# R. Wang - KIAA, Peking

## Contact Details

NameR. Wang |
||

AffiliationKIAA, Peking |
||

CountryChina |
||

## Pubs By Year |
||

## External Links |
||

## Pub CategoriesPhysics - Materials Science (8) Physics - Instrumentation and Detectors (8) Computer Science - Computer Vision and Pattern Recognition (6) Physics - Mesoscopic Systems and Quantum Hall Effect (5) Instrumentation and Methods for Astrophysics (5) High Energy Physics - Experiment (4) High Energy Physics - Phenomenology (4) Mathematics - Probability (3) Solar and Stellar Astrophysics (3) Mathematics - Information Theory (3) Nuclear Experiment (3) Computer Science - Information Theory (3) Physics - Superconductivity (3) Quantum Physics (2) Computer Science - Distributed; Parallel; and Cluster Computing (2) Computer Science - Learning (2) Physics - Strongly Correlated Electrons (2) Nuclear Theory (2) Astrophysics of Galaxies (1) Mathematics - Representation Theory (1) Physics - Disordered Systems and Neural Networks (1) Computer Science - Multimedia (1) Physics - Space Physics (1) Statistics - Machine Learning (1) Mathematics - Numerical Analysis (1) Physics - Other (1) Physics - Optics (1) Computer Science - Neural and Evolutionary Computing (1) Mathematics - Combinatorics (1) |

## Publications Authored By R. Wang

We show by first-principles calculations that the Dirac nodal-line semimetal phase can co-exist with the ferromagnetic order at room temperature in chromium dioxide, a widely used material in magnetic tape applications, under small tensile hydrostatic strains. An ideally flat Dirac nodal ring close to the Fermi energy is placed in the reflection-invariant boundary of the Brillouin zone perpendicular to the magnetic order, and is topologically protected by the unitary mirror symmetry of the magnetic group $D_{4h}(C_{4h})$, which quantizes the corresponding Berry phase into integer multiples of $\pi$. The symmetry-dependent topological stability is demonstrated through showing that only the topologically protected nodal ring can persistently exist under small anisotropic stains preservingthe symmetry $D_{4h}(C_{4h})$, while the other seeming band touching points are generically gapped. Read More

Parity anomaly is a long-studied topic in high energy physics, which predicts that an infinitesimal mass term of Dirac fermion breaks the parity symmetry. In condensed matter physics, the parity anomaly results in the half-quantized anomalous Hall conductance in the Zeeman-doped topological surface state, which is characterized by Chern number $C=\pm1/2$. Here, we propose a different realization of the parity anomaly in the topological surface state after it develops the excitonic instability. Read More

In the light of latest data of neutrino oscillation experiments, we carry out a systematic investigation on the texture structures of Majorana neutrino mass matrix $M_{\nu}$, which contain one vanishing neutrino mass and an equality between two matrix elements. Among 15 logically possible patterns, it is found that for norm order ($m_{3}>m_{2}>m_{1}=0$) of neutrino masses only five of them are compatible with recent experimental data at the $3\sigma$ level, while for inverted order ($m_{2}>m_{1}>m_{3}=0$) ten patterns is phenomenologically allowed. In the numerical analysis, we perform a scan over the parameter space of all viable patterns to get a large sample of scattering points. Read More

We establish a relation between the equation of state (EOS) of nuclear matter and the fourth-order symmetry energy $a_{\rm{sym,4}}(A)$ of finite nuclei in a semi-empirical nuclear mass formula by self-consistently considering the bulk, surface and Coulomb contributions to the nuclear mass. Such a relation allows us to extract information on nuclear matter fourth-order symmetry energy $E_{\rm{sym,4}}(\rho_0)$ at normal nuclear density $\rho_0$ from analyzing nuclear mass data. Based on the recent precise extraction of $a_{\rm{sym,4}}(A)$ via the double difference of the "experimental" symmetry energy extracted from nuclear masses, for the first time, we estimate a value of $E_{\rm{sym,4}}(\rho_0) = 20. Read More

Monocular visual odometry (VO), which incrementally estimates camera poses and local 3D maps, is the key component of monocular simultaneously localization and mapping (SLAM). The two main branches of the VO family, namely the feature-based and the so called direct methods, have seen tremendous improvements on accuracy, robustness and efficiency, and have gained exponential popularity over recent years. Nevertheless, no comprehensive evaluation between them has been performed. Read More

Caching popular contents at mobile devices, assisted by device-to-device (D2D) communications, is considered as a promising technique for mobile content delivery. It can effectively reduce backhaul traffic and service cost, as well as improving the spectrum efficiency. However, due to the selfishness of mobile users, incentive mechanisms will be needed to motivate device caching. Read More

Scotogenic models were proposed by some authors where the tiny Dirac neutrino mass terms arise at loop level. In prototype models, two $ad$ $hoc$ discrete symmetries were introduced, one is responsible for the absence of SM Yukawa couplings $\bar{\nu}_L\nu_R\overline{\phi^0}$ and the other for the stability of intermediate fields as dark matter(DM). In this paper, we construct the one-loop and two-loop scotogenic models for Dirac neutrino mass generation in the context of $U(1)_{B-L}$ extensions of standard model. Read More

We in this paper solve the problem of high-quality automatic real-time background cut for 720p portrait videos. We first handle the background ambiguity issue in semantic segmentation by proposing a global background attenuation model. A spatial-temporal refinement network is developed to further refine the segmentation errors in each frame and ensure temporal coherence in the segmentation map. Read More

The goal of this paper is to achieve a computational model and corresponding efficient algorithm for obtaining a sparse representation of the fitting surface to the given scattered data. The basic idea of the model is to utilize the principal shift invariant (PSI) space and the l1 norm minimization. In order to obtain different sparsity of the approximation solution, the problem is represented as a multilevel LASSO (MLASSO) model with different regularization parameters. Read More

**Authors:**H. L. Xiao, W. Hajdas, P. Socha, R. Marcinkowski, B. B. Wu, T. W. Bao, J. Y. Chai, Y. W. Dong, M. N. Kong, L. Li, Z. H. Li, J. T. Liu, H. L. Shi, L. M. Song, J. C. Sun, R. J. Wang, Y. H. Wang, X. Wen, S. L. Xiong, J. Zhang, L. Y. Zhang, S. N. Zhang, X. F. Zhang, Y. J. Zhang, F. Cadoux, M. Pohl, X. Wu, T. Batsch, D. Rybka, A. Rutczynska, J. Szabelski, A. Zwolinska, N. Gauvin, N. Produit, T. Bernasconi

POLAR is space-borne detector designed for a precise measurement of gamma-ray polarization of the prompt emissions of Gamma-Ray Bursts in the energy range 50 keV - 500 keV. POLAR is a compact Compton polarimeter consisting of 40$\times$ 40 plastic scintillator bars read out by 25 multi-anode PMTs. In May 2015, we performed a series of tests of the POLAR flight model with 100\% polarized x-rays beams at the European Synchrotron Radiation Facility beam-line ID11 aming to study thresholds, crosstalk between channels and responses of POLAR flight model to polarized X-ray beams. Read More

The reliable production of two-dimensional (2D) crystals are essential for exploring new science and implementing novel technologies in the 2D limit. However, ongoing efforts are limited by the vague potential in scaling-up, restrictions in growth substrates and conditions, small sizes and/or instability of synthesized materials. Here we report the fabrication of large-area, high-quality 2D tellurium (termed tellurene) by a substrate-free solution process. Read More

We investigate the coronal and interplanetary evolution of a coronal mass ejection (CME) launched on 2010 September 4 from a source region linking two active regions (ARs) 11101 and 11103, using extreme ultraviolet imaging, magnetogram, white-light and in situ observations from SDO, STEREO, SOHO, VEX and Wind. A potential-field source-surface model is employed to examine the configuration of the coronal magnetic field surrounding the source region. The graduated cylindrical shell model and a triangulation method are applied to determine the kinematics of the CME in the corona and interplanetary space. Read More

We propose a novel training procedure for Generative Adversarial Networks (GANs) to improve stability and performance by using an adaptive hinge loss objective function. We estimate the appropriate hinge loss margin with the expected energy of the target distribution, and derive both a principled criterion for updating the margin and an approximate convergence measure. The resulting training procedure is simple yet robust on a diverse set of datasets. Read More

In the recent years, the notion of mixability has been developed with applications to optimal transportation, quantitative finance and operations research. An $n$-tuple of distributions is said to be jointly mixable if there exist $n$ random variables following these distributions and adding up to a constant, called center, with probability one. When the $n$ distributions are identical, we speak of complete mixability. Read More

Silicene offers an ideal platform for exploring the phase transition due to strong spin-orbit interaction and its unique structure with strong tunability. With applied electric field and circularly polarized light, siliccene is predicted to exhibit rich phases. We propose that these intricate phase transitions can be detected by measuring the bulk Ruderman-Kittel-Kasuya-Yosida (RKKY) interaction. Read More

We apply the theory of optimal control to the dynamics of two "Gmon" qubits, with the goal of preparing a desired entangled ground state from an initial unentangled one. Given an initial state, a target state, and a Hamiltonian with a set of permissible controls, can we reach the target state with coherent quantum evolution and, in that case, what is the minimum time required? The adiabatic theorem provides a far from optimal solution in the presence of a spectral gap. Optimal control yields the fastest possible way of reaching the target state and helps identify unreachable states. Read More

**Authors:**F. P. An, A. B. Balantekin, H. R. Band, M. Bishai, S. Blyth, D. Cao, G. F. Cao, J. Cao, Y. L. Chan, J. F. Chang, Y. Chang, H. S. Chen, Q. Y. Chen, S. M. Chen, Y. X. Chen, Y. Chen, J. Cheng, Z. K. Cheng, J. J. Cherwinka, M. C. Chu, A. Chukanov, J. P. Cummings, Y. Y. Ding, M. V. Diwan, M. Dolgareva, J. Dove, D. A. Dwyer, W. R. Edwards, R. Gill, M. Gonchar, G. H. Gong, H. Gong, M. Grassi, W. Q. Gu, L. Guo, X. H. Guo, Y. H. Guo, Z. Guo, R. W. Hackenburg, S. Hans, M. He, K. M. Heeger, Y. K. Heng, A. Higuera, Y. B. Hsiung, B. Z. Hu, T. Hu, E. C. Huang, H. X. Huang, X. T. Huang, Y. B. Huang, P. Huber, W. Huo, G. Hussain, D. E. Jaffe, K. L. Jen, X. P. Ji, X. L. Ji, J. B. Jiao, R. A. Johnson, D. Jones, L. Kang, S. H. Kettell, A. Khan, S. Kohn, M. Kramer, K. K. Kwan, M. W. Kwok, T. J. Langford, K. Lau, L. Lebanowski, J. Lee, J. H. C. Lee, R. T. Lei, R. Leitner, J. K. C. Leung, C. Li, D. J. Li, F. Li, G. S. Li, Q. J. Li, S. Li, S. C. Li, W. D. Li, X. N. Li, X. Q. Li, Y. F. Li, Z. B. Li, H. Liang, C. J. Lin, G. L. Lin, S. Lin, S. K. Lin, Y. -C. Lin, J. J. Ling, J. M. Link, L. Littenberg, B. R. Littlejohn, J. L. Liu, J. C. Liu, C. W. Loh, C. Lu, H. Q. Lu, J. S. Lu, K. B. Luk, X. Y. Ma, X. B. Ma, Y. Q. Ma, Y. Malyshkin, D. A. Martinez Caicedo, K. T. McDonald, R. D. McKeown, I. Mitchell, Y. Nakajima, J. Napolitano, D. Naumov, E. Naumova, H. Y. Ngai, J. P. Ochoa-Ricoux, A. Olshevskiy, H. -R. Pan, J. Park, S. Patton, V. Pec, J. C. Peng, L. Pinsky, C. S. J. Pun, F. Z. Qi, M. Qi, X. Qian, R. M. Qiu, N. Raper, J. Ren, R. Rosero, B. Roskovec, X. C. Ruan, H. Steiner, P. Stoler, J. L. Sun, W. Tang, D. Taychenachev, K. Treskov, K. V. Tsang, C. E. Tull, N. Viaux, B. Viren, V. Vorobel, C. H. Wang, M. Wang, N. Y. Wang, R. G. Wang, W. Wang, X. Wang, Y. F. Wang, Z. Wang, Z. Wang, Z. M. Wang, H. Y. Wei, L. J. Wen, K. Whisnant, C. G. White, L. Whitehead, T. Wise, H. L. H. Wong, S. C. F. Wong, E. Worcester, C. -H. Wu, Q. Wu, W. J. Wu, D. M. Xia, J. K. Xia, Z. Z. Xing, J. L. Xu, Y. Xu, T. Xue, C. G. Yang, H. Yang, L. Yang, M. S. Yang, M. T. Yang, Y. Z. Yang, M. Ye, Z. Ye, M. Yeh, B. L. Young, Z. Y. Yu, S. Zeng, L. Zhan, C. Zhang, C. C. Zhang, H. H. Zhang, J. W. Zhang, Q. M. Zhang, R. Zhang, X. T. Zhang, Y. M. Zhang, Y. X. Zhang, Y. M. Zhang, Z. J. Zhang, Z. Y. Zhang, Z. P. Zhang, J. Zhao, L. Zhou, H. L. Zhuang, J. H. Zou

The Daya Bay experiment has observed correlations between reactor core fuel evolution and changes in the reactor antineutrino flux and energy spectrum. Four antineutrino detectors in two experimental halls were used to identify 2.2 million inverse beta decays (IBDs) over 1230 days spanning multiple fuel cycles for each of six 2. Read More

**Authors:**B. J. Mount, S. Hans, R. Rosero, M. Yeh, C. Chan, R. J. Gaitskell, D. Q. Huang, J. Makkinje, D. C. Malling, M. Pangilinan, C. A. Rhyne, W. C. Taylor, J. R. Verbus, Y. D. Kim, H. S. Lee, J. Lee, D. S. Leonard, J. Li, J. Belle, A. Cottle, W. H. Lippincott, D. J. Markley, T. J. Martin, M. Sarychev, T. E. Tope, M. Utes, R. Wang, I. Young, H. M. Araújo, A. J. Bailey, D. Bauer, D. Colling, A. Currie, S. Fayer, F. Froborg, S. Greenwood, W. G. Jones, V. Kasey, M. Khaleeq, I. Olcina, B. López Paredes, A. Richards, T. J. Sumner, A. Tomás, A. Vacheret, P. Brás, A. Lindote, M. I. Lopes, F. Neves, J. P. Rodrigues, C. Silva, V. N. Solovov, M. J. Barry, A. Cole, A. Dobi, W. R. Edwards, C. H. Faham, S. Fiorucci, N. J. Gantos, V. M. Gehman, M. G. D. Gilchriese, K. Hanzel, M. D. Hoff, K. Kamdin, K. T. Lesko, C. T. McConnell, K. O'Sullivan, K. C. Oliver-Mallory, S. J. Patton, J. S. Saba, P. Sorensen, K. J. Thomas, C. E. Tull, W. L. Waldron, M. S. Witherell, A. Bernstein, K. Kazkaz, J. Xu, D. Yu. Akimov, A. I. Bolozdynya, A. V. Khromov, A. M. Konovalov, A. V. Kumpan, V. V. Sosnovtsev, C. E. Dahl, D. Temples, M. C. Carmona-Benitez, L. de Viveiros, D. S. Akerib, H. Auyeung, T. P. Biesiadzinski, M. Breidenbach, R. Bramante, R. Conley, W. W. Craddock, A. Fan, A. Hau, C. M. Ignarra, W. Ji, H. J. Krebs, R. Linehan, C. Lee, S. Luitz, E. Mizrachi, M. E. Monzani, F. G. O'Neill, S. Pierson, M. Racine, B. N. Ratcliff, G. W. Shutt, T. A. Shutt, K. Skarpaas, K. Stifter, W. H. To, J. Va'vra, T. J. Whitis, W. J. Wisniewski, X. Bai, R. Bunker, R. Coughlen, C. Hjemfelt, R. Leonard, E. H. Miller, E. Morrison, J. Reichenbacher, R. W. Schnee, M. R. Stark, K. Sundarnath, D. R. Tiedt, M. Timalsina, P. Bauer, B. Carlson, M. Horn, M. Johnson, J. Keefner, C. Maupin, D. J. Taylor, S. Balashov, P. Ford, V. Francis, E. Holtom, A. Khazov, A. Kaboth, P. Majewski, J. A. Nikkel, J. O'Dell, R. M. Preece, M. G. D. van der Grinten, S. D. Worm, R. L. Mannino, T. M. Stiegler, P. A. Terman, R. C. Webb, C. Levy, J. Mock, M. Szydagis, J. K. Busenitz, M. Elnimr, J. Y-K. Hor, Y. Meng, A. Piepke, I. Stancu, L. Kreczko, B. Krikler, B. Penning, E. P. Bernard, R. G. Jacobsen, D. N. McKinsey, R. Watson, J. E. Cutter, S. El-Jurf, R. M. Gerhard, D. Hemer, S. Hillbrand, B. Holbrook, B. G. Lenardo, A. G. Manalaysay, J. A. Morad, S. Stephenson, J. A. Thomson, M. Tripathi, S. Uvarov, S. J. Haselschwardt, S. Kyre, C. Nehrkorn, H. N. Nelson, M. Solmaz, D. T. White, M. Cascella, J. E. Y. Dobson, C. Ghag, X. Liu, L. Manenti, L. Reichhart, S. Shaw, U. Utku, P. Beltrame, T. J. R. Davison, M. F. Marzioni, A. St. J. Murphy, A. Nilima, B. Boxer, S. Burdin, A. Greenall, S. Powell, H. J. Rose, P. Sutcliffe, J. Balajthy, T. K. Edberg, C. R. Hall, J. S. Silk, S. Hertel, C. W. Akerlof, M. Arthurs, W. Lorenzon, K. Pushkin, M. Schubnell, K. E. Boast, C. Carels, T. Fruth, H. Kraus, F. -T. Liao, J. Lin, P. R. Scovell, E. Druszkiewicz, D. Khaitan, M. Koyuncu, W. Skulski, F. L. H. Wolfs, J. Yin, E. V. Korolkova, V. A. Kudryavtsev, P. Rossiter, D. Woodward, A. A. Chiller, C. Chiller, D. -M. Mei, L. Wang, W. -Z. Wei, M. While, C. Zhang, S. K. Alsum, T. Benson, D. L. Carlsmith, J. J. Cherwinka, S. Dasu, G. Gregerson, B. Gomber, A. Pagac, K. J. Palladino, C. O. Vuosalo, Q. Xiao, J. H. Buckley, V. V. Bugaev, M. A. Olevitch, E. M. Boulton, W. T. Emmet, T. W. Hurteau, N. A. Larsen, E. K. Pease, B. P. Tennyson, L. Tvrznikova

In this Technical Design Report (TDR) we describe the LZ detector to be built at the Sanford Underground Research Facility (SURF). The LZ dark matter experiment is designed to achieve sensitivity to a WIMP-nucleon spin-independent cross section of three times ten to the negative forty-eighth square centimeters. Read More

In this paper, we investigate the Casacore Table Data System (CTDS) used in the casacore and CASA libraries, and methods to parallelize it. CTDS provides a storage manager plugin mechanism for third-party devel- opers to design and implement their own CTDS storage managers. Hav- ing this in mind, we looked into various storage backend techniques that can possibly enable parallel I/O for CTDS by implementing new storage managers. Read More

In this letter, we demonstrate a novel diffraction-free Bloch surface wave (DF-BSW) sustained on all-dielectric multilayers that does not diffract after being passed through three obstacles or across a single mode fiber. It can propagate in a straight line for distances longer than 110 {\mu}m at a wavelength of 633 nm and could be applied as an in-plane optical virtual probe, both in air and in an aqueous environment. The ability to be used in water, its long diffraction-free distance, and its tolerance to multiple obstacles make this DF-BSW ideal for certain applications in areas such as the biological sciences, where many measurements are made on glass surfaces or for which an aqueous environment is required, and for high-speed interconnections between chips, where low loss is necessary. Read More

We report the results of our classification-based machine translation model, built upon the framework of a recurrent neural network using gated recurrent units. Unlike other RNN models that attempt to maximize the overall conditional log probability of sentences against sentences, our model focuses a classification approach of estimating the conditional probability of the next word given the input sequence. This simpler approach using GRUs was hoped to be comparable with more complicated RNN models, but achievements in this implementation were modest and there remains a lot of room for improving this classification approach. Read More

The search for new superconducting compounds with higher critical temperatures $T_{c}^{\prime}$s has long been the very heart of scientific research on superconductivity. It took 75 years for scientists to push the $T_{c}$ above liquid nitrogen boiling temperature since the discovery of superconductivity. So far, the record high $T_{c}$ of about 130 K at atmosphere pressure was reported in some multilayer Hg(Tl)-Ba-Ca-Cu-O compounds. Read More

Continuing earlier investigations of restricted lattice walks in $\mathbb{N}^3$, we take a closer look at the models with infinite associated groups. We find that up to isomorphism, only 12 different infinite groups appear, and we establish a connection between the group of a model and the model being Hadamard. Read More

Motivated by the exploration of bipolaronic superconductivity in conducting polymers, we examine such a possibility in the starting member of $p$-oligophenyls $-$ $p$-terphenyl with three phenyl rings, belonging to the family of conducting polymer polyparaphenylene. The formation of bipolarons is identified from Raman scattering measurements. Both the dc and ac magnetic susceptibility measurements reveal that $p$-terphenyl is a type-II superconductor with a critical temperature of 7. Read More

Organic compounds are promising candidates to exhibit high temperature or room temperature superconductivity. However, the critical temperatures of organic superconductors are bounded to 38 K. By doping potassium into $p$-terphenyl consisting of C and H elements with three phenyl rings connected by single C-C bond in para position, we find that this material can have a superconducting phase with the critical temperature of 43 K. Read More

Yield ratios of identified hadrons observed in high multiplicity p+p and p+Pb collisions at LHC show remarkable similarity with those in Pb+Pb collisions, indicating some important and universal underlying dynamics in hadron production for different quark gluon final states. We use the quark combination model to explain the data of yield ratios in these three collision systems. The observed $p/\pi$ and $\Lambda/K_s^0$ can be reproduced simultaneously by quark combination, and these two ratios reflect the rate of baryon production at hadronization which is the same in light sector and strange sector and is roughly constant in p+p, p+Pb and Pb+Pb collision systems over three orders of magnitude in charged particle multiplicity. Read More

In this paper, we present a novel real-time MIMO channel sounder for 28 GHz. Until now, the common practice to investigate the directional characteristics of millimeter-wave channels has been using a rotating horn antenna. The sounder presented here is capable of performing horizontal and vertical beam steering with the help of phased arrays. Read More

Recent learning-based super-resolution (SR) methods often focus on the dictionary learning or network training. In this paper, we detailedly discuss a new SR framework based on local classification instead of traditional dictionary learning. The proposed efficient and extendible SR framework is named as local patch classification (LPC) based framework. Read More

In this paper, we propose an efficient super-resolution (SR) method based on deep convolutional neural network (CNN), namely gradual upsampling network (GUN). Recent CNN based SR methods either preliminarily magnify the low resolution (LR) input to high resolution (HR) and then reconstruct the HR input, or directly reconstruct the LR input and then recover the HR result at the last layer. The proposed GUN utilizes a gradual process instead of these two kinds of frameworks. Read More

**Authors:**X. F. Zhang, W. Hajdas, H. L. Xiao, X. Wen, B. B. Wu, T. W. Bao, T. Batsch, T. Bernasconi, F. Cadoux, I. Cernuda, J. Y. Chai, Y. W. Dong, N. Gauvin, J. J. He, M. Kole, M. N. Kong, C. Lechanoine-Leluc, L. Li, Z. H. Li, J. T. Liu, X. Liu, R. Marcinkowski, S. Orsi, M. Pohl, D. Rapin, D. Rybka, H. L. Shi, L. M. Song, J. C. Sun, J. Szabelski, R. J. Wang, Y. H. Wang, X. Wu, S. L. Xiong, M. Xu, L. Zhang, L. Y. Zhang, P. Zhang, S. N. Zhang, Y. J. Zhang, A. Zwolinska

As a space-borne detector POLAR is designed to conduct hard X-ray polarization measurements of gamma-ray bursts on the statistically significant sample of events and with an unprecedented accuracy. During its development phase a number of tests, calibrations runs and verification measurements were carried out in order to validate instrument functionality and optimize operational parameters. In this article we present results on gain optimization togeter with verification data obtained in the course of broad laboratory and environmental tests. Read More

This paper proposes an optimization model based on the minimum-cost perfect matching in a bipartite graph for the segmentation of 3D mobile LiDAR point clouds. The segmentation is formed as a maximum a posteriori estimation. The penalty function is based on Euclidean distances and normal vectors of the points. Read More

Single-phased, single-oriented thin films of Mn-doped ZnAs-based diluted magnetic semiconductor (DMS) Ba1-xKx(Zn1-yMny)2As2 (x = 0.03, 0.08; y = 0. Read More

The Data Activated Liu Graph Engine - DALiuGE - is an execution framework for processing large astronomical datasets at a scale required by the Square Kilometre Array Phase 1 (SKA1). It includes an interface for expressing complex data reduction pipelines consisting of both data sets and algorithmic components and an implementation run-time to execute such pipelines on distributed resources. By mapping the logical view of a pipeline to its physical realisation, DALiuGE separates the concerns of multiple stakeholders, allowing them to collectively optimise large-scale data processing solutions in a coherent manner. Read More

The energy efficiency and power of a three-terminal thermoelectric nanodevice are studied by considering elastic tunneling through a single quantum dot. Facilitated by the three-terminal geometry, the nanodevice is able to generate simultaneously two electrical powers by utilizing only one temperature bias. These two electrical powers can add up constructively or destructively, depending on their signs. Read More

Caching at mobile devices, accompanied by device-to-device (D2D) communications, is one promising technique to accommodate the exponentially increasing mobile data traffic. While most previous works ignored user mobility, there are some recent works taking it into account. However, the duration of user contact times has been ignored, making it difficult to explicitly characterize the effect of mobility. Read More

Propagation of coronal mass ejections (CMEs) from the Sun far into interplanetary space is not well understood due to limited observations. In this study we examine the propagation characteristics of two geo-effective CMEs, which occurred on 2005 May 6 and 13, respectively. Significant heliospheric consequences associated with the two CMEs are observed, including interplanetary CMEs (ICMEs) at the Earth and Ulysses, interplanetary shocks, a long-duration type II radio burst, and intense geomagnetic storms. Read More

In three-dimensional topological insulators (TIs), the nontrivial topology in their electronic bands casts a gapless state on their solid surfaces, using which dissipationless TI edge devices based on the quantum anomalous Hall (QAH) effect and quantum Hall (QH) effect have been demonstrated. Practical TI devices present a pair of parallel-transport topological surface states (TSSs) on their top and bottom surfaces. However, due to the no-go theorem, the two TSSs always appear as a pair and are expected to quantize synchronously. Read More

**Authors:**D. S. Akerib, C. W. Akerlof, D. Yu. Akimov, S. K. Alsum, H. M. Araújo, I. J. Arnquist, M. Arthurs, X. Bai, A. J. Bailey, J. Balajthy, S. Balashov, M. J. Barry, J. Belle, P. Beltrame, T. Benson, E. P. Bernard, A. Bernstein, T. P. Biesiadzinski, K. E. Boast, A. Bolozdynya, B. Boxer, R. Bramante, P. Brás, J. H. Buckley, V. V. Bugaev, R. Bunker, S. Burdin, J. K. Busenitz, C. Carels, D. L. Carlsmith, B. Carlson, M. C. Carmona-Benitez, C. Chan, J. J. Cherwinka, A. A. Chiller, C. Chiller, A. Cottle, R. Coughlen, W. W. Craddock, A. Currie, C. E. Dahl, T. J. R. Davison, A. Dobi, J. E. Y. Dobson, E. Druszkiewicz, T. K. Edberg, W. R. Edwards, W. T. Emmet, C. H. Faham, S. Fiorucci, T. Fruth, R. J. Gaitskell, N. J. Gantos, V. M. Gehman, R. M. Gerhard, C. Ghag, M. G. D. Gilchriese, B. Gomber, C. R. Hall, S. Hans, K. Hanzel, S. J. Haselschwardt, S. A. Hertel, S. Hillbrand, C. Hjemfelt, M. D. Hoff, B. Holbrook, E. Holtom, E. W. Hoppe, J. Y-K. Hor, M. Horn, D. Q. Huang, T. W. Hurteau, C. M. Ignarra, R. G. Jacobsen, W. Ji, A. Kaboth, K. Kamdin, K. Kazkaz, D. Khaitan, A. Khazov, A. V. Khromov, A. M. Konovalov, E. V. Korolkova, M. Koyuncu, H. Kraus, H. J. Krebs, V. A. Kudryavtsev, A. V. Kumpan, S. Kyre, C. Lee, H. S. Lee, J. Lee, D. S. Leonard, R. Leonard, K. T. Lesko, C. Levy, F. -T. Liao, J. Lin, A. Lindote, R. E. Linehan, W. H. Lippincott, X. Liu, M. I. Lopes, B. Lopez Paredes, W. Lorenzon, S. Luitz, P. Majewski, A. Manalaysay, L. Manenti, R. L. Mannino, D. J. Markley, T. J. Martin, M. F. Marzioni, C. T. McConnell, D. N. McKinsey, D. -M. Mei, Y. Meng, E. H. Miller, E. Mizrachi, J. Mock, M. E. Monzani, J. A. Morad, B. J. Mount, A. St. J. Murphy, C. Nehrkorn, H. N. Nelson, F. Neves, J. A. Nikkel, J. O'Dell, K. O'Sullivan, I. Olcina, M. A. Olevitch, K. C. Oliver-Mallory, K. J. Palladino, E. K. Pease, A. Piepke, S. Powell, R. M. Preece, K. Pushkin, B. N. Ratcliff, J. Reichenbacher, L. Reichhart, C. A. Rhyne, A. Richards, J. P. Rodrigues, H. J. Rose, R. Rosero, P. Rossiter, J. S. Saba, M. Sarychev, R. W. Schnee, M. Schubnell, P. R. Scovell, S. Shaw, T. A. Shutt, C. Silva, K. Skarpaas, W. Skulski, M. Solmaz, V. N. Solovov, P. Sorensen, V. V. Sosnovtsev, I. Stancu, M. R. Stark, S. Stephenson, T. M. Stiegler, K. Stifter, T. J. Sumner, M. Szydagis, D. J. Taylor, W. C. Taylor, D. Temples, P. A. Terman, K. J. Thomas, J. A. Thomson, D. R. Tiedt, M. Timalsina, W. H. To, A. Tomás, T. E. Tope, M. Tripathi, L. Tvrznikova, J. Va'vra, A. Vacheret, M. G. D. van der Grinten, J. R. Verbus, C. O. Vuosalo, W. L. Waldron, R. Wang, R. Watson, R. C. Webb, W. -Z. Wei, M. While, D. T. White, T. J. Whitis, W. J. Wisniewski, M. S. Witherell, F. L. H. Wolfs, D. Woodward, S. Worm, J. Xu, M. Yeh, J. Yin, C. Zhang

The LUX-ZEPLIN (LZ) experiment will search for dark matter particle interactions with a detector containing a total of 10 tonnes of liquid xenon within a double-vessel cryostat. The large mass and proximity of the cryostat to the active detector volume demand the use of material with extremely low intrinsic radioactivity. We report on the radioassay campaign conducted to identify suitable metals, the determination of factors limiting radiopure production, and the selection of titanium for construction of the LZ cryostat and other detector components. Read More

In this paper, adaptive neural control (ANC) is investigated for a class of strict-feedback nonlinear stochastic systems with unknown parameters, unknown nonlinear functions and stochastic disturbances. The new controller of adaptive neural network with state feedback is presented by using a universal approximation of radial basis function neural network and backstepping. An adaptive neural network state-feedback controller is designed by constructing a suitable Lyapunov function. Read More

Round-robin-differential-phase (RRDPS) quantum key distribution (QKD) protocol has attracted intensive studies due to its distinct security characteristic, e.g., information leakage in RRDPS can be bounded without learning error rate of key bits. Read More

In this paper, we establish the second-order distributional expansions of normalized maxima of n independent observations, where the ith observation follows from a normal copula with its correlation coefficient being a monotone continuous function. These expansions can be used to deduce the convergence rates of distributions of normalized maxima to their limits. Read More

For a finite free and projective EI category, we prove that Gorenstein-projective modules over its category algebra are closed under the tensor product if and only if each morphism in the given category is a monomorphism. Read More

We report Very Long Baseline Array (VLBA) observations of the 1.5 GHz radio continuum emission of the {\it z=6.326} quasar SDSS J010013. Read More

A new methodology to measure coded image/video quality using the just-noticeable-difference (JND) idea was proposed. Several small JND-based image/video quality datasets were released by the Media Communications Lab at the University of Southern California. In this work, we present an effort to build a large-scale JND-based coded video quality dataset. Read More

We study the ergodicity of stochastic reaction-diffusion equation driven by subordinate Brownian motions. After establishing the strong Feller property and irreducibility of the system, we prove the tightness of the solution's law. These properties imply that this stochastic system admits a unique invariant measure according to Doob's and Krylov-Bogolyubov's theories. Read More

We study by means of bulk and local probes the d-metal alloy Ni$_{1-x}$V$_x$ close to the quantum critical concentration, $x_c \approx 11.6\%$, where the ferromagnetic transition temperature vanishes. The magnetization-field curve in the ferromagnetic phase takes an anomalous power-law form with a nonuniversal exponent that is strongly $x$-dependent and mirrors the behavior in the paramagnetic phase. Read More

In this paper we investigate the problem of inducing a distribution over three-dimensional structures given two-dimensional views of multiple objects taken from unknown viewpoints. Our approach called "projective generative adversarial networks" (PrGANs) trains a deep generative model of 3D shapes whose projections match the distributions of the input 2D views. The addition of a projection module allows us to infer the underlying 3D shape distribution without using any 3D, viewpoint information, or annotation during the learning phase. Read More

**Authors:**M. Kole, T. W. Bao, T. Batsch, T. Bernasconi, F. Cadoux, J. Y. Chai, Y. W. Dong, N. Gauvin, W. Hajdas, J. J. He, M. N. Kong, S. W. Kong, C. Lechanoine-Leluc, L. Li, Z. H. Li, J. T. Liu, X. Liu, R. Marcinkowski, S. Orsi, M. Pohl, N. Produit, D. Rapin, A. Rutczynska, D. Rybka, H. L. Shi, L. M. Song, J. C. Sun, J. Szabelski, R. J. Wang, Y. J. Wang, X. Wen, B. B. Wu, X. Wu, H. L. Xiao, S. L. Xiong, H. H. Xu, M. Xu, J. Zhang, L. Zhang, L. Y. Zhang, S. N. Zhang, X. F. Zhang, Y. J. Zhang, A. Zwolinska

Gamma-ray polarimetry is a new powerful tool to study the processes responsible for the emission from astrophysical sources and the environments in which this emission takes place. Few successful polarimetric measurements have however been performed thus far in the gamma-ray energy band due to the difficulties involved. POLAR is a dedicated polarimeter designed to perform high precision measurements of the polarization of the emission from gamma-ray burst in the 50-500 keV energy range. Read More

**Authors:**R. Bernabei

^{1}, P. Belli

^{2}, S. d'Angelo

^{3}, A. Di Marco

^{4}, F. Montecchia

^{5}, A. d'Angelo

^{6}, A. Incicchitti

^{7}, F. Cappella

^{8}, V. Caracciolo

^{9}, R. Cerulli

^{10}, C. J. Dai

^{11}, H. L. He

^{12}, H. H. Kuang

^{13}, X. H. Ma

^{14}, X. D. Sheng

^{15}, R. G. Wang

^{16}, Z. P. Ye

^{17}

**Affiliations:**

^{1}Univ. Roma Tor Vergata and INFN Roma Tor Vergata,

^{2}Univ. Roma Tor Vergata and INFN Roma Tor Vergata,

^{3}Univ. Roma Tor Vergata and INFN Roma Tor Vergata,

^{4}Univ. Roma Tor Vergata and INFN Roma Tor Vergata,

^{5}Univ. Roma Tor Vergata and INFN Roma Tor Vergata,

^{6}Univ. Roma and INFN Roma,

^{7}Univ. Roma and INFN Roma,

^{8}INFN LNGS,

^{9}INFN LNGS,

^{10}INFN LNGS,

^{11}IHEP Beijing,

^{12}IHEP Beijing,

^{13}IHEP Beijing,

^{14}IHEP Beijing,

^{15}IHEP Beijing,

^{16}IHEP Beijing,

^{17}IHEP Beijing

The DAMA/LIBRA experiment ($\sim$ 250 kg of highly radio-pure NaI(Tl)) is running deep underground at the Gran Sasso National Laboratory (LNGS) of the I.N.F. Read More

The High Energy cosmic Radiation Detection (HERD) facility is a space mission designed for detecting cosmic ray (CR) electrons, $\gamma$-rays up to tens of TeV and CR nuclei from proton to iron up to several PeV. The main instrument of HERD is a 3-D imaging calorimeter (CALO) composed of nearly ten thousand cubic LYSO crystals. A large dynamic range of single HERD CALO Cell (HCC) is necessary to achieve HERD's PeV observation objectives, which means that the response of HCC should maintain a good linearity from minimum ionizing particle (MIP) calibration to PeV shower maximum. Read More