C. -T. Chen

C. -T. Chen
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C. -T. Chen
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High Energy Physics - Phenomenology (10)
 
High Energy Physics - Experiment (7)
 
Computer Science - Computer Vision and Pattern Recognition (6)
 
Astrophysics of Galaxies (4)
 
Nuclear Experiment (4)
 
Physics - Materials Science (4)
 
Computer Science - Neural and Evolutionary Computing (3)
 
Computer Science - Cryptography and Security (3)
 
Computer Science - Networking and Internet Architecture (3)
 
Physics - Plasma Physics (3)
 
Cosmology and Nongalactic Astrophysics (2)
 
Mathematics - Information Theory (2)
 
Computer Science - Information Theory (2)
 
Physics - Atomic Physics (2)
 
Quantum Physics (2)
 
Physics - Mesoscopic Systems and Quantum Hall Effect (2)
 
Physics - Space Physics (2)
 
Solar and Stellar Astrophysics (2)
 
Quantitative Biology - Tissues and Organs (1)
 
Physics - Superconductivity (1)
 
High Energy Physics - Theory (1)
 
Physics - Optics (1)
 
General Relativity and Quantum Cosmology (1)
 
Computer Science - Distributed; Parallel; and Cluster Computing (1)
 
High Energy Astrophysical Phenomena (1)
 
High Energy Physics - Lattice (1)
 
Physics - Computational Physics (1)
 
Mathematics - Numerical Analysis (1)
 
Earth and Planetary Astrophysics (1)
 
Mathematics - Analysis of PDEs (1)
 
Computer Science - Learning (1)
 
Nuclear Theory (1)
 
Computer Science - Operating Systems (1)
 
Physics - Fluid Dynamics (1)
 
Mathematics - Optimization and Control (1)
 
Computer Science - Data Structures and Algorithms (1)

Publications Authored By C. -T. Chen

Solutions to the electroweak hierarchy problem typically introduce a new symmetry to stabilize the quadratic ultraviolet sensitivity in the self-energy of the Higgs boson. The new symmetry is either broken softly or collectively, as for example in supersymmetric and little Higgs theories. At low energies such theories contain naturalness partners of the Standard Model fields which are responsible for canceling the quadratic divergence in the squared Higgs mass. Read More

Symbolic regression that aims to detect underlying data-driven model has become increasingly important for industrial data analysis. For most of existing algorithms, such as genetic programming (GP), the convergence speed might be too slow for large scale problems with a large number of variables. This situation may become even worse with increasing problem size. Read More

Today's embedded and cyber-physical systems are ubiquitous. A large number of critical cyber-physical systems have real-time requirements (e.g. Read More

We develop a spatial branch-and-cut approach for nonconvex Quadratically Constrained Quadratic Programs with bounded complex variables (CQCQP). Linear valid inequalities are added at each node of the search tree to strengthen semidefinite programming relaxations of CQCQP. These valid inequalities are derived from the convex hull description of a nonconvex set of $2 \times 2$ positive semidefinite Hermitian matrices subject to a rank-one constraint. Read More

We develop the asymptotic behavior for the solutions to the stationary Navier-Stokes equation in the exterior domain of the 2D hyperbolic space. More precisely, given the finite Dirichlet norm of the velocity, we show the velocity decays to $0$ at infinity. We also address the decay rate for the vorticity and the behavior of the pressure. Read More

We present a combined observational and theoretical analysis to investigate the nature of plasma turbulence at kinetic scales in the Earth's magnetosheath. In the first decade of the kinetic range, just below the ion gyroscale, the turbulence was found to be similar to that in the upstream solar wind: predominantly anisotropic, low-frequency and kinetic Alfv\'en in nature. A key difference, however, is that the magnetosheath ions are typically much hotter than the electrons, $T_\mathrm{i}\gg T_\mathrm{e}$, which, together with $\beta_\mathrm{i}\sim 1$, leads to a change in behaviour in the second decade, close to electron scales. Read More

Symbolic regression aims to find a function that best explains the relationship between independent variables and the objective value based on a given set of sample data. Genetic programming (GP) is usually considered as an appropriate method for the problem since it can optimize functional structure and coefficients simultaneously. However, the convergence speed of GP might be too slow for large scale problems that involve a large number of variables. Read More

A new gas puff imaging (GPI) diagnostic has been developed on HL-2A tokamak to study two-dimensional plasma edge turbulence in poloidal vs radial plane. During a discharge, neutral helium or deuterium gas is puffed at the edge of the plasma through a rectangular multi-capillary nozzle to generate a gas cloud on the observing plane. Then a specially designed telescope and a high-speed camera are used to observe and photograph the emission from the neutral gas cloud. Read More

This paper is concerned with solving some structured multi-linear systems, which are called tensor absolute value equations. This kind of absolute value equations is closely related to tensor complementarity problems and is a generalization of the well-known absolute value equations in the matrix case. We prove that tensor absolute value equations are equivalent to some special structured tensor complementary problems. Read More

Magneto-electronic properties of buckled monolayer GaAs is studied by the developed generalized tight-binding model, considering the buckled structure, multi-orbital chemical bondings, spin-orbit coupling, electric field, and magnetic field simultaneously. Three group of spin-polarized Landau levels (LLs) near the Fermi level are induced by the magnetic quantization, whose initial energies, LL degeneracy, energy spacings, magnetic-field-dependence, and spin polarization are investigated. The Landau state probabilities describing the oscillation patterns, localization centers, and node regularities of the dominated/minor orbitals are analyzed, and their energy-dependent variations are discussed. Read More

Online Newton step algorithms usually achieve good performance with less training samples than first order methods, but require higher space and time complexity in each iteration. In this paper, we develop a new sketching strategy called regularized frequent direction (RFD) to improve the performance of online Newton algorithms. Unlike the standard frequent direction (FD) which only maintains a sketching matrix, the RFD introduces a regularization term additionally. Read More

The Circular Electron Positron Collider (CEPC) is a future Higgs factory proposed by the Chinese high energy physics community. It will operate at a center-of-mass energy of 240-250 GeV. The CEPC will accumulate an integrated luminosity of 5 ab$^{\rm{-1}}$ in ten years' operation. Read More

We describe a calculation of the spectrum of flavour-SU(3) octet and decuplet baryons, their parity partners, and the radial excitations of these systems, made using a symmetry-preserving treatment of a vector-vector contact interaction as the foundation for the relevant few-body equations. Dynamical chiral symmetry breaking generates nonpointlike diquarks within these baryons and hence, using the contact interaction, flavour-antitriplet scalar, pseudoscalar and vector, and flavour-sextet axial-vector quark-quark correlations can all play an active role. The model yields reasonable masses for all systems studied, and Faddeev amplitudes for ground states and associated parity partners that sketch a realistic picture of their internal structure: ground-state, even parity baryons are constituted, almost exclusively, from like-parity diquark correlations; but orbital angular momentum plays an important role in the rest-frame wave functions of odd-parity baryons, whose Faddeev amplitudes are dominated by odd-parity diquarks. Read More

Effects of nanostructured defects of copper solid surface on the bubble growth in liquid argon have been investigated through a hybrid atomistic-continuum method. The same solid surfaces with five different nanostructures, namely, wedge defect, deep rectangular defect (R-I), shallow rectangular defect (R-II), small rectangular defect (R-III) and no defect, have been modeled at molecular level. The liquid argon is placed on top of the hot solid copper with superheat of 30 K after equilibration is achieved with CFD-MD coupled simulation. Read More

Visual data such as videos are often sampled from complex manifold. We propose leveraging the manifold structure to constrain the deep action feature learning, thereby minimizing the intra-class variations in the feature space and alleviating the over-fitting problem. Considering that manifold can be transferred, layer by layer, from the data domain to the deep features, the manifold priori is posed from the top layer into the back propagation learning procedure of convolutional neural network (CNN). Read More

In real-time embedded systems (RTS), failures due to security breaches can cause serious damage to the system, the environment and/or injury to humans. Therefore, it is very important to understand the potential threats and attacks against these systems. In this paper we present a novel reconnaissance attack that extracts the exact schedule of real-time systems designed using fixed priority scheduling algorithms. Read More

We associate Sr atom pairs on sites of a Mott insulator optically and coherently into weakly-bound ground-state molecules, achieving an efficiency above 80%. This efficiency is 2.5 times higher than in our previous work [PRL 109, 115302 (2012)] and obtained through two improvements. Read More

Steerable properties dominate the design of traditional filters, e.g., Gabor filters, and endow features the capability of dealing with spatial transformations. Read More

Many physical plants that are controlled by embedded systems have safety requirements that need to be respected at all times - any deviations from expected behavior can result in damage to the system (often to the physical plant), the environment or even endanger human life. In recent times, malicious attacks against such systems have increased - many with the intent to cause physical damage. In this paper, we aim to decouple the safety of the plant from security of the embedded system by taking advantage of the inherent inertia in such systems. Read More

With onboard operating systems becoming increasingly common in vehicles, the real-time broadband infotainment and Intelligent Transportation System (ITS) service applications in fast-motion vehicles become ever demanding, which are highly expected to significantly improve the efficiency and safety of our daily on-road lives. The emerging ITS and vehicular applications, e.g. Read More

Symbolic regression is an important but challenging research topic in data mining. It can detect the underlying mathematical models. Genetic programming (GP) is one of the most popular methods for symbolic regression. Read More

The rhenium-based transition metal dichalcogenides (TMDs) are atypical of the TMD family due to their highly anisotropic crystalline structure and are recognized as promising materials for two dimensional heterostructure devices. The nature of the band gap (direct or indirect) for bulk, few and single layer forms of ReS$_2$ is of particular interest, due to its comparatively weak inter-planar interaction. However, the degree of inter-layer interaction and the question of whether a transition from indirect to direct gap is observed on reducing thickness (as in other TMDs) are controversial. Read More

In order to understand the nature of the accelerating expansion of the late-time universe, it is important to experimentally determine whether dark energy is cosmological constant or dynamical in nature. If dark energy already exists prior to inflation, which is a reasonable assumption, then one expects that a dynamical dark energy would leave some footprint in the anisotropy of the late-time accelerated expansion. We invoke the quintessence field, one of the simplest dynamical dark energy models, to investigate the effects of its quantum fluctuations (fully correlated with curvature perturbations) during inflation and estimate the anisotropy of the cosmic expansion so induced. Read More

We investigate the dependence of black-hole accretion rate (BHAR) on host-galaxy star formation rate (SFR) and stellar mass ($M_*$) in the CANDELS/GOODS-South field in the redshift range of $0.5\leq z < 2.0$. Read More

$[Background]$ Measurements of the neutron charge distribution are made difficult by the fact that, with no net charge, the neutron electric form factor, $G^n_E$, is generally much smaller than the magnetic form factor, $G^n_M$. In addition, measurements of these form factors must use nuclear targets which requires accurately accounting for nuclear effects. $[Method]$ The inclusive quasi-elastic reaction $^3\overrightarrow{\rm{He}}(\overrightarrow{e},e')$ was measured at Jefferson Lab. Read More

We analyze the collider signatures of the real singlet extension of the Standard Model in regions consistent with a strong first-order electroweak phase transition and a singlet-like scalar heavier than the Standard Model-like Higgs. A definitive correlation exists between the strength of the phase transition and the trilinear coupling of the Higgs to two singlet-like scalars, and hence between the phase transition and non-resonant scalar pair production involving the singlet at colliders. We study the prospects for observing these processes at the LHC and a future 100 TeV $pp$ collider, focusing particularly on double singlet production. Read More

Quantum enhanced microscopy allows for measurements at high sensitivities and low damage. Recently, multi-pass microscopy was introduced as such a scheme, exploiting the sensitivity enhancement offered by multiple photon-sample interactions. Here we theoretically and numerically compare three different contrast enhancing techniques that are all based on self-imaging cavities: CW cavity enhanced microscopy, cavity ring-down microscopy and multi-pass microscopy. Read More

Heterogeneous wireless networks with small-cell deployments in licensed and unlicensed spectrum bands are a promising approach for expanding wireless connectivity and service. As a result, wireless service providers (SPs) are adding small-cells to augment their existing macro-cell deployments. This added flexibility complicates network management, in particular, service pricing and spectrum allocations across macro- and small-cells. Read More

$L_\mu -L_\tau$ gauge boson ($Z'$) with a mass in the MeV to GeV region can resolve not only the muon $g-2$ excess, but also the gap in the high-energy cosmic neutrino spectrum at IceCube. It was recently proposed that such a light gauge boson can be detected at the Belle II experiment with a luminosity of 50 ab$^{-1}$ by the $e^+ e^- \to \gamma +\slashed{E}$ process through the kinetic mixing with the photon, where the missing energy $\slashed{E}$ is from the $Z' \to \bar\nu \nu$ decays. We study the phenomenological implications when a pair of singlet vector-like leptons carrying different $L_\mu - L_\tau$ charges are included, and a complex singlet scalar ($\phi_S$) is introduced to accomplish the spontaneous $U(1)_{L_\mu -L_\tau}$ symmetry breaking. Read More

The identification of high-redshift massive galaxies with old stellar populations may pose challenges to some models of galaxy formation. However, to securely classify a galaxy as quiescent, it is necessary to exclude significant ongoing star formation, something that can be challenging to achieve at high redshift. In this letter, we analyse deep ALMA/870um and SCUBA-2/450um imaging of the claimed "post-starburst" galaxy ZF-20115 at z=3. Read More

Remote sensing research focusing on feature selection has long attracted the attention of the remote sensing community because feature selection is a prerequisite for image processing and various applications. Different feature selection methods have been proposed to improve the classification accuracy. They vary from basic search techniques to clonal selections, and various optimal criteria have been investigated. Read More

This paper considers a wireless powered communication network (WPCN) with group cooperation, where two communication groups cooperate with each other via wireless power transfer and time sharing to fulfill their expected information delivering and achieve "win-win" collaboration. To explore the system performance limits, we formulate optimization problems to respectively maximize the weighted sum-rate and minimize the total consumed power. The time assignment, beamforming vector and power allocation are jointly optimized under available power and quality of service requirement constraints of both groups. Read More

Whole body biodistribution of 100 nanometer sized polymer micellar nanoparticles (NPs) was determined following intranasal administration using PET/CT imaging on a clinical scanner. Nanoparticles labeled with Zirconium 89 were administered intranasally or intravenously to Sprague Dawley rats followed by serial ex vivo PET/CT imaging in a clinical scanner. At 30 minutes and 1 hour following intranasal delivery, the animals were sacrificed and placed in the PET/CT scanner. Read More

ReSe2 and ReS2 are unusual compounds amongst the layered transition metal dichalcogenides as a result of their low symmetry, with a characteristic in-plane anisotropy due to in-plane rhenium chains. They preserve inversion symmetry independent of the number of layers and, in contrast to more well-known transition metal dichalcogenides, bulk and few-monolayer Re-TMD compounds have been proposed to behave as electronically and vibrational decoupled layers. Here, we probe for the first time the electronic band structure of bulk ReSe2 by direct nanoscale angle-resolved photoemission spectroscopy. Read More

Deep convolutional neural networks (CNN) have recently been shown to generate promising results for aesthetics assessment. However, the performance of these deep CNN methods is often compromised by the constraint that the neural network only takes the fixed-size input. To accommodate this requirement, input images need to be transformed via cropping, warping, or padding, which often alter image composition, reduce image resolution, or cause image distortion. Read More

By far cosmology is one of the most exciting subject to study, even more so with the current bulk of observations we have at hand. These observations might indicate different kinds of doomsdays, if dark energy follows certain patterns. Two of these doomsdays are the Little Rip (LR) and Little Sibling of the Big Rip (LSBR). Read More

Deep learning has been demonstrated to achieve excellent results for image classification and object detection. However, the impact of deep learning on video analysis (e.g. Read More

2017Mar
Affiliations: 1University of Texas at Austin, 2University of California Irvine, 3University of Texas at Austin, 4Spitzer Science Center, 5European Southern Observatory, 6University of Texas at Austin, 7Rochester Institute of Technology, 8Rochester Institute of Technology, 9Institute for Astronomy/University of Hawai'i

We present near-infrared and optical spectroscopic observations of a sample of 450$\mu$m and 850$\mu$m-selected dusty star-forming galaxies (DSFGs) identified in a 400 arcmin$^2$ area in the COSMOS field. Thirty-one sources of the 102 targets were spectroscopically confirmed at $0.2Read More

The proton is composed of quarks and gluons, bound by the most elusive mechanism of strong interaction called confinement. In this work, the dynamics of quarks and gluons are investigated using deeply virtual Compton scattering (DVCS): produced by a multi-GeV electron, a highly virtual photon scatters off the proton which subsequently radiates a high energy photon. Similarly to holography, measuring not only the magnitude but also the phase of the DVCS amplitude allows to perform 3D images of the internal structure of the proton. Read More

2017Mar
Authors: C. Aidala, N. N. Ajitanand, Y. Akiba, R. Akimoto, J. Alexander, M. Alfred, K. Aoki, N. Apadula, H. Asano, E. T. Atomssa, T. C. Awes, C. Ayuso, B. Azmoun, V. Babintsev, A. Bagoly, M. Bai, X. Bai, B. Bannier, K. N. Barish, S. Bathe, V. Baublis, C. Baumann, S. Baumgart, A. Bazilevsky, M. Beaumier, R. Belmont, A. Berdnikov, Y. Berdnikov, D. Black, D. S. Blau, M. Boer, J. S. Bok, K. Boyle, M. L. Brooks, J. Bryslawskyj, H. Buesching, V. Bumazhnov, C. Butler, S. Butsyk, S. Campbell, V. Canoa Roman, C. -H. Chen, C. Y. Chi, M. Chiu, I. J. Choi, J. B. Choi, S. Choi, P. Christiansen, T. Chujo, V. Cianciolo, B. A. Cole, M. Connors, N. Cronin, N. Crossette, M. Csanád, T. Csörgő, T. W. Danley, A. Datta, M. S. Daugherity, G. David, K. DeBlasio, K. Dehmelt, A. Denisov, A. Deshpande, E. J. Desmond, L. Ding, J. H. Do, L. D'Orazio, O. Drapier, A. Drees, K. A. Drees, M. Dumancic, J. M. Durham, A. Durum, T. Elder, T. Engelmore, A. Enokizono, S. Esumi, K. O. Eyser, B. Fadem, W. Fan, N. Feege, D. E. Fields, M. Finger, M. Finger, \, Jr., F. Fleuret, S. L. Fokin, J. E. Frantz, A. Franz, A. D. Frawley, Y. Fukao, Y. Fukuda, T. Fusayasu, K. Gainey, C. Gal, P. Garg, A. Garishvili, I. Garishvili, H. Ge, F. Giordano, A. Glenn, X. Gong, M. Gonin, Y. Goto, R. Granier de Cassagnac, N. Grau, S. V. Greene, M. Grosse Perdekamp, Y. Gu, T. Gunji, H. Guragain, T. Hachiya, J. S. Haggerty, K. I. Hahn, H. Hamagaki, S. Y. Han, J. Hanks, S. Hasegawa, T. O. S. Haseler, K. Hashimoto, R. Hayano, X. He, T. K. Hemmick, T. Hester, J. C. Hill, K. Hill, R. S. Hollis, K. Homma, B. Hong, T. Hoshino, N. Hotvedt, J. Huang, S. Huang, T. Ichihara, Y. Ikeda, K. Imai, Y. Imazu, J. Imrek, M. Inaba, A. Iordanova, D. Isenhower, A. Isinhue, Y. Ito, D. Ivanishchev, B. V. Jacak, S. J. Jeon, M. Jezghani, Z. Ji, J. Jia, X. Jiang, B. M. Johnson, K. S. Joo, V. Jorjadze, D. Jouan, D. S. Jumper, J. Kamin, S. Kanda, B. H. Kang, J. H. Kang, J. S. Kang, D. Kapukchyan, J. Kapustinsky, S. Karthas, D. Kawall, A. V. Kazantsev, J. A. Key, V. Khachatryan, P. K. Khandai, A. Khanzadeev, K. M. Kijima, C. Kim, D. J. Kim, E. -J. Kim, M. Kim, Y. -J. Kim, Y. K. Kim, D. Kincses, E. Kistenev, J. Klatsky, D. Kleinjan, P. Kline, T. Koblesky, M. Kofarago, B. Komkov, J. Koster, D. Kotchetkov, D. Kotov, F. Krizek, S. Kudo, K. Kurita, M. Kurosawa, Y. Kwon, R. Lacey, Y. S. Lai, J. G. Lajoie, E. O. Lallow, A. Lebedev, D. M. Lee, G. H. Lee, J. Lee, K. B. Lee, K. S. Lee, S. H. Lee, M. J. Leitch, M. Leitgab, Y. H. Leung, B. Lewis, N. A. Lewis, X. Li, X. Li, S. H. Lim, L. D. Liu, M. X. Liu, V. -R. Loggins, S. Lokos, D. Lynch, C. F. Maguire, T. Majoros, Y. I. Makdisi, M. Makek, M. Malaev, A. Manion, V. I. Manko, E. Mannel, H. Masuda, M. McCumber, P. L. McGaughey, D. McGlinchey, C. McKinney, A. Meles, M. Mendoza, B. Meredith, W. J. Metzger, Y. Miake, T. Mibe, A. C. Mignerey, D. E. Mihalik, A. Milov, D. K. Mishra, J. T. Mitchell, G. Mitsuka, S. Miyasaka, S. Mizuno, A. K. Mohanty, S. Mohapatra, T. Moon, D. P. Morrison, S. I. M. Morrow, M. Moskowitz, T. V. Moukhanova, T. Murakami, J. Murata, A. Mwai, T. Nagae, K. Nagai, S. Nagamiya, K. Nagashima, T. Nagashima, J. L. Nagle, M. I. Nagy, I. Nakagawa, H. Nakagomi, Y. Nakamiya, K. R. Nakamura, T. Nakamura, K. Nakano, C. Nattrass, P. K. Netrakanti, M. Nihashi, T. Niida, R. Nouicer, T. Novák, N. Novitzky, R. Novotny, A. S. Nyanin, E. O'Brien, C. A. Ogilvie, H. Oide, K. Okada, J. D. Orjuela Koop, J. D. Osborn, A. Oskarsson, K. Ozawa, R. Pak, V. Pantuev, V. Papavassiliou, I. H. Park, J. S. Park, S. Park, S. K. Park, S. F. Pate, L. Patel, M. Patel, J. -C. Peng, W. Peng, D. V. Perepelitsa, G. D. N. Perera, D. Yu. Peressounko, C. E. PerezLara, J. Perry, R. Petti, M. Phipps, C. Pinkenburg, R. P. Pisani, A. Pun, M. L. Purschke, H. Qu, P. V. Radzevich, J. Rak, I. Ravinovich, K. F. Read, D. Reynolds, V. Riabov, Y. Riabov, E. Richardson, D. Richford, T. Rinn, N. Riveli, D. Roach, S. D. Rolnick, M. Rosati, Z. Rowan, J. Runchey, M. S. Ryu, B. Sahlmueller, N. Saito, T. Sakaguchi, H. Sako, V. Samsonov, M. Sarsour, K. Sato, S. Sato, S. Sawada, B. Schaefer, B. K. Schmoll, K. Sedgwick, J. Seele, R. Seidl, Y. Sekiguchi, A. Sen, R. Seto, P. Sett, A. Sexton, D. Sharma, A. Shaver, I. Shein, T. -A. Shibata, K. Shigaki, M. Shimomura, K. Shoji, P. Shukla, A. Sickles, C. L. Silva, D. Silvermyr, B. K. Singh, C. P. Singh, V. Singh, M. J. Skoby, M. Skolnik, M. Slunečka, K. L. Smith, S. Solano, R. A. Soltz, W. E. Sondheim, S. P. Sorensen, I. V. Sourikova, P. W. Stankus, P. Steinberg, E. Stenlund, M. Stepanov, A. Ster, S. P. Stoll, M. R. Stone, T. Sugitate, A. Sukhanov, J. Sun, S. Syed, A. Takahara, A Takeda, A. Taketani, Y. Tanaka, K. Tanida, M. J. Tannenbaum, S. Tarafdar, A. Taranenko, G. Tarnai, E. Tennant, R. Tieulent, A. Timilsina, T. Todoroki, M. Tomášek, H. Torii, C. L. Towell, R. S. Towell, I. Tserruya, Y. Ueda, B. Ujvari, H. W. van Hecke, M. Vargyas, S. Vazquez-Carson, E. Vazquez-Zambrano, A. Veicht, J. Velkovska, R. Vértesi, M. Virius, V. Vrba, E. Vznuzdaev, X. R. Wang, Z. Wang, D. Watanabe, K. Watanabe, Y. Watanabe, Y. S. Watanabe, F. Wei, S. Whitaker, S. Wolin, C. P. Wong, C. L. Woody, M. Wysocki, B. Xia, C. Xu, Q. Xu, Y. L. Yamaguchi, A. Yanovich, P. Yin, S. Yokkaichi, J. H. Yoo, I. Yoon, Z. You, I. Younus, H. Yu, I. E. Yushmanov, W. A. Zajc, A. Zelenski, S. Zharko, S. Zhou, L. Zou

The cross section and transverse single-spin asymmetries of $\mu^{-}$ and $\mu^{+}$ from open heavy-flavor decays in polarized $p$+$p$ collisions at $\sqrt{s}=200$ GeV were measured by the PHENIX experiment during 2012 at the Relativistic Heavy Ion Collider. Because heavy-flavor production is dominated by gluon-gluon interactions at $\sqrt{s}=200$ GeV, these measurements offer a unique opportunity to obtain information on the trigluon correlation functions. The measurements are performed at forward and backward rapidity ($1. Read More

We investigate the superconducting-gap anisotropy in one of the recently discovered BiS$_2$-based superconductors, NdO$_{0.71}$F$_{0.29}$BiS$_2$ ($T_c$ $\sim$ 5 K), using laser-based angle-resolved photoemission spectroscopy. Read More

In this paper, we address the problem of cross-view image geo-localization. Specifically, we aim to estimate the GPS location of a query street view image by finding the matching images in a reference database of geo-tagged bird's eye view images, or vice versa. To this end, we present a new framework for cross-view image geo-localization by taking advantage of the tremendous success of deep convolutional neural networks (CNNs) in image classification and object detection. Read More

Employing two state-of-the-art methods, multiconfiguration Dirac--Hartree--Fock and second-order many-body perturbation theory, the excitation energies and lifetimes for the lowest 200 states of the $2s^2 2p^4$, $2s 2p^5$, $2p^6$, $2s^2 2p^3 3s$, $2s^2 2p^3 3p$, $2s^2 2p^3 3d$, $2s 2p^4 3s$, $2s 2p^4 3p$, and $2s 2p^4 3d$ configurations, and multipole (electric dipole (E1), magnetic dipole (M1), and electric quadrupole (E2)) transition rates, line strengths, and oscillator strengths among these states are calculated for each O-like ion from Cr XVII to Zn XXIII. Our two data sets are compared with the NIST and CHIANTI compiled values, and previous calculations. The data are accurate enough for identification and deblending of new emission lines from the sun and other astrophysical sources. Read More

Heavy vector-like quarks (VLQs) appear in many models of beyond the Standard Model physics. Direct experimental searches require these new quarks to be heavy, $\gsim$ 800-1000 GeV. We perform a global fit of the parameters of simple VLQ models in minimal representations of $SU(2)_L$ to precision data and Higgs rates. Read More

We propose a method to electrically control electron spins in donor-based qubits in silicon. By taking advantage of the hyperfine coupling difference between a single-donor and a two-donor quantum dot, spin rotation can be driven by inducing an electric dipole between them and applying an alternating electric field generated by in-plane gates. These qubits can be coupled with exchange interaction controlled by top detuning gates. Read More

Engineered lattices in condensed matter physics, such as cold atom optical lattices or photonic crystals, can have fundamentally different properties from naturally-occurring electronic crystals. Here, we report a novel type of artificial quantum matter lattice. Our lattice is a multilayer heterostructure built from alternating thin films of topological and trivial insulators. Read More

We study the influence of a charged-Higgs on the excess of branching fraction ratio, $R_M = BR(\bar B \to M \tau \bar\nu_\tau)/BR(\bar B \to M \ell \bar \nu_\ell)$ $(M=D, D^*)$, in a generic two-Higgs-doublet model. For investigating the lepton polarization, the detailed decay amplitudes with lepton helicity are given. When the charged-Higgs is used to resolve the excesses, it is found that two independent Yukawa couplings are needed to together explain the $R_D$ and $R_{D^*}$ anomalies and simultaneously fit the branching ratios of the decays within $2\sigma$ errors. Read More

We investigate the anomalies of muon $g-2$, $R_K$, $R_{D}$, and $R_{D^*}$ in a specific model with one doublet, one triplet, and one singlet scalar leptoquarks (LQs). When the strict limits from the $\ell' \to \ell \gamma$, $\Delta B=2$, $B_{s}\to \mu^+ \mu^-$, and $B^+ \to K^+ \nu \bar\nu$ processes are considered, it is found that due to the strong correlations among the constraints and observables, it is difficult to use one scalar LQ to explain all anomalies. After ignoring the constraints and small couplings, the muon $g-2$ can be singly explained by the doublet LQ due to the $m_t$ enhancement; the measured and unexpected smaller $R_K$ needs the combination effects from the doublet and triplet LQs; and the $R_D$ and $R_{D^*}$ excesses have to rely on the singlet LQ through the scalar- and tensor-type interactions. Read More

Observations in the solar wind suggest that the compressive component of inertial-range solar-wind turbulence is dominated by slow modes. The low collisionality of the solar wind allows for non-thermal features to survive, which suggests the requirement of a kinetic plasma description. The least-damped kinetic slow mode is associated with the ion-acoustic (IA) wave and a non-propagating (NP) mode. Read More