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1. Enabling GPU Portability into the Numba-JITed Monte Carlo Particle Transport Code MC/DC

Author: Morgan, Joanna Piper, Cuneo, Braxton, Variansyah, Ilham, and Niemeyer, Kyle E.
Subjects: Physics - Computational Physics
Abstract: The Center for Exascale Monte Carlo Neutron Transport is developing Monte Carlo / Dynamic Code (MC/DC) as a portable Monte Carlo neutron transport package for rapid numerical methods exploration on CPU- and GPU-based high-performance computers. In this paper, we describe MC/DC's current event-based GPU algorithm as well as the just-in-time (JIT) compilation scheme we use to enable GPU operability on Nvidia and AMD GPUs from MC/DC's Python source. To analyze performance, we conduct runtime tests of the C5G7 k-eigenvalue benchmark problem and a continuous-energy infinite pin cell on Nvidia Tesla V100 GPU, AMD MI250X GPU, and the AMD MI300A APU and make comparison to a dual-socket Intel Xeon Sapphire Rapid CPU node. We found that for the multi-group C5G7 benchmark problem, we respectively see a 15$\times$, 0.7$\times$, 12$\times$ speedup on a V100, MI250X, and MI300A over 112 Intel Xeon CPU cores. For the continuous-energy infinite pin-cell benchmark, we found speedups of 5$\times$, 3$\times$, 4$\times$ on a V100, MI250X, and MI300A, respectively, over the same CPU node., Comment: 14 pages, 3 figures
Published: 2025

2. Fermion-Boson Stars as Attractors in Fuzzy Dark Matter and Ideal Gas Dynamics

Author: Alvarez-Rios, Ivan, Guzman, Francisco S., and Niemeyer, Jens
Subjects: Astrophysics - Cosmology and Nongalactic Astrophysics, General Relativity and Quantum Cosmology
Abstract: In the context of Fuzzy Dark Matter (FDM) we study the core formation in the presence of an Ideal Gas (IG). Our analysis is based on the solution of the Schr\"odinger-Poisson-Euler system of equations that drives the evolution of FDM together with a compressible IG, both coupled through the gravitational potential they produce. Starting from random initial conditions for both FDM and IG, with dominant FDM, we study the evolution of the system until it forms a nearly relaxed, virialized and close to hydrostatic equilibrium core, surrounded by an envelope of the two components. We find that the core corresponds to Newtonian Fermion-Boson Stars (FBS). If the IG is used to model luminous matter, our results indicate that FBS behave as attractor core solutions of structure formation of FDM along with baryonic matter., Comment: 6 pages, 5 figures
Published: 2024

3. SuperGSeg: Open-Vocabulary 3D Segmentation with Structured Super-Gaussians

Author: Liang, Siyun, Wang, Sen, Li, Kunyi, Niemeyer, Michael, Gasperini, Stefano, Navab, Nassir, and Tombari, Federico
Subjects: Computer Science - Computer Vision and Pattern Recognition
Abstract: 3D Gaussian Splatting has recently gained traction for its efficient training and real-time rendering. While the vanilla Gaussian Splatting representation is mainly designed for view synthesis, more recent works investigated how to extend it with scene understanding and language features. However, existing methods lack a detailed comprehension of scenes, limiting their ability to segment and interpret complex structures. To this end, We introduce SuperGSeg, a novel approach that fosters cohesive, context-aware scene representation by disentangling segmentation and language field distillation. SuperGSeg first employs neural Gaussians to learn instance and hierarchical segmentation features from multi-view images with the aid of off-the-shelf 2D masks. These features are then leveraged to create a sparse set of what we call Super-Gaussians. Super-Gaussians facilitate the distillation of 2D language features into 3D space. Through Super-Gaussians, our method enables high-dimensional language feature rendering without extreme increases in GPU memory. Extensive experiments demonstrate that SuperGSeg outperforms prior works on both open-vocabulary object localization and semantic segmentation tasks., Comment: 13 pages, 8 figures
Published: 2024

4. Extreme Points in Multi-Dimensional Screening

Author: Lahr, Patrick and Niemeyer, Axel
Subjects: Economics - Theoretical Economics, Computer Science - Computer Science and Game Theory
Abstract: This paper characterizes extreme points of the set of incentive-compatible mechanisms for screening problems with linear utility. Extreme points are exhaustive mechanisms, meaning their menus cannot be scaled and translated to make additional feasibility constraints binding. In problems with one-dimensional types, extreme points admit a tractable description with a tight upper bound on their menu size. In problems with multi-dimensional types, every exhaustive mechanism can be transformed into an extreme point by applying an arbitrarily small perturbation. For mechanisms with a finite menu, this perturbation displaces the menu items into general position. Generic exhaustive mechanisms are extreme points with an uncountable menu. Similar results hold in applications to delegation, veto bargaining, and monopoly problems, where we consider mechanisms that are unique maximizers for specific classes of objective functionals. The proofs involve a novel connection between menus of extreme points and indecomposable convex bodies, first studied by Gale (1954).
Published: 2024

5. Gaussians-to-Life: Text-Driven Animation of 3D Gaussian Splatting Scenes

Author: Wimmer, Thomas, Oechsle, Michael, Niemeyer, Michael, and Tombari, Federico
Subjects: Computer Science - Computer Vision and Pattern Recognition
Abstract: State-of-the-art novel view synthesis methods achieve impressive results for multi-view captures of static 3D scenes. However, the reconstructed scenes still lack "liveliness," a key component for creating engaging 3D experiences. Recently, novel video diffusion models generate realistic videos with complex motion and enable animations of 2D images, however they cannot naively be used to animate 3D scenes as they lack multi-view consistency. To breathe life into the static world, we propose Gaussians2Life, a method for animating parts of high-quality 3D scenes in a Gaussian Splatting representation. Our key idea is to leverage powerful video diffusion models as the generative component of our model and to combine these with a robust technique to lift 2D videos into meaningful 3D motion. We find that, in contrast to prior work, this enables realistic animations of complex, pre-existing 3D scenes and further enables the animation of a large variety of object classes, while related work is mostly focused on prior-based character animation, or single 3D objects. Our model enables the creation of consistent, immersive 3D experiences for arbitrary scenes., Comment: Project website: https://wimmerth.github.io/gaussians2life.html
Published: 2024

6. G2SDF: Surface Reconstruction from Explicit Gaussians with Implicit SDFs

Author: Li, Kunyi, Niemeyer, Michael, Chen, Zeyu, Navab, Nassir, and Tombari, Federico
Subjects: Computer Science - Computer Vision and Pattern Recognition
Abstract: State-of-the-art novel view synthesis methods such as 3D Gaussian Splatting (3DGS) achieve remarkable visual quality. While 3DGS and its variants can be rendered efficiently using rasterization, many tasks require access to the underlying 3D surface, which remains challenging to extract due to the sparse and explicit nature of this representation. In this paper, we introduce G2SDF, a novel approach that addresses this limitation by integrating a neural implicit Signed Distance Field (SDF) into the Gaussian Splatting framework. Our method links the opacity values of Gaussians with their distances to the surface, ensuring a closer alignment of Gaussians with the scene surface. To extend this approach to unbounded scenes at varying scales, we propose a normalization function that maps any range to a fixed interval. To further enhance reconstruction quality, we leverage an off-the-shelf depth estimator as pseudo ground truth during Gaussian Splatting optimization. By establishing a differentiable connection between the explicit Gaussians and the implicit SDF, our approach enables high-quality surface reconstruction and rendering. Experimental results on several real-world datasets demonstrate that G2SDF achieves superior reconstruction quality than prior works while maintaining the efficiency of 3DGS.
Published: 2024

7. Construction of Toroidal Polyhedra corresponding to perfect Chains of wild Tetrahedra

Author: Akpanya, Reymond, Kirekod, Vanishree Krishna, Niemeyer, Alice C., and Robertz, Daniel
Subjects: Mathematics - Combinatorics, Computer Science - Computational Geometry, Computer Science - Discrete Mathematics, 05C15, 52B05, G.2
Abstract: In 1957, Steinhaus proved that a chain of regular tetrahedra, meeting face-to-face and forming a closed loop does not exist. Over the years, various modifications of this statement have been considered and analysed. Weakening the statement by only requiring the tetrahedra of a chain to be wild, i.e. having all faces congruent, results in various examples of such chains. In this paper, we elaborate on the construction of these chains of wild tetrahedra. We therefore introduce the notions of chains and clusters of wild tetrahedra and relate these structures to simplicial surfaces. We establish that clusters and chains of wild tetrahedra can be described by polyhedra in Euclidean 3-space. As a result, we present methods to construct toroidal polyhedra arising from chains and provide a census of such toroidal polyhedra consisting of up to 20 wild tetrahedra. Here, we classify toroidal polyhedra with respect to self-intersections and reflection symmetries. We further prove the existence of an infinite family of toroidal polyhedra emerging from chains of wild tetrahedra and present clusters of wild tetrahedra that yield polyhedra of higher genera.
Published: 2024

8. Absolutely irreducible quasisimple linear groups containing elements of order a specified Zsigmondy prime

Author: Glasby, S. P., Niemeyer, Alice C., Praeger, Cheryl E., and Zalesski, A. E.
Subjects: Mathematics - Representation Theory, Mathematics - Group Theory, 20C20, 20G05, 20H20
Abstract: This paper is concerned with absolutely irreducible quasisimple subgroups $G$ of a finite general linear group $GL_d(\mathbb{F}_q)$ for which some element $g\in G$ of prime order $r$, in its action on the natural module $V=(\mathbb{F}_q)^d$, is irreducible on a subspace of the form $V(1-g)$ of dimension $d/2$. We classify $G,d,r$, the characteristic $p$ of the field $\mathbb{F}_q$, and we identify those examples where the element $g$ has a fixed point subspace of dimension $d/2$. Our proof relies on representation theory, in particular, the multiplicities of eigenvalues of $g$, and builds on earlier results of DiMuro., Comment: 34 pages, 9 tables, dedicated to the memory of Richard A. Parker
Published: 2024

9. Interplay of Cubic Graphs and Simplicial Surfaces

Author: Weiß, Meike and Niemeyer, Alice C.
Subjects: Mathematics - Combinatorics
Abstract: Simplicial surfaces describe the incidence relations between vertices, edges and faces of triangulated 2-dimensional manifolds in a purely combinatorial way. By considering only the incidences of edges and faces, simplicial surfaces are closely related to cubic graphs. In this paper we investigate how properties of simplicial surfaces and cubic graphs can be transferred to each other. Furthermore, we study embeddings of cubic graphs on simplicial surfaces and how they are connected to strong graph embeddings. For instance, 3-connected cubic planar graphs are uniquely embeddable on simplicial spheres, which is a direct consequence of Whitney's embedding theorem. Moreover, 3-connected cubic planar graphs can also be embedded on simplicial surfaces of higher genus. We characterise the properties that a simplicial sphere must possess such that the cubic graph describing its edge-face incidence relation can be embedded on a simplicial surface of non-negative Euler characteristic.
Published: 2024

10. Tracking the Morphological Evolution of Neuronal Dendrites by First-Passage Analysis

Author: Kreten, Fabian H., Niemeyer, Barbara A., Santen, Ludger, and Shaebani, Reza
Subjects: Condensed Matter - Soft Condensed Matter, Physics - Biological Physics, Physics - Medical Physics
Abstract: A high degree of structural complexity arises in dynamic neuronal dendrites due to extensive branching patterns and diverse spine morphologies, which enable the nervous system to adjust function, construct complex input pathways and thereby enhance the computational power of the system. Owing to the determinant role of dendrite morphology in the functionality of the nervous system, recognition of pathological changes due to neurodegenerative disorders is of crucial importance. We show that the statistical analysis of a temporary signal generated by cargos that have diffusively passed through the complex dendritic structure yields vital information about dendrite morphology. As a feasible scenario, we propose engineering mRNA-carrying multilamellar liposomes to diffusively reach the soma and release mRNAs, which encodes a specific protein upon encountering ribosomes. The concentration of this protein over a large population of neurons can be externally measured, as a detectable temporary signal. By developing a stochastic coarse-grained approach for first-passage through dendrites, we connect the model parameters to the characteristics of the evolving signal and, on the other hand, map them to the key morphological properties affected by neurodegenerative diseases -- including the density and size of spines, the extent of the tree, and the segmental increase of dendrite diameter towards soma. Thus, we establish a direct link between the dendrite morphology and the statistical characteristics of the detectable signal. Our approach provides a fast noninvasive measurement technique to indirectly extract vital information about the morphological evolution of dendrites in the course of neurodegenerative disease progression., Comment: 13 pages, 7 figures
Published: 2024

11. Optimal Allocation with Peer Information

Author: Niemeyer, Axel and Preusser, Justus
Subjects: Economics - Theoretical Economics
Abstract: We study allocation problems without monetary transfers where agents hold private information about one another, modeled as a general form of correlated information. Such peer information is relevant in a number of settings, including science funding, allocation of targeted aid, or intra-firm allocation. We characterize optimal dominant-strategy incentive-compatible (DIC) mechanisms using techniques from the theory of perfect graphs. Optimal DIC mechanisms tend to be complex and involve allocation lotteries that cannot be purified without upsetting incentives. In rich type spaces, nearly all extreme points of the set of DIC mechanisms are stochastic. Finding an optimal deterministic DIC mechanism is NP-hard. We propose the simple class of ranking-based mechanisms and show that they are approximately optimal when agents are informationally small. These mechanisms allocate to agents ranked highly by their peers but strategically deny the allocation to agents suspected of having evaluated their peers dishonestly.
Published: 2024

12. Noncommutative Polygonal Cluster Algebras

Author: Greenberg, Zachary, Kaufman, Dani, Niemeyer, Merik, and Wienhard, Anna
Subjects: Mathematics - Representation Theory, Mathematics - Combinatorics, Mathematics - Rings and Algebras, 13F60 (Primary), 58B34, 22E40 (Secondary)
Abstract: We define a new family of noncommutative generalizations of cluster algebras called polygonal cluster algebras. These algebras generalize the noncommutative surfaces of Berenstein-Retakh, and are inspired by the emerging theory of $\Theta$-positivity for the groups $\mathrm{Spin}(p,q)$. They are generated by mutations of quivers which we call ST-compatible, and which encode the order of the products that appear in the exchange relations. We show that these ST-compatible quivers can be represented by tilings of surfaces by polygons, a generalization of the description of surface type cluster algebras. As examples, we construct tilings which produce ST-compatible versions of the Del Pezzo quivers and the quivers first described by Le for Fock-Goncharov coordinates for Lie groups of type $B$. We show that polygonal cluster algebras have natural evaluations in Clifford algebras, which we use to produce noncommutative generalizations of the Somos sequences and to parameterize the $\Theta$-positive semigroup of $\mathrm{Spin}(2,n)$. We indicate how this will be done for the semigroup in $\mathrm{Spin}(p,q)$ and how one will give coordinates for general $\Theta$-positive representations into $\mathrm{Spin}(p,q)$., Comment: 64 pages, 46 figures. Comments Welcome!
Published: 2024

13. Performance Portable Monte Carlo Neutron Transport in MCDC via Numba

Author: Morgan, Joanna Piper, Variansyah, Ilham, Cuneo, Braxton, Palmer, Todd S., and Niemeyer, Kyle E.
Subjects: Physics - Computational Physics
Abstract: Finding a software engineering approach that allows for portability, rapid development, open collaboration, and performance for high performance computing on GPUs and CPUs is a challenge. We implement a portability scheme using the Numba compiler for Python in Monte Carlo / Dynamic Code (MC/DC), a new neutron transport application for rapid Monte Carlo methods development. Using this scheme, we have built MC/DC as a single source, single language, single compiler application that can run as a pure Python, compiled CPU, or compiled GPU solver. In GPU mode, we use Numba paired with an asynchronous GPU scheduler called Harmonize to increase GPU performance. We present performance results for a time-dependent problem on both the CPU and GPU and compare them to a production code., Comment: 11 pages, 5 figures
Published: 2024

14. A Structured Framework for Predicting Sustainable Aviation Fuel Properties using Liquid-Phase FTIR and Machine Learning

Author: Comesana, Ana E., Chen, Sharon S., Niemeyer, Kyle E., and Rapp, Vi H.
Subjects: Physics - Chemical Physics, Computer Science - Machine Learning
Abstract: Sustainable aviation fuels have the potential for reducing emissions and environmental impact. To help identify viable sustainable aviation fuels and accelerate research, several machine learning models have been developed to predict relevant physiochemical properties. However, many of the models have limited applicability, leverage data from complex analytical techniques with confined spectral ranges, or use feature decomposition methods that have limited interpretability. Using liquid-phase Fourier Transform Infrared (FTIR) spectra, this study presents a structured method for creating accurate and interpretable property prediction models for neat molecules, aviation fuels, and blends. Liquid-phase FTIR spectra measurements can be collected quickly and consistently, offering high reliability, sensitivity, and component specificity using less than 2 mL of sample. The method first decomposes FTIR spectra into fundamental building blocks using Non-negative Matrix Factorization (NMF) to enable scientific analysis of FTIR spectra attributes and fuel properties. The NMF features are then used to create five ensemble models for predicting final boiling point, flash point, freezing point, density at 15C, and kinematic viscosity at -20C. All models were trained using experimental property data from neat molecules, aviation fuels, and blends. The models accurately predict properties while enabling interpretation of relationships between compositional elements of a fuel, such as functional groups or chemical classes, and its properties. To support sustainable aviation fuel research and development, the models and data are available on an interactive web tool., Comment: 13 pages, 8 figures, Submitted to Fuel
Published: 2024

15. Strong Embeddings of 3-connected Cubic Planar Graphs on Surfaces of non-negative Euler Characteristic

Author: Weiß, Meike and Niemeyer, Alice C.
Subjects: Mathematics - Combinatorics
Abstract: Whitney proved that 3-connected planar graphs can be embedded uniquely on the sphere. In general, such a graph may also have embeddings on different surfaces. Enami focused on cubic graphs and showed that a 3-connected cubic planar graph can be re-embedded on a surface of non-negative Euler characteristic if and only if the dual graph contains a specific subgraph. Motivated by applications to triangulated surfaces, we investigate strong re-embeddings and show that these are characterised by a subset of Enami's subgraphs. Additionally, we provide criteria for when a graph does not possess a strong re-embedding on the projective plane, the torus or the Klein bottle.
Published: 2024

16. Effect of Lyman-$\alpha$ Radiative Transfer on Intensity Mapping Power Spectra

Author: Niemeyer, Maja Lujan
Subjects: Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract: Clustering of Lyman-$\alpha$ (Ly$\alpha$) emitting galaxies (LAEs) is a useful probe of cosmology. However, Ly$\alpha$ radiative transfer (RT) effects, such as absorption, line shift, and line broadening, and their dependence on the large-scale density and velocity fields can modify the measured LAE clustering and line intensity mapping (LIM) statistics. We explore the effect of RT on the Ly$\alpha$ LIM power spectrum in two ways: using an analytic description based on linear approximations and using lognormal mocks. The qualitative effect of intergalactic Ly$\alpha$ absorption on the LIM auto- and cross-power spectrum is a scale-dependent, reduced effective bias, reduced mean intensity, and modified redshift-space distortions. The linear absorption model does not describe the results of the lognormal simulations well. The random line shift suppresses the redshift-space power spectrum similar to the Fingers-of-God effect. In cross-correlation of LAEs or Ly$\alpha$ intensity with a non-Ly$\alpha$ tracer, the Ly$\alpha$ line shift leads to a phase shift of the complex power spectrum, i.e. a cosine damping of the real part. Line broadening from RT suppresses the LIM power spectra in the same way as limited spectral resolution. We study the impact of Ly$\alpha$ RT effects on the Hobby-Eberly Telescope Dark Energy Experiment (HETDEX) LAE and LIM power spectra using lognormal mocks. We find that even small amounts of IGM absorption will significantly change the measured LAE auto-power spectrum and the LAE-intensity cross-power spectrum. Therefore, HETDEX will be able to constrain Ly$\alpha$ RT effects., Comment: 12 pages, 6 figures, comments are welcome
Published: 2024

17. Urban structures are poor stepping stones for crevice-nesting ants in fragmented landscapes

Author: Satizabal-Niemeyer, D., Bernadou, A., Wanke, C., Heinze, J., and Cordonnier, M.
Published: 2025
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18. Coding traumatic brain injury with the abbreviated injury scale following a standardised radiologic template will improve classification of trauma populations

Author: van Ditshuizen, Jan C., Niemeyer, Menco J. S., Van Lieshout, Esther M. M., Den Hartog, Dennis, Visser, Jan-Jaap, van Wessem, Karlijn J. P., and Verhofstad, Michiel H. J.
Published: 2025
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19. Patientenselektion und Indikationen zur operativen Knorpeltherapie: Wann operieren und wann eher nicht?

Author: Niemeyer, Philipp, Bumberger, Alexander, and Rilk, Sebastian
Published: 2025
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20. Misinformation research needs ecological validity

Author: Crum, James, Spencer, Cara, Doherty, Emily, Richardson, Erin, Sherman, Sage, Hays, Amy W., Saxena, Nitesh, Niemeyer, Richard E., Anderson, Allison P., Čeko, Marta, and Hirshfield, Leanne
Published: 2024
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21. Evolutive Rendering Models

Author: Zhan, Fangneng, Liang, Hanxue, Wang, Yifan, Niemeyer, Michael, Oechsle, Michael, Kortylewski, Adam, Oztireli, Cengiz, Wetzstein, Gordon, and Theobalt, Christian
Subjects: Computer Science - Computer Vision and Pattern Recognition
Abstract: The landscape of computer graphics has undergone significant transformations with the recent advances of differentiable rendering models. These rendering models often rely on heuristic designs that may not fully align with the final rendering objectives. We address this gap by pioneering \textit{evolutive rendering models}, a methodology where rendering models possess the ability to evolve and adapt dynamically throughout the rendering process. In particular, we present a comprehensive learning framework that enables the optimization of three principal rendering elements, including the gauge transformations, the ray sampling mechanisms, and the primitive organization. Central to this framework is the development of differentiable versions of these rendering elements, allowing for effective gradient backpropagation from the final rendering objectives. A detailed analysis of gradient characteristics is performed to facilitate a stable and goal-oriented elements evolution. Our extensive experiments demonstrate the large potential of evolutive rendering models for enhancing the rendering performance across various domains, including static and dynamic scene representations, generative modeling, and texture mapping., Comment: Project page: https://fnzhan.com/Evolutive-Rendering-Models/
Published: 2024

22. Splat-SLAM: Globally Optimized RGB-only SLAM with 3D Gaussians

Author: Sandström, Erik, Tateno, Keisuke, Oechsle, Michael, Niemeyer, Michael, Van Gool, Luc, Oswald, Martin R., and Tombari, Federico
Subjects: Computer Science - Computer Vision and Pattern Recognition
Abstract: 3D Gaussian Splatting has emerged as a powerful representation of geometry and appearance for RGB-only dense Simultaneous Localization and Mapping (SLAM), as it provides a compact dense map representation while enabling efficient and high-quality map rendering. However, existing methods show significantly worse reconstruction quality than competing methods using other 3D representations, e.g. neural points clouds, since they either do not employ global map and pose optimization or make use of monocular depth. In response, we propose the first RGB-only SLAM system with a dense 3D Gaussian map representation that utilizes all benefits of globally optimized tracking by adapting dynamically to keyframe pose and depth updates by actively deforming the 3D Gaussian map. Moreover, we find that refining the depth updates in inaccurate areas with a monocular depth estimator further improves the accuracy of the 3D reconstruction. Our experiments on the Replica, TUM-RGBD, and ScanNet datasets indicate the effectiveness of globally optimized 3D Gaussians, as the approach achieves superior or on par performance with existing RGB-only SLAM methods methods in tracking, mapping and rendering accuracy while yielding small map sizes and fast runtimes. The source code is available at https://github.com/eriksandstroem/Splat-SLAM., Comment: 21 pages
Published: 2024

23. Topologically Interlocking Blocks inside the Tetroctahedrille

Author: Akpanya, Reymond, Goertzen, Tom, and Niemeyer, Alice C.
Subjects: Mathematics - Combinatorics, Computer Science - Computational Geometry, 05C50, 68U05, 90C59
Abstract: A topological interlocking assembly consists of rigid blocks together with a fixed frame, such that any subset of blocks is kinematically constrained and therefore cannot be removed from the assembly. In this paper we pursue a modular approach to construct (non-convex) interlocking blocks by combining finitely many tetrahedra and octahedra. This gives rise to polyhedra whose vertices can be described by the tetrahedral-octahedral honeycomb, also known as tetroctahedrille. We show that the resulting interlocking blocks are very versatile and allow many possibilities to form topological interlocking assemblies consisting of copies of a single block. We formulate a generalised construction of some of the introduced blocks to construct families of topological interlocking blocks. Moreover, we demonstrate a geometric application by using the tetroctahedrille to approximate given geometric objects. Finally, we show that given topological interlocking assemblies can be deformed continuously in order to obtain new topological interlocking assemblies., Comment: Keywords: Topological interlocking, Space Fillings, Triangulations, Origami, Approximations
Published: 2024

24. Constructive Recognition of Special Linear Groups

Author: Horn, Max, Niemeyer, Alice, Praeger, Cheryl, and Rademacher, Daniel
Subjects: Mathematics - Group Theory
Abstract: We introduce a new constructive recognition algorithm for finite special linear groups in their natural representation. Given a group $G$ generated by a set of $d\times d$ matrices over a finite field $\mathbb{F}_q$, known to be isomorphic to the special linear group $\mathrm{SL}(d,q)$, the algorithm computes a special generating set $S$ for $G$. These generators enable efficient computations with the input group, including solving the word problem. Implemented in the computer algebra system GAP, our algorithm outperforms existing state-of-the-art algorithms by a significant margin. A detailed complexity analysis of the algorithm will be presented in an upcoming publication.
Published: 2024

25. OpenNeRF: Open Set 3D Neural Scene Segmentation with Pixel-Wise Features and Rendered Novel Views

Author: Engelmann, Francis, Manhardt, Fabian, Niemeyer, Michael, Tateno, Keisuke, Pollefeys, Marc, and Tombari, Federico
Subjects: Computer Science - Computer Vision and Pattern Recognition
Abstract: Large visual-language models (VLMs), like CLIP, enable open-set image segmentation to segment arbitrary concepts from an image in a zero-shot manner. This goes beyond the traditional closed-set assumption, i.e., where models can only segment classes from a pre-defined training set. More recently, first works on open-set segmentation in 3D scenes have appeared in the literature. These methods are heavily influenced by closed-set 3D convolutional approaches that process point clouds or polygon meshes. However, these 3D scene representations do not align well with the image-based nature of the visual-language models. Indeed, point cloud and 3D meshes typically have a lower resolution than images and the reconstructed 3D scene geometry might not project well to the underlying 2D image sequences used to compute pixel-aligned CLIP features. To address these challenges, we propose OpenNeRF which naturally operates on posed images and directly encodes the VLM features within the NeRF. This is similar in spirit to LERF, however our work shows that using pixel-wise VLM features (instead of global CLIP features) results in an overall less complex architecture without the need for additional DINO regularization. Our OpenNeRF further leverages NeRF's ability to render novel views and extract open-set VLM features from areas that are not well observed in the initial posed images. For 3D point cloud segmentation on the Replica dataset, OpenNeRF outperforms recent open-vocabulary methods such as LERF and OpenScene by at least +4.9 mIoU., Comment: ICLR 2024, Project page: https://opennerf.github.io
Published: 2024

26. Recent Trends in 3D Reconstruction of General Non-Rigid Scenes

Author: Yunus, Raza, Lenssen, Jan Eric, Niemeyer, Michael, Liao, Yiyi, Rupprecht, Christian, Theobalt, Christian, Pons-Moll, Gerard, Huang, Jia-Bin, Golyanik, Vladislav, and Ilg, Eddy
Subjects: Computer Science - Computer Vision and Pattern Recognition, Computer Science - Graphics
Abstract: Reconstructing models of the real world, including 3D geometry, appearance, and motion of real scenes, is essential for computer graphics and computer vision. It enables the synthesizing of photorealistic novel views, useful for the movie industry and AR/VR applications. It also facilitates the content creation necessary in computer games and AR/VR by avoiding laborious manual design processes. Further, such models are fundamental for intelligent computing systems that need to interpret real-world scenes and actions to act and interact safely with the human world. Notably, the world surrounding us is dynamic, and reconstructing models of dynamic, non-rigidly moving scenes is a severely underconstrained and challenging problem. This state-of-the-art report (STAR) offers the reader a comprehensive summary of state-of-the-art techniques with monocular and multi-view inputs such as data from RGB and RGB-D sensors, among others, conveying an understanding of different approaches, their potential applications, and promising further research directions. The report covers 3D reconstruction of general non-rigid scenes and further addresses the techniques for scene decomposition, editing and controlling, and generalizable and generative modeling. More specifically, we first review the common and fundamental concepts necessary to understand and navigate the field and then discuss the state-of-the-art techniques by reviewing recent approaches that use traditional and machine-learning-based neural representations, including a discussion on the newly enabled applications. The STAR is concluded with a discussion of the remaining limitations and open challenges., Comment: 42 pages, 18 figures, 5 tables; State-of-the-Art Report at EUROGRAPHICS 2024. Project page: https://razayunus.github.io/non-rigid-star
Published: 2024

27. RadSplat: Radiance Field-Informed Gaussian Splatting for Robust Real-Time Rendering with 900+ FPS

Author: Niemeyer, Michael, Manhardt, Fabian, Rakotosaona, Marie-Julie, Oechsle, Michael, Duckworth, Daniel, Gosula, Rama, Tateno, Keisuke, Bates, John, Kaeser, Dominik, and Tombari, Federico
Subjects: Computer Science - Computer Vision and Pattern Recognition, Computer Science - Graphics
Abstract: Recent advances in view synthesis and real-time rendering have achieved photorealistic quality at impressive rendering speeds. While Radiance Field-based methods achieve state-of-the-art quality in challenging scenarios such as in-the-wild captures and large-scale scenes, they often suffer from excessively high compute requirements linked to volumetric rendering. Gaussian Splatting-based methods, on the other hand, rely on rasterization and naturally achieve real-time rendering but suffer from brittle optimization heuristics that underperform on more challenging scenes. In this work, we present RadSplat, a lightweight method for robust real-time rendering of complex scenes. Our main contributions are threefold. First, we use radiance fields as a prior and supervision signal for optimizing point-based scene representations, leading to improved quality and more robust optimization. Next, we develop a novel pruning technique reducing the overall point count while maintaining high quality, leading to smaller and more compact scene representations with faster inference speeds. Finally, we propose a novel test-time filtering approach that further accelerates rendering and allows to scale to larger, house-sized scenes. We find that our method enables state-of-the-art synthesis of complex captures at 900+ FPS., Comment: Project page at https://m-niemeyer.github.io/radsplat/
Published: 2024

28. Acute neuroretinitis as a delayed manifestation of tubulointerstitial nephritis and uveitis syndrome

Author: Vazquez, Sara E, Niemeyer, Katherine, Mentreddy, Akshay, Gonzales, John, Rasool, Nailyn, Acharya, Nisha R, Doan, Thuy, and Shantha, Jessica G
Subjects: Biomedical and Clinical Sciences, Ophthalmology and Optometry, Eye Disease and Disorders of Vision, Neurosciences, Eye, Good Health and Well Being, Neuroretinitis, TINU syndrome, Uveitis
Abstract: PurposeTubulointerstitial nephritis syndrome with uveitis (TINU) is a rare, acquired syndrome characterized by interstitial nephritis with bilateral uveitis. We report a case of TINU with typical bilateral anterior uveitis complicated by an atypical, delayed-onset neuroretinitis in a 12-year old patient.ObservationA 12-year-old female with a 21-month history of TINU featuring chronic bilateral anterior uveitis presented with one week of blurred vision in her left eye. On exam she was found to have new-onset disc edema in the right eye and neuroretinitis in the left eye. After a negative infectious disease workup, the patient was treated with a course of intravenous (IV) solumedrol with prednisone taper and advancement of her systemic immunosuppression. In follow up she demonstrated resolution of her disc edema and neuroretinitis with improved visual acuity and clinical exam.ConclusionThis case stresses the importance of monitoring for additional ocular manifestations including neuroretinitis years after the onset of anterior uveitis in TINU. In comparison to the two published cases of TINU with neuroretinitis, this case shares features of uveitis progression, and thus highlights the value of further description of TINU-associated neuroretinitis.
Published: 2024

29. Reversible globus pallidus lesions secondary to severe anemia caused by acute myeloid leukemia

Author: Castro, Laura, Niemeyer, Bruno, and Marchiori, Edson
Published: 2025
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30. Improving the radiological prediction of surgical resection of nonfunctioning pituitary adenomas

Author: Giardini, Eduardo, Barbosa, Monique Alvares, Ventura, Nina, da Mata Pereira, Paulo José, Guasti, André, Niemeyer, Paulo, Andreiuolo, Felipe, Chimelli, Leila, Kasuki, Leandro, and Gadelha, Mônica R.
Published: 2024
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31. Somatic RIT1 delins in arteriovenous malformations hyperactivate RAS-MAPK signaling amenable to MEK inhibition

Author: Kapp, Friedrich G., Bazgir, Farhad, Mahammadzade, Nagi, Mehrabipour, Mehrnaz, Vassella, Erik, Bernhard, Sarah M., Döring, Yvonne, Holm, Annegret, Karow, Axel, Seebauer, Caroline, Platz Batista da Silva, Natascha, Wohlgemuth, Walter A., Oppenheimer, Aviv, Kröning, Pia, Niemeyer, Charlotte M., Schanze, Denny, Zenker, Martin, Eng, Whitney, Ahmadian, Mohammad R., Baumgartner, Iris, and Rössler, Jochen
Published: 2024
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32. Smooth trends in fermium charge radii and the impact of shell effects

Author: Warbinek, Jessica, Rickert, Elisabeth, Raeder, Sebastian, Albrecht-Schönzart, Thomas, Andelic, Brankica, Auler, Julian, Bally, Benjamin, Bender, Michael, Berndt, Sebastian, Block, Michael, Brizard, Alexandre, Chauveau, Pierre, Cheal, Bradley, Chhetri, Premaditya, Claessens, Arno, de Roubin, Antoine, Devlin, Charlie, Dorrer, Holger, Düllmann, Christoph E., Ezold, Julie, Ferrer, Rafael, Gadelshin, Vadim, Gaiser, Alyssa, Giacoppo, Francesca, Goriely, Stephane, Gutiérrez, Manuel J., Harvey, Ashley, Hasse, Raphael, Heinke, Reinhard, Heßberger, Fritz-Peter, Hilaire, Stephane, Kaja, Magdalena, Kaleja, Oliver, Kieck, Tom, Kim, EunKang, Kneip, Nina, Köster, Ulli, Kraemer, Sandro, Laatiaoui, Mustapha, Lantis, Jeremy, Lecesne, Nathalie, Loria Basto, Andrea Tzeitel, Mistry, Andrew Kishor, Mokry, Christoph, Moore, Iain, Murböck, Tobias, Münzberg, Danny, Nazarewicz, Witold, Niemeyer, Thorben, Nothhelfer, Steven, Péru, Sophie, Raggio, Andrea, Reinhard, Paul-Gerhard, Renisch, Dennis, Rey-Herme, Emmanuel, Romans, Jekabs, Romero Romero, Elisa, Runke, Jörg, Ryssens, Wouter, Savajols, Hervé, Schneider, Fabian, Sperling, Joseph, Stemmler, Matou, Studer, Dominik, Thörle-Pospiech, Petra, Trautmann, Norbert, Urquiza-González, Mitzi, van Beek, Kenneth, Van Cleve, Shelley, Van Duppen, Piet, Vandebrouck, Marine, Verstraelen, Elise, Walther, Thomas, Weber, Felix, and Wendt, Klaus
Published: 2024
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33. Differenzierte Therapie der Multiligamentinstabilität des Kniegelenks

Author: Herbort, Mirco and Niemeyer, Philipp
Published: 2024
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34. Nuclear safeguards during crises: three scenarios of restricted access to nuclear interim storage facilities

Author: Bandarra, Leonardo, Böschen, Stefan, Dürholt, Andreas, Geiser, René, Göttsche, Malte, Kretzschmar, Sophie, Niemeyer, Irmgard, Ostermann, Linda, Rademacher, Lukas, and Schäfer, Julian
Published: 2024
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35. Spermidine is essential for fasting-mediated autophagy and longevity

Author: Hofer, Sebastian J., Daskalaki, Ioanna, Bergmann, Martina, Friščić, Jasna, Zimmermann, Andreas, Mueller, Melanie I., Abdellatif, Mahmoud, Nicastro, Raffaele, Masser, Sarah, Durand, Sylvère, Nartey, Alexander, Waltenstorfer, Mara, Enzenhofer, Sarah, Faimann, Isabella, Gschiel, Verena, Bajaj, Thomas, Niemeyer, Christine, Gkikas, Ilias, Pein, Lukas, Cerrato, Giulia, Pan, Hui, Liang, YongTian, Tadic, Jelena, Jerkovic, Andrea, Aprahamian, Fanny, Robbins, Christine E., Nirmalathasan, Nitharsshini, Habisch, Hansjörg, Annerer, Elisabeth, Dethloff, Frederik, Stumpe, Michael, Grundler, Franziska, Wilhelmi de Toledo, Françoise, Heinz, Daniel E., Koppold, Daniela A., Rajput Khokhar, Anika, Michalsen, Andreas, Tripolt, Norbert J., Sourij, Harald, Pieber, Thomas R., de Cabo, Rafael, McCormick, Mark A., Magnes, Christoph, Kepp, Oliver, Dengjel, Joern, Sigrist, Stephan J., Gassen, Nils C., Sedej, Simon, Madl, Tobias, De Virgilio, Claudio, Stelzl, Ulrich, Hoffmann, Markus H., Eisenberg, Tobias, Tavernarakis, Nektarios, Kroemer, Guido, and Madeo, Frank
Published: 2024
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36. Amtliche Untersuchungsergebnisse von Einweg-E-Zigaretten aus dem Jahr 2022 in Deutschland

Author: Kirsch, Frauke, Kröner, Eva-Maria, Lange, Robert, Niemeyer, Julia, Laible, Miriam, Seidel, Julia, Paulus, Katrin, Stephani, Annette, Tamosaite, Sandra, and Dünnebier, Katja
Published: 2024
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37. The Monte Carlo Computational Summit -- October 25 & 26, 2023 -- Notre Dame, Indiana, USA

Author: Morgan, Joanna Piper, Mote, Alexander, Pasmann, Samuel Lee, Ridley, Gavin, Palmer, Todd, Niemeyer, Kyle E., and McClarren, Ryan
Subjects: Physics - Computational Physics
Abstract: The Monte Carlo Computational Summit was held on the campus of the University of Notre Dame in South Bend, Indiana, USA on 25--26 October 2023. The goals of the summit were to discuss algorithmic and software alterations required for successfully porting respective code bases to exascale-class computing hardware, compare software engineering techniques used by various code teams, and consider the adoption of industry-standard benchmark problems to better facilitate code-to-code performance comparisons. A large portion of the meeting included candid discussions of direct experiences with approaches that have and have not worked. Participants reported that identifying and implementing suitable Monte Carlo algorithms for GPUs continues to be a sticking point. They also report significant difficulty porting existing algorithms between GPU APIs (specifically Nvidia CUDA to AMD ROCm). To better compare code-to-code performance, participants decided to design a C5G7-like benchmark problem with a defined figure of merit, with the expectation of adding more benchmarks in the future. Problem specifications and results will eventually be hosted in a public repository and will be open to submissions by all Monte Carlo transport codes capable of running the benchmark problem. The participants also identified the need to explore the intermediate and long-term future of the Monte Carlo neutron transport community and how best to modernize and contextualize Monte Carlo as a useful tool in modern industry. Overall the summit was considered to be a success by the organizers and participants, and the group shared a strong desire for future, potentially larger, Monte Carlo summits., Comment: conference report
Published: 2024

38. A single-domain approach for modeling flow in and around porous media applied to buoyant reacting plume formation and ignition

Author: Behnoudfar, Diba and Niemeyer, Kyle E.
Subjects: Physics - Fluid Dynamics
Abstract: Many processes involve mixed porous-solid fluid domains where fluid flow, heat transfer, and chemical reactions interact over disparate length scales, such as the combustion of multi-species solid fuels. Although many studies have concentrated on detailed physics within the fluid or porous phase, few consider both phases, in part due to the challenge in determining suitable boundary conditions between the regions, particularly in turbulent flows where eddies might penetrate the pores. Here, we apply a single-domain approach that eliminates the need for boundary conditions at the interface, and simulate scenarios involving porous solids and a surrounding fluid. Similar to large eddy simulation, the method averages properties over a small spatial volume -- but over the entire domain. We focus on ignition and related interfacial phenomena. After verifying and validating the model, we examine the emission of buoyant reacting plumes from the surface of a heated solid and the near-field flow dynamics. The results indicate flow instabilities similar to Rayleigh--Taylor and Kelvin--Helmholtz phenomena. A combination of viscous and baroclinic torques triggers vorticity generation near the interface and its growth in the surrounding fluid region. Furthermore, we explore the effect of interface morphology, finding that geometrical characteristics such as asymmetry or gap size can alter ignition time and location, or even suppress it. Asymmetry-induced oscillations initially cause negative heat fluxes, which prevent the temperature from reaching the critical level necessary to trigger ignition. These behaviors could significantly influence the mixing of oxidizer and fuel, ignition processes, and fire propagation., Comment: Accepted to Physics of Fluids
Published: 2024
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39. InseRF: Text-Driven Generative Object Insertion in Neural 3D Scenes

Author: Shahbazi, Mohamad, Claessens, Liesbeth, Niemeyer, Michael, Collins, Edo, Tonioni, Alessio, Van Gool, Luc, and Tombari, Federico
Subjects: Computer Science - Computer Vision and Pattern Recognition, Computer Science - Graphics, Computer Science - Machine Learning
Abstract: We introduce InseRF, a novel method for generative object insertion in the NeRF reconstructions of 3D scenes. Based on a user-provided textual description and a 2D bounding box in a reference viewpoint, InseRF generates new objects in 3D scenes. Recently, methods for 3D scene editing have been profoundly transformed, owing to the use of strong priors of text-to-image diffusion models in 3D generative modeling. Existing methods are mostly effective in editing 3D scenes via style and appearance changes or removing existing objects. Generating new objects, however, remains a challenge for such methods, which we address in this study. Specifically, we propose grounding the 3D object insertion to a 2D object insertion in a reference view of the scene. The 2D edit is then lifted to 3D using a single-view object reconstruction method. The reconstructed object is then inserted into the scene, guided by the priors of monocular depth estimation methods. We evaluate our method on various 3D scenes and provide an in-depth analysis of the proposed components. Our experiments with generative insertion of objects in several 3D scenes indicate the effectiveness of our method compared to the existing methods. InseRF is capable of controllable and 3D-consistent object insertion without requiring explicit 3D information as input. Please visit our project page at https://mohamad-shahbazi.github.io/inserf.
Published: 2024

40. Absorption Troughs of Lyman Alpha Emitters in HETDEX

Author: Weiss, Laurel H., Davis, Dustin, Gebhardt, Karl, Gazagnes, Simon, Khanlari, Mahan Mirza, Cooper, Erin Mentuch, Chisholm, John, Berg, Danielle, Bowman, William P., Byrohl, Chris, Ciardullo, Robin, Fabricius, Maximilian, Farrow, Daniel, Gronwall, Caryl, Hill, Gary J., House, Lindsay R., Jeong, Donghui, Khoraminezhad, Hasti, Kollatschny, Wolfram, Komatsu, Eiichiro, Niemeyer, Maja Lujan, Saito, Shun, Schneider, Donald P., and Zeimann, Gregory R.
Subjects: Astrophysics - Astrophysics of Galaxies
Abstract: The Hobby-Eberly Telescope Dark Energy Experiment (HETDEX) is designed to detect and measure the redshifts of more than one million Ly$\alpha$ emitting galaxies (LAEs) between $1.88 < z < 3.52$. In addition to its cosmological measurements, these data enable studies of Ly$\alpha$ spectral profiles and the underlying radiative transfer. Using the roughly half a million LAEs in the HETDEX Data Release 3, we stack various subsets to obtain the typical Ly$\alpha$ profile for the $z \sim 2-3$ epoch and to understand their physical properties. We find clear absorption wings around Ly$\alpha$ emission, which extend $\sim 2000$ km $\mathrm{s}^{-1}$ both redward and blueward of the central line. Using far-UV spectra of nearby ($0.002 < z < 0.182$) LAEs in the CLASSY treasury and optical/near-IR spectra of $2.8 < z < 6.7$ LAEs in the MUSE-Wide survey, we observe absorption profiles in both redshift regimes. Dividing the sample by volume density shows that the troughs increase in higher density regions. This trend suggests that the depth of the absorption is dependent on the local density of objects near the LAE, a geometry that is similar to damped Lyman-$\alpha$ systems. Simple simulations of Ly$\alpha$ radiative transfer can produce similar troughs due to absorption of light from background sources by HI gas surrounding the LAEs., Comment: 15 pages, 10 figures, accepted for publication in The Astrophysical Journal
Published: 2024

41. UniSDF: Unifying Neural Representations for High-Fidelity 3D Reconstruction of Complex Scenes with Reflections

Author: Wang, Fangjinhua, Rakotosaona, Marie-Julie, Niemeyer, Michael, Szeliski, Richard, Pollefeys, Marc, and Tombari, Federico
Subjects: Computer Science - Computer Vision and Pattern Recognition
Abstract: Neural 3D scene representations have shown great potential for 3D reconstruction from 2D images. However, reconstructing real-world captures of complex scenes still remains a challenge. Existing generic 3D reconstruction methods often struggle to represent fine geometric details and do not adequately model reflective surfaces of large-scale scenes. Techniques that explicitly focus on reflective surfaces can model complex and detailed reflections by exploiting better reflection parameterizations. However, we observe that these methods are often not robust in real scenarios where non-reflective as well as reflective components are present. In this work, we propose UniSDF, a general purpose 3D reconstruction method that can reconstruct large complex scenes with reflections. We investigate both camera view as well as reflected view-based color parameterization techniques and find that explicitly blending these representations in 3D space enables reconstruction of surfaces that are more geometrically accurate, especially for reflective surfaces. We further combine this representation with a multi-resolution grid backbone that is trained in a coarse-to-fine manner, enabling faster reconstructions than prior methods. Extensive experiments on object-level datasets DTU, Shiny Blender as well as unbounded datasets Mip-NeRF 360 and Ref-NeRF real demonstrate that our method is able to robustly reconstruct complex large-scale scenes with fine details and reflective surfaces, leading to the best overall performance. Project page: \url{https://fangjinhuawang.github.io/UniSDF}., Comment: NeurIPS 2024 camera ready
Published: 2023

42. A Fully Explicit Integrator for Modeling Astrophysical Reactive Flows

Author: Johnson, Parker, Zingale, Michael, Johnson, Eric T., Smith, Alexander, and Niemeyer, Kyle E.
Subjects: Astrophysics - Instrumentation and Methods for Astrophysics
Abstract: Simulating complex astrophysical reacting flows is computationally expensive -- reactions are stiff and typically require implicit integration methods. The reaction update is often the most expensive part of a simulation, which motivates the exploration of more economical methods. In this research note, we investigate how the explicit Runge--Kutta--Chebyshev (RKC) method performs compared to an implicit method when applied to astrophysical reactive flows. These integrators are applied to simulations of X-ray bursts arising from unstable thermonuclear burning of accreted fuel on the surface of neutron stars. We show that the RKC method performs with similar accuracy to our traditional implicit integrator, but is more computationally efficient when run on CPUs., Comment: accepted to RNAAS
Published: 2023

43. Triplet Excitation-Energy Transfer Couplings from Subsystem Time-Dependent Density-Functional Theory

Author: Käfer, Sabine, Niemeyer, Niklas, Tölle, Johannes, and Neugebauer, Johannes
Subjects: Physics - Chemical Physics, Physics - Computational Physics
Abstract: We present an implementation of Triplet Excitation-Energy Transfer (TEET) couplings based on subsystem-based Time-Dependent Density-Functional Theory (sTDDFT). TEET couplings are systematically investigated by comparing "exact" and approximate variants of sTDDFT. We demonstrate that, while sTDDFT utilizing explicit approximate Non-Additive Kinetic Energy (NAKE) density functionals is well-suited for describing Singlet Excitation-Energy Transfer (SEET) processes, it is inadequate for characterizing TEET. However, we show that Projection-based Embedding (PbE)-based sTDDFT addresses the challenges faced by NAKE-sTDDFT and emerges as a promising method for accurately describing electronic couplings in TEET processes. We also introduce the mixed PbE-/NAKE-embedding procedure to investigate TEET effects in solvated pairs of chromophores. This approach offers a good balance between accuracy and efficiency, enabling comprehensive studies of TEET processes in complex environments.
Published: 2023

44. Bipartite $q$-Kneser graphs and two-generated irreducible linear groups

Author: Glasby, S. P., Niemeyer, Alice C., and Praeger, Cheryl E.
Subjects: Mathematics - Group Theory, Mathematics - Combinatorics, 05C50, 20C30, 20-08, 05C35
Abstract: Let $V:=(\mathbb{F}_q)^d$ be a $d$-dimensional vector space over the field $\mathbb{F}_q$ of order $q$. Fix positive integers $e_1,e_2$ satisfying $e_1+e_2=d$. Motivated by analysing a fundamental algorithm in computational group theory for recognising classical groups, we consider a certain quantity $P(e_1,e_2)$ which arises in both graph theory and group representation theory: $P(e_1,e_2)$ is the proportion of $3$-walks in the `bipartite $q$-Kneser graph' $\Gamma_{e_1,e_2}$ that are closed $3$-arcs. We prove that, for a group $G$ satisfying ${\rm SL}_d(q)\leqslant G\leqslant{\rm GL}_d(q)$, the proportion of certain element-pairs in $G$ called `$(e_1,e_2)$-stingray duos' which generate an irreducible subgroup is also equal to $P(e_1,e_2)$. We give an exact formula for $P(e_1,e_2)$, and prove that $1-q^{-1}-q^{-2}< P(e_1,e_2)< 1-q^{-1}-q^{-2}+2q^{-3}-2q^{-5}$ for $2\leqslant e_2\leqslant e_1$ and $q\geqslant2$.These bounds have implications for the complexity analysis of the state-of-the-art algorithms to recognise classical groups, which we discuss in the final section., Comment: 23 pages, 1 figure, includes referee suggestions
Published: 2023

45. Mechanical Comparison of Arrangement Strategies for Topological Interlocking Assemblies

Author: Goertzen, Tom, Macek, Domen, Schnelle, Lukas, Weiß, Meike, Reese, Stefanie, Holthusen, Hagen, and Niemeyer, Alice C.
Subjects: Computer Science - Computational Engineering, Finance, and Science, Mathematics - Combinatorics
Abstract: Topological Interlocking assemblies are arrangements of blocks kinematically constrained by a fixed frame, such that all rigid body motions of each block are constrained only by its permanent contact with other blocks and the frame. In the literature several blocks are introduced that can be arranged into different interlocking assemblies. In this study we investigate the influence of arrangement on the overall structural behaviour of the resulting interlocking assemblies. This is performed using the Versatile Block, as it can be arranged in three different doubly periodic ways given by wallpaper symmetries. Our focus lies on the load transfer mechanisms from the assembly onto the frame. For fast a priori evaluation of the assemblies we introduce a combinatorial model called Interlocking Flows. To investigate our assemblies from a mechanical point of view we conduct several finite element studies. These reveal a strong influence of arrangement on the structural behaviour, for instance, an impact on both the point and amount of maximum deflection. The results of the finite element analysis are in very good agreement with the predictions of the Interlocking Flow model. Our source code, data and examples are available under https://doi.org/10.5281/zenodo.10246034.
Published: 2023

46. Measurement of tt¯s production in association with additional b-jets in the eμ final state in proton–proton collisions at tt¯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. S., 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., Amperiadou, D., 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. 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., 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. S., Bimgdi, Y., Bindi, M., Bingul, A., Bini, C., Bird, G. A., Birman, M., Biros, M., Biryukov, S., Bisanz, T., Bisceglie, E., Biswal, J. P., Biswas, D., Bloch, I., Blue, A., Blumenschein, U., Blumenthal, J., Bobrovnikov, V. S., Boehler, M., Boehm, B., Bogavac, D., Bogdanchikov, A. G., Boggia, L. S., Bohm, C., Boisvert, V., Bokan, P., Bold, T., Bomben, M., Bona, M., Boonekamp, M., Booth, C. D., Borbély, A. G., Bordulev, I. S., Borissov, G., Bortoletto, D., Boscherini, D., Bosman, M., Bossio Sola, J. D., Bouaouda, K., Bouchhar, N., Boudet, L., Boudreau, J., Bouhova-Thacker, E. V., Boumediene, D., Bouquet, R., Boveia, A., Boyd, J., Boye, D., Boyko, I. R., Bozianu, L., Bracinik, J., Brahimi, N., Brandt, G., Brandt, O., Braren, F., Brau, B., Brau, J. E., Brener, R., Brenner, L., Brenner, R., Bressler, S., Brianti, G., Britton, D., Britzger, D., Brock, I., Brock, R., Brooijmans, G., Brooks, E. M., Brost, E., Brown, L. M., Bruce, L. E., Bruckler, T. L., Bruckman de Renstrom, P. A., Brüers, B., Bruni, A., Bruni, G., Bruschi, M., Bruscino, N., Buanes, T., Buat, Q., Buchin, D., Buckley, A. G., Bulekov, O., Bullard, B. A., Burdin, S., Burgard, C. D., Burger, A. M., Burghgrave, B., Burlayenko, O., Burleson, J., Burr, J. T. P., Burzynski, J. C., Busch, E. L., Büscher, V., Bussey, P. J., Butler, J. M., Buttar, C. M., Butterworth, J. M., Buttinger, W., Buxo Vazquez, C. J., Buzykaev, A. R., Cabrera Urbán, S., Cadamuro, L., Caforio, D., Cai, H., Cai, Y., Cai, Y., Cairo, V. M. M., Cakir, O., Calace, N., Calafiura, P., Calderini, G., Calfayan, P., Callea, G., Caloba, L. P., Calvet, D., Calvet, S., Calvetti, M., Camacho Toro, R., Camarda, S., Camarero Munoz, D., Camarri, P., Camerlingo, M. T., Cameron, D., Camincher, C., Campanelli, M., Camplani, A., Canale, V., Canbay, A. C., Canonero, E., Cantero, J., Cao, Y., Capocasa, F., Capua, M., Carbone, A., Cardarelli, R., Cardenas, J. C. J., Carducci, G., Carli, T., Carlino, G., Carlotto, J. I., Carlson, B. T., Carlson, E. 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Published: 2025
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47. Search for diphoton resonances in the 66 to 110 GeV mass range using pp collisions at s = 13 TeV with the ATLAS detector

Author: Aad, G., 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., Aranzabal, N., 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., Assahsah, J., 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., 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., Barranco Navarro, L., 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., Batley, J. 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Published: 2025
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48. Search for supersymmetry using vector boson fusion signatures and missing transverse momentum in pp 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., Aggarwal, A., Agheorghiesei, C., Ahmadov, F., 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. S., 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., Amperiadou, D., 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., Atmani, H., Atmasiddha, P. A., Augsten, K., Auriol, A. D., Austrup, V. 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Published: 2024
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49. Search for a light CP-odd Higgs boson decaying into a pair of τ-leptons 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., Aggarwal, A., Agheorghiesei, C., Ahmadov, F., 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. S., 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., Amperiadou, D., An, S., Ananiev, V., Anastopoulos, C., Andeen, T., Anders, J. K., Anderson, A. C., 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., Atmani, H., Atmasiddha, P. A., Augsten, K., Auriol, A. D., Austrup, V. 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Published: 2024
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50. Using pile-up collisions as an abundant source of low-energy hadronic physics processes in ATLAS and an extraction of the jet energy resolution

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. S., 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., Amperiadou, D., 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., Bachmann, E., 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. 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., 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. S., Bimgdi, Y., Bindi, M., Bingul, A., Bini, C., Bird, G. A., Birman, M., Biros, M., Biryukov, S., Bisanz, T., Bisceglie, E., Biswal, J. P., Biswas, D., Bloch, I., Blue, A., Blumenschein, U., Blumenthal, J., Bobrovnikov, V. S., Boehler, M., Boehm, B., Bogavac, D., Bogdanchikov, A. G., Boggia, L. S., Bohm, C., Boisvert, V., Bokan, P., Bold, T., Bomben, M., Bona, M., Boonekamp, M., Booth, C. D., Borbély, A. G., Bordulev, I. S., Borissov, G., Bortoletto, D., Boscherini, D., Bosman, M., Bossio Sola, J. D., Bouaouda, K., Bouchhar, N., Boudet, L., Boudreau, J., Bouhova-Thacker, E. V., Boumediene, D., Bouquet, R., Boveia, A., Boyd, J., Boye, D., Boyko, I. R., Bozianu, L., Bracinik, J., Brahimi, N., Brandt, G., Brandt, O., Braren, F., Brau, B., Brau, J. E., Brener, R., Brenner, L., Brenner, R., Bressler, S., Brianti, G., Britton, D., Britzger, D., Brock, I., Brock, R., Brooijmans, G., Brooks, E. M., Brost, E., Brown, L. M., Bruce, L. E., Bruckler, T. L., Bruckman de Renstrom, P. 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R., Simsek, S., Sindhu, S., Sinervo, P., Singh, S., Sinha, S., Sinha, S., Sioli, M., Siral, I., Sitnikova, E., Sjölin, J., Skaf, A., Skorda, E., Skubic, P., Slawinska, M., Smakhtin, V., Smart, B. H., Smirnov, S. Yu., Smirnov, Y., Smirnova, L. N., Smirnova, O., Smith, A. C., Smith, D. R., Smith, E. A., Smith, J. L., Smith, R., Smizanska, M., Smolek, K., Snesarev, A. A., Snoek, H. L., Snyder, S., Sobie, R., Soffer, A., Solans Sanchez, C. A., Soldatov, E. Yu., Soldevila, U., Solodkov, A. A., Solomon, S., Soloshenko, A., Solovieva, K., Solovyanov, O. V., Sommer, P., Sonay, A., Song, W. Y., Sopczak, A., Sopio, A. L., Sopkova, F., Sorenson, J. D., Sotarriva Alvarez, I. R., Sothilingam, V., Soto Sandoval, O. J., Sottocornola, S., Soualah, R., Soumaimi, Z., South, D., Soybelman, N., Spagnolo, S., Spalla, M., Sperlich, D., Spigo, G., Spisso, B., Spiteri, D. P., Spousta, M., Staats, E. J., Stamen, R., Stampekis, A., Stanecka, E., Stanek-Maslouska, W., Stange, M. 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R., Van Der Graaf, A., Van Gemmeren, P., Van Rijnbach, M., Van Stroud, S., Van Vulpen, I., Vana, P., Vanadia, M., Vande Voorde, U. M., Vandelli, W., Vandewall, E. R., Vannicola, D., Vannoli, L., Vari, R., Varnes, E. W., Varni, C., Varol, T., Varouchas, D., Varriale, L., Varvell, K. E., Vasile, M. E., Vaslin, L., Vasquez, G. A., Vasyukov, A., Vaughan, L. M., Vavricka, R., Vazquez Schroeder, T., Veatch, J., Vecchio, V., Veen, M. J., Veliscek, I., Veloce, L. M., Veloso, F., Veneziano, S., Ventura, A., Ventura Gonzalez, S., Verbytskyi, A., Verducci, M., Vergis, C., Verissimo De Araujo, M., Verkerke, W., Vermeulen, J. C., Vernieri, C., Vessella, M., Vetterli, M. C., Vgenopoulos, A., Viaux Maira, N., Vickey, T., Vickey Boeriu, O. E., Viehhauser, G. H. A., Vigani, L., Vigl, M., Villa, M., Villaplana Perez, M., Villhauer, E. M., Vilucchi, E., Vincter, M. G., Visibile, A., Vittori, C., Vivarelli, I., Voevodina, E., Vogel, F., Voigt, J. 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G., Zhu, J., Zhu, X., 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.
Published: 2024
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