cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Polycyclic Aromatic Hydrocarbon emission in Spitzer/IRS maps I: Catalog and simple diagnostics
Creators: name: Stock, D. J.
name: Choi, W. D. -Y.
name: Moya, L. G. V.
name: Otaguro, J. N.
name: Sorkhou, S.
name: Allamandola, L. J.
name: Tielens, A. G. G. M.
name: Peeters, E.
Publisher: name: arXiv
Year: 2016
Subjects: subject: Astrophysics of Galaxies (astro-ph.GA)
subject: FOS: Physical sciences

description: We present a sample of resolved galactic HII regions and photodissociation regions (PDRs) observed with the Spitzer infrared spectrograph (IRS) in spectral mapping mode between the wavelengths of 5--15 $μ$m. For each object we have spectral maps at a spatial resolution of $\sim$4" in which we have measured all of the mid-infrared emission and absorption features. These include the PAH emission bands, primarily at 6.2, 7.7, 8.6, 11.2 and 12.7 $μ$m, as well as the spectral emission lines of neon and sulfur and the absorption band caused by silicate dust at around 9.8 $μ$m. In this work we describe the data in detail, including the data reduction and measurement strategies, and subsequently present the PAH emission band intensity correlations for each of the objects and the sample as a whole. We find that there are distinct differences between the sources in the sample, with two main groups, the first comprising the HII regions and the second the reflection nebulae (RNe). Three sources, the reflection nebula NGC~7023, the Horsehead nebula PDR (an interface between the HII region IC~434 and the Orion B molecular cloud) and M 17, resist this categorization, with the Horsehead PDR points mimicking the RNe and the NGC~7023 fluxes displaying unique bifurcated appearance in our correlation plots. These discrepancies seem to be due to the very low radiation field experienced by the Horsehead PDR and the very clean separation between the PDR environment and a diffuse environment in the NGC~7023 observations.
description: 17 pages, 9 figures. ApJ accepted
Isobaric heat capacity, isothermal compressibility and fluctuational properties of 1-bromoalkanes
Creators: name: Korotkovskii, V. I.
name: Ryshkova, O. S.
name: Neruchev, Yu. A.
name: Goncharov, A. L.
name: Postnikov, E. B.
Publisher: name: arXiv
Year: 2016
Subjects: subject: Chemical Physics (physics.chem-ph)
subject: Statistical Mechanics (cond-mat.stat-mech)
subject: FOS: Physical sciences

description: We present results of the experimental measurements of the isobaric heat capacity for 1-bromohexane, 1-bromoheptane, 1-bromooctane, 1-bromononane, 1-bromodecane, 1-bromoundecane, 1-bromododecane and 1-bromo-tetradecane at normal pressure and the speed of sound and the density for 1-bromotetradecane within the temperature range 298.15--423.15~K. These data on the isobaric heat capacity and the literature-based reference data for the density and the speed of sound were used to calculate the isothermal compressibility and the inverse reduced fluctuations. Based on the comparison of the results for pure n-alkanes and $α,ω$-dibromoalkanes, we discuss the influence of bromine atom on the volume fluctuations.
description: 13 pages, 5 table, 4 figures
Actinide and lanthanide molecules to search for strong CP-violation
Creators: name: Skripnikov, Leonid V.
name: Mosyagin, Nikolai S.
name: Titov, Anatoly V.
name: Flambaum, Victor V.
Publisher: name: arXiv
Year: 2020
Subjects: subject: Atomic Physics (physics.atom-ph)
subject: High Energy Physics - Phenomenology (hep-ph)
subject: Nuclear Theory (nucl-th)
subject: Chemical Physics (physics.chem-ph)
subject: FOS: Physical sciences

description: The existence of the fundamental CP-violating interactions inside the nucleus leads to the existence of the nuclear Schiff moment. The Schiff moment potential corresponds to the electric field localized inside the nucleus and directed along its spin. This field can interact with electrons of an atom and induce the permanent electric dipole moment (EDM) of the whole system. The Schiff moment and corresponding electric field are enhanced in the nuclei with the octupole deformation leading to the enhanced atomic EDM. There is also a few-order enhancement of the T,P-violating effects in molecules due to the existence of energetically close levels of opposite parity. We study the Schiff moment enhancement in the class of diatomic molecules with octupole-deformed lanthanide and actinide nuclei: $^{227}$AcF, $^{227}$AcN, $^{227}$AcO$^+$, $^{229}$ThO, $^{153}$EuO$^+$ and $^{153}$EuN. Projecting the existing experimental achievements to measure EDM in diamagnetic molecules with spherical nucleus ($^{205}$TlF) to the considered systems one can expect a very high sensitivity to the quantum chromodynamics parameter ${\bar θ}$ and other hadronic CP-violation parameters surpassing the current best limits by several orders of magnitude. It can have a dramatic impact on the modern understanding of the nature of CP-violating fundamental interactions.
Anomalous Hall metals from strong disorder in class A systems on partite lattices
Creators: name: Castro, Eduardo V.
name: de Gail, Raphael
name: López-Sancho, M. Pilar
name: Vozmediano, María A. H.
Publisher: name: arXiv
Year: 2016
Subjects: subject: Disordered Systems and Neural Networks (cond-mat.dis-nn)
subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: FOS: Physical sciences

description: Topological matter is a trending topic in condensed matter: From a fundamental point of view it has introduced new phenomena and tools, and for technological applications, it holds the promise of basic stable quantum computing. Similarly, the physics of localization by disorder, an old paradigm of obvious technological importance in the field, continues revealing surprises when new properties of matter appear. This work deals with the localization behavior of electronic systems based on partite lattices with special attention to the role of topology. We find an unexpected result from the point of view of localization properties: A robust topological metallic state characterized by a non--quantized Hall conductivity arises from strong disorder in class A (time reversal symmetry broken) insulators. The key issue is the nature of the disorder realization: selective disorder in only one sublattice in systems based on bipartite lattices. The generality of the result is based on the partite nature of most recent 2D materials as graphene or transition metal dichalcogenides, and the possibility of the physical realization of the particular disorder demonstrated in ref. 1. An anomalous Hall metal arises also when the original clean insulator is topologically trivial.
Dynamic Stability Analysis of Zoned shell – fill dam with central clay core - A Case Study on Yanda Shell Fill Dam
Creators: name: Admasu Aterefe
Publisher: name: National Academic Digital Repository of Ethiopia
Year: 2021
Subjects: Dynamic stability , Design base earthquake, limit equilibrium method , Maximum credible earthquake, pore water pressure, Finite element method .

description: Dams are designed and constructed to withstand various natural forces and events that
 has occurred in the past or might be expected to occur in the future. It is a fact that
 ground motion can result in damages on dams and on their appurtenant. .This study
 was carried out to analyze the dynamic stability of Yanda Shell Fill dam and its permanent deformation performance which is subjected to cyclic load using Geostudio with 2D- finite element and limit equilibrium metheds before and after earthqauke condation where considered for dynamic model ananlysis and Elastic
 plasticmodel was used for static stress ananlysis.A Mohr-coulomb technique and
 Morgenstern price were employed to examine failure slope surface in pre earthqauke
 and Newmark-deformation ananlysis for its deformation crest after earthqauke .It was
 found that the pore water pressure that flow through the dam was high. During design
 Base earthquake and maximum credible earthquake ,the dam height was reduced by
 0.613meter and 0.641meter ,respectively. From the results it possible to conclude that
 the amount of water seeping throught the dam may reduce matreials’ strength, and
 during the high magnitude of the earthquake, the crest of the dam may deform and
 overtop the imponding upstream water above the dam crest. Hence,it is essential to
 increase cumber height by 2% of the dam height.
The Global Geometry of Centralized and Distributed Low-rank Matrix Recovery without Regularization
Creators: name: Li, Shuang
name: Li, Qiuwei
name: Zhu, Zhihui
name: Tang, Gongguo
name: Wakin, Michael B.
Publisher: name: arXiv
Year: 2020
Subjects: subject: Optimization and Control (math.OC)
subject: FOS: Mathematics

description: Low-rank matrix recovery is a fundamental problem in signal processing and machine learning. A recent very popular approach to recovering a low-rank matrix X is to factorize it as a product of two smaller matrices, i.e., X = UV^T, and then optimize over U, V instead of X. Despite the resulting non-convexity, recent results have shown that many factorized objective functions actually have benign global geometry---with no spurious local minima and satisfying the so-called strict saddle property---ensuring convergence to a global minimum for many local-search algorithms. Such results hold whenever the original objective function is restricted strongly convex and smooth. However, most of these results actually consider a modified cost function that includes a balancing regularizer. While useful for deriving theory, this balancing regularizer does not appear to be necessary in practice. In this work, we close this theory-practice gap by proving that the unaltered factorized non-convex problem, without the balancing regularizer, also has similar benign global geometry. Moreover, we also extend our theoretical results to the field of distributed optimization.
Bayesian Methods for Multiple Change-Point Detection with Reduced Communication
Creators: name: Nitzan, Eyal
name: Halme, Topi
name: Koivunen, Visa
Publisher: name: arXiv
Year: 2020
Subjects: subject: Information Theory (cs.IT)
subject: FOS: Computer and information sciences

description: In many modern applications, large-scale sensor networks are used to perform statistical inference tasks. In this paper, we propose Bayesian methods for multiple change-point detection using a sensor network in which a fusion center (FC) can receive a data stream from each sensor. Due to communication limitations, the FC monitors only a subset of the sensors at each time slot. Since the number of change points can be high, we adopt the false discovery rate (FDR) criterion for controlling the rate of false alarms, while minimizing the average detection delay (ADD). We propose two Bayesian detection procedures that handle the communication limitations by monitoring the subset of the sensors with the highest posterior probabilities of change points having occurred. This monitoring policy aims to minimize the delay between the occurrence of each change point and its declaration using the corresponding posterior probabilities. One of the proposed procedures is more conservative than the second one in terms of having lower FDR at the expense of higher ADD. It is analytically shown that both procedures control the FDR under a specified tolerated level and are also scalable in the sense that they attain an ADD that does not increase asymptotically with the number of sensors. In addition, it is demonstrated that the proposed detection procedures are useful for trading off between reduced ADD and reduced average number of observations drawn until discovery. Numerical simulations are conducted for validating the analytical results and for demonstrating the properties of the proposed procedures.
description: 13 pages, 10 figures
Developing English to Dawurootsuwa Machine Translation Model Using RNN
Creators: name: Asefa, Elias
Publisher: name: National Academic Digital Repository of Ethiopia
Year: 2021
Subjects: Artificial Neural Network, Dawurootsuwa, English, Machine Translation.

description: The idea of language translation is developing recently to solve the issues of linguistic diversity.
 The translation of English texts into Amharic, Afaan-Oromoo, Tigrigna, China, French, and
 Somalia are developed. However, as the knowledge of the researchers is concerned, English to
 Dawurootsuwa machine translation is not developed. This thesis aims to develop unidirectional
 English to the Dawurootsuwa machine translation model by using Neural Network (NN)
 approaches. In NN approach Recurrent Neural network is a model that designed to recognize and
 analyze patterns in sequences of data. It predicted the output text based on the current input text
 and previous output text. Under in RNN LSTM and GRU contain a neuron, each neuron are
 replaced with cells having control gates. That used for a memory cell that maintains gates to
 manage the flow of sentences inaccurate order and fully connected to the model. A parallel corpus,
 which consists of 20,345 pairs of sentences is prepared from different sources and classified as a
 90% training set and a 10% test set. A recurrent Neural Network model with 22 input nodes and
 27 output nodes is developed and implemented using Keras toolkit of Python programing language
 and Adam algorithm. Totally they are contain four results based automatic (BLEU) score and
 manual evaluation (Arithmetic Mean Value) techniques with hidden layer size of 2. In simple RNN
 model the BLEU score is 0.5187 with the learning rate of 0.002 and AMV result is 0.60914. In
 embedding RNN model the BLEU score is 0.5245 with the learning rate of 0.003 and AMV result
 is 0.60914. In bidirectional RNN model the BLEU score is 0.5452 with the learning rate of 0.004
 and AMV result is 0. 0.60914. Finally, in encoder-decoder model the BLEU score is 0.555 with
 the learning rate of 0.005 and AMV result is 0.60914. And after 0.005 learning rate there is similar
 score were recorded with the maximum threshold epochs of 100. From the result, concluded that,
 encoder decoder model of BLEU score 0.555 is fairly good accuracy achieved compare from the
 rest model and less achieved comparatively from AMV result. In further work to encourage
 English-Dawurootsuwa parallel corpus improve the accuracy more and minimize the loss and.
 develop the model from unidirectional to the multidirectional language model.
On the Optical -- X-ray correlation from outburst to quiescence in Low Mass X-ray Binaries: the representative cases of V404 Cyg and Cen X-4
Creators: name: Bernardini, F.
name: Russell, D. M.
name: Koljonen, K. I. I.
name: Stella, L.
name: Hynes, R. I.
name: Corbel, S.
Publisher: name: arXiv
Year: 2016
Subjects: subject: High Energy Astrophysical Phenomena (astro-ph.HE)
subject: FOS: Physical sciences

description: Low mass X-ray binaries (LMXBs) show evidence of a global correlation of debated origin between X-ray and optical luminosity. We study for the first time this correlation in two transient LMXBs, the black hole V404 Cyg and the neutron star Cen X-4, over 6 orders of magnitude in X-ray luminosity, from outburst to quiescence. After subtracting the contribution from the companion star, the Cen X-4 data can be described by a single power law correlation of the form $L_{opt}\propto\,L_{X}^{0.44}$, consistent with disk reprocessing. We find a similar correlation slope for V404 Cyg in quiescence (0.46) and a steeper one (0.56) in the outburst hard state of 1989. However, V404 Cyg is about $160-280$ times optically brighter, at a given $3-9$ keV X-ray luminosity, compared to Cen X-4. This ratio is a factor of 10 smaller in quiescence, where the normalization of the V404 Cyg correlation also changes. We show that once the bolometric X-ray emission is considered and the known main differences between V404 Cyg and Cen X-4 are taken into account (a larger compact object mass, accretion disk size, and the presence of a strong jet contribution in the hard state for the black hole system) the two systems lie on the same correlation. In V404 Cyg, the jet dominates spectrally at optical-infrared frequencies during the hard state, but makes a negligible contribution in quiescence, which may account for the change in its correlation slope and normalization. These results provide a benchmark to compare with data from the 2015 outburst of V404 Cyg and, potentially, other transient LMXBs as well.
description: Accepted on ApJ, 12 pages, 4 figures, 4 tables
Seabed classification using physics-based modeling and machine learning
Creators: name: Frederick, Christina
name: Villar, Soledad
name: Michalopoulou, Zoi-Heleni
Publisher: name: arXiv
Year: 2020
Subjects: subject: Signal Processing (eess.SP)
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: In this work model-based methods are employed along with machine learning techniques to classify sediments in oceanic environments based on the geoacoustic properties of a two-layer seabed. Two different scenarios are investigated. First, a simple low-frequency case is set up, where the acoustic field is modeled with normal modes. Four different hypotheses are made for seafloor sediment possibilities and these are explored using both various machine learning techniques and a simple matched-field approach. For most noise levels, the latter has an inferior performance to the machine learning methods. Second, the high-frequency model of the scattering from a rough, two-layer seafloor is considered. Again, four different sediment possibilities are classified with machine learning. For higher accuracy, 1D Convolutional Neural Networks (CNNs) are employed. In both cases we see that the machine learning methods, both in simple and more complex formulations, lead to effective sediment characterization. Our results assess the robustness to noise and model misspecification of different classifiers.
Isoscalar dipole transition as a probe for asymmetric clustering
Creators: name: Chiba, Y.
name: Kimura, M.
name: Taniguchi, Y.
Publisher: name: arXiv
Year: 2015
Subjects: subject: Nuclear Theory (nucl-th)
subject: Nuclear Experiment (nucl-ex)
subject: FOS: Physical sciences

description: Background: The sharp $1^-$ resonances with enhanced isoscalar dipole transition strengths are observed in many light nuclei at relatively small excitation energies, but their nature was unclear. Purpose: We show those resonances can be attributed to the cluster states with asymmetric configurations such as $α$+$^{16}{\rm O}$. We explain why asymmetric cluster states are strongly excited by the isoscalar dipole transition. We also provide a theoretical prediction of the isoscalar dipole transitions in $^{20}{\rm Ne}$ and $^{44}{\rm Ti}$. Method: The transition matrix is analytically derived to clarify the excitation mechanism. The nuclear model calculations by Brink-Bloch wave function and antisymmetrized molecular dynamics are also performed to provide a theoretical prediction for $^{20}{\rm Ne}$ and $^{44}{\rm Ti}$. Results: It is shown that the transition matrix is as large as the Weisskopf estimate even though the ground state is an ideal shell model state. Furthermore, it is considerably amplified if the ground state has cluster correlation. The nuclear model calculations predict large transition matrix to the $α$+$^{16}{\rm O}$ and $α$+$^{40}{\rm Ca}$ cluster states comparable with or larger than the Weisskopf estimate. Conclusion: We conclude that the asymmetric cluster states are strongly excited by the isoscalar dipole transition. Combined with the isoscalar monopole transition that populates the $0^+$ cluster states, the isoscalar transitions are promising probe for asymmetric clusters.
Design of Optimal fuzzy- Pid Controller for Dual- Axis solar Tracking System
Creators: name: Chalachew Werku
Publisher: name: National Academic Digital Repository of Ethiopia
Year: 2021
Subjects: Dual axis solar tracker, Cuckoo Search Algorithm, Fuzzy-PID.

description: We can get energy from different sources. The use of renewable sources of energy is
 proved to be advantageous but researches are ongoing in making efficient and cost
 effective systems that enables to extract maximum energy. Among the various
 renewable energy sources solar is readily available one. To maximize the energy
 extraction effective tracking control mechanisms required.
 First, mathematical model of the dual axis solar tracker is established and Cuckoo
 Search Algorithm (CSA) is used to optimize parameters of (Proportional Integral
 Derivative) PID controller to control elevation and azimuth of the dual axis solar
 tracker. The CSA searches for optimum values of PID gains by minimizing objective
 functions ITAE (Integral Time Absolute Error) and ICS (Integral Control Square).
 Fuzzy system is used for further tuning of the PID controller gain depending on the
 amount of positional error and rate of change of positional error.
 MATLAB/Simulink is used for simulating the system and comparing with other
 controller mechanisms. The proposed optimized Fuzzy-PID has least overshoot (0%)
 which is 61.3% less and settling time(0.6203sec) which is 325.1% less than PID
 controller and 0.87% less overshoot and 44.3% less settling time than optimized fuzzyPID. It is effective in suppressing oscillation which helps smooth operation of the
 system. In experimental analysis CSA optimized PID settles in 0.202 seconds and 1.16 seconds
 on azimuth and elevation direction respectively with 0% steady state error.
Numerical study of the Kerr solution in rotating coordinates
Creators: name: Bai, S.
name: Izquierdo, G.
name: Klein, C.
Publisher: name: arXiv
Year: 2016
Subjects: subject: General Relativity and Quantum Cosmology (gr-qc)
subject: FOS: Physical sciences

description: The Kerr solution in coordinates corotating with the horizon is studied as a testbed for a spacetime with a helical Killing vector in the Ernst picture. The solution is numerically constructed by solving the Ernst equation with a spectral method and a Newton iteration. We discuss convergence of the iteration for several initial iterates and different values of the Kerr parameters.
Topological optimization of hybrid quantum key distribution networks
Creators: name: Wang, Ya-Xing
name: Li, Qiong
name: Mao, Hao-Kun
name: Han, Qi
name: Huang, Fu-Rong
name: Xu, Hong-Wei
Publisher: name: arXiv
Year: 2020
Subjects: subject: Quantum Physics (quant-ph)
subject: Networking and Internet Architecture (cs.NI)
subject: FOS: Physical sciences
subject: FOS: Computer and information sciences

description: With the growing complexity of quantum key distribution (QKD) network structures, aforehand topology design is of great significance to support a large-number of nodes over a large-spatial area. However, the exclusivity of quantum channels, the limitation of key generation capabilities, the variety of QKD protocols and the necessity of untrusted-relay selection, make the optimal topology design a very complicated task. In this research, a hybrid QKD network is studied for the first time from the perspective of topology, by analyzing the topological differences of various QKD protocols. In addition, to make full use of hybrid networking, an analytical model for optimal topology calculation is proposed, to reach the goal of best secure communication service by optimizing the deployment of various QKD devices and the selection of untrusted-relays under a given cost limit. Plentiful simulation results show that hybrid networking and untrusted-relay selection can bring great performance advantages, and then the universality and effectiveness of the proposed analytical model are verified.
description: 12 pages, 4 figures
GR 290 (Romano's Star): 2. Light history and evolutionary state
Creators: name: Polcaro, V. F.
name: Maryeva, O.
name: Nesci, R.
name: Calabresi, M.
name: Chieffi, A.
name: Galleti, S.
name: Gualandi, R.
name: Haver, R.
name: Mills, O. F.
name: Osborn, W. H.
name: Pasquali, A.
name: Rossi, C.
name: Vasilyeva, T.
name: Viotti, R. F.
Publisher: name: arXiv
Year: 2016
Subjects: subject: Solar and Stellar Astrophysics (astro-ph.SR)
subject: FOS: Physical sciences

description: We have built the historical light curve of the luminous variable GR 290 back to 1901, from old observations of the star found in several archival plates of M 33. These old recordings together with published and new data show that for at least half a century the star was in a low luminosity state, with B ~18. After 1960, five large variability cycles of visual luminosity were recorded. The amplitude of the oscillations was seen increasing towards the 1992-1994 maximum, then decreasing during the last maxima. The recent light curve indicates that the photometric variations have been quite similar in all the bands, and that the B-V color index has been constant within +/-0.1 m despite the 1.5m change of the visual luminosity. The spectrum of GR 290 at the large maximum of 1992-94, was equivalent to late-B type, while, during 2002-2014, it has varied between WN10h-11h near the visual maxima to WN8h-9h at the luminosity minima. We have detected, during this same period, a clear anti-correlation between the visual luminosity, the strength of the HeII 4686 A emission line, the strength of the 4600-4700 A lines blend and the spectral type. From a model analysis of the spectra collected during the whole 2002-2014 period we find that the Rosseland radius R_{2/3}, changed between the minimum and maximum luminosity phases by a factor of 3, while T_eff varied between about 33,000 K and 23,000 K. The bolometric luminosity of the star was not constant, but increased by a factor of ~1.5 between minimum and maximum luminosity, in phase with the apparent luminosity variations. In the light of current evolutionary models of very massive stars, we find that GR 290 has evolved from a ~60 M_Sun progenitor star and should have an age of about 4 million years. We argue that it has left the LBV stage and is moving to a Wolf-Rayet stage of late nitrogen spectral type.
description: Accepted on The Astronomical Journal, 10 figures. Replaced because the previous uploaded file was that without the final small corrections requested by the referee
A multi-model ensemble approach for estimating saturated hydraulic conductivity of soils
Creators: name: Louis, Miguel Jean
Publisher: name: No Publisher Supplied
Year: 2022

description: Saturated hydraulic conductivity (Ksat) is an essential parameter for designing irrigation and drainage systems and a required input for hydrological models. Many models using a variety of input properties are available to predict Ksat, but predictions are notoriously poor. In this study, 42 existing models grouped as particle size-, water retention-, and image-based models were used to predict Ksat. Based on their performance, a subset of these models was combined through Bayesian Model Averaging (BMA) to generate multi-model ensembles of Ksat. The BMA technique results in a weighted average of probability density functions that is centered on the individual bias-corrected models. The weights produced by this method are equivalent to posterior probabilities of the models generating the predictions and reflect the models’ relative contributions to the final prediction. This method was applied on a dataset of 170 core samples collected as part of an international project (SOILSPACE) where soil physical parameters (sand, silt, clay, and organic matter contents and bulk density), soil hydraulic properties (Ksat, and water retention data) and 3D images were measured in each of the cores. The dataset was split into training (65%) and testing (35%) subsets. The former subset was used to generate eighteen multi-model combinations from BMA, among which five were selected as the best multi-model combinations. The image-based models accounted for more than 95% of the models constituting the multi-model combinations derived from BMA. This finding emphasizes the importance of the parameters derived from image processing in predicting Ksat. The coefficient of determination (R2) obtained for the best model member was 0.32, whereas for all selected multi-model combinations and the final BMA predictive model, the R2 values were greater than 0.70 and 0.60 for the training and testing subsets, respectively. Overall, predictions from BMA models were better than the best individual performing soil hydraulic model for the entire dataset.
Parameterized Machine Learning for High-Energy Physics
Creators: name: Baldi, Pierre
name: Cranmer, Kyle
name: Faucett, Taylor
name: Sadowski, Peter
name: Whiteson, Daniel
Publisher: name: arXiv
Year: 2016
Subjects: subject: High Energy Physics - Experiment (hep-ex)
subject: Machine Learning (cs.LG)
subject: High Energy Physics - Phenomenology (hep-ph)
subject: FOS: Physical sciences
subject: FOS: Computer and information sciences

description: We investigate a new structure for machine learning classifiers applied to problems in high-energy physics by expanding the inputs to include not only measured features but also physics parameters. The physics parameters represent a smoothly varying learning task, and the resulting parameterized classifier can smoothly interpolate between them and replace sets of classifiers trained at individual values. This simplifies the training process and gives improved performance at intermediate values, even for complex problems requiring deep learning. Applications include tools parameterized in terms of theoretical model parameters, such as the mass of a particle, which allow for a single network to provide improved discrimination across a range of masses. This concept is simple to implement and allows for optimized interpolatable results.
description: For submission to PRD
Loxotropa exsul Kieffer 1912
Creators: name: Notton, David G.
Publisher: name: Zenodo
Year: 2014
Subjects: Biodiversity
Taxonomy
Animalia
Arthropoda
Insecta
Hymenoptera
Diapriidae
Loxotropa
Loxotropa exsul

description: Loxotropa exsul Kieffer, 1912a: 70.
Valid name
Basalys exsul (Kieffer, 1912).
Summary of types
Syntype ♀ BMNH number 9.738. Syntype ♂.
Primary type data
22; Silhouette, ‘08/ Seychelles Exp.; Loxotropa / exsul/ J.J.Kieffer/ type; Type; Type/ H.T.; Seychelle Islands./ Percy Sladen Trust/ Expedition./ 1913-170 (syntype ♀). 20; 20/ Silhouette, ‘08/ Seychelles Exp.; Loxotropa / exsul/ J.J.Kieffer/ paratype; Seychelle Islands./ Percy Sladen Trust/ Expedition./ 1913- 170 (syntype ♂).
Type locality
Seychelles, Silhouette, Mare aux Cochons; Mahé, Slopes of Morne Seychellois.
Remarks
Two syntypes were found. The holotype and paratype labels are erroneous, as Kieffer did not designate a holotype. The male syntype is mounted on a card point and is entire; the female syntype is mounted on a card point and the left flagellum, gaster and tip of the right hind wing are missing.
description: Published as part of Notton, David G., 2014, A catalogue of the types of Diapriinae (Hymenoptera, Diapriidae) at the Natural History Museum, London, pp. 1-123 in European Journal of Taxonomy 75 on page 76, DOI: 10.5852/ejt.2014.75, http://zenodo.org/record/3862773
Discrete optics in optomechanical waveguide arrays
Creators: name: Xu, Xinbiao
name: Ren, Linhao
name: Shi, Lei
name: Zhang, Xinliang
Publisher: name: arXiv
Year: 2020
Subjects: subject: Optics (physics.optics)
subject: FOS: Physical sciences

description: Propagation properties of light in optomechanical waveguides arrays (OMWAs) are studied for the first time, to the best of our knowledge. Due to the strong mechanical Kerr effect, the optical self-focusing and self-defocusing phenomena can be realized in the arrays of subwavelength dielectric optomechanical waveguides with the milliwatt-level incident powers and micrometer-level lengths. Compared with the conventional nonlinear waveguide arrays, the required incident powers and lengths of the waveguides are decreased by five orders of magnitude and one order of magnitude, respectively. Furthermore, by adjusting the deformation of the nanowaveguides through a control light, the propagation path of the signal light in the OMWA can be engineered, which could be used as a splitting-ratio-tunable beam splitter. This work provides a new platform for discrete optics and broadens the application of integrated optomechanics.
Tracking Performance of Online Stochastic Learners
Creators: name: Vlaski, Stefan
name: Rizk, Elsa
name: Sayed, Ali H.
Publisher: name: arXiv
Year: 2020
Subjects: subject: Optimization and Control (math.OC)
subject: Machine Learning (cs.LG)
subject: Multiagent Systems (cs.MA)
subject: Signal Processing (eess.SP)
subject: Machine Learning (stat.ML)
subject: FOS: Mathematics
subject: FOS: Computer and information sciences
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: The utilization of online stochastic algorithms is popular in large-scale learning settings due to their ability to compute updates on the fly, without the need to store and process data in large batches. When a constant step-size is used, these algorithms also have the ability to adapt to drifts in problem parameters, such as data or model properties, and track the optimal solution with reasonable accuracy. Building on analogies with the study of adaptive filters, we establish a link between steady-state performance derived under stationarity assumptions and the tracking performance of online learners under random walk models. The link allows us to infer the tracking performance from steady-state expressions directly and almost by inspection.
Design of Adaptive Sliding Mode Controller for Anti-lock Braking System Using Eddy Current
Creators: name: Chernet, Abel
Publisher: name: National Academic Digital Repository of Ethiopia
Year: 2021
Subjects: Eddy Current Brake, Antilock Braking System, Sliding Mode Observer, Adaptive Sliding Mode Control

description: Braking mechanism is an important part of automobiles as ability to slow down or stop
 a moving vehicle in least amount of time and controlled manner. As the speed of vehicle
 increases, stable and more powerful brake system is required to ensure the safety of
 vehicle and passengers. For high speed braking, contactless eddy current brake (ECB)
 is developed and it can be applied to antilock brake system (ABS). ABS is safety system
 in vehicle that prevent wheel lockup during braking and it is required to achieve
 optimum vehicle deceleration rate without losing stability and steerability of vehicle.
 Designing ABS is challenging task which is highly nonlinear and time-varying system.
 Because of nonlinearity of vehicle braking system, robust control system with faster
 response is needed with little loss of traction and steering ability in a varying driving
 condition.
 In this thesis, from existing robust control mechanism, adaptive sliding mode controller
 for antilock braking system using eddy current brake is presented on sloped road of
 downhill and uphill with sliding mode observer (SMO). SMO is designed to estimate
 vehicle velocity. To control the system based on wheel slip, half car model is developed
 by considering uncertainty of road slope and aerodynamic drag force. Based on the
 designed control algorithm, vehicle ABS control system model using eddy current
 brake is built with MATLAB Simulink Toolbox. The designed controller for ABS using
 eddy current evaluated under dry asphalt, wet asphalt and snow road types with three
 high initial vehicle velocities. The system responses are compared in terms of braking
 time and stopping distance. As the numerical simulation shows, the stopping distance
 for downhill on dry asphalt obtained from adaptive SMC and SMC for ABS using eddy
 current with initial velocity of 100𝑘𝑚/ℎ𝑟 are 33.1542𝑚 and 34.2533𝑚, respectively.
 In the same road type and initial velocity, the stopping distance for uphill motion
 obtained from adaptive SMC and SMC for ABS using eddy current are 27.808𝑚 and
 29.1196𝑚, respectively. Also, for initial vehicle velocity of 100𝑘𝑚/ℎ𝑟 on dry asphalt
 of downhill and uphill motion, the braking time of adaptive SMC for ABS using eddy
 current is 0.164𝑠𝑒𝑐 and 0.2613𝑠𝑒𝑐 faster than SMC, respectively. Finally, the
 proposed adaptive SMC for ABS using eddy current achieves a robust control system,
 minimum braking time and minimum stopping distance than SMC for all road types
Quantum correlations under the effect of a thermal environment in a triangular optomechanical cavity
Creators: name: Bir, Oumayma El
name: Baz, Morad El
Publisher: name: arXiv
Year: 2020
Subjects: subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: We quantify the stationary correlations between the optical mode and the relative mechanical mode of a ring cavity composed of a fixed mirror and two movable ones in a triangular design. The bipartite covariance matrix, is used to evaluate the logarithmic negativity as a measure of entanglement, the Gaussian quantum discord as a measure of total quantum correlations and the mutual information as a measure of the overall correlations. The behaviour of these quantities with respect to the environment's temperature as well as other parameters such as the laser pumping power and mass of the movable mirrors is discussed.
description: 15 pages, 7 figures
Semiclassical bifurcations and topological phase transitions in a one-dimensional lattice of coupled Lipkin-Meshkov-Glick models
Creators: name: Sorokin, A. V.
name: Alcalde, M. Aparicio
name: Bastidas, V. M.
name: Engelhardt, G.
name: Angelakis, D. G.
name: Brandes, T.
Publisher: name: arXiv
Year: 2016
Subjects: subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: In this work we study a one-dimensional lattice of Lipkin-Meshkov-Glick models with alternating couplings between nearest-neighbors sites, which resembles the Su-Schrieffer-Heeger model. Typical properties of the underlying models are present in our semiclassical-topological hybrid system, allowing us to investigate an interplay between semiclassical bifurcations at mean-field level and topological phases. Our results show that bifurcations of the energy landscape lead to diverse ordered quantum phases. Furthermore, the study of the quantum fluctuations around the mean field solution reveals the existence of nontrivial topological phases. These are characterized by the emergence of localized states at the edges of a chain with open boundary conditions.
description: 10 pages, 3 figures, 2 tables
Successive Eigenvalue Removal for Multi-Soliton Spectral Amplitude Estimation
Creators: name: Span, Alexander
name: Aref, Vahid
name: Buelow, Henning
name: Brink, Stephan ten
Publisher: name: arXiv
Year: 2020
Subjects: subject: Information Theory (cs.IT)
subject: Systems and Control (eess.SY)
subject: Signal Processing (eess.SP)
subject: FOS: Computer and information sciences
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: Optical nonlinear Fourier transform-based communication systems require an accurate estimation of a signal's nonlinear spectrum, computed usually by piecewise approximation methods on the signal samples. We propose an algorithm, named successive eigenvalue removal, to improve the spectrum estimation of a multi-soliton pulse. It exploits a property of the Darboux transform that allows removing eigenvalues from the nonlinear spectrum. This results in a smaller pulse duration and smaller bandwidth. The spectral coefficients are estimated successively after removing the eigenvalues of a signal. As a beneficial application, we show that the algorithm decreases the computational complexity by iteratively reducing the pulse duration.
description: 7 pages; Accepted for publication in IEEE/OSA Journal of Lightwave Technology
The Marshall-Olkin extended generalized Gompertz distribution
Creators: name: Benkhelifa, Lazhar
Publisher: name: arXiv
Year: 2016
Subjects: subject: Statistics Theory (math.ST)
subject: FOS: Mathematics

description: A new four-parameter model called the Marshall-Olkin extended generalized Gompertz distribution is introduced. Its hazard rate function can be constant, increasing, decreasing, upside-down bathtub or bathtub-shaped depending on its parameters. Some mathematical properties of this model such as expansion for the density function, moments, moment generating function, quantile function, mean deviations, mean residual life, order statistics and Rényi entropy are derived. The maximum likelihood technique is used to estimate the unknown model parameters and the observed information matrix is determined. The applicability of the proposed model is shown by means of a real data set.
Experimental demonstration of a rapid sweep-tuned spectrum analyzer with temporal resolution based on a spin-torque nano-oscillator
Creators: name: Litvinenko, A.
name: Iurchuk, V.
name: Sethi, P.
name: Louis, S.
name: Tiberkevich, V.
name: Li, J.
name: Jenkins, A.
name: Ferreira, R.
name: Dieny, B.
name: Slavin, A. N.
name: Ebels, U.
Publisher: name: arXiv
Year: 2020
Subjects: subject: Applied Physics (physics.app-ph)
subject: Signal Processing (eess.SP)
subject: FOS: Physical sciences
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: It is demonstrated experimentally that a spin-torque nano-oscillator (STNO) rapidly sweep-tuned by a bias voltage can be used for time-resolved spectrum analysis of frequency-manipulated microwave signals with complicated multi-tone spectra. The critical reduction in the time of spectrum analysis comes from the naturally small time constants of a nano-sized STNO (1-100 ns). The demonstration is performed on a vortex-state STNO generating in a frequency range around 300 MHz, with frequency down-conversion and matched filtering used for signal processing. It is shown that this STNO-based spectrum analyzer can perform analysis of multi-tone signals, and signals with rapidly changing frequency components with time resolution on a $μ$s time scale and frequency resolution limited only by the 'bandwidth' theorem. The proposed concept of rapid time-resolved spectrum analysis can be implemented with any type of micro and nano-scale frequency-swept oscillators having low time constants and high oscillation frequency.
Multi-Beam Graded Dielectric Lens Antenna from Multi-Material 3D Printing
Creators: name: Giddens, Henry
name: Hao, Yang
Publisher: name: arXiv
Year: 2020
Subjects: subject: Applied Physics (physics.app-ph)
subject: FOS: Physical sciences

description: Modern communication systems will require antennas with adaptive functionality which are able to modify their performance based on the requirements of the channel. For example, mobile ad-hoc networks need directive antennas that are able to radiate in any direction across the 360° azimuth plane. Conformal antennas that can be simply operated to have multi-functional performance characteristics are therefore of interest. In this paper, we present a gradient-index lens antenna designed to radiate with a 45° beamwidth across 8 different sectors. When fed by a simple switched feeding network, the lens is able to provide 360° azimuth coverage in 45° segments. Further analysis of the radiation patterns shows how two distinct multi-beam patterns can be produced from simple feed networks and simultaneous excitation of each feeding element. The proposed lens is fabricated by multi-material 3D printing. The final lens radiates with a gain of 8.5 dBi when a single sector is excited, and with a maximum gain of 5.9 dBi in multi-beam mode. Finally, it is shown how the lens can also radiate omnidirectionally when optimised phase and amplitude weightings are applied to each port.
graphVizdb: A Scalable Platform for Interactive Large Graph Visualization
Creators: name: Bikakis, Nikos
name: Liagouris, John
name: Krommyda, Maria
name: Papastefanatos, George
name: Sellis, Timos
Publisher: name: arXiv
Year: 2016
Subjects: subject: Human-Computer Interaction (cs.HC)
subject: Databases (cs.DB)
subject: Data Structures and Algorithms (cs.DS)
subject: FOS: Computer and information sciences
subject: E.1; H.2.8; H.5.2; H.4
subject: 97R50, 68P05, 68P15

description: We present a novel platform for the interactive visualization of very large graphs. The platform enables the user to interact with the visualized graph in a way that is very similar to the exploration of maps at multiple levels. Our approach involves an offline preprocessing phase that builds the layout of the graph by assigning coordinates to its nodes with respect to a Euclidean plane. The respective points are indexed with a spatial data structure, i.e., an R-tree, and stored in a database. Multiple abstraction layers of the graph based on various criteria are also created offline, and they are indexed similarly so that the user can explore the dataset at different levels of granularity, depending on her particular needs. Then, our system translates user operations into simple and very efficient spatial operations (i.e., window queries) in the backend. This technique allows for a fine-grained access to very large graphs with extremely low latency and memory requirements and without compromising the functionality of the tool. Our web-based prototype supports three main operations: (1) interactive navigation, (2) multi-level exploration, and (3) keyword search on the graph metadata.
description: 32nd IEEE International Conference on Data Engineering (ICDE '16)
Coupling between waveguides and microresonators: the local approach
Creators: name: Vitullo, Dashiell L. P.
name: Zaki, Sajid
name: Jones, D. E.
name: Sumetsky, M.
name: Brodsky, Michael
Publisher: name: arXiv
Year: 2020
Subjects: subject: Optics (physics.optics)
subject: FOS: Physical sciences

description: Coupling between optical microresonators and waveguides is a critical characteristic of resonant photonic devices with complex behavior that is not well understood. When the characteristic variation length of the microresonator modes is much larger than the waveguide width, local coupling parameters emerge that are independent of the resonator mode distributions and offer a simplified description of coupling behavior. We develop a robust numerical-fitting-based methodology for experimental determination of the local coupling parameters in all coupling regimes and demonstrate their characterization along a microfiber waveguide coupled to an elongated bottle microresonator.
description: 7 pages and 3 figures. Version 3 is substantially revised and reformatted