X. Wei - The CLAS Collaboration

X. Wei
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X. Wei
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The CLAS Collaboration
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Nuclear Experiment (9)
 
Computer Science - Computer Vision and Pattern Recognition (7)
 
Mathematics - Optimization and Control (6)
 
Physics - Mesoscopic Systems and Quantum Hall Effect (6)
 
Solar and Stellar Astrophysics (5)
 
Earth and Planetary Astrophysics (5)
 
Mathematics - Probability (5)
 
Physics - Fluid Dynamics (5)
 
Physics - Materials Science (4)
 
Physics - Geophysics (3)
 
Computer Science - Distributed; Parallel; and Cluster Computing (2)
 
High Energy Physics - Phenomenology (2)
 
Physics - Plasma Physics (2)
 
Computer Science - Learning (2)
 
Statistics - Theory (2)
 
Mathematics - Numerical Analysis (2)
 
Mathematics - Statistics (2)
 
Physics - Strongly Correlated Electrons (1)
 
Computer Science - Performance (1)
 
Mathematics - Information Theory (1)
 
Computer Science - Information Theory (1)
 
Computer Science - Multimedia (1)
 
Physics - Physics and Society (1)
 
Physics - Atomic and Molecular Clusters (1)
 
Mathematics - Classical Analysis and ODEs (1)
 
High Energy Physics - Experiment (1)
 
Physics - Superconductivity (1)
 
Physics - Instrumentation and Detectors (1)

Publications Authored By X. Wei

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

2017May
Authors: D. Ho, P. Peng, C. Bass, P. Collins, A. D'Angelo, A. Deur, J. Fleming, C. Hanretty, T. Kageya, M. Khandaker, F. J. Klein, E. Klempt, V. Laine, M. M. Lowry, H. Lu, C. Nepali, V. A. Nikonov, T. O'Connell, A. M. Sandorfi, A. V. Sarantsev, R. A. Schumacher, I. I. Strakovsky, A. Švarc, N. K. Walford, X. Wei, C. S. Whisnant, R. L. Workman, I. Zonta, K. P. Adhikari, D. Adikaram, Z. Akbar, M. J. Amaryan, S. Anefalos Pereira, H. Avakian, J. Ball, M. Bashkanov, M. Battaglieri, V. Batourine, I. Bedlinskiy, W. J. Briscoe, V. D. Burkert, D. S. Carman, A. Celentano, G. Charles, T. Chetry, G. Ciullo, L. Clark, L. Colaneri, P. L. Cole, M. Contalbrigo, V. Crede, N. Dashyan, E. De Sanctis, R. De Vita, C. Djalali, R. Dupre, A. El Alaoui, L. El Fassi, L. Elouadrhiri, G. Fedotov, S. Fegan, R. Fersch, A. Filippi, A. Fradi, Y. Ghandilyan, G. P. Gilfoyle, F. X. Girod, D. I. Glazier, C. Gleason, W. Gohn, E. Golovatch, R. W. Gothe, K. A. Griffioen, M. Guidal, L. Guo, H. Hakobyan, N. Harrison, K. Hicks, M. Holtrop, S. M. Hughes, Y. Ilieva, D. G. Ireland, B. S. Ishkhanov, E. L. Isupov, D. Jenkins, H. Jiang, H. S. Jo, K. Joo, S. Joosten, D. Keller, G. Khachatryan, A. Kim, W. Kim, A. Klein, V. Kubarovsky, S. V. Kuleshov, L. Lanza, P. Lenisa, K. Livingston, I . J . D. MacGregor, N. Markov, B. McKinnon, T. Mineeva, V. Mokeev, R. A. Montgomery, A Movsisyan, C. Munoz Camacho, G. Murdoch, S. Niccolai, G. Niculescu, M. Osipenko, M. Paolone, R. Paremuzyan, K. Park, E. Pasyuk, W. Phelps, O. Pogorelko, J. W. Price, S. Procureur, D. Protopopescu, M. Ripani, D. Riser, B. G. Ritchie, A. Rizzo, G. Rosner, F. Sabatié, C. Salgado, Y. G. Sharabian, Iu. Skorodumina, G. D. Smith, D. I. Sober, D. Sokhan, N. Sparveris, S. Strauch, Ye Tian, B. Torayev, M. Ungaro, H. Voskanyan, D. P. Watts, M. H. Wood, N. Zachariou, J. Zhang, Z. W. Zhao

We report the first beam-target double-polarization asymmetries in the $\gamma + n(p) \rightarrow \pi^- + p(p)$ reaction spanning the nucleon resonance region from invariant mass $W$= $1500$ to $2300$ MeV. Circularly polarized photons and longitudinally polarized deuterons in $H\!D$ have been used with the CLAS detector at Jefferson Lab. The exclusive final state has been extracted using three very different analyses that show excellent agreement, and these have been used to deduce the {\it{E}} polarization observable for an effective neutron target. Read More

Reusable model design becomes desirable with the rapid expansion of machine learning applications. In this paper, we focus on the reusability of pre-trained deep convolutional models. Specifically, different from treating pre-trained models as feature extractors, we reveal more treasures beneath convolutional layers, i. Read More

Multi-view high-dimensional data become increasingly popular in the big data era. Feature selection is a useful technique for alleviating the curse of dimensionality in multi-view learning. In this paper, we study unsupervised feature selection for multi-view data, as class labels are usually expensive to obtain. Read More

For human pose estimation in monocular images, joint occlusions and overlapping upon human bodies often result in deviated pose predictions. Under these circumstances, biologically implausible pose predictions may be produced. In contrast, human vision is able to predict poses by exploiting geometric constraints of joint inter-connectivity. Read More

We investigate the transient photoexcited lattice dynamics in a layered perovskite Mott insulator Sr2IrO4 by femtosecond X-ray diffraction using a laser plasma-based X-ray source. Ultrafast structural dynamics of Sr2IrO4 thin films are determined by observing the shift and broadening of the (0012) Bragg diffraction after excitation by 1.5 eV and 3. Read More

A connected compact subset $E$ of $\RR^N$ is said to be a strict Whitney set if there exists a real-valued $C^1$ function $f$ on $\RR^N$ with $\nabla f|_E\equiv 0$ such that $f$ is constant on no non-empty relatively open subsets of $E$. We prove that each self-similar arc of Hausdorff dimension $s>1$ in $\RR^N$ is a strict Whitney set with criticality $s$. We also study a special kind of self-similar arcs, which we call "regular" self-similar arcs. Read More

2017Mar
Authors: CLAS Collaboration, I. Bedlinskiy, V. Kubarovsky, P. Stoler, K. P. Adhikari, Z. Akbar, S. Anefalos Pereira, H. Avakian, J. Ball, N. A. Baltzell, M. Battaglieri, V. Batourine, A. S. Biselli, S. Boiarinov, W. J. Briscoe, V. D. Burkert, T. Cao, D. S. Carman, A. Celentano, S. Chandavar, G. Charles, G. Ciullo, L. Clark, L. Colaneri, P. L. Cole, M. Contalbrigo, V. Crede, A. D'Angelo, N. Dashyan, R. De Vita, E. De Sanctis, A. Deur, C. Djalali, R. Dupre, A. El Alaoui, L. El Fassi, L. Elouadrhiri, P. Eugenio, E. Fanchini, G. Fedotov, R. Fersch, A. Filippi, J. A. Fleming, T. A. Forest, M. Garçon, N. Gevorgyan, Y. Ghandilyan, G. P. Gilfoyle, K. L. Giovanetti, F. X. Girod, C. Gleason, E. Golovatch, R. W. Gothe, K. A. Griffioen, M. Guidal, L. Guo, K. Hafidi, H. Hakobyan, C. Hanretty, N. Harrison, M. Hattawy, K. Hicks, S. M. Hughes, C. E. Hyde, Y. Ilieva, D. G. Ireland, B. S. Ishkhanov, E. L. Isupov, D. Jenkins, H. Jiang, H. S. Jo, K. Joo, S. Joosten, D. Keller, G. Khachatryan, M. Khachatryan, M. Khandaker, A. Kim, W. Kim, F. J. Klein, S. E. Kuhn, S. V. Kuleshov, L. Lanza, P. Lenisa, K. Livingston, I. J. D. MacGregor, N. Markov, B. McKinnon, Z. E. Meziani, M. Mirazita, V. Mokeev, R. A. Montgomery, A. Movsisyan, C. Munoz Camacho, P. Nadel-Turonski, L. A. Net, A. Ni, S. Niccolai, G. Niculescu, M. Osipenko, A. I. Ostrovidov, M. Paolone, R. Paremuzyan, K. Park, E. Pasyuk, P. Peng, W. Phelps, S. Pisano, O. Pogorelko, J. W. Price, Y. Prok, D. Protopopescu, A. J. R. Puckett, B. A. Raue, M. Ripani, A. Rizzo, G. Rosner, P. Rossi, P. Roy, F. Sabatié, M. S. Saini, C. Salgado, R. A. Schumacher, Y. G. Sharabian, Iu. Skorodumina, G. D. Smith, D. Sokhan, N. Sparveris, S. Stepanyan, I. I. Strakovsky, S. Strauch, M. Taiuti, Ye Tian, B. Torayev, M. Turisini, M. Ungaro, H. Voskanyan, E. Voutier, N. K. Walford, D. P. Watts, X. Wei, L. B. Weinstein, M. H. Wood, M. Yurov, N. Zachariou, J. Zhang, I. Zonta

The cross section of the exclusive $\eta$ electroproduction reaction $ep\to e^\prime p^\prime \eta$ was measured at Jefferson Lab with a 5.75-GeV electron beam and the CLAS detector. Differential cross sections $d^4\sigma/dtdQ^2dx_Bd\phi_\eta$ and structure functions $\sigma_U = \sigma_T+\epsilon\sigma_L, \sigma_{TT}$ and $\sigma_{LT}$, as functions of $t$ were obtained over a wide range of $Q^2$ and $x_B$. Read More

We present an efficient approach of Finite Element Method (FEM)-based nonrigid image registration, in which the spatial transformation is constructed using truncated hierarchical B-splines (THB-splines). The image registration framework minimizes an energy functional using an FEM-based method and thus involves solving a large system of linear equations. This framework is carried out on a set of successively refined grids. Read More

A long-term energy option that is just approaching the horizon after decades of struggle, is fusion. Recent developments allow us to apply techniques from spin physics to advance its viability. The cross section for the primary fusion fuel in a tokamak reactor, D+T=>alpha+n, would be increased by a factor of 1. Read More

We present a tunneling study on single crystalline parent cuprate thin films, i.e. a series of Pr2CuO4+/-{\delta}(PCO) with tunable superconducting transition temperature. Read More

The integration of different two-dimensional materials within a multilayer van der Waals (vdW) heterostructure offers a promising technology for realizing high performance opto-electronic devices such as photodetectors and light sources1-3. Transition metal dichalcogenides, e.g. Read More

2017Mar
Authors: P. Collins, B. G. Ritchie, M. Dugger, A. V. Anisovich, M. Döring, E. Klempt, V. A. Nikonov, D. Rönchen, D. Sadasivan, A. Sarantsev, K. P. Adhikaria, Z. Akbar, M. J. Amaryana, S. Anefalos Pereira, H. Avakiana, J. Ball, I. Balossino, M. Bashkanova, M. Battaglieri, I. Bedlinskiy, A. S. Bisellik, W. J. Briscoe, W. K. Brooks, V. D. Burkert, Frank Thanh Cao, D. S. Carman, A. Celentano, S. Chandavar, G. Charles, T. Chetry, G. Ciullo, L. Clark, L. Colaneri, P. L. Cole, N. Compton, M. Contalbrigo, O. Cortes, V. Crede, A. D'Angelo, N. Dashyan, R. De Vita, E. De Sanctis, A. Deur, C. Djalali, R. Dupre, H. Egiyan, A. El Alaoui, L. El Fassi, L. Elouadrhiri, P. Eugenio, E. Fanchini, G. Fedotov, A. Filippi, J. A. Fleming, Y. Ghandilyan, G. P. Gilfoyle, K. L. Giovanetti, F. X. Girod, D. I. Glazier, C. Gleason, E. Golovatch, R. W. Gothe, K. A. Griffioen, L. Guo, K. Hafidi, H. Hakobyan, C. Hanretty, N. Harrison, D. Heddle, K. Hicks, M. Holtrop, S. M. Hughes, Y. Ilieva, D. G. Ireland, B. S. Ishkhanov, E. L. Isupov, D. Jenkins, H. S. Jo, S. Joosten, D. Keller, G. Khachatryan, M. Khachatryan, M. Khandaker, A. Kim, W. Kim, A. Klein, F. J. Klein, V. Kubarovsky, L. Lanza, P. Lenisa, K. Livingston, I. J. D. MacGregor, N. Markov, B. McKinnon, C. A. Meyer, M. Mirazita, V. Mokeev, R. A. Montgomery, A Movsisyan, C. Munoz Camacho, G. Murdoch, P. Nadel-Turonski, S. Niccolai, G. Niculescu, I. Niculescu, M. Osipenko, A. I. Ostrovidov, M. Paolone, R. Paremuzyan, K. Park, E. Pasyuk, W. Phelps, S. Pisano, O. Pogorelko, J. W. Price, Y. Prok, D. Protopopescu, B. A. Raue, M. Ripani, A. Rizzo, G. Rosner, P. Roy, F. Sabatié, C. Salgado, R. A. Schumacher, Y. G. Sharabian, Iu. Skorodumina, G. D. Smith, D. Sokhan, N. Sparveris, S. Stepanyan, I. I. Strakovsky, S. Strauch, M. Taiuti, Ye Tian, B. Torayev, M. Ungaro, H. Voskanyan, E. Voutier, N. K. Walford, X. Wei, N. Zachariou, J. Zhang

Measurements of the linearly-polarized photon beam asymmetry $\Sigma$ for photoproduction from the proton of $\eta$ and $\eta^\prime$ mesons are reported. A linearly-polarized tagged photon beam produced by coherent bremsstrahlung was incident on a cryogenic hydrogen target within the CEBAF Large Acceptance Spectrometer. Results are presented for the $\gamma p \to \eta p$ reaction for incident photon energies from 1. Read More

Nano-polycrystalline diamond (NPD) and nanotwinned diamond (NtD) were successfully synthesized in multi-anvil high pressure apparatus at high pressure and high temperature (HPHT) conditions using precursors of onion carbons. We found that the choices of distinct onion carbons with hollow or multi-cored microstructures lead to the synthesis of different diamond products of NPD or NtD ones. High quality NtD with an average twin size of 6. Read More

This study is concerned with the dynamical behaviors of epidemic spreading over a two-layered interconnected network. Three models in different levels are proposed to describe cooperative spreading processes over the interconnected network, wherein the disease in one network can spread to the other. Theoretical analysis is provided for each model to reveal that the global epidemic threshold in the interconnected network is not larger than the epidemic thresholds for the two isolated layered networks. Read More

Transition metal dichalcogenides (TMDCs) have gained considerable attention because of their novel properties and great potential applications. The flakes of TMDCs not only have great light absorptions from visible to near infrared, but also can be stacked together regardless of lattice mismatch like other two-dimensional (2D) materials. Along with the studies on intrinsic properties of TMDCs, the junctions based on TMDCs become more and more important in applications of photodetection. Read More

Electronic and topological properties of MoS2 monolayers endowed with 3d transition metal (TM) adatoms (V-Fe) are explored by using ab initio methods and k.p models. Without the consideration of the Hubbard U interaction, the V, Cr, and Fe adatoms tend to locate on the top of the Mo atoms, while the most stable site for the Mn atom is at the hollow position of the Mo-S hexagon. Read More

This paper considers the recovery of group sparse signals over a multi-agent network, where the measurements are subject to sparse errors. We first investigate the robust group LASSO model and its centralized algorithm based on the alternating direction method of multipliers (ADMM), which requires a central fusion center to compute a global row-support detector. To implement it in a decentralized network environment, we then adopt dynamic average consensus strategies that enable dynamic tracking of the global row-support detector. Read More

We investigate numerically the Princeton magneto-rotational instability (MRI) experiment and the effect of conducting axial boundaries or endcaps. MRI is identified and found to reach a much higher saturation than for insulating endcaps. This is probably due to stronger driving of the base flow by the magnetically rather than viscously coupled boundaries. Read More

2016Nov
Authors: P. E. Bosted1, A. Kim2, K. P. Adhikari3, D. Adikaram4, Z. Akbar5, M. J. Amaryan6, S. Anefalos Pereira7, H. Avakian8, R. A. Badui9, J. Ball10, I. Balossino11, M. Battaglieri12, I. Bedlinskiy13, A. S. Biselli14, S. Boiarinov15, W. J. Briscoe16, W. K. Brooks17, S. Bültmann18, V. D. Burkert19, T. Cao20, D. S. Carman21, A. Celentano22, S. Chandavar23, G. Charles24, T. Chetry25, G. Ciullo26, L. Clark27, L. Colaneri28, P. L. Cole29, M. Contalbrigo30, O. Cortes31, V. Crede32, A. D'Angelo33, N. Dashyan34, R. De Vita35, E. De Sanctis36, A. Deur37, C. Djalali38, R. Dupre39, H. Egiyan40, A. El Alaoui41, L. El Fassi42, L. Elouadrhiri43, P. Eugenio44, E. Fanchini45, G. Fedotov46, S. Fegan47, R. Fersch48, A. Filippi49, J. A. Fleming50, T. A. Forest51, A. Fradi52, Y. Ghandilyan53, G. P. Gilfoyle54, F. X. Girod55, D. I. Glazier56, W. Gohn57, E. Golovatch58, R. W. Gothe59, K. A. Griffioen60, M. Guidal61, N. Guler62, H. Hakobyan63, L. Guo64, K. Hafidi65, H. Hakobyan66, C. Hanretty67, N. Harrison68, M. Hattawy69, D. Heddle70, K. Hicks71, G. Hollis72, M. Holtrop73, S. M. Hughes74, D. G. Ireland75, E. L. Isupov76, D. Jenkins77, H. Jiang78, H. S. Jo79, K. Joo80, D. Keller81, G. Khachatryan82, M. Khandaker83, W. Kim84, A. Klei85, F. J. Klein86, S. Koirala87, V. Kubarovsky88, S. E. Kuhn89, L. Lanza90, P. Lenisa91, K. Livingston92, H. Y. Lu93, I. J. D. MacGregor94, N. Markov95, M. Mayer96, M. E. McCracken97, B. McKinnon98, T. Mineeva99, M. Mirazita100, V. I. Mokeev101, R. A. Montgomery102, A Movsisyan103, C. Munoz Camacho104, G. Murdoch105, P. Nadel-Turonski106, A. Ni107, S. Niccolai108, G. Niculescu109, M. Osipenko110, A. I. Ostrovidov111, M. Paolone112, R. Paremuzyan113, K. Park114, E. Pasyuk115, W. Phelps116, S. Pisano117, O. Pogorelko118, J. W. Price119, Y. Prok120, D. Protopopescu121, A. J. R. Puckett122, B. A. Raue123, M. Ripani124, A. Rizzo125, G. Rosner126, P. Rossi127, P. Roy128, F. Sabatié129, M. S. Saini130, R. A. Schumacher131, E. Seder132, Y. G. Sharabian133, Iu. Skorodumina134, G. D. Smith135, D. Sokhan136, N. Sparveris137, I. Stankovic138, S. Stepanyan139, P. Stoler140, I. I. Strakovsky141, S. Strauch142, M. Taiuti143, Ye Tian144, B. Torayev145, M. Ungaro146, H. Voskanyan147, E. Voutier148, N. K. Walford149, D. P. Watts150, X. Wei151, L. B. Weinstein152, N. Zachariou153, J. Zhang154, Z. W. Zhao155, I. Zonta156
Affiliations: 1The CLAS Collaboration, 2The CLAS Collaboration, 3The CLAS Collaboration, 4The CLAS Collaboration, 5The CLAS Collaboration, 6The CLAS Collaboration, 7The CLAS Collaboration, 8The CLAS Collaboration, 9The CLAS Collaboration, 10The CLAS Collaboration, 11The CLAS Collaboration, 12The CLAS Collaboration, 13The CLAS Collaboration, 14The CLAS Collaboration, 15The CLAS Collaboration, 16The CLAS Collaboration, 17The CLAS Collaboration, 18The CLAS Collaboration, 19The CLAS Collaboration, 20The CLAS Collaboration, 21The CLAS Collaboration, 22The CLAS Collaboration, 23The CLAS Collaboration, 24The CLAS Collaboration, 25The CLAS Collaboration, 26The CLAS Collaboration, 27The CLAS Collaboration, 28The CLAS Collaboration, 29The CLAS Collaboration, 30The CLAS Collaboration, 31The CLAS Collaboration, 32The CLAS Collaboration, 33The CLAS Collaboration, 34The CLAS Collaboration, 35The CLAS Collaboration, 36The CLAS Collaboration, 37The CLAS Collaboration, 38The CLAS Collaboration, 39The CLAS Collaboration, 40The CLAS Collaboration, 41The CLAS Collaboration, 42The CLAS Collaboration, 43The CLAS Collaboration, 44The CLAS Collaboration, 45The CLAS Collaboration, 46The CLAS Collaboration, 47The CLAS Collaboration, 48The CLAS Collaboration, 49The CLAS Collaboration, 50The CLAS Collaboration, 51The CLAS Collaboration, 52The CLAS Collaboration, 53The CLAS Collaboration, 54The CLAS Collaboration, 55The CLAS Collaboration, 56The CLAS Collaboration, 57The CLAS Collaboration, 58The CLAS Collaboration, 59The CLAS Collaboration, 60The CLAS Collaboration, 61The CLAS Collaboration, 62The CLAS Collaboration, 63The CLAS Collaboration, 64The CLAS Collaboration, 65The CLAS Collaboration, 66The CLAS Collaboration, 67The CLAS Collaboration, 68The CLAS Collaboration, 69The CLAS Collaboration, 70The CLAS Collaboration, 71The CLAS Collaboration, 72The CLAS Collaboration, 73The CLAS Collaboration, 74The CLAS Collaboration, 75The CLAS Collaboration, 76The CLAS Collaboration, 77The CLAS Collaboration, 78The CLAS Collaboration, 79The CLAS Collaboration, 80The CLAS Collaboration, 81The CLAS Collaboration, 82The CLAS Collaboration, 83The CLAS Collaboration, 84The CLAS Collaboration, 85The CLAS Collaboration, 86The CLAS Collaboration, 87The CLAS Collaboration, 88The CLAS Collaboration, 89The CLAS Collaboration, 90The CLAS Collaboration, 91The CLAS Collaboration, 92The CLAS Collaboration, 93The CLAS Collaboration, 94The CLAS Collaboration, 95The CLAS Collaboration, 96The CLAS Collaboration, 97The CLAS Collaboration, 98The CLAS Collaboration, 99The CLAS Collaboration, 100The CLAS Collaboration, 101The CLAS Collaboration, 102The CLAS Collaboration, 103The CLAS Collaboration, 104The CLAS Collaboration, 105The CLAS Collaboration, 106The CLAS Collaboration, 107The CLAS Collaboration, 108The CLAS Collaboration, 109The CLAS Collaboration, 110The CLAS Collaboration, 111The CLAS Collaboration, 112The CLAS Collaboration, 113The CLAS Collaboration, 114The CLAS Collaboration, 115The CLAS Collaboration, 116The CLAS Collaboration, 117The CLAS Collaboration, 118The CLAS Collaboration, 119The CLAS Collaboration, 120The CLAS Collaboration, 121The CLAS Collaboration, 122The CLAS Collaboration, 123The CLAS Collaboration, 124The CLAS Collaboration, 125The CLAS Collaboration, 126The CLAS Collaboration, 127The CLAS Collaboration, 128The CLAS Collaboration, 129The CLAS Collaboration, 130The CLAS Collaboration, 131The CLAS Collaboration, 132The CLAS Collaboration, 133The CLAS Collaboration, 134The CLAS Collaboration, 135The CLAS Collaboration, 136The CLAS Collaboration, 137The CLAS Collaboration, 138The CLAS Collaboration, 139The CLAS Collaboration, 140The CLAS Collaboration, 141The CLAS Collaboration, 142The CLAS Collaboration, 143The CLAS Collaboration, 144The CLAS Collaboration, 145The CLAS Collaboration, 146The CLAS Collaboration, 147The CLAS Collaboration, 148The CLAS Collaboration, 149The CLAS Collaboration, 150The CLAS Collaboration, 151The CLAS Collaboration, 152The CLAS Collaboration, 153The CLAS Collaboration, 154The CLAS Collaboration, 155The CLAS Collaboration, 156The CLAS Collaboration

Beam-target double-spin asymmetries and target single-spin asymmetries were measured for the exclusive $\pi^0$ electroproduction reaction $\gamma^* p \to p \pi^0$, expanding an analysis of the $\gamma^* p \to n \pi^+$ reaction from the same experiment. The results were obtained from scattering of 6 GeV longitudinally polarized electrons off longitudinally polarized protons using the CEBAF Large Acceptance Spectrometer at Jefferson Lab. The kinematic range covered is $1. Read More

In the era of big data, it is becoming common to have data with multiple modalities or coming from multiple sources, known as "multi-view data". Multi-view data are usually unlabeled and come from high-dimensional spaces (such as language vocabularies), unsupervised multi-view feature selection is crucial to many applications. However, it is nontrivial due to the following challenges. Read More

Performance guarantees for compression in nonlinear models under non-Gaussian observations can be achieved through the use of distributional characteristics that are sensitive to the distance to normality, and which in particular return the value of zero under Gaussian or linear sensing. The use of these characteristics, or discrepancies, improves some previous results in this area by relaxing conditions and tightening performance bounds. In addition, these characteristics are tractable to compute when Gaussian sensing is corrupted by either additive errors or mixing. Read More

We study high-dimensional signal recovery from non-linear measurements with design vectors having elliptically symmetric distribution. Special attention is devoted to the situation when the unknown signal belongs to a set of low statistical complexity, while both the measurements and the design vectors are heavy-tailed. We propose and analyze a new estimator that adapts to the structure of the problem, while being robust both to the possible model misspecification characterized by arbitrary non-linearity of the measurements as well as to data corruption modeled by the heavy-tailed distributions. Read More

We proposed an efficient iterative thresholding method for multi-phase image segmentation. The algorithm is based on minimizing piecewise constant Mumford-Shah functional in which the contour length (or perimeter) is approximated by a non-local multi-phase energy. The minimization problem is solved by an iterative method. Read More

This paper considers optimization over multiple renewal systems coupled by time average constraints. These systems act asynchronously over variable length frames. For each system, at the beginning of each renewal frame, it chooses an action which affects the duration of its own frame, the penalty, and the resource expenditure throughout the frame. Read More

2016Jul
Authors: P. E. Bosted1, M. J. Amaryan2, S. Anefalos Pereira3, H. Avakian4, R. A. Badui5, J. Ball6, N. A. Baltzell7, M. Battaglieri8, V. Batourine9, I. Bedlinskiy10, A. S. Biselli11, W. J. Briscoe12, S. Bültmann13, V. D. Burkert14, D. S. Carman15, A. Celentano16, S. Chandavar17, G. Charles18, L. Clark19, L. Colaneri20, P. L. Cole21, M. Contalbrigo22, V. Crede23, A. D'Angelo24, R. De Vita25, A. Deur26, E. De Sanctis27, C. Djalali28, R. Dupre29, H. Egiyan30, A. El Alaoui31, L. El Fassi32, L. Elouadrhiri33, P. Eugenio34, E. Fanchini35, G. Fedotov36, A. Filippi37, J. A. Fleming38, T. Forest39, A. Fradi40, N. Gevorgyan41, G. P. Gilfoyle42, F. X. Girod43, C. Gleason44, W. Gohn45, E. Golovatch46, R. W. Gothe47, K. A. Griffioen48, M. Guidal49, H. Hakobyan50, M. Hattawy51, K. Hicks52, M. Holtrop53, S. M. Hughes54, Y. Ilieva55, D. G. Ireland56, B. S. Ishkhanov57, E. L. Isupov58, H. Jiang59, H. S. Jo60, K. Joo61, S. Joosten62, G. Khachatryan63, M. Khandaker64, A. Kim65, W. Kim66, F. J. Klein67, S. Koirala68, V. Kubarovsky69, S. E. Kuhn70, L. Lanza71, L. A. Net72, P. Lenisa73, K. Livingston74, I. J. D. MacGregor75, M. E. McCracken76, B. McKinnon77, C. A. Meyer78, M. Mirazita79, V. I. Mokeev80, R. A. Montgomery81, E. Munevar82, C. Munoz Camacho83, G. Murdoch84, P. Nadel-Turonski85, S. Niccolai86, M. Osipenko87, A. I. Ostrovidov88, K. Park89, E. Pasyuk90, P. Peng91, W. Phelps92, S. Pisano93, O. Pogorelko94, J. W. Price95, Y. Prok96, D. Protopopescu97, B. A. Raue98, M. Ripani99, G. Rosner100, P. Rossi101, R. A. Schumacher102, Iu. Skorodumina103, G. D. Smith104, D. Sokhan105, N. Sparveris106, I. Stankovic107, I. I. Strakovsky108, S. Strauch109, M. Taiuti110, B. Torayev111, M. Ungaro112, H. Voskanyan113, E. Voutier114, X. Wei115, L. B. Weinstein116, J. Zhang117, I. Zonta118
Affiliations: 1CLAS Collaboration, 2CLAS Collaboration, 3CLAS Collaboration, 4CLAS Collaboration, 5CLAS Collaboration, 6CLAS Collaboration, 7CLAS Collaboration, 8CLAS Collaboration, 9CLAS Collaboration, 10CLAS Collaboration, 11CLAS Collaboration, 12CLAS Collaboration, 13CLAS Collaboration, 14CLAS Collaboration, 15CLAS Collaboration, 16CLAS Collaboration, 17CLAS Collaboration, 18CLAS Collaboration, 19CLAS Collaboration, 20CLAS Collaboration, 21CLAS Collaboration, 22CLAS Collaboration, 23CLAS Collaboration, 24CLAS Collaboration, 25CLAS Collaboration, 26CLAS Collaboration, 27CLAS Collaboration, 28CLAS Collaboration, 29CLAS Collaboration, 30CLAS Collaboration, 31CLAS Collaboration, 32CLAS Collaboration, 33CLAS Collaboration, 34CLAS Collaboration, 35CLAS Collaboration, 36CLAS Collaboration, 37CLAS Collaboration, 38CLAS Collaboration, 39CLAS Collaboration, 40CLAS Collaboration, 41CLAS Collaboration, 42CLAS Collaboration, 43CLAS Collaboration, 44CLAS Collaboration, 45CLAS Collaboration, 46CLAS Collaboration, 47CLAS Collaboration, 48CLAS Collaboration, 49CLAS Collaboration, 50CLAS Collaboration, 51CLAS Collaboration, 52CLAS Collaboration, 53CLAS Collaboration, 54CLAS Collaboration, 55CLAS Collaboration, 56CLAS Collaboration, 57CLAS Collaboration, 58CLAS Collaboration, 59CLAS Collaboration, 60CLAS Collaboration, 61CLAS Collaboration, 62CLAS Collaboration, 63CLAS Collaboration, 64CLAS Collaboration, 65CLAS Collaboration, 66CLAS Collaboration, 67CLAS Collaboration, 68CLAS Collaboration, 69CLAS Collaboration, 70CLAS Collaboration, 71CLAS Collaboration, 72CLAS Collaboration, 73CLAS Collaboration, 74CLAS Collaboration, 75CLAS Collaboration, 76CLAS Collaboration, 77CLAS Collaboration, 78CLAS Collaboration, 79CLAS Collaboration, 80CLAS Collaboration, 81CLAS Collaboration, 82CLAS Collaboration, 83CLAS Collaboration, 84CLAS Collaboration, 85CLAS Collaboration, 86CLAS Collaboration, 87CLAS Collaboration, 88CLAS Collaboration, 89CLAS Collaboration, 90CLAS Collaboration, 91CLAS Collaboration, 92CLAS Collaboration, 93CLAS Collaboration, 94CLAS Collaboration, 95CLAS Collaboration, 96CLAS Collaboration, 97CLAS Collaboration, 98CLAS Collaboration, 99CLAS Collaboration, 100CLAS Collaboration, 101CLAS Collaboration, 102CLAS Collaboration, 103CLAS Collaboration, 104CLAS Collaboration, 105CLAS Collaboration, 106CLAS Collaboration, 107CLAS Collaboration, 108CLAS Collaboration, 109CLAS Collaboration, 110CLAS Collaboration, 111CLAS Collaboration, 112CLAS Collaboration, 113CLAS Collaboration, 114CLAS Collaboration, 115CLAS Collaboration, 116CLAS Collaboration, 117CLAS Collaboration, 118CLAS Collaboration

Beam-target double-spin asymmetries and target single-spin asymmetries were measured for the exclusive $\pi^+$ electroproduction reaction $\gamma^* p \to n \pi^+$. The results were obtained from scattering of 6 GeV longitudinally polarized electrons off longitudinally polarized protons using the CEBAF Large Acceptance Spectrometer at Jefferson Lab. The kinematic range covered is $1. Read More

2016Jul
Authors: X. Zheng1, K. P. Adhikari2, P. Bosted3, A. Deur4, V. Drozdov5, L. El Fassi6, Hyekoo Kang7, K. Kovacs8, S. Kuhn9, E. Long10, S. K. Phillips11, M. Ripani12, K. Slifer13, L. C. Smith14, D. Adikaram15, Z. Akbar16, M. J. Amaryan17, S. Anefalos Pereira18, G. Asryan19, H. Avakian20, R. A. Badui21, J. Ball22, N. A. Baltzell23, M. Battaglieri24, V. Batourine25, I. Bedlinskiy26, A. S. Biselli27, W. J. Briscoe28, S. Bültmann29, V. D. Burkert30, D. S. Carman31, A. Celentano32, S. Chandavar33, G. Charles34, J. -P. Chen35, T. Chetry36, Seonho Choi37, G. Ciullo38, L. Clark39, L. Colaneri40, P. L. Cole41, N. Compton42, M. Contalbrigo43, V. Crede44, A. D'Angelo45, N. Dashyan46, R. De Vita47, E. De Sanctis48, C. Djalali49, G. E. Dodge50, R. Dupre51, H. Egiyan52, A. El Alaoui53, L. Elouadrhiri54, P. Eugenio55, E. Fanchini56, G. Fedotov57, R. Fersch58, A. Filippi59, J. A. Fleming60, N. Gevorgyan61, Y. Ghandilyan62, G. P. Gilfoyle63, K. L. Giovanetti64, F. X. Girod65, C. Gleason66, E. Golovach67, R. W. Gothe68, K. A. Griffioen69, M. Guidal70, N. Guler71, L. Guo72, C. Hanretty73, N. Harrison74, M. Hattawy75, K. Hicks76, M. Holtrop77, S. M. Hughes78, Y. Ilieva79, D. G. Ireland80, B. S. Ishkhanov81, E. L. Isupov82, D. Jenkins83, H. Jiang84, H. S. Jo85, S. Joosten86, D. Keller87, G. Khachatryan88, M. Khandaker89, A. Kim90, W. Kim91, F. J. Klein92, V. Kubarovsky93, L. Lanza94, P. Lenisa95, K. Livingston96, I . J . D. MacGregor97, N. Markov98, B. McKinnon99, M. Mirazita100, V. Mokeev101, A. Movsisyan102, E. Munevar103, C. Munoz Camacho104, G. Murdoch105, P. Nadel-Turonski106, L. A. Net107, A. Ni108, S. Niccolai109, G. Niculescu110, I. Niculescu111, M. Osipenko112, A. I. Ostrovidov113, M. Paolone114, R. Paremuzyan115, K. Park116, E. Pasyuk117, P. Peng118, S. Pisano119, O. Pogorelko120, J. W. Price121, A. J. R. Puckett122, B. A. Raue123, A. Rizzo124, G. Rosner125, P. Rossi126, P. Roy127, F. Sabatié128, C. Salgado129, R. A. Schumacher130, Y. G. Sharabian131, Iu. Skorodumina132, G. D. Smith133, D. Sokhan134, N. Sparveris135, I. Stankovic136, I. I. Strakovsky137, S. Strauch138, M. Taiuti139, Ye Tian140, M. Ungaro141, H. Voskanyan142, E. Voutier143, N. K. Walford144, D. P. Watts145, X. Wei146, L. B. Weinstein147, M. H. Wood148, N. Zachariou149, J. Zhang150
Affiliations: 1The CLAS Collaboration, 2The CLAS Collaboration, 3The CLAS Collaboration, 4The CLAS Collaboration, 5The CLAS Collaboration, 6The CLAS Collaboration, 7The CLAS Collaboration, 8The CLAS Collaboration, 9The CLAS Collaboration, 10The CLAS Collaboration, 11The CLAS Collaboration, 12The CLAS Collaboration, 13The CLAS Collaboration, 14The CLAS Collaboration, 15The CLAS Collaboration, 16The CLAS Collaboration, 17The CLAS Collaboration, 18The CLAS Collaboration, 19The CLAS Collaboration, 20The CLAS Collaboration, 21The CLAS Collaboration, 22The CLAS Collaboration, 23The CLAS Collaboration, 24The CLAS Collaboration, 25The CLAS Collaboration, 26The CLAS Collaboration, 27The CLAS Collaboration, 28The CLAS Collaboration, 29The CLAS Collaboration, 30The CLAS Collaboration, 31The CLAS Collaboration, 32The CLAS Collaboration, 33The CLAS Collaboration, 34The CLAS Collaboration, 35The CLAS Collaboration, 36The CLAS Collaboration, 37The CLAS Collaboration, 38The CLAS Collaboration, 39The CLAS Collaboration, 40The CLAS Collaboration, 41The CLAS Collaboration, 42The CLAS Collaboration, 43The CLAS Collaboration, 44The CLAS Collaboration, 45The CLAS Collaboration, 46The CLAS Collaboration, 47The CLAS Collaboration, 48The CLAS Collaboration, 49The CLAS Collaboration, 50The CLAS Collaboration, 51The CLAS Collaboration, 52The CLAS Collaboration, 53The CLAS Collaboration, 54The CLAS Collaboration, 55The CLAS Collaboration, 56The CLAS Collaboration, 57The CLAS Collaboration, 58The CLAS Collaboration, 59The CLAS Collaboration, 60The CLAS Collaboration, 61The CLAS Collaboration, 62The CLAS Collaboration, 63The CLAS Collaboration, 64The CLAS Collaboration, 65The CLAS Collaboration, 66The CLAS Collaboration, 67The CLAS Collaboration, 68The CLAS Collaboration, 69The CLAS Collaboration, 70The CLAS Collaboration, 71The CLAS Collaboration, 72The CLAS Collaboration, 73The CLAS Collaboration, 74The CLAS Collaboration, 75The CLAS Collaboration, 76The CLAS Collaboration, 77The CLAS Collaboration, 78The CLAS Collaboration, 79The CLAS Collaboration, 80The CLAS Collaboration, 81The CLAS Collaboration, 82The CLAS Collaboration, 83The CLAS Collaboration, 84The CLAS Collaboration, 85The CLAS Collaboration, 86The CLAS Collaboration, 87The CLAS Collaboration, 88The CLAS Collaboration, 89The CLAS Collaboration, 90The CLAS Collaboration, 91The CLAS Collaboration, 92The CLAS Collaboration, 93The CLAS Collaboration, 94The CLAS Collaboration, 95The CLAS Collaboration, 96The CLAS Collaboration, 97The CLAS Collaboration, 98The CLAS Collaboration, 99The CLAS Collaboration, 100The CLAS Collaboration, 101The CLAS Collaboration, 102The CLAS Collaboration, 103The CLAS Collaboration, 104The CLAS Collaboration, 105The CLAS Collaboration, 106The CLAS Collaboration, 107The CLAS Collaboration, 108The CLAS Collaboration, 109The CLAS Collaboration, 110The CLAS Collaboration, 111The CLAS Collaboration, 112The CLAS Collaboration, 113The CLAS Collaboration, 114The CLAS Collaboration, 115The CLAS Collaboration, 116The CLAS Collaboration, 117The CLAS Collaboration, 118The CLAS Collaboration, 119The CLAS Collaboration, 120The CLAS Collaboration, 121The CLAS Collaboration, 122The CLAS Collaboration, 123The CLAS Collaboration, 124The CLAS Collaboration, 125The CLAS Collaboration, 126The CLAS Collaboration, 127The CLAS Collaboration, 128The CLAS Collaboration, 129The CLAS Collaboration, 130The CLAS Collaboration, 131The CLAS Collaboration, 132The CLAS Collaboration, 133The CLAS Collaboration, 134The CLAS Collaboration, 135The CLAS Collaboration, 136The CLAS Collaboration, 137The CLAS Collaboration, 138The CLAS Collaboration, 139The CLAS Collaboration, 140The CLAS Collaboration, 141The CLAS Collaboration, 142The CLAS Collaboration, 143The CLAS Collaboration, 144The CLAS Collaboration, 145The CLAS Collaboration, 146The CLAS Collaboration, 147The CLAS Collaboration, 148The CLAS Collaboration, 149The CLAS Collaboration, 150The CLAS Collaboration

We report measurements of target- and double-spin asymmetries for the exclusive channel $\vec e\vec p\to e\pi^+ (n)$ in the nucleon resonance region at Jefferson Lab using the CEBAF Large Acceptance Spectrometer (CLAS). These asymmetries were extracted from data obtained using a longitudinally polarized NH$_3$ target and a longitudinally polarized electron beam with energies 1.1, 1. Read More

Profile images on social networks are users' opportunity to present themselves and to affect how others judge them. We examine what Facebook images say about users' perceived and measured intelligence. 1,122 Facebook users completed a matrices intelligence test and shared their current Facebook profile image. Read More

The fluctuations of the current and voltage of the quantized unit cell equivalent circuit in loss-less mesoscopic left-handed transmission lines (LH TL)are deduced by thermal field dynamics (TFD) theory. And the fluctuations dependent of negative refractive index (NRI) of mesoscopic LH TL is discussed further in thermal Fock state. The results indicate that the quantum fluctuations show linear increasing dependent of NRI, while the frequency within the microwave frequency band and thermal photons show destructive dependent of NRI at some temperature. Read More

We investigated the electronic and optoelectronic properties of vertical van der Waals heterostructure photodetectors using layered p type GaSe and n type InSe, with graphene as the transparent electrodes. Not only the photocurrent peaks from the layered GaSe and InSe themselves were observed, also the interlayer optical transition peak was observed, which is consistent with the first-principles calculation. The built-in electric field between p-n heterojunction and the advantage of the graphene electrodes can effectively separate the photo-induced electron-hole pairs, and thus lead to the response time down to 160 {\mu}s. Read More

For understanding magnetic effects on dynamical tides, we study the rotating magneto-hydrodynamic (MHD) flow driven by harmonic forcing. The linear responses are analytically derived in a periodic box under the local WKB approximation. Both the kinetic and Ohmic dissipations at the resonant frequencies are calculated and the various parameters are investigated. Read More

To understand the generation of the Earth's and planetary magnetic fields, we investigate numerically the combined effect of precession and convection on the dynamo action in a spherical shell. The convection alone, the precession alone and the combined effect of convection and precession are studied at the low Ekman number at which the precessing flow is already unstable. The key result is that although the precession or convection alone is not strong to support the dynamo action the combined effect of precession and convection can support the dynamo action because of the resonance of precessional and convective instabilities. Read More

This paper considers constrained optimization over a renewal system. A controller observes a random event at the beginning of each renewal frame and then chooses an action that affects the duration of the frame, the amount of resources used, and a penalty metric. The goal is to make frame-wise decisions so as to minimize the time average penalty subject to time average resource constraints. Read More

Fine-grained image recognition is a challenging computer vision problem, due to the small inter-class variations caused by highly similar subordinate categories, and the large intra-class variations in poses, scales and rotations. In this paper, we propose a novel end-to-end Mask-CNN model without the fully connected layers for fine-grained recognition. Based on the part annotations of fine-grained images, the proposed model consists of a fully convolutional network to both locate the discriminative parts (e. Read More

Superpixel segmentation is becoming ubiquitous in computer vision. In practice, an object can either be represented by a number of segments in finer levels of detail or included in a surrounding region at coarser levels of detail, and thus a superpixel segmentation hierarchy is useful for applications that require different levels of image segmentation detail depending on the particular image objects segmented. Unfortunately, there is no method that can generate all scales of superpixels accurately in real-time. Read More

We investigate numerically the decay of isotropic, rotating, magnetohydrodynamic (MHD), and rotating MHD flows in a periodic box. The Reynolds number $Re$ defined with the box size and the initial velocity is $100$ at which the flows are in a weakly nonlinear regime, i.e. Read More

For understanding the dissipation in a rotating flow when resonance occurs, we study the rotating flow driven by the harmonic force in a periodic box. Both the linear and nonlinear regimes are studied. The various parameters such as the force amplitude $a$, the force frequency $\omega$, the force wavenumber $k$, and the Ekman number $E$ are investigated. Read More

Deep convolutional models pre-trained for the ImageNet classification task have been successfully adopted to tasks in other domains, such as texture description and object proposal generation, but these tasks require annotations for images in the new domain. In this paper, we focus on a novel and challenging task in the pure unsupervised setting: fine-grained image retrieval. Even with image labels, fine-grained images are difficult to classify, let alone the unsupervised retrieval task. Read More

2016Apr
Authors: P. E. Bosted1, A. S. Biselli2, S. Careccia3, G. Dodge4, R. Fersch5, S. E. Kuhn6, J. Pierce7, Y. Prok8, X. Zheng9, K. P. Adhikari10, D. Adikaram11, Z. Akbar12, M. J. Amaryan13, S. Anefalos Pereira14, G. Asryan15, H. Avakian16, R. A. Badui17, J. Ball18, N. A. Baltzell19, M. Battaglieri20, V. Batourine21, I. Bedlinskiy22, S. Boiarinov23, W. J. Briscoe24, S. Bültmann25, V. D. Burkert26, T. Cao27, D. S. Carman28, A. Celentano29, S. Chandavar30, G. Charles31, T. Chetry32, G. Ciullo33, L. Clark34, L. Colaneri35, P. L. Cole36, M. Contalbrigo37, O. Cortes38, V. Crede39, A. D'Angelo40, N. Dashyan41, R. De Vita42, A. Deur43, C. Djalali44, R. Dupre45, H. Egiyan46, A. El Alaoui47, L. El Fassi48, P. Eugenio49, E. Fanchini50, G. Fedotov51, A. Filippi52, J. A. Fleming53, T. A. Forest54, A. Fradi55, M. Garçon56, N. Gevorgyan57, Y. Ghandilyan58, G. P. Gilfoyle59, K. L. Giovanetti60, F. X. Girod61, C. Gleason62, W. Gohn63, E. Golovatch64, R. W. Gothe65, K. A. Griffioen66, N. Guler67, L. Guo68, K. Hafidi69, C. Hanretty70, N. Harrison71, M. Hattawy72, D. Heddle73, K. Hicks74, M. Holtrop75, S. M. Hughes76, Y. Ilieva77, D. G. Ireland78, B. S. Ishkhanov79, E. L. Isupov80, D. Jenkins81, H. Jiang82, H. S. Jo83, K. Joo84, S. Joosten85, D. Keller86, M. Khandaker87, W. Kim88, A. Klein89, F. J. Klein90, V. Kubarovsky91, S. V. Kuleshov92, L. Lanza93, P. Lenisa94, K. Livingston95, H. Y. Lu96, I . J . D. MacGregor97, N. Markov98, M. E. McCracken99, B. McKinnon100, C. A. Meyer101, R. Minehart102, M. Mirazita103, V. Mokeev104, A Movsisyan105, E. Munevar106, C. Munoz Camacho107, P. Nadel-Turonski108, L. A. Net109, A. Ni110, S. Niccolai111, G. Niculescu112, I. Niculescu113, M. Osipenko114, A. I. Ostrovidov115, R. Paremuzyan116, K. Park117, E. Pasyuk118, P. Peng119, W. Phelps120, S. Pisano121, O. Pogorelko122, J. W. Price123, S. Procureur124, D. Protopopescu125, A. J. R. Puckett126, B. A. Raue127, M. Ripani128, A. Rizzo129, G. Rosner130, P. Rossi131, P. Roy132, F. Sabatié133, C. Salgado134, R. A. Schumacher135, E. Seder136, Y. G. Sharabian137, A. Simonyan138, Iu. Skorodumina139, G. D. Smith140, N. Sparveris141, Ivana Stankovic142, S. Stepanyan143, I. I. Strakovsky144, S. Strauch145, V. Sytnik146, M. Taiuti147, Ye Tian148, B. Torayev149, M. Ungaro150, H. Voskanyan151, E. Voutier152, N. K. Walford153, D. P. Watts154, X. Wei155, L. B. Weinstein156, M. H. Wood157, N. Zachariou158, L. Zana159, J. Zhang160, Z. W. Zhao161, I. Zonta162
Affiliations: 1CLAS Collaboration, 2CLAS Collaboration, 3CLAS Collaboration, 4CLAS Collaboration, 5CLAS Collaboration, 6CLAS Collaboration, 7CLAS Collaboration, 8CLAS Collaboration, 9CLAS Collaboration, 10CLAS Collaboration, 11CLAS Collaboration, 12CLAS Collaboration, 13CLAS Collaboration, 14CLAS Collaboration, 15CLAS Collaboration, 16CLAS Collaboration, 17CLAS Collaboration, 18CLAS Collaboration, 19CLAS Collaboration, 20CLAS Collaboration, 21CLAS Collaboration, 22CLAS Collaboration, 23CLAS Collaboration, 24CLAS Collaboration, 25CLAS Collaboration, 26CLAS Collaboration, 27CLAS Collaboration, 28CLAS Collaboration, 29CLAS Collaboration, 30CLAS Collaboration, 31CLAS Collaboration, 32CLAS Collaboration, 33CLAS Collaboration, 34CLAS Collaboration, 35CLAS Collaboration, 36CLAS Collaboration, 37CLAS Collaboration, 38CLAS Collaboration, 39CLAS Collaboration, 40CLAS Collaboration, 41CLAS Collaboration, 42CLAS Collaboration, 43CLAS Collaboration, 44CLAS Collaboration, 45CLAS Collaboration, 46CLAS Collaboration, 47CLAS Collaboration, 48CLAS Collaboration, 49CLAS Collaboration, 50CLAS Collaboration, 51CLAS Collaboration, 52CLAS Collaboration, 53CLAS Collaboration, 54CLAS Collaboration, 55CLAS Collaboration, 56CLAS Collaboration, 57CLAS Collaboration, 58CLAS Collaboration, 59CLAS Collaboration, 60CLAS Collaboration, 61CLAS Collaboration, 62CLAS Collaboration, 63CLAS Collaboration, 64CLAS Collaboration, 65CLAS Collaboration, 66CLAS Collaboration, 67CLAS Collaboration, 68CLAS Collaboration, 69CLAS Collaboration, 70CLAS Collaboration, 71CLAS Collaboration, 72CLAS Collaboration, 73CLAS Collaboration, 74CLAS Collaboration, 75CLAS Collaboration, 76CLAS Collaboration, 77CLAS Collaboration, 78CLAS Collaboration, 79CLAS Collaboration, 80CLAS Collaboration, 81CLAS Collaboration, 82CLAS Collaboration, 83CLAS Collaboration, 84CLAS Collaboration, 85CLAS Collaboration, 86CLAS Collaboration, 87CLAS Collaboration, 88CLAS Collaboration, 89CLAS Collaboration, 90CLAS Collaboration, 91CLAS Collaboration, 92CLAS Collaboration, 93CLAS Collaboration, 94CLAS Collaboration, 95CLAS Collaboration, 96CLAS Collaboration, 97CLAS Collaboration, 98CLAS Collaboration, 99CLAS Collaboration, 100CLAS Collaboration, 101CLAS Collaboration, 102CLAS Collaboration, 103CLAS Collaboration, 104CLAS Collaboration, 105CLAS Collaboration, 106CLAS Collaboration, 107CLAS Collaboration, 108CLAS Collaboration, 109CLAS Collaboration, 110CLAS Collaboration, 111CLAS Collaboration, 112CLAS Collaboration, 113CLAS Collaboration, 114CLAS Collaboration, 115CLAS Collaboration, 116CLAS Collaboration, 117CLAS Collaboration, 118CLAS Collaboration, 119CLAS Collaboration, 120CLAS Collaboration, 121CLAS Collaboration, 122CLAS Collaboration, 123CLAS Collaboration, 124CLAS Collaboration, 125CLAS Collaboration, 126CLAS Collaboration, 127CLAS Collaboration, 128CLAS Collaboration, 129CLAS Collaboration, 130CLAS Collaboration, 131CLAS Collaboration, 132CLAS Collaboration, 133CLAS Collaboration, 134CLAS Collaboration, 135CLAS Collaboration, 136CLAS Collaboration, 137CLAS Collaboration, 138CLAS Collaboration, 139CLAS Collaboration, 140CLAS Collaboration, 141CLAS Collaboration, 142CLAS Collaboration, 143CLAS Collaboration, 144CLAS Collaboration, 145CLAS Collaboration, 146CLAS Collaboration, 147CLAS Collaboration, 148CLAS Collaboration, 149CLAS Collaboration, 150CLAS Collaboration, 151CLAS Collaboration, 152CLAS Collaboration, 153CLAS Collaboration, 154CLAS Collaboration, 155CLAS Collaboration, 156CLAS Collaboration, 157CLAS Collaboration, 158CLAS Collaboration, 159CLAS Collaboration, 160CLAS Collaboration, 161CLAS Collaboration, 162CLAS Collaboration

Beam-target double spin asymmetries and target single-spin asymmetries in exclusive $\pi^+$ and $\pi^-$ electroproduction were obtained from scattering of 1.6 to 5.7 GeV longitudinally polarized electrons from longitudinally polarized protons (for $\pi^+$) and deuterons (for $\pi^-$) using the CEBAF Large Acceptance Spectrometer (CLAS) at Jefferson Lab. Read More

We study the optimal control of general stochastic McKean-Vlasov equation. Such problem is motivated originally from the asymptotic formulation of cooperative equilibrium for a large population of particles (players) in mean-field interaction under common noise. Our first main result is to state a dynamic programming principle for the value function in the Wasserstein space of probability measures, which is proved from a flow property of the conditional law of the controlled state process. Read More

SmB6 is a promising candidate material that promises to elucidate the connection between strong correlations and topological electronic states, which is a major challenge in condensed matter physics. The electron correlations are responsible for the development of multiple gaps in SmB6, whose elucidation is sorely needed. Here we do so by studying the evolutions of the gaps and other corresponding behaviors under pressure. Read More

We give a new version of fuzzy alternating $\mathrm{B\ddot{u}chi}$ automata over distributive lattices: weights are putting in every leaf node of run trees rather than along with edges from every node to its children. Such settings are great benefit to obtain complement just by taking dual operation and replacing each final weight with its complement. We prove that $L$-fuzzy nondeterministic $\mathrm{B\ddot{u}chi}$ automata have the same expressive power as $L$-fuzzy alternating $\mathrm{B\ddot{u}chi}$ ones. Read More

2016Mar
Authors: D. Rimal, D. Adikaram, B. A. Raue, L. B. Weinstein, J. Arrington, W. K. Brooks, M. Ungaro, K. P. Adhikari, Z. Akbar, S. Anefalos Pereira, R. A. Badui, J. Ball, N. A. Baltzell, M. Battaglieri, V. Batourine, I. Bedlinskiy, R. P. Bennett, A. S. Biselli, S. Boiarinov, W. J. Briscoe, S. Bültmann, D. S. Carman, A. Celentano, T. Chetry, G. Ciullo, L. Clark, L. Colaneri, P. L. Cole, N. Compton, M. Contalbrigo, O. Cortes, V. Crede, A. D'Angelo, N. Dashyan, R. De Vita, A. Deur, C. Djalali, R. Dupre, H. Egiyan, A. El Alaoui, L. El Fassi, P. Eugenio, G. Fedotov, R. Fersch, A. Filippi, J. A. Fleming, T. A. Forest, A. Fradi, N. Gevorgyan, Y. Ghandilyan, G. P. Gilfoyle, K. L. Giovanetti, F. X. Girod, C. Gleason, W. Gohn, E. Golovatch, R. W. Gothe, K. A. Griffioen, L. Guo, K. Hafidi, C. Hanretty, N. Harrison, M. Hattawy, D. Heddle, K. Hicks, M. Holtrop, S. M. Hughes, Y. Ilieva, D. G. Ireland, B. S. Ishkhanov, E. L. Isupov, D. Jenkins, H. Jiang, S. Joosten, D. Keller, P. Khetarpal, G. Khachatryan, M. Khandaker, W. Kim, A. Klein, F. J. Klein, V. Kubarovsky, S. E. Kuhn, S. V. Kuleshov, L. Lanza, P. Lenisa, K. Livingston, H. Y. Lu, I . J . D. MacGregor, N. Markov, B. McKinnon, M. D. Mestayer, M. Mirazita, V. Mokeev, A Movsisyan, E. Munevar, C. Munoz Camacho, P. Nadel-Turonski, A. Ni, S. Niccolai, G. Niculescu, I. Niculescu, M. Osipenko, A. I. Ostrovidov, M. Paolone, R. Paremuzyan, K. Park, E. Pasyuk, W. Phelps, S. Pisano, O. Pogorelko, J. W. Price, Y. Prok, D. Protopopescu, A. J. R. Puckett, A. Rizzo, G. Rosner, P. Rossi, P. Roy, F. Sabatié, C. Salgado, R. A. Schumacher, E. Seder, Y. G. Sharabian, Iu. Skorodumina, G. D. Smith, D. Sokhan, N. Sparveris, Ivana Stankovic, S. Stepanyan, S. Strauch, V. Sytnik, M. Taiuti, B. Torayev, H. Voskanyan, E. Voutier, N. K. Walford, D. P. Watts, X. Wei, M. H. Wood, N. Zachariou, L. Zana, J. Zhang, Z. W. Zhao, I. Zonta

[Background] The electromagnetic form factors of the proton measured by unpolarized and polarized electron scattering experiments show a significant disagreement that grows with the squared four momentum transfer ($Q^{2}$). Calculations have shown that the two measurements can be largely reconciled by accounting for the contributions of two-photon exchange (TPE). TPE effects are not typically included in the standard set of radiative corrections since theoretical calculations of the TPE effects are highly model dependent, and, until recently, no direct evidence of significant TPE effects has been observed. Read More

The atomic structure, stacking sequences and electronic structure of folded graphene nanoribbons (FGNRs) are investigated by first-principles calculations. It reveals that the common configurations of all FGNRs are racket-like structures including a nanotube-like edge and two flat nanoribbons. Interestingly, the two flat nanoribbons can form new stacking styles instead of the most stable AB-stacking sequences for bilayer nanoribbons. Read More

We consider the stochastic optimal control problem of McKean-Vlasov stochastic differential equation where the coefficients may depend upon the joint law of the state and control. By using feedback controls, we reformulate the problem into a deterministic control problem with only the marginal distribution of the process as controlled state variable, and prove that dynamic programming principle holds in its general form. Then, by relying on the notion of differentiability with respect to pro\-bability measures recently introduced by P. Read More

In this paper, we consider the problem of maximizing the weighted sum energy efficiency (WS-EE) for multi-input single-output (MISO) interference channels (ICs) which is well acknowledged as general models of heterogeneous networks (HetNets), multicell networks, etc. To address this problem, we develop an efficient distributed beamforming algorithm based on a pricing mechanism. Specifically, we carefully introduce a price metric for distributed beamforming design which fortunately allows efficient closed-form solutions to the per-user beam-vector optimization problem. Read More

This paper considers a cost minimization problem for data centers with N servers and randomly arriving service requests. A central router decides which server to use for each new request. Each server has three types of states (active, idle, setup) with different costs and time durations. Read More

We consider the stochastic optimal control problem of nonlinear mean-field systems in discrete time. We reformulate the problem into a deterministic control problem with marginal distribution as controlled state variable, and prove that dynamic programming principle holds in its general form. We apply our method for solving explicitly the mean-variance portfolio selection and the multivariate linear-quadratic McKean-Vlasov control problem. Read More

We propose a scheme to realize the rotation sensing using optical lattices with laser-assisted tunneling. We demonstrate that the competition between the rotation and the spin-orbit coupling governs the spin-dependent response of the cyclotron dynamics of the spin-orbit coupled bosons. The Sagnac-type cumulative phase can be read out from the envelop of a beat-frequency particle current in the spin-balanced system and enhanced by the cyclotron motion. Read More

2015Nov
Authors: A. Kim, H. Avakian, V. Burkert, K. Joo, W. Kim, K. P. Adhikari, Z. Akbar, S. Anefalos Pereira, R. A. Badui, M. Battaglieri, V. Batourine, I. Bedlinskiy, A. S. Biselli, S. Boiarinov, P. Bosted, W. J. Briscoe, W. K. Brooks, S. Bültmann, T. Cao, D. S. Carman, A. Celentano, S. Chandavar, G. Charles, T. Chetry, L. Colaneri, P. L. Cole, N. Compton, M. Contalbrigo, O. Cortes, V. Crede, A. D'Angelo, N. Dashyan, R. De Vita, E. De Sanctis, C. Djalali, H. Egiyan, A. El Alaoui, L. El Fassi, P. Eugenio, G. Fedotov, R. Fersch, A. Filippi, J. A. Fleming, A. Fradi, M. Garçon, Y. Ghandilyan, G. P. Gilfoyle, K. L. Giovanetti, F. X. Girod, W. Gohn, E. Golovatch, R. W. Gothe, K. A. Griffioen, L. Guo, K. Hafidi, C. Hanretty, M. Hattawy, D. Heddle, K. Hicks, M. Holtrop, Y. Ilieva, D. G. Ireland, B. S. Ishkhanov, D. Jenkins, H. Jiang, H. S. Jo, S. Joosten, D. Keller, G. Khachatryan, M. Khandaker, A. Klein, F. J. Klein, V. Kubarovsky, S. E. Kuhn, S. V. Kuleshov, L. Lanza, P. Lenisa, H. Y. Lu, I . J . D. MacGregor, N. Markov, P. Mattione, M. E. McCracken, B. McKinnon, V. Mokeev, A Movsisyan, E. Munevar, P. Nadel-Turonski, L. A. Net, S. Niccolai, M. Osipenko, A. I. Ostrovidov, M. Paolone, K. Park, E. Pasyuk, W. Phelps, S. Pisano, O. Pogorelko, J. W. Price, Y. Prok, M. Ripani, A. Rizzo, G. Rosner, P. Rossi, P. Roy, C. Salgado, R. A. Schumacher, E. Seder, Y. G. Sharabian, Iu. Skorodumina, G. D. Smith, D. Sokhan, N. Sparveris, S. Stepanyan, P. Stoler, I. I. Strakovsky, S. Strauch, V. Sytnik, M. Taiuti, B. Torayev, M. Ungaro, H. Voskanyan, E. Voutier, D. P. Watts, X. Wei, L. B. Weinstein, N. Zachariou, L. Zana, J. Zhang, I. Zonta

The target and double spin asymmetries of the exclusive pseudoscalar channel $\vec e\vec p\to ep\pi^0$ were measured for the first time in the deep-inelastic regime using a longitudinally polarized 5.9 GeV electron beam and a longitudinally polarized proton target at Jefferson Lab with the CEBAF Large Acceptance Spectrometer (CLAS). The data were collected over a large kinematic phase space and divided into 110 four-dimensional bins of $Q^2$, $x_B$, $-t$ and $\phi$. Read More