cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Multiple orthogonal polynomials: Pearson equations and Christoffel formulas
Creators: name: Branquinho, Amilcar
name: Foulquié-Moreno, Ana
name: Mañas, Manuel
Publisher: name: arXiv
Year: 2021
Subjects: subject: Classical Analysis and ODEs (math.CA)
subject: Mathematical Physics (math-ph)
subject: FOS: Mathematics
subject: FOS: Physical sciences
subject: 42C05, 33C45, 33C47

description: Multiple orthogonal polynomials with respect to two weights on the step-line are considered. A connection between different dual spectral matrices, one banded (recursion matrix) and one Hessenberg, respectively, and the Gauss-Borel factorization of the moment matrix is given. It is shown a hidden freedom exhibited by the spectral system related to the multiple orthogonal polynomials. Pearson equations are discussed, a Laguerre-Freud matrix is considered, and differential equations for type I and II multiple orthogonal polynomials, as well as for the corresponding linear forms are given. The Jacobi-Piñeiro multiple orthogonal polynomials of type I and type II are used as an illustrating case and the corresponding differential relations are presented. A permuting Christoffel transformation is discussed, finding the connection between the different families of multiple orthogonal polynomials. The Jacobi-Piñeiro case provides a convenient illustration of these symmetries, giving linear relations between different polynomials with shifted and permuted parameters. We also present the general theory for the perturbation of each weight by a different polynomial or rational function aka called Christoffel and Geronimus transformations. The connections formulas between the type II multiple orthogonal polynomials, the type I linear forms, as well as the vector Stieltjes-Markov vector functions is also presented. We illustrate these findings by analyzing the special case of modification by an even polynomial.
description: Revised version, completely new section on general Christoffel and Geronimus for multiple orthogonal polynomials on the stepline
title: Von der Natur- zur Kulturlandschaft. Ein Forschungsprojekt zur jungsteinzeitlichen und bronzezeitlichen Landnutzung am Bodensee
Creators: name: Wick, Lucia
name: Rösch, Manfred
Publisher: name: University Library Heidelberg
Year: 2014

description: Denkmalpflege in Baden-Württemberg – Nachrichtenblatt der Landesdenkmalpflege, Bd. 35, Nr. 4 (2006), Beginn und Erscheinungsfrequenz: Ausgaben pro Band: 4
title: Grüne Kulturdenkmale – Andeutungen über Gartendenkmalpflege
Creators: name: Eidloth, Volkmar
Publisher: name: University Library Heidelberg
Year: 2014

description: Denkmalpflege in Baden-Württemberg – Nachrichtenblatt der Landesdenkmalpflege, Bd. 36, Nr. 1 (2007), Beginn und Erscheinungsfrequenz: Ausgaben pro Band: 4
The sign rule and beyond: Boundary effects, flexibility, and noise correlations in neural population codes
Creators: name: Hu, Yu
name: Zylberberg, Joel
name: Shea-Brown, Eric
Publisher: name: arXiv
Year: 2013
Subjects: subject: Neurons and Cognition (q-bio.NC)
subject: FOS: Biological sciences

description: Over repeat presentations of the same stimulus, sensory neurons show variable responses. This "noise" is typically correlated between pairs of cells, and a question with rich history in neuroscience is how these noise correlations impact the population's ability to encode the stimulus. Here, we consider a very general setting for population coding, investigating how information varies as a function of noise correlations, with all other aspects of the problem - neural tuning curves, etc. - held fixed. This work yields unifying insights into the role of noise correlations. These are summarized in the form of theorems, and illustrated with numerical examples involving neurons with diverse tuning curves. Our main contributions are as follows. (1) We generalize previous results to prove a sign rule (SR) - if noise correlations between pairs of neurons have opposite signs vs. their signal correlations, then coding performance will improve compared to the independent case. This holds for three different metrics of coding performance, and for arbitrary tuning curves and levels of heterogeneity. This generality is true for our other results as well. (2) As also pointed out in the literature, the SR does not provide a necessary condition for good coding. We show that a diverse set of correlation structures can improve coding. Many of these violate the SR, as do experimentally observed correlations. There is structure to this diversity: we prove that the optimal correlation structures must lie on boundaries of the possible set of noise correlations. (3) We provide a novel set of necessary and sufficient conditions, under which the coding performance (in the presence of noise) will be as good as it would be if there were no noise present at all.
description: 41 pages, 5 figures
An improved Material Mask Overlay Strategy for the desired discreteness of pressure-loaded optimized topologies
Creators: name: Kumar, Prabhat
name: Saxena, Anupam
Publisher: name: arXiv
Year: 2021
Subjects: subject: Computational Engineering, Finance, and Science (cs.CE)
subject: FOS: Computer and information sciences

description: This paper presents a Material Mask Overlay topology optimization approach with the improved material assignment at the element level for achieving the desired discreteness of the optimized designs for pressure-loaded problems. Hexagonal elements are employed to parametrize the design domain. Such elements provide nonsingular local connectivity; thus, checkerboard patterns and point connections inherently get subdued. Elliptical negative masks are used to find the optimized material layout. Each mask is represented via seven parameters that describe the location, shape, orientation, material dilation, and erosion variables of the mask. The latter two variables are systematically varied in conjunction with a grayscale measure constraint to achieve the solutions' sought 0-1 nature. Darcy's law with a drainage term is used to model the pressure load. The obtained pressure field is converted into the consistent nodal forces using Wachspress shape functions. Sensitivities of the objective and pressure load are evaluated using the adjoint-variable method. The efficacy and robustness of the approach are demonstrated by solving various pressure-loaded structures and pressure-driven compliant mechanisms. Compliance is minimized for loadbearing structures, whereas a multicriteria objective is minimized for mechanism designs. The boundary smoothing scheme is implemented within each optimization iteration to subdue the designs' undulated boundaries.
description: 25 pages, 19 figures
Staggered mesh method for correlation energy calculations of solids: Second order Møller-Plesset perturbation theory
Creators: name: Xing, Xin
name: Li, Xiaoxu
name: Lin, Lin
Publisher: name: arXiv
Year: 2021
Subjects: subject: Computational Physics (physics.comp-ph)
subject: Numerical Analysis (math.NA)
subject: FOS: Physical sciences
subject: FOS: Mathematics

description: The calculation of the MP2 correlation energy for extended systems can be viewed as a multi-dimensional integral in the thermodynamic limit, and the standard method for evaluating the MP2 energy can be viewed as a trapezoidal quadrature scheme. We demonstrate that existing analysis neglects certain contributions due to the non-smoothness of the integrand, and may significantly underestimate finite-size errors. We propose a new staggered mesh method, which uses two staggered Monkhorst-Pack meshes for occupied and virtual orbitals, respectively, to compute the MP2 energy. The staggered mesh method circumvents a significant error source in the standard method, in which certain quadrature nodes are always placed on points where the integrand is discontinuous. One significant advantage of the proposed method is that there are no tunable parameters, and the additional numerical effort needed can be negligible compared to the standard MP2 calculation. Numerical results indicate that the staggered mesh method can be particularly advantageous for quasi-1D systems, as well as quasi-2D and 3D systems with certain symmetries.
A thick subcategory theorem for modules over certain ring spectra
Creators: name: Mathew, Akhil
Publisher: name: arXiv
Year: 2013
Subjects: subject: Algebraic Topology (math.AT)
subject: Category Theory (math.CT)
subject: FOS: Mathematics

description: We classify thick subcategories of the $\infty$-categories of perfect modules over ring spectra which arise as functions on even periodic derived stacks satisfying affineness and regularity conditions. For example, we show that the thick subcategories of perfect modules over $\mathrm{TMF}$ are in natural bijection with the subsets of the underlying space of the moduli stack of elliptic curves which are closed under specialization.
description: 25 pages. Substantially revised and reorganized. Final version, to appear in Geometry and Topology
Deep Hierarchical Super Resolution for Scientific Data
Creators: name: Wurster, Skylar W.
name: Guo, Hanqi
name: Shen, Han-Wei
name: Peterka, Thomas
name: Xu, Jiayi
Publisher: name: arXiv
Year: 2021
Subjects: subject: Image and Video Processing (eess.IV)
subject: Computer Vision and Pattern Recognition (cs.CV)
subject: Machine Learning (cs.LG)
subject: FOS: Electrical engineering, electronic engineering, information engineering
subject: FOS: Computer and information sciences

description: We present a novel technique for hierarchical super resolution (SR) with neural networks (NNs), which upscales volumetric data represented with an octree data structure to a high-resolution uniform grid with minimal seam artifacts on octree node boundaries. Our method uses existing state-of-the-art SR models and adds flexibility to upscale input data with varying levels of detail across the domain, instead of only uniform grid data that are supported in previous approaches. The key is to use a hierarchy of SR NNs, each trained to perform 2x SR between two levels of detail, with a hierarchical SR algorithm that minimizes seam artifacts by starting from the coarsest level of detail and working up. We show that our hierarchical approach outperforms baseline interpolation and hierarchical upscaling methods, and demonstrate the usefulness of our proposed approach across three use cases including data reduction using hierarchical downsampling+SR instead of uniform downsampling+SR, computation savings for hierarchical finite-time Lyapunov exponent field calculation, and super-resolving low-resolution simulation results for a high-resolution approximation visualization.
description: Accepted by IEEE Transactions on Visualization and Computer Graphics (TVCG) 2022
Neuronal spike generation via a homoclinic orbit bifurcation increases irregularity and chaos in balanced networks
Creators: name: Drangmeister, Moritz
name: Engelken, Rainer
name: Schleimer, Jan-Hendrik
name: Schreiber, Susanne
Publisher: name: G-Node
Year: 2024
Subjects: Computational Neuroscience
Networks and dynamical systems

description: Bernstein Conference 2024 abstract. https://bernstein-conference.de
Interface spaces based on physics for multiscale mixed methods applied to flows in fractured-like porous media
Creators: name: Rocha, Franciane F.
name: Sousa, Fabricio S.
name: Ausas, Roberto F.
name: Pereira, Felipe
name: Buscaglia, Gustavo C.
Publisher: name: arXiv
Year: 2021
Subjects: subject: Numerical Analysis (math.NA)
subject: Computational Engineering, Finance, and Science (cs.CE)
subject: FOS: Mathematics
subject: FOS: Computer and information sciences

description: It is well known that domain-decomposition-based multiscale mixed methods rely on interface spaces, defined on the skeleton of the decomposition, to connect the solution among the non-overlapping subdomains. Usual spaces, such as polynomial-based ones, cannot properly represent high-contrast channelized features such as fractures (high permeability) and barriers (low permeability) for flows in heterogeneous porous media. We propose here new interface spaces, which are based on physics, to deal with permeability fields in the simultaneous presence of fractures and barriers, accommodated respectively, by the pressure and flux spaces. Existing multiscale methods based on mixed formulations can take advantage of the proposed interface spaces, however, in order to present and test our results, we use the newly developed Multiscale Robin Coupled Method (MRCM) [Guiraldello, et al., J. Comput. Phys., 355 (2018) pp. 1-21], which generalizes most well-known multiscale mixed methods, and allows for the independent choice of the pressure and flux interface spaces. An adaptive version of the MRCM [Rocha, et al., J. Comput. Phys., 409 (2020), 109316] is considered that automatically selects the physics-based pressure space for fractured structures and the physics-based flux space for regions with barriers, resulting in a procedure with unprecedented accuracy. The features of the proposed approach are investigated through several numerical simulations of single-phase and two-phase flows, in different heterogeneous porous media. The adaptive MRCM combined with the interface spaces based on physics provides promising results for challenging problems with the simultaneous presence of fractures and barriers.
description: 42 pages, 26 figures. Submitted to Elsevier
Gravitational Caustics in an Atom Laser
Creators: name: Mossman, Maren E.
name: Bersano, Thomas M.
name: Forbes, Michael McNeil
name: Engels, Peter
Publisher: name: arXiv
Year: 2021
Subjects: subject: Quantum Gases (cond-mat.quant-gas)
subject: FOS: Physical sciences

description: Typically discussed in the context of optics, caustics are envelopes of classical trajectories (rays) where the density of states diverges, resulting in pronounced observable features such as bright points, curves, and extended networks of patterns. Here, we generate caustics in the matter waves of an atom laser, providing a striking experimental example of catastrophe theory applied to atom optics in an accelerated (gravitational) reference frame. We showcase caustics formed by individual attractive and repulsive potentials, and present an example of a network generated by multiple potentials. Exploiting internal atomic states, we demonstrate fluid-flow tracing as another tool of this flexible experimental platform. The effective gravity experienced by the atoms can be tuned with magnetic gradients, forming caustics analogous to those produced by gravitational lensing. From a more applied point of view, atom optics affords perspectives for metrology, atom interferometry, and nanofabrication. Caustics in this context may lead to quantum innovations as they are an inherently robust way of manipulating matter waves.
description: 10 pages, 6 figures. Updated to reflect published version
Qualitative uncertainty principles for the windowed Opdam--Cherednik transform on weighted modulation spaces
Creators: name: Mondal, Shyam Swarup
name: Poria, Anirudha
Publisher: name: arXiv
Year: 2021
Subjects: subject: Functional Analysis (math.FA)
subject: FOS: Mathematics
subject: Primary 44A15, Secondary 42B35, 43A32, 33C45

description: The aim of this paper is to establish a few qualitative uncertainty principles for the windowed Opdam-Cherednik transform on weighted modulation spaces associated with this transform. In particular, we obtain the Cowling-Price's, Hardy's and Morgan's uncertainty principles for this transform on weighted modulation spaces. The proofs of the results are based on versions of the Phragm{é}n-Lindl{ö}f type result for several complex variables on weighted modulation spaces and the properties of the Gaussian kernel associated with the Jacobi-Cherednik operator.
description: arXiv admin note: text overlap with arXiv:2005.14274, arXiv:2104.15112
Alive publication
Creators: name: Gorbunov-Posadov, Mikhail Mikhailovich
Publisher: name: arXiv
Year: 2021
Subjects: subject: Digital Libraries (cs.DL)
subject: FOS: Computer and information sciences
subject: H.5.4; J.7

description: An alive publication is a new genre for presenting the results of scientific research, which means that scientific work is published online and then constantly developing and improving by its author. Serious errors and typos are no longer fatal, nor do they haunt the author for the rest of his or her life. The reader of an alive publication knows that the author is constantly monitoring changes occurring in this branch of science. Alive publication faces the inertia of scientific publishing traditions and, in particular, traditional bibliometrics. Unfortunately, at present, the author who supports an alive publication is dramatically losing out on many generally accepted bibliometric indicators. The alive publication encourages the development of the bibliography apparatus. Each bibliographic reference will soon have to contain such important for the reader updating on-the-fly attributes as attendance, number of external links, date of the last revision, etc. It is to be expected that as the alive publication spreads over to the scientific world, the author's concern for the publication's evolution will become like a parent's care for the development of a child. The Internet will be filled with scientific publications that do not lose their relevance over time.
description: 24 pages, 4 figures
Notes on nonlocal projective measurements in relativistic systems
Creators: name: Lin, Shih-Yuin
Publisher: name: arXiv
Year: 2013
Subjects: subject: Quantum Physics (quant-ph)
subject: General Relativity and Quantum Cosmology (gr-qc)
subject: High Energy Physics - Theory (hep-th)
subject: FOS: Physical sciences

description: In quantum mechanical bipartite systems, naive extensions of von Neumann's projective measurement to nonlocal variables can produce superluminal signals and thus violate causality. We analyze the projective quantum nondemolition state-verification in a two-spin system and see how the projection introduces nonlocality without entanglement. For the ideal measurements of "R-nonlocal" variables, we argue that causality violation can be resolved by introducing further restrictions on the post-measurement states, which makes the measurement "Q-nonlocal". After we generalize these ideas to quantum mechanical harmonic oscillators, we look into the projective measurements of the particle number of a single mode or a wave-packet of a relativistic quantum field in Minkowski space. It turns out that the causality-violating terms in the expectation values of the local operators, generated either by the ideal measurement of the "R-nonlocal" variable or the quantum nondemolition verification of a Fock state, are all suppressed by the IR and UV cutoffs of the theory. Thus relativistic quantum field theories with such projective measurements are effectively causal.
description: 19 pages, 1 figure; minor changes
title: Überlingens letzte Renaissancefenster als Motive der Malerei des späten 19. Jahrhunderts. Gemälde von Max Thedy dokumentieren seltene Fenster
Creators: name: Caesar, Volker
Publisher: name: University Library Heidelberg
Year: 2014

description: Denkmalpflege in Baden-Württemberg – Nachrichtenblatt der Landesdenkmalpflege, Bd. 36, Nr. 1 (2007), Beginn und Erscheinungsfrequenz: Ausgaben pro Band: 4
Is the Voter Model a model for voters?
Creators: name: Fernández-Gracia, Juan
name: Suchecki, Krzysztof
name: Ramasco, José J.
name: Miguel, Maxi San
name: Eguíluz, Víctor M.
Publisher: name: arXiv
Year: 2013
Subjects: subject: Physics and Society (physics.soc-ph)
subject: Social and Information Networks (cs.SI)
subject: FOS: Physical sciences
subject: FOS: Computer and information sciences

description: The voter model has been studied extensively as a paradigmatic opinion dynamics' model. However, its ability for modeling real opinion dynamics has not been addressed. We introduce a noisy voter model (accounting for social influence) with agents' recurrent mobility (as a proxy for social context), where the spatial and population diversity are taken as inputs to the model. We show that the dynamics can be described as a noisy diffusive process that contains the proper anysotropic coupling topology given by population and mobility heterogeneity. The model captures statistical features of the US presidential elections as the stationary vote-share fluctuations across counties, and the long-range spatial correlations that decay logarithmically with the distance. Furthermore, it recovers the behavior of these properties when a real-space renormalization is performed by coarse-graining the geographical scale from county level through congressional districts and up to states. Finally, we analyze the role of the mobility range and the randomness in decision making which are consistent with the empirical observations.
description: 13 pages, 13 figures
Jet Veto Clustering Logarithms Beyond Leading Order
Creators: name: Alioli, Simone
name: Walsh, Jonathan R.
Publisher: name: arXiv
Year: 2013
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: High Energy Physics - Experiment (hep-ex)
subject: FOS: Physical sciences

description: Many experimental analyses separate events into exclusive jet bins, using a jet algorithm to cluster the final state and then veto on jets. Jet clustering induces logarithmic dependence on the jet radius R in the cross section for exclusive jet bins, a dependence that is poorly controlled due to the non-global nature of the clustering. At jet radii of experimental interest, the leading order (LO) clustering effects are numerically significant, but the higher order effects are currently unknown. We rectify this situation by calculating the most important part of the next-to-leading order (NLO) clustering logarithms of R for any 0-jet process, which enter as $O(α_s^3)$ corrections to the cross section. The calculation blends subtraction methods for NLO calculations with factorization properties of QCD and soft-collinear effective theory (SCET). We compare the size of the known LO and new NLO clustering logarithms and find that the impact of the NLO terms on the 0-jet cross section in Higgs production is small. This brings clustering effects under better control and may be used to improve uncertainty estimates on cross sections with a jet veto.
description: 39 pages, 5 figures. v2: journal version. v3: added missing term in calculation, conclusions unchanged
Emergence of Synfire Chains in Functional Multi-Layer Spiking Neural Networks
Creators: name: Oberste-Frielinghaus, Jonas
name: Kurth, Anno
name: Göltz, Julian
name: Kriener, Laura
name: Ito, Junji
name: Petrovici, Mihai
name: Grün, Sonja
Publisher: name: G-Node
Year: 2024
Subjects: Computational Neuroscience
Networks and dynamical systems

description: Bernstein Conference 2024 abstract. https://bernstein-conference.de
The Multiscale Perturbation Method for Two-Phase Reservoir Flow Problems
Creators: name: Rocha, Franciane F.
name: Mankad, Het
name: Sousa, Fabricio S.
name: Pereira, Felipe
Publisher: name: arXiv
Year: 2021
Subjects: subject: Numerical Analysis (math.NA)
subject: Computational Physics (physics.comp-ph)
subject: FOS: Mathematics
subject: FOS: Physical sciences

description: In this work we formulate and test a new procedure, the Multiscale Perturbation Method for Two-Phase Flows (MPM-2P), for the fast, accurate and naturally parallelizable numerical solution of two-phase, incompressible, immiscible displacement in porous media approximated by an operator splitting method. The proposed procedure is based on domain decomposition and combines the Multiscale Perturbation Method (MPM) with the Multiscale Robin Coupled Method (MRCM). When an update of the velocity field is called by the operator splitting algorithm, the MPM-2P may provide, depending on the magnitude of a dimensionless algorithmic parameter, an accurate and computationally inexpensive approximation for the velocity field by reusing previously computed multiscale basis functions. Thus, a full update of all multiscale basis functions required by the MRCM for the construction of a new velocity field is avoided. There are two main steps in the formulation of the MPM-2P. Initially, for each subdomain one local boundary value problem with trivial Robin boundary conditions is solved (instead of a full set of multiscale basis functions, that would be required by the MRCM). Then, the solution of an inexpensive interface problem provides the velocity field on the skeleton of the decomposition of the domain. The resulting approximation for the velocity field is obtained by downscaling. We consider challenging two-phase flow problems, with high-contrast permeability fields and water-oil finger growth in homogeneous media. Our numerical experiments show that the use of the MPM-2P gives exceptional speed-up - almost 90% of reduction in computational cost - of two-phase flow simulations. Hundreds of MRCM solutions can be replaced by inexpensive MPM-2P solutions, and water breakthrough can be simulated with very few updates of the MRCM set of multiscale basis functions.
description: 40 pages, 17 figures, submitted to Elsevier
Response Dynamics of Alkali Metal-Noble Gas Hybrid Trispin System
Creators: name: Liu, Guobin
name: Zhang, Shougang
name: Gu, Sihong
Publisher: name: arXiv
Year: 2021
Subjects: subject: Atomic Physics (physics.atom-ph)
subject: FOS: Physical sciences

description: With numerical calculation of coupled Bloch equations, we have simulated the spin dynamics of nuclear magnetic resonance gyroscope based on alkali metal-noble gas hybrid trispin system. From the perspective of damping harmonic oscillator, a thorough analysis of the response dynamics is demonstrated. The simulation results shows a linear increasing response of gyroscope signal while the noblge gas nuclear spin magnetization and alkali atomic spin lifetime parameters are at the over damping condition. An upper limit of response is imposed on the NMR gyroscope signal due to the inherent dynamics of the hybrid trispin system. The results agrees with present available experimental results and provide useful guidings for future experiments.
description: 5 pages, 3 figures
A multiscale Robin-coupled implicit method for two-phase flows in high-contrast formations
Creators: name: Rocha, Franciane F.
name: Sousa, Fabricio S.
name: Ausas, Roberto F.
name: Buscaglia, Gustavo C.
name: Pereira, Felipe
Publisher: name: arXiv
Year: 2021
Subjects: subject: Numerical Analysis (math.NA)
subject: FOS: Mathematics

description: In the presence of strong heterogeneities, it is well known that the use of explicit schemes for the transport of species in a porous medium suffers from severe restrictions on the time step. This has led to the development of implicit schemes that are increasingly favoured by practitioners for their computational efficiency. The transport equation requires knowledge of the velocity field, which results from an elliptic problem (Darcy problem) that is the most expensive part of the computation. When considering large reservoirs, a cost-effective way of approximating the Darcy problems is using multiscale domain decomposition (MDD) methods. They allow for the pressure and velocity fields to be computed on coarse meshes (large scale), while detailed basis functions are defined locally, usually in parallel, in a much finer grid (small scale). In this work we adopt the Multiscale Robin Coupled Method (MRCM, [Guiraldello, et al., J. Comput. Phys., 355 (2018) pp. 1-21], [Rocha, et al., J. Comput. Phys., (2020) 109316]), which is a generalization of previous MDD methods that allows for great flexibility in the choice of interface spaces. In this article we investigate the combination of the MRCM with implicit transport schemes. A sequentially implicit strategy is proposed, with different trust-region algorithms ensuring the convergence of the transport solver. The method is assessed on several very stringent 2D two-phase problems, demonstrating its stability even for large time steps. It is also shown that the best accuracy is achieved by considering recently introduced non-polynomial interface spaces, since polynomial spaces are not optimal for high-contrast channelized permeability fields.
description: 41 pages, 23 figures. Submitted to Elsevier
DelGrad: Exact gradients in spiking networks for learning transmission delays and weights
Creators: name: Göltz, Julian
name: Weber, Jimmy
name: Kriener, Laura
name: Lake, Peter
name: Payvand, Melika
name: Petrovici, Mihai A.
Publisher: name: G-Node
Year: 2024
Subjects: Computational Neuroscience
Networks and dynamical systems

description: Bernstein Conference 2024 abstract. https://bernstein-conference.de
title: Empfangsgebäude des Bahnhofs Konstanz. Endpunkt der Badischen Hauptbahn
Creators: name: Roth, Erik
Publisher: name: University Library Heidelberg
Year: 2014

description: Denkmalpflege in Baden-Württemberg – Nachrichtenblatt der Landesdenkmalpflege, Bd. 36, Nr. 1 (2007), Beginn und Erscheinungsfrequenz: Ausgaben pro Band: 4
A robust machine learning pipeline for the analysis of complex nightingale songs
Creators: name: Ramadas, Mahalakshmi
name: Clemens, Jan
name: Vallentin, Daniela
Publisher: name: G-Node
Year: 2024
Subjects: Computational Neuroscience
Data analysis, machine learning and neuroinformatics

description: Bernstein Conference 2024 abstract. https://bernstein-conference.de
Efficient learning of deep non-negative matrix factorisation networks
Creators: name: Nouri, Mahbod
name: Rotermund, David
name: García Ortiz, Alberto
name: Pawelzik, Klaus R.
Publisher: name: G-Node
Year: 2024
Subjects: Computational Neuroscience
Data analysis, machine learning and neuroinformatics

description: Bernstein Conference 2024 abstract. https://bernstein-conference.de
Weighted Norm Inequalities for the Opdam--Cherednik Transform
Creators: name: Mondal, Shyam Swarup
name: Poria, Anirudha
Publisher: name: arXiv
Year: 2021
Subjects: subject: Functional Analysis (math.FA)
subject: FOS: Mathematics
subject: Primary 44A15, Secondary 43A32, 33C45, 26D10

description: In this paper, we study several weighted norm inequalities for the Opdam--Cherednik transform. We establish different versions of the Heisenberg--Pauli--Weyl inequality for this transform. In particular, we give an extension of this inequality using weights with different exponents and present a variation of the inequality that incorporates $L^p$-norms for the Opdam--Cherednik transform. Also, we prove a version of the Hardy--Littlewood inequality for this transform. Finally, we give other variations of the Heisenberg--Pauli--Weyl inequality such as the Nash-type and Clarkson-type inequalities for the Opdam--Cherednik transform.
Precision measurement of the $^{43}$Ca$^{+}$ nuclear magnetic moment
Creators: name: Hanley, R. K.
name: Allcock, D. T. C.
name: Harty, T. P.
name: Sepiol, M. A.
name: Lucas, D. M.
Publisher: name: arXiv
Year: 2021
Subjects: subject: Atomic Physics (physics.atom-ph)
subject: Nuclear Experiment (nucl-ex)
subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: We report precision measurements of the nuclear magnetic moment of \textsuperscript{43}Ca\textsuperscript{+}, made by microwave spectroscopy of the 4s $^2$S$_{1/2}$ $\left|F=4, M=0\right\rangle \rightarrow \left|F=3, M=1\right\rangle$ ground level hyperfine clock transition at a magnetic field of $\approx$ 146 G, using a single laser-cooled ion in a Paul trap. We measure a clock transition frequency of $f = 3199941076.920 \pm 0.046$ Hz, from which we determine $μ_I / μ_{\rm{N}} = -1.315350(9)(1)$, where the uncertainty (9) arises from uncertainty in the hyperfine $A$ constant, and the (1) arises from the uncertainty in our measurement. This measurement is not corrected for diamagnetic shielding due to the bound electrons. We make a second measurement which is less precise but agrees with the first. We use our $μ_I$ value, in combination with previous NMR results, to extract the change in shielding constant of calcium ions due to solvation in D$_2$O: $Δσ= -0.00022(1)$.
title: Dienststellen der Landesdenkmalpflege ; Abbildungsnachweis
Creators: name: Redaktion, Die
Publisher: name: University Library Heidelberg
Year: 2014

description: Denkmalpflege in Baden-Württemberg – Nachrichtenblatt der Landesdenkmalpflege, Bd. 36, Nr. 1 (2007), Beginn und Erscheinungsfrequenz: Ausgaben pro Band: 4
Efficient nonlinear receptive field estimation across processing stages of sensory systems
Creators: name: Büttner, Marc
name: Znidaric, Matej
name: Diggelmann, Roland
name: Rosselli, Federica B.
name: Bucci, Annalisa
name: Hierlemann, Andreas
name: Franke, Felix
Publisher: name: G-Node
Year: 2024
Subjects: Computational Neuroscience
Data analysis, machine learning and neuroinformatics

description: Bernstein Conference 2024 abstract. https://bernstein-conference.de
Global sensitivity analysis using derivative-based sparse Poincaré chaos expansions
Creators: name: Lüthen, Nora
name: Roustant, Olivier
name: Gamboa, Fabrice
name: Iooss, Bertrand
name: Marelli, Stefano
name: Sudret, Bruno
Publisher: name: arXiv
Year: 2021
Subjects: subject: Computation (stat.CO)
subject: Numerical Analysis (math.NA)
subject: Classical Analysis and ODEs (math.CA)
subject: Statistics Theory (math.ST)
subject: FOS: Computer and information sciences
subject: FOS: Mathematics

description: Variance-based global sensitivity analysis, in particular Sobol' analysis, is widely used for determining the importance of input variables to a computational model. Sobol' indices can be computed cheaply based on spectral methods like polynomial chaos expansions (PCE). Another choice are the recently developed Poincaré chaos expansions (PoinCE), whose orthonormal tensor-product basis is generated from the eigenfunctions of one-dimensional Poincaré differential operators. In this paper, we show that the Poincaré basis is the unique orthonormal basis with the property that partial derivatives of the basis form again an orthogonal basis with respect to the same measure as the original basis. This special property makes PoinCE ideally suited for incorporating derivative information into the surrogate modelling process. Assuming that partial derivative evaluations of the computational model are available, we compute spectral expansions in terms of Poincaré basis functions or basis partial derivatives, respectively, by sparse regression. We show on two numerical examples that the derivative-based expansions provide accurate estimates for Sobol' indices, even outperforming PCE in terms of bias and variance. In addition, we derive an analytical expression based on the PoinCE coefficients for a second popular sensitivity index, the derivative-based sensitivity measure (DGSM), and explore its performance as upper bound to the corresponding total Sobol' indices.
Scaling of spin Hall angle in 3d, 4d and 5d metals from Y3Fe5O12/metal spin pumping
Creators: name: Wang, H. L.
name: Du, C. H.
name: Pu, Y.
name: Adur, R.
name: Hammel, P. C.
name: Yang, F. Y.
Publisher: name: arXiv
Year: 2013
Subjects: subject: Materials Science (cond-mat.mtrl-sci)
subject: FOS: Physical sciences

description: Pure spin currents generated by spin pumping in ferromagnet/nonmagnet (FM/NM) bilayers produce inverse spin Hall effect (ISHE) voltages in the NM, from which spin pumping and transport characteristics of the NM can be extracted. Due to its exceptionally low damping, Y3Fe5O12 (YIG) is an important and widely used FM for microwave devices and ferromagnetic resonance (FMR) spin pumping. Here we report systematic investigation of spin pumping from 20-nm thick YIG thin films to a series of 3d, 4d and 5d normal metals (Cu, Ag, Ta, W, Pt and Au) with various spin-orbit coupling strengths. From enhanced Gilbert damping obtained from the frequency dependence of FMR linewidths and ISHE signals, the spin Hall angles and YIG/NM interfacial spin mixing conductances are quantitatively determined for these metals. The spin Hall angles largely vary as the fourth power of the atomic number, corroborating the dominant role of spin-orbit coupling across a broad range in the inverse spin Hall effect.
description: 16 pages 4 figures
From data to noise to data: mixing physics across temperatures with generative artificial intelligence
Creators: name: Wang, Yihang
name: Herron, Lukas
name: Tiwary, Pratyush
Publisher: name: arXiv
Year: 2021
Subjects: subject: Statistical Mechanics (cond-mat.stat-mech)
subject: Biological Physics (physics.bio-ph)
subject: Computational Physics (physics.comp-ph)
subject: Data Analysis, Statistics and Probability (physics.data-an)
subject: FOS: Physical sciences

description: Using simulations or experiments performed at some set of temperatures to learn about the physics or chemistry at some other arbitrary temperature is a problem of immense practical and theoretical relevance. Here we develop a framework based on statistical mechanics and generative Artificial Intelligence that allows solving this problem. Specifically, we work with denoising diffusion probabilistic models, and show how these models in combination with replica exchange molecular dynamics achieve superior sampling of the biomolecular energy landscape at temperatures that were never even simulated without assuming any particular slow degrees of freedom. The key idea is to treat the temperature as a fluctuating random variable and not a control parameter as is usually done. This allows us to directly sample from the joint probability distribution in configuration and temperature space. The results here are demonstrated for a chirally symmetric peptide and single-strand ribonucleic acid undergoing conformational transitions in all-atom water. We demonstrate how we can discover transition states and metastable states that were previously unseen at the temperature of interest, and even bypass the need to perform further simulations for wide range of temperatures. At the same time, any unphysical states are easily identifiable through very low Boltzmann weights. The procedure while shown here for a class of molecular simulations should be more generally applicable to mixing information across simulations and experiments with varying control parameters.
description: Added new system (RNA nucleotide) and more detailed analysis including comparison with direct reweighting
D4-branes wrapped on a topological disk
Creators: name: Suh, Minwoo
Publisher: name: arXiv
Year: 2021
Subjects: subject: High Energy Physics - Theory (hep-th)
subject: FOS: Physical sciences

description: Employing the method applied to M5-branes recently by Bah, Bonetti, Minasian and Nardoni, we study D4-branes wrapped on a disk with a non-trivial holonomy at the boundary. In $F(4)$ gauged supergravity in six dimensions, we find supersymmetric $AdS_4$ solutions and uplift the solutions to massive type IIA supergravity. We calculate the holographic free energy of dual three-dimensional superconformal field theories.
description: v2: 23 pages, 2 figures, analytic expression of holographic free energy included, published version. arXiv admin note: text overlap with arXiv:2108.01105
TSG-DDT: Time-Series Generative Denoising Diffusion Transformers
Creators: name: Zurdo-Tabernero, Marco
name: Enrique-Guillem, Pablo
name: Canal-Alonso, Ángel
name: Hernández, Guillermo
name: González-Arrieta, Angélica
name: Corchado, Juan Manuel
Publisher: name: G-Node
Year: 2024
Subjects: Computational Neuroscience
Data analysis, machine learning and neuroinformatics

description: Bernstein Conference 2024 abstract. https://bernstein-conference.de
Unfolding the multiscale structure of networks with dynamical Ollivier-Ricci curvature
Creators: name: Gosztolai, Adam
name: Arnaudon, Alexis
Publisher: name: arXiv
Year: 2021
Subjects: subject: Physics and Society (physics.soc-ph)
subject: Discrete Mathematics (cs.DM)
subject: Data Analysis, Statistics and Probability (physics.data-an)
subject: FOS: Physical sciences
subject: FOS: Computer and information sciences

description: Describing networks geometrically through low-dimensional latent metric spaces has helped design efficient learning algorithms, unveil network symmetries and study dynamical network processes. However, latent space embeddings are limited to specific classes of networks because incompatible metric spaces generally result in information loss. Here, we study arbitrary networks geometrically by defining a dynamic edge curvature measuring the similarity between pairs of dynamical network processes seeded at nearby nodes. We show that the evolution of the curvature distribution exhibits gaps at characteristic timescales indicating bottleneck-edges that limit information spreading. Importantly, curvature gaps are robust to large fluctuations in node degrees, encoding communities until the phase transition of detectability, where spectral and node-clustering methods fail. Using this insight, we derive geometric modularity to find multiscale communities based on deviations from constant network curvature in generative and real-world networks, significantly outperforming most previous methods. Our work suggests using network geometry for studying and controlling the structure of and information spreading on networks.
title: Editorial
Creators: name: Planck, Dieter
Publisher: name: University Library Heidelberg
Year: 2014

description: Denkmalpflege in Baden-Württemberg – Nachrichtenblatt der Landesdenkmalpflege, Bd. 36, Nr. 2 (2007), Beginn und Erscheinungsfrequenz: Ausgaben pro Band: 4
Enigmatic 4/11 State: A Prototype for Unconventional Fractional Quantum Hall Effect
Creators: name: Mukherjee, Sutirtha
name: Mandal, Sudhansu S.
name: Wu, Ying-Hai
name: Wójs, Arkadiusz
name: Jain, Jainendra K.
Publisher: name: arXiv
Year: 2013
Subjects: subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: FOS: Physical sciences

description: The origin of fractional quantum Hall effect (FQHE) at 4/11 and 5/13 has remained controversial. We make a compelling case that FQHE is possible here for fully spin polarized composite fermions, but with an unconventional underlying physics. Thanks to a rather unusual interaction between composite fermions, FQHE here results from the suppression of pairs with relative angular momentum {\em three} rather than one, confirming the exotic mechanism proposed by Wójs, Yi and Quinn [Phys. Rev. B {\bf 69}, 205322 (2004)]. We predict that the 4/11 state reported a decade ago by Pan {\em et al.} [Phys. Rev. Lett. {\bf 90}, 016801 (2003)] is a conventional partially spin polarized FQHE of composite fermions, and estimate the Zeeman energy where a phase transition into the unconventional fully spin polarized state will occur.
description: Published version
title: Die Kuppel der Basilika in Weingarten – Konservierung und Restaurierung
Creators: name: Hertlein, Beata
name: Jakobs, Dörthe
Publisher: name: University Library Heidelberg
Year: 2014

description: Denkmalpflege in Baden-Württemberg – Nachrichtenblatt der Landesdenkmalpflege, Bd. 36, Nr. 2 (2007), Beginn und Erscheinungsfrequenz: Ausgaben pro Band: 4
title: Wer hat Angst vor Kalk? Die Sanierung der Stadtmauer in Isny (Landkreis Ravensburg)
Creators: name: Schöne, Anne-Christin
Publisher: name: University Library Heidelberg
Year: 2014

description: Denkmalpflege in Baden-Württemberg – Nachrichtenblatt der Landesdenkmalpflege, Bd. 36, Nr. 2 (2007), Beginn und Erscheinungsfrequenz: Ausgaben pro Band: 4
Utilizing Random Forest for Multivariate Analysis: Exploring the Influence of Dopaminergic Neurons on Drosophila Larvae Locomotion
Creators: name: Behrad, Arman
name: Thoener, Juliane
name: Schleyer, Michael
name: Gerber, Bertram
Publisher: name: G-Node
Year: 2024
Subjects: Computational Neuroscience
Data analysis, machine learning and neuroinformatics

description: Bernstein Conference 2024 abstract. https://bernstein-conference.de
Probing Operator Spreading via Floquet Engineering in a Superconducting Circuit
Creators: name: Zhao, S. K.
name: Ge, Zi-Yong
name: Xiang, Zhongcheng
name: Xue, G. M.
name: Yan, H. S.
name: Wang, Z. T.
name: Wang, Zhan
name: Xu, H. K.
name: Su, F. F.
name: Yang, Z. H.
name: Zhang, He
name: Zhang, Yu-Ran
name: Guo, Xue-Yi
name: Xu, Kai
name: Tian, Ye
name: Yu, H. F.
name: Zheng, D. N.
name: Fan, Heng
name: Zhao, S. P.
Publisher: name: arXiv
Year: 2021
Subjects: subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: Operator spreading, often characterized by out-of-time-order correlators (OTOCs), is one of the central concepts in quantum many-body physics. However, measuring OTOCs is experimentally challenging due to the requirement of reversing the time evolution of systems. Here we apply Floquet engineering to investigate operator spreading in a superconducting 10-qubit chain. Floquet engineering provides an effective way to tune the coupling strength between nearby qubits, which is used to demonstrate quantum walks with tunable couplings, reversed time evolution, and the measurement of OTOCs. A clear light-cone-like operator propagation is observed in the system with multiple excitations, and has a nearly equal velocity as the single-particle quantum walk. For the butterfly operator that is nonlocal (local) under the Jordan-Wigner transformation, the OTOCs show distinct behaviors with (without) a signature of information scrambling in the near integrable system.
description: 6+12 pages, 4 figures
title: ... Knochen, nichts als Knochen – Das osteologische Fundarchiv in Rottenburg am Neckar
Creators: name: Wahl, Joachim
name: Stephan, Elisabeth
Publisher: name: University Library Heidelberg
Year: 2014

description: Denkmalpflege in Baden-Württemberg – Nachrichtenblatt der Landesdenkmalpflege, Bd. 36, Nr. 2 (2007), Beginn und Erscheinungsfrequenz: Ausgaben pro Band: 4
Intervento alla Tavola rotonda "Democrazia e futuro dell'Europa: l'interazione con i cittadini e l'opinione pubblica europea"
Creators: name: TRIGGIANI, ENNIO
Publisher: name: Zenodo
Year: 2023

description: V Convegno Annuale AISDUE - Padova 2 e 3 Novembre 2023
Il Diritto dell'Unione europea nei rapporti tra ordinamenti: tra collaborazione, integrazione e identità
Sessione di chiusura: Democrazia e futuro dell'Europa - tavola rotonda
Presiede Prof.ssa Ornella Porchia, Giudice, Tribunale dell'Unione europea
L'interazione tra Commissione e Parlamento nella definizione delle priorità legislative
Dott. Paolo Stancanelli, Consigliere giuridico principale, Servizio giuridico, Commissione europea
Dott. Luca Visaggio, Direttore, Direzione Affari Legislativi, Servizio giuridico, Parlamento europeo
L'interazione con i cittadini e l'opinione pubblica europea
Prof.ssa Celeste Pesce, Università degli studi di Bari Aldo Moro 
Prof. Ennio Triggiani, Università degli studi di Bari Aldo Moro