Graph Informativeness under Crossover

Author

Pape, Andreas Duus, Schaffer, J. David, Sayama, Hiroki, and Zosh, Christopher

Subjects
Computer Science - Social and Information Networks
Abstract

There is a broad class of networks which connect inputs to outputs. We provide a strong theoretical foundation for crossover across this class and connect it to informativeness, a measure of the connectedness of inputs to outputs. We define Input/Output Directed Graphs (or IOD Graphs) as graphs with nodes $N$ and directed edges $E$, where $N$ contains (a) a set of "input nodes" $I \subset N$, where each $i \in I$ has no incoming edges and any number of outgoing edges, and (b) a set of "output nodes" $O \subset N$, where each $o \in O$ has no outgoing edges and any number of incoming edges, and $I\cap O = \emptyset$. We define informativeness, which involves the connections via directed paths from the input nodes to the output nodes: A partially informative IOD Graph has at least one path from an input to an output, a very informative IOD Graph has a path from every input to some output, and a fully informative IOD Graph has a path from every input to every output. A perceptron is an example of an IOD Graph. If it has non-zero weights and any number of layers, it is fully informative. As links are removed (assigned zero weight), the perceptron might become very, partially, or not informative. We define a crossover operation on IOD Graphs in which we find subgraphs with matching sets of forward and backward directed links to "swap." With this operation, IOD Graphs can be subject to evolutionary computation methods. We show that fully informative parents may yield a non-informative child. We also show that under conditions of contiguousness and the no dangling nodes condition, crossover compatible, partially informative parents yield partially informative children, and very informative input parents with partially informative output parents yield very informative children. However, even under these conditions, full informativeness may not be retained.

Published
2024

13. Enhanced quantum metric due to vacancies in graphene

Author

Marsal, Quentin and Black-Schaffer, Annica M.

Subjects
Condensed Matter - Mesoscale and Nanoscale Physics, Condensed Matter - Disordered Systems and Neural Networks, Condensed Matter - Superconductivity
Abstract

Random vacancies in a graphene monolayer induce defect states that are known to form a narrow impurity band centered around zero energy at half-filling. We use a space-resolved formulation of the quantum metric and establish a strong enhancement of the electronic correlations in this impurity band. The enhancement is primarily due to strong correlations between pairs of vacancies situated on different sublattices at anomalously large spatial distances. We trace the strong enhancement to both the multifractal vacancy wave functions, which ties the system exactly at the Anderson insulator transition for all defect concentrations, and preserving the chiral symmetry., Comment: 6 pages, 3 figures

Published
2024
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14. Topological superconductivity in Fibonacci quasicrystals

Author

Kobiałka, Aksel, Awoga, Oladunjoye A., Leijnse, Martin, Domański, Tadeusz, Holmvall, Patric, and Black-Schaffer, Annica M.

Subjects
Condensed Matter - Mesoscale and Nanoscale Physics, Condensed Matter - Superconductivity
Abstract

We investigate the properties of a Fibonacci quasicrystal (QC) arrangement of a one-dimensional topological superconductor, such as a magnetic atom chain deposited on a superconducting surface. We uncover a general mutually exclusive competition between the QC properties and the topological superconducting phase with Majorana bound states (MBS): there are no MBS inside the QC gaps and the MBS never behaves as QC subgap states, and likewise, no critical, or winding, QC subgap states exist inside the topological superconducting gaps. Surprisingly, despite this competition, we find that the QC is still highly beneficial for realizing topological superconductivity with MBS. It both leads to additional large nontrivial regions with MBS in parameter space, that are topologically trivial in crystalline systems, and increases the topological gap protecting the MBS. We also find that shorter approximants of the Fibonacci QC display the largest benefits. As a consequence, our results promote QCs, and especially their short approximants, as an appealing platform for improved experimental possibilities to realize MBS as well as generally highlights the fundamental interplay between different topologies., Comment: 20 pages, 11 figures

Published
2024

15. Josephson effect in a Fibonacci quasicrystal

Author

Sandberg, Anna, Awoga, Oladunjoye A., Black-Schaffer, Annica M., and Holmvall, Patric

Subjects
Condensed Matter - Superconductivity
Abstract

Quasiperiodicity has recently been proposed to enhance superconductivity and its proximity effect. At the same time, there has been significant experimental progress in the fabrication of quasiperiodic structures, also in reduced dimensions. Motivated by these developments, we use microscopic tight-binding theory to investigate the DC Josephson effect through a ballistic Fibonacci chain attached to two superconducting leads. The Fibonacci chain is one of the most studied examples of quasicrystals, hosting a rich multifractal spectrum, containing topological gaps with different winding numbers. We study how the Andreev bound states (ABS), current-phase relation, and the critical current depend on the quasiperiodic degrees of freedom, from short to long junctions. While the current-phase relation shows a traditional $2\pi$ sinusoidal or sawtooth profile, we find that the ABS obtain quasiperiodic oscillations and that the Andreev reflection is qualitatively altered, leading to quasiperiodic oscillations in the critical current as a function of junction length. Surprisingly, despite earlier proposals of quasiperiodicity enhancing superconductivity compared to crystalline junctions, we do not in general find that it enhances the critical current. However, we find significant current enhancement for reduced interface transparency due to the modified Andreev reflection. Furthermore, by varying the chemical potential, e.g. by an applied gate voltage, we find a fractal oscillation between superconductor-normal metal-superconductor (SNS) and superconductor-insulator-superconductor (SIS) behavior. Finally, we show that the winding of the subgap states leads to an equivalent winding in the critical current, such that the winding numbers, and thus the topological invariant, can be determined., Comment: 24 pages, 20 figures

Published
2024
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16. Transcriptome-wide association analysis identifies candidate susceptibility genes for prostate-specific antigen levels in men without prostate cancer.

Author

Chen, Dorothy, Dong, Ruocheng, Kachuri, Linda, Hoffmann, Thomas, Jiang, Yu, Berndt, Sonja, Shelley, John, Schaffer, Kerry, Machiela, Mitchell, Freedman, Neal, Huang, Wen-Yi, Li, Shengchao, Lilja, Hans, Justice, Amy, Madduri, Ravi, Rodriguez, Alex, Van Den Eeden, Stephen, Chanock, Stephen, Haiman, Christopher, Conti, David, Klein, Robert, Mosley, Jonathan, Witte, John, and Graff, Rebecca

Subjects
gene expression, genetics, prostate cancer, prostate-specific antigen, screening, transcriptome-wide association study, Humans, Male, Prostate-Specific Antigen, Genome-Wide Association Study, Prostatic Neoplasms, Genetic Predisposition to Disease, Transcriptome, Gene Expression Profiling, Polymorphism, Single Nucleotide
Abstract

Deciphering the genetic basis of prostate-specific antigen (PSA) levels may improve their utility for prostate cancer (PCa) screening. Using genome-wide association study (GWAS) summary statistics from 95,768 PCa-free men, we conducted a transcriptome-wide association study (TWAS) to examine impacts of genetically predicted gene expression on PSA. Analyses identified 41 statistically significant (p 0.5: CCNA2 and HIST1H2BN. Six of the 20 identified genes are not known to impact PCa risk. Fine-mapping based on whole blood and prostate tissue revealed five protein-coding genes with evidence of causal relationships with PSA levels. Of these five genes, four exhibited evidence of colocalization and one was conditionally independent of previous GWAS findings. These results yield hypotheses that should be further explored to improve understanding of genetic factors underlying PSA levels.

Published
2024

17. Fused LASSO as Non-Crossing Quantile Regression

Author

Szendrei, Tibor, Bhattacharjee, Arnab, and Schaffer, Mark E.

Subjects
Economics - Econometrics
Abstract

Quantile crossing has been an ever-present thorn in the side of quantile regression. This has spurred research into obtaining densities and coefficients that obey the quantile monotonicity property. While important contributions, these papers do not provide insight into how exactly these constraints influence the estimated coefficients. This paper extends non-crossing constraints and shows that by varying a single hyperparameter ($\alpha$) one can obtain commonly used quantile estimators. Namely, we obtain the quantile regression estimator of Koenker and Bassett (1978) when $\alpha=0$, the non crossing quantile regression estimator of Bondell et al. (2010) when $\alpha=1$, and the composite quantile regression estimator of Koenker (1984) and Zou and Yuan (2008) when $\alpha\rightarrow\infty$. As such, we show that non-crossing constraints are simply a special type of fused-shrinkage., Comment: 37 pages, 16 figures, 4 tables, 7348 words

Published
2024

18. Stretchable Pneumatic Sleeve for Adaptable, Low-Displacement Anchoring in Exosuits

Author

Schaffer, Katalin, Fallon, Ultan, and Coad, Margaret M.

Subjects
Computer Science - Robotics
Abstract

Despite recent advances in wearable technology, interfacing movement assistance devices with the human body remains challenging. We present a stretchable pneumatic sleeve that can anchor an exosuit actuator to the human arm with a low displacement of the actuator's mounting point relative to the body during operation. Our sleeve has the potential to serve as an adaptable attachment mechanism for exosuits, since it can adjust its pressure to only compress the arm as much as needed to transmit the applied exosuit forces without a large displacement. We discuss the design of our sleeve, which is made of fabric pneumatic artificial muscle (fPAM) actuators formed into bands. We quantify the performance of nine fPAM bands of various lengths and widths, as well as three sleeves (an fPAM sleeve, a series pouch motor (SPM) sleeve as in previous literature, and an off the shelf hook and loop sleeve), through the measurement of the compressing force as a function of pressure and the localized pulling force that can be resisted as a function of both pressure and mounting point displacement. Our experimental results show that fPAM bands with smaller resting length and/or larger resting width produce higher forces. Also, when inflated, an fPAM sleeve that has equivalent dimensions to the SPM sleeve while fully stretched has similar performance to the SPM sleeve. While inflated, both pneumatic sleeves decrease the mounting point displacement compared to the hook and loop sleeve. Compared to the SPM sleeve, the fPAM sleeve is able to hold larger internal pressure before bursting, increasing its possible force range. Also, when not inflated, the fPAM sleeve resists the pulling force well, indicating its ability to provide anchoring when not actuated., Comment: 7th IEEE-RAS International Conference on Soft Robotics (RoboSoft 2024) Supplementary video: https://youtu.be/9orz3NzMXT4?si=ZCjG72tS_2rSeFhJ

Published
2024

19. First Constraints on the Epoch of Reionization Using the non-Gaussianity of the Kinematic Sunyaev-Zel{'}dovich Effect from the South Pole Telescope and {\it Herschel}-SPIRE Observations

Author

Raghunathan, S., Ade, P. A. R., Anderson, A. J., Ansarinejad, B., Archipley, M., Austermann, J. E., Balkenhol, L., Beall, J. A., Benabed, K., Bender, A. N., Benson, B. A., Bianchini, F., Bleem, L. E., Bock, J., Bouchet, F. R., Bryant, L., Camphuis, E., Carlstrom, J. E., Cecil, T. W., Chang, C. L., Chaubal, P., Chiang, H. C., Chichura, P. M., Chou, T. -L., Citron, R., Coerver, A., Crawford, T. M., Crites, A. T., Cukierman, A., Daley, C., Dibert, K. R., Dobbs, M. A., Doussot, A., Dutcher, D., Everett, W., Feng, C., Ferguson, K. R., Fichman, K., Foster, A., Galli, S., Gallicchio, J., Gambrel, A. E., Gardner, R. W., Ge, F., George, E. M., Goeckner-Wald, N., Gualtieri, R., Guidi, F., Guns, S., Gupta, N., de Haan, T., Halverson, N. W., Hivon, E., Holder, G. P., Holzapfel, W. L., Hood, J. C., Hrubes, J. D., Hryciuk, A., Huang, N., Hubmayr, J., Irwin, K. D., Kéruzoré, F., Khalife, A. R., Knox, L., Korman, M., Kornoelje, K., Kuo, C. -L., Lee, A. T., Levy, K., Li, D., Lowitz, A. E., Lu, C., Maniyar, A., Martsen, E. S., McMahon, J. J., Menanteau, F., Millea, M., Montgomery, J., Moran, C. Corbett, Nakato, Y., Natoli, T., Nibarger, J. P., Noble, G. I., Novosad, V., Omori, Y., Padin, S., Pan, Z., Paschos, P., Patil, S., Phadke, K. A., Prabhu, K., Pryke, C., Quan, W., Rahimi, M., Rahlin, A., Reichardt, C. L., Rouble, M., Ruhl, J. E., Saliwanchik, B. R., Schaffer, K. K., Schiappucci, E., Sievers, C., Smecher, G., Sobrin, J. A., Stark, A. A., Stephen, J., Suzuki, A., Tandoi, C., Thompson, K. L., Thorne, B., Trendafilova, C., Tucker, C., Umilta, C., Veach, T., Vieira, J. D., Viero, M. P., Wan, Y., Wang, G., Whitehorn, N., Wu, W. L. K., Yefremenko, V., Young, M. R., Zebrowski, J. A., and Zemcov, M.

Subjects
Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract

We report results from an analysis aimed at detecting the trispectrum of the kinematic Sunyaev-Zel{'}dovich (kSZ) effect by combining data from the South Pole Telescope (SPT) and {\it Herschel}-SPIRE experiments over a 100 ${\rm deg}^{2}$ field. The SPT observations combine data from the previous and current surveys, namely SPTpol and SPT-3G, to achieve depths of 4.5, 3, and 16 $\mu {\rm K-arcmin}$ in bands centered at 95, 150, and 220 GHz. For SPIRE, we include data from the 600 and 857 GHz bands. We reconstruct the velocity-induced large-scale correlation of the small-scale kSZ signal with a quadratic estimator that uses two cosmic microwave background (CMB) temperature maps, constructed by optimally combining data from all the frequency bands. We reject the null hypothesis of a zero trispectrum at $10.3\sigma$ level. However, the measured trispectrum contains contributions from both the kSZ and other undesired components, such as CMB lensing and astrophysical foregrounds, with kSZ being sub-dominant. We use the \textsc{Agora} simulations to estimate the expected signal from CMB lensing and astrophysical foregrounds. After accounting for the contributions from CMB lensing and foreground signals, we do not detect an excess kSZ-only trispectrum and use this non-detection to set constraints on reionization. By applying a prior based on observations of the Gunn-Peterson trough, we obtain an upper limit on the duration of reionization of $\Delta z_{\rm re, 50} < 4.5$ (95\% C.L). We find these constraints are fairly robust to foregrounds assumptions. This trispectrum measurement is independent of, but consistent with, {\it Planck}'s optical depth measurement. This result is the first constraint on the epoch of reionization using the non-Gaussian nature of the kSZ signal., Comment: 15 pages, 5 figures (3 in main text and 2 in Appendix); Accepted for publication in PRL; Some texts have been moved to Appendix; Minor change in Fig. 2 to include nomalization; Data products and plotting scripts can be downloaded from https://github.com/sriniraghunathan/kSZ_4pt_SPT_SPIRE

Published
2024

20. Scalable Multispecies Ion Transport in a Grid Based Surface-Electrode Trap

Author

Delaney, Robert D., Sletten, Lucas R., Cich, Matthew J., Estey, Brian, Fabrikant, Maya, Hayes, David, Hoffman, Ian M., Hostetter, James, Langer, Christopher, Moses, Steven A., Perry, Abigail R., Peterson, Timothy A., Schaffer, Andrew, Volin, Curtis, Vittorini, Grahame, and Burton, William Cody

Subjects
Quantum Physics, Physics - Atomic Physics
Abstract

We present a scalable method for the control of ion crystals in a grid-based surface electrode Paul trap and characterize it in the context of transport operations that sort and reorder multispecies crystals. By combining co-wiring of control electrodes at translationally symmetric locations in each grid site with the site-wise ability to exchange the voltages applied to two special electrodes gated by a binary input, site-dependent operations are achieved using only a fixed number of analog voltage signals and a single digital input per site. In two separate experimental systems containing nominally identical grid traps, one using $^{171}\mathrm{Yb}^{+}$-$^{138}\mathrm{Ba}^{+}$ crystals and the other $^{137}\mathrm{Ba}^{+}$-$^{88}\mathrm{Sr}^{+}$, we demonstrate this method by characterizing the conditional intra-site crystal reorder and the conditional exchange of ions between adjacent sites on the grid. Averaged across a multi-site region of interest, we measure sub-quanta motional excitation in the axial in-phase and out-of-phase modes of the crystals following these operations at exchange rates of 2.5 kHz. These conditional transport operations display all necessary components for sorting qubits, and could be extended to implement other conditional operations involving control fields such as gates, initialization, and measurement., Comment: 11 pages, 7 figures

Published
2024

21. Majorana zero-modes in a dissipative Rashba nanowire

Author

Ghosh, Arnob Kumar and Black-Schaffer, Annica M.

Subjects
Condensed Matter - Mesoscale and Nanoscale Physics, Condensed Matter - Superconductivity, Quantum Physics
Abstract

Condensed matter systems are continuously subjected to dissipation, which often has adverse effects on quantum phenomena. We focus on the impact of dissipation on a superconducting Rashba nanowire. We reveal that the system can still host Majorana zero-modes (MZMs) with a finite lifetime in the presence of dissipation. Most interestingly, dissipation can also generate two kinds of dissipative boundary states: four robust zero-modes (RZMs) and two MZMs, in the regime where the non-dissipative system is topologically trivial. The MZMs appear via bulk gap closing and are topologically characterized by a winding number. The RZMs are not associated with any bulk states and possess no winding number, but their emergence is instead tied to exceptional points. Further, we confirm the stability of the dissipation-induced RZMs and MZMs in the presence of random disorder. Our study paves the way for both realizing and stabilizing MZMs in an experimental setup, driven by dissipation.

Published
2024
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22. Mixed higher-order topology and nodal and nodeless flat band topological phases in a superconducting multiorbital model

Author

Arouca, Rodrigo, Nag, Tanay, and Black-Schaffer, Annica M.

Subjects
Condensed Matter - Superconductivity, Condensed Matter - Mesoscale and Nanoscale Physics, Quantum Physics
Abstract

We investigate the topological phases that appear in an orbital version of the Benalcazar-Bernevig-Hughes (BBH) model in the presence of conventional spin-singlet $s$-wave superconductivity and with the possibility of tuning an in-plane magnetic field. We chart out the phase diagram by considering different boundary conditions, with the topology of the individual phases further examined by considering both the Wannier and entanglement spectra, as well as the Majorana polarization. For weak to moderate values of magnetic field and superconducting pairing amplitude, we find a second-order topological superconductor phase with eight zero-energy corner modes. Further increasing field or pairing, half of the corner states can be turned into zero-energy edge-localized modes, thus forming a type of hybrid-order phase. Then, we find two different putative first-order topological phases, a nodal and a nodeless phase, both with zero-energy flat bands localized along mirror-symmetric open edges. For the nodal phase, the flat bands are localized between the nodes in reciprocal space, while in the nodeless phase, with its a full bulk gap, the zero-energy boundary flat band spans the whole Brillouin zone., Comment: 14+3 pages, 14 figures

Published
2024
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26. Competing magnetic states on the surface of multilayer ABC-stacked graphene

Author

Braz, Lauro B., Nag, Tanay, and Black-Schaffer, Annica M.

Subjects
Condensed Matter - Mesoscale and Nanoscale Physics, Condensed Matter - Strongly Correlated Electrons
Abstract

We study interaction-mediated magnetism on the surface of ABC-multilayer graphene driven by its zero-energy topological flat bands. Using the random-phase approximation we treat onsite Hubbard repulsion and find multiple competing magnetic states, due to both intra- and inter-valley scattering, with the latter causing an enlarged magnetic unit cell. At half-filling and when the Hubbard repulsion is weak, we observe two different ferromagnetic orders. Once the Hubbard repulsion becomes more realistic, new ferrimagnetic orders arise with distinct incommensurate intra- or inter-valley scattering vectors depending on interaction strength and doping, leading to a multitude of competing magnetic states., Comment: Main text: 7 pages and 4 figures, Supplementary Material: 11 pages and 8 figures

Published
2024

27. SPT Clusters with DES and HST Weak Lensing. II. Cosmological Constraints from the Abundance of Massive Halos

Author

Bocquet, S., Grandis, S., Bleem, L. E., Klein, M., Mohr, J. J., Schrabback, T., Abbott, T. M. C., Ade, P. A. R., Aguena, M., Alarcon, A., Allam, S., Allen, S. W., Alves, O., Amon, A., Anderson, A. J., Annis, J., Ansarinejad, B., Austermann, J. E., Avila, S., Bacon, D., Bayliss, M., Beall, J. A., Bechtol, K., Becker, M. R., Bender, A. N., Benson, B. A., Bernstein, G. M., Bhargava, S., Bianchini, F., Brodwin, M., Brooks, D., Bryant, L., Campos, A., Canning, R. E. A., Carlstrom, J. E., Rosell, A. Carnero, Kind, M. Carrasco, Carretero, J., Castander, F. J., Cawthon, R., Chang, C. L., Chang, C., Chaubal, P., Chen, R., Chiang, H. C., Choi, A., Chou, T-L., Citron, R., Moran, C. Corbett, Cordero, J., Costanzi, M., Crawford, T. M., Crites, A. T., da Costa, L. N., Pereira, M. E. S., Davis, C., Davis, T. M., DeRose, J., Desai, S., de Haan, T., Diehl, H. T., Dobbs, M. A., Dodelson, S., Doux, C., Drlica-Wagner, A., Eckert, K., Elvin-Poole, J., Everett, S., Everett, W., Ferrero, I., Ferté, A., Flores, A. M., Frieman, J., Gallicchio, J., García-Bellido, J., Gatti, M., George, E. M., Giannini, G., Gladders, M. D., Gruen, D., Gruendl, R. A., Gupta, N., Gutierrez, G., Halverson, N. W., Harrison, I., Hartley, W. G., Herner, K., Hinton, S. R., Holder, G. P., Hollowood, D. L., Holzapfel, W. L., Honscheid, K., Hrubes, J. D., Huang, N., Hubmayr, J., Huff, E. M., Huterer, D., Irwin, K. D., James, D. J., Jarvis, M., Khullar, G., Kim, K., Knox, L., Kraft, R., Krause, E., Kuehn, K., Kuropatkin, N., Kéruzoré, F., Lahav, O., Lee, A. T., Leget, P. -F., Li, D., Lin, H., Lowitz, A., MacCrann, N., Mahler, G., Mantz, A., Marshall, J. L., McCullough, J., McDonald, M., McMahon, J. J., Mena-Fernández, J., Menanteau, F., Meyer, S. S., Miquel, R., Montgomery, J., Myles, J., Natoli, T., Navarro-Alsina, A., Nibarger, J. P., Noble, G. I., Novosad, V., Ogando, R. L. C., Omori, Y., Padin, S., Pandey, S., Paschos, P., Patil, S., Pieres, A., Malagón, A. A. Plazas, Porredon, A., Prat, J., Pryke, C., Raveri, M., Reichardt, C. L., Roberson, J., Rollins, R. P., Romero, C., Roodman, A., Ruhl, J. E., Rykoff, E. S., Saliwanchik, B. R., Salvati, L., Sánchez, C., Sanchez, E., Cid, D. Sanchez, Saro, A., Schaffer, K. K., Secco, L. F., Sevilla-Noarbe, I., Sharon, K., Sheldon, E., Shin, T., Sievers, C., Smecher, G., Smith, M., Somboonpanyakul, T., Sommer, M., Stalder, B., Stark, A. A., Stephen, J., Strazzullo, V., Suchyta, E., Tarle, G., To, C., Troxel, M. A., Tucker, C., Tutusaus, I., Varga, T. N., Veach, T., Vieira, J. D., Vikhlinin, A., von der Linden, A., Wang, G., Weaverdyck, N., Weller, J., Whitehorn, N., Wu, W. L. K., Yanny, B., Yefremenko, V., Yin, B., Young, M., Zebrowski, J. A., Zhang, Y., Zohren, H., and Zuntz, J.

Subjects
Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract

We present cosmological constraints from the abundance of galaxy clusters selected via the thermal Sunyaev-Zel'dovich (SZ) effect in South Pole Telescope (SPT) data with a simultaneous mass calibration using weak gravitational lensing data from the Dark Energy Survey (DES) and the Hubble Space Telescope (HST). The cluster sample is constructed from the combined SPT-SZ, SPTpol ECS, and SPTpol 500d surveys, and comprises 1,005 confirmed clusters in the redshift range $0.25-1.78$ over a total sky area of 5,200 deg$^2$. We use DES Year 3 weak-lensing data for 688 clusters with redshifts $z<0.95$ and HST weak-lensing data for 39 clusters with $0.6

Published
2024

28. Model Averaging and Double Machine Learning

Author

Ahrens, Achim, Hansen, Christian B., Schaffer, Mark E., and Wiemann, Thomas

Subjects
Economics - Econometrics, Statistics - Machine Learning
Abstract

This paper discusses pairing double/debiased machine learning (DDML) with stacking, a model averaging method for combining multiple candidate learners, to estimate structural parameters. In addition to conventional stacking, we consider two stacking variants available for DDML: short-stacking exploits the cross-fitting step of DDML to substantially reduce the computational burden and pooled stacking enforces common stacking weights over cross-fitting folds. Using calibrated simulation studies and two applications estimating gender gaps in citations and wages, we show that DDML with stacking is more robust to partially unknown functional forms than common alternative approaches based on single pre-selected learners. We provide Stata and R software implementing our proposals.

Published
2024

29. Significant variation in computed tomography imaging of pregnant trauma patients: a retrospective multicenter study.

Author

Tay-Lasso, Erika, Zezoff, Danielle, Fierro, Nicole, Dhillon, Navpreet, Ley, Eric, Smith, Jennifer, Burruss, Sigrid, Dahan, Alden, Johnson, Arianne, Ganske, William, Biffl, Walter, Bayat, Dunya, Castelo, Matthew, Wintz, Diane, Schaffer, Kathryn, Zheng, Dennis, Tillou, Areti, Coimbra, Raul, Tuli, Rahul, Santorelli, Jarrett, Emigh, Brent, Schellenberg, Morgan, Inaba, Kenji, Duncan, Thomas, Diaz, Graal, Kirby, Katharine, Nahmias, Jeffry, and Lucas, Alexa

Subjects
Computed tomography, Fetus radiation, Imaging, Pregnancy, Pregnant trauma, Adult, Female, Pregnancy, Humans, Adolescent, Retrospective Studies, Tomography, X-Ray Computed, Radiation Exposure, Thorax, Trauma Centers, Wounds, Nonpenetrating
Abstract

PURPOSE: Following motor vehicle collisions (MVCs), patients often undergo extensive computed tomography (CT) imaging. However, pregnant trauma patients (PTPs) represent a unique population where the risk of fetal radiation may supersede the benefits of liberal CT imaging. This study sought to evaluate imaging practices for PTPs, hypothesizing variability in CT imaging among trauma centers. If demonstrated, this might suggest the need to develop specific guidelines to standardize practice. METHODS: A multicenter retrospective study (2016-2021) was performed at 12 Level-I/II trauma centers. Adult (≥18 years old) PTPs involved in MVCs were included, with no patients excluded. The primary outcome was the frequency of CT. Chi-square tests were used to compare categorical variables, and ANOVA was used to compare the means of normally distributed continuous variables. RESULTS: A total of 729 PTPs sustained MVCs (73% at high speed of ≥ 25 miles per hour). Most patients were mildly injured but a small variation of injury severity score (range 1.1-4.6, p < 0.001) among centers was observed. There was a variation of imaging rates for CT head (range 11.8-62.5%, p < 0.001), cervical spine (11.8-75%, p < 0.001), chest (4.4-50.2%, p < 0.001), and abdomen/pelvis (0-57.3%, p < 0.001). In high-speed MVCs, there was variation for CT head (12.5-64.3%, p < 0.001), cervical spine (16.7-75%, p < 0.001), chest (5.9-83.3%, p < 0.001), and abdomen/pelvis (0-60%, p < 0.001). There was no difference in mortality (0-2.9%, p =0.19). CONCLUSION: Significant variability of CT imaging in PTPs after MVCs was demonstrated across 12 trauma centers, supporting the need for standardization of CT imaging for PTPs to reduce unnecessary radiation exposure while ensuring optimal injury identification is achieved.

Published
2024

30. Galaxy Clusters Discovered via the Thermal Sunyaev-Zel'dovich Effect in the 500-square-degree SPTpol Survey

Author

Bleem, L. E., Klein, M., Abbott, T. M. C., Ade, P. A. R., Aguena, M., Alves, O., Anderson, A. J., Andrade-Oliveira, F., Ansarinejad, B., Archipley, M., Ashby, M. L. N., Austermann, J. E., Bacon, D., Beall, J. A., Bender, A. N., Benson, B. A., Bianchini, F., Bocquet, S., Brooks, D., Burke, D. L., Calzadilla, M., Carlstrom, J. E., Rosell, A. Carnero, Carretero, J., Chang, C. L., Chaubal, P., Chiang, H. C., Chou, T-L., Citron, R., Moran, C. Corbett, Costanzi, M., Crawford, T. M., Crites, A. T., da Costa, L. N., de Haan, T., De Vicente, J., Desai, S., Dobbs, M. A., Doel, P., Everett, W., Ferrero, I., Flaugher, B., Floyd, B., Friedel, D., Frieman, J., Gallicchio, J., Garc'ia-Bellido, J., Gatti, M., George, E. M., Giannini, G., Grandis, S., Gruen, D., Gruendl, R. A., Gupta, N., Gutierrez, G., Halverson, N. W., Hinton, S. R., Holder, G. P., Hollowood, D. L., Holzapfel, W. L., Honscheid, K., Hrubes, J. D., Huang, N., Hubmayr, J., Irwin, K. D., Mena-Fernández, J., James, D. J., Kéruzoré, F., Knox, L., Kuehn, K., Lahav, O., Lee, A. T., Lee, S., Li, D., Lowitz, A., Marshal, J. L., McDonald, M., McMahon, J. J., Menanteau, F., Meyer, S. S., Miquel, R., Mohr, J. J., Montgomery, J., Myles, J., Natoli, T., Nibarger, J. P., Noble, G. I., Novosad, V., Ogando, R. L. C., Padin, S., Patil, S., Pereira, M. E. S., Pieres, A., Malag'on, A. A. Plazas, Pryke, C., Reichardt, C. L., Rodr'iguez-Monroy, M., Romer, A. K., Ruhl, J. E., Saliwanchik, B. R., Salvati, L., Sanchez, E., Saro, A., Schaffer, K. K., Schrabback, T., Sevilla-Noarbe, I., Sievers, C., Smecher, G., Smith, M., Somboonpanyakul, T., Stalder, B., Stark, A. A., Suchyta, E., Swanson, M. E. C., Tarle, G., To, C., Tucker, C., Veach, T., Vieira, J. D., Vincenzi, M., Wang, G., Weller, J., Whitehorn, N., Wiseman, P., Wu, W. L. K., Yefremenko, V., Zebrowski, J. A., and Zhang, Y.

Subjects
Astrophysics - Cosmology and Nongalactic Astrophysics, Astrophysics - Astrophysics of Galaxies
Abstract

We present a catalog of 689 galaxy cluster candidates detected at significance $\xi>4$ via their thermal Sunyaev-Zel'dovich (SZ) effect signature in 95 and 150 GHz data from the 500-square-degree SPTpol survey. We use optical and infrared data from the Dark Energy Camera and the Wide-field Infrared Survey Explorer (WISE) and \spitzer \ satellites, to confirm 544 of these candidates as clusters with $\sim94\%$ purity. The sample has an approximately redshift-independent mass threshold at redshift $z>0.25$ and spans $1.5 \times 10^{14} < M_{500c} < 9.1 \times 10^{14}$ $M_\odot/h_{70}$ \ and $0.031$. We use external radio data from the Sydney University Molonglo Sky Survey (SUMSS) to estimate contamination to the SZ signal from synchrotron sources. The contamination reduces the recovered $\xi$ by a median value of 0.032, or $\sim0.8\%$ of the $\xi=4$ threshold value, and $\sim7\%$ of candidates have a predicted contamination greater than $\Delta \xi = 1$. With the exception of a small number of systems $(<1\%)$, an analysis of clusters detected in single-frequency 95 and 150 GHz data shows no significant contamination of the SZ signal by emission from dusty or synchrotron sources. This cluster sample will be a key component in upcoming astrophysical and cosmological analyses of clusters. The SPTpol millimeter-wave maps and associated data products used to produce this sample are available at https://pole.uchicago.edu/public/data/sptpol_500d_clusters/index.html, and the NASA LAMBDA website. An interactive sky server with the SPTpol maps and Dark Energy Survey data release 2 images is also available at NCSA https://skyviewer.ncsa.illinois.edu., Comment: Matches version accepted by OJA. 19 pages + references, 14 figures, cluster candidate table provided in Appendix. Data products available at https://pole.uchicago.edu/public/data/sptpol_500d_clusters/index.html and an interactive sky server at https://skyviewer.ncsa.illinois.edu

Published
2023
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31. Advancing Aerospace Connectors: OEMs looking to optimize aircraft performance and range are turning to composites and plastics, which require specific finishing treatments

Author

Hughes, Douglas, Schaffer, Ambrose, Curran, Keaton, and Wojtaszek, Mark

Subjects
Safety regulations, Coatings industry, Plastics industry, Aerospace industry, Flying-machines, Electronic components industry, Coatings, Business, Metals, metalworking and machinery industries
Abstract

Aluminum has long been the substrate of choice for connectors in the aerospace industry based on its strength-to-weight ratio, high machinability and relatively low cost. These connectors are used in [...]

Published
2024

33. Interpretivist Interviewing

Author

Schaffer, Frederic Charles, Box-Steffensmeier, Janet M., book editor, Christenson, Dino P., book editor, and Sinclair-Chapman, Valeria, book editor

Published
2024
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35. Model matchmaking via the Solve-RD Rare Disease Models & Mechanisms Network (RDMM-Europe)

Author

Ellwanger, Kornelia, Brill, Julie A., de Boer, Elke, Efthymiou, Stephanie, Elgersma, Ype, Icmat, Marynelle, Lecoquierre, François, Lobato, Amanda G., Morleo, Manuela, Ori, Michela, Schaffer, Ashleigh E., Vitobello, Antonio, Wells, Sara, Yalcin, Binnaz, Zhai, R. Grace, Sturm, Marc, Zurek, Birte, Graessner, Holm, Bermejo-Sánchez, Eva, Evangelista, Teresinha, Hoogerbrugge, Nicoline, Nigro, Vincenzo, Schüle, Rebecca, Verloes, Alain, Brunner, Han, Campeau, Philippe M., Lasko, Paul, and Riess, Olaf

Published
2024
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38. Multi-modal Gaussian Process Variational Autoencoders for Neural and Behavioral Data

Author

Gondur, Rabia, Sikandar, Usama Bin, Schaffer, Evan, Aoi, Mikio Christian, and Keeley, Stephen L

Subjects
Computer Science - Machine Learning, Quantitative Biology - Neurons and Cognition
Abstract

Characterizing the relationship between neural population activity and behavioral data is a central goal of neuroscience. While latent variable models (LVMs) are successful in describing high-dimensional time-series data, they are typically only designed for a single type of data, making it difficult to identify structure shared across different experimental data modalities. Here, we address this shortcoming by proposing an unsupervised LVM which extracts temporally evolving shared and independent latents for distinct, simultaneously recorded experimental modalities. We do this by combining Gaussian Process Factor Analysis (GPFA), an interpretable LVM for neural spiking data with temporally smooth latent space, with Gaussian Process Variational Autoencoders (GP-VAEs), which similarly use a GP prior to characterize correlations in a latent space, but admit rich expressivity due to a deep neural network mapping to observations. We achieve interpretability in our model by partitioning latent variability into components that are either shared between or independent to each modality. We parameterize the latents of our model in the Fourier domain, and show improved latent identification using this approach over standard GP-VAE methods. We validate our model on simulated multi-modal data consisting of Poisson spike counts and MNIST images that scale and rotate smoothly over time. We show that the multi-modal GP-VAE (MM-GPVAE) is able to not only identify the shared and independent latent structure across modalities accurately, but provides good reconstructions of both images and neural rates on held-out trials. Finally, we demonstrate our framework on two real world multi-modal experimental settings: Drosophila whole-brain calcium imaging alongside tracked limb positions, and Manduca sexta spike train measurements from ten wing muscles as the animal tracks a visual stimulus.

Published
2023

39. Zero-field finite-momentum and field-induced superconductivity in altermagnets

Author

Chakraborty, Debmalya and Black-Schaffer, Annica M.

Subjects
Condensed Matter - Superconductivity, Condensed Matter - Mesoscale and Nanoscale Physics, Condensed Matter - Materials Science, Condensed Matter - Strongly Correlated Electrons
Abstract

We explore the possibilities for spin-singlet superconductivity in newly discovered altermagnets. Investigating $d$-wave altermagnets, we show that finite-momentum superconductivity can easily emerge in altermagnets even though they have no net magnetization, when the superconducting order parameter also has $d$-wave symmetry with nodes coinciding with the altermagnet nodes. Additionally, we find a rich phase diagram when both altermagnetism and an external magnetic field are considered, including superconductivity appearing at high magnetic fields from a parent zero-field normal state., Comment: New results in the Supplementary Material for a different model of altermagnetism

Published
2023

40. SPT-SZ MCMF: An extension of the SPT-SZ catalog over the DES region

Author

Klein, M., Mohr, J. J., Bocquet, S., Aguena, M., Allen, S. W., Alves, O., Ansarinejad, B., Ashby, M. L. N., Bacon, D., Bayliss, M., Benson, B. A., Bleem, L. E., Brodwin, M., Brooks, D., Bulbul, E., Burke, D. L., Canning, R. E. A., Carlstrom, J. E., Rosell, A. Carnero, Carretero, J., Chang, C. L., Conselice, C., Costanzi, M., Crites, A. T., da Costa, L. N., Pereira, M. E. S., Davis, T. M., De Vicente, J., Desai, S., de Haan, T., Dobbs, M. A., Doel, P., Ferrero, I., Flores, A. M., Frieman, J., George, E. M., Giannini, G., Gladders, M. D., Gonzalez, A. H., Grandis, S., Gruen, D., Gruendl, R. A., Gutierrez, G., Halverson, N. W., Hinton, S. R., Holder, G. P., Hollowood, D. L., Holzapfel, W. L., Honscheid, K., Hrubes, J. D., Huang, N., James, D. J., Khullar, G., Kim, K., Knox, L., Kraft, R., Kéruzoré, F., Lee, A. T., Luong-Van, D., Mahler, G., Mantz, A., Marrone, D. P., Marshall, J. L., McDonald, M., McMahon, J. J., Mena-Fernández, J., Menanteau, F., Meyer, S. S., Miquel, R., Myles, J., Padin, S., Pieres, A., Malagón, A. A. Plazas, Pryke, C., Reichardt, C. L., Reil, K., Roberson, J., Romer, A. K., Romero, C., Ruhl, J. E., Saliwanchik, B. R., Salvati, L., Sanchez, E., Saro, A., Schaffer, K. K., Schrabback, T., Schubnell, M., Sevilla-Noarbe, I., Sharon, K., Shirokoff, E., Smith, M., Somboonpanyakul, T., Stalder, B., Stanford, S. A., Stark, A. A., Strazzullo, V., Suchyta, E., Swanson, M. E. C., Tarle, G., To, C., Vanderlinde, K., Vieira, J. D., von der Linden, A., Weaverdyck, N., Williamson, R., Wiseman, P., and Young, M.

Subjects
Astrophysics - Cosmology and Nongalactic Astrophysics, Astrophysics - High Energy Astrophysical Phenomena, Astrophysics - Instrumentation and Methods for Astrophysics
Abstract

We present an extension to a Sunyaev-Zel'dovich Effect (SZE) selected cluster catalog based on observations from the South Pole Telescope (SPT); this catalog extends to lower signal-to-noise than the previous SPT-SZ catalog and therefore includes lower mass clusters. Optically derived redshifts, centers, richnesses and morphological parameters together with catalog contamination and completeness statistics are extracted using the multi-component matched filter algorithm (MCMF) applied to the S/N>4 SPT-SZ candidate list and the Dark Energy Survey (DES) photometric galaxy catalog. The main catalog contains 811 sources above S/N=4, has 91% purity and is 95% complete with respect to the original SZE selection. It contains 50% more total clusters and twice as many clusters above z=0.8 in comparison to the original SPT-SZ sample. The MCMF algorithm allows us to define subsamples of the desired purity with traceable impact on catalog completeness. As an example, we provide two subsamples with S/N>4.25 and S/N>4.5 for which the sample contamination and cleaning-induced incompleteness are both as low as the expected Poisson noise for samples of their size. The subsample with S/N>4.5 has 98% purity and 96% completeness, and will be included in a combined SPT cluster and DES weak-lensing cosmological analysis. We measure the number of false detections in the SPT-SZ candidate list as function of S/N, finding that it follows that expected from assuming Gaussian noise, but with a lower amplitude compared to previous estimates from simulations., Comment: 16 pages, 17 figures, submitted to MNRAS

Published
2023

41. Enhanced chiral edge currents and orbital magnetic moment in chiral $d$-wave superconductors from mesoscopic finite-size effects

Author

Holmvall, Patric and Black-Schaffer, Annica M.

Subjects
Condensed Matter - Superconductivity
Abstract

Chiral superconductors spontaneously break time-reversal symmetry and host topologically protected edge modes, supposedly generating chiral edge currents which are typically taken as a characteristic fingerprint of chiral superconductivity. However, recent studies have shown that the total edge current in two dimensions (2D) often vanishes for all chiral superconductors except for chiral $p$-wave, especially at low temperatures, thus severely impeding potential experimental verification and characterization of these superconductors. In this work, we use quasiclassical theory of superconductivity to study mesoscopic disc-schaped chiral $d$-wave superconductors. We find that mesoscopic finite-size effects cause a dramatic enhancement of the total charge current and orbital magnetic moment (OMM), even at low temperatures. We study how these quantities scale with temperature, spontaneous Meissner screening, and system radius $\mathcal{R} \in [5,200]\xi_0$ with superconducting coherence length $\xi_0$. We find a general $1/\mathcal{R}$ scaling in the total charge current and OMM for sufficiently large systems, but this breaks down in small systems, instead producing a local maximum at $\mathcal{R} \approx 10{\text{--}}20\xi_0$ due to mesoscopic finite-size effects. These effects also cause a spontaneous charge-current reversal opposite to the chirality below $\mathcal{R} < 10\xi_0$. Our work highlights mesoscopic systems as a route to experimentally verify chiral $d$-wave superconductivity, measurable with magnetometry., Comment: 23 pages, 14 figures

Published
2023
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42. Adding Why to What? Analyses of an Everyday Explanation

Author

Terfloth, Lutz, Schaffer, Michael, Buhl, Heike M., and Schulte, Carsten

Subjects
Computer Science - Artificial Intelligence
Abstract

In XAI it is important to consider that, in contrast to explanations for professional audiences, one cannot assume common expertise when explaining for laypeople. But such explanations between humans vary greatly, making it difficult to research commonalities across explanations. We used the dual nature theory, a techno-philosophical approach, to cope with these challenges. According to it, one can explain, for example, an XAI's decision by addressing its dual nature: by focusing on the Architecture (e.g., the logic of its algorithms) or the Relevance (e.g., the severity of a decision, the implications of a recommendation). We investigated 20 game explanations using the theory as an analytical framework. We elaborate how we used the theory to quickly structure and compare explanations of technological artifacts. We supplemented results from analyzing the explanation contents with results from a video recall to explore how explainers justified their explanation. We found that explainers were focusing on the physical aspects of the game first (Architecture) and only later on aspects of the Relevance. Reasoning in the video recalls indicated that EX regarded the focus on the Architecture as important for structuring the explanation initially by explaining the basic components before focusing on more complex, intangible aspects. Shifting between addressing the two sides was justified by explanation goals, emerging misunderstandings, and the knowledge needs of the explainee. We discovered several commonalities that inspire future research questions which, if further generalizable, provide first ideas for the construction of synthetic explanations., Comment: Paper accepted and presented at XAI World Conference 2023, Lisboa

Published
2023
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43. ATLAS in-file metadata and multi-threaded processing

Author

Berghaus Frank, Krasznahorkay Attila, Martin Tim, Novak Tadej, Nowak Marcin, Schaffer A.C., Tsulaia Vakho, and van Gemmeren Peter

Subjects
Physics, QC1-999
Abstract

Processing and scientific analysis of the data taken by the ATLAS experiment requires reliable information describing the event data recorded by the detector or generated in software. ATLAS event processing applications store such descriptive metadata information in the output data files along with the event information. To better leverage the available computing resources during LHC Run3 the ATLAS experiment has migrated its data processing and analysis software to a multi-threaded framework: AthenaMT. Therefore in-file metadata must support concurrent event processing, especially around input file boundaries. The in-file metadata handling software was originally designed for serial event processing. It grew into a rather complex system over the many years of ATLAS operation. To migrate this system to the multi-threaded environment it was necessary to adopt several pragmatic solutions, mainly because of the shortage of available person-power to work on this project in early phases of the AthenaMT development. In order to simplify the migration, first the redundant parts of the code were cleaned up wherever possible. Next the infrastructure was improved by removing reliance on constructs that are problematic during multi-threaded processing. Finally, the remaining software infrastructure was redesigned for thread safety.

Published
2021
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44. Optimal trade-off control in machine learning-based library design, with application to adeno-associated virus (AAV) for gene therapy.

Author

Zhu, Danqing, Brookes, David, Busia, Akosua, Carneiro, Ana, Fannjiang, Clara, Popova, Galina, Shin, David, Donohue, Kevin, Lin, Li, Miller, Zachary, Williams, Evan, Chang, Edward, Nowakowski, Tomasz, Schaffer, David, and Listgarten, Jennifer

Subjects
Humans, Dependovirus, Genetic Therapy, Peptide Library, Brain, Machine Learning
Abstract

Adeno-associated viruses (AAVs) hold tremendous promise as delivery vectors for gene therapies. AAVs have been successfully engineered-for instance, for more efficient and/or cell-specific delivery to numerous tissues-by creating large, diverse starting libraries and selecting for desired properties. However, these starting libraries often contain a high proportion of variants unable to assemble or package their genomes, a prerequisite for any gene delivery goal. Here, we present and showcase a machine learning (ML) method for designing AAV peptide insertion libraries that achieve fivefold higher packaging fitness than the standard NNK library with negligible reduction in diversity. To demonstrate our ML-designed librarys utility for downstream engineering goals, we show that it yields approximately 10-fold more successful variants than the NNK library after selection for infection of human brain tissue, leading to a promising glial-specific variant. Moreover, our design approach can be applied to other types of libraries for AAV and beyond.

Published
2024

45. New Medical Device and Therapeutic Approvals in Otolaryngology: State of the Art Review of 2022.

Author

Wu, Franklin, Gorelik, Daniel, Brenner, Michael, Takashima, Masayoshi, Goyal, Amit, Kita, Ashley, Rose, Austin, Hong, Robert, Abuzeid, Waleed, Maria, Peter, Al-Sayed, Ahmed, Dunham, Michael, Kadkade, Prajoy, Schaffer, Scott, Johnson, Alan, Eshraghi, Adrien, Samargandy, Shireen, Morrison, Robert, Weissbrod, Philip, Mitchell, Margaret, Rabbani, Cyrus, Futran, Neil, and Ahmed, Omar

Subjects
innovation, medical review, new devices
Abstract

OBJECTIVE: To review new drugs and devices relevant to otolaryngology approved by the Food and Drug Administration (FDA) in 2022. DATA SOURCES: Publicly available FDA data on drugs and devices approved in 2022. REVIEW METHODS: A preliminary screen was conducted to identify drugs and devices relevant to otolaryngology. A secondary screen by members of the American Academy of Otolaryngology-Head and Neck Surgerys (AAO-HNS) Medical Devices and Drugs Committee differentiated between minor updates and new approvals. The final list of drugs and devices was sent to members of each subspecialty for review and analysis. CONCLUSION: A total of 1251 devices and 37 drugs were identified on preliminary screening. Of these, 329 devices and 5 drugs were sent to subspecialists for further review, from which 37 devices and 2 novel drugs were selected for further analysis. The newly approved devices spanned all subspecialties within otolaryngology. Many of the newly approved devices aimed to enhance patient experience, including over-the-counter hearing aids, sleep monitoring devices, and refined CPAP devices. Other advances aimed to improve surgical access, convenience, or comfort in the operating room and clinic. IMPLICATIONS FOR PRACTICE: Many new devices and drugs are approved each year to improve patient care and care delivery. By staying up to date with these advances, otolaryngologists can leverage new innovations to improve the safety and quality of care. Given the recent approval of these devices, further studies are needed to assess long-term impact within the field of otolaryngology.

Published
2024

46. Search for heavy resonances in final states with four leptons and missing transverse momentum or jets in pp collisions at s = 13 TeV with the ATLAS detector

Author

Aad, G., Aakvaag, E., Abbott, B., Abeling, K., Abicht, N. J., Abidi, S. H., Aboulhorma, A., Abramowicz, H., Abreu, H., Abulaiti, Y., Acharya, B. S., Adam Bourdarios, C., Adamczyk, L., Addepalli, S. V., Addison, M. J., Adelman, J., Adiguzel, A., Adye, T., Affolder, A. A., Afik, Y., Agaras, M. N., Agarwala, J., Aggarwal, A., Agheorghiesei, C., Ahmad, A., Ahmadov, F., Ahmed, W. S., Ahuja, S., Ai, X., Aielli, G., Aikot, A., Ait Tamlihat, M., Aitbenchikh, B., Aizenberg, I., Akbiyik, M., Åkesson, T. P. A., Akimov, A. V., Akiyama, D., Akolkar, N. N., Aktas, S., Al Khoury, K., Alberghi, G. L., Albert, J., Albicocco, P., Albouy, G. L., Alderweireldt, S., Alegria, Z. L., Aleksa, M., Aleksandrov, I. N., Alexa, C., Alexopoulos, T., Alfonsi, F., Algren, M., Alhroob, M., Ali, B., Ali, H. M. J., Ali, S., Alibocus, S. W., Aliev, M., Alimonti, G., Alkakhi, W., Allaire, C., Allbrooke, B. M. M., Allen, J. F., Allendes Flores, C. A., Allport, P. P., Aloisio, A., Alonso, F., Alpigiani, C., Alvarez Estevez, M., Alvarez Fernandez, A., Alves Cardoso, M., Alviggi, M. G., Aly, M., Amaral Coutinho, Y., Ambler, A., Amelung, C., Amerl, M., Ames, C. G., Amidei, D., Amor Dos Santos, S. P., Amos, K. R., Ananiev, V., Anastopoulos, C., Andeen, T., Anders, J. K., Andrean, S. Y., Andreazza, A., Angelidakis, S., Angerami, A., Anisenkov, A. V., Annovi, A., Antel, C., Anthony, M. T., Antipov, E., Antonelli, M., Anulli, F., Aoki, M., Aoki, T., Aparisi Pozo, J. A., Aparo, M. A., Aperio Bella, L., Appelt, C., Apyan, A., Arbiol Val, S. J., Arcangeletti, C., Arce, A. T. H., Arena, E., Arguin, J-F., Argyropoulos, S., Arling, J.-H., Arnaez, O., Arnold, H., Artoni, G., Asada, H., Asai, K., Asai, S., Asbah, N. A., Assamagan, K., Astalos, R., Atashi, S., Atkin, R. J., Atkinson, M., Atmani, H., Atmasiddha, P. A., Augsten, K., Auricchio, S., Auriol, A. D., Austrup, V. A., Avolio, G., Axiotis, K., Azuelos, G., Babal, D., Bachacou, H., Bachas, K., Bachiu, A., Backman, F., Badea, A., Baer, T. M., Bagnaia, P., Bahmani, M., Bahner, D., Bai, K., Bailey, A. J., Bailey, V. R., Baines, J. T., Baines, L., Baker, O. K., Bakos, E., Bakshi Gupta, D., Balakrishnan, V., Balasubramanian, R., Baldin, E. M., Balek, P., Ballabene, E., Balli, F., Baltes, L. M., Balunas, W. K., Balz, J., Banas, E., Bandieramonte, M., Bandyopadhyay, A., Bansal, S., Barak, L., Barakat, M., Barberio, E. L., Barberis, D., Barbero, M., Barel, M. Z., Barends, K. N., Barillari, T., Barisits, M-S., Barklow, T., Baron, P., Baron Moreno, D. A., Baroncelli, A., Barone, G., Barr, A. J., Barr, J. D., Barreiro, F., Barreiro Guimarães da Costa, J., Barron, U., Barros Teixeira, M. G., Barsov, S., Bartels, F., Bartoldus, R., Barton, A. E., Bartos, P., Basan, A., Baselga, M., Bassalat, A., Basso, M. J., Basson, C. R., Bates, R. L., Batlamous, S., Batool, B., Battaglia, M., Battulga, D., Bauce, M., Bauer, M., Bauer, P., Bazzano Hurrell, L. T., Beacham, J. B., Beau, T., Beaucamp, J. Y., Beauchemin, P. H., Bechtle, P., Beck, H. P., Becker, K., Beddall, A. J., Bednyakov, V. A., Bee, C. P., Beemster, L. J., Beermann, T. A., Begalli, M., Begel, M., Behera, A., Behr, J. K., Beirer, J. F., Beisiegel, F., Belfkir, M., Bella, G., Bellagamba, L., Bellerive, A., Bellos, P., Beloborodov, K., Benchekroun, D., Bendebba, F., Benhammou, Y., Benkendorfer, K. C., Beresford, L., Beretta, M., Bergeaas Kuutmann, E., Berger, N., Bergmann, B., Beringer, J., Bernardi, G., Bernius, C., Bernlochner, F. U., Bernon, F., Berrocal Guardia, A., Berry, T., Berta, P., Berthold, A., Bethke, S., Betti, A., Bevan, A. J., Bhalla, N. K., Bhamjee, M., Bhatta, S., Bhattacharya, D. S., Bhattarai, P., Bhide, K. D., Bhopatkar, V. S., Bianchi, R. M., Bianco, G., Biebel, O., Bielski, R., Biglietti, M., Billingsley, C. 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M., Cowan, G., Cranmer, K., Cremonini, D., Crépé-Renaudin, S., Crescioli, F., Cristinziani, M., Cristoforetti, M., Croft, V., Crosby, J. E., Crosetti, G., Cueto, A., Cuhadar Donszelmann, T., Cui, H., Cui, Z., Cunningham, W. R., Curcio, F., Czodrowski, P., Czurylo, M. M., Da Cunha Sargedas De Sousa, M. J., Da Fonseca Pinto, J. V., Da Via, C., Dabrowski, W., Dado, T., Dahbi, S., Dai, T., Dal Santo, D., Dallapiccola, C., Dam, M., D’amen, G., D’Amico, V., Damp, J., Dandoy, J. R., Danninger, M., Dao, V., Darbo, G., Darmora, S., Das, S. J., D’Auria, S., D’avanzo, A., David, C., Davidek, T., Davis-Purcell, B., Dawson, I., Day-hall, H. A., De, K., De Asmundis, R., De Biase, N., De Castro, S., De Groot, N., de Jong, P., De la Torre, H., De Maria, A., De Salvo, A., De Sanctis, U., De Santis, F., De Santo, A., De Vivie De Regie, J. B., Dedovich, D. V., Degens, J., Deiana, A. M., Del Corso, F., Del Peso, J., Del Rio, F., Delagrange, L., Deliot, F., Delitzsch, C. M., Della Pietra, M., Della Volpe, D., Dell’Acqua, A., Dell’Asta, L., Delmastro, M., Delsart, P. A., Demers, S., Demichev, M., Denisov, S. P., D’Eramo, L., Derendarz, D., Derue, F., Dervan, P., Desch, K., Deutsch, C., Di Bello, F. A., Di Ciaccio, A., Di Ciaccio, L., Di Domenico, A., Di Donato, C., Di Girolamo, A., Di Gregorio, G., Di Luca, A., Di Micco, B., Di Nardo, R., Diamantopoulou, M., Dias, F. A., Dias Do Vale, T., Diaz, M. A., Diaz Capriles, F. G., Didenko, M., Diehl, E. B., Díez Cornell, S., Diez Pardos, C., Dimitriadi, C., Dimitrievska, A., Dingfelder, J., Dinu, I-M., Dittmeier, S. J., Dittus, F., Djama, F., Djobava, T., Doglioni, C., Dohnalova, A., Dolejsi, J., Dolezal, Z., Dona, K. M., Donadelli, M., Dong, B., Donini, J., D’Onofrio, A., D’Onofrio, M., Dopke, J., Doria, A., Dos Santos Fernandes, N., Dougan, P., Dova, M. T., Doyle, A. T., Draguet, M. A., Dreyer, E., Drivas-koulouris, I., Drnevich, M., Drozdova, M., Du, D., du Pree, T. A., Dubinin, F., Dubovsky, M., Duchovni, E., Duckeck, G., Ducu, O. A., Duda, D., Dudarev, A., Duden, E. R., D’uffizi, M., Duflot, L., Dührssen, M., Dumitriu, A. E., Dunford, M., Dungs, S., Dunne, K., Duperrin, A., Duran Yildiz, H., Düren, M., Durglishvili, A., Dwyer, B. L., Dyckes, G. I., Dyndal, M., Dziedzic, B. S., Earnshaw, Z. O., Eberwein, G. H., Eckerova, B., Eggebrecht, S., Egidio Purcino De Souza, E., Ehrke, L. F., Eigen, G., Einsweiler, K., Ekelof, T., Ekman, P. A., El Farkh, S., El Ghazali, Y., El Jarrari, H., El Moussaouy, A., Ellajosyula, V., Ellert, M., Ellinghaus, F., Ellis, N., Elmsheuser, J., Elsing, M., Emeliyanov, D., Enari, Y., Ene, I., Epari, S., Erland, P. A., Errenst, M., Escalier, M., Escobar, C., Etzion, E., Evans, G., Evans, H., Evans, L. S., Ezhilov, A., Ezzarqtouni, S., Fabbri, F., Fabbri, L., Facini, G., Fadeyev, V., Fakhrutdinov, R. M., Fakoudis, D., Falciano, S., Falda Ulhoa Coelho, L. F., Falke, P. J., Faltova, J., Fan, C., Fan, Y., Fang, Y., Fanti, M., Faraj, M., Farazpay, Z., Farbin, A., Farilla, A., Farooque, T., Farrington, S. M., Fassi, F., Fassouliotis, D., Faucci Giannelli, M., Fawcett, W. J., Fayard, L., Federic, P., Federicova, P., Fedin, O. L., Feickert, M., Feligioni, L., Fellers, D. E., Feng, C., Feng, M., Feng, Z., Fenton, M. J., Ferencz, L., Ferguson, R. A. M., Fernandez Luengo, S. I., Fernandez Martinez, P., Fernoux, M. J. V., Ferrando, J., Ferrari, A., Ferrari, P., Ferrari, R., Ferrere, D., Ferretti, C., Fiedler, F., Fiedler, P., Filipčič, A., Filmer, E. K., Filthaut, F., Fiolhais, M. C. N., Fiorini, L., Fisher, W. C., Fitschen, T., Fitzhugh, P. M., Fleck, I., Fleischmann, P., Flick, T., Flores, M., Flores Castillo, L. R., Flores Sanz De Acedo, L., Follega, F. M., Fomin, N., Foo, J. H., Formica, A., Forti, A. C., Fortin, E., Fortman, A. W., Foti, M. 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V., Gonzalez Suarez, R., Gonzalez-Sevilla, S., Gonzalvo Rodriguez, G. R., Goossens, L., Gorini, B., Gorini, E., Gorišek, A., Gosart, T. C., Goshaw, A. T., Gostkin, M. I., Goswami, S., Gottardo, C. A., Gotz, S. A., Gouighri, M., Goumarre, V., Goussiou, A. G., Govender, N., Grabowska-Bold, I., Graham, K., Gramstad, E., Grancagnolo, S., Grant, C. M., Gravila, P. M., Gravili, F. G., Gray, H. M., Greco, M., Grefe, C., Gregor, I. M., Grenier, P., Grewe, S. G., Grillo, A. A., Grimm, K., Grinstein, S., Grivaz, J.-F., Gross, E., Grosse-Knetter, J., Grundy, J. C., Guan, L., Gubbels, C., Guerrero Rojas, J. G. R., Guerrieri, G., Guescini, F., Gugel, R., Guhit, J. A. M., Guida, A., Guilloton, E., Guindon, S., Guo, F., Guo, J., Guo, L., Guo, Y., Gupta, R., Gupta, R., Gurbuz, S., Gurdasani, S. S., Gustavino, G., Guth, M., Gutierrez, P., Gutierrez Zagazeta, L. F., Gutsche, M., Gutschow, C., Gwenlan, C., Gwilliam, C. B., Haaland, E. S., Haas, A., Habedank, M., Haber, C., Hadavand, H. 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F., Zhang, J., Zhang, J., Zhang, K., Zhang, L., Zhang, P., Zhang, R., Zhang, S., Zhang, S., Zhang, T., Zhang, X., Zhang, X., Zhang, Y., Zhang, Y., Zhang, Y., Zhang, Z., Zhang, Z., Zhao, H., Zhao, T., Zhao, Y., Zhao, Z., Zhemchugov, A., Zheng, J., Zheng, K., Zheng, X., Zheng, Z., Zhong, D., Zhou, B., Zhou, H., Zhou, N., Zhou, Y., Zhou, Y., Zhu, C. G., Zhu, J., Zhu, Y., Zhu, Y., Zhuang, X., Zhukov, K., Zimine, N. I., Zinsser, J., Ziolkowski, M., Živković, L., Zoccoli, A., Zoch, K., Zorbas, T. G., Zormpa, O., Zou, W., and Zwalinski, L.

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2024
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47. The KIS Science Data Centre: Concept, Data, Data Access, and Analysis Tools

Author

Caligari, Peter, Aghaei, Faezeh, Beck, Janek, Bello González, Nazaret, Berdyugina, Svetlana, Bührer, Andreas, Diercke, Andrea, Gorbachev, Iaroslav, Gorobets, Andrei Y., Günter, Marco, Hamdan, Kamal, Hochmuth, Alexander, Hohl, Lea, Kehusmaa, Petri, Knobloch, Markus, Patel, Sani, Schmassmann, Markus, Vigeesh, Gangadharan, Yakobchuk, Taras, Franz, Morten, Hederer, Thomas, Schaffer, Carl, and Collados, Manuel

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2024
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48. Search for a resonance decaying into a scalar particle and a Higgs boson in final states with leptons and two photons in proton-proton collisions at s = 13 TeV with the ATLAS detector

Author

Aad, G., Aakvaag, E., Abbott, B., Abdelhameed, S., Abeling, K., Abicht, N. J., Abidi, S. H., Aboelela, M., Aboulhorma, A., Abramowicz, H., Abreu, H., Abulaiti, Y., Acharya, B. S., Ackermann, A., Adam Bourdarios, C., Adamczyk, L., Addepalli, S. V., Addison, M. J., Adelman, J., Adiguzel, A., Adye, T., Affolder, A. A., Afik, Y., Agaras, M. N., Agarwala, J., Aggarwal, A., Agheorghiesei, C., Ahmadov, F., Ahmed, W. S., Ahuja, S., Ai, X., Aielli, G., Aikot, A., Ait Tamlihat, M., Aitbenchikh, B., Akbiyik, M., Åkesson, T. P. A., Akimov, A. V., Akiyama, D., Akolkar, N. N., Aktas, S., Al Khoury, K., Alberghi, G. L., Albert, J., Albicocco, P., Albouy, G. L., Alderweireldt, S., Alegria, Z. L., Aleksa, M., Aleksandrov, I. N., Alexa, C., Alexopoulos, T., Alfonsi, F., Algren, M., Alhroob, M., Ali, B., Ali, H. M. J., Ali, S., Alibocus, S. W., Aliev, M., Alimonti, G., Alkakhi, W., Allaire, C., Allbrooke, B. M. M., Allen, J. F., Allendes Flores, C. A., Allport, P. P., Aloisio, A., Alonso, F., Alpigiani, C., Alsolami, Z. M. K., Alvarez Estevez, M., Alvarez Fernandez, A., Alves Cardoso, M., Alviggi, M. G., Aly, M., Amaral Coutinho, Y., Ambler, A., Amelung, C., Amerl, M., Ames, C. G., Amidei, D., Amini, B., Amirie, K. J., Amor Dos Santos, S. P., Amos, K. R., An, S., Ananiev, V., Anastopoulos, C., Andeen, T., Anders, J. K., Anderson, A. C., Andrean, S. Y., Andreazza, A., Angelidakis, S., Angerami, A., Anisenkov, A. V., Annovi, A., Antel, C., Antipov, E., Antonelli, M., Anulli, F., Aoki, M., Aoki, T., Aparo, M. A., Aperio Bella, L., Appelt, C., Apyan, A., Arbiol Val, S. J., Arcangeletti, C., Arce, A. T. H., Arguin, J-F., Argyropoulos, S., Arling, J.-H., Arnaez, O., Arnold, H., Artoni, G., Asada, H., Asai, K., Asai, S., Asbah, N. A., Ashby Pickering, R. A., Assamagan, K., Astalos, R., Astrand, K. S. V., Atashi, S., Atkin, R. J., Atkinson, M., Atmani, H., Atmasiddha, P. A., Augsten, K., Auricchio, S., Auriol, A. D., Austrup, V. A., Avolio, G., Axiotis, K., Azuelos, G., Babal, D., Bachacou, H., Bachas, K., Bachiu, A., Backman, F., Badea, A., Baer, T. M., Bagnaia, P., Bahmani, M., Bahner, D., Bai, K., Baines, J. T., Baines, L., Baker, O. K., Bakos, E., Bakshi Gupta, D., Balabram Filho, L. E., Balakrishnan, V., Balasubramanian, R., Baldin, E. M., Balek, P., Ballabene, E., Balli, F., Baltes, L. M., Balunas, W. K., Balz, J., Bamwidhi, I., Banas, E., Bandieramonte, M., Bandyopadhyay, A., Bansal, S., Barak, L., Barakat, M., Barberio, E. L., Barberis, D., Barbero, M., Barel, M. Z., Barillari, T., Barisits, M-S., Barklow, T., Baron, P., Baron Moreno, D. A., Baroncelli, A., Barr, A. J., Barr, J. D., Barreiro, F., Barreiro Guimarães da Costa, J., Barron, U., Barros Teixeira, M. G., Barsov, S., Bartels, F., Bartoldus, R., Barton, A. E., Bartos, P., Basan, A., Baselga, M., Bassalat, A., Basso, M. J., Bataju, S., Bate, R., Bates, R. 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2024
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49. Precise test of lepton flavour universality in Wpps=13TeV-boson decays into muons and electrons in Wpps=13TeV collisions at Wpps=13TeV with the ATLAS detector

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Aad, G., Aakvaag, E., Abbott, B., Abdelhameed, S., Abeling, K., Abicht, N. J., Abidi, S. H., Aboelela, M., Aboulhorma, A., Abramowicz, H., Abreu, H., Abulaiti, Y., Acharya, B. S., Ackermann, A., Bourdarios, C. Adam, Adamczyk, L., Addepalli, S. V., Addison, M. J., Adelman, J., Adiguzel, A., Adye, T., Affolder, A. A., Afik, Y., Agaras, M. N., Agarwala, J., Aggarwal, A., Agheorghiesei, C., Ahmad, A., Ahmadov, F., Ahmed, W. S., Ahuja, S., Ai, X., Aielli, G., Aikot, A., Tamlihat, M. Ait, Aitbenchikh, B., Akbiyik, M., Åkesson, T. P. A., Akimov, A. V., Akiyama, D., Akolkar, N. N., Aktas, S., Khoury, K. Al, Alberghi, G. L., Albert, J., Albicocco, P., Albouy, G. L., Alderweireldt, S., Alegria, Z. L., Aleksa, M., Aleksandrov, I. N., Alexa, C., Alexopoulos, T., Alfonsi, F., Algren, M., Alhroob, M., Ali, B., Ali, H. M. J., Ali, S., Alibocus, S. W., Aliev, M., Alimonti, G., Alkakhi, W., Allaire, C., Allbrooke, B. M. M., Allen, J. F., Flores, C. A. Allendes, Allport, P. P., Aloisio, A., Alonso, F., Alpigiani, C., Alsolami, Z. M. K., Estevez, M. Alvarez, Fernandez, A. Alvarez, Cardoso, M. Alves, Alviggi, M. G., Aly, M., Coutinho, Y. Amaral, Ambler, A., Amelung, C., Amerl, M., Ames, C. G., Amidei, D., Amirie, K. J., Santos, S. P. Amor Dos, Amos, K. R., An, S., Ananiev, V., Anastopoulos, C., Andeen, T., Anders, J. K., Andrean, S. Y., Andreazza, A., Angelidakis, S., Angerami, A., Anisenkov, A. V., Annovi, A., Antel, C., Antipov, E., Antonelli, M., Anulli, F., Aoki, M., Aoki, T., Aparo, M. A., Bella, L. Aperio, Appelt, C., Apyan, A., Val, S. J. Arbiol, Arcangeletti, C., Arce, A. T. H., Arena, E., Arguin, J.-F., Argyropoulos, S., Arling, J.-H., Arnaez, O., Arnold, H., Artoni, G., Asada, H., Asai, K., Asai, S., Asbah, N. A., Ashby Pickering, R. A., Assamagan, K., Astalos, R., Astrand, K. S. V., Atashi, S., Atkin, R. J., Atkinson, M., Atmani, H., Atmasiddha, P. A., Augsten, K., Auricchio, S., Auriol, A. D., Austrup, V. 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