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1. Evaluating representation learning on the protein structure universe

Author: Jamasb, Arian R., Morehead, Alex, Joshi, Chaitanya K., Zhang, Zuobai, Didi, Kieran, Mathis, Simon V., Harris, Charles, Tang, Jian, Cheng, Jianlin, Lio, Pietro, and Blundell, Tom L.
Subjects: Computer Science - Machine Learning, Quantitative Biology - Biomolecules
Abstract: We introduce ProteinWorkshop, a comprehensive benchmark suite for representation learning on protein structures with Geometric Graph Neural Networks. We consider large-scale pre-training and downstream tasks on both experimental and predicted structures to enable the systematic evaluation of the quality of the learned structural representation and their usefulness in capturing functional relationships for downstream tasks. We find that: (1) large-scale pretraining on AlphaFold structures and auxiliary tasks consistently improve the performance of both rotation-invariant and equivariant GNNs, and (2) more expressive equivariant GNNs benefit from pretraining to a greater extent compared to invariant models. We aim to establish a common ground for the machine learning and computational biology communities to rigorously compare and advance protein structure representation learning. Our open-source codebase reduces the barrier to entry for working with large protein structure datasets by providing: (1) storage-efficient dataloaders for large-scale structural databases including AlphaFoldDB and ESM Atlas, as well as (2) utilities for constructing new tasks from the entire PDB. ProteinWorkshop is available at: github.com/a-r-j/ProteinWorkshop., Comment: ICLR 2024
Published: 2024

2. RNA-FrameFlow: Flow Matching for de novo 3D RNA Backbone Design

Author: Anand, Rishabh, Joshi, Chaitanya K., Morehead, Alex, Jamasb, Arian R., Harris, Charles, Mathis, Simon V., Didi, Kieran, Hooi, Bryan, and Liò, Pietro
Subjects: Quantitative Biology - Biomolecules, Computer Science - Machine Learning, Quantitative Biology - Genomics
Abstract: We introduce RNA-FrameFlow, the first generative model for 3D RNA backbone design. We build upon SE(3) flow matching for protein backbone generation and establish protocols for data preparation and evaluation to address unique challenges posed by RNA modeling. We formulate RNA structures as a set of rigid-body frames and associated loss functions which account for larger, more conformationally flexible RNA backbones (13 atoms per nucleotide) vs. proteins (4 atoms per residue). Toward tackling the lack of diversity in 3D RNA datasets, we explore training with structural clustering and cropping augmentations. Additionally, we define a suite of evaluation metrics to measure whether the generated RNA structures are globally self-consistent (via inverse folding followed by forward folding) and locally recover RNA-specific structural descriptors. The most performant version of RNA-FrameFlow generates locally realistic RNA backbones of 40-150 nucleotides, over 40% of which pass our validity criteria as measured by a self-consistency TM-score >= 0.45, at which two RNAs have the same global fold. Open-source code: https://github.com/rish-16/rna-backbone-design, Comment: To be presented as an Oral at ICML 2024 Structured Probabilistic Inference & Generative Modeling Workshop, and a Spotlight at ICML 2024 AI4Science Workshop
Published: 2024

3. Improving Antibody Design with Force-Guided Sampling in Diffusion Models

Author: Kulytė, Paulina, Vargas, Francisco, Mathis, Simon Valentin, Wang, Yu Guang, Hernández-Lobato, José Miguel, and Liò, Pietro
Subjects: Quantitative Biology - Quantitative Methods, Computer Science - Machine Learning, Quantitative Biology - Biomolecules
Abstract: Antibodies, crucial for immune defense, primarily rely on complementarity-determining regions (CDRs) to bind and neutralize antigens, such as viruses. The design of these CDRs determines the antibody's affinity and specificity towards its target. Generative models, particularly denoising diffusion probabilistic models (DDPMs), have shown potential to advance the structure-based design of CDR regions. However, only a limited dataset of bound antibody-antigen structures is available, and generalization to out-of-distribution interfaces remains a challenge. Physics based force-fields, which approximate atomic interactions, offer a coarse but universal source of information to better mold designs to target interfaces. Integrating this foundational information into diffusion models is, therefore, highly desirable. Here, we propose a novel approach to enhance the sampling process of diffusion models by integrating force field energy-based feedback. Our model, DiffForce, employs forces to guide the diffusion sampling process, effectively blending the two distributions. Through extensive experiments, we demonstrate that our method guides the model to sample CDRs with lower energy, enhancing both the structure and sequence of the generated antibodies.
Published: 2024

4. DEFT: Efficient Fine-Tuning of Diffusion Models by Learning the Generalised $h$-transform

Author: Denker, Alexander, Vargas, Francisco, Padhy, Shreyas, Didi, Kieran, Mathis, Simon, Dutordoir, Vincent, Barbano, Riccardo, Mathieu, Emile, Komorowska, Urszula Julia, and Lio, Pietro
Subjects: Computer Science - Machine Learning
Abstract: Generative modelling paradigms based on denoising diffusion processes have emerged as a leading candidate for conditional sampling in inverse problems. In many real-world applications, we often have access to large, expensively trained unconditional diffusion models, which we aim to exploit for improving conditional sampling. Most recent approaches are motivated heuristically and lack a unifying framework, obscuring connections between them. Further, they often suffer from issues such as being very sensitive to hyperparameters, being expensive to train or needing access to weights hidden behind a closed API. In this work, we unify conditional training and sampling using the mathematically well-understood Doob's h-transform. This new perspective allows us to unify many existing methods under a common umbrella. Under this framework, we propose DEFT (Doob's h-transform Efficient FineTuning), a new approach for conditional generation that simply fine-tunes a very small network to quickly learn the conditional $h$-transform, while keeping the larger unconditional network unchanged. DEFT is much faster than existing baselines while achieving state-of-the-art performance across a variety of linear and non-linear benchmarks. On image reconstruction tasks, we achieve speedups of up to 1.6$\times$, while having the best perceptual quality on natural images and reconstruction performance on medical images. Further, we also provide initial experiments on protein motif scaffolding and outperform reconstruction guidance methods., Comment: arXiv admin note: text overlap with arXiv:2312.09236
Published: 2024

5. A framework for conditional diffusion modelling with applications in motif scaffolding for protein design

Author: Didi, Kieran, Vargas, Francisco, Mathis, Simon V, Dutordoir, Vincent, Mathieu, Emile, Komorowska, Urszula J, and Lio, Pietro
Subjects: Computer Science - Machine Learning, Quantitative Biology - Biomolecules
Abstract: Many protein design applications, such as binder or enzyme design, require scaffolding a structural motif with high precision. Generative modelling paradigms based on denoising diffusion processes emerged as a leading candidate to address this motif scaffolding problem and have shown early experimental success in some cases. In the diffusion paradigm, motif scaffolding is treated as a conditional generation task, and several conditional generation protocols were proposed or imported from the Computer Vision literature. However, most of these protocols are motivated heuristically, e.g. via analogies to Langevin dynamics, and lack a unifying framework, obscuring connections between the different approaches. In this work, we unify conditional training and conditional sampling procedures under one common framework based on the mathematically well-understood Doob's h-transform. This new perspective allows us to draw connections between existing methods and propose a new variation on existing conditional training protocols. We illustrate the effectiveness of this new protocol in both, image outpainting and motif scaffolding and find that it outperforms standard methods., Comment: 9 pages
Published: 2023

6. A Hitchhiker's Guide to Geometric GNNs for 3D Atomic Systems

Author: Duval, Alexandre, Mathis, Simon V., Joshi, Chaitanya K., Schmidt, Victor, Miret, Santiago, Malliaros, Fragkiskos D., Cohen, Taco, Liò, Pietro, Bengio, Yoshua, and Bronstein, Michael
Subjects: Computer Science - Machine Learning, Computer Science - Artificial Intelligence, Quantitative Biology - Quantitative Methods, Statistics - Machine Learning
Abstract: Recent advances in computational modelling of atomic systems, spanning molecules, proteins, and materials, represent them as geometric graphs with atoms embedded as nodes in 3D Euclidean space. In these graphs, the geometric attributes transform according to the inherent physical symmetries of 3D atomic systems, including rotations and translations in Euclidean space, as well as node permutations. In recent years, Geometric Graph Neural Networks have emerged as the preferred machine learning architecture powering applications ranging from protein structure prediction to molecular simulations and material generation. Their specificity lies in the inductive biases they leverage - such as physical symmetries and chemical properties - to learn informative representations of these geometric graphs. In this opinionated paper, we provide a comprehensive and self-contained overview of the field of Geometric GNNs for 3D atomic systems. We cover fundamental background material and introduce a pedagogical taxonomy of Geometric GNN architectures: (1) invariant networks, (2) equivariant networks in Cartesian basis, (3) equivariant networks in spherical basis, and (4) unconstrained networks. Additionally, we outline key datasets and application areas and suggest future research directions. The objective of this work is to present a structured perspective on the field, making it accessible to newcomers and aiding practitioners in gaining an intuition for its mathematical abstractions.
Published: 2023

7. Evaluating Zero-Shot Scoring for In Vitro Antibody Binding Prediction with Experimental Validation

Author: Nori, Divya, Mathis, Simon V., and Shanehsazzadeh, Amir
Subjects: Quantitative Biology - Quantitative Methods, Computer Science - Artificial Intelligence, Quantitative Biology - Biomolecules
Abstract: The success of therapeutic antibodies relies on their ability to selectively bind antigens. AI-based antibody design protocols have shown promise in generating epitope-specific designs. Many of these protocols use an inverse folding step to generate diverse sequences given a backbone structure. Due to prohibitive screening costs, it is key to identify candidate sequences likely to bind in vitro. Here, we compare the efficacy of 8 common scoring paradigms based on open-source models to classify antibody designs as binders or non-binders. We evaluate these approaches on a novel surface plasmon resonance (SPR) dataset, spanning 5 antigens. Our results show that existing methods struggle to detect binders, and performance is highly variable across antigens. We find that metrics computed on flexibly docked antibody-antigen complexes are more robust, and ensembles scores are more consistent than individual metrics. We provide experimental insight to analyze current scoring techniques, highlighting that the development of robust, zero-shot filters is an important research gap.
Published: 2023

8. DiffHopp: A Graph Diffusion Model for Novel Drug Design via Scaffold Hopping

Author: Torge, Jos, Harris, Charles, Mathis, Simon V., and Lio, Pietro
Subjects: Quantitative Biology - Biomolecules
Abstract: Scaffold hopping is a drug discovery strategy to generate new chemical entities by modifying the core structure, the \emph{scaffold}, of a known active compound. This approach preserves the essential molecular features of the original scaffold while introducing novel chemical elements or structural features to enhance potency, selectivity, or bioavailability. However, there is currently a lack of generative models specifically tailored for this task, especially in the pocket-conditioned context. In this work, we present DiffHopp, a conditional E(3)-equivariant graph diffusion model tailored for scaffold hopping given a known protein-ligand complex.
Published: 2023

9. Benchmarking Generated Poses: How Rational is Structure-based Drug Design with Generative Models?

Author: Harris, Charles, Didi, Kieran, Jamasb, Arian R., Joshi, Chaitanya K., Mathis, Simon V., Lio, Pietro, and Blundell, Tom
Subjects: Quantitative Biology - Biomolecules
Abstract: Deep generative models for structure-based drug design (SBDD), where molecule generation is conditioned on a 3D protein pocket, have received considerable interest in recent years. These methods offer the promise of higher-quality molecule generation by explicitly modelling the 3D interaction between a potential drug and a protein receptor. However, previous work has primarily focused on the quality of the generated molecules themselves, with limited evaluation of the 3D molecule \emph{poses} that these methods produce, with most work simply discarding the generated pose and only reporting a "corrected" pose after redocking with traditional methods. Little is known about whether generated molecules satisfy known physical constraints for binding and the extent to which redocking alters the generated interactions. We introduce PoseCheck, an extensive analysis of multiple state-of-the-art methods and find that generated molecules have significantly more physical violations and fewer key interactions compared to baselines, calling into question the implicit assumption that providing rich 3D structure information improves molecule complementarity. We make recommendations for future research tackling identified failure modes and hope our benchmark can serve as a springboard for future SBDD generative modelling work to have a real-world impact.
Published: 2023

10. Artificial Intelligence for Science in Quantum, Atomistic, and Continuum Systems

Author: Zhang, Xuan, Wang, Limei, Helwig, Jacob, Luo, Youzhi, Fu, Cong, Xie, Yaochen, Liu, Meng, Lin, Yuchao, Xu, Zhao, Yan, Keqiang, Adams, Keir, Weiler, Maurice, Li, Xiner, Fu, Tianfan, Wang, Yucheng, Yu, Haiyang, Xie, YuQing, Fu, Xiang, Strasser, Alex, Xu, Shenglong, Liu, Yi, Du, Yuanqi, Saxton, Alexandra, Ling, Hongyi, Lawrence, Hannah, Stärk, Hannes, Gui, Shurui, Edwards, Carl, Gao, Nicholas, Ladera, Adriana, Wu, Tailin, Hofgard, Elyssa F., Tehrani, Aria Mansouri, Wang, Rui, Daigavane, Ameya, Bohde, Montgomery, Kurtin, Jerry, Huang, Qian, Phung, Tuong, Xu, Minkai, Joshi, Chaitanya K., Mathis, Simon V., Azizzadenesheli, Kamyar, Fang, Ada, Aspuru-Guzik, Alán, Bekkers, Erik, Bronstein, Michael, Zitnik, Marinka, Anandkumar, Anima, Ermon, Stefano, Liò, Pietro, Yu, Rose, Günnemann, Stephan, Leskovec, Jure, Ji, Heng, Sun, Jimeng, Barzilay, Regina, Jaakkola, Tommi, Coley, Connor W., Qian, Xiaoning, Qian, Xiaofeng, Smidt, Tess, and Ji, Shuiwang
Subjects: Computer Science - Machine Learning, Physics - Computational Physics
Abstract: Advances in artificial intelligence (AI) are fueling a new paradigm of discoveries in natural sciences. Today, AI has started to advance natural sciences by improving, accelerating, and enabling our understanding of natural phenomena at a wide range of spatial and temporal scales, giving rise to a new area of research known as AI for science (AI4Science). Being an emerging research paradigm, AI4Science is unique in that it is an enormous and highly interdisciplinary area. Thus, a unified and technical treatment of this field is needed yet challenging. This work aims to provide a technically thorough account of a subarea of AI4Science; namely, AI for quantum, atomistic, and continuum systems. These areas aim at understanding the physical world from the subatomic (wavefunctions and electron density), atomic (molecules, proteins, materials, and interactions), to macro (fluids, climate, and subsurface) scales and form an important subarea of AI4Science. A unique advantage of focusing on these areas is that they largely share a common set of challenges, thereby allowing a unified and foundational treatment. A key common challenge is how to capture physics first principles, especially symmetries, in natural systems by deep learning methods. We provide an in-depth yet intuitive account of techniques to achieve equivariance to symmetry transformations. We also discuss other common technical challenges, including explainability, out-of-distribution generalization, knowledge transfer with foundation and large language models, and uncertainty quantification. To facilitate learning and education, we provide categorized lists of resources that we found to be useful. We strive to be thorough and unified and hope this initial effort may trigger more community interests and efforts to further advance AI4Science.
Published: 2023

11. Predicting protein variants with equivariant graph neural networks

Author: Boca, Antonia and Mathis, Simon
Subjects: Computer Science - Machine Learning, Quantitative Biology - Biomolecules
Abstract: Pre-trained models have been successful in many protein engineering tasks. Most notably, sequence-based models have achieved state-of-the-art performance on protein fitness prediction while structure-based models have been used experimentally to develop proteins with enhanced functions. However, there is a research gap in comparing structure- and sequence-based methods for predicting protein variants that are better than the wildtype protein. This paper aims to address this gap by conducting a comparative study between the abilities of equivariant graph neural networks (EGNNs) and sequence-based approaches to identify promising amino-acid mutations. The results show that our proposed structural approach achieves a competitive performance to sequence-based methods while being trained on significantly fewer molecules. Additionally, we find that combining assay labelled data with structure pre-trained models yields similar trends as with sequence pre-trained models. Our code and trained models can be found at: https://github.com/semiluna/partIII-amino-acid-prediction., Comment: 4 pages, 2 figures, accepted to the 2023 ICML Workshop on Computational Biology
Published: 2023

12. gRNAde: Geometric Deep Learning for 3D RNA inverse design

Author: Joshi, Chaitanya K., Jamasb, Arian R., Viñas, Ramon, Harris, Charles, Mathis, Simon V., Morehead, Alex, Anand, Rishabh, and Liò, Pietro
Subjects: Computer Science - Machine Learning, Quantitative Biology - Biomolecules, Quantitative Biology - Quantitative Methods
Abstract: Computational RNA design tasks are often posed as inverse problems, where sequences are designed based on adopting a single desired secondary structure without considering 3D geometry and conformational diversity. We introduce gRNAde, a geometric RNA design pipeline operating on 3D RNA backbones to design sequences that explicitly account for structure and dynamics. Under the hood, gRNAde is a multi-state Graph Neural Network that generates candidate RNA sequences conditioned on one or more 3D backbone structures where the identities of the bases are unknown. On a single-state fixed backbone re-design benchmark of 14 RNA structures from the PDB identified by Das et al. [2010], gRNAde obtains higher native sequence recovery rates (56% on average) compared to Rosetta (45% on average), taking under a second to produce designs compared to the reported hours for Rosetta. We further demonstrate the utility of gRNAde on a new benchmark of multi-state design for structurally flexible RNAs, as well as zero-shot ranking of mutational fitness landscapes in a retrospective analysis of a recent ribozyme. Open source code: https://github.com/chaitjo/geometric-rna-design, Comment: Previously titled 'Multi-State RNA Design with Geometric Multi-Graph Neural Networks', presented at ICML 2023 Computational Biology Workshop
Published: 2023

13. On the Expressive Power of Geometric Graph Neural Networks

Author: Joshi, Chaitanya K., Bodnar, Cristian, Mathis, Simon V., Cohen, Taco, and Liò, Pietro
Subjects: Computer Science - Machine Learning, Mathematics - Group Theory, Statistics - Machine Learning
Abstract: The expressive power of Graph Neural Networks (GNNs) has been studied extensively through the Weisfeiler-Leman (WL) graph isomorphism test. However, standard GNNs and the WL framework are inapplicable for geometric graphs embedded in Euclidean space, such as biomolecules, materials, and other physical systems. In this work, we propose a geometric version of the WL test (GWL) for discriminating geometric graphs while respecting the underlying physical symmetries: permutations, rotation, reflection, and translation. We use GWL to characterise the expressive power of geometric GNNs that are invariant or equivariant to physical symmetries in terms of distinguishing geometric graphs. GWL unpacks how key design choices influence geometric GNN expressivity: (1) Invariant layers have limited expressivity as they cannot distinguish one-hop identical geometric graphs; (2) Equivariant layers distinguish a larger class of graphs by propagating geometric information beyond local neighbourhoods; (3) Higher order tensors and scalarisation enable maximally powerful geometric GNNs; and (4) GWL's discrimination-based perspective is equivalent to universal approximation. Synthetic experiments supplementing our results are available at \url{https://github.com/chaitjo/geometric-gnn-dojo}, Comment: ICML 2023
Published: 2023

14. Thought experiments in a quantum computer

Author: Nurgalieva, Nuriya, Mathis, Simon, del Rio, Lídia, and Renner, Renato
Subjects: Quantum Physics
Abstract: We introduce a software package that allows users to design and run simulations of thought experiments in quantum theory. In particular, it covers cases where several reasoning agents are modelled as quantum systems, such as Wigner's friend experiment. Users can customize the protocol of the experiment, the inner workings of agents (including a quantum circuit that models their reasoning process), the abstract logical system used (which may or not allow agents to combine premises and make inferences about each other's reasoning), and the interpretation of quantum theory used by different agents. Our open-source software is written in a quantum programming language, ProjectQ, and runs on classical or quantum hardware. As an example, we model the Frauchiger-Renner extended Wigner's friend thought experiment, where agents are allowed to measure each other's physical memories, and make inferences about each other's reasoning., Comment: 18 + 10 pages
Published: 2022

15. Energy self-sufficient systems for monitoring sewer networks

Author: Mathis, Simon, Gruber, Juan-Mario, Ebi, Christian, Bloem, Simon, Rieckermann, Jörg, and Blumensaat, Frank
Subjects: Electrical Engineering and Systems Science - Systems and Control
Abstract: Underground infrastructure networks form the backbone of vital supply and disposal systems. However, they are under-monitored in comparison to their value. This is due, in large part, to the lack of energy supply for monitoring and data transmission. In this paper, we investigate a novel, energy harvesting system used to power underground sewer infrastructure monitoring networks. The system collects the required energy from ambient sources, such as temperature differences or residual light in sewer networks. A prototype was developed that could use either a thermoelectric generator (TEG) or a solar cell to capture the energy needed to acquire and transmit ultrasonic water level data via LoRaWAN. Real-world field trials were satisfactory and showed the potential power output, as well as, possibilities to improve the system. Using an extrapolation model, we proved that the developed solution could work reliably throughout the year., Comment: To be published in proceedings of the conference "21. ITG/GMA- Fachtagung Sensoren und Messsysteme 2022", 10.-11. Mai 2022, N\"urnberger CongressCenter, Nuremberg, Germany, or IEEE explore
Published: 2022

16. Incidence, risk factors and outcome of acute kidney injury in critically ill COVID-19 patients in Tyrol, Austria: a prospective multicenter registry study

Author: Mayerhöfer, Timo, Perschinka, Fabian, Klein, Sebastian J., Peer, Andreas, Lehner, Georg F., Bellmann, Romuald, Gasteiger, Lukas, Mittermayr, Markus, Breitkopf, Robert, Eschertzhuber, Stephan, Mathis, Simon, Fiala, Anna, Fries, Dietmar, Ströhle, Mathias, Foidl, Eva, Hasibeder, Walter, Helbok, Raimund, Kirchmair, Lukas, Stögermüller, Birgit, Krismer, Christoph, Heiner, Tatjana, Ladner, Eugen, Thomé, Claudius, Preuß-Hernandez, Christian, Mayr, Andreas, Potocnik, Miriam, Reitter, Bruno, Brunner, Jürgen, Zagitzer-Hofer, Stefanie, Ribitsch, Alexandra, and Joannidis, Michael
Published: 2023
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17. The effects of bolus compared to continuous administration of adrenaline on cerebral oxygenation during experimental cardiopulmonary resuscitation

Author: Wagner, Julian, Mathis, Simon, Spraider, Patrick, Abram, Julia, Baldauf, Stefanie, Pinggera, Daniel, Bauer, Marlies, Hell, Tobias, Tscholl, Pia, Glodny, Bernhard, Helbok, Raimund, Mair, Peter, Martini, Judith, and Putzer, Gabriel
Published: 2024
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18. Anästhesie bei organtransplantierten Patient:innen

Author: Fiala, Anna, Breitkopf, Robert, Sinner, Barbara, Mathis, Simon, and Martini, Judith
Published: 2023
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19. Gauge invariant quantum circuits for $U(1)$ and Yang-Mills lattice gauge theories

Author: Mazzola, Giulia, Mathis, Simon V., Mazzola, Guglielmo, and Tavernelli, Ivano
Subjects: Quantum Physics, High Energy Physics - Lattice
Abstract: Quantum computation represents an emerging framework to solve lattice gauge theories (LGT) with arbitrary gauge groups, a general and long-standing problem in computational physics. While quantum computers may encode LGT using only polynomially increasing resources, a major openissue concerns the violation of gauge-invariance during the dynamics and the search for groundstates. Here, we propose a new class of parametrized quantum circuits that can represent states belonging only to the physical sector of the total Hilbert space. This class of circuits is compact yet flexible enough to be used as a variational ansatz to study ground state properties, as well as representing states originating from a real-time dynamics. Concerning the first application, the structure of the wavefunction ansatz guarantees the preservation of physical constraints such as the Gauss law along the entire optimization process, enabling reliable variational calculations. As for the second application, this class of quantum circuits can be used in combination with timedependent variational quantum algorithms, thus drastically reducing the resource requirements to access dynamical properties., Comment: 16 pages, 13 figures, published version
Published: 2021
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20. Normothermic Machine Perfusion Reduces Transfusion Requirements Even After Static Cold Storage: A 1 y Retrospective Single-center Analysis

Author: Mathis, Simon, Putzer, Gabriel, Gasteiger, Lukas, Eschertzhuber, Stephan, Schneeberger, Stefan, Cardini, Benno, Hell, Tobias, and Martini, Judith
Published: 2024
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21. Interleukin-6 Levels During Normothermic Machine Perfusion Impact Postreperfusion Hemodynamics of Liver Graft Recipients: A Prospective Single-center Observational Study

Author: Mathis, Simon, Weissenbacher, Annemarie, Putzer, Gabriel, Gasteiger, Lukas, Cardini, Benno, Hell, Tobias, Schlosser, Lisa, Oberhuber, Rupert, Schneeberger, Stefan, and Martini, Judith
Published: 2024
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22. Toward scalable simulations of Lattice Gauge Theories on quantum computers

Author: Mathis, Simon V., Mazzola, Guglielmo, and Tavernelli, Ivano
Subjects: Quantum Physics, Condensed Matter - Statistical Mechanics, Condensed Matter - Strongly Correlated Electrons, High Energy Physics - Lattice
Abstract: The simulation of real-time dynamics in lattice gauge theories is particularly hard for classical computing due to the exponential scaling of the required resources. On the other hand, quantum algorithms can potentially perform the same calculation with a polynomial dependence on the number of degrees of freedom. A precise estimation is however particularly challenging for the simulation of lattice gauge theories in arbitrary dimensions, where, gauge fields are dynamical variables, in addition to the particle fields. Moreover, there exist several choices for discretizing particles and gauge fields on a lattice, each of them coming at different prices in terms of qubit register size and circuit depth. Here we provide a resource counting for real-time evolution of $U(1)$ gauge theories, such as Quantum Electrodynamics, on arbitrary dimension using the Wilson fermion representation for the particles, and the Quantum Link Model approach for the gauge fields. We study the phenomena of flux-string breaking up to a genuine bi-dimensional model using classical simulations of the quantum circuits, and discuss the advantages of our discretization choice in simulation of more challenging $SU(N)$ gauge theories such as Quantum Chromodynamics., Comment: 20 pages, 14 figures
Published: 2020
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23. Computational tools for assessing forest recovery with GEDI shots and forest change maps

Author: Holcomb, Amelia, Mathis, Simon V., Coomes, David A., and Keshav, Srinivasan
Published: 2023
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24. Interleukin-6 Levels During Normothermic Machine Perfusion Impact Postreperfusion Hemodynamics of Liver Graft Recipients: A Prospective Single-center Observational Study

Author: Mathis, Simon, Weissenbacher, Annemarie, Putzer, Gabriel, Gasteiger, Lukas, Cardini, Benno, Hell, Tobias, Schlosser, Lisa, Oberhuber, Rupert, Schneeberger, Stefan, and Martini, Judith
Published: 2023
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25. The impact of dexamethasone as a perineural additive to ropivacaine for PECS II blockade in patients undergoing unilateral radical mastectomy – A prospective, randomized, controlled and double-blinded trial

Author: Hoerner, Elisabeth, Gasteiger, Lukas, Ortler, Michael, Pustilnik, Vitaliy, Mathis, Simon, Brunner, Christine, Neururer, Sabrina, Schlager, Andreas, Egle, Daniel, and Putz, Guenther
Published: 2022
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26. Changes in characteristics and outcomes of critically ill COVID-19 patients in Tyrol (Austria) over 1 year

Author: Mayerhöfer, Timo, Klein, Sebastian J., Peer, Andreas, Perschinka, Fabian, Lehner, Georg F., Hasslacher, Julia, Bellmann, Romuald, Gasteiger, Lukas, Mittermayr, Markus, Eschertzhuber, Stephan, Mathis, Simon, Fiala, Anna, Fries, Dietmar, Kalenka, Armin, Foidl, Eva, Hasibeder, Walter, Helbok, Raimund, Kirchmair, Lukas, Stögermüller, Birgit, Krismer, Christoph, Heiner, Tatjana, Ladner, Eugen, Thomé, Claudius, Preuß-Hernandez, Christian, Mayr, Andreas, Pechlaner, Agnes, Potocnik, Miriam, Reitter, Bruno, Brunner, Jürgen, Zagitzer-Hofer, Stefanie, Ribitsch, Alexandra, and Joannidis, Michael
Published: 2021
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27. Individualised flow-controlled ventilation versus pressure-controlled ventilation in a porcine model of thoracic surgery requiring one-lung ventilation: A laboratory study

Author: Spraider, Patrick, Martini, Judith, Abram, Julia, Putzer, Gabriel, Ranalter, Manuela, Mathis, Simon, Hell, Tobias, Barnes, Tom, and Enk, Dietmar
Published: 2022
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28. 313.9: Perfusate IL-6 Levels During Liver NMP Might Be Predictive For Hemodynamic Response and Catecholamine Demand After Reperfusion in the Recipient

Author: Weissenbacher, Annemarie, Mathis, Simon, Cardini, Benno, Bogensperger, Christina, Putzer, Gabriel, Gasteiger, Lukas, Resch, Thomas, Oberhuber, Rupert, Öfner, Dietmar, Hell, Tobias J, Martini, Judith, and Schneeberger, Stefan
Published: 2022
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29. Microdroplet screening rapidly profiles a biocatalyst to enable its AI-assisted engineering

Author: Gantz, Maximilian, primary, Mathis, Simon V., additional, Nintzel, Friederike E. H., additional, Zurek, Paul J., additional, Knaus, Tanja, additional, Patel, Elie, additional, Boros, Daniel, additional, Weberling, Friedrich-Maximilian, additional, Kenneth, Matthew R. A., additional, Klein, Oskar J., additional, Medcalf, Elliot J., additional, Moss, Jacob, additional, Herger, Michael, additional, Kaminski, Tomasz S., additional, Mutti, Francesco G., additional, Lio, Pietro, additional, and Hollfelder, Florian, additional
Published: 2024
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30. DEFT: Efficient Finetuning of Conditional Diffusion Models by Learning the Generalised $h$-transform

Author: Denker, Alexander, Vargas, Francisco, Padhy, Shreyas, Didi, Kieran, Mathis, Simon, Dutordoir, Vincent, Barbano, Riccardo, Mathieu, Emile, Komorowska, Urszula Julia, Lio, Pietro, Denker, Alexander, Vargas, Francisco, Padhy, Shreyas, Didi, Kieran, Mathis, Simon, Dutordoir, Vincent, Barbano, Riccardo, Mathieu, Emile, Komorowska, Urszula Julia, and Lio, Pietro
Abstract: Generative modelling paradigms based on denoising diffusion processes have emerged as a leading candidate for conditional sampling in inverse problems. In many real-world applications, we often have access to large, expensively trained unconditional diffusion models, which we aim to exploit for improving conditional sampling. Most recent approaches are motivated heuristically and lack a unifying framework, obscuring connections between them. Further, they often suffer from issues such as being very sensitive to hyperparameters, being expensive to train or needing access to weights hidden behind a closed API. In this work, we unify conditional training and sampling using the mathematically well-understood Doob's h-transform. This new perspective allows us to unify many existing methods under a common umbrella. Under this framework, we propose DEFT (Doob's h-transform Efficient FineTuning), a new approach for conditional generation that simply fine-tunes a very small network to quickly learn the conditional $h$-transform, while keeping the larger unconditional network unchanged. DEFT is much faster than existing baselines while achieving state-of-the-art performance across a variety of linear and non-linear benchmarks. On image reconstruction tasks, we achieve speedups of up to 1.6$\times$, while having the best perceptual quality on natural images and reconstruction performance on medical images., Comment: arXiv admin note: text overlap with arXiv:2312.09236
Published: 2024

31. Structured ICU resource management in a pandemic is associated with favorable outcome in critically ill COVID‑19 patients

Author: Klein, Sebastian J., Bellmann, Romuald, Dejaco, Hannes, Eschertzhuber, Stephan, Fries, Dietmar, Furtwängler, Wilhelm, Gasteiger, Lukas, Hasibeder, Walter, Helbok, Raimund, Hochhold, Christoph, Hofer, Stefanie, Kirchmair, Lukas, Krismer, Christoph, Ladner, Eugen, Lehner, Georg F., Mathis, Simon, Mayr, Andreas, Mittermayr, Markus, Peer, Andreas, Preuß Hernández, Christian, Reitter, Bruno, Ströhle, Mathias, Swoboda, Michael, Thomé, Claudius, and Joannidis, Michael
Published: 2020
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32. A case report of individualized ventilation in a COVID-19 patient – new possibilities and caveats to consider with flow-controlled ventilation

Author: Spraider, Patrick, Putzer, Gabriel, Breitkopf, Robert, Abram, Julia, Mathis, Simon, Glodny, Bernhard, and Martini, Judith
Published: 2021
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33. On synergy between ultrahigh throughput screening and machine learning in biocatalyst engineering

Author: Gantz, Maximilian, primary, Mathis, Simon Valentin, additional, Nintzel, Friederike, additional, Lio, Pietro, additional, and Hollfelder, Florian, additional
Published: 2024
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34. Unrecognized diabetes in critically ill COVID-19 patients

Author: Klein, Sebastian J., Fries, Dietmar, Kaser, Susanne, Mathis, Simon, Thomé, Claudius, and Joannidis, Michael
Published: 2020
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35. Liver Transplantation Activity in the Eurotransplant Area Is Recovering Slowly During the COVID-19 Crisis

Author: Putzer, Gabriel, Martini, Judith, Gasteiger, Lukas, Mathis, Simon, Breitkopf, Robert, Hell, Tobias, van Enckevort, Arjan, Oberhuber, Rupert, Öfner, Dietmar, and Schneeberger, Stefan
Published: 2020
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36. Short time effects of compliance guided flow-controlled ventilation versus standard of care pressure-controlled ventilation: a prospective porcine trial

Author: ABRAM, Julia, primary, SPRAIDER, Patrick, additional, WAGNER, Julian, additional, MATHIS, Simon, additional, RANALTER, Manuela, additional, PUTZER, Gabriel, additional, HELL, Tobias, additional, BARNES, Tom, additional, ENK, Dietmar, additional, and MARTINI, Judith, additional
Published: 2023
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37. Improved ventilation efficiency due to continuous gas flow compared to decelerating gas flow in mechanical ventilation: results of a porcine trial

Author: Abram, Julia, primary, Spraider, Patrick, additional, Mathis, Simon, additional, Wagner, Julian, additional, Ranalter, Manuela, additional, Putzer, Gabriel, additional, Glodny, Bernhard, additional, Hell, Tobias, additional, Barnes, Tom, additional, Enk, Dietmar, additional, and Martini, Judith, additional
Published: 2023
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38. Admission blood glucose predicted haemorrhagic shock in multiple trauma patients

Author: Kreutziger, Janett, Rafetseder, Andreas, Mathis, Simon, Wenzel, Volker, El Attal, René, and Schmid, Stefan
Published: 2015
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39. Multi-State RNA Design with Geometric Multi-Graph Neural Networks

Author: Joshi, Chaitanya K., Jamasb, Arian R., Viñas, Ramon, Harris, Charles, Mathis, Simon, and Liò, Pietro
Subjects: FOS: Computer and information sciences, Computer Science - Machine Learning, Quantitative Biology - Biomolecules, FOS: Biological sciences, Biomolecules (q-bio.BM), Quantitative Biology - Quantitative Methods, Quantitative Methods (q-bio.QM), Machine Learning (cs.LG)
Abstract: Computational RNA design has broad applications across synthetic biology and therapeutic development. Fundamental to the diverse biological functions of RNA is its conformational flexibility, enabling single sequences to adopt a variety of distinct 3D states. Currently, computational biomolecule design tasks are often posed as inverse problems, where sequences are designed based on adopting a single desired structural conformation. In this work, we propose gRNAde, a geometric RNA design pipeline that operates on sets of 3D RNA backbone structures to explicitly account for and reflect RNA conformational diversity in its designs. We demonstrate the utility of gRNAde for improving native sequence recovery over single-state approaches on a new large-scale 3D RNA design dataset, especially for multi-state and structurally diverse RNAs. Our code is available at https://github.com/chaitjo/geometric-rna-design
Published: 2023
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40. Zää Hittlibuebe

Author: Mathis, Simon
Published: 2023
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41. Crystallization of ropivacaine and bupivacaine when mixed with different adjuvants: a semiquantitative light microscopy analysis

Author: Hoerner, Elisabeth, primary, Stundner, Ottokar, additional, Putz, Guenther, additional, Steinfeldt, Thorsten, additional, Mathis, Simon, additional, and Gasteiger, Lukas, additional
Published: 2022
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42. Solid Organ Donation and Transplantation Activity in the Eurotransplant Area During the First Year of COVID-19

Author: Putzer, Gabriel, primary, Gasteiger, Lukas, additional, Mathis, Simon, additional, van Enckevort, Arjan, additional, Hell, Tobias, additional, Resch, Thomas, additional, Schneeberger, Stefan, additional, and Martini, Judith, additional
Published: 2022
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43. Gauge-invariant quantum circuits for U(1) and Yang-Mills lattice gauge theories

Author: Mazzola, Giulia, Mathis, Simon V., Mazzola, Guglielmo, and Tavernelli, Ivano
Abstract: Quantum computation represents an emerging framework to solve lattice gauge theories (LGTs) with arbitrary gauge groups, a general and long-standing problem in computational physics. While quantum computers may encode LGTs using only polynomially increasing resources, a major open issue concerns the violation of gauge invariance during the dynamics and the search for ground states. Here, we propose a class of parametrized quantum circuits that can represent states belonging only to the physical sector of the total Hilbert space. This class of circuits is compact yet flexible enough to be used as a variational Ansatz to study ground-state properties, as well as representing states originating from a real-time dynamics. Concerning the first application, the structure of the wavefunction Ansatz guarantees the preservation of physical constraints such as the Gauss law along the entire optimization process, enabling reliable variational calculations. As for the second application, this class of quantum circuits can be used in combination with time-dependent variational quantum algorithms, thus drastically reducing the resource requirements to access dynamical properties., Physical Review Research, 3 (4), ISSN:2643-1564
Published: 2021

44. Gauge-invariant quantum circuits for U (1) and Yang-Mills lattice gauge theories

Author: Mazzola, Giulia, primary, Mathis, Simon V., additional, Mazzola, Guglielmo, additional, and Tavernelli, Ivano, additional
Published: 2021
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45. Search for charged-lepton-flavour violation in Z-boson decays with the ATLAS detector

Author: Aad, Georges, Abbott, Braden Keim, Avner, Gal, Fadol Mohammed, Abdualazem, Fusayasu, T., Fuster Verdu, Juan Antonio, Gabrielli, Alessandro, Gabrielli, Andrea, Gadatsch, S., Gadow, Paul Philipp, Gagliardi, Guido, Gagnon, Louis-guillaume, Gallardo, Gabriel Emmanuel, Gallas, Elizabeth Jean, Mokgatitswane, Gaogalalwe, Gallop, Bruce Joseph, Gamboa Goni, Rodrigo, Gan, Kock Kiam, Ganguly, Sanmay, Gao, Jun, Gao, Yanyan, Gao, Yongsheng, Garay Walls, Francisca, Garcia, Carmen, Garcia Navarro, Jose Enrique, Mondal, Santu, Garcia Pascual, Juan Antonio, Garcia-Argos, C., Garcia-sciveres, Mauricio Andres, Gardner Jr, Robert William, Garelli, N., Gargiulo, Simona, Garner, Christopher Andrew, Garonne, Vincent, Gasiorowski, Sean Joseph, Do Nascimento Gaspar, Philipp, Mullin, Joseph James, Gaudiello, A., Gaudio, Gabriella, Gauzzi, Paolo, Gavrilenko, Igor, Gavriliuk, Aleksandr, Gay, Colin Warren, Gaycken, Goetz Frieder, Gazis, Evangelos, Geanta, Andrei Alexandru, Gee, Carolyn Mei, Murin, Martin, Gee, Charles Norman, Geisen, Jannik, Geisen, Marc, Gemme, Claudia, Genest, Marie-helene, Geng, C., Gentile, Simonetta, George, Simon, Geralis, Theodoros, Gerlach, Lino Oscar, Higuchi, Yu, Gessinger-befurt, Paul, Gessner, G., Ghasemi Bostanabad, Meisam, Ghneimat, Mazuza Mohammad A, Ghosh, Aishik, Ghosh, Anindya, Giacobbe, Benedetto, Giagu, Stefano, Giangiacomi, Nico, Giannetti, Paola, Nass, Christian, Giannini, Antonio, Giannini, G., Gibson, Stephen Michael, Gignac, Matthew, Gil, Damian Tomasz, Gilbert, Benjamin Jacob, Gillberg, Dag Ingemar, Gilles, Geoffrey, Gillwald, Nils Ernst Klaus, Gingrich, Douglas, Navarro Gonzalez, Josep, Giordani, Mario, Giraud, Pierre-francois, Giugliarelli, Gilberto, Giugni, Danilo, Giuli, Francesco, Gkaitatzis, S., Gkialas, Ioannis, Gkougkousis, Evangelos Leonidas, Gkountoumis, Panagiotis, Gladilin, Leonid, Nelson, Kevin Michael, Glasman Kuguel, Claudia Beatriz, Glatzer, J., Glazov, A., Gledhill, Galen Rhodes, Gnesi, Ivan, Goblirsch-kolb, Maximilian Emanuel, Godin, Dominique, Goldfarb, Steven, Golling, Tobias Felix, Golubkov, Dmitry, Neundorf, Jonas, Da Silva Gomes, Agostinho, Goncalves Gama, Rafael, Morais Silva Goncalo, Ricardo Jose, Gonella, Giulia, Gonella, Laura, Gongadze, Alexi, Gonnella, Francesco, Gonski, Julia Lynne, Gonzalez De La Hoz, Santiago, Gonzalez Fernandez, Sergio, Badea, Anthony, Ng, Yan Wing, Gonzalez Lopez, Ricardo, Gonzalez Renteria, Cesar, Gonzalez Suarez, Rebeca, Gonzalez Sevilla, Sergio, Gonzalvo Rodriguez, Galo Rafael, Goossens, Luc, Gorasia, Nandish Arjan, Gorbounov, Petr, Gordon, Howard, Gorini, Benedetto, Norfolk, Mitchell Bradley, Gorini, Edoardo, Gorisek, Andrej, Goshaw, Alfred Thomas, Gostkin, Mikhail, Gottardo, Carlo Alberto, Gouighri, Mohamed, Goussiou, Anna, Govender, Nicolin, Goy, Corinne, Grabowska-bold, Iwona Agnieszka, Bin Norisam, Raif Rafideen, Graham, E. C., Gramling, J., Gramstad, Eirik, Grancagnolo, Sergio, Grandi, Mario, Grachev, Vadim, Gravila, Paul Mircea, Gravili, Francesco Giuseppe, Gray, C., Gray, Heather, Novotny, Lukas, Grefe, Christian, Gregersen, K., Gregor, Ingrid-maria, Grenier, Philippe Jean-paul, Grevtsov, Kirill, Grieco, Chiara, Grieser, Nathan Allen, Grillo, Alexander A, Grimm, Kathryn, Grinstein, Sebastian, Oliveira Goncalves, Dayane, Grivaz, Jean-francois, Groh, Sabrina, Gross, Eilam, Grosse-knetter, Jorn, Grout, Zara Jane, Grud, Christopher Ryan, Grummer, Aidan, Grundy, James Cameron, Guan, Liang, Guan, Wen, Zeid, O. S. Abou, Gubbels, Christopher, Guenther, Jaroslav, Guerguichon, A., Rojas, J. G. R. Guerrero, Guescini, Francesco, Guest, Daniel Hay, Gugel, Ralf, Guida, Alessandro, Guillemin, Thibault, Guindon, Stefan, Abramowicz, Halina Edwarda, Guo, Jun, Guo, W., Guo, Yuxiang, Guo, Z., Gupta, Ruchi, Gurbuz, Saime, Gustavino, Giuliano, Guth, Manuel, Gutierrez, Phillip, Gutschow, Christian, Abreu Aguilar, Henso Javier, Guyot, Claude, Gwenlan, Claire, Gwilliam, Carl Bryan, Haaland, Even Simonsen, Haas, Andrew Colton, Haber, Carl, Hadavand, Haleh Khani, Hadef, Asma, Haleem, Mahsana, Haley, Joseph, Abulaiti, Yiming, Hall, Jack Joseph, Halladjian, Garabed, Hallewell, Gregory David, Hamano, Kenji, Hamdaoui, Hassane, Hamer, Matthias, Hamity, Guillermo Nicolas, Han, Kunlin, Han, Liangliang, Han, Liang, Acharya, Bobby Samir, Han, Shuo, Han, Yi Fei, Hanagaki, Kazunori, Hance, Michael, Handl, D. M., Hank, Michael Donald, Hankache, Robert, Hansen, Eva Brottmann, Hansen, Joergen Beck, Hansen, Joern Dines, Bahrasemani, Sina, Achkar, Baida, Hansen, Maike Christina, Hansen, Peter Henrik, Hanson, E. C., Hara, Kazuhiko, Harenberg, Torsten, Harkusha, Siarhei, Harrison, Paul Fraser, Hartman, Nicole Michelle, Hartmann, Nikolai, Hasegawa, Yoji, Adam, Lennart, Hasib, A. A., Hassani, Samira, Haug, Sigve, Hauser, Reiner, Havranek, Miroslav, Hawkes, Christopher, Hawkings, Richard John, Hayashida, Shota, Hayden, Daniel Adam, Hayes, Christopher Robyn, Adam Bourdarios, Claire, Hayes, Robin, Hays, Christopher Paul, Hays, Jonathan Michael, Hayward, Helen Sarah, Haywood, Stephen James, He, Fudong, He, Yunjian, Heath, Matthew Peter, Hedberg, Vincent, Heggelund, Andreas Lokken, Adamczyk, Leszek, Hehir, Natasha Domenica, Heidegger, Constantin, Heidegger, Kim Katrin, Heidorn, William Dale, Heilman, Jesse Alan, Heim, Sarah, Heim, Timon Frank-thomas, Heinemann, Beate, Heinlein, James Geddy, Heinrich, Jochen Jens, Adamek, Lukas, Heinrich, Lukas Alexander, Hejbal, Jiri, Helary, Louis, Held, Alexander, Hellesund, Simen, Helling, Cole Michael, Hellman, Sten Lennart, Helsens, Clement, Henderson, R. C. W., Henkelmann, Lars, Adelman, Jahred Adam, Henriques Correia, Ana Maria, Herde, Hannah Elizabeth, Hernandez Jimenez, Yesenia, Herr, Holger Arnold, Herrmann, Maximilian Georg, Herrmann, Tim, Herten, Leonhard Gregor, Hertenberger, Ralf, Hervas, Luis, Hesketh, G. G., Adiguzel, Aytul, Hessey, Nigel Paul, Hibi, Hiroaki, Higashino, Satoshi, Higon-rodriguez, Emilio, Hildebrand, K., Hill, Kurt Keys, Hiller, Karlheinz, Hillier, Stephen James, Hils, Maximilian, Hinchliffe, Ian, Adorni Braccesi Chiassi, Sofia, Hinterkeuser, Florian, Hirose, Minoru, Hirose, Shigeki, Hirschbuehl, Dominic, Hiti, Bojan, Hladik, Ondrej, Hobbs, John David, Hobincu, Radu, Tal Hod, Noam, Hodgkinson, Mark Christopher, Adye, Timothy John, Hoecker, Andreas, Hohn, David, Hohov, D., Holm, Tanja, Holmes, Tova Ray, Holzbock, Michael Helmut, Hommels, Bart Leonard Anton, Hong, Tae Min, Honig, Jan Cedric, Honle, Andreas, Affolder, Anthony, Hooberman, Benjamin Henry, Hopkins, Walter Howard, Horii, Yasuyuki, Horn, Philipp, Horyn, Lesya Anna, Hou, Suen, Hoummada, A., Howarth, James William, Hoya, Joaquin, Hrabovsky, Miroslav, Ballabene, Eric, Afik, Yoav, Hrivnac, J., Hrynevich, Aliaksei, Hrynova, Tetiana, Hsu, P. J., Hsu, Shih-chieh, Hu, Qipeng, Hu, Shuyang, Hu, Yifan, Huang, Danping, Huang, Xiaozhong, Agapopoulou, Christina, Huang, Yanping, Huang, Yicong, Hubacek, Zdenek, Hubaut, Fabrice, Hubner, Michael, Huegging, Fabian Georg, Huffman, Todd Brian, Huhtinen, Mika, Hulsken, Raphael, Huseynov, Nazim, Agaras, Merve Nazlim, Huston, Joey, Huth, John Edward, Hyneman, Rachel Jordan, Hyrych, Sofiia, Iacobucci, Giuseppe, Iakovidis, Georgios, Ibragimov, Iskander, Iconomidou-fayard, Lydia, Iengo, Paolo, Ignazzi, Rosanna, Aggarwal, Anamika, Iguchi, Ryunosuke, Iizawa, Tomoya, Ikegami, Yoichi, Ikeno, M., Ilic, Nikolina, Iltzsche, F., Imam, Hajar, Introzzi, Gianluca, Iodice, Mauro, Iordanidou, K., Agheorghiesei, Catalin, Ippolito, Valerio, Isacson, M. F., Ishino, Masaya, Islam, Wasikul, Issever, Cigdem, Istin, Serhat, Iturbe Ponce, Julia Mariana, Iuppa, Roberto, Ivina, Anna, Izen, Joseph Michael, Aguilar Saavedra, Juan Antonio, Izzo, Vincenzo, Jacka, Petr, Jackson, Paul Douglas, Jacobs, Ruth Magdalena, Jaeger, Benjamin Paul, Jain, V., Jakel, Gunnar, Jakobi, Katharina Bianca, Jakobs, Karl, Jakoubek, Tomas, Ahmad, Ammara, Jamieson, Jonathan, Janas, Krzysztof Wojciech, Jansky, R., Janus, M., Janus, P. A., Jarlskog, Goran, Jaspan, Adam Elliott, Javadov, Namig, Javurek, Tomas, Javurkova, Martina, Ahmadov, Faig, Jeanneau, Fabien, Jeanty, Laura, Jejelava, Juansher, Jenni, Peter, Jeong, N., Jezequel, Stephane, Jia, Jiangyong, Jia, Zihang, Jiang, H., Jiang, Yi, Ahmed, Waleed Syed, Jiang, Z., Jiggins, Stephen, Morales, F. A. Jimenez, Jimenez Pena, Javier, Jin, Shan, Jinaru, Adam, Jinnouchi, Osamu, Jivan, H., Johansson, Per Daniel Conny, Johns, Kenneth Arthur, Ai, Xiaocong, Johnson, Christian, Jones, Eleanor, Jones, R. W. L., Jones, Timothy John, Jovicevic, Jelena, Ju, Xiangyang, Junggeburth, Johannes Josef, Juste Rozas, Aurelio, Kaczmarska, Anna, Kado, Marumi Marcello, Barends, Kevin Nicholas, Aielli, Giulio, Kagan, Harris Peter, Kagan, Michael Aaron, Kahn, Alan Mathew, Kahra, Christian, Kaji, Toshiaki, Kajomovitz Must, Enrique, Kalderon, Charles William, Kaluza, Adam, Kamenshchikov, A., Kaneda, Michiru, Akatsuka, Shunichi, Kang, Nathan Jihoon, Kang, Shuaiyan, Kano, Yuya, Kanzaki, Junichi, Kaplan, L. S., Kar, Deepak, Karava, Kla, Kareem, Mohammad, Karkanias, Ioannis, Karpov, Sergey, Akbiyik, Melike, Karpova, Zoya, Kartvelishvili, Vakhtang, Karyukhin, Andrey, Kasimi, Eirini, Kastanas, A., Kato, Chikuma, Katzy, Judith, Kawade, Kentaro, Kawagoe, Kiyotomo, Kawaguchi, Tomomi, Akesson, Torsten Paul Ake, Kawamoto, Tatsuo, Kawamura, Gen, Kay, Ellis Fawn, Kaya, Fikriye Idil, Kazakos, Stergios, Kazanin, Vassili, Keaveney, James Michael, Keeler, Richard, Keller, John Stakely, Kellermann, E., Akilli, E., Kelsey, Daniel Christopher, Kempster, Jacob Julian, Kendrick, James Andrew, Kennedy, Kiley Elizabeth, Kepka, Oldrich, Kersten, Susanne, Kersevan, Borut Paul, Ketabchi Haghighat, Sana, Khalil-Zada, F., Khandoga, Mykola, Akimov, Andrey, Khanov, Alexander, Kharlamov, Alexey, Kharlamova, Tatyana, Khoda, Elham E, Khoo, Teng Jian, Khoriauli, Gia, Khramov, Evgeny, Khubua, Jemal, Kido, Shogo, Kiehn, Moritz Simon Maria, Al Khoury, Konie, Kim, Eunchong, Kim, Young-kee, Kimura, Naoki, Kirchhoff, Andreas, Kirchmeier, David, Kirk, Julie, Kiryunin, Andrey, Kishimoto, Tomoe, Kisliuk, Dylan Perry, Kitali, Vincent, Alberghi, Gian Luigi, Kitsaki, Chara, Kivernyk, Oleh, Klapdor-kleingrothaus, Thorwald, Klassen, Martin, Klein, Christoph Thomas, Klein, Matthew Henry, Klein, Max, Klein, Uta, Kleinknecht, K., Klimek, Pawel Jan, Albert, Justin Emanuel, Klimentov, Alexei, Klimpel, Fabian, Klingl, Tobias, Klioutchnikova, Tatiana, Klitzner, Felix Fidelio, Kluit, Peter Martin, Kluth, Stefan, Kneringer, Emmerich, Knue, Andrea Helen, Kobayashi, Dai, Alconada Verzini, Maria Josefina, Kobel, Michael, Kocian, Martin Lukas, Kodama, Takafumi, Kodys, Peter, Kock, Daniela Maria, Konig, Philipp Thomas, Koffas, Thomas, Koehler, Nicolas Maximilian, Kolb, Mathis Simon, Koletsou, Iro, Bashta, Inna, Alderweireldt, Sara Caroline, Komarek, Tomas, Kondo, T., Koeneke, Karsten, Kong, Albert Xing Yi, Kono, Takanori, Konstantinides, Vasilis, Konstantinidis, Nikolaos, Konya, Balazs, Kopeliansky, Revital, Koperny, Stefan Zenon, Aleksa, Martin, Korcyl, Krzysztof Marian, Kordas, Konstantinos, Koren, Guy, Korn, Andreas Michael, Korolkov, Ilya, Korolkova, Elena, Korotkova, Natalia, Kortner, Oliver, Kortner, Sandra, Kostyukhin, Vadim, Aleksandrov, I. N., Kotsokechagia, Anastasia, Kotwal, Ashutosh Vijay, Koulouris, Aimilianos, Kourkoumeli-charalampidi, Athina, Kourkoumelis, Christine, Kourlitis, Evangelos, Kouskoura, V., Kowalewski, Robert Victor, Kozanecki, Witold, Kozhin, Anatoly, Alexa, Calin, Kramarenko, Victor, Kramberger, Gregor, Krasnopevtsev, Dimitrii, Krasny, Mieczyslaw Witold, Krasznahorkay, Attila, Krauss, D., Kremer, Jakub Andrzej, Kretzschmar, Jan, Kreul, Ken Matthias, Krieger, Peter, Alexopoulos, Theodoros, Krieter, Ferdinand, Krishnamurthy, Samyukta, Krishnan, Anjali, Krivos, Martin, Krizka, Karol, Kroeninger, Kevin Alexander, Kroha, Hubert, Kroll, Jiri, Kroll, Joseph Ira, Krowpman, Kyle Stuart, Alfonsi, Alice, Kruchonak, Uladzimir, Krueger, Hans, Krumnack, Nils Erik, Kruse, Mark Charles, Krzysiak, Janina Anna, Kubota, Arisa, Kuchinskaia, Olesia, Kuday, Sinan, Kuchler, Daniela, Kuechler, Jan Thomas, Alfonsi, Fabrizio, Kuehn, S., Kuhl, Thorsten, Kukhtin, Victor, Kulchitsky, Y., Kuleshov, Sergey, Kulinich, Y. P., Kuna, Marine, Kupco, Alexander, Kupfer, Tobias, Kuprash, Oleg, Alhroob, Muhammad, Kurashige, Hisaya, Kurchaninov, Leonid, Kurochkin, Yurii, Kurova, Anastasiia, Kurth, Matthew Glenn, Kuwertz, Emma Sian, Kuze, Masahiro, Kvam, Audrey Katherine, Kvita, Jiri, Kwan, Tony, Ali, Babar, Lacasta Llacer, Carlos, Lacava, Francesco, Lacker, Heiko Markus, Lacour, Didier, Ladygin, Evgeny, Lafaye, Remi, Laforge, Bertrand, Lagouri, Theodota, Lai, Stanley Tsai-ting, Lakomiec, Inga Katarzyna, Ali, Shahzad, Lambert, Joseph Earl, Lammers, Sabine Wedam, Lampl, Walter, Lampoudis, Christos, Lancon, Eric Christian, Landgraf, Ulrich, Landon, Murrough, Lang, Valerie Susanne, Lange, Joern Christian, Langenberg, Robert Johannes, Basson, Candice Ruth, Aliev, Malik, Lankford, Andrew James, Lanni, Francesco, Lantzsch, Kerstin, Lanza, Agostino, Lapertosa, Alessandro, Laporte, Jean-francois, Lari, Tommaso, Lasagni Manghi, Federico, Lassnig, Mario, Latonova, Vera, Alimonti, Gianluca, Lau, Tak Shun, Laudrain, Antoine, Laurier, Alexandre, Lavorgna, Marco, Lawlor, Sean Dean, Lazzaroni, Massimo, Le, Brian, Guirriec, E. Le, Lebedev, Alexandre, Leblanc, Matthew Edgar, Allaire, Corentin, LeCompte, T., Ledroit-Guillon, F., Lee, Ava Chloe Audrey, Lee, Claire Alexandra, Lee, Graham Richard, Lee Jr, Lawrence, Lee, Shih-chang, Lee, Songkyo, Lefebvre, Benoit, Lefebvre, Helena, Allbrooke, Benedict, Lefebvre, Michel, Leggett, Charles, Lehmann, Konstantin, Lehmann, Niklaus, Lehmann Miotto, Giovanna, Leight, William Axel, Leisos, Antonios, Lisboa Leite, Marco Aurelio, Leitgeb, Clara Elisabeth, Leitner, Rupert, Allen, B. W., Leney, Katharine, Lenz, Tatjana, Leone, Sandra, Leonidopoulos, Christos, Leopold, Alexander, Leroy, Claude, Les, Robert, Lester, Christopher Gorham, Levchenko, Mikhail, Leveque, Jessica, Allport, Philip Patrick, Levin, Daniel Sheldon, Levinson, Lorne Joel, Lewis, Daniel James, Li, Boyang, Li, Bing, Li, Changqiao, Li, F., Li, Heng, Li, Haifeng, Li, Jing, Aloisio, Alberto, Li, Ke, Li, Liang, Li, Mengran, Li, Quanyin, Li, Shu, Li, Xingguo, Li, Yichen, Li, Zhi, Li, Zhiying, Li, Zhelun, Alonso, Francisco, Li, Zhiyuan, Liang, Zhijun, Liberatore, Marianna, Liberti, Barbara, Lie, Ki, Lim, S., Lin, C. Y., Lin, Kuan-yu, Linck, Rebecca Anne, Lindley, Rachel Elizabeth, Alpigiani, Cristiano, Lindon, Jack Henry, Linss, Arthur, Lionti, A. L., Lipeles, Elliot David, Lipniacka, Anna, Lister, Alison Claire, Little, Jared David, Liu, Bo, Liu, Bingxuan, Blumenschein, Heidrun, Alunno Camelia, Elio, Liu, Jianbei, Liu, Jesse Kar Kee, Liu, Kun, Liu, Minghui, Liu, Mingyi, Liu, Peilian, Liu, Xiaotian, Liu, Yi, Liu, Yang, Liu, Yanlin, Beirao Da Cruz E Silva, Cristovao, Alvarez Estevez, Manuel, Liu, Yanwen, Livan, Michele, Lleres, Annick, Llorente Merino, Javier, Lloyd, Stephen, Lo, C. Y., Lobodzinska, Ewelina Maria, Loch, Peter, Loffredo, Salvatore, Lohse, Thomas, Alviggi, Mariagrazia, Lohwasser, Kristin, Lokajicek, Milos, Long, Jonathan David, Long, Robin Eamonn, Longarini, Iacopo, Longo, Luigi, Lopez Paz, Ivan, Lopez Solis, Alvaro, Lorenz, Jeanette Miriam, Lorenzo Martinez, Narei, Do Amaral Coutinho, Yara, Lory, Alexander Mario, Loesle, Alena, Lou, Xuanhong, Lou, Xinchou, Lounis, Abdenour, Love, Jeremy Robert, Love, Peter Allan, Lozano Bahilo, Jose Julio, Lu, Miaoran, Lu, Yun-ju, Ambler, Alessandro, Lubatti, Henry, Luci, Claudio, Lucio Alves, Fabio Lucio, Lucotte, Arnaud, Luehring, Frederick, Luise, Ilaria, Luminari, Lamberto, Lund-jensen, Bengt, Luongo, Nicholas Andrew, Lutz, Margaret Susan, Ambroz, Luca, Lynn, David, Lyons, Harry John, Lysak, Roman, Lytken, Else, Lyu, Feng, Lyubushkin, Vladimir, Lyubushkina, Tatiana, Ma, Hong, Ma, Lianliang, Ma, Yanhui, Amelung, Christoph, Donell, D. M. Mac, Maccarrone, Giovanni, Macdonald, Calum Michael, Macdonald, Jack Cameron, Miguens, J. Machado, Madar, Romain Jacques, Mader, Wolfgang Franz, Madugoda Ralalage Don, Madhuranga, Madysa, Nico, Maeda, Jumpei, Amidei, Dante Eric, Maeno, Tadashi, Maerker, Max, Magerl, Veronika, Magini, N., Magro, Jacopo, Mahon, Devin James, Maidantchik, Carmen Lucia Lodi, Maio, Amelia, Maj, Klaudia, Majersky, Oliver, Amor Dos Santos, Susana Patricia, Majewski, Stephanie, Makida, Y., Makovec, Nikola, Malaescu, Bogdan, Malecki, Pa., Maleev, Victor, Malek, Fairouz, Malito, Davide, Mallik, Usha, Malone, Claire, Amoroso, Simone, Maltezos, Stavros, Malyukov, Sergei, Mamuzic, Judita, Mancini, Giada, Mandalia, Jesal Paresh, Mandic, Igor, Manhaes De Andrade Filho, Luciano, Maniatis, Ioannis Michail, Manjarres Ramos, Joany Andreina, Mankinen, Katja Hannele, Amrouche, Cherifa Sabrina, Mann, Alexander Winfried, Manousos, Athanasios, Mansoulie, Bruno, Manthos, Ioannis, Manzoni, Stefano, Marantis, Alexandros, Marceca, G., Marchese, Luigi, Marchiori, Giovanni, Marcisovsky, Michal, Beirer, Joshua Falco, An, F., Marcoccia, Lorenzo, Marcon, Caterina, Marjanovic, Marija, Marshall, Zachary Louis, Martensson, M. U. F., Marti I Garcia, Salvador, Martin, C. B., Martin, Timothy, Martin, Victoria Jane, Martin Dit Latour, Bertrand, Anastopoulos, Christos, Martinelli, Luca, Martinez-perez, Mario, Martinez Agullo, Pablo, Martinez Outschoorn, Verena Ingrid, Martin-haugh, Stewart, Martoiu, Victor Sorin, Martyniuk, Alex Christopher, Marzin, Antoine, Maschek, Stefan Raimund, Masetti, Lucia, Andari, Nansi, Mashimo, Tetsuro, Mashinistov, R., Masik, Jiri, Maslennikov, Aleksei, Massa, Lorenzo, Massarotti, Paolo, Mastrandrea, Paolo, Mastroberardino, Anna, Masubuchi, Tatsuya, Matakias, Dimitrios, Andeen, Timothy Robert, Matic, Andrea, Matsuzawa, Nobuo, Mättig, P., Maurer, Julien Benoit, Macek, Bostjan, Maximov, Dmitriy, Mazini, Rachid, Maznas, Ioannis, Mazza, Simone Michele, Mc Gowan, John Patrick, Anders, John Kenneth, Mc Kee, Shawn Patrick, Mccarthy, Thomas George, Mccormack, William Patrick, Mcdonald, Emily Frances, Mcdougall, Ashley Ellen, Mcfayden, Joshua Angus, Mchedlidze, Gvantsa, McKay, M. 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J. W., Muanza, Steve Guy, Mueller, James Alfred, Muenstermann, Daniel, Mullier, Geoffrey, Mungo, Davide Pietro, Antonelli, Mario, Munoz Martinez, Jose Luis, Munoz Sanchez, Francisca Javiela, Murin, Pavel, Murray, William John, Murrone, Alessia, Muse, Joseph M, Muskinja, Miha, Mwewa, Chilufya, Myagkov, Alexey, Myers, Ava Anne, Antrim, Daniel Joseph, Myers, Gregory William, Myers, J., Myska, Miroslav, Nachman, Benjamin Philip, Nackenhorst, Olaf, Nag, Abhishek, Nagai, Koichi, Nagano, Kunihiro, Nagasaka, Y., Nagle, James Lawrence, Anulli, Fabio, Nagy, Elemer, Nairz, Armin Michael, Nakahama, Y., Nakamura, Koji, Nakamura, T., Nanjo, Hajime, Napolitano, Fabrizio, Narayan, Rohin Thampilali, Naryshkin, Iurii, Naseri, Mohsen, Aoki, Masato, Naumann, Thomas, Navarro, Gabriela Alejandra, Nechaeva, Polina, Nechansky, Filip, Neep, Thomas James, Negri, Andrea, Negrini, Matteo, Nellist, Clara Jean May, Nelson, Christina, Nelson, Michael Edward, Abbott, Dale Charles, Bouquet, Romain, Aparo, Marco, Nemecek, Stanislav, Nessi, Marzio, Neubauer, Mark Stephen, Neuhaus, Friedemann, Neumann, M., Newhouse, Robin, Newman, Paul Richard, Ng, Chi Wing, Ng, Y. S., Ng, Ying Wun Yvonne, Aperio Bella, Ludovica, Ngair, Badr-eddine, Nguyen, Hoang Dai Nghia, Nguyen Manh, Tuan, Nibigira, E., Nickerson, Richard Bruce, Nikolaidou, Rodanthi, Nielsen, Daniel Stefaniak, Nielsen, Jason Alan, Niemeyer, Marcel, Nikiforou, Nikiforos, Aranzabal Barrio, Nordin, Nikolaenko, Vladimir, Nikolic-Audit, I., Nikolopoulos, Konstantinos, Nilsson, Paal Nils Bertil, Nindhito, Herjuno Rah, Nisati, Aleandro, Nishu, Nishu, Nisius, Richard, Nitsche, I., Nitta, Tatsumi, Araujo Ferraz, Victor, Nobe, Takuya, Noel, Daniel Louis, Noguchi, Yohei, Nomidis, Ioannis, Nomura, Marcelo Ayumu, Nordberg, M., Novak, Jakob, Novak, Tadej, Novgorodova, Olga, Novotny, Radek, Pereira, R. 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H., Asai, Shoji, Piegaia, Ricardo Nestor, Pietreanu, Dorel, Pilcher, James, Pilkington, Andrew Denis, Pinamonti, Michele, Pinfold, James, Pitman Donaldson, Charlie Bruno, Pitt, M., Pizzimento, Luca, Pizzini, Alessio, Asawatavonvanich, T., Pleier, Marc-andre, Plesanovs, Vladislavs, Pleskot, Vojtech, Plotnikova, Elena, Podberezko, Pavel, Pottgen, Ruth, Poggi, Riccardo, Poggioli, Luc, Pogrebnyak, Ivan, Pohl, David-leon, Buxo Vazquez, Carlos Josue, Asbah, Nedaa B I, Pokharel, Ishan, Polesello, Giacomo, Poley, Anne-luise, Policicchio, Antonio, Polifka, Richard, Polini, Alessandro, Pollard, Christopher Samuel, Polychronakos, Venetios, Ponomarenko, Daniil, Pontecorvo, Ludovico, Asimakopoulou, Eleni Myrto, Popa, Stefan, Popeneciu, Gabriel Alexandru, Portales, Louis Adrien Paul, Portillo Quintero, Dilia Maria, Pospisil, Stanislav, Potamianos, Karolos Jozef, Potrap, Igor, Potter, Christina Jane, Potti, Harish, Poulsen, Trine, Asquith, Lily, Poveda Torres, Joaquin, Powell, Thomas Dennis, Pownall, Gavin Dominic, Pozo Astigarraga, Mikel Eukeni, Prades Ibanez, Alberto, Pralavorio, Pascal, Prapa, Maria Myrto, Prell, Soeren Andre, Price, Darren David, Primavera, Margherita, Assahsah, Jihad, Proffitt, Mason Louis, Proklova, Nadezda, Prokoév, K., Prokoshin, Fedor, Protopopescu, Serban Dan, Proudfoot, James, Przybycien, Mariusz, Pudzha, Denis, Puri, A., Puzo, Patrick Michel, Assamagan, Ketevi Adikle, Pyatiizbyantseva, Diana, Qian, Jianming, Qin, Yang, Quadt, Arnulf, Queitsch-maitland, Michaela, Rabanal Bolanos, Gabriel, Racko, M., Ragusa, Francesco, Rahal, Ghita, Raine, John Andrew, Astalos, Robert, Rajagopalan, Srinivasan, Morales, A. 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P. C., Sannino, Mario, Sano, Yuta, Sansoni, Andrea, Santoni, Claudio, Santos, Helena Fatima, Santpur, Sai Neha, Santra, Arka, Carnesale, Maria, Bagnaia, Paolo, Saoucha, Kamal Abdelouadoud, Sapronov, Andrey, Mendes Saraiva, Joao Gentil, Sasaki, Osamu, Sato, Koji, Sauerburger, Frank Tobias, Sauvan, Emmanuel Jean, Savard, Pierre, Sawada, Ryu, Sawyer, Craig Anthony, Bahmani, M., Sawyer, Lee Hughie, Sayago Galvan, Ivan, Sbarra, Carla, Sbrizzi, Antonio, Scanlon, Timothy Paul, Schaarschmidt, Jana, Schacht, Peter, Schaefer, Douglas Michael, Schaefer, Leigh Catherine, Schaefer, Ulrich, Bahrasemani, H., Schaffer, Arthur Cornelius, Schaile, Dorothee Anne, Schamberger Jr, Robert Dean, Schanet, Eric, Scharf, Christian, Scharmberg, Nicolas, Schegelsky, V. A., Scheirich, Daniel, Schenck, Ferdinand Wilhelm, Schernau, Michael, Bailey, Adam, Schiavi, Carlo, Schildgen, Lara Katharina, Schillaci, Zachary Michael, Schioppa, Enrico Junior, Schioppa, Marco, Schleicher, Katharina, Schlenker, Stefan, Schmidt-Sommerfeld, K. R., Schmieden, Kristof, Schmitt, Christian, Bailey, Virginia Ruth, Schmitt, Stefan, Schoeffel, Laurent Olivier, Schoening, Andre, Scholer, Patrick Gerhard, Schopf, Elisabeth, Schott, Matthias, Schovancova, Jaroslava, Schramm, Steven Randolph, Schroeder, Frederic, Schulte, A., Baines, John, Schultz-coulon, Hans-christian, Schumacher, Markus, Schumm, Bruce Andrew, Schune, Ph., Schwartzman, Ariel Gustavo, Schwarz, Thomas Andrew, Schwemling, Ph., Schwienhorst, Reinhard Heinrich, Sciandra, Andrea, Sciolla, Gabriella, Bakalis, Christos, Scuri, Fabrizio, Scutti, Federico, Scyboz, L. M., Sebastiani, Cristiano, Sedlaczek, Kevin, Seema, Pienpen, Seidel, Sally Carol, Seiden, Abraham, Seidlitz, Blair Daniel, Seiss, Todd Michael, Baker, Keith Oliver, Seitz, Claudia, Seixas, Jose, Sekhniaidze, Givi, Sekula, Stephen Jacob, Semprini Cesari, Nicola, Sen, Sourav, Serfon, Cedric Louis Guy, Serin, Laurent, Serkin, Leonid, Sessa, Marco, Bakker, Pepijn Johannes, Severini, Horst, Sevova, Stanislava, Sforza, Federico, Sfyrla, Anna, Shabalina, Elizaveta, Shahinian, Jeffrey David, Shaikh, N. W., Shaked Renous, Dan, Shan, Lianyou, Shapiro, Marjorie, Bakos, Evelin, Sharma, Abhishek, Shatalov, Pavel, Shaw, Kate, Shaw, Savanna Marie, Shehade, M., Shen, Y., Sherman, A. 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M., Snyder, Scott Stuart, Sobie, Randall, Balunas, William Keaton, Soffer, Abner, Søgaard, A., Sohns, Fabian, Solans Sanchez, Carlos Antonio, Soldatov, Evgeny, Soldevila Serrano, Urmila, Solodkov, Alexander, Soloshenko, Aleksey, Solovyanov, Oleg, Solovyev, Victor, Balz, Johannes, Sommer, Philip Oskar, Son, Hyungsuk, Sonay, Anil, Song, W., Song, Wen Yi, Sopczak, Andre, Sopio, Alexander Linus, Sopkova, Filomena, Sottocornola, Simone, Soualah, Rachik, Banas, Elzbieta Anna, Sukharev, Andrey, South, David Michael, Spagnolo, Stefania, Spalla, Margherita, Spangenberg, Martin, Spano, Francesco, Sperlich, Dennis, Spieker, Thomas Malte, Spigo, Giancarlo, Spina, Mario, Bandieramonte, Marilena, Spiteri, Dwayne Patrick, Spousta, Martin, Stabile, Alberto, Stamas, Brianna Lynn, Stamen, Rainer, Stamenkovic, Marko, Stampekis, Alexios, Stanecka, Ewa, Stanislaus, Beojan, Stanitzki, Marcel Michael, Rodriguez Chala, Mikael, Bandyopadhyay, Anjishnu, Stankaityte, Migle, Stapf, Birgit Sylvia, Starchenko, Evgeny, Stark, Giordon Holtsberg, Stark, Jan, Staroba, Pavel, Starovoitov, Pavel, Staerz, Steffen, Staszewski, Rafal Pawel, Stavropoulos, Georgios, Banerjee, Sw., Stegler, M., Steinberg, Peter Alan, Steinhebel, Amanda Lynn, Stelzer, Bernd, Stelzer, Harald Joerg, Stelzer-chilton, Oliver, Stenzel, Hasko, Stevenson, Thomas James, Stewart, Graeme Andrew, Stockton, Mark Christopher, Barak, Liron, Stoicea, Gabriel, Stolarski, Marcin, Stonjek, Stefan Matthias, Straessner, Arno, Strandberg, Jonas, Strandberg, Sara Kristina, Strauss, Michael George, Strebler, Thomas, Strizenec, Pavol, Strohmer, Raimund, Panchal, Devanshu Kiran, Strom, David Mattill, Stroynowski, Ryszard Andrzej, Strubig, Antonia Hanna, Stucci, Stefania Antonia, Stugu, Bjarne Sandvik, Stupak, John, Styles, Nicholas Adam, Su, Dong, Su, Wanyun, Su, Xiaowen, Penzin, Maksim, Suarez, Nicholas Bruno, Sulin, Vladimir, Sullivan, Matthew James, Sultan, D. 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S., Boonekamp, Maarten, Booth, Callum Dale, Borbely, Albert Gyorgy, Borecka-bielska, Hanna Maria, Borgna, Lucas Santiago, Borisov, A., Borissov, Guennadi, Bortoletto, Daniela, Boscherini, Davide, Fan, Yunyun, Fernandez-bosman, Martine, Bossio Sola, Jonathan David, Bouaouda, Khalil, Boudreau, Joseph Francis, Bouhova-thacker, Evelina Vassileva, Boumediene, Djamel Eddine, Boveia, Antonio Jay, Boyd, James, Boye, Diallo, Boyko, Igor, Freegard, Arran Charles, Bozson, Adam James, Bracinik, Juraj, Brahimi, Nihal, Brandt, Gerhard Immanuel, Brandt, Oleg, Braren, Frued Erik, Brau, Benjamin Paul, Brau, James Edward, Breaden Madden, William Dmitri, Brendlinger, Kurt Thurman, Abhayasinghe, Deshan Kavishka, Fu, Yao, Schimmel Brener, Roy, Brenner, Lydia, Brenner, Richard, Bressler, Shikma, Brickwedde, Bernard, Briglin, Daniel Lawrence, Britton, David, Britzger, Daniel Andreas, Brock, Ian Clarkson, Brock, Raymond, Garg, Diksha, Brooijmans, Gustaaf Henricus, Brooks, William King, Brost, Elizabeth Caitlin, Bruckman De Renstrom, Pawel, Bruers, Ben, Bruncko, Dusan, Bruni, Alessia, Bruni, Graziano, Bruschi, Marco, Bruscino, Nello, Glisic, Marija, Bryngemark, Lene, Buanes, Trygve, Buat, Quentin Olivier, Buchholz, Peter, Buckley, Andrew Gordon, Budagov, I. A., Bugge, Magnar Kopangen, Bulekov, Oleg, Bullard, Brendon Aurele, Burch, Tyler James, Gombas, Jason Peter, Burdin, Sergey, Burgard, Carsten Daniel, Burger, Angela Maria, Burghgrave, Blake Oliver, Burr, Jonathan, Burton, Charles Davis, Burzynski, Jackson Carl, Buescher, Volker, Buschmann, E., Bussey, Peter John, Gonzalez Andana, Richards Yeremayar, Butler, John Mark, Buttar, Craig, Butterworth, Jonathan Mark, Butti, P., Buttinger, William, Buzatu, A., Buzykaev, Aleksey, Cabras, Grazia, Cabrera Urban, Susana, Caforio, Davide, Goumarre, Vincent, Cai, Huacheng, Cairo, Valentina, Cakir, Orhan, Calace, Noemi, Calafiura, Paolo, Calderini, Giovanni, Calfayan, Philippe Pierre, Callea, Giuseppe, Caloba, Luiz Pereira, Caltabiano, Alessandro, Graham, Kevin Robert, Calvente Lopez, Sergio, Calvet, David, Calvet, Samuel Pierre Jean, Calvet, Thomas Philippe, Calvetti, Milene, Camacho Toro, Reina Coromoto, Camarda, Stefano, Camarero Munoz, Daniel, Camarri, Paolo, Camerlingo, Maria Teresa, Guo, Linghua, Cameron, David Gordon, Camincher, Clement, Campana, S., Campanelli, Mario, Camplani, Alessandra, Canale, Vincenzo, Canesse, Auriane, Bret Cano, Marc, Cantero Garcia, Josu, Cao, T., Gutierrez Zagazeta, Luis Felipe, Cao, Yumeng, Capua, Marcella, Cardarelli, Roberto, Cardillo, Fabio, Carducci, Giovandomenico, Carli, I., Carli, Tancredi, Carlino, Gianpaolo, Carlson, Benjamin Taylor, Carlson, Evan Michael, Habedank, Martin Steffen, Carminati, Leonardo, Carney, Rebecca, Caron, Sascha, Carquin Lopez, Edson Leonardo, Carra, Sonia, Carratta, Giuseppe, Carter, J. W. S., Carter, Thomas Michael, Casado Lechuga, Pilar Maria, Casha, Albert Francis, Abidi, Syed Haider, Halser, Lea, Castiglia, Emma Grace, Castillo, Florencia Luciana, Castillo Garcia, Lucia, Castillo Gimenez, Victoria, Castro, Nuno Filipe, Catinaccio, Andrea, Catmore, James Richard, Cattai, Ariella, Cavaliere, Viviana, Cavasinni, Vincenzo, Harris, Ynyr Theophilus, Celebi, Emre, Celli, Federico, Cerny, Karel, Santiago Cerqueira, Augusto, Cerri, Alessandro, Cerrito, Lucio, Cerutti, Fabio, Cervelli, Alberto, Cetin, Serkant Ali, Chadi, Zakaria, He, Yajun, Chakraborty, Dhiman, Chan, J., Chan, Wing Sheung, Chan, Wai Yuen, Chapman, John Derek, Chargeishvili, Bakar, Charlton, David, Charman, Thomas Paul, Chatterjee, Meghranjana, Chau, Chav Chhiv, Hodkinson, Benjamin Haslum, Che, S., Chekanov, Sergei, Chekulaev, Sergey, Shelkov, Georgy, Chen, Boping, Chen, Cheng, Chen, Chunhui, Chen, Huirun, Chen, Hucheng, Chen, Jing, Hofer, Judith, Chen, Jue, Chen, Jiayi, Chen, Shion, Chen, Shenjian, Chen, Xin, Chen, Ye, Chen, Yu-heng, Cheng, Hok Chuen, Cheng, Huajie, Cheplakov, Alexander, Honan, Benjamin Paul, Cheremushkina, Evgeniya, Cherkaoui El Moursli, Rajaa, Cheu, Elliott Curtis, Cheung, Kingman, Chevalier, Laurent Pascal, Chiarella, Vitaliano, Chiarelli, Giorgio, Chiodini, Gabriele, Chisholm, Andrew Stephen, Chitan, Adrian, Hong, Jiangliu, Chiu, I-huan, Chiu, Yu Him Justin, Chizhov, Mihail, Choi, Kyungeon, Chomont, Arthur Rene, Chou, Yuan-tang, Chow, Yun Sang, Christopher, Lawrence Davou, Chu, Ming Chung, Chu, Xiaotong, Hsu, Pai-hsien, Chudoba, Jiri, Chwastowski, Janusz Jerzy, Chytka, L., Cieri, Davide, Ciesla, Krzysztof Marcin, Cindro, Vladimir, Cioara, Irina Antonela, Ciocio, Alessandra, Cirotto, Francesco, Citron, Zvi Hirsh, Ingebretsen Carlson, Tom, Citterio, Mauro, Ciubotaru, Dan Andrei, Ciungu, Bianca Monica, Clark, Allan, Clark, Philip James, Clawson, Savannah Ellen, Clement, Christophe, Clissa, Luca, Coadou, Yann, Cobal, Marina, Jagfeld, Christoph, Coccaro, Andrea, Cochran Jr, James Herbert, Coelho Lopes De Sa, Rafael, Cohen, Hadar Yosef, Cardoso Coimbra, Artur Emanuel, Cole, Brian, Colijn, A. P., Collot, Johann, Conde Muino, Patricia, Connell, Simon Henry, Abusleme Hoffman, Angel Christian, Jones, Dominic Matthew, Connelly, Ian Allan, Constantinescu, S., Conventi, Francesco, Sarkar, Amanda Margaret, Cormier, Felix, Cormier, K. J. R., Corpe, Louie Dartmoor, Corradi, Massimo, Corrigan, Eric Edward, Corriveau, Francois, Ke, Yan, Costa Mezquita, Maria Jose, Costanza, Francesco, Costanzo, Davide, Cowan, Glen Douglas, Cowley, James William, Crane, Jonathan, Cranmer, Kyle Stuart, Creager, Rachael Ann, Crepe-renaudin, Sabine, Crescioli, Francesco, Kilgallon, Aaron Joseph, Cristinziani, Markus, Croft, Vincent Alexander, Crosetti, Giovanni, Cueto Gomez, Ana Rosario, Cuhadar Donszelmann, Tulay, Cui, Han, Cukierman, Aviv Ruben, Cunningham, William Reilly, Czekierda, Sabina Anna, Czodrowski, Patrick Karl, Klein, Lucas, Czurylo, Marta Maja, Da Cunha Sargedas De Sousa, Mario Jose, Da Fonseca Pinto, Joao Victor, Da Via, Cinzia, Dabrowski, Wladyslaw, Dachs, F., Dado, Tomas, Dahbi, Salah-eddine, Dai, Tiesheng, Dallapiccola, Carlo James, Knight, Timothy Michael, Dam, Mogens, D'amen, Gabriele, D'amico, Valerio, Damp, Johannes Frederic, Dandoy, Jeffrey Rogers, Daneri, Maria Florencia, Danninger, Matthias, Dao, Valerio, Darbo, Giovanni, Dartsi, O., Korn, Steffen, Dattagupta, Aparajita, Daubney, T., D'auria, Saverio, David, Claire Anne Sophie, Davidek, Tomas, Davis, Douglas Raymond, Dawson, Ian, De, Kaushik, De Asmundis, Riccardo, De Beurs, Marcus, Kortman, Bryan, De Castro, Stefano, De Groot, Nicolo, De Jong, Paulus Johannes, De La Torre Perez, Hector, De Maria, Antonio, De Pedis, Daniele, De Salvo, Alessandro, De Sanctis, Umberto, De Santis, M., De Santo, Antonella, Kuhn, Susanne Sabine, De Vivie De Regie, Jean-baptiste, Dedovich, Dmitry, Deiana, Allison Mccarn, Del Peso, Jose, Delabat Diaz, Yasiel, Delgove, D., Deliot, Frederic, Delitzsch, Chris Malena, Della Pietra, Massimo, Della Volpe, Domenico, Koultchitski, Iouri, Dell'acqua, Andrea, Dell'asta, Lidia, Delmastro, Marco, Delporte, C., Delsart, Pierre-antoine, Demers Konezny, Sarah Marie, Demichev, Mikhail, Demontigny, G., Denisov, Sergei Petrovich, D'eramo, Louis, Kumar, Mukesh, Derendarz, Dominik Karol, Derkaoui, Jamal Eddine, Derue, Frederic, Dervan, Paul John, Desch, Klaus Kurt, Dette, Karola, Deutsch, Christopher, Devesa, M. R., Deviveiros, Pier-olivier, Di Bello, Francesco Armando, Agarwala, Jinky, Kumari, Neelam, Di Ciaccio, Anna, Di Ciaccio, Lucia, Di Donato, Camilla, Di Girolamo, Alessandro, Di Gregorio, Giulia, Di Luca, Andrea, Di Micco, Biagio, Di Nardo, Roberto, Di Petrillo, K. F., Di Sipio, R., Lad, Nisha Nareshbhai, Diaconu, Cristinel, De Almeida Dias, Flavia, Dias Do Vale, Tiago, Diaz Gutierrez, Marco Aurelio, Diaz Capriles, Federico Guillermo, Dickinson, Jennet Elizabeth, Didenko, Mariia, Diehl, Edward Brereton, Dietrich, Janet, Diez Cornell, Sergio, Lalloue, Nathan, Diez Pardos, Carmen, Dimitrievska, Aleksandra, Ding, Wei, Dingfelder, Jochen Christian, Dittmeier, Sebastian, Dittus, Fridolin, Djama, Fares, Djobava, Tamar, Djuvsland, Julia Isabell, Barros Do Vale, Maria Aline, Leban, Blaz, Dobre, M., Dodsworth, D., Doglioni, Caterina, Dolejsi, Jiri, Dolezal, Zdenek, Donadelli, Marisilvia, Dong, Binbin, Donini, Julien Noce, D'onofrio, Adelina, D'onofrio, Monica, Le Compte, Thomas Joseph, Dopke, Jens, Doria, Alessandra, Dova, Maria Teresa, Doyle, Anthony Terence, Drechsler, Eric, Dreyer, Etienne, Dreyer, Timo, Drobac, Alec Swenson, Du, Dongshuo, Du Pree, Tristan Arnoldus, Leeuw, Lerothodi Leonard, Duan, Y., Dubinin, Filipp, Dubovsky, Michal, Dubreuil, Arnaud, Duchovni, Ehud, Duckeck, Gunter, Ducu, Otilia Anamaria, Duda, Dominik, Dudarev, Alexey, Duffield, E. M., Li, Chihao, D'uffizi, Matteo, Duflot, Laurent, Duehrssen-debling, Karl-michael, Dulsen, Carsten, Dumancic, M., Dumitriu, Ana Elena, Dunford, Monica Lynn, Dungs, Sascha, Duperrin, Arnaud Joel Yann, Yildiz, H. Duran, Lionti, Anthony Eric, Dueren, Michael Johannes, Durglishvili, Archil, Duschinger, D., Dutta, Baishali, Duvnjak, Damir, Dyckes, George Ian, Dyndal, Mateusz, Dysch, Samuel Dezso, Dziedzic, Bartosz Sebastian, Eggleston, Michael Glenn, Liss, Anthony Michael, Eifert, Till Felix, Eigen, Gerald, Einsweiler, Kevin Frank, Ekelof, Tord Johan Carl, El Jarrari, Hassnae, Ellajosyula, Venugopal, Ellert, Mattias Fredrik, Ellinghaus, Frank, Elliot, Alison Anne-marie, Ellis, Nicolas, Longo, Riccardo, Elmsheuser, Johannes, Elsing, Markus, Emeliyanov, Dmitry, Emerman, Alexander Zack, Enari, Yuji, Mondal, Buddhadeb, Erdmann, Johannes, Ereditato, Antonio, Erland, Paula Agnieszka, Errenst, Martin, Aparisi Pozo, Javier Alberto, Lu, Gangcheng, Escalier, Marc Achille, Escobar Ibanez, Carlos, Estrada Pastor, Oscar, Etzion, Erez, Evans, G. E., Evans, Harold, Evans, Meirin Oan, Ezhilov, Aleksei, Fabbri, Federica, Fabbri, Laura, Macdonell, Danika Marina, Fabiani, Veronica, Facini, Gabriel John, Fakhrutdinov, Rinat, Falciano, Speranza, Falke, Peter Johannes, Falke, Saskia, Faltova, Jana, Fang, Yi, Fang, Yaquan, Fanourakis, Georgios, Malecki, Pawel, Fanti, Marcello, Faraj, Mohammed, Farbin, Amir, Farilla, Addolorata, Farina, Edoardo Maria, Farooque, Trisha, Farrington, Sinead Marie, Farthouat, Philippe, Fassi, Farida, Fassnacht, P., Manisha, Manisha, Fassouliotis, Dimitrios, Faucci Giannelli, Michele, Fawcett, William James, Fayard, Louis, Fedin, Oleg, Fedorko, W., Fehr, Armin, Feickert, Matthew Carl, Feligioni, Lorenzo, Fell, Alexandra, Mathisen, Thomas, Feng, Cunfeng, Feng, Minyu, Fenton, Michael James, Fenyuk, Alexander, Ferguson, Sarah Whitney, Ferrando, James Edward, Ferrari, Arnaud, Ferrari, Pamela, Ferrari, Roberto, Ferreira de Lima, D. E., Mc Ginn, Christopher, Ferrere, Didier, Ferretti, Claudio, Fiedler, Frank Matthias, Filipcic, Andrej, Filthaut, Frank, Finelli, K. D., Castro Nunes Fiolhais, Miguel, Fiorini, Luca, Fischer, Florian, Fischer, Julian, Mc Kay, Madalyn Ann, Fisher, Wade Cameron, Fitschen, Tobias, Fleck, Ivor John, Fleischmann, Philipp, Flick, Tobias, Flierl, Bernhard Matthias, Flores, Lucas Macrorie, Flores Castillo, Luis Roberto, Follega, Francesco Maria, Fomin, Nikolai, Mentink, Matthias, Foo, Joel Hengwei, Forcolin, Giulio Tiziano, Forland, Blake Christopher, Formica, Andrea, Forster, Fabian Alexander, Forti, Alessandra, Fortin, Etienne Marie, Foti, Maria Giovanna, Fournier, Daniel Andre, Fox, Harald, Miralles Lopez, Marcos, Francavilla, Paolo, Francescato, Simone, Franchini, Matteo, Franchino, Silvia, Francis, David, Franco, Luca, Franconi, Laura, Franklin, Melissa, Frattari, Guglielmo, Fray, A. N., Miyazaki, Yuta, Freeman, Patrick Moriishi, Freund, Benjamin, Spolidoro Freund, Werner, Freundlich, Elena Murielle, Casadei, Diego, Froidevaux, Daniel, Frost, James Alexander, Fujimoto, Minori, Fukunaga, C., Fullana Torregrosa, Esteban, Aad, G, Bachas, K, Chiodini, G, Gorini, E, Gravili, F, Longo, L, Primavera, M, Reale, M, Schioppa, E, Spagnolo, S, Ventura, A, ATLAS Collaboration, And, UAM. Departamento de Física Teórica, Centre de Physique des Particules de Marseille (CPPM), Aix Marseille Université (AMU)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), Laboratoire d'Annecy de Physique des Particules (LAPP), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Centre National de la Recherche Scientifique (CNRS), Laboratoire de Physique des 2 Infinis Irène Joliot-Curie (IJCLab), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), Laboratoire de Physique de Clermont (LPC), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS)-Université Clermont Auvergne (UCA), Institut de Recherches sur les lois Fondamentales de l'Univers (IRFU), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay, Laboratoire de Physique Nucléaire et de Hautes Énergies (LPNHE (UMR_7585)), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université de Paris (UP), Laboratoire de Physique Subatomique et de Cosmologie (LPSC), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP ), Université Grenoble Alpes (UGA), Centre de Calcul de l'IN2P3 (CC-IN2P3), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), ATLAS, Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Aad, G., Abbott, B., Abbott, D. C., Abud, A. A., Abeling, K., Abhayasinghe, D. K., Abidi, S. H., Zeid, O. S. A., Abraham, N. L., Abramowicz, H., Abreu, H., Abulaiti, Y., Acharya, B. S., Achkar, B., Adam, L., Bourdarios, C. A., Adamczyk, L., Adamek, L., Adelman, J., Adiguzel, A., Adorni, S., Adye, T., Affolder, A. A., Afik, Y., Agapopoulou, C., Agaras, M. N., Aggarwal, A., Agheorghiesei, C., Aguilar-Saavedra, J. A., Ahmad, A., Ahmadov, F., Ahmed, W. S., Ai, X., Aielli, G., Akatsuka, S., Akbiyik, M., Akesson, T. P. A., Akilli, E., Akimov, A. V., Khoury, K. A., Alberghi, G. L., Albert, J., Verzini, M. J. A., Alderweireldt, S., Aleksa, M., Aleksandrov, I. N., Alexa, C., Alexopoulos, T., Alfonsi, A., Alfonsi, F., Alhroob, M., Ali, B., Ali, S., Aliev, M., Alimonti, G., Allaire, C., Allbrooke, B. M. M., Allen, B. W., Allport, P. P., Aloisio, A., Alonso, F., Alpigiani, C., Camelia, E. A., Estevez, M. A., Alviggi, M. G., Coutinho, Y. A., Ambler, A., Ambroz, L., Amelung, C., Amidei, D., Dos Santos, S. P. A., Amoroso, S., Amrouche, C. S., An, F., Anastopoulos, C., Andari, N., Andeen, T., Anders, J. K., Andrean, S. Y., Andreazza, A., Andrei, V., Anelli, C. R., Angelidakis, S., Angerami, A., Anisenkov, A. V., Annovi, A., Antel, C., Anthony, M. T., Antipov, E., Antonelli, M., Antrim, D. J. A., Anulli, F., Aoki, M., Pozo, J. A. A., Aparo, M. A., Bella, L. A., Aranzabal, N., Ferraz, V. A., Pereira, R. A., Arcangeletti, C., Arce, A. T. H., Arguin, J. -F., Argyropoulos, S., Arling, J. -H., Armbruster, A. J., Armstrong, A., Arnaez, O., Arnold, H., Tame, Z. P. A., Artoni, G., Asada, H., Asai, K., Asai, S., Asawatavonvanich, T., Asbah, N., Asimakopoulou, E. M., Asquith, L., Assahsah, J., Assamagan, K., Astalos, R., Atkin, R. J., Atkinson, M., Atlay, N. B., Atmani, H., Atmasiddha, P. A., Augsten, K., Austrup, V. A., Avolio, G., Ayoub, M. K., Azuelos, G., Babal, D., Bachacou, H., Bachas, K., Backman, F., Bagnaia, P., Bahmani, M., Bahrasemani, H., Bailey, A. J., Bailey, V. R., Baines, J. T., Bakalis, C., Baker, O. K., Bakker, P. J., Bakos, E., Gupta, D. B., Balaji, S., Balasubramanian, R., Baldin, E. M., Balek, P., Balli, F., Balunas, W. K., Balz, J., Banas, E., Bandieramonte, M., Bandyopadhyay, A., Banerjee, S., Barak, L., Barbe, W. M., Barberio, E. L., Barberis, D., Barbero, M., Barbour, G., Barillari, T., Barisits, M. -S., Barkeloo, J., Barklow, T., Barnea, R., Barnett, B. M., Barnett, R. M., Barnovska-Blenessy, Z., Baroncelli, A., Barone, G., Barr, A. J., Navarro, L. B., Barreiro, F., Guimaraes da Costa, J. B., Barron, U., Barsov, S., Bartels, F., Bartoldus, R., Bartolini, G., Barton, A. E., Bartos, P., Basalaev, A., Basan, A., Bassalat, A., Basso, M. J., Bates, R. L., Batlamous, S., Batley, J. R., Batool, B., Battaglia, M., Bauce, M., Bauer, F., Bauer, P., Bawa, H. S., Bayirli, A., Beacham, J. B., Beau, T., Beauchemin, P. H., Becherer, F., Bechtle, P., Beck, H. C., Beck, H. P., Becker, K., Becot, C., Beddall, A., Beddall, A. J., Bednyakov, V. A., Bedognetti, M., Bee, C. P., Beermann, T. A., Begalli, M., Begel, M., Behera, A., Behr, J. K., Beisiegel, F., Belfkir, M., Bell, A. S., Bella, G., Bellagamba, L., Bellerive, A., Bellos, P., Beloborodov, K., Belotskiy, K., Belyaev, N. L., Benchekroun, D., Benekos, N., Benhammou, Y., Benjamin, D. P., Benoit, M., Bensinger, J. R., Bentvelsen, S., Beresford, L., Beretta, M., Berge, D., Kuutmann, E. B., Berger, N., Bergmann, B., Bergsten, L. J., Beringer, J., Berlendis, S., Bernardi, G., Bernius, C., Bernlochner, F. U., Berry, T., Berta, P., Berthold, A., Bertram, I. A., Bylund, O. B., Besson, N., Bethke, S., Betti, A., Bevan, A. J., Beyer, J., Bhatta, S., Bhattacharya, D. S., Bhattarai, P., Bhopatkar, V. S., Bi, R., Bianchi, R. M., Biebel, O., Biedermann, D., Bielski, R., Bierwagen, K., Biesuz, N. V., Biglietti, M., Billoud, T. R. V., Bindi, M., Bingul, A., Bini, C., Biondi, S., Birch-sykes, C. J., Birman, M., Bisanz, T., Biswal, J. P., Biswas, D., Bitadze, A., Bittrich, C., Bjorke, K., Blazek, T., Bloch, I., Blocker, C., Blue, A., Blumenschein, U., Bobbink, G. J., Bobrovnikov, V. S., Bocchetta, S. S., Bogavac, D., Bogdanchikov, A. G., Bohm, C., Boisvert, V., Bokan, P., Bold, T., Bolz, A. E., Bomben, M., Bona, M., Bonilla, J. S., Boonekamp, M., Booth, C. D., Borbely, A. G., Borecka-Bielska, H. M., Borgna, L. S., Borisov, A., Borissov, G., Bortoletto, D., Boscherini, D., Bosman, M., Sola, J. D. B., Bouaouda, K., Boudreau, J., Bouhova-Thacker, E. V., Boumediene, D., Boveia, A., Boyd, J., Boye, D., Boyko, I. R., Bozson, A. J., Bracinik, J., Brahimi, N., Brandt, G., Brandt, O., Braren, F., Brau, B., Brau, J. E., Madden, W. D. B., Brendlinger, K., Brener, R., Brenner, L., Brenner, R., Bressler, S., Brickwedde, B., Briglin, D. L., Britton, D., Britzger, D., Brock, I., Brock, R., Brooijmans, G., Brooks, W. K., Brost, E., Bruckman de Renstrom, P. A., Bruers, B., Bruncko, D., Bruni, A., Bruni, G., Bruschi, M., Bruscino, N., Bryngemark, L., Buanes, T., Buat, Q., Buchholz, P., Buckley, A. G., Budagov, I. A., Bugge, M. K., Bulekov, O., Bullard, B. A., Burch, T. J., Burdin, S., Burgard, C. D., Burger, A. M., Burghgrave, B., Burr, J. T. P., Burton, C. D., Burzynski, J. C., Buscher, V., Buschmann, E., Bussey, P. J., Butler, J. M., Buttar, C. M., Butterworth, J. M., Butti, P., Buttinger, W., Vazquez, C. J. B., Buzatu, A., Buzykaev, A. R., Cabras, G., Urban, S. C., Caforio, D., Cai, H., Cairo, V. M. M., Cakir, O., Calace, N., Calafiura, P., Calderini, G., Calfayan, P., Callea, G., Caloba, L. P., Caltabiano, A., Lopez, S. C., Calvet, D., Calvet, S., Calvet, T. P., Calvetti, M., Toro, R. C., Camarda, S., Munoz, D. C., Camarri, P., Camerlingo, M. T., Cameron, D., Camincher, C., Campana, S., Campanelli, M., Camplani, A., Canale, V., Canesse, A., Bret, M. C., Cantero, J., Cao, T., Cao, Y., Capua, M., Cardarelli, R., Cardillo, F., Carducci, G., Carli, I., Carli, T., Carlino, G., Carlson, B. T., Carlson, E. M., Carminati, L., Carney, R. M. D., Caron, S., Carquin, E., Carra, S., Carratta, G., Carter, J. W. S., Carter, T. M., Casado, M. P., Casha, A. F., Castiglia, E. G., Castillo, F. L., Garcia, L. C., Gimenez, V. C., Castro, N. F., Catinaccio, A., Catmore, J. R., Cattai, A., Cavaliere, V., Cavasinni, V., Celebi, E., Celli, F., Cerny, K., Cerqueira, A. S., Cerri, A., Cerrito, L., Cerutti, F., Cervelli, A., Cetin, S. A., Chadi, Z., Chakraborty, D., Chan, J., Chan, W. S., Chan, W. Y., Chapman, J. D., Chargeishvili, B., Charlton, D. G., Charman, T. P., Chatterjee, M., Chau, C. C., Che, S., Chekanov, S., Chekulaev, S. V., Chelkov, G. A., Chen, B., Chen, C., Chen, C. H., Chen, H., Chen, J., Chen, S., Chen, S. J., Chen, X., Chen, Y., Chen, Y. -H., Cheng, H. C., Cheng, H. J., Cheplakov, A., Cheremushkina, E., El Moursli, R. C., Cheu, E., Cheung, K., Chevalerias, T. J. A., Chevalier, L., Chiarella, V., Chiarelli, G., Chiodini, G., Chisholm, A. S., Chitan, A., Chiu, I., Chiu, Y. H., Chizhov, M. V., Choi, K., Chomont, A. R., Chou, Y., Chow, Y. S., Christopher, L. D., Chu, M. C., Chu, X., Chudoba, J., Chwastowski, J. J., Chytka, L., Cieri, D., Ciesla, K. M., Cindro, V., Cioara, I. A., Ciocio, A., Cirotto, F., Citron, Z. H., Citterio, M., Ciubotaru, D. A., Ciungu, B. M., Clark, A., Clark, P. J., Clawson, S. E., Clement, C., Clissa, L., Coadou, Y., Cobal, M., Coccaro, A., Cochran, J., De Sa, R. C. L., Cohen, H., Coimbra, A. E. C., Cole, B., Colijn, A. P., Collot, J., Muino, P. C., Connell, S. H., Connelly, I. A., Constantinescu, S., Conventi, F., Cooper-Sarkar, A. M., Cormier, F., Cormier, K. J. R., Corpe, L. D., Corradi, M., Corrigan, E. E., Corriveau, F., Costa, M. J., Costanza, F., Costanzo, D., Cowan, G., Cowley, J. W., Crane, J., Cranmer, K., Creager, R. A., Crepe-Renaudin, S., Crescioli, F., Cristinziani, M., Croft, V., Crosetti, G., Cueto, A., Donszelmann, T. C., Cui, H., Cukierman, A. R., Cunningham, W. R., Czekierda, S., Czodrowski, P., Czurylo, M. M., Da Cunha Sargedas De Sousa, M. J., Da Fonseca Pinto, J. V., Da Via, C., Dabrowski, W., Dachs, F., Dado, T., Dahbi, S., Dai, T., Dallapiccola, C., Dam, M., D'Amen, G., D'Amico, V., Damp, J., Dandoy, J. R., Daneri, M. F., Danninger, M., Dao, V., Darbo, G., Dartsi, O., Dattagupta, A., Daubney, T., D'Auria, S., David, C., Davidek, T., Davis, D. R., Dawson, I., De, K., De Asmundis, R., De Beurs, M., De Castro, S., De Groot, N., de Jong, P., De la Torre, H., De Maria, A., De Pedis, D., De Salvo, A., De Sanctis, U., De Santis, M., De Santo, A., De Vivie De Regie, J. B., Dedovich, D. V., Deiana, A. M., Del Peso, J., Diaz, Y. D., Delgove, D., Deliot, F., Delitzsch, C. M., Della Pietra, M., Della Volpe, D., Dell'Acqua, A., Dell'Asta, L., Delmastro, M., Delporte, C., Delsart, P. A., Demers, S., Demichev, M., Demontigny, G., Denisov, S. P., D'Eramo, L., Derendarz, D., Derkaoui, J. E., Derue, F., Dervan, P., Desch, K., Dette, K., Deutsch, C., Devesa, M. R., Deviveiros, P. O., Di Bello, F. A., Di Ciaccio, A., Di Ciaccio, L., Di Donato, C., Di Girolamo, A., Di Gregorio, G., Di Luca, A., Di Micco, B., Di Nardo, R., Di Petrillo, K. F., Di Sipio, R., Diaconu, C., Dias, F. A., Dias Do Vale, T., Diaz, M. A., Capriles, F. G. D., Dickinson, J., Didenko, M., Diehl, E. B., Dietrich, J., Cornell, S. D., Pardos, C. D., Dimitrievska, A., Ding, W., Dingfelder, J., Dittmeier, S. J., Dittus, F., Djama, F., Djobava, T., Djuvsland, J. I., Vale, M. A. B. D., Dobre, M., Dodsworth, D., Doglioni, C., Dolejsi, J., Dolezal, Z., Donadelli, M., Dong, B., Donini, J., D'Onofrio, A., D'Onofrio, M., Dopke, J., Doria, A., Dova, M. T., Doyle, A. T., Drechsler, E., Dreyer, E., Dreyer, T., Drobac, A. S., Du, D., du Pree, T. A., Duan, Y., Dubinin, F., Dubovsky, M., Dubreuil, A., Duchovni, E., Duckeck, G., Ducu, O. A., Duda, D., Dudarev, A., Dudder, A. C., Duffield, E. M., D'Uffizi, M., Duflot, L., Duhrssen, M., Dulsen, C., Dumancic, M., Dumitriu, A. E., Dunford, M., Dungs, S., Duperrin, A., Yildiz, H. D., Duren, M., Durglishvili, A., Duschinger, D., Dutta, B., Duvnjak, D., Dyckes, G. I., Dyndal, M., Dysch, S., Dziedzic, B. S., Eggleston, M. G., Eifert, T., Eigen, G., Einsweiler, K., Ekelof, T., El Jarrari, H., Ellajosyula, V., Ellert, M., Ellinghaus, F., Elliot, A. A., Ellis, N., Elmsheuser, J., Elsing, M., Emeliyanov, D., Emerman, A., Enari, Y., Epland, M. B., Erdmann, J., Ereditato, A., Erland, P. A., Errenst, M., Escalier, M., Escobar, C., Pastor, O. E., Etzion, E., Evans, G. E., Evans, H., Evans, M. O., Ezhilov, A., Fabbri, F., Fabbri, L., Fabiani, V., Facini, G., Fakhrutdinov, R. M., Falciano, S., Falke, P. J., Falke, S., Faltova, J., Fang, Y., Fanourakis, G., Fanti, M., Faraj, M., Farbin, A., Farilla, A., Farina, E. M., Farooque, T., Farrington, S. M., Farthouat, P., Fassi, F., Fassnacht, P., Fassouliotis, D., Giannelli, M. F., Fawcett, W. J., Fayard, L., Fedin, O. L., Fedorko, W., Fehr, A., Feickert, M., Feligioni, L., Fell, A., Feng, C., Feng, M., Fenton, M. J., Fenyuk, A. B., Ferguson, S. W., Ferrando, J., Ferrari, A., Ferrari, P., Ferrari, R., Ferreira de Lima, D. E., Ferrer, A., Ferrere, D., Ferretti, C., Fiedler, F., Filipcic, A., Filthaut, F., Finelli, K. D., Fiolhais, M. C. N., Fiorini, L., Fischer, F., Fischer, J., Fisher, W. C., Fitschen, T., Fleck, I., Fleischmann, P., Flick, T., Flierl, B. M., Flores, L., Castillo, L. R. F., Follega, F. M., Fomin, N., Foo, J. H., Forcolin, G. T., Forland, B. C., Formica, A., Forster, F. A., Forti, A. C., Fortin, E., Foti, M. G., Fournier, D., Fox, H., Francavilla, P., Francescato, S., Franchini, M., Franchino, S., Francis, D., Franco, L., Franconi, L., Franklin, M., Frattari, G., Fray, A. N., Freeman, P. M., Freund, B., Freund, W. S., Freundlich, E. M., Frizzell, D. C., Froidevaux, D., Frost, J. A., Fujimoto, M., Fukunaga, C., Torregrosa, E. F., Fusayasu, T., Fuster, J., Gabrielli, A., Gadatsch, S., Gadow, P., Gagliardi, G., Gagnon, L. G., Gallardo, G. E., Gallas, E. J., Gallop, B. J., Goni, R. G., Gan, K. K., Ganguly, S., Gao, J., Gao, Y., Gao, Y. S., Walls, F. M. G., Garcia, C., Navarro, J. E. G., Pascual, J. A. G., Garcia-Argos, C., Garcia-Sciveres, M., Gardner, R. W., Garelli, N., Gargiulo, S., Garner, C. A., Garonne, V., Gasiorowski, S. J., Gaspar, P., Gaudiello, A., Gaudio, G., Gauzzi, P., Gavrilenko, I. L., Gavrilyuk, A., Gay, C., Gaycken, G., Gazis, E. N., Geanta, A. A., Gee, C. M., Gee, C. N. P., Geisen, J., Geisen, M., Gemme, C., Genest, M. 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L., Zhu, H., Zhu, J., Zhu, Y., Zhuang, X., Zhukov, K., Zhulanov, V., Zieminska, D., Zimine, N. I., Zimmermann, S., Zinonos, Z., Ziolkowski, M., Zivkovic, L., Zobernig, G., Zoccoli, A., Zoch, K., Zorbas, T. G., Zou, R., Zwalinski, L., Universidade do Minho, De Castro , S., Fabbri , L., Gabrielli , A., Rinaldi , L., Semprini Cesari , N., Sioli , M., Villa , M., Zoccoli , A., Bellagamba , L., Boscherini , D., Bruni , A., Bruni , G., Giacobbe , B., Polini , A., Sbarra , C., Sidoti , A., Franchini , M., Romano , M., Valentinetti , S., Alberghi , G. L., Lasagni Manghi , F, Massa , L., Vittori , C., Alfonsi , F, Cabras , G., Cervelli , A., Negrini , M., Todome , K., Carratta , G., Cavalli , N., Clissa , L., ATLAS collaboration, Współautorami artykułu są członkowie ATLAS Collaboration w liczbie 2934, Aloisio, Alberto, Alviggi, Mariagrazia, Canale, Vincenzo, Della Pietra, Massimo, Merola, Leonardo, Massarotti, Paolo, Conventi, Francesco, Rossi, Elvira, Carlino, Giampaolo, de Asmundis, Riccardo, Di Donato, Camilla, Doria, Alessandra, Iengo, Paolo, Izzo, Vincenzo, Perrella, Sabrina, Sekhniaidze, Givi, Cirotto, Francesco, Lavorgna, Marco, Giannini, Antonio, Atlas, Collaboration, ATLAS (IHEF, IoP, FNWI), XENON (IHEF, IoP, FNWI), and Other Research IHEF (IoP, FNWI)
Subjects: Experimental Evidence, LHC, ATLAS, High Energy Physics, Lepton universality, Physics::Instrumentation and Detectors, 13000 GeV-cms, Z0: branching ratio: upper limit, Flavour, General Physics and Astronomy, 01 natural sciences, +electron+tau%22">Z0 --> electron tau, High Energy Physics - Experiment, law.invention, Subatomär fysik, High Energy Physics - Experiment (hep-ex), law, branching ratio: upper limit [Z0], Subatomic Physics, scattering [p p], [PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex], Fundamental Principles, Settore FIS/01, 8000 GeV-cms, Physics, Large Hadron Collider, lepton flavor violation, new physics: search for, ATLAS experiment, lepton: flavor: violation, Branching Fractions, ATLAS, The Standard Model, CERN LHC Coll, colliding beams [p p], Neutrino, Proton Collisions, Particle Physics - Experiment, Z boson, p p: scattering, Particle physics, +muon+tau%22">Z0 --> muon tau, CERN Lab, flavor: violation [lepton], 530 Physics, Ciências Naturais::Ciências Físicas, Ciências Físicas [Ciências Naturais], Weak Interactions, FOS: Physical sciences, Weak interaction, Standard Model, weak interaction, 0103 physical sciences, Centre-of-Mass Energies, ddc:530, rare decay [Z0], High Energy Physics, flavor: oscillation, 010306 general physics, Collider, tau: hadronic decay, Bosons, Science & Technology, charge: electric, 010308 nuclear & particles physics, High Energy Physics::Phenomenology, family: 3, Física, leptonic decay [Z0], sensitivity, family: conservation law, LHC, Particle Physics, charged-lepton-flavour violation, Z0: leptonic decay, Physics::Accelerator Physics, High Energy Physics::Experiment, Z0: rare decay, hadronic decay [tau], Hadron-hadron collisions, p p: colliding beams, new particle, experimental results, Lepton
Abstract: We acknowledge our late colleague, Olga Igonkina (1973-2019), for inspiring and driving this and other searches for lepton flavour violation within the ATLAS experiment. Her curiosity and intelligence remain an inspiration to the ATLAS Collaboration. We thank CERN for the very successful operation of the LHC, as well as the support staff from our institutions, without whom ATLAS could not be operated efficiently. We acknowledge the support of ANPCyT, Argentina; YerPhI, Armenia; ARC, Australia; BMWFW and FWF, Austria; ANAS, Azerbaijan; SSTC, Belarus; CNPq and FAPESP, Brazil; NSERC, NRC and CFI, Canada; CERN; ANID, Chile; CAS, MOST and NSFC, China; COLCIENCIAS, Colombia; MSMT CR, MPO CR and VSC CR, Czech Republic; DNRF and DNSRC, and and NRC KI, Russia Federation; JINR; MESTD, Serbia; MSSR, Slovakia; ARRS and MIZS, Slovenia; DST/NRF, South Africa; MICINN, Spain; SRC and Wallenberg Foundation, Sweden; SERI, SNSF and Cantons of Bern and Geneva, Switzerland; MOST, Taiwan; TAEK, Turkey; STFC, UK; DOE and NSF, United States. In addition, individual groups and members have received support from BCKDF, CANARIE, Compute Canada and CRC, Canada; ERC, ERDF, Horizon 2020, Marie Sklodowska-Curie Actions and COST, EU; Investissements d'Avenir Labex, Investissements d'Avenir Idex and ANR, France; DFG and AvH Foundation, Germany; Herakleitos, Thales and Aristeia programmes co-financed by EU-ESF and the Greek NSRF, Greece; BSF-NSF and GIF, Israel; La Caixa Banking Foundation, CERCA Programme Generalitat de Catalunya and PROMETEO and GenT Programmes Generalitat Valenciana, Spain; Goran Gustafssons Stiftelse, Sweden; The Royal Society and Leverhulme Trust, UK. The crucial computing support from all WLCG partners is acknowledged gratefully, in particular from CERN, the ATLAS Tier-1 facilities at TRIUMF (Canada), NDGF (Denmark, Norway, Sweden), CC-IN2P3 (France), KIT/GridKA (Germany), INFN-CNAF (Italy), NL-T1 (Netherlands), PIC (Spain), ASGC (Taiwan), RAL (UK) and BNL (USA), the Tier-2 facilities worldwide and large non-WLCG resource providers. Major contributors of computing resources are listed in ref. 54., Leptons with essentially the same properties apart from their mass are grouped into three families (or flavours). The number of leptons of each flavour is conserved in interactions, but this is not imposed by fundamental principles. Since the formulation of the standard model of particle physics, the observation of flavour oscillations among neutrinos has shown that lepton flavour is not conserved in neutrino weak interactions. So far, there has been no experimental evidence that this also occurs in interactions between charged leptons. Such an observation would be a sign of undiscovered particles or a yet unknown type of interaction. Here the ATLAS experiment at the Large Hadron Collider at CERN reports a constraint on lepton-flavour-violating effects in weak interactions, searching for Z-boson decays into a tau lepton and another lepton of different flavour with opposite electric charge. The branching fractions for these decays are measured to be less than 8.1 x 10(-6) (e tau) and 9.5 x 10(-6) (mu tau) at the 95% confidence level using 139 fb(-1) of proton-proton collision data at a centre-of-mass energy of root s = 13 TeV and 20.3 fb(-1) at root s = 8 TeV. These results supersede the limits from the Large Electron-Positron Collider experiments conducted more than two decades ago., ANPCyT, YerPhI, Armenia, Australian Research Council, BMWFW, Austrian Science Fund (FWF), Azerbaijan National Academy of Sciences (ANAS), SSTC, Belarus, Conselho Nacional de Desenvolvimento Cientifico e Tecnologico (CNPQ), Fundacao de Amparo a Pesquisa do Estado de Sao Paulo (FAPESP), Natural Sciences and Engineering Research Council of Canada (NSERC), Canada Foundation for Innovation, CERN, ANID, Chile, Chinese Academy of Sciences, MOST, National Natural Science Foundation of China (NSFC), Departamento Administrativo de Ciencia, Tecnologia e Innovacion Colciencias, Ministry of Education, Youth & Sports - Czech Republic, MPO CR, Czech Republic Government, DNRF, Danish Natural Science Research Council, NRC KI, Russia Federation, JINR, Ministry of Education, Science & Technological Development, Serbia, MSSR, Slovakia, Slovenian Research Agency - Slovenia, MIZS, Slovenia, DST/NRF, South Africa, Spanish Government, SRC, Wallenberg Foundation, Sweden, SERI, Swiss National Science Foundation (SNSF), Cantons of Bern and Geneva, Switzerland, Ministry of Science and Technology, Taiwan, Ministry of Energy & Natural Resources - Turkey, UK Research & Innovation (UKRI), Science & Technology Facilities Council (STFC), United States Department of Energy (DOE), National Science Foundation (NSF), BCKDF, CANARIE, Compute Canada and CRC, Canada, European Research Council (ERC), European Commission European Commission Horizon Marie Sklodowska-Curie Actions and COST, EU, French National Research Agency (ANR), German Research Foundation (DFG), European Commission, Alexander von Humboldt Foundation, Thales Group, Aristeia programmes, Greek NSRF, Greece, BSF-NSF, German-Israeli Foundation for Scientific Research and Development, La Caixa Foundation, CERCA Programme Generalitat de Catalunya and PROMETEO, GenT Programmes Generalitat Valenciana, Spain, Goran Gustafssons Stiftelse, Sweden, The Royal Society and Leverhulme Trust, UK, WLCG, ATLAS Tier-1 facilities at TRIUMF (Canada), NDGF (Denmark, Norway, Sweden), CC-IN2P3 (France), KIT/GridKA (Germany), INFN-CNAF (Italy), Netherlands Government, PIC (Spain), ASGC (Taiwan), RAL (UK), BNL (USA), Tier-2 facilities worldwide and large non-WLCG, National Research Centre (NRC)
Published: 2021
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46. Impact of COVID-19 Related Lockdown on the Frequency of Acute and Oncological Surgeries—Lessons Learned From an Austrian University Hospital

Author: Abram, Julia, primary, Gasteiger, Lukas, additional, Putzer, Gabriel, additional, Spraider, Patrick, additional, Mathis, Simon, additional, Hell, Tobias, additional, and Martini, Judith, additional
Published: 2021
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47. Der Karajan von Stans

Author: Mathis, Simon
Published: 2021
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48. Evidence for Higgs boson decays to a low-mass dilepton system and a photon in pp collisions at s=13 TeV with the ATLAS detector

Author: Aad, Georges, Abbott, Braden Keim, Abreu Aguilar, Henso Javier, Argyropoulos, Spyridon, Hankache, Robert, Hansen, Eva Brottmann, Hansen, Joergen Beck, Hansen, Joern Dines, Hansen, Maike Christina, Hansen, Peter Henrik, Hanson, Emily Claire, Hara, Kazuhiko, Harenberg, Torsten, Harkusha, Siarhei, Arling, Jan-Hendrik, Harris, Ynyr Theophilus, Harrison, Paul Fraser, Hartman, Nicole Michelle, Hartmann, Nikolai, Hasegawa, Yoji, Hasib, A. A., Hassani, Samira, Haug, Sigve, Hauser, Reiner, Havranek, Miroslav, Armbruster, Aaron James, Hawkes, Christopher, Hawkings, Richard John, Hayashida, Shota, Hayden, Daniel Adam, Hayes, Christopher Robyn, Hayes, Robin, Hays, Christopher Paul, Hays, Jonathan Michael, Hayward, Helen Sarah, Haywood, Stephen James, Armstrong, Alexander, He, Fudong, He, Yunjian, He, Yajun, Heath, Matthew Peter, Hedberg, Vincent, Heggelund, Andreas Lokken, Hehir, Natasha Domenica, Heidegger, Constantin, Heidegger, Kim Katrin, Heidorn, William Dale, Arnaez, Olivier Ludovic, Heilman, Jesse Alan, Heim, Sarah, Heim, Timon Frank-Thomas, Heinemann, Beate, Heinlein, James Geddy, Heinrich, Jochen Jens, Heinrich, Lukas Alexander, Hejbal, Jiri, Helary, Louis, Held, Alexander, Arnold, Hannah Ruth, Hellesund, Simen, Helling, Cole Michael, Hellman, Sten Lennart, Helsens, Clement, Henderson, Robert, Henkelmann, Lars, Henriques Correia, Ana Maria, Herde, Hannah Elizabeth, Hernandez Jimenez, Yesenia, Herr, Holger Arnold, Arrubarrena Tame, Zulit Paola, Herrmann, Maximilian Georg, Herrmann, Tim, Herten, Leonhard Gregor, Hertenberger, Ralf, Hervas, Luis, Hessey, Nigel Paul, Hibi, Hiroaki, Higashino, Satoshi, Higon-Rodriguez, Emilio, Hildebrand, Kevin, Artoni, Giacomo, Hill, Kurt Keys, Hiller, Karlheinz, Hillier, Stephen James, Hils, Maximilian, Hinchliffe, Ian, Hinterkeuser, Florian, Hirose, Minoru, Hirose, Shigeki, Hirschbuehl, Dominic, Hiti, Bojan, Asada, Haruka, Hladik, Ondrej, Hobbs, John David, Hobincu, Radu, Tal Hod, Noam, Hodgkinson, Mark Christopher, Hodkinson, Benjamin Haslum, Hoecker, Andreas, Hofer, Judith, Hohn, David, Holm, Tanja, Asai, Kanae, Holmes, Tova Ray, Holzbock, Michael Helmut, Hommels, Bart Leonard Anton, Honan, Benjamin Paul, Hong, Tae Min, Honig, Jan Cedric, Honle, Andreas, Hooberman, Benjamin Henry, Hopkins, Walter Howard, Horii, Yasuyuki, Abulaiti, Yiming, Asai, Shoji, Horn, Philipp, Horyn, Lesya Anna, Hou, Suen, Howarth, James William, Hoya, Joaquin, Hrabovsky, Miroslav, Hrynevich, Aliaksei, Hrynova, Tetiana, Hsu, Pai-Hsien, Hsu, Shih-Chieh, Asbah, Nedaa B I, Hu, Qipeng, Hu, Shuyang, Hu, Yifan, Huang, Danping, Huang, Xiaozhong, Huang, Yicong, Huang, Yanping, Hubacek, Zdenek, Hubaut, Fabrice, Hubner, Michael, Asimakopoulou, Eleni Myrto, Huegging, Fabian Georg, Huffman, Todd Brian, Huhtinen, Mika, Hulsken, Raphael, Hunter, Robert Francis, Huseynov, Nazim, Huston, Joey, Huth, John Edward, Hyneman, Rachel Jordan, Hyrych, Sofiia, Asquith, Lily, Iacobucci, Giuseppe, Iakovidis, Georgios, Ibragimov, Iskander, Iconomidou-Fayard, Lydia, Iengo, Paolo, Ignazzi, Rosanna, Iguchi, Ryunosuke, Iizawa, Tomoya, Ikegami, Yoichi, Ilic, Nikolina, Assahsah, Jihad, Imam, Hajar, Introzzi, Gianluca, Iodice, Mauro, Iordanidou, Kalliopi, Ippolito, Valerio, Ishino, Masaya, Islam, Wasikul, Issever, Cigdem, Istin, Serhat, Iturbe Ponce, Julia Mariana, Assamagan, Ketevi Adikle, Iuppa, Roberto, Ivina, Anna, Izen, Joseph Michael, Izzo, Vincenzo, Jacka, Petr, Jackson, Paul Douglas, Jacobs, Ruth Magdalena, Jaeger, Benjamin Paul, Jagfeld, Christoph, Jakel, Gunnar, Astalos, Robert, Jakobi, Katharina Bianca, Jakobs, Karl, Jakoubek, Tomas, Jamieson, Jonathan, Janas, Krzysztof Wojciech, Jarlskog, Goran, Jaspan, Adam Elliott, Javadov, Namig, Javurek, Tomas, Javurkova, Martina, Atkin, Ryan Justin, Jeanneau, Fabien, Jeanty, Laura, Jejelava, Juansher, Jenni, Peter, Jezequel, Stephane, Jia, Jiangyong, Jia, Zihang, Jiang, Yi, Jiggins, Stephen, Jimenez Morales, Fabricio Andres, Atkinson, Markus Julian, Jimenez Pena, Javier, Jin, Shan, Jinaru, Adam, Jinnouchi, Osamu, Jivan, Harshna, Johansson, Per Daniel Conny, Johns, Kenneth Arthur, Johnson, Christian, Jones, Eleanor, Jones, Roger, Atlay, Naim Bora, Jones, Timothy John, Jovicevic, Jelena, Ju, Xiangyang, Junggeburth, Johannes Josef, Juste Rozas, Aurelio, Kaczmarska, Anna, Kado, Marumi Marcello, Kagan, Harris Peter, Kagan, Michael Aaron, Kahn, Alan Mathew, Abusleme Hoffman, Angel Christian, Atmani, Hicham, Kahra, Christian, 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Teng Jian, Ayoub, Mohamad Kassem, Khoriauli, Gia, Khramov, Evgeny, Khubua, Jemal, Kido, Shogo, Kiehn, Moritz Simon Maria, Kilgallon, Aaron Joseph, Kim, Eunchong, Kim, Young-Kee, Kimura, Naoki, Kirchhoff, Andreas, Azuelos, Georges, Kirchmeier, David, Kirk, Julie, Kiryunin, Andrey, Kishimoto, Tomoe, Kisliuk, Dylan Perry, Kitali, Vincent, Kitsaki, Chara, Kivernyk, Oleh, Klapdor-Kleingrothaus, Thorwald, Klassen, Martin, Babal, Dominik, Klein, Christoph Thomas, Klein, Lucas, Klein, Matthew Henry, Klein, Max, Klein, Uta, Klimek, Pawel Jan, Klimentov, Alexei, Klimpel, Fabian, Klingl, Tobias, Klioutchnikova, Tatiana, Bachacou, Henri, Klitzner, Felix Fidelio, Kluit, Peter Martin, Kluth, Stefan, Kneringer, Emmerich, Knight, Timothy Michael, Knue, Andrea Helen, Kobayashi, Dai, Kobel, Michael, Kocian, Martin Lukas, Kodama, Takafumi, Bachas, Konstantinos, Kodys, Peter, Kock, Daniela Maria, Konig, Philipp Thomas, Koffas, Thomas, Koehler, Nicolas Maximilian, Kolb, Mathis Simon, Koletsou, Iro, Komarek, Tomas, Koeneke, Karsten, Kong, Albert Xing Yi, Acharya, Bobby Samir, Backman, Karl Filip, Kono, Takanori, Konstantinides, Vasilis, Konstantinidis, Nikolaos, Konya, Balazs, Kopeliansky, Revital, Koperny, Stefan Zenon, Korcyl, Krzysztof Marian, Kordas, Konstantinos, Koren, Guy, Korn, Andreas Michael, Bagnaia, Paolo, Korn, Steffen, Korolkov, Ilya, Korolkova, Elena, Korotkova, Natalia, Kortner, Oliver, Kortner, Sandra, Kostyukhin, Vadim, Kotsokechagia, Anastasia, Kotwal, Ashutosh Vijay, Koulouris, Aimilianos, Bahmani, Marzieh, Kourkoumeli-Charalampidi, Athina, Kourkoumelis, Christine, Kourlitis, Evangelos, Kowalewski, Robert Victor, Kozanecki, Witold, Kozhin, Anatoly, Kramarenko, Victor, Kramberger, Gregor, Krasnopevtsev, Dimitrii, Krasny, Mieczyslaw Witold, Bahrasemani, Sina, Krasznahorkay, Attila, Kremer, Jakub Andrzej, Kretzschmar, Jan, Kreul, Ken Matthias, Krieger, Peter, Krieter, Ferdinand, Krishnamurthy, Samyukta, Krishnan, Anjali, Krivos, Martin, Krizka, Karol, Bailey, Adam, Kroeninger, Kevin Alexander, Kroha, Hubert, Kroll, Jiri, Kroll, Joseph Ira, Krowpman, Kyle Stuart, Kruchonak, Uladzimir, Krueger, Hans, Krumnack, Nils Erik, Kruse, Mark Charles, Krzysiak, Janina Anna, Bailey, Virginia Ruth, Kubota, Arisa, Kuchinskaia, Olesia, Kuday, Sinan, Kuchler, Daniela, Kuechler, Jan Thomas, Kuhn, Susanne Sabine, Kuhl, Thorsten, Kukhtin, Victor, Koultchitski, Iouri, Kuleshov, Sergey, Baines, John, Kumar, Mukesh, Kumari, Neelam, Kuna, Marine, Kupco, Alexander, Kupfer, Tobias, Kuprash, Oleg, Kurashige, Hisaya, Kurchaninov, Leonid, Kurochkin, Yurii, Kurova, Anastasiia, Bakalis, Christos, Kurth, Matthew Glenn, Kuwertz, Emma Sian, Kuze, Masahiro, Kvam, Audrey Katherine, Kvita, Jiri, Kwan, Tony, Lacasta Llacer, Carlos, Lacava, Francesco, Lack, David Philip John, Lacker, Heiko Markus, Baker, Keith Oliver, Lacour, Didier, Ladygin, Evgeny, Lafaye, Remi, Laforge, Bertrand, Lagouri, Theodota, Lai, Stanley Tsai-Ting, Lakomiec, Inga Katarzyna, Lalloue, Nathan, Lambert, 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Miotto, Giovanna, Leight, William Axel, Leisos, Antonios, Lisboa Leite, Marco Aurelio, Leitgeb, Clara Elisabeth, Leitner, Rupert, Leney, Katharine, Lenz, Tatjana, Baldin, Evgenii, Leone, Sandra, Leonidopoulos, Christos, Leopold, Alexander, Leroy, Claude, Les, Robert, Lester, Christopher Gorham, Levchenko, Mikhail, Leveque, Jessica, Levin, Daniel Sheldon, Levinson, Lorne Joel, Balek, Petr, Lewis, Daniel James, Li, Boyang, Li, Bing, Li, Changqiao, Li, Fan, Li, Heng, Li, Haifeng, Li, Jing, Li, Ke, Li, Liang, Ballabene, Eric, Li, Mengran, Li, Quanyin, Li, Shu, Li, Xingguo, Li, Yichen, Li, Zhi, Li, Zhiying, Li, Zhelun, Li, Zhiyuan, Liang, Zhijun, Balli, Fabrice, Liberatore, Marianna, Liberti, Barbara, Lie, Ki, Lin, Chiao-Ying, Lin, Kuan-Yu, Linck, Rebecca Anne, Lindley, Rachel Elizabeth, Lindon, Jack Henry, Linss, Arthur, Lionti, Anthony Eric, Balunas, William Keaton, Lipeles, Elliot David, Lipniacka, Anna, Liss, Anthony Michael, Lister, Alison Claire, Little, Jared David, Liu, Bo, Liu, Bingxuan, Liu, Jianbei, Liu, Jesse Kar Kee, Liu, Kun, Balz, Johannes, Liu, Minghui, Liu, Mingyi, Liu, Peilian, Liu, Xiaotian, Liu, Yi, Liu, Yang, Liu, Yanlin, Liu, Yanwen, Livan, Michele, Lleres, Annick, Adam, Lennart, Banas, Elzbieta Anna, Llorente Merino, Javier, Lloyd, Stephen, Lobodzinska, Ewelina Maria, Loch, Peter, Loffredo, Salvatore, Lohse, Thomas, Lohwasser, Kristin, Lokajicek, Milos, Long, Jonathan David, Long, Robin Eamonn, Bandieramonte, Marilena, Longarini, Iacopo, Longo, Luigi, Longo, Riccardo, Lopez Paz, Ivan, Lopez Solis, Alvaro, Lorenz, Jeanette Miriam, Lorenzo Martinez, Narei, Lory, Alexander Mario, Loesle, Alena, Lou, Xuanhong, Bandyopadhyay, Anjishnu, Lou, Xinchou, Lounis, Abdenour, Love, Jeremy Robert, Love, Peter Allan, Lozano Bahilo, Jose Julio, Lu, Gangcheng, Lu, Miaoran, Lu, Sicong, Lu, Yun-Ju, Lubatti, Henry, Barak, Liron, Luci, Claudio, Lucio Alves, Fabio Lucio, Lucotte, Arnaud, Luehring, Frederick, Luise, Ilaria, Luminari, Lamberto, Lund-Jensen, Bengt, Luongo, Nicholas Andrew, Lutz, Margaret Susan, Lynn, David, Barbe, William Mickael, Lyons, Harry John, Lysak, Roman, Lytken, Else, Lyu, Feng, Lyubushkin, Vladimir, Lyubushkina, Tatiana, Ma, Hong, Ma, Lianliang, Ma, Yanhui, Macdonell, Danika Marina, Barberio, Elisabetta Luigia, Maccarrone, Giovanni, Macdonald, Calum Michael, Macdonald, Jack Cameron, Madar, Romain Jacques, Mader, Wolfgang Franz, Madugoda Ralalage Don, Madhuranga, Madysa, Nico, Maeda, Jumpei, Maeno, Tadashi, Maerker, Max, Barberis, Dario, Magerl, Veronika, Magro, Jacopo, Mahon, Devin James, Maidantchik, Carmen Lucia Lodi, Maio, Amelia, Maj, Klaudia, Majersky, Oliver, Majewski, Stephanie, Makovec, Nikola, Malaescu, Bogdan, Barbero, Marlon Benoit, Malecki, Pawel, Maleev, Victor, Malek, Fairouz, Malito, Davide, Mallik, Usha, Malone, Claire, Maltezos, Stavros, Malyukov, Sergei, Mamuzic, Judita, Mancini, Giada, Barbour, Gregory, Mandalia, Jesal Paresh, Mandic, Igor, Manhaes De Andrade Filho, Luciano, Maniatis, Ioannis Michail, 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Torbjorn, Mobius, Silke, Mochizuki, Kazuya, Moder, Paul, Mogg, Philipp, Mohapatra, Soumya, Mokgatitswane, Gaogalalwe, Mondal, Buddhadeb, Mondal, Santu, Monig, Klaus Werner, Barreiro Guimaraes Da Costa, Joao Pedro, Monnier, Emmanuel, Montalbano, Alyssa Rae, Montejo Berlingen, Javier, Montella, Marco, Monticelli, Fernando Gabriel, Morange, Nicolas Rene Jean, Moreira De Carvalho, Ana Luisa, Moreno Llacer, Maria, Moreno Martinez, Carlos, Morettini, Paolo, Barron, Uriel, Morgenstern, Marcus Matthias, Morgenstern, Stefanie, Mori, Daniel, Morii, Masahiro, Morinaga, Masahiro, Morisbak, Vanja, Morley, Anthony Keith, Morris, Alice Polyxeni, Morvaj, Ljiljana, Moschovakos, Paraschos, Barsov, Sergey, Moser, Brian, Mosidze, Maia, Moskalets, Tetiana, Moskvitina, Polina, Moss, Joshua James, Moyse, Edward, Muanza, Steve Guy, Mueller, James Alfred, Muenstermann, Daniel, Mullier, Geoffrey, Bartels, Falk, Mullin, Joseph James, Mungo, Davide Pietro, Munoz Martinez, Jose Luis, Munoz Sanchez, Francisca Javiela, Murin, Martin, Murin, Pavel, Murray, William John, Murrone, Alessia, Muse, Joseph M, Muskinja, Miha, Bartoldus, Rainer, Mwewa, Chilufya, Myagkov, Alexey, Myers, Ava Anne, Myers, Gregory William, Myers, John, Myska, Miroslav, Nachman, Benjamin Philip, Nackenhorst, Olaf, Nag, Abhishek, Nagai, Koichi, Bartolini, Giovanni, Nagano, Kunihiro, Nagle, James Lawrence, Nagy, Elemer, Nairz, Armin Michael, Higuchi, Yu, Nakamura, Koji, Nanjo, Hajime, Napolitano, Fabrizio, Naranjo Garcia, Roger Felipe, Narayan, Rohin Thampilali, Barton, Adam Edward, Naryshkin, Iurii, Naseri, Mohsen, Naumann, Thomas, Navarro, Gabriela Alejandra, Navarro Gonzalez, Josep, Nechaeva, Polina, Nechansky, Filip, Neep, Thomas James, Negri, Andrea, Negrini, Matteo, Bartos, Pavol, Nellist, Clara Jean May, Nelson, Christina, Nelson, Kevin Michael, Nelson, Michael Edward, Nemecek, Stanislav, Nessi, Marzio, Neubauer, Mark Stephen, Neuhaus, Friedemann, Neumann, Manuel, Newhouse, Robin, Adamek, Lukas, Basalaev, Artem, 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Jean-Francois, Hamer, Matthias, Hamity, Guillermo Nicolas, Han, Kunlin, Han, Liangliang, Han, Liang, Han, Shuo, Han, Yi Fei, Hanagaki, Kazunori, Hance, Michael, Hank, Michael Donald, Centre de Physique des Particules de Marseille (CPPM), Aix Marseille Université (AMU)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), Laboratoire d'Annecy de Physique des Particules (LAPP), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Centre National de la Recherche Scientifique (CNRS), Laboratoire de Physique des 2 Infinis Irène Joliot-Curie (IJCLab), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), Laboratoire de Physique de Clermont (LPC), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS)-Université Clermont Auvergne (UCA), Institut de Recherches sur les lois Fondamentales de l'Univers (IRFU), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay, Laboratoire de Physique Nucléaire et de Hautes Énergies (LPNHE (UMR_7585)), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Laboratoire de Physique Subatomique et de Cosmologie (LPSC), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP ), Université Grenoble Alpes (UGA), Centre de Calcul de l'IN2P3 (CC-IN2P3), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), ATLAS, Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université de Paris (UP), Aad, G., Abbott, B., Abbott, D. C., Abed Abud, A., Abeling, K., Abhayasinghe, D. K., Abidi, S. H., Abouzeid, O. S., Abraham, N. L., Abramowicz, H., Abreu, H., Abulaiti, Y., Abusleme Hoffman, A. C., Acharya, B. S., Achkar, B., Adam, L., Adam Bourdarios, C., Adamczyk, L., Adamek, L., Adelman, J., Adiguzel, A., Adorni, S., Adye, T., Affolder, A. A., Afik, Y., Agapopoulou, C., Agaras, M. N., Aggarwal, A., Agheorghiesei, C., Aguilar-Saavedra, J. A., Ahmad, A., Ahmadov, F., Ahmed, W. S., Ai, X., Aielli, G., Akatsuka, S., Akbiyik, M., Akesson, T. P. A., Akilli, E., Akimov, A. V., Al Khoury, K., Alberghi, G. L., Albert, J., Alconada Verzini, M. J., Alderweireldt, S., Aleksa, M., Aleksandrov, I. N., Alexa, C., Alexopoulos, T., Alfonsi, A., Alfonsi, F., Alhroob, M., Ali, B., Ali, S., Aliev, M., Alimonti, G., Allaire, C., Allbrooke, B. M. M., Allport, P. P., Aloisio, A., Alonso, F., Alpigiani, C., Alunno Camelia, E., Alvarez Estevez, M., Alviggi, M. G., Amaral Coutinho, Y., Ambler, A., Ambroz, L., Amelung, C., Amidei, D., Amor Dos Santos, S. P., Amoroso, S., Amrouche, C. S., Anastopoulos, C., Andari, N., Andeen, T., Anders, J. K., Andrean, S. Y., Andreazza, A., Andrei, V., Angelidakis, S., Angerami, A., Anisenkov, A. V., Annovi, A., Antel, C., Anthony, M. T., Antipov, E., Antonelli, M., Antrim, D. J. A., Anulli, F., Aoki, M., Aparisi Pozo, J. A., Aparo, M. A., Aperio Bella, L., Aranzabal, N., Araujo Ferraz, V., Arcangeletti, C., Arce, A. T. H., Arena, E., Arguin, J. -F., Argyropoulos, S., Arling, J. -H., Armbruster, A. J., Armstrong, A., Arnaez, O., Arnold, H., Arrubarrena Tame, Z. P., Artoni, G., Asada, H., Asai, K., Asai, S., Asbah, N. A., Asimakopoulou, E. M., Asquith, L., Assahsah, J., Assamagan, K., Astalos, R., Atkin, R. J., Atkinson, M., Atlay, N. B., Atmani, H., Atmasiddha, P. A., Augsten, K., Austrup, V. A., Avolio, G., Ayoub, M. K., Azuelos, G., Babal, D., Bachacou, H., Bachas, K., Backman, F., Bagnaia, P., Bahmani, M., Bahrasemani, H., Bailey, A. J., Bailey, V. R., Baines, J. T., Bakalis, C., Baker, O. K., Bakker, P. J., Bakos, E., Bakshi Gupta, D., Balaji, S., Balasubramanian, R., Baldin, E. M., Balek, P., Ballabene, E., Balli, F., Balunas, W. K., Balz, J., Banas, E., Bandieramonte, M., Bandyopadhyay, A., Barak, L., Barbe, W. M., Barberio, E. L., Barberis, D., Barbero, M., Barbour, G., Barends, K. N., Barillari, T., Barisits, M. -S., Barkeloo, J., Barklow, T., Barnett, B. M., Barnett, R. M., Barnovska-Blenessy, Z., Baroncelli, A., Barone, G., Barr, A. J., Barranco Navarro, L., Barreiro, F., Barreiro Guimaraes da Costa, J., Barron, U., Barsov, S., Bartels, F., Bartoldus, R., Bartolini, G., Barton, A. E., Bartos, P., Basalaev, A., Basan, A., Bashta, I., Bassalat, A., Basso, M. J., Basson, C. R., Bates, R. L., Batlamous, S., Batley, J. R., Batool, B., Battaglia, M., Bauce, M., Bauer, F., Bauer, P., Bawa, H. S., Bayirli, A., Beacham, J. B., Beau, T., Beauchemin, P. H., Becherer, F., Bechtle, P., Beck, H. P., Becker, K., Becot, C., Beddall, A. J., Bednyakov, V. A., Bee, C. P., 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., Belotskiy, K., Belyaev, N. L., Benchekroun, D., Benhammou, Y., Benjamin, D. P., Benoit, M., Bensinger, J. R., Bentvelsen, S., Beresford, L., Beretta, M., Berge, D., Bergeaas Kuutmann, E., Berger, N., Bergmann, B., Bergsten, L. J., Beringer, J., Berlendis, S., Bernardi, G., Bernius, C., Bernlochner, F. U., Berry, T., Berta, P., Berthold, A., Bertram, I. A., Bessidskaia Bylund, O., Bethke, S., Betti, A., Bevan, A. J., Bhatta, S., Bhattacharya, D. S., Bhattarai, P., Bhopatkar, V. S., Bi, R., Bianchi, R. M., Biebel, O., Bielski, R., Bierwagen, K., Biesuz, N. V., Biglietti, M., Billoud, T. R. V., Bindi, M., Bingul, A., Bini, C., Biondi, S., Birch-sykes, C. J., Bird, G. A., Birman, M., Bisanz, T., Biswal, J. P., Biswas, D., Bitadze, A., Bittrich, C., Bjorke, K., Blazek, T., Bloch, I., Blocker, C., Blue, A., Blumenschein, U., Bobbink, G. J., Bobrovnikov, V. S., Bogavac, D., Bogdanchikov, A. G., Bohm, C., Boisvert, V., Bokan, P., Bold, T., Bomben, M., Bona, M., Boonekamp, M., Booth, C. D., Borbely, A. G., Borecka-Bielska, H. M., Borgna, L. S., Borissov, G., Bortoletto, D., Boscherini, D., Bosman, M., Bossio Sola, J. D., Bouaouda, K., Boudreau, J., Bouhova-Thacker, E. V., Boumediene, D., Bouquet, R., Boveia, A., Boyd, J., Boye, D., Boyko, I. R., Bozson, A. J., Bracinik, J., Brahimi, N., Brandt, G., Brandt, O., Braren, F., Brau, B., Brau, J. E., Breaden Madden, W. D., Brendlinger, K., Brener, R., Brenner, L., Brenner, R., Bressler, S., Brickwedde, B., Briglin, D. L., Britton, D., Britzger, D., Brock, I., Brock, R., Brooijmans, G., Brooks, W. K., Brost, E., Bruckman de Renstrom, P. A., Bruers, B., Bruncko, D., Bruni, A., Bruni, G., Bruschi, M., Bruscino, N., Bryngemark, L., Buanes, T., Buat, Q., Buchholz, P., Buckley, A. G., Budagov, I. A., Bugge, M. K., Bulekov, O., Bullard, B. A., Burch, T. J., Burdin, S., Burgard, C. D., Burger, A. M., Burghgrave, B., Burr, J. T. P., Burton, C. D., Burzynski, J. C., Buscher, V., Buschmann, E., Bussey, P. J., Butler, J. M., Buttar, C. M., Butterworth, J. M., Buttinger, W., Buxo Vazquez, C. J., Buzykaev, A. R., Cabras, G., Cabrera Urban, S., Caforio, D., Cai, H., Cairo, V. M. M., Cakir, O., Calace, N., Calafiura, P., Calderini, G., Calfayan, P., Callea, G., Caloba, L. P., Caltabiano, A., Calvente Lopez, S., Calvet, D., Calvet, S., Calvet, T. P., 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., Canesse, A., Cano Bret, M., Cantero, J., Cao, Y., Capua, M., Cardarelli, R., Cardillo, F., Carducci, G., Carli, T., Carlino, G., Carlson, B. T., Carlson, E. M., Carminati, L., Carnesale, M., Carney, R. M. D., Caron, S., Carquin, E., Carra, S., Carratta, G., Carter, J. W. S., Carter, T. M., Casadei, D., Casado, M. P., Casha, A. F., Castiglia, E. G., Castillo, F. L., Castillo Garcia, L., Castillo Gimenez, V., Castro, N. F., Catinaccio, A., Catmore, J. R., Cattai, A., Cavaliere, V., Cavalli, N., Cavasinni, V., Celebi, E., Celli, F., Cerny, K., Cerqueira, A. S., Cerri, A., Cerrito, L., Cerutti, F., Cervelli, A., Cetin, S. A., Chadi, Z., Chakraborty, D., Chala, M., Chan, J., Chan, W. S., Chan, W. Y., Chapman, J. D., Chargeishvili, B., Charlton, D. G., Charman, T. P., Chatterjee, M., Chau, C. C., Chekanov, S., Chekulaev, S. V., Chelkov, G. A., Chen, B., Chen, C., Chen, C. H., Chen, H., Chen, J., Chen, S., Chen, S. J., Chen, X., Chen, Y., Chen, Y. -H., Cheng, C. L., Cheng, H. C., Cheng, H. J., Cheplakov, A., Cheremushkina, E., Cherkaoui El Moursli, R., Cheu, E., Cheung, K., Chevalier, L., Chiarella, V., Chiarelli, G., Chiodini, G., Chisholm, A. S., Chitan, A., Chiu, I., Chiu, Y. H., Chizhov, M. V., Choi, K., Chomont, A. R., Chou, Y., Chow, Y. S., Christopher, L. D., Chu, M. C., Chu, X., Chudoba, J., Chwastowski, J. J., Cieri, D., Ciesla, K. M., Cindro, V., Cioara, I. A., Ciocio, A., Cirotto, F., Citron, Z. H., Citterio, M., Ciubotaru, D. A., Ciungu, B. M., Clark, A., Clark, P. J., Clawson, S. E., Clement, C., Clissa, L., Coadou, Y., Cobal, M., Coccaro, A., Cochran, J., Coelho Lopes De Sa, R., Coelli, S., Cohen, H., Coimbra, A. E. C., Cole, B., Collot, J., Conde Muino, P., Connell, S. H., Connelly, I. A., Conroy, E. I., Conventi, F., Cooper-Sarkar, A. M., Cormier, F., Corpe, L. D., Corradi, M., Corrigan, E. E., Corriveau, F., Costa, M. J., Costanza, F., Costanzo, D., Cote, B. M., Cowan, G., Cowley, J. W., Crane, J., Cranmer, K., Creager, R. A., Crepe-Renaudin, S., Crescioli, F., Cristinziani, M., Cristoforetti, M., Croft, V., Crosetti, G., Cueto, A., Cuhadar Donszelmann, T., Cui, H., Cukierman, A. R., Cunningham, W. R., Czekierda, S., 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., Dallapiccola, C., Dam, M., D'Amen, G., D'Amico, V., Damp, J., Dandoy, J. R., Daneri, M. F., Danninger, M., Dao, V., Darbo, G., Dattagupta, A., D'Auria, S., David, C., Davidek, T., Davis, D. R., Davis-purcell, B. R., Dawson, I., De, K., De Asmundis, R., De Beurs, M., De Castro, S., De Groot, N., de Jong, P., De la Torre, H., De Maria, A., De Pedis, D., De Salvo, A., De Sanctis, U., De Santis, M., De Santo, A., De Vivie De Regie, J. B., Dedovich, D. V., Degens, J., Deiana, A. M., Del Peso, J., Delabat Diaz, Y., 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., Demontigny, G., Denisov, S. P., D'Eramo, L., Derendarz, D., Derkaoui, J. E., Derue, F., Dervan, P., Desch, K., Dette, K., Deutsch, C., Deviveiros, P. O., Di Bello, F. A., Di Ciaccio, A., Di Ciaccio, L., Di Donato, C., Di Girolamo, A., Di Gregorio, G., Di Luca, A., Di Micco, B., Di Nardo, R., Diaconu, C., Dias, F. A., Dias Do Vale, T., Diaz, M. A., Diaz Capriles, F. G., Dickinson, J., Didenko, M., Diehl, E. B., Dietrich, J., Diez Cornell, S., Diez Pardos, C., Dimitrievska, A., Ding, W., Dingfelder, J., Dittmeier, S. J., Dittus, F., Djama, F., Djobava, T., Djuvsland, J. I., Do Vale, M. A. B., Dobre, M., Dodsworth, D., Doglioni, C., Dolejsi, J., Dolezal, Z., Donadelli, M., Dong, B., Donini, J., D'Onofrio, A., D'Onofrio, M., Dopke, J., Doria, A., Dova, M. T., Doyle, A. T., Drechsler, E., Dreyer, E., Dreyer, T., Drobac, A. S., Du, D., du Pree, T. A., Duan, Y., Dubinin, F., Dubovsky, M., Dubreuil, A., Duchovni, E., Duckeck, G., Ducu, O. A., Duda, D., Dudarev, A., Dudder, A. C., D'Uffizi, M., Duflot, L., Duhrssen, M., Dulsen, C., Dumancic, M., Dumitriu, A. E., Dunford, M., Dungs, S., Duperrin, A., Duran Yildiz, H., Duren, M., Durglishvili, A., Dutta, B., Duvnjak, D., Dyckes, G. I., Dyndal, M., Dysch, S., Dziedzic, B. S., Eckerova, B., Eggleston, M. G., Egidio Purcino De Souza, E., Ehrke, L. F., Eifert, T., Eigen, G., Einsweiler, K., Ekelof, T., El Jarrari, H., El Moussaouy, A., Ellajosyula, V., Ellert, M., Ellinghaus, F., Elliot, A. A., Ellis, N., Elmsheuser, J., Elsing, M., Emeliyanov, D., Emerman, A., Enari, Y., Erdmann, J., Ereditato, A., Erland, P. A., Errenst, M., Escalier, M., Escobar, C., Estrada Pastor, O., Etzion, E., Evans, G., Evans, H., Evans, M. O., Ezhilov, A., Fabbri, F., Fabbri, L., Fabiani, V., Facini, G., Fakhrutdinov, R. M., Falciano, S., Falke, P. J., Falke, S., Faltova, J., Fan, Y., Fang, Y., Fanourakis, G., Fanti, M., Faraj, M., Farbin, A., Farilla, A., Farina, E. M., Farooque, T., Farrington, S. M., Farthouat, P., Fassi, F., Fassouliotis, D., Faucci Giannelli, M., Fawcett, W. J., Fayard, L., Fedin, O. L., Fehr, A., Feickert, M., Feligioni, L., Fell, A., Feng, C., Feng, M., Fenton, M. J., Fenyuk, A. B., Ferguson, S. W., Ferrando, J., Ferrari, A., Ferrari, P., Ferrari, R., Ferrere, D., Ferretti, C., Fiedler, F., Filipcic, A., Filthaut, F., Finelli, K. D., Fiolhais, M. C. N., Fiorini, L., Fischer, F., Fischer, J., Fisher, W. C., Fitschen, T., Fleck, I., Fleischmann, P., Flick, T., Flierl, B. M., Flores, L., Flores Castillo, L. R., Follega, F. M., Fomin, N., Foo, J. H., Forcolin, G. T., Forland, B. C., Formica, A., Forster, F. A., Forti, A. C., Fortin, E., Foti, M. G., Fournier, D., Fox, H., Francavilla, P., Francescato, S., Franchini, M., Franchino, S., Francis, D., Franco, L., Franconi, L., Franklin, M., Frattari, G., Freeman, P. M., Freund, B., Freund, W. S., Freundlich, E. M., Frizzell, D. C., Froidevaux, D., Frost, J. A., Fu, Y., Fujimoto, M., Fullana Torregrosa, E., Fusayasu, T., Fuster, J., Gabrielli, A., Gadow, P., Gagliardi, G., Gagnon, L. G., Gallardo, G. E., Gallas, E. J., Gallop, B. J., Gamboa Goni, R., Gan, K. K., Ganguly, S., Gao, J., Gao, Y., Gao, Y. S., Garay Walls, F. M., Garcia, C., Garcia Navarro, J. E., Garcia Pascual, J. A., Garcia-Sciveres, M., Gardner, R. W., Garg, D., Gargiulo, S., Garner, C. A., Garonne, V., Gasiorowski, S. J., Gaspar, P., Gaudio, G., Gauzzi, P., Gavrilenko, I. L., Gavrilyuk, A., Gay, C., Gaycken, G., Gazis, E. N., Geanta, A. A., Gee, C. M., Gee, C. N. P., Geisen, J., Geisen, M., Gemme, C., Genest, M. H., Geng, C., Gentile, S., George, S., Geralis, T., Gerlach, L. O., Gessinger-Befurt, P., Gessner, G., Ghasemi Bostanabad, M., Ghneimat, M., Ghosh, A., Giacobbe, B., Giagu, S., Giangiacomi, N., Giannetti, P., Giannini, A., Gibson, S. M., Gignac, M., Gil, D. T., Gilbert, B. J., Gillberg, D., Gilles, G., Gillwald, N. E. K., Gingrich, D. M., Giordani, M. P., Giraud, P. F., Giugliarelli, G., Giugni, D., Giuli, F., Gkaitatzis, S., Gkialas, I., Gkougkousis, E. L., Gkountoumis, P., Gladilin, L. K., Glasman, C., Gledhill, G. R., Glisic, M., Gnesi, I., Goblirsch-Kolb, M., Godin, D., Goldfarb, S., Golling, T., Golubkov, D., Gomes, A., Goncalves Gama, R., Goncalo, R., Gonella, G., Gonella, L., Gongadze, A., Gonnella, F., Gonski, J. L., Gonzalez de la Hoz, S., Gonzalez Fernandez, S., Gonzalez Lopez, R., Gonzalez Renteria, C., Gonzalez Suarez, R., Gonzalez-Sevilla, S., Gonzalvo Rodriguez, G. R., Gonzalez Andana, R. Y., Goossens, L., Gorasia, N. A., Gorbounov, P. A., Gordon, H. A., Gorini, B., Gorini, E., Gorisek, A., Goshaw, A. T., Gostkin, M. I., Gottardo, C. A., Gouighri, M., Goumarre, V., Goussiou, A. G., Govender, N., Goy, C., Grabowska-Bold, I., Graham, K., Gramstad, E., Grancagnolo, S., Grandi, M., Gratchev, V., Gravila, P. M., Gravili, F. G., Gray, H. M., Grefe, C., Gregor, I. M., Grenier, P., Grevtsov, K., Grieco, C., Grieser, N. A., Grillo, A. A., Grimm, K., Grinstein, S., Grivaz, J. -F., Groh, S., Gross, E., Grosse-Knetter, J., Grout, Z. J., Grud, C., Grummer, A., Grundy, J. C., Guan, L., Guan, W., Gubbels, C., Guenther, J., Guerrero Rojas, J. G. R., Guescini, F., Guest, D., Gugel, R., Guida, A., Guillemin, T., Guindon, S., Guo, J., Guo, L., Guo, Y., Gupta, R., Gurbuz, S., Gustavino, G., Guth, M., Gutierrez, P., Gutierrez Zagazeta, L. F., Gutschow, C., Guyot, C., Gwenlan, C., Gwilliam, C. B., Haaland, E. S., Haas, A., Habedank, M. H., Haber, C., Hadavand, H. K., Hadef, A., Haleem, M., Haley, J., Hall, J. J., Halladjian, G., Hallewell, G. D., Halser, L., Hamano, K., Hamdaoui, H., Hamer, M., Hamity, G. 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F., Zhang, G., Zhang, J., Zhang, K., Zhang, L., Zhang, M., Zhang, R., Zhang, S., Zhang, X., Zhang, Z., Zhao, P., Zhao, Y., Zhao, Z., Zhemchugov, A., Zheng, Z., Zhong, D., Zhou, B., Zhou, C., Zhou, H., Zhou, M., Zhou, N., Zhou, Y., Zhu, C. G., Zhu, C., Zhu, H. L., Zhu, H., Zhu, J., Zhu, Y., Zhuang, X., Zhukov, K., Zhulanov, V., Zieminska, D., Zimine, N. I., Zimmermann, S., Zinonos, Z., Ziolkowski, M., Zivkovic, L., Zoccoli, A., Zoch, K., Zorbas, T. G., Zou, R., Zou, W., and Zwalinski, L.
Subjects: p p: scattering, dilepton: mass spectrum, Higgs boson, +electron+positron+photon%22">Higgs particle --> electron positron photon, 13000 GeV-cms, QC1-999, FOS: Physical sciences, mass spectrum [dilepton], High Energy Physics - Experiment, electron: pair production, High Energy Physics - Experiment (hep-ex), mass spectrum: (electron positron), scattering [p p], [PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex], ddc:530, pair production [electron], pair production [muon], Particle Physics, Settore FIS/01, (muon+ muon-) [mass spectrum], radiative decay [Higgs particle], Physics, +muon%2B+muon-+photon%22">Higgs particle --> muon+ muon- photon, High Energy Physics::Phenomenology, ATLAS, LHC, Particle Physics, Higgs boson, (electron positron) [mass spectrum], Higgs particle: radiative decay, photon: associated production, channel cross section: branching ratio: measured, muon: pair production, mass spectrum: (muon+ muon-), production [Higgs particle], CERN LHC Coll, Higgs particle: production, associated production [photon], branching ratio: measured [channel cross section], High Energy Physics::Experiment, LHC, colliding beams [p p], p p: colliding beams, Particle Physics - Experiment, experimental results
Abstract: A search for the Higgs boson decaying into a photon and a pair of electrons or muons with an invariant mass $m_{\ell\ell} < 30$ GeV is presented. The analysis is performed using 139 fb$^{-1}$ of proton-proton collision data, produced by the LHC at a centre-of-mass energy of 13 TeV and collected by the ATLAS experiment. Evidence for the $H \rightarrow \ell \ell \gamma$ process is found with a significance of 3.2$\sigma$ over the background-only hypothesis, compared to an expected significance of 2.1$\sigma$. The best-fit value of the signal strength parameter, defined as the ratio of the observed signal yield to the one expected in the Standard Model, is $\mu = 1.5 \pm 0.5$. The Higgs boson production cross-section times the $H \rightarrow\ell\ell\gamma$ branching ratio for $m_{\ell\ell}, Comment: 39 pages in total, author list starting page 23, 5 figures, 1 table, submitted to PLB, All figures including auxiliary figures are available at https://atlas.web.cern.ch/Atlas/GROUPS/PHYSICS/PAPERS/HIGG-2018-43/
Published: 2021
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49. Smart radiator based on energy harvesting

Author: Gruber, Juan-Mario and Mathis, Simon
Subjects: Smart home, Energy harvesting, Wireless, 004: Informatik, 620: Ingenieurwesen
Abstract: This paper presents a cost effective holistic approach of a smart radiator. All components are integrated into the radiator. Traditional radiator thermostats use a temperature sensitive fluid to regulate the ambient room temperature. However, in certain circumstances non-electric thermostats lack the ability to regulate energy efficiently regarding the inhabitants needs. Battery-driven thermostats can minimize energy wasting by adjusting the room temperature automatically, but batteries must be changed after a certain amount of time. Heating thermostats with energy harvesting have limitations regarding the thermal connection and mechanics. This leads to lower system availability at higher costs. In cooperation with Zehnder Group the Institute of Embedded Systems (InES) developed a fully integrated cost optimized energy harvesting solution for a smart radiator, called “Zehnder Zmart”. It is a completely new approach. Electrical and mechanical components are consequently designed for a effective energy harvesting solution. All components are fully integrated into the radiator system. Using the temperature difference between the radiators water in- and outlet allows higher energy harvesting performance. A specially developed DC-DC converter for input voltages as low as 15 mV allows energy harvesting starting at 1.5 K temperature differences. This enables the use of low cost thermoelectric generators (TEG). The harvested energy from the TEG is stored in a low-leakage, high capacity lithium ion capacitor. In combination with the energetically optimized drive and valve, the system availability is comparable with a battery based solution. Using an 868 MHz transceiver, the radiator communicates with the base station. A predictive controlling of the ambient temperature is implemented on the radiators microcontroller. The radiator system embeds energy conversion, temperature controlling, valve driving and other necessary features and mounts on existing pipes directly. For conducting tests, a prototype of the smart radiator was installed and tested in a professional heating laboratory. The performed tests show the potential of the smart radiator. Under realistic conditions, the radiator collected enough energy for autarkic operation. It is possible to fully open or close the valve every 5 minutes. By using a thermoelectric generator, batteries or no longer have to replaced. In particular, installation and maintenance costs of complex or large-scale heating systems with radiators can be reduced.
Published: 2020

50. Smart radiator based on energy harvesting

Author: Gruber, Juan-Mario, Mathis, Simon, Gruber, Juan-Mario, and Mathis, Simon
Abstract: This paper presents a cost effective holistic approach of a smart radiator. All components are integrated into the radiator. Traditional radiator thermostats use a temperature sensitive fluid to regulate the ambient room temperature. However, in certain circumstances non-electric thermostats lack the ability to regulate energy efficiently regarding the inhabitants needs. Battery-driven thermostats can minimize energy wasting by adjusting the room temperature automatically, but batteries must be changed after a certain amount of time. Heating thermostats with energy harvesting have limitations regarding the thermal connection and mechanics. This leads to lower system availability at higher costs. In cooperation with Zehnder Group the Institute of Embedded Systems (InES) developed a fully integrated cost optimized energy harvesting solution for a smart radiator, called “Zehnder Zmart”. It is a completely new approach. Electrical and mechanical components are consequently designed for a effective energy harvesting solution. All components are fully integrated into the radiator system. Using the temperature difference between the radiators water in- and outlet allows higher energy harvesting performance. A specially developed DC-DC converter for input voltages as low as 15 mV allows energy harvesting starting at 1.5 K temperature differences. This enables the use of low cost thermoelectric generators (TEG). The harvested energy from the TEG is stored in a low-leakage, high capacity lithium ion capacitor. In combination with the energetically optimized drive and valve, the system availability is comparable with a battery based solution. Using an 868 MHz transceiver, the radiator communicates with the base station. A predictive controlling of the ambient temperature is implemented on the radiators microcontroller. The radiator system embeds energy conversion, temperature controlling, valve driving and other necessary features and mounts on existing pipes directly. For con
Published: 2021

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