cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Speeding up low-mass planetary microlensing simulations and modelling: the Caustic Region Of INfluence
Creators: name: Penny, Matthew T.
Publisher: name: arXiv
Year: 2013
Subjects: subject: Earth and Planetary Astrophysics (astro-ph.EP)
subject: FOS: Physical sciences

description: Extensive simulations of planetary microlensing are necessary both before and after a survey is conducted: before to design and optimize the survey and after to understand its detection efficiency. The major bottleneck in such computations is the computation of lightcurves. However, for low-mass planets most of these computations are wasteful, as most lightcurves do not contain detectable planetary signatures. In this paper I develop a parameterization of the binary microlens that is conducive to avoiding lightcurve computations. I empirically find analytic expressions describing the limits of the parameter space that contain the vast majority of low-mass planet detections. Through a large scale simulation I measure the (in)completeness of the parameterization and the speed-up it is possible to achieve. For Earth-mass planets in a wide range of orbits it is possible to speed up simulations by a factor of ${\sim} 30$-$125$ (depending on the survey's annual duty-cycle) at the cost of missing ${\sim} 1$ percent of detections (which is actually a smaller loss than for the arbitrary parameter limits typically applied in microlensing simulations). The benefits of the parameterization probably outweigh the costs for planets below $100M_{\oplus}$. For planets at the sensitivity limit of AFTA-WFIRST, simulation speed-ups of a factor ${\sim} 1000$ or more are possible.
description: 9 pages, 8 figures, 3 tables
Statistics for p-ranks of Artin-Schreier covers
Creators: name: Ray, Anwesh
Publisher: name: arXiv
Year: 2021
Subjects: subject: Number Theory (math.NT)
subject: Algebraic Geometry (math.AG)
subject: FOS: Mathematics
subject: 11G20, 11T06, 11T55 (Primary) 14G17, 14H25 (Secondary)

description: Given a prime $p$ and $q$ a power of $p$, we study the statistics of $p$-ranks of Artin--Schreier covers of given genus defined over $\mathbb{F}_q$, in the large $q$-limit. We refer to this problem as the geometric problem. We also study an arithmetic variation of this problem, and consider Artin--Schreier covers defined over $\mathbb{F}_p$, letting $p$ go to infinity. Distribution of $p$-ranks has been previously studied for Artin--Schreier covers over a fixed finite field as the genus is allowed to go to infinity. The method requires that we count isomorphism classes of covers that are unramified at $\infty$.
Beloniformes
Creators: name: Cohen, Simone C.
name: Kohn, Anna
Publisher: name: Zenodo
Year: 2008
Subjects: Biodiversity
Taxonomy
Animalia
Chordata
Actinopterygii
Beloniformes

description: Order Beloniformes  Family Belonidae
 Strongylura marina
 Allopyragraphorus marina (VE) Tylosurus acus acus (= Tylosurus acus) Chlamydaxine sp. (BR) Nudaciraxine sp. (BR)
description: Published as part of Cohen, Simone C. & Kohn, Anna, 2008, South American Monogenea — list of species, hosts and geographical distribution from 1997 to 2008, pp. 1-42 in Zootaxa 1924 on page 24, DOI: 10.5281/zenodo.184771
Quantum Fingerprinting with Coherent States and a Constant Mean Number of Photons
Creators: name: Arrazola, Juan Miguel
name: Lütkenhaus, Norbert
Publisher: name: arXiv
Year: 2013
Subjects: subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: We present a protocol for quantum fingerprinting that is ready to be implemented with current technology and is robust to experimental errors. The basis of our scheme is an implementation of the signal states in terms of a coherent state in a superposition of time-bin modes. Experimentally, this requires only the ability to prepare coherent states of low amplitude, and to interfere them in a balanced beam splitter. The states used in the protocol are arbitrarily close in trace distance to states of $\mathcal{O}(\log_2 n)$ qubits, thus exhibiting an exponential separation in communication complexity compared to the classical case. The protocol uses a number of optical modes that is proportional to the size $n$ of the input bit-strings, but a total mean photon number that is constant and independent of $n$. Given the expended resources, our protocol achieves a task that is provably impossible using classical communication only. In fact, even in the presence of realistic experimental errors and loss, we show that there exist a large range of input sizes for which our quantum protocol requires communication that can be more than two orders of magnitude smaller than a classical fingerprinting protocol.
description: 5 pages, 2 Figures
Distributed Task Management in Fog Computing: A Socially Concave Bandit Game
Creators: name: Cheng, Xiaotong
name: Maghsudi, Setareh
Publisher: name: arXiv
Year: 2022
Subjects: subject: Multiagent Systems (cs.MA)
subject: Computer Science and Game Theory (cs.GT)
subject: Machine Learning (cs.LG)
subject: FOS: Computer and information sciences

description: Fog computing leverages the task offloading capabilities at the network's edge to improve efficiency and enable swift responses to application demands. However, the design of task allocation strategies in a fog computing network is still challenging because of the heterogeneity of fog nodes and uncertainties in system dynamics. We formulate the distributed task allocation problem as a social-concave game with bandit feedback and show that the game has a unique Nash equilibrium, which is implementable using no-regret learning strategies (regret with sublinear growth). We then develop two no-regret online decision-making strategies. One strategy, namely bandit gradient ascent with momentum, is an online convex optimization algorithm with bandit feedback. The other strategy, Lipschitz bandit with initialization, is an EXP3 multi-armed bandit algorithm. We establish regret bounds for both strategies and analyze their convergence characteristics. Moreover, we compare the proposed strategies with an allocation strategy named learning with linear rewards. Theoretical- and numerical analysis shows the superior performance of the proposed strategies for efficient task allocation compared to the state-of-the-art methods.
Electronic effects in high-energy radiation damage in iron
Creators: name: Zarkadoula, Eva
name: Daraszewicz, Szymon
name: Duffy, Dorothy M.
name: Seaton, Michael
name: Todorov, Ilian T.
name: Nordlund, Kai
name: Dove, Martin T.
name: Trachenko, Kostya
Publisher: name: arXiv
Year: 2013
Subjects: subject: Materials Science (cond-mat.mtrl-sci)
subject: FOS: Physical sciences

description: Electronic effects are believed to be important in high--energy radiation damage processes where high electronic temperature is expected, yet their effects are not currently understood. Here, we perform molecular dynamics simulations of high-energy collision cascades in $α$-iron using the coupled two-temperature molecular dynamics (2T-MD) model that incorporates both effects of electronic stopping and electron-ion interaction. We subsequently compare it with the model employing the electronic stopping only, and find several interesting novel insights. The 2T-MD results in both decreased damage production in the thermal spike and faster relaxation of the damage at short times. Notably, the 2T-MD model gives a similar amount of the final damage at longer times, which we interpret to be the result of two competing effects: smaller amount of short-time damage and shorter time available for damage recovery.
description: 8 pages, 6 figures
Structure-function relationships and extended critical region in modular spiking model
Creators: name: Angiolelli, Marianna
name: Scarpetta, Silvia
name: Sorrentino, Pierpaolo
name: Troisi Lopez, Emahnuel
name: Quarantelli, Mario
name: Granata, Carmine
name: Sorrentino, Giuseppe
name: Palmieri, Vincenzo
name: Messuti, Giovanni
name: Stefano, Mattia
name: Filippi, Simonetta
name: Cherubini, Christian
name: Loppini, Alessandro
name: Chiodo, Letizia
Publisher: name: G-Node
Year: 2024
Subjects: Computational Neuroscience
Learning, plasticity and memory

description: Bernstein Conference 2024 abstract. https://bernstein-conference.de
title: Die nördlichen Badener Keramikstile im Kontext des mitteleuropäischen Spätneolithikums (3650 - 2900 v. Chr.)
Creators: name: Furholt, Martin
Publisher: name: University Library Heidelberg
Year: 2013

description: Aufbauend auf eine Materialaufnahme in Mähren, Oberschlesien und Kleinpolen wurde mittels multivariater Statistik und naturwissenschaftlicher Datierungen eine zeitlich-räumliche Ordnung der Badener Gefäßkeramik durchgeführt, die als Grundlage kulturhistorischer Untersuchungen zu kulturellen Räumen und Grenzen und ihrer zeitlichen Entwicklung diente.
description: Based on a record of Moravian, Upper Silesian and Lesser Polish material a temporal and spatial sequence of Baden Culture Pottery is established through multivariate statistics and scientifi c dating. That sequence provides the basis for an investigation on cultural borders and territories in their temporal development.
Selected strong decay modes of Y(4260)
Creators: name: Dong, Yubing
name: Faessler, Amand
name: Gutsche, Thomas
name: Lyubovitskij, Valery E.
Publisher: name: arXiv
Year: 2013
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: FOS: Physical sciences

description: In present work the Y(4260) resonance is considered as a weakly bound state of a pseudoscalar D and an axial D1 charm meson. We consider the two-body decay Y(4260) -> Zc(3900) + pi where Zc(3900) is treated as hadron molecule as well. Moreover we compute the Y(4260) decay modes J/psi pi(+) pi(-), recently observed by the BESIII Collaboration, and psi(2S) pi(+) pi(-). In the last process both the contact diagram with D D1 -> psi(nS) pi(+) pi(-) and the resonance diagram with D D1 -> Zc(3900) + pi -> psi(nS) pi(+) pi(-) are taken into account.
description: 11 pages
On the Stability of a Wormhole in the Maximally-Extended Reissner-Nordström Solution
Creators: name: DeMott, Ross
name: Major, Sam
name: Flournoy, Alex
Publisher: name: arXiv
Year: 2022
Subjects: subject: General Relativity and Quantum Cosmology (gr-qc)
subject: FOS: Physical sciences

description: We consider the stability of the maximally-extended Reissner-Nordström solution in a Minkowski, de Sitter, or anti-de Sitter background. In a broad class of situations, prior work has shown that spherically symmetric perturbations from a massless scalar field cause the inner horizon of an RN black hole to become singular and collapse. Even if this is the case, it may still be possible for an observer to travel through the inner horizon before it fully collapses, thus violating strong cosmic censorship. In this work, we show that the collapse of the inner horizon and the occurrence of a singularity along the inner horizon are sufficient to prevent an observer from accessing the white hole regions and the parallel universe regions of the maximally extended RN space-time. Thus, if an observer passes through the inner horizon, they will inevitably hit the central singularity. Throughout this article, we use natural units where c = G = 4 π ε_0 = 1.
Characiformes
Creators: name: Cohen, Simone C.
name: Kohn, Anna
Publisher: name: Zenodo
Year: 2008
Subjects: Biodiversity
Taxonomy
Animalia
Chordata
Actinopterygii
Characiformes

description: Order Characiformes  Family Anostomidae
 Leporinus friderici
 Kritskyia eirasi (BR)
 Leporinus lacustris
 Kritskyia eirasi (BR)
 Leporinus obtusidens
 Urocleidoides paradoxus (AR) Family Characidae
 Astyanax fasciatus
 Palombitrema heteroancistrium (AR)
 Brycon cephalus
 Annulotrematoides bryconi (BR) Brycon sp.
 Rhinoxenus anaclaudiae (BR) Colossoma macropomum
 Anacanthorus spathulatus (VE)
 Linguadactyloides brinkmanni (VE)
 Mymarothecium boegeri (BR)
 Notozothecium janauachensis (BR)
 Colossoma macropomum x Piaractus brachypomus
 Anacanthorus spathulatus (VE)
 Piaractus brachypomus (= Colossoma brachypomum)
 Mymarothecium viatorum (BR) Piaractus mesopotamicus
 Mymarothecium viatorum (BR) Pygocentrus nattereri
 Rhinoxenus piranhus (FG) Serrasalmus marginatus
 Kritskyia annakohnae (BR)
 Rhinoxenus euryxenus (BR) Serrasalmus rhombeus
 Amphithecium diclonophallum (BO)
 Anacanthorus amazonicus (BO)
 Anacanthorus gravihamulatus (BO)
 Anacanthorus jegui (BO)
 Anacanthorus rondonensis (BO)
 Anacanthorus sciponophallus (BO)
 Enallothecium aegidatum (BO)
 Mymarothecium galeolum (BO)
 Notothecium deleastoideum (BO)
 Notothecium deleastum (BO)
 Notozothecium teinodendrum (BO)
 Serrasalmus spilopleura
 Kritskyia annakohnae (BR)
 Rhinoxenus piranhus (FG) Triportheus nematurus
 Rhinoxenus anaclaudiae (BR) Triportheus sp.
 Rhinoxenus anaclaudiae (BR) Family Curimatidae
 Curimata cyprinoides
 Rhinoxenus guianensis (FG)
Family Cynodontidae
 Rhaphiodon vulpinus
 Notozothecium lamotheargumedoi (BR)
Family Prochilodontidae
 Prochilodus lineatus
 Kritskyia boegeri (BR)
 Protorhinoxenus prochilodi (BR)
 Rhinoxenus curimbatae (BR)
 Tereancistrum curimba (BR)
 Tereancistrum toksonum (BR)
description: Published as part of Cohen, Simone C. & Kohn, Anna, 2008, South American Monogenea — list of species, hosts and geographical distribution from 1997 to 2008, pp. 1-42 in Zootaxa 1924 on pages 25-26, DOI: 10.5281/zenodo.184771
Cubic ferromagnet and emergent $U(1)$ symmetry on its phase boundary
Creators: name: Tu, Wei-Lin
name: Lyu, Xinliang
name: Ghazanfari, S. R.
name: Wu, Huan-Kuang
name: Lee, Hyun-Yong
name: Kawashima, Naoki
Publisher: name: arXiv
Year: 2022
Subjects: subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: Materials Science (cond-mat.mtrl-sci)
subject: FOS: Physical sciences

description: We study the simplest quantum lattice spin model for the two-dimensional (2D) cubic ferromagnet by means of mean-field analysis and tensor network calculation. While both methods give rise to similar results in detecting related phases, the 2D infinite projected entangled-pair state (iPEPS) calculation provides more accurate values of transition points. Near the phase boundary, moreover, our iPEPS results indicate that it is more difficult to pin down the orientation of magnetic easy axes, and we interpret it as the easy-axis softening. This phenomenon implies an emergence of continuous $U(1)$ symmetry, which is indicated by the low-energy effective model and has been analytically shown by the field theory. Our model and study provide a concrete example for utilizing iPEPS near the critical region, showing that the emergent phenomenon living on the critical points can already be captured by iPEPS with a rather small bond dimension.
description: 14 pages, 9 figures, 1 Table
Co-Design of Analog Neuromorphic Systems and Cortical Motifs with Local Dendritic Learning Rules
Creators: name: Maryada, Maryada
name: De Luca, Chiara
name: Rubino, Arianna
name: Wen, Chenxi
name: Payvand, Melika
name: Indiveri, Giacomo
Publisher: name: G-Node
Year: 2024
Subjects: Computational Neuroscience
Learning, plasticity and memory

description: Bernstein Conference 2024 abstract. https://bernstein-conference.de
The Global Structure of Codimension-2 Local Bifurcations in Continuous-Time Recurrent Neural Networks
Creators: name: Beer, Randall D.
Publisher: name: arXiv
Year: 2021
Subjects: subject: Neurons and Cognition (q-bio.NC)
subject: Neural and Evolutionary Computing (cs.NE)
subject: Dynamical Systems (math.DS)
subject: Adaptation and Self-Organizing Systems (nlin.AO)
subject: FOS: Biological sciences
subject: FOS: Computer and information sciences
subject: FOS: Mathematics
subject: FOS: Physical sciences

description: If we are ever to move beyond the study of isolated special cases in theoretical neuroscience, we need to develop more general theories of neural circuits over a given neural model. The present paper considers this challenge in the context of continuous-time recurrent neural networks (CTRNNs), a simple but dynamically-universal model that has been widely utilized in both computational neuroscience and neural networks. Here we extend previous work on the parameter space structure of codimension-1 local bifurcations in CTRNNs to include codimension-2 local bifurcation manifolds. Specifically, we derive the necessary conditions for all generic local codimension-2 bifurcations for general CTRNNs, specialize these conditions to circuits containing from one to four neurons, illustrate in full detail the application of these conditions to example circuits, derive closed-form expressions for these bifurcation manifolds where possible, and demonstrate how this analysis allows us to find and trace several global codimension-1 bifurcation manifolds that originate from the codimension-2 bifurcations.
Topological quasiparticles and the holographic bulk-edge relation in 2+1D string-net models
Creators: name: Lan, Tian
name: Wen, Xiao-Gang
Publisher: name: arXiv
Year: 2013
Subjects: subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: Category Theory (math.CT)
subject: Quantum Algebra (math.QA)
subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences
subject: FOS: Mathematics

description: String-net models allow us to systematically construct and classify 2+1D topologically ordered states which can have gapped boundaries. We can use a simple ideal string-net wavefunction, which is described by a set of F-matrices [or more precisely, a unitary fusion category (UFC)], to study all the universal properties of such a topological order. In this paper, we describe a finite computational method -- Q-algebra approach, that allows us to compute the non-Abelian statistics of the topological excitations [or more precisely, the unitary modular tensor category (UMTC)], from the string-net wavefunction (or the UFC). We discuss several examples, including the topological phases described by twisted gauge theory (i.e., twisted quantum double $D^α(G)$). Our result can also be viewed from an angle of holographic bulk-boundary relation. The 1+1D anomalous topological orders, that can appear as edges of 2+1D topological states, are classified by UFCs which describe the fusion of quasiparticles in 1+1D. The 1+1D anomalous edge topological order uniquely determines the 2+1D bulk topological order (which are classified by UMTC). Our method allows us to compute this bulk topological order (i.e., the UMTC) from the anomalous edge topological order (i.e., the UFC).
description: 32 pages, 8 figures, reference updated, some refinements
Kirigami, the Verifiable Art of Network Cutting
Creators: name: Thijm, Tim Alberdingk
name: Beckett, Ryan
name: Gupta, Aarti
name: Walker, David
Publisher: name: arXiv
Year: 2022
Subjects: subject: Networking and Internet Architecture (cs.NI)
subject: Formal Languages and Automata Theory (cs.FL)
subject: FOS: Computer and information sciences
subject: C.2.2; D.2.4; F.3.1

description: We introduce a modular verification approach to network control plane verification, where we cut a network into smaller fragments to improve the scalability of SMT solving. Users provide an annotated cut which describes how to generate these fragments from the monolithic network, and we verify each fragment independently, using the annotations to define assumptions and guarantees over fragments akin to assume-guarantee reasoning. We prove this modular network verification procedure is sound and complete with respect to verification over the monolithic network. We implement this procedure as Kirigami, an extension of NV - a network verification language and tool - and evaluate it on industrial topologies with synthesized policies. We observe a 2-8x improvement in end-to-end NV verification time, with SMT solve time improving by up to 6 orders of magnitude.
description: 30 pages, 9 figures, submitted to CAV 2022
A new method for directly computing reduced density matrices
Creators: name: Käding, Christian
name: Pitschmann, Mario
Publisher: name: arXiv
Year: 2022
Subjects: subject: High Energy Physics - Theory (hep-th)
subject: High Energy Physics - Phenomenology (hep-ph)
subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: We demonstrate the power of a first principle-based and practicable method that allows for the perturbative computation of reduced density matrix elements of an open quantum system without making use of any master equations. The approach is based on techniques from non-equilibrium quantum field theory like thermo field dynamics, the Schwinger-Keldsyh formalism, and the Feynman-Vernon influence functional. It does not require the Markov approximation and is essentially a Lehmann-Szymanzik-Zimmermann-like reduction. In order to illustrate this method, we consider a real scalar field as an open quantum system interacting with an environment comprising another real scalar field. We give a general formula that allows for the perturbative computation of density matrix elements for any number of particles in a momentum basis. Finally, we consider a simple toy model and use this formula to obtain expressions for some of the system's reduced density matrix elements.
description: 27 pages, 15 figures, as published in PRD
Cyprinodontiformes
Creators: name: Cohen, Simone C.
name: Kohn, Anna
Publisher: name: Zenodo
Year: 2008
Subjects: Biodiversity
Taxonomy
Animalia
Chordata
Actinopterygii
Cyprinodontiformes

description: Order Cyprinodontiformes  Family Poeciliidae
 Poecilia caucana
 Gyrodactylus milleri (VE) Gyrodactylus poeciliae (VE)
description: Published as part of Cohen, Simone C. & Kohn, Anna, 2008, South American Monogenea — list of species, hosts and geographical distribution from 1997 to 2008, pp. 1-42 in Zootaxa 1924 on page 26, DOI: 10.5281/zenodo.184771
The long-term evolution of neutron star merger remnants - I. The impact of r-process nucleosynthesis
Creators: name: Rosswog, S.
name: Korobkin, O.
name: Arcones, A.
name: Thielemann, F. -K.
name: Piran, T.
Publisher: name: arXiv
Year: 2013
Subjects: subject: High Energy Astrophysical Phenomena (astro-ph.HE)
subject: FOS: Physical sciences

description: We follow the longterm evolution of the dynamic ejecta of neutron star mergers for up to 100 years and over a density range of roughly 40 orders of magnitude. We include the nuclear energy input from the freshly synthesized, radioactively decaying nuclei in our simulations and study its effects on the remnant dynamics. Although the nuclear heating substantially alters the longterm evolution, we find that running nuclear networks over purely hydrodynamic simulations (i.e. without heating) yields actually acceptable nucleosynthesis results. The main dynamic effect of the radioactive heating is to quickly smooth out inhomogeneities in the initial mass distribution, subsequently the evolution proceeds self-similarly and after 100 years the remnant still carries the memory of the initial binary mass ratio. We also explore the nucleosynthetic yields for two mass ejection channels. The dynamic ejecta very robustly produce "strong" r-process elements with $A > 130$ with a pattern that is essentially independent of the details of the merging system. From a simple model we find that neutrino-driven winds yield "weak" r-process contributions with $50 < A < 130$ whose abundance patterns vary substantially between different merger cases. This is because their electron fraction, set by the ratio of neutrino luminosities, varies considerably from case to case. Such winds do not produce any $^{56}{\rm Ni}$, but a range of radioactive isotopes that are long-lived enough to produce a second, radioactively powered electromagnetic transient in addition to the "macronova" from the dynamic ejecta. While our wind model is very simple, it nevertheless demonstrates the potential of such neutrino-driven winds for electromagnetic transients and it motivates further, more detailed neutrino-hydrodynamic studies. The properties of the mentioned transients are discussed in more detail in a companion paper.
description: 13 pages, 11 figures, accepted to MNRAS
The information content of jet quenching and machine learning assisted observable design
Creators: name: Lai, Yue Shi
name: Mulligan, James
name: Płoskoń, Mateusz
name: Ringer, Felix
Publisher: name: arXiv
Year: 2021
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: High Energy Physics - Experiment (hep-ex)
subject: Nuclear Experiment (nucl-ex)
subject: Nuclear Theory (nucl-th)
subject: FOS: Physical sciences

description: Jets produced in high-energy heavy-ion collisions are modified compared to those in proton-proton collisions due to their interaction with the deconfined, strongly-coupled quark-gluon plasma (QGP). In this work, we employ machine learning techniques to identify important features that distinguish jets produced in heavy-ion collisions from jets produced in proton-proton collisions. We formulate the problem using binary classification and focus on leveraging machine learning in ways that inform theoretical calculations of jet modification: (i) we quantify the information content in terms of Infrared Collinear (IRC)-safety and in terms of hard vs. soft emissions, (ii) we identify optimally discriminating observables that are in principle calculable in perturbative QCD, and (iii) we assess the information loss due to the heavy-ion underlying event and background subtraction algorithms. We illustrate our methodology using Monte Carlo event generators, where we find that important information about jet quenching is contained not only in hard splittings but also in soft emissions and IRC-unsafe physics inside the jet. This information appears to be significantly reduced by the presence of the underlying event. We discuss the implications of this for the prospect of using jet quenching to extract properties of the QGP. Since the training labels are exactly known, this methodology can be used directly on experimental data without reliance on modeling. We outline a proposal for how such an experimental analysis can be carried out, and how it can guide future measurements.
description: Final version after journal review
Light-cone effect and supersonic correlations in one- and two-dimensional bosonic superfluids
Creators: name: Carleo, Giuseppe
name: Becca, Federico
name: Sanchez-Palencia, Laurent
name: Sorella, Sandro
name: Fabrizio, Michele
Publisher: name: arXiv
Year: 2013
Subjects: subject: Quantum Gases (cond-mat.quant-gas)
subject: FOS: Physical sciences

description: We study the spreading of density-density correlations in Bose-Hubbard models after a quench of the interaction strength, using time-dependent variational Monte Carlo simulations. It gives access to unprecedented long propagation times and to dimensions higher than one. In both one and two dimensions, we find ballistic light-cone spreading of correlations and extract accurate values of the light-cone velocity in the superfluid regime. We show that the spreading of correlations is generally supersonic, with a light-cone propagating faster than sound modes but slower than the maximum group velocity of density excitations, except at the Mott transition, where all the characteristic velocities are equal. Further, we show that in two dimensions the correlation spreading is highly anisotropic and presents nontrivial interference effects.
description: 4 pages, 3 figures
Clupeiformes
Creators: name: Cohen, Simone C.
name: Kohn, Anna
Publisher: name: Zenodo
Year: 2008
Subjects: Biodiversity
Taxonomy
Animalia
Chordata
Actinopterygii
Clupeiformes

description: Order Clupeiformes  Family Engraulidae
 Anchoa marinii
 Pseudanthocotyloides heterocotyle (AR, UR)
 Engraulis anchoita
 Mazocraes australis (AR, UR)
 Pseudanthocotyloides heterocotyle (AR, UR)
 Engraulis ringens
 Pseudanthocotyloides heterocotyle (CH)
description: Published as part of Cohen, Simone C. & Kohn, Anna, 2008, South American Monogenea — list of species, hosts and geographical distribution from 1997 to 2008, pp. 1-42 in Zootaxa 1924 on page 26, DOI: 10.5281/zenodo.184771
DOME: Discrete oriented muon emission in GEANT4 simulations
Creators: name: Topuz, Ahmet Ilker
name: Kiisk, Madis
name: Giammanco, Andrea
Publisher: name: arXiv
Year: 2022
Subjects: subject: Instrumentation and Methods for Astrophysics (astro-ph.IM)
subject: Computational Physics (physics.comp-ph)
subject: FOS: Physical sciences

description: In this study, we exhibit a number elementary strategies that might be at disposal in diverse computational applications in the GEANT4 simulations with the purpose of hemispherical particle sources. To further detail, we initially generate random points on a spherical surface for a sphere of a practical radius by employing Gaussian distributions for the three components of the Cartesian coordinates, thereby obtaining a generating surface for the initial positions of the corresponding particles. Since we do not require the half bottom part of the produced spherical surface for our tomographic applications, we take the absolute value of the vertical component in the Cartesian coordinates by leading to a half-spherical shell, which is traditionally called a hemisphere. Last but not least, we direct the generated particles into the target material to be irradiated by favoring a selective momentum direction that is based on the vector construction between the random point on the hemispherical surface and the origin of the target material, hereby optimizing the particle loss through the source biasing. In the end, we incorporate our strategy by using G4ParticleGun in the GEANT4 code. Furthermore, we also exhibit a second scheme that is based on the coordinate transformation from the spherical coordinates to the Cartesian coordinates, thereby reducing the number of random number generators. While we plan to exert our strategy in the computational practices for muon scattering tomography, this source scheme might find its straightforward applications in different neighboring fields including but not limited to atmospheric sciences, space engineering, and astrophysics where a 3D particle source is a necessity for the modeling goals.
description: 3 figures
Programmable quantum simulation by dynamic Hamiltonian engineering
Creators: name: Hayes, David L.
name: Flammia, Steven T.
name: Biercuk, Michael J.
Publisher: name: arXiv
Year: 2013
Subjects: subject: Quantum Physics (quant-ph)
subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: FOS: Physical sciences

description: Quantum simulation is a promising near term application for mesoscale quantum information processors, with the potential to solve computationally intractable problems at the scale of just a few dozen interacting quantum systems. Recent experiments in a range of technical platforms have demonstrated the basic functionality of quantum simulation applied to quantum magnetism, quantum phase transitions, and relativistic quantum mechanics. In all cases, the underlying hardware platforms restrict the achievable inter-particle interaction, forming a serious constraint on the ability to realize a versatile, programmable quantum simulator. In this work, we address this problem by developing novel sequences of unitary operations that engineer desired effective Hamiltonians in the time-domain. The result is a hybrid programmable analog simulator permitting a broad class of interacting spin-lattice models to be generated starting only with an arbitrary long-range native inter-particle interaction and single-qubit addressing. Specifically, our approach permits the generation of all symmetrically coupled translation-invariant two-body Hamiltonians with homogeneous on-site terms, a class which includes all spin-1/2 XYZ chains, but generalized to include long-range couplings. Building on previous work proving that universal simulation is possible using both entangling gates and single-qubit unitaries, we show that determining the "program" of unitary pulses to implement an arbitrary spin Hamiltonian can be formulated as a linear program that runs in polynomial time and scales efficiently in hardware resources. Our analysis extends from circuit model quantum information to adiabatic quantum evolutions, where our approach allows for the creation of non-native ground state solutions to a computation.
description: Related papers at http://www.physics.usyd.edu.au/~mbiercuk/Publications.html
LatentKeypointGAN: Controlling Images via Latent Keypoints -- Extended Abstract
Creators: name: He, Xingzhe
name: Wandt, Bastian
name: Rhodin, Helge
Publisher: name: arXiv
Year: 2022
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: FOS: Computer and information sciences

description: Generative adversarial networks (GANs) can now generate photo-realistic images. However, how to best control the image content remains an open challenge. We introduce LatentKeypointGAN, a two-stage GAN internally conditioned on a set of keypoints and associated appearance embeddings providing control of the position and style of the generated objects and their respective parts. A major difficulty that we address is disentangling the image into spatial and appearance factors with little domain knowledge and supervision signals. We demonstrate in a user study and quantitative experiments that LatentKeypointGAN provides an interpretable latent space that can be used to re-arrange the generated images by re-positioning and exchanging keypoint embeddings, such as generating portraits by combining the eyes, and mouth from different images. Notably, our method does not require labels as it is self-supervised and thereby applies to diverse application domains, such as editing portraits, indoor rooms, and full-body human poses.
description: arXiv admin note: substantial text overlap with arXiv:2103.15812
A feedback control algorithm for online learning in Spiking Neural Networks and Neuromorphic devices
Creators: name: Saponati, Matteo
name: De Luca, Chiara
name: Indiveri, Giacomo
name: Grewe, Benjamin
Publisher: name: G-Node
Year: 2024
Subjects: Computational Neuroscience
Learning, plasticity and memory

description: Bernstein Conference 2024 abstract. https://bernstein-conference.de
Synaptic Plasticity Mechanisms Enable Incremental Learning of Spatio-Temporal Activity Patterns
Creators: name: Habibabadi, Mohammad D.
name: Müller, Lenny S.
name: Pawelzik, Klaus R.
Publisher: name: G-Node
Year: 2024
Subjects: Computational Neuroscience
Learning, plasticity and memory

description: Bernstein Conference 2024 abstract. https://bernstein-conference.de
Phanaeus splendidulus
Creators: name: Lizardo, Viridiana
name: Moctezuma, Víctor
name: Escobar-Sarria, Federico
Publisher: name: Zenodo
Year: 2022
Subjects: Biodiversity
Taxonomy
Animalia
Arthropoda
Insecta
Coleoptera
Scarabaeidae
Phanaeus
Phanaeus splendidulus

description: Phanaeus splendidulus (Fabricius, 1781) Recorded Distribution: BRAZIL: Bahia — Itacaré, Espírito Santo — Linhares, Aracruz, Santa Leopoldina, Venda Nova do Imigrante, Vitoria, Conceição do Castelo, Vargem Alta, Minas Gerais — Mesquita, Ipatinga, Marliéria, Mariana, Viçosa, Lavras, Cachoeira de Minas, Paraná — Prudentópolis, Curitiba, Araucária, Rio de Janeiro — Nova Friburgo, Teresópolis, Itatiaia, Rio de Janeiro, Santa Catarina — Corupá, Camboriú, Itapema, Bombinhas, Governador Celso Ramos, Antônio Carlos, Florianopolis, São Pedro de Alcântara, Rancho Queimado, Santo Amaro da Imperatriz, Anitápolis, Siderópolis, São Paulo — Piracununga, Vargem, Bragança Paulista, Joanópolis, São José dos Campos, Atibaia, Piracaia, Nazaré Paulista, Bon Jesus dos Perdoes, Jundiaí, São Luiz do Paraitinga, Ubatuba, Natividade da Serra, São Sebastião, Santos, São Miguel Arcanjo, Sete Barras. Altitude: from 4 to 1235 m a.s.l. Biomes: Mangroves, Tropical & Subtropical Moist Broadleaf Forests. Ecorregions: NEOTROPIC: Southern Atlantic Brazilian mangroves, Bahia coastal forests, Bahia interior forests, Alto Paraná Atlantic forests, Serra do Mar coastal forests, Araucaria moist forests. Predicted distribution: This species distributes from -29.89° to -5.95° latitude in an area of 491,918 Km2. Its predicted distribution has a mean annual temperature of 18.52-21.83° C with a maximum difference of temperature of 17.79° C during the year and mean precipitation of 1295-1617 mm per year.
description: Published as part of Lizardo, Viridiana, Moctezuma, Víctor & Escobar-Sarria, Federico, 2022, Predicted and recorded distribution maps of the genus Phanaeus (Coleoptera: Scarabaeidae). Supplementary material of Distribution, Regionalization, and Diversity of the dung beetle genus Phanaeus MacLeay (Coleoptera: Scarabaeidae) using Species Distribution Models, pp. 1-77 in Zootaxa (suppl.) (suppl.) 5213 (5) on pages 57-58, DOI: 10.5281/zenodo.7387492
Dirac-Fermion-Induced Parity Mixing in Superconducting Topological Insulators
Creators: name: Mizushima, Takeshi
name: Yamakage, Ai
name: Sato, Masatoshi
name: Tanaka, Yukio
Publisher: name: arXiv
Year: 2013
Subjects: subject: Superconductivity (cond-mat.supr-con)
subject: FOS: Physical sciences

description: We self-consistently study surface states of superconducting topological insulators. We clarify that, if a topologically trivial bulk s-wave pairing symmetry is realized, parity mixing of pair potential near the surface is anomalously enhanced by surface Dirac fermions, opening an additional surface gap larger than the bulk one. In contrast to classical s-wave superconductors, the resulting surface density of state hosts an extra coherent peak at the induced gap besides a conventional peak at the bulk gap. We also find that no such extra peak appears for odd-parity superconductors with a cylindrical Fermi surface. Our calculation suggests that the simple U-shaped scanning tunneling microscope spectrum in Cu$_x$Bi$_2$Se$_3$ does not originate from s-wave superconductivity, but can be explained by odd-parity superconductivity with a cylindrical Fermi surface.
description: 12 pages, 11 figures, published version
Singlet-doublet transitions of a quantum dot Josephson junction detected in a transmon circuit
Creators: name: Bargerbos, Arno
name: Pita-Vidal, Marta
name: Žitko, Rok
name: Ávila, Jesús
name: Splitthoff, Lukas J.
name: Grünhaupt, Lukas
name: Wesdorp, Jaap J.
name: Andersen, Christian K.
name: Liu, Yu
name: Kouwenhoven, Leo P.
name: Aguado, Ramón
name: Kou, Angela
name: van Heck, Bernard
Publisher: name: arXiv
Year: 2022
Subjects: subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: Superconductivity (cond-mat.supr-con)
subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: We realize a hybrid superconductor-semiconductor transmon device in which the Josephson effect is controlled by a gate-defined quantum dot in an InAs/Al nanowire. Microwave spectroscopy of the transmon's transition spectrum allows us to probe the ground state parity of the quantum dot as a function of gate voltages, external magnetic flux, and magnetic field applied parallel to the nanowire. The measured parity phase diagram is in agreement with that predicted by a single-impurity Anderson model with superconducting leads. Through continuous time monitoring of the circuit we furthermore resolve the quasiparticle dynamics of the quantum dot Josephson junction across the phase boundaries. Our results can facilitate the realization of semiconductor-based $0-π$ qubits and Andreev qubits.
description: Main text has 14 pages, 7 figures. Supplement has 21 pages, 21 figures
The long-term evolution of neutron star merger remnants - II. Radioactively powered transients
Creators: name: Grossman, Doron
name: Korobkin, Oleg
name: Rosswog, Stephan
name: Piran, Tsvi
Publisher: name: arXiv
Year: 2013
Subjects: subject: High Energy Astrophysical Phenomena (astro-ph.HE)
subject: FOS: Physical sciences

description: We use 3D hydrodynamic simulations of the long-term evolution of neutron star merger ejecta to predict the light curves of electromagnetic transients that are powered by the decay of freshly produced r-process nuclei. For the dynamic ejecta that are launched by tidal and hydrodynamic interaction, we adopt grey opacities of 10 cm$^2$/g, as suggested by recent studies. For our reference case of a 1.3-1.4 $M_\odot$ merger, we find a broad IR peak 2-4 d after the merger. The peak luminosity is $\approx 2\times 10^{40}$ erg/s for an average orientation, but increased by up to a factor of 4 for more favourable binary parameters and viewing angles. These signals are rather weak and hardly detectable within the large error box (~100 deg$^2$) of a gravitational wave trigger. A second electromagnetic transient results from neutrino-driven winds. These winds produce `weak' r-process material with $50 < A < 130$ and abundance patterns that vary substantially between different merger cases. For an adopted opacity of 1 cm$^2$/g, the resulting transients peak in the UV/optical about 6 h after the merger with a luminosity of $\approx 10^{41}$ erg/s (for a wind of 0.01 $M_\odot$) These signals are marginally detectable in deep follow-up searches (e.g. using Hypersuprime camera on Subaru). A subsequent detection of the weaker but longer lasting IR signal would allow an identification of the merger event. We briefly discuss the implications of our results to the recent detection of an nIR transient accompanying GRB 130603B.
description: 14 pages, 11 figures, 5 tables, accepted to MNRAS
Gadiformes
Creators: name: Cohen, Simone C.
name: Kohn, Anna
Publisher: name: Zenodo
Year: 2008
Subjects: Biodiversity
Taxonomy
Animalia
Chordata
Actinopterygii
Gadiformes

description: Order Gadiformes  Family Phycidae
 Urophycis brasiliensis
 Diclidophoroides maccallumi (AR, BR)
 Urophycis mystaceus
 Nudaciraxine sp. (BR)
description: Published as part of Cohen, Simone C. & Kohn, Anna, 2008, South American Monogenea — list of species, hosts and geographical distribution from 1997 to 2008, pp. 1-42 in Zootaxa 1924 on page 27, DOI: 10.5281/zenodo.184771
Is Bitcoin really a currency? A viewpoint of a stochastic volatility model
Creators: name: Kunimoto, Noriyuki
name: Kakamu, Kazuhiko
Publisher: name: arXiv
Year: 2021
Subjects: subject: Statistical Finance (q-fin.ST)
subject: FOS: Economics and business

description: Using the asymmetric stochastic volatility model, this study investigates the day-of-the-week and holiday effects on the returns and volatility of Bitcoin from January 1, 2013 to August 31, 2019; in this context, we also discuss the characteristics of Bitcoin as a financial asset. The results of the estimation are threefold. First, the finding shows a small day-of-the week effect in volatility on Saturday and Sunday than in the rest of the week. Second, although the holiday effects are examined in active trading countries, namely Japan, China, Germany, and the United States, the positive post-holiday effect on the returns and weak positive pre-holiday effect on the volatility are only observed in the United States. Finally, the asymmetry effect is not observed. A comparison of Bitcoin to several assets such as stock, currency, and gold shows Bitcoin's positioning between stock, currency, and gold in relation to the week and holiday effects, its reaction to federal funds and medium of exchange characteristics, and the lack of asymmetry effect.
Quantum simulation of correlated-hopping models with fermions in optical lattices
Creators: name: Di Liberto, M.
name: Creffield, C. E.
name: Japaridze, G. I.
name: Smith, C. Morais
Publisher: name: arXiv
Year: 2013
Subjects: subject: Quantum Gases (cond-mat.quant-gas)
subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: Superconductivity (cond-mat.supr-con)
subject: FOS: Physical sciences

description: By using a modulated magnetic field in a Feshbach resonance for ultracold fermionic atoms in optical lattices, we show that it is possible to engineer a class of models usually referred to as correlated-hopping models. These models differ from the Hubbard model in exhibiting additional density-dependent interaction terms that affect the hopping processes. In addition to the spin-SU(2) symmetry, they also possess a charge-SU(2) symmetry, which opens the possibility of investigating the $η$-pairing mechanism for superconductivity introduced by Yang for the Hubbard model. We discuss the known solution of the model in 1D (where $η$ states have been found in the degenerate manifold of the ground state) and show that, away from the integrable point, quantum Monte Carlo simulations at half filling predict the emergence of a phase with coexisting incommensurate spin and charge order.
description: 10 pages, 9 figures
A bottom-up approach to Activity Dependent and Activity Independent Synaptic Turnover
Creators: name: Soltanipour, Mohammadreza
name: Nagel, Aaron
name: Willig, Katrin
name: Wolf, Fred
Publisher: name: G-Node
Year: 2024
Subjects: Computational Neuroscience
Learning, plasticity and memory

description: Bernstein Conference 2024 abstract. https://bernstein-conference.de
Deep Isolation Forest for Anomaly Detection
Creators: name: Xu, Hongzuo
name: Pang, Guansong
name: Wang, Yijie
name: Wang, Yongjun
Publisher: name: arXiv
Year: 2022
Subjects: subject: Machine Learning (cs.LG)
subject: FOS: Computer and information sciences

description: Isolation forest (iForest) has been emerging as arguably the most popular anomaly detector in recent years due to its general effectiveness across different benchmarks and strong scalability. Nevertheless, its linear axis-parallel isolation method often leads to (i) failure in detecting hard anomalies that are difficult to isolate in high-dimensional/non-linear-separable data space, and (ii) notorious algorithmic bias that assigns unexpectedly lower anomaly scores to artefact regions. These issues contribute to high false negative errors. Several iForest extensions are introduced, but they essentially still employ shallow, linear data partition, restricting their power in isolating true anomalies. Therefore, this paper proposes deep isolation forest. We introduce a new representation scheme that utilises casually initialised neural networks to map original data into random representation ensembles, where random axis-parallel cuts are subsequently applied to perform the data partition. This representation scheme facilitates high freedom of the partition in the original data space (equivalent to non-linear partition on subspaces of varying sizes), encouraging a unique synergy between random representations and random partition-based isolation. Extensive experiments show that our model achieves significant improvement over state-of-the-art isolation-based methods and deep detectors on tabular, graph and time series datasets; our model also inherits desired scalability from iForest.
description: Accepted by IEEE Transactions on Knowledge and Data Engineering (TKDE)
Summation-by-parts operators for general function spaces
Creators: name: Glaubitz, Jan
name: Nordström, Jan
name: Öffner, Philipp
Publisher: name: arXiv
Year: 2022
Subjects: subject: Numerical Analysis (math.NA)
subject: FOS: Mathematics
subject: 65M12, 65M60, 65M70, 65D25, 65T40, 65D12

description: Summation-by-parts (SBP) operators are popular building blocks for systematically developing stable and high-order accurate numerical methods for time-dependent differential equations. The main idea behind existing SBP operators is that the solution is assumed to be well approximated by polynomials up to a certain degree, and the SBP operator should therefore be exact for them. However, polynomials might not provide the best approximation for some problems, and other approximation spaces may be more appropriate. In this paper, a theory for SBP operators based on general function spaces is developed. We demonstrate that most of the established results for polynomial-based SBP operators carry over to this general class of SBP operators. Our findings imply that the concept of SBP operators can be applied to a significantly larger class of methods than currently known. We exemplify the general theory by considering trigonometric, exponential, and radial basis functions.
description: 22 pages, 6 figures
Real-time detection of sharp-wave ripples with a closed-loop stimulation framework
Creators: name: Uran, Cem
name: Gascó Gálvez, Carmen
name: Zordan, Angela
name: Bos, Jeroen
name: Battaglia, Francesco
name: Vinck, Martin
Publisher: name: G-Node
Year: 2024
Subjects: Computational Neuroscience
Learning, plasticity and memory

description: Bernstein Conference 2024 abstract. https://bernstein-conference.de