cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
The Fredkin staircase: An integrable system with a finite-frequency Drude peak
Creators: name: Singh, Hansveer
name: Vasseur, Romain
name: Gopalakrishnan, Sarang
Publisher: name: arXiv
Year: 2022
Subjects: subject: Statistical Mechanics (cond-mat.stat-mech)
subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: Exactly Solvable and Integrable Systems (nlin.SI)
subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: We introduce and explore an interacting integrable cellular automaton, the Fredkin staircase, that lies outside the existing classification of such automata, and has a structure that seems to lie beyond that of any existing Bethe-solvable model. The Fredkin staircase has two families of ballistically propagating quasiparticles, each with infinitely many species. Despite the presence of ballistic quasiparticles, charge transport is diffusive in the d.c. limit, albeit with a highly non-gaussian dynamic structure factor. Remarkably, this model exhibits persistent temporal oscillations of the current, leading to a delta-function singularity (Drude peak) in the a.c. conductivity at nonzero frequency. We analytically construct an extensive set of operators that anticommute with the time-evolution operator; the existence of these operators both demonstrates the integrability of the model and allows us to lower-bound the weight of this finite-frequency singularity.
description: 4.5 pages, 3 figures plus 9 pages supplemental material
Sub-megahertz homogeneous linewidth for Er in Si via in situ single photon detection
Creators: name: Berkman, Ian R.
name: Lyasota, Alexey
name: de Boo, Gabriele G.
name: Bartholomew, John G.
name: Johnson, Brett C.
name: McCallum, Jeffrey C.
name: Xu, Bin-Bin
name: Xie, Shouyi
name: Ahlefeldt, Rose L.
name: Sellars, Matthew J.
name: Yin, Chunming
name: Rogge, Sven
Publisher: name: arXiv
Year: 2021
Subjects: subject: Quantum Physics (quant-ph)
subject: Materials Science (cond-mat.mtrl-sci)
subject: Optics (physics.optics)
subject: FOS: Physical sciences

description: We studied the optical properties of a resonantly excited trivalent Er ensemble in Si accessed via in situ single photon detection. A novel approach which avoids nanofabrication on the sample is introduced, resulting in a highly efficient detection of 70 excitation frequencies, of which 63 resonances have not been observed in literature. The center frequencies and optical lifetimes of all resonances have been extracted, showing that 5% of the resonances are within 1 GHz of our electrically detected resonances and that the optical lifetimes range from 0.5 ms up to 1.5 ms. We observed inhomogeneous broadening of less than 400 MHz and an upper bound on the homogeneous linewidth of 1.4 MHz and 0.75 MHz for two separate resonances, which is a reduction of more than an order of magnitude observed to date. These narrow optical transition properties show that Er in Si is an excellent candidate for future quantum information and communication applications.
description: 12 pages, 13 figures
Large Communities in a scale-free network
Creators: name: Alves, Caio
name: Ribeiro, Rodrigo
name: Sanchis, Remy
Publisher: name: arXiv
Year: 2015
Subjects: subject: Probability (math.PR)
subject: FOS: Mathematics
subject: 05C82, 60K40, 68R10

description: We prove the existence of a large complete subgraph w.h.p. in a preferential attachment random graph process with an edge-step. That is, we prove that the random graph $G_{t}$ produced by the so-called GLP model at time $t$ contains a complete subgraph of order $t^α$, where $α= (1-\varepsilon)\frac{1-p}{2-p}$, $\varepsilon$ is any number such that $0
description: 14 pages. Updated version
Identifying Chromophore Binding Modes through Principle Component Analysis of FTIR Spectroscopy
Creators: name: Zemaitis, Morgan
Publisher: name: The University of North Carolina at Chapel Hill University Libraries
Year: 2017

description: In the quest for solar technology to reach widespread implementation, dye-sensitized solar cells (DSSC) have been studied as a cost effective alternative to silicon solar cells.1 Here we use lead titanate (PbTiO3), a novel p-type semiconductor, to probe the surface interaction of the P1 chromophore (4-(bis-{4- [5-(2,2-dicyano-vinyl)thiophene-2-yl]phenyl}amino)benzoic acid) through its binding modes, which can impact the charge transfer efficiency of the device. The identity of binding modes are typically found through a combination of FTIR, XPS, and Raman spectroscopy—all of which are predicated on high chromophore loading to give high signal to noise spectra. Yet p-type devices do not typically have as high dye loading as n-type and therefore lack research in this area. To facilitate understanding of these surface interactions, we use principal component analysis (PCA) of FTIR spectroscopy to identify binding modes at the P1-PbTiO3 interface. This multivariate statistical method reduces large datasets to a lesser amount of principle components that separate out noise and capitalize on unique phenomena in the data without the prerequisite of prior assumptions. Although PCA used in this experiment proved to be informative, it renders incapable of identifying possible binding modes for P1.
Optical and Zeeman spectroscopy of individual Er ion pairs in silicon
Creators: name: Hu, Guangchong
name: Ahlefeldt, Rose L.
name: de Boo, Gabriele G.
name: Lyasota, Alexey
name: Johnson, Brett C.
name: McCallum, Jeffrey C.
name: Sellars, Matthew J.
name: Yin, Chunming
name: Rogge, Sven
Publisher: name: arXiv
Year: 2021
Subjects: subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: We make the first study the optical energy level structure and interactions of pairs of single rare earth ions using a hybrid electro-optical detection method applied to Er-implanted silicon. Two examples of Er3+ pairs were identified in the optical spectrum by their characteristic energy level splitting patterns, and linear Zeeman spectra were used to characterise the sites. One pair is positively identified as two identical Er3+ ions in sites of at least C2 symmetry coupled via a large, 200 GHz Ising-like spin interaction and 1.5 GHz resonant optical interaction. Small non-Ising contributions to the spin interaction are attributed to distortion of the site measurable because of the high resolution of the single-ion measurement. The interactions are compared to previous measurements made using rare earth ensemble systems, and the application of this type of strongly coupled ion array to quantum computing is discussed.
description: 11 pages, 5 figures
Continuous symmetry breaking along the Nishimori line
Creators: name: Garban, Christophe
name: Spencer, Thomas
Publisher: name: arXiv
Year: 2021
Subjects: subject: Probability (math.PR)
subject: Mathematical Physics (math-ph)
subject: Statistics Theory (math.ST)
subject: FOS: Mathematics
subject: FOS: Physical sciences

description: We prove continuous symmetry breaking in three dimensions for a special class of disordered models described by the Nishimori line. The spins take values in a group such as $\mathbb{S}^1$, $SU(n)$ or $SO(n)$. Our proof is based on a theorem about group synchronization proved by Abbe, Massoulié, Montanari, Sly and Srivastava [AMM+18]. It also relies on a gauge transformation acting jointly on the disorder and the spin configurations due to Nishimori [Nis81, GHLDB85]. The proof does not use reflection positivity. The correlation inequalities of [MMSP78] imply symmetry breaking for the classical $XY$ model without disorder.
description: 22 pages. (Added 1. The case where a (quenched) magnetic field is applied at each vertex 2. Symmetry breaking of left-isoclinic rotations for classical O(4) model and 3. How to recover Long-range-order for classical XY model using [MMSP78])
Push button reproduction attempt of a research claim from Benjamin Djulbegovic, David J. Weiss and Iztok Hozo, (2020), in medRxiv
Creators: name: Tutor, Melba
Publisher: name: Open Science Framework
Year: 2022
Subjects: subject: Medicine and Health Sciences
subject: Social and Behavioral Sciences

description: Claim paragraph (from the sourcing sheet): We selected the claim that the number of deaths from COVID-19 is significantly associated with the decision to issue the stay-at-home order. This reflects the following statement from the paper’s abstract: “We also observed a clear dose-response relationship in the Cox model: the larger the number of cases, or deaths, the higher the probability that the stay-at-home order will be made.” The claim was tested by using a Cox regression analysis, in which all data for eligible states was used, but those states that had not issued the order by the time of the analysis were censored. The Cox regression curves show that the number of deaths from COVID-19 is significantly associated with the probability of declaring the state-at-home order (hazard ratio (HR) = 1.68, p < 0.00001). The focal test in the original paper is: The Cox regression curves show that the number of deaths from COVID-19 is significantly associated with the probability of declaring the state-at-home order (hazard ratio (HR) = 1.68, p < 0.00001).
Seeing Inside the Field of Teacher Education Research Website
Creators: name: McDonough, Sharon
name: Keamy, Ron
name: Selkrig, Mark
name: Brandenburg, Robyn
name: Belton, Amanda
Publisher: name: University of Melbourne
Year: 2023
Subjects: Teacher education and professional development of educators

description: Our project aim is to explore what it means to be working in the highly politicized and contested field of teacher education, where policy drivers are entangled with broader political agendas. This website describes the project and visualises the research data from our respondent teacher educators.
Evidence for the Transcription Factor Occupancy Theory: An in-silico Analysis of DNA Methylation Responses to Metal Exposure in Adults
Creators: name: Gona, Saideep
Publisher: name: The University of North Carolina at Chapel Hill University Libraries
Year: 2016

description: The mechanism by which DNA methylation patterns are orchestrated is still poorly understood. In the context of environmental exposures, it is hypothesized that the presence of transcription factor binding in gene promoter regions affects the outcome of methylation patterning. Here, an in-silico approach was used to test this hypothesis in the context of adult exposure to metals. 334 unique genes from four microarray-based cross-sectional studies were assembled for analysis. Comparison was done on the basis of gene function as well as common transcription factor binding sequences between gene promoter regions. Despite the presence of only two overlapping genes at the gene list level, 43 unique transcription factors were found to be common within gene lists associated with at least one study. Ten of these transcription factors were common across the majority of studies (n >3). These results are highly consistent with previous work involving in utero subjects. Additionally, TFs also show common responsiveness to the Glucocorticoid Receptor pathway, a pathway characteristic of environmental stress response. Together, this study supports the transcription factor occupancy theory as a mediator of environmental epigenetic response.
Moments of zeta and correlations of divisor-sums: I
Creators: name: Conrey, Brian
name: Keating, Jonathan P.
Publisher: name: arXiv
Year: 2015
Subjects: subject: Number Theory (math.NT)
subject: FOS: Mathematics

description: We examine the calculation of the second and fourth moments and shifted moments of the Riemann zeta-function on the critical line using long Dirichlet polynomials and divisor correlations. Previously this approach has proved unsuccessful in computing moments beyond the eighth, even heuristically. A careful analysis of the second and fourth moments illustrates the nature of the problem and enables us to identify the terms that are missed in the standard application of these methods.
WorldFAIR Project (M2) Graphic design and project identity
Creators: name: Asmi, Ari
Publisher: name: Zenodo
Year: 2022
Subjects: research data
FAIR data
WorldFAIR project

description: Milestone containing the logos and branding guidelines (Project Milestone M2) for EC WIDERA-funded project "WorldFAIR: Global cooperation on FAIR data policy and practice". New versions may be produced throughout the lifespan of the project and will be added to Zenodo as subsequent versions. Please visit WorldFAIR online at http://worldfair-project.eu. WorldFAIR is funded by the EC HORIZON-WIDERA-2021-ERA-01-41 Coordination and Support Action under Grant Agreement No. 101058393.
Molecular Energy Learning Using Alternative Blackbox Matrix-Matrix Multiplication Algorithm for Exact Gaussian Process
Creators: name: Sun, Jiace
name: Cheng, Lixue
name: Miller, Thomas F.
Publisher: name: arXiv
Year: 2021
Subjects: subject: Chemical Physics (physics.chem-ph)
subject: Machine Learning (cs.LG)
subject: Computational Physics (physics.comp-ph)
subject: FOS: Physical sciences
subject: FOS: Computer and information sciences

description: We present an application of the blackbox matrix-matrix multiplication (BBMM) algorithm to scale up the Gaussian Process (GP) training of molecular energies in the molecular-orbital based machine learning (MOB-ML) framework. An alternative implementation of BBMM (AltBBMM) is also proposed to train more efficiently (over four-fold speedup) with the same accuracy and transferability as the original BBMM implementation. The training of MOB-ML was limited to 220 molecules, and BBMM and AltBBMM scale the training of MOB-ML up by over 30 times to 6500 molecules (more than a million pair energies). The accuracy and transferability of both algorithms are examined on the benchmark datasets of organic molecules with 7 and 13 heavy atoms. These lower-scaling implementations of the GP preserve the state-of-the-art learning efficiency in the low-data regime while extending it to the large-data regime with better accuracy than other available machine learning works on molecular energies.
description: Preprint, under review
Ricci flow on surfaces along the standard lightcone in the $3+1$-Minkowski spacetime
Creators: name: Wolff, Markus
Publisher: name: arXiv
Year: 2022
Subjects: subject: Differential Geometry (math.DG)
subject: FOS: Mathematics
subject: 53C44 (Primary)

description: Identifying any conformally round metric on the $2$-sphere with a unique cross section on the standard lightcone in the $3+1$-Minkowski spacetime, we gain a new perspective on $2d$-Ricci flow on topological spheres. It turns out that in this setting, Ricci flow is equivalent to a null mean curvature flow first studied by Roesch--Scheuer along null hypersurfaces. Exploiting this equivalence, we can translate well-known results from $2d$-Ricci flow first proven by Hamilton into a full classification of the singularity models for null mean curvature flow in the Minkowski lightcone. Conversely, we obtain a new proof of Hamilton's classical result using only the maximum principle.
Transformer-based Personalized Attention Mechanism for Medical Images with Clinical Records
Creators: name: Takagi, Yusuke
name: Hashimoto, Noriaki
name: Masuda, Hiroki
name: Miyoshi, Hiroaki
name: Ohshima, Koichi
name: Hontani, Hidekata
name: Takeuchi, Ichiro
Publisher: name: arXiv
Year: 2022
Subjects: subject: Image and Video Processing (eess.IV)
subject: Computer Vision and Pattern Recognition (cs.CV)
subject: FOS: Electrical engineering, electronic engineering, information engineering
subject: FOS: Computer and information sciences
subject: I.2.1; J.3

description: In medical image diagnosis, identifying the attention region, i.e., the region of interest for which the diagnosis is made, is an important task. Various methods have been developed to automatically identify target regions from given medical images. However, in actual medical practice, the diagnosis is made based not only on the images but also on a variety of clinical records. This means that pathologists examine medical images with some prior knowledge of the patients and that the attention regions may change depending on the clinical records. In this study, we propose a method called the Personalized Attention Mechanism (PersAM), by which the attention regions in medical images are adaptively changed according to the clinical records. The primary idea of the PersAM method is to encode the relationships between the medical images and clinical records using a variant of Transformer architecture. To demonstrate the effectiveness of the PersAM method, we applied it to a large-scale digital pathology problem of identifying the subtypes of 842 malignant lymphoma patients based on their gigapixel whole slide images and clinical records.
Comparing Run Time Assurance Approaches for Safe Spacecraft Docking
Creators: name: Dunlap, Kyle
name: Hibbard, Michael
name: Mote, Mark
name: Hobbs, Kerianne
Publisher: name: arXiv
Year: 2021
Subjects: subject: Systems and Control (eess.SY)
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: Run Time Assurance (RTA) systems are online safety verification techniques that filter the output of a primary controller to assure safety. RTA approaches are used in safety-critical control to intervene when a performance-driven primary controller would cause the system to violate safety constraints. This paper presents four categories of RTA approaches based on their membership to explicit or implicit monitoring and switching or optimization interventions. To validate the feasibility of each approach and compare computation time, four RTAs are defined for a three-dimensional spacecraft docking example with safety constraints on velocity.
Few-Shot Learning by Dimensionality Reduction in Gradient Space
Creators: name: Gauch, Martin
name: Beck, Maximilian
name: Adler, Thomas
name: Kotsur, Dmytro
name: Fiel, Stefan
name: Eghbal-zadeh, Hamid
name: Brandstetter, Johannes
name: Kofler, Johannes
name: Holzleitner, Markus
name: Zellinger, Werner
name: Klotz, Daniel
name: Hochreiter, Sepp
name: Lehner, Sebastian
Publisher: name: arXiv
Year: 2022
Subjects: subject: Machine Learning (cs.LG)
subject: FOS: Computer and information sciences

description: We introduce SubGD, a novel few-shot learning method which is based on the recent finding that stochastic gradient descent updates tend to live in a low-dimensional parameter subspace. In experimental and theoretical analyses, we show that models confined to a suitable predefined subspace generalize well for few-shot learning. A suitable subspace fulfills three criteria across the given tasks: it (a) allows to reduce the training error by gradient flow, (b) leads to models that generalize well, and (c) can be identified by stochastic gradient descent. SubGD identifies these subspaces from an eigendecomposition of the auto-correlation matrix of update directions across different tasks. Demonstrably, we can identify low-dimensional suitable subspaces for few-shot learning of dynamical systems, which have varying properties described by one or few parameters of the analytical system description. Such systems are ubiquitous among real-world applications in science and engineering. We experimentally corroborate the advantages of SubGD on three distinct dynamical systems problem settings, significantly outperforming popular few-shot learning methods both in terms of sample efficiency and performance.
description: Accepted at Conference on Lifelong Learning Agents (CoLLAs) 2022. Code: https://github.com/ml-jku/subgd Blog post: https://ml-jku.github.io/subgd
Optimally Band-Limited Noise Filtering for Single Qubit Gates
Creators: name: Oda, Yasuo
name: Lucarelli, Dennis
name: Schultz, Kevin
name: Clader, B. David
name: Quiroz, Gregory
Publisher: name: arXiv
Year: 2022
Subjects: subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: We introduce a quantum control protocol that produces smooth, experimentally implementable control sequences optimized to combat temporally correlated noise for single qubit systems. The control ansatz is specifically chosen to be a functional expansion of discrete prolate spheroidal sequences, a discrete time basis known to be optimally concentrated in time and frequency, and quite attractive when faced with experimental control hardware constraints. We leverage the filter function formalism to transform the control problem into a filter design problem, and show that the frequency response of a quantum system can be carefully tailored to avoid the most relevant dynamical contributions of noise processes. Using gradient ascent, we obtain optimized filter functions and exploit them to elucidate important details about the relationship between filter function design, control bandwidth, and noise characteristics. In particular, we identify regimes of optimal noise suppression and in turn, optimal control bandwidth directly proportional to the size of the frequency bands where the noise power is large. In addition to providing guiding principles for filter design, our approach enables the development of controls that simultaneously yield robust noise filtering and high fidelity single qubit logic operations in a wide variety of complex noise environments.
description: 26 pages, 12 figures
Measuring the signal strength in ttH with H->bb
Creators: name: Moretti, Niccolo
name: Petrov, Petar
name: Pozzorini, Stefano
name: Spannowsky, Michael
Publisher: name: arXiv
Year: 2015
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: High Energy Physics - Experiment (hep-ex)
subject: FOS: Physical sciences

description: A precise measurement of the Higgs boson couplings to bottom and top quarks is of paramount importance during the upcoming LHC runs. We present a comprehensive analysis for the Higgs production process in association with a semi-leptonically decaying top-quark pair and subsequent Higgs boson decay into bottom quarks. Due to the highly complex final state and large Standard Model backgrounds, measuring the signal strength in this process is known to be challenging. To maximise the sensitivity, we analyse different, statistically independent, phase space regions, where one or more of the heavy resonances are boosted. This allows us to employ jet substructure techniques, which help to reduce large tt+X backgrounds. We find that combining several ttH(bb) phase space regions will allow one to measure deviations of the Standard Model signal strength of order 20% with 3 ab^{-1}.
Batch size-invariance for policy optimization
Creators: name: Hilton, Jacob
name: Cobbe, Karl
name: Schulman, John
Publisher: name: arXiv
Year: 2021
Subjects: subject: Machine Learning (cs.LG)
subject: Machine Learning (stat.ML)
subject: FOS: Computer and information sciences

description: We say an algorithm is batch size-invariant if changes to the batch size can largely be compensated for by changes to other hyperparameters. Stochastic gradient descent is well-known to have this property at small batch sizes, via the learning rate. However, some policy optimization algorithms (such as PPO) do not have this property, because of how they control the size of policy updates. In this work we show how to make these algorithms batch size-invariant. Our key insight is to decouple the proximal policy (used for controlling policy updates) from the behavior policy (used for off-policy corrections). Our experiments help explain why these algorithms work, and additionally show how they can make more efficient use of stale data.
description: 32 pages. Code is available at https://github.com/openai/ppo-ewma
Metallic quantum critical points with finite BCS couplings
Creators: name: Raghu, Srinivas
name: Torroba, Gonzalo
name: Wang, Huajia
Publisher: name: arXiv
Year: 2015
Subjects: subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: Superconductivity (cond-mat.supr-con)
subject: High Energy Physics - Theory (hep-th)
subject: FOS: Physical sciences

description: We study the fate of superconductivity in the vicinity of a class of metallic quantum critical points obtained by coupling a Fermi surface to a critical boson. In such systems there is a competition between the enhanced pairing tendency due to the presence of long-range attractive interactions near criticality, and the suppression of superconductivity due to the destruction of the Landau quasiparticles. We show that there are regimes in which these two effects offset one another, resulting in a novel non-Fermi liquid fixed point with finite, scale invariant, BCS coupling. While these interactions lead to substantial superconducting fluctuations, they do not drive the system into a superconducting ground state. The metallic quantum critical fixed points are connected to the superconducting regime by a continuous phase transition. These results are established using a controlled expansion in the deviation from d=3 spatial dimensions, as well as in a large number N of internal flavors. We discuss the possible relevance of our findings to the phenomenon of superconducting domes condensing out of a non-Fermi liquid normal state near quantum critical points.
description: 28 pages, 7 figures
Developing Small Molecule Probes to Inhibit Transcriptional Repression by Long Noncoding RNAs
Creators: name: Noel, Melodie
Publisher: name: The University of North Carolina at Chapel Hill University Libraries
Year: 2017

description: Sex determination by the XY chromosome system is found in numerous organisms. In both mice and humans, females have two X chromosomes, while males have one X and one Y chromosome. It is vital to balance the gene expression in females through the epigenetic inactivation of one of the two X chromosomes. This inactivation is regulated in part by X-inactive specific transcript (Xist) a long noncoding RNA that induces silencing by binding to one of the X chromosomes. Xist has been shown to recruit proteins that read, write, and erase histone modifications and DNA methylation; however, the mechanistic role of these proteins in Xist-mediated silencing is poorly understood. The purpose of this study is to understand how epigenetic modifications such as histone methylation and deacetylation are involved in Xist silencing of the X chromosome.
Planning 5G Networks for Rural Fixed Wireless Access
Creators: name: Lappalainen, Andrew
name: Zhang, Yuhao
name: Rosenberg, Catherine
Publisher: name: arXiv
Year: 2021
Subjects: subject: Networking and Internet Architecture (cs.NI)
subject: Signal Processing (eess.SP)
subject: FOS: Computer and information sciences
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: We study the planning of a rural 5G multi-user massive MIMO fixed wireless access system to offer fixed broadband service to homes. Specifically, we aim to determine the user limit, i.e., the maximum number of homes that can simultaneously receive target minimum bit rates (MBRs) on the downlink (DL) and on the uplink (UL) given a set of network resources and a cell radius. To compute that limit, we must understand how resources should be shared between the DL and UL and how user and stream selection, precoding and combining, and power distribution should be performed. We use block diagonalization and propose a static grouping strategy that organizes homes into fixed groups (of possibly different sizes) in the DL and UL; then we develop a simple approach to compute the user limit that we validate numerically. We study the impact of group size and show that smaller groups yield larger user limits in a 3.5 GHz band. We show how the user limit at different cell radii is impacted by the system bandwidth, the number of antennas at the base station and homes, the transmit power, and the DL and UL MBRs. Lastly, we offer insights into how the network could be operated.
description: 16 pages, 9 figures, 5 tables
On some spectral properties of the weighted $\overline\partial$-Neumann problem
Creators: name: Berger, Franz
name: Haslinger, Friedrich
Publisher: name: arXiv
Year: 2015
Subjects: subject: Complex Variables (math.CV)
subject: FOS: Mathematics
subject: 32W05 (Primary), 30H20, 35N15 (Secondary)

description: We derive a necessary condition for compactness of the weighted $\overline\partial$-Neumann operator on the space $L^2(\mathbb C^n,e^{-φ})$, under the assumption that the corresponding weighted Bergman space of entire functions has infinite dimension. Moreover, we compute the essential spectrum of the complex Laplacian for decoupled weights, $φ(z) = φ_1(z_1) + \dotsb + φ_n(z_n)$, and investigate (non-) compactness of the $\overline\partial$-Neumann operator in this case. More can be said if every $Δφ_j$ defines a nontrivial doubling measure.
description: 11 pages; fixed some mistakes and added new results
Learned Uncertainty Calibration for Visual Inertial Localization
Creators: name: Tsuei, Stephanie
name: Soatto, Stefano
name: Tabuada, Paulo
name: Milam, Mark B.
Publisher: name: arXiv
Year: 2021
Subjects: subject: Robotics (cs.RO)
subject: Systems and Control (eess.SY)
subject: FOS: Computer and information sciences
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: The widely-used Extended Kalman Filter (EKF) provides a straightforward recipe to estimate the mean and covariance of the state given all past measurements in a causal and recursive fashion. For a wide variety of applications, the EKF is known to produce accurate estimates of the mean and typically inaccurate estimates of the covariance. For applications in visual inertial localization, we show that inaccuracies in the covariance estimates are \emph{systematic}, i.e. it is possible to learn a nonlinear map from the empirical ground truth to the estimated one. This is demonstrated on both a standard EKF in simulation and a Visual Inertial Odometry system on real-world data.
description: Published in International Conference on Robotics and Automation (ICRA) 2021
First Evaluation of Meson and $τ$ lepton Spectra and Search for Heavy Neutral Leptons at ILC Beam Dump
Creators: name: Nojiri, Mihoko M.
name: Sakaki, Yasuihito
name: Tobioka, Kohsaku
name: Ueda, Daiki
Publisher: name: arXiv
Year: 2022
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: High Energy Physics - Experiment (hep-ex)
subject: FOS: Physical sciences

description: A beam dump experiment can be seamlessly added to the {proposed} International Linear Collider (ILC) program because the high energy electron beam should be dumped after the collision point. The ILC beam dump experiment will provide an excellent opportunity to search for new long-lived particles. Since many of them can be produced by a rare decay of standard model particles, we evaluate spectra of the mesons and $τ$ lepton at the decay based on the PHITS and PYTHIA8 simulations. As a motivated physics case, we study the projected sensitivity of heavy neutral leptons at the ILC beam dump experiment. The heavy neutral leptons can also be produced via deep inelastic scattering and $Z$ boson decay at the ILC main detector, which we include in the projection. With the multi-track signal, the reach would be greatly extended in mass and coupling, even compared with the other proposed searches.
description: 23+18 pages, 24 figures; typos fixed; discussions about the background added; Fig. 6 and appendix G added for more information; version published in JHEP
Dissipative Dynamics of Quantum Vortices in Fermionic Superfluid
Creators: name: Barresi, Andrea
name: Boulet, Antoine
name: Magierski, Piotr
name: Wlazłowski, Gabriel
Publisher: name: arXiv
Year: 2022
Subjects: subject: Quantum Gases (cond-mat.quant-gas)
subject: Other Condensed Matter (cond-mat.other)
subject: FOS: Physical sciences

description: In a recent article, Kwon et al. [Nature (London) {\bf 600}, 64 (2021)] revealed nonuniversal dissipative dynamics of quantum vortices in a fermionic superfluid. The enhancement of the dissipative process is pronounced for the Bardeen-Cooper-Schrieffer interaction regime, and it was suggested that the effect is due to the presence of quasiparticles localized inside the vortex core. We test this hypothesis through numerical simulations with time-dependent density-functional theory: a fully microscopic framework with fermionic degrees of freedom. The results of fully microscopic calculations expose the impact of the vortex-bound states on dissipative dynamics in a fermionic superfluid. Their contribution is too weak to explain the experimental measurements, and we identify that thermal effects, giving rise to mutual friction between superfluid and the normal component, dominate the observed dynamics.
description: main paper with supplemental material; ancillary files containing reproducibility packs and example movies
On the Situational Ambiguity of Moral Courage
Creators: name: Toribio-Flórez, Daniel
name: Baumert, Anna
name: Sckopke (Halmburger), Anna
name: Sasse, Julia
Publisher: name: Open Science Framework
Year: 2022
Subjects: subject: Ambiguity
subject: Justice Sensitivity
subject: Moral Courage
subject: Punishment
subject: Three-person punishment game

description: In this project, we investigate the effects of different sources of Situational Ambiguity on the decision of third-parties to punish norm transgressors in a three-person punishment game (3PPG). We further examine whether punishment under Situational Ambiguity might better predict intervention behavior in a staged Embezzlement in the lab.
Effect of Overdispersion of Lethal Lesions on Cell Survival Curves
Creators: name: Loan, M.
name: Bhat, A.
Publisher: name: arXiv
Year: 2021
Subjects: subject: Medical Physics (physics.med-ph)
subject: FOS: Physical sciences

description: We explore the effects of overdispersed DNA lesion distribution on the shapes of cell surviving curves of mammalian cells exposed to hadrons at various doses. To provide a theoretical framework in resolving discrepancies between experimental data and Linear-quadratic (LQ)model predictions, we employ a non-Poisson distribution of lethal lesions together with non-homologous end-joining (NHEJ) pathway of double-strand break (DSB) repair. A negative binomial (NB)distribution is used to study the effect of the overdispersion on the shapes and possible reduction of dose-response curvature at high doses. The error distribution is customized to include an adjustable parameter so that the overdispersion parameter of NB is not constant but depends on the mean of the distribution. The trends in predicted cell survival responses are compared with the experimental data in low and high dose regions at various LET values for proton, helium, and carbon ions. The cell survival responses calculated by the present method reveal straightening of survival curves at high doses. This suggests that the overdispersion causes the cell survival dose-response to approximate log-linear behaviour at high doses. Comparison of the cell survival predictions with the Particle Irradiation Data Ensemble (PIDE) shows that the NB model provides better fits to the experimental data following low and intermediate doses. Whereas the model predictions are not validated at tiny and very high doses, nonetheless, the presented approach provides insight into underlying microscopic mechanisms which may help to improve the radiobiological responses along the dose-response curves and resolve discrepancies between experimental data and current cell survival models.
description: 11 pages, 9 figures
HST astrometry in the 30 Doradus region: measuring proper motions of individual stars in the Large Magellanic Cloud
Creators: name: Platais, I.
name: van der Marel, R. P.
name: Lennon, D. J.
name: Anderson, J.
name: Bellini, A.
name: Sabbi, E.
name: Sana, H.
name: Bedin, L. R.
Publisher: name: arXiv
Year: 2015
Subjects: subject: Solar and Stellar Astrophysics (astro-ph.SR)
subject: Astrophysics of Galaxies (astro-ph.GA)
subject: Instrumentation and Methods for Astrophysics (astro-ph.IM)
subject: FOS: Physical sciences

description: We present measurements of positions and relative proper motions in the 30 Doradus region of the Large Magellanic Cloud (LMC). We detail the construction of a single-epoch astrometric reference frame, based on specially-designed observations obtained with the two main imaging instruments ACS/WFC and WFC3/UVIS onboard the Hubble Space Telescope (HST). Internal comparisons indicate a sub milli-arc-second (mas) precision in the positions and the presence of semi-periodic systematics with a mean amplitude of ~0.8 mas. We combined these observations with numerous archival images taken with WFPC2 and spanning 17 years. The precision of the resulting proper motions for well-measured stars around the massive cluster R 136 can be as good as ~20 microarcsec/yr, although the true accuracy of proper motions is generally lower due to the residual systematic errors. The observed proper-motion dispersion for our highest-quality measurements is ~0.1 mas/yr. Our catalog of positions and proper motions contains 86,590 stars down to V~25 and over a total area of ~70 square arcmin. We examined the proper motions of 105 relatively bright stars and identified a total of 6 candidate runaway stars. We are able to tentatively confirm the runaway status of star VFTS 285, consistent with the findings from line-of-sight velocities, and to show that this star has likely been ejected from R 136. This study demonstrates that with HST it is now possible to reliably measure proper motions of individual stars in the nearest dwarf galaxies such as the LMC.
description: 33 pages, 19 figures (1 in low-res), 3 tables. Accepted for publication in AJ
Run Time Assurance for Safety-Critical Systems: An Introduction to Safety Filtering Approaches for Complex Control Systems
Creators: name: Hobbs, Kerianne
name: Mote, Mark
name: Abate, Matthew
name: Coogan, Samuel
name: Feron, Eric
Publisher: name: arXiv
Year: 2021
Subjects: subject: Systems and Control (eess.SY)
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: Run Time Assurance (RTA) Systems are online verification mechanisms that filter an unverified primary controller output to ensure system safety. The primary control may come from a human operator, an advanced control approach, or an autonomous control approach that cannot be verified to the same level as simpler control systems designs. The critical feature of RTA systems is their ability to alter unsafe control inputs explicitly to assure safety. In many cases, RTA systems can functionally be described as containing a monitor that watches the state of the system and output of a primary controller, and a backup controller that replaces or modifies control input when necessary to assure safety. An important quality of an RTA system is that the assurance mechanism is constructed in a way that is entirely agnostic to the underlying structure of the primary controller. By effectively decoupling the enforcement of safety constraints from performance-related objectives, RTA offers a number of useful advantages over traditional (offline) verification. This article provides a tutorial on developing RTA systems.
Quantifying the performance of approximate teleportation and quantum error correction via symmetric two-PPT-extendibility
Creators: name: Holdsworth, Tharon
name: Singh, Vishal
name: Wilde, Mark M.
Publisher: name: arXiv
Year: 2022
Subjects: subject: Quantum Physics (quant-ph)
subject: Information Theory (cs.IT)
subject: FOS: Physical sciences
subject: FOS: Computer and information sciences

description: The ideal realization of quantum teleportation relies on having access to a maximally entangled state; however, in practice, such an ideal state is typically not available and one can instead only realize an approximate teleportation. With this in mind, we present a method to quantify the performance of approximate teleportation when using an arbitrary resource state. More specifically, after framing the task of approximate teleportation as an optimization of a simulation error over one-way local operations and classical communication (LOCC) channels, we establish a semi-definite relaxation of this optimization task by instead optimizing over the larger set of two-PPT-extendible channels. The main analytical calculations in our paper consist of exploiting the unitary covariance symmetry of the identity channel to establish a significant reduction of the computational cost of this latter optimization. Next, by exploiting known connections between approximate teleportation and quantum error correction, we also apply these concepts to establish bounds on the performance of approximate quantum error correction over a given quantum channel. Finally, we evaluate our bounds for various examples of resource states and channels.
description: v4: 48 pages, 7 figures, accepted for publication in Physical Review A
Fiducial Drell-Yan production at the LHC improved by transverse-momentum resummation at N$^4$LL+N$^3$LO
Creators: name: Neumann, Tobias
name: Campbell, John
Publisher: name: arXiv
Year: 2022
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: High Energy Physics - Experiment (hep-ex)
subject: FOS: Physical sciences

description: Drell-Yan production is one of the precision cornerstones of the LHC, serving as calibration for measurements such as the $W$-boson mass. Its extreme precision at the level of 1% challenges theory predictions at the highest level. We present the first independent calculation of Drell-Yan production at order $α_s^3$ in transverse-momentum ($q_T$) resummation improved perturbation theory. Our calculation reaches the state-of-the-art through inclusion of the recently published four loop rapidity anomalous dimension and three loop massive axial-vector contributions. We compare to the most recent data from CMS with fiducial and differential cross-section predictions and find excellent agreement at the percent level. Our resummed calculation including the matching to $Z$+jet production at NNLO is publicly available in the upcoming CuTe-MCFM 10.3 release and allows for theory-data comparison at an unprecedented level.
description: 14 pages, 7 figures; v2: include N3LO fixed order; add details on calculation and validation
Mathisson-Papapetrou-Tulczyjew-Dixon (MPTD) equations in ultra-relativistic regime and gravimagnetic moment
Creators: name: Deriglazov, Alexei A.
name: Ramírez, Walberto Guzmán
Publisher: name: arXiv
Year: 2015
Subjects: subject: General Relativity and Quantum Cosmology (gr-qc)
subject: High Energy Physics - Theory (hep-th)
subject: Mathematical Physics (math-ph)
subject: FOS: Physical sciences

description: Mathisson-Papapetrou-Tulczyjew-Dixon (MPTD) equations in the Lagrangian formulation correspond to the minimal interaction of spin with gravity. Due to the interaction, in the Lagrangian equations instead of the original metric $g$ emerges spin-dependent effective metric $G=g+h(S)$. So we need to decide, which of them the MPTD particle sees as the space-time metric. We show that MPTD equations, if considered with respect to original metric, have unsatisfactory behavior: the acceleration in the direction of velocity grows up to infinity in the ultra-relativistic limit. If considered with respect to $G$, the theory has no this problem. But the metric now depends on spin, so there is no unique space-time manifold for the Universe of spinning particles: each particle probes his own three-dimensional geometry. This can be improved by adding a non-minimal interaction of spin with gravity through gravimagnetic moment. The modified MPTD equations with unit gravimagnetic moment have reasonable behavior within the original metric.
description: 5 pages, typos corrected, close to published version
The shell game: a panoramic view of Fornax
Creators: name: Bate, N. F.
name: McMonigal, B.
name: Lewis, G. F.
name: Irwin, M. J.
name: Gonzalez-Solares, E.
name: Shanks, T.
name: Metcalfe, N.
Publisher: name: arXiv
Year: 2015
Subjects: subject: Astrophysics of Galaxies (astro-ph.GA)
subject: FOS: Physical sciences

description: We present a panoramic study of the Fornax dwarf spheroidal galaxy, using data obtained as part of the VLT Survey Telescope (VST) ATLAS Survey. The data presented here -- a subset of the full survey -- uniformly cover a region of 25 square degrees centred on the galaxy, in $g$, $r$ and $i$-bands. This large area coverage reveals two key differences to previous studies of Fornax. First, data extending beyond the nominal tidal radius of the dwarf highlight the presence of a second distinct red giant branch population. This bluer red giant branch appears to be coeval with the horizontal branch population. Second, a shell structure located approximately 1.4 degrees from the centre of Fornax is shown to be a mis-identified background overdensity of galaxies. This last result casts further doubt on the hypothesis that Fornax underwent a gas-rich merger in its relatively recent past.
description: 16 pages, 14 figures, accepted for publication in MNRAS, supplementary data available from first author
Familial Risk, Children's Depressive Symptoms and Potential Moderation of General Intelligence - ABCD Study
Creators: name: Bai, Ling
name: Ritchie, Stuart
Publisher: name: Open Science Framework
Year: 2022
Subjects: subject: Social and Behavioral Sciences
subject: children's depression
subject: depression
subject: general intelligence

description: A study of the association between familial risk of depression and children's lifetime depressive symptoms, and potential moderation of children's general intelligence (at age 9-10) using baseline data of Adolescent Brain Cognitive Development (ABCD) study.
NFDLM: A Lightweight Network Flow based Deep Learning Model for DDoS Attack Detection in IoT Domains
Creators: name: Saurabh, Kumar
name: Kumar, Tanuj
name: Singh, Uphar
name: Vyas, O. P.
name: Khondoker, Rahamatullah
Publisher: name: arXiv
Year: 2022
Subjects: subject: Cryptography and Security (cs.CR)
subject: Machine Learning (cs.LG)
subject: FOS: Computer and information sciences

description: In the recent years, Distributed Denial of Service (DDoS) attacks on Internet of Things (IoT) devices have become one of the prime concerns to Internet users around the world. One of the sources of the attacks on IoT ecosystems are botnets. Intruders force IoT devices to become unavailable for its legitimate users by sending large number of messages within a short interval. This study proposes NFDLM, a lightweight and optimised Artificial Neural Network (ANN) based Distributed Denial of Services (DDoS) attack detection framework with mutual correlation as feature selection method which produces a superior result when compared with Long Short Term Memory (LSTM) and simple ANN. Overall, the detection performance achieves approximately 99\% accuracy for the detection of attacks from botnets. In this work, we have designed and compared four different models where two are based on ANN and the other two are based on LSTM to detect the attack types of DDoS.
description: 7 pages
DPFM: Deep Partial Functional Maps
Creators: name: Attaiki, Souhaib
name: Pai, Gautam
name: Ovsjanikov, Maks
Publisher: name: arXiv
Year: 2021
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: Artificial Intelligence (cs.AI)
subject: FOS: Computer and information sciences

description: We consider the problem of computing dense correspondences between non-rigid shapes with potentially significant partiality. Existing formulations tackle this problem through heavy manifold optimization in the spectral domain, given hand-crafted shape descriptors. In this paper, we propose the first learning method aimed directly at partial non-rigid shape correspondence. Our approach uses the functional map framework, can be trained in a supervised or unsupervised manner, and learns descriptors directly from the data, thus both improving robustness and accuracy in challenging cases. Furthermore, unlike existing techniques, our method is also applicable to partial-to-partial non-rigid matching, in which the common regions on both shapes are unknown a priori. We demonstrate that the resulting method is data-efficient, and achieves state-of-the-art results on several benchmark datasets. Our code and data can be found online: https://github.com/pvnieo/DPFM