November 2018 arXiv papers — page 11
Showing 1,001–1,100 of 13,020 papers
Lucia Rinchiuso
The High Energy Spectroscopic System (H.E.S.S.) is pursuing a rich observational program in astroparticle physics. The latest results from H.E.S.S. on the search for dark matter towards the Galactic Center and dwarf galaxies, the test of Lorentz invariance, and the measurement of the cosmic-ray electron spectrum are presented.
Carolin Lawrence, Stefan Riezler
In semantic parsing for question-answering, it is often too expensive to collect gold parses or even gold answers as supervision signals. We propose to convert model outputs into a set of human-understandable statements which allow non-expert users to act as proofreaders, providing error markings as learning signals to the parser. Because model outputs were
Siyu Huang, Zhi-Qi Cheng, Xi Li, Xiao Wu
Inferring universal laws of the environment is an important ability of human intelligence as well as a symbol of general AI. In this paper, we take a step toward this goal such that we introduce a new challenging problem of inferring invariant physical equation from visual scenarios. For instance, teaching a machine to automatically derive the gravitational
Limit of Temporal Resolution in Atomic Force Microscopy: How fast can we image with atomically-engineered tips while preserving picometer range spatial resolution?
physics.app-phOmur E. Dagdeviren
With recent advances in dynamic scanning probe microscopy techniques, it is now a routine to image the sub-molecular structure of molecules with atomically-engineered tips which are prepared via controlled modification of the tip termination and are chemically well-defined. The enhanced spatial resolution is possible as atomically-engineered tips can preserv
Machine Learning on Electronic Health Records: Models and Features Usages to predict Medication Non-Adherence
cs.LGThomas Janssoone, Clémence Bic, Dorra Kanoun, Pierre Hornus
Adherence can be defined as "the extent to which patients take their medications as prescribed by their healthcare providers"[Osterberg and Blaschke, 2005]. World Health Organization's reports point out that, in developed countries, only about 50% of patients with chronic diseases correctly follow their treatments. This severely compromises the e
M. Otten, S. K. Gray, G. V. Kolmakov
Recent proposals and advances in quantum simulations, quantum cryptography and quantum communications substantially rely on quantum entanglement formation. Contrary to the conventional wisdom that dissipation destroys quantum coherence, coupling with a dissipative environment can also generate entanglement. We consider a system composed of two quantum dot qu
Raja Sattiraju, Jacob Kochems, Hans D. Schotten
Short Range wireless devices are becoming more and more popular for ubiquitous sensor and actuator connectivity in industrial communication scenarios. Apart from communication-only scenarios, there are also mission-critical use cases where the distance between the two communicating nodes needs to be determined precisely. Applications such as Automatic Guided
Early Stratification of Patients at Risk for Postoperative Complications after Elective Colectomy
cs.LGWen Wang, Rema Padman, Nirav Shah
Stratifying patients at risk for postoperative complications may facilitate timely and accurate workups and reduce the burden of adverse events on patients and the health system. Currently, a widely-used surgical risk calculator created by the American College of Surgeons, NSQIP, uses 21 preoperative covariates to assess risk of postoperative complications,
Raja Sattiraju, Jasper Siemons, Mohammad Soliman, Wasim Alshrafi
Current radio systems are currently optimized for capacity and range. However, certain applications of wireless systems require fast and reliable communication over short distances. The challenge of these systems is to communicate with a minimum time delay (latency) while at the same time being very reliable and resilient to interference. This paper describe
Victor Churchill, Anne Gelb
In recent investigations, the problem of detecting edges given non-uniform Fourier data was reformulated as a sparse signal recovery problem with an l1-regularized least squares cost function. This result can also be derived by employing a Bayesian formulation. Specifically, reconstruction of an edge map using l1 regularization corresponds to a so-called typ
Mitsugu Hirasaka, Kijung Kim, Ilia Ponomarenko
The main goal of the paper is to establish a sufficient condition for a two-valenced association scheme to be schurian and separable. To this end, an analog of the Desargues theorem is introduced for a noncommutative geometry defined by the scheme in question. It turns out that if the geometry has enough many Desarguesian configurations, then under a technic
Jianqiang Sky Zhou, Lucia Reining, Alessandro Nicolaou, Azzedine Bendounan
Satellites in electronic spectra are pure many-body effects, and their study has been of increasing interest in both experiment and theory. The presence of satellites due to plasmon excitations can be understood with simple models of electron-boson coupling. It is far from obvious how to match such a model to real spectra, where more than one kind of quasi-p
Kathy Vivas, Javier Alonso-García, Mario Mateo, Alistair Walker
A large extension of the Sextans dwarf spheroidal galaxy, 7 sq degrees, has been surveyed for variable stars using the Dark Energy Camera at the Blanco Telescope in Cerro Tololo Inter-American Observatory, Chile. We report 7 Anomalous Cepheids, 199 RR Lyrae stars and 16 dwarf Cepheids in the field. This is only the fifth extra-galactic systems in which dwarf
Evan Eames, Aristide Doussot, Benoît Semelin
With a statistical detection of the 21 cm signal fluctuations from the Epoch of Reionization (EoR) expected in the next few years, there is an interest in developing robust and precise techniques to constrain the underlying astrophysical parameters. Bayesian inference with Markov Chain Monte Carlo, or different types of supervised learning for backward model
Theoretical foundation of detrending methods for fluctuation analysis such as detrended fluctuation analysis and detrending moving average
cond-mat.stat-mechMarc Höll, Ken Kiyono, Holger Kantz
We present a general framework of detrending methods of fluctuation analysis of which detrended fluctuation analysis (DFA) is one prominent example. Another more recently introduced method is detrending moving average (DMA). Both methods are constructed differently but are similarly able to detect long-range correlations as well as anomalous diffusion even i
A new proposal for a quantum theory for isolated n-particle systems with variable masses connected by a field with variable form
quant-phIsrael A. González Medina
We propose a new quantum approach for describing a system of $n$ interacting particles with variable mass connected by an unknown field with variable form ($n$-VMVF systems). Instead of assuming any particular nature for variation of the masses and field, we propose to find them from the laws that rule the dynamic of the systems. In this context, we consider
Samuel Matzek, Max Grossman, Minsik Cho, Anar Yusifov
GPUs have limited memory and it is difficult to train wide and/or deep models that cause the training process to go out of memory. It is shown in this paper how an open source tool called Large Model Support (LMS) can utilize a high bandwidth NVLink connection between CPUs and GPUs to accomplish training of deep convolutional networks. LMS performs tensor sw
Agnes Martine Nielsen, Daniela Witten
Data in the form of graphs, or networks, arise naturally in a number of contexts; examples include social networks and biological networks. We are often faced with the availability of multiple graphs on a single set of nodes. In this article, we propose the multiple random dot product graph model for this setting. Our proposed model leads naturally to an opt
Phonon mode calculations and Raman spectroscopy of the bulk-insulating topological insulator BiSbTeSe$_2$
cond-mat.str-elRaphael German, Evgenia V. Komleva, Philipp Stein, Vladimir G. Mazurenko
The tetradymite compound BiSbTeSe$_2$, is one of the most bulk-insulating three-dimensional topological insulators, which makes it important in the topological insulator research. It is a member of the solid-solution system Bi$_{2-x}$Sb$_x$Te$_{3-y}$Se$_y$, for which the local crystal structure, such as the occupation probabilities of each atomic site, is no
Caius L. Selhorst, Paulo J. A. Simões, Roman Brajša, Adriana Valio
Polar brightening of the Sun at radio frequencies has been studied for almost fifty years and yet a disagreement persists between solar atmospheric models and observations. Some observations reported brightening values much smaller than the expected values obtained from the models, with discrepancies being particularly large at millimeter wavelengths. New cl
Diego Fasoli, Stefano Panzeri
We study the statistical properties of the stationary firing-rate states of a neural network model with quenched disorder. The model has arbitrary size, discrete-time evolution equations and binary firing rates, while the topology and the strength of the synaptic connections are randomly generated from known, generally arbitrary, probability distributions. W
K. Bakowska, T. R. Marsh
We present results of our spectroscopic campaign dedicated to the ultracompact binary ES Ceti. On the nights 2002 Oct. 27-28, 528 spectra were taken with the 6.5-meter telescope in Las Campanas Observatory in Chile. The averaged spectrum shown the double-peaked helium emission lines which imply the presence of an accretion disk in this system.
Haoran Wang, Yue Fan, Zexin Wang, Licheng Jiao
Global average pooling (GAP) allows to localize discriminative information for recognition [40]. While GAP helps the convolution neural network to attend to the most discriminative features of an object, it may suffer if that information is missing e.g. due to camera viewpoint changes. To circumvent this issue, we argue that it is advantageous to attend to t
Robust consumption-investment problem Under CRRA and CARA utilities with time-varying confidence sets
math.OCZongxia Liang, Ming Ma
We consider a robust consumption-investment problem under CRRA and CARA utilities. The time-varying confidence sets are specified by $Θ$, a correspondence from $[0,T]$ to the space of Lévy triplets, and describe priori information about drift, volatility and jump. Under each possible measure, the log-price processes of stocks are semimartingales and the trip
Igor Shalyminov, Sungjin Lee
Neural network-based dialog models often lack robustness to anomalous, out-of-domain (OOD) user input which leads to unexpected dialog behavior and thus considerably limits such models' usage in mission-critical production environments. The problem is especially relevant in the setting of dialog system bootstrapping with limited training data and no acce
Prateek Sharma
Matter on large scales in the Universe is distributed in form of sheets, filaments and spherical halos. Most of the known matter in the Universe is in a diffuse plasma state - in halos around galaxies and clusters of galaxies, and in the intergalactic medium tracing the large scale cosmological filaments. Recent multi-wavelength observations have informed us
Michael Hartisch, Ulf Lorenz
We investigate pruning in search trees of so-called quantified integer linear programs (QIPs). QIPs consist of a set of linear inequalities and a minimax objective function, where some variables are existentially and others are universally quantified. They can be interpreted as two-person zero-sum games between an existential and a universal player on the on
Reminiscence of a magnetization plateau in a magnetization processes of toy-model triangular and tetrahedral clusters
cond-mat.str-elV. N. Glazkov
We discuss magnetization curves of a toy-model trigonal and tetrahedral clusters. Nonlinearity of magnetization with local minimum of differential susceptibility resembling known magnetization plateaus of triangular-lattice and pyrochlore lattice antiferromagnets is observed at intermediate temperature range $ J\lesssim T\lesssimΘ$ (here $J$ is the exchange
Global optimization of expensive black-box models based on asynchronous hybrid-criterion with interval reduction
stat.MLChunlin Gong, Xu Li, Hua Su, Jinlei Guo
In this paper, a new sequential surrogate-based optimization (SSBO) algorithm is developed, which aims to improve the global search ability and local search efficiency for the global optimization of expensive black-box models. The proposed method involves three basic sub-criteria to infill new samples asynchronously to balance the global exploration and loca
Matteo Cozzi, Enrico Valdinoci
As well known, classical catenoids in ${\mathbf{R}}^3$ possess logarithmic growth at infinity. In this note we prove that the case of nonlocal minimal surfaces is significantly different, and indeed all nonlocal catenoids must grow at least linearly. More generally, we prove that stationary sets for the nonlocal perimeter functional which grow sublinearly at
L. Bugnet, R. A. García, G. R. Davies, S. Mathur
The recently launched NASA Transiting Exoplanet Survey Satellite (TESS) mission is going to collect lightcurves for a few hundred million of stars and we expect to increase the number of pulsating stars to analyze compared to the few thousand stars observed by the CoRoT, $\textit{Kepler}$ and K2 missions. However, most of the TESS targets have not yet been p
Xiaohua Wang, Muzi Peng, Lijuan Pan, Min Hu
Compared with facial emotion recognition on categorical model, the dimensional emotion recognition can describe numerous emotions of the real world more accurately. Most prior works of dimensional emotion estimation only considered laboratory data and used video, speech or other multi-modal features. The effect of these methods applied on static images in th
Byungjoon Min, Maxi San Miguel
We study a coevolving nonlinear voter model on a two-layer network. Coevolution stands for coupled dynamics of the state of the nodes and of the topology of the network in each layer. The plasticity parameter p measures the relative time scale of the evolution of the states of the nodes and the evolution of the network by link rewiring. Nonlinearity of the i
A. Muñoz de las Heras, M. M. Parish, F. M. Marchetti
We study the early-time dynamics of a degenerate Bose gas after a sudden quench of the interaction strength, starting from a weakly interacting gas. By making use of a time-dependent generalization of the Nozières-Saint-James variational formalism, we describe the crossover of the early-time dynamics from shallow to deep interaction quenches. We analyze the
The energy distribution of an ion in a radiofrequency trap interacting with a nonuniform neutral buffer gas
physics.atom-phI. Rouse, S. Willitsch
An ion in a radiofrequency (rf) trap sympathetically cooled by a simultaneously trapped neutral buffer gas exhibits deviations from thermal statistics caused by collision-induced coupling of the rf field to the ion motion. For a uniform density distribution of the buffer gas, the energy distribution of the ion can be described by Tsallis statistics. Moreover
Lei Chang, Xinyue Hu
A novel radio-frequency antenna consisting of isolated solenoids is reported to generate plasma for pressure up to thousands of pascals. The underlying mechanism involves capacitive coupling, inductive coupling and axial confinement from magnetic mirrors. It can ionize the air reliably with pressure up to $2500$~Pa for the $1$~kW-$13.56$~MHz power supply emp
Swayamtrupta Panda, Katarzyna Małek, Marzena Śniegowska, Bożena Czerny
The work initially started as a test to retrace the Shen & Ho (2014) Quasar Main Sequence diagram where they claimed that the parameter RFeII, which defines the Eigenvector 1 (EV1) is driven by the Eddington ratio alone. We subsequently construct a refined (error and redshift limited) sample from the original Shen et al. 2011 QSO catalogue. Based on our hypo
Evidence of Interfacial Topological Superconductivity on the Topological Semimetal Tungsten Carbide Induced by Metal Deposition
cond-mat.supr-conW. L. Zhu, X. Y. Hou, J. Li, Y. F. Huang
Interfaces between materials with different electronic ground states have become powerful platforms for creating and controlling novel quantum states of matter, in which inversion symmetry breaking and other effects at the interface may introduce additional electronic states. Among the emergent phenomena, superconductivity is of particular interest. In this
H. Weigel
We cautiously review the treatment of pentaquark exotic baryons in chiral soliton models. We consider two examples and argue that any consistent and self-contained description must go beyond the mean field approximation that only considers the classical soliton and the canonical quantization of its (would-be) zero modes via collective coordinates.
Parameswaran Sankaran
The vector field problem is an important and classical problem in differential topology. In this survey we shall consider the vector field problem focusing mainly on the class of compact homogeneous spaces.
Obulkasim Olugh, Zi-Liang Li, Bai-Song Xie, Reinhard Alkofer
Electron-positron pair production in strong electric fields, i.e., the Sauter-Schwinger effect, is studied using the real-time Dirac-Heisenberg-Wigner formalism. Hereby, the electric field is modeled to be a homogeneous, single-pulse field with subcritical peak field strength. Momentum spectra are calculated for four different polarizations - linear, ellipti
Lei Chang, Tianping Zhang, Xinyue Hu, Xianming Wu
A two-fluid flowing plasma model is applied to describe the plasma rotation and resulted instability evolution in magnetically enhanced vacuum arc thruster (MEVAT). Typical experimental parameters are employed, including plasma density, equilibrium magnetic field, ion and electron temperatures, cathode materials, axial streaming velocity, and azimuthal rotat
Dimension six effective operators in $t$-channel single top production and decay at NLO in QCD
hep-phMarc de Beurs
I summarize phenomenological LHC13 studies of the effect of dimension six effective operators on the inclusive cross section and differential distributions for the t-channel single top process at NLO in QCD.
Marta Sewiło, Barbara A. Whitney, Bosco H. K. Yung, Thomas P. Robitaille
We study a very young star-forming region in the outer Galaxy that is the most concentrated source of outflows in the Spitzer Space Telescope GLIMPSE360 survey. This region, dubbed CMa-l224, is located in the Canis Major OB1 association. CMa-l224 is relatively faint in the mid-infrared, but it shines brightly at the far-infrared wavelengths as revealed by th
F. D. M. Haldane
A purely Fermi-surface formula is proposed for the Ohmic "minimum metallic conductivity" tensor of clean metals with "Planckian limit" inelastic dissipation. This revises a recent proposal by Legros et al.
Karinne Attali, Nissan Itzhaki
Recently it was shown that folded strings are spontaneously created behind the horizon of the $SL(2,\mathbb{R})_k/U(1)$ black hole. Here we show that these folded strings violate the averaged null energy condition {\it macroscopically}. We discuss possible consequences of this observation on black hole physics in general, and on the information puzzle in par
Frank R. N. Chambers, Anna L. Watts, L. Keek, Yuri Cavecchi
Accreting neutron stars (NS) can exhibit high-frequency modulations, known as burst oscillations, in their lightcurves during thermonuclear X-ray bursts. Their frequencies can be offset from the spin frequency of the NS (known independently) by several Hz, and can drift by 1-3 Hz. One plausible explanation for this phenomenon is that a wave is present in the
I. Luk'yanchuk, Y. Tikhonov, A. Sene, A. Razumnaya
The pressing quest for overcoming Boltzmann tyranny in low-power nanoscale electronics revived the thoughts of engineers of early 1930-s on the possibility of negative circuit constants. The concept of the ferroelectric-based negative capacitance (NC) devices triggered explosive activity in the field. However, most of the research addressed transient NC, lea
Lei Chang
Although it is well recognized that waves propagating in periodic media have forbidden gaps in the continuous spectrum, it is still yet unknown about the minimum number and depth of periodic modulations for clear spectral formation. This limit is explored by investigating shear Alfvén waves propagating through magnetic mirror array in a low temperature plasm
Achim Harzheim, Jean Spiece, Charalambos Evangeli, Edward McCann
The influence of nanostructuring and quantum confinement on the thermoelectric properties of materials has been extensively studied. While this has made possible multiple breakthroughs in the achievable figure of merit, classical confinement, and its effect on the local Seebeck coefficient has mostly been neglected, as has the Peltier effect in general due t
Magnetocrystalline Anisotropy of Fe-based $L1_0$ Alloys: Validity of Approximate Methods to Treat the Spin-Orbit Interaction
cond-mat.mtrl-sciM. Blanco-Rey, J. I. Cerda, A. Arnau
First-principles calculations are used to gauge different levels of approximation to calculate the magnetocrystalline anisotropy energies (MAE) of five $L1_0$ FeMe alloys (Me=Co, Cu, Pd, Pt, Au). We find that a second-order perturbation (2PT) treatment of the spin-orbit interaction (SOI) breaks down for the alloys containing heavier ions, while it provides a
Felix Rath, Daniel Schemmel, Klaus Wehrle
The main reason for the standardization of network protocols, like QUIC, is to ensure interoperability between implementations, which poses a challenging task. Manual tests are currently used to test the different existing implementations for interoperability, but given the complex nature of network protocols, it is hard to cover all possible edge cases. Sta
Hee Sok Chung
Production cross sections of heavy quarkonia are considered as useful tools to study various aspects of QCD. We have entered a new era of quarkonium production phenomenology, with the help of new measurements from the LHC giving access to more varieties of observables, and recent theoretical developments that provided us a better understanding of the short-d
Poincare polynomial for the moduli space $\overline{{\mathcal M}_{0,n}}({\mathbb C})$ and the number of points in $\overline{{\mathcal M}_{0,n}}({\mathbb F}_q)$
math.AGN. Amburg, E. Kreines, G. Shabat
We obtain a combinatorial proof that the number of points of the space $\overline{{\mathcal M}_{0,n}}({\mathbb F}_q)$ satisfies the recurrent formula for Poincare polynomials of the space $\overline{{\mathcal M}_{0,n}}({\mathbb C})$.
Lei Chang
Characterizing the gap eigenmode of shear Alfvén waves (SAW) and its interaction with energetic ions is important to the success of magnetically confined fusion. Previous studies have reported an experimental observation of the spectral gap of SAW on LAPD (Zhang et al 2008 Phys. Plasmas 15 012103), a linear large plasma device (Gekelman et al 1991 Rev. Sci.
David Krejcirik, Gian Paolo Leonardi, Petr Vlachopulos
We compute the Cheeger constant of spherical shells and tubular neighbourhoods of complete curves in an arbitrary dimensional Euclidean space.
Ben-Wei Zhang, Guo-Yang Ma, Wei Dai, Sa Wang
When an energetic parton traversing the QCD medium, it may suffer multiple scatterings and lose energy. This jet quenching phenomenon may lead to the suppression of leading hadron productions as well as medium modifications of full jet observables in heavy-ion collisions. In this talk we discuss the nuclear modification factors and yield ratios of identified
Patrick Krauss, Karin Prebeck, Achim Schilling, Claus Metzner
Stochastic resonance is a non-linear phenomenon, in which the sensitivity of signal detectors can be enhanced by adding random noise to the detector input. Here, we demonstrate that noise can also improve the information flux in recurrent neural networks. In particular, we show for the case of three-neuron motifs that the mutual information between successiv
A. S. Kutsenko, V. I. Abramenko, A. A. Pevtsov
We use observations of line-of-sight magnetograms from Helioseismic and Magnetic Imager (HMI) on board of Solar Dynamics Observatory (SDO) to investigate polarity separation, magnetic flux, flux emergence rate, twist and tilt of solar emerging active regions. Functional dependence of polarity separation and maximum magnetic flux of an active region is in agr
Sagar T. Sutar, Kishor D. Kucche
We consider a class of nonlinear fractional Volterra integrodifferential equation with fractional integrable impulses and investigate the existence and uniqueness results in the Bielecki's normed Banach spaces. Further, Bielecki--Ulam type stabilities have been demonstrated on a compact interval. A concrete example is provided to illustrate the outcomes
Igor Bychkov, Andrey Demichev, Julia Dubenskaya, Oleg Fedorov
Modern large-scale astroparticle setups measure high-energy particles, gamma rays, neutrinos, radio waves, and the recently discovered gravitational waves. Ongoing and future experiments are located worldwide. The data acquired have different formats, storage concepts, and publication policies. Such differences are a crucial point in the era of Big Data and
Guy Bouchitté, Giuseppe Buttazzo, Thierry Champion, Luigi De Pascale
In the framework of Density Functional Theory with Strongly Correlated Electrons we consider the so called bond dissociating limit for the energy of an aggregate of atoms. We show that the multi-marginals optimal transport cost with Coulombian electron-electron repulsion may correctly describe the dissociation effect. The variational limit is completely calc
Simon Arridge, Andreas Hauptmann
A multitude of imaging and vision tasks have seen recently a major transformation by deep learning methods and in particular by the application of convolutional neural networks. These methods achieve impressive results, even for applications where it is not apparent that convolutions are suited to capture the underlying physics. In this work we develop a net
Shaohan Feng, Dusit Niyato, Ping Wang, Dong In Kim
For the sake of protecting data privacy and due to the rapid development of mobile devices, e.g., powerful central processing unit (CPU) and nascent neural processing unit (NPU), collaborative machine learning on mobile devices, e.g., federated learning, has been envisioned as a new AI approach with broad application prospects. However, the learning process
Fernando Fernandes Neto, Alemayehu Admasu Solomon, Rodrigo de Losso, Claudio Garcia
The aim of this paper is to discuss the use of Haar scattering networks, which is a very simple architecture that naturally supports a large number of stacked layers, yet with very few parameters, in a relatively broad set of pattern recognition problems, including regression and classification tasks. This architecture, basically, consists of stacking convol
Michael F. Sterzik, Stefano Bagnulo, Daphne M. Stam, Claudia Emde
We present a comprehensive set of spectropolarimetric observations of Earthshine as obtained by FORS2 at the VLT for phase angles from 50degree to 135degree (Sun-Earth-Moon angle), covering a spectral range from 430nm to 920nm. The degree of polarization in BVRI passbands, the differential polarization vegetation index, and the equivalent width of the O2A po
Julien Baglio, Le Duc Ninh
WZ production is an important process at the LHC because it probes the non-Abelian structureof electroweak interactions and it is a background process for many new physics searches. In the quest for new physics, polarization observables of the W and Z bosons can play an important role. They can be extracted from measurements and can be calculated using the S
Lei Chang, Xinyue Hu, Lei Gao, Wei Chen
Large volume helicon plasma sources are of particular interest for large scale semiconductor processing, high power plasma propulsion and recently plasma-material interaction under fusion conditions. This work is devoted to studying the coupling of four typical RF antennas to helicon plasma with infinite length and diameter of $0.5$~m, and exploring its freq
Yusuf Ilker Yaman, Esin Demir, Roman Vetter, Askin Kocabas
Growing tissue and bacterial colonies are active matter systems where cell divisions and cellular motion generate active stress. Although they operate in the non-equilibrium regime, these biological systems can form large-scale ordered structures such as nematically aligned cells, topological defects, and fingerings. Mechanical instabilities also play an ess
Ruslan Zhachuk, José Coutinho, Krisztián Palotás
We report on the investigation of the atomic and electronic structures of a clean Si(331)-(12$\times$1) surface using a first-principles approach with both plane wave and strictly localized basis sets. Starting from the surface structure proposed by Zhachuk and Teys [Phys. Rev. B 95, 041412(R) (2017)], we develop significant improvements to the atomic model
Marialaura Noce, Gareth M. Tracey, Gunnar Traustason
We give an example of a locally nilpotent group $G$ containing a left $3$-Engel element $x$ where $\langle x\rangle^{G}$ is not nilpotent.
Isabell Piantschitsch, Bojan Vrsnak, Arnold Hanslmeier, Birgit Lemmerer
We developed a new numerical code that is able to perform 2.5D simulations of a magnetohydrodynamic (MHD) wave propagation in the corona, and its interaction with a low density region, such as a coronal hole (CH). We show that the impact of the wave on the CH leads to different effects, such as reflection and transmission of the incoming wave, stationary fea
Electric-field modulation of linear dichroism and Faraday rotation in few-layer phosphorene
cond-mat.mes-hallL. L. Li, B. Partoens, W. Xu, F. M. Peeters
Electro-optical modulators, which use an electric voltage (or an electric field) to modulate a beam of light, are essential elements in present-day telecommunication devices. Using a self-consistent tight-binding approach combined with the standard Kubo formula, we show that the optical conductivity and the linear dichroism of few-layer phosphorene can be mo
Plasmon-phonon coupling in a valley-spin-polarized two-dimensional electron system: a theoretical study on monolayer silicene
cond-mat.mes-hallM. Mirzaei, T. Vazifehshenas, T. Salavati-fard, M. Farmanbar
We study the hybrid excitations due to the coupling between surface optical phonons of a polar insulator substrate and plasmons in the valley-spin-polarized metal phase of silicene under an exchange field. We perform the calculations within the generalized random-phase approximation where the plasmon-phonon coupling is taken into account by the long-range Fr
Jason Lee, Inkyu Park, Sangnam Park
Recently machine learning algorithms based on deep layered artificial neural networks (DNNs) have been applied to a wide variety of high energy physics problems such as jet tagging or event classification. We explore a simple but effective preprocessing step which transforms each real-valued observational quantity or input feature into a binary number with a
Satoshi Terai, Koichi Wada, Yoshiaki Katayama
We study the Gathering problem for n autonomous mobile robots in semi-synchronous settings with persistent memory called light. It is well known that Gathering is impossible in a basic model when robots have no lights, if the system is semi-synchronous or even centralized (only one robot is active in each time). On the other hand, Rendezvous (Gathering when
Stephan von Malottki, Pavel F. Bessarab, Soumyajyoti Haldar, Anna Delin
We show that thermal stability of magnetic skyrmions can be strongly affected by entropic effects. The lifetimes of isolated skyrmions in atomic Pd/Fe bilayers on Ir(111) and on Rh(111) are calculated in the framework of harmonic transition state theory based on an atomistic spin model parametrized from density functional theory. Depending on the system the
Lei Chang
To guide the experimental design of a linear plasma device for studying the interaction between energetic ions and Alfvénic gap eigenmode (AGE), this work computes AGE referring to fusion conditions in a ultra-long large plasma cylinder ended with strong magnetic throats for axial confinement of charged particles. It is shown that: (i) for uniform equilibriu
Raja Sattiraju, Andreas Weinand, Hans D. Schotten
Channel Coding has been one of the central disciplines driving the success stories of current generation LTE systems and beyond. In particular, turbo codes are mostly used for cellular and other applications where a reliable data transfer is required for latency-constrained communication in the presence of data-corrupting noise. However, the decoding algorit
Teodor M. Atanacković, Ljubica Oparnica, Dušan Zorica
Static stability problem for axially compressed rotating nano-rod clamped at one and free at the other end is analyzed by the use of bifurcation theory. It is obtained that the pitchfork bifurcation may be either super- or sub-critical. Considering the imperfections in rod's shape and loading, it is proved that they constitute the two-parameter universal
Samuel Ogunjo, Joseph Dada, Sunday Oluyamo, Ibiyinka Fuwape
Satellite communication systems suffer from the systematic error of tropospheric delay. Accurate estimation of this delay is essential for communication budget and planning. This study investigates the tropospheric delay in three Nigeria cities: Abuja, Lagos, Port-Harcourt using two different models (Saastominen and Hopfield). Three year atmospheric data for
Claudio Arezzo, Karen Corrales
In this paper we prove existence and uniqueness of a CMC foliation in asymptotically cuspidal manifolds. Moreover, we study the isoperimetric problem in this case. Our proof does not require any curvature assumption and it holds for any dimension.
Aleksei Panov
We discuss three rainbow theories created by Descartes, Newton and Young. The note is written primary for school students.
Nina Rohringer
This contribution summarises the theoretical basics for the theory of x-ray matter interaction and is based on a quantised description of the electromagnetic field. In view of a formally transparent presentation, we adopt the approach of second quantisation for the electronic degrees of freedom. We start out from the minimal coupling Hamiltonian that in prin
Ippei Obata, Tomohiro Fujita, Yuta Michimura
We suggest a novel experimental method to search for axion dark matter with an optical ring cavity. Our cavity measures the difference of the resonant frequencies between two circular-polarizations of the laser beam. Its technical design adopts double-pass configuration to realize a null experiment and reject environmental common-mode noises. We reveal that
Valdemar V. Tsanov
The ring of invariant polynomials ${\mathbb C}[V]^G$ over a given finite dimensional representation space $V$ of a complex reductive group $G$ is known, by a famous theorem of Hilbert, to be finitely generated. The general proof being nonconstructive, the generators and their degrees have remained a subject of interest. In this article we determine certain d
Ikkei Hotta, Sebastian Schleißinger
In this note we discuss some problems related to conformal slit-mappings. On the one hand, classical Loewner theory leads us to questions concerning the embedding of univalent functions into slit-like Loewner chains. On the other hand, a recent result from monotone probability theory motivates the study of univalent functions from a probabilistic perspective
David Charte, Francisco Charte, Salvador García, Francisco Herrera
Machine learning is a field which studies how machines can alter and adapt their behavior, improving their actions according to the information they are given. This field is subdivided into multiple areas, among which the best known are supervised learning (e.g. classification and regression) and unsupervised learning (e.g. clustering and association rules).
F. E. Burstall
We characterise the canonical elements, in the sense of Burstall--Rawnsley \cite{BurRaw90}, of a compact semisimple Lie algebra and discuss the case of $\mathfrak{so}(n)$ in detail. In so doing, we correct two errors in Burstall et al. \cite{BurEscFerTri04}.
Iñigo Alonso, Ana C. Murillo
Event cameras, or Dynamic Vision Sensor (DVS), are very promising sensors which have shown several advantages over frame based cameras. However, most recent work on real applications of these cameras is focused on 3D reconstruction and 6-DOF camera tracking. Deep learning based approaches, which are leading the state-of-the-art in visual recognition tasks, c
Takashi Tsukagoshi, Munetake Momose, Yoshimi Kitamura, Masao Saito
We report $0.14"$ resolution observations of the dust continuum at band 7, and the CO(3--2) and HCO$^{+}$(4--3) line emissions toward the transitional disk around Sz 91 with Atacama Large Millimeter/submillimeter Array (ALMA). The dust disk appears to be an axisymmetric ring, peaking a radius of $\sim$95~au from a Gaussian fit. The Gaussian fit widths of
Antoni Szczurek
We discuss some new aspects of charm production trigerred by recent observations of the LHCb collaboration. The LHCb collaboration measured small asymmetries in production of $D^+ D^-$ mesons as well as $D_s^+ D_s^-$ mesons. Is this related to initial quark/antiquark asymmetries in the proton ? Here we discuss a scenario in which unfavored fragmentations $q/
Jeff J. Andrews, Borja Anguiano, Julio Chanamé, Marcel A. Agüeros
Stars of a common origin are thought to have similar, if not nearly identical, chemistry. Chemical tagging seeks to exploit this fact to identify Milky Way subpopulations through their unique chemical fingerprints. In this work, we compare the chemical abundances of dwarf stars in wide binaries to test the abundance consistency of stars of a common origin. O
Xin Lu, Buyu Li, Yuxin Yue, Quanquan Li
This paper proposes a novel object detection framework named Grid R-CNN, which adopts a grid guided localization mechanism for accurate object detection. Different from the traditional regression based methods, the Grid R-CNN captures the spatial information explicitly and enjoys the position sensitive property of fully convolutional architecture. Instead of
Application of an extended van der Pauw method to anisotropic magnetoresistance measurements of ferromagnetic films
cond-mat.mtrl-sciMovaffaq Kateb, Egill Jacobsen, Snorri Ingvarsson
We demonstrate anisotropic resistivity measurements using the extended van der Pauw (vdP) method in ferromagnetic Ni80Fe20 (Py) films. We apply it to measure anisotropic magnetoresistance (AMR) and compare the results of the vdP method with the more conventional Hall-bar method along the hard and easy axis of the film and show that the vdP method gives more
Hiromasa Kitai, Jason Paul Cruz, Naoto Yanai, Naohisa Nishida
A privacy-preserving framework in which a computational resource provider receives encrypted data from a client and returns prediction results without decrypting the data, i.e., oblivious neural network or encrypted prediction, has been studied in machine learning that provides prediction services. In this work, we present MOBIUS (Model-Oblivious BInary neUr
Elena Pierro, Francesco Bottiglione, Giuseppe Carbone
We discuss the Brownian thermal noise which affects the cantilever dynamics of a dAFM (dynamic atomic force microscope), both when it works in air and in presence of water. Our scope is to accurately describe the cantilever dynamics, and to get this result we deeply investigate the relationship between the cantilever thermal fluctuations and its interactions
Atefeh Javadi, Jacco Th. van Loon
The evolution of galaxies is driven by the birth and death of stars. AGB stars are at the end points of their evolution and therefore their luminosities directly reflect their birth mass; this enables us to reconstruct the star formation history. These cool stars also produce dust grains that play an important role in the temperature regulation of the inters
Guoqi Li, Xumin Chen, Pei Tang, Gaoxi Xiao
Target control of directed networks, which aims to control only a target subset instead of the entire set of nodes in large natural and technological networks, is an outstanding challenge faced in various real world applications. We address one fundamental issue regarding this challenge, i.e., for a given target subset, how to allocate a minimum number of co
Comparison of cuprates and nuclear matter pairing properties. Quartet (alpha-particle) condensation in nuclear systems
nucl-thP. Schuck
A comparison of pairing properties in cuprates and nuclear matter is briefly discussed. Quartet (alpha-particle) condensation is a very important aspect of nuclear physics. The physics of the Hoyle state in 12 C will be outlined and its crucial role for the existence of life on earth explained.