J. B. Choi - UT Austin

J. B. Choi
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Name
J. B. Choi
Affiliation
UT Austin
City
Austin
Country
United States

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Computer Science - Information Theory (8)
 
Mathematics - Information Theory (8)
 
High Energy Physics - Experiment (7)
 
Nuclear Experiment (5)
 
Computer Science - Computer Vision and Pattern Recognition (5)
 
Computer Science - Computation and Language (4)
 
Mathematics - Combinatorics (3)
 
Astrophysics of Galaxies (3)
 
Physics - Instrumentation and Detectors (3)
 
Computer Science - Learning (3)
 
Physics - Materials Science (2)
 
Physics - Mesoscopic Systems and Quantum Hall Effect (2)
 
Physics - Other (2)
 
Computer Science - Artificial Intelligence (2)
 
Cosmology and Nongalactic Astrophysics (2)
 
Mathematics - Classical Analysis and ODEs (2)
 
Quantitative Biology - Biomolecules (1)
 
Physics - Statistical Mechanics (1)
 
High Energy Physics - Phenomenology (1)
 
Quantum Physics (1)
 
Quantitative Biology - Populations and Evolution (1)
 
Physics - Physics and Society (1)
 
Physics - Atomic Physics (1)
 
Physics - Strongly Correlated Electrons (1)
 
Physics - Disordered Systems and Neural Networks (1)
 
Computer Science - Sound (1)
 
Mathematics - Numerical Analysis (1)
 
Physics - Superconductivity (1)
 
High Energy Physics - Theory (1)
 
Computer Science - Information Retrieval (1)
 
Statistics - Machine Learning (1)
 
Nuclear Theory (1)
 
Computer Science - Computational Geometry (1)
 
Mathematics - Functional Analysis (1)
 
Computer Science - Multimedia (1)
 
Solar and Stellar Astrophysics (1)
 
Physics - Medical Physics (1)

Publications Authored By J. B. Choi

Motivated by map labeling, we study the problem in which we are given a collection of $n$ disks $D_1, \dots, D_n$ in the plane that grow at possibly different speeds. Whenever two disks meet, the one with the lower index disappears. This problem was introduced by Funke, Krumpe, and Storandt [IWOCA 2016]. Read More

We report the first axion dark matter search with toroidal geometry. In this pioneering search, we exclude the axion-photon coupling $g_{a\gamma\gamma}$ down to about $5\times10^{-8}$ GeV$^{-1}$ over the axion mass range from 24.7 to 29. Read More

In this paper, we propose an efficient vehicle trajectory prediction framework based on recurrent neural network. Basically, the characteristic of the vehicle's trajectory is different from that of regular moving objects since it is affected by various latent factors including road structure, traffic rules, and driver's intention. Previous state of the art approaches use sophisticated vehicle behavior model describing these factors and derive the complex trajectory prediction algorithm, which requires a system designer to conduct intensive model optimization for practical use. Read More

Hybrid analog-digital beamforming architectures with low-resolution analog-to-digital converters (ADCs) reduce hardware cost and power consumption in multiple-input multiple-output (MIMO) millimeter wave (mmWave) communication systems. In this paper, we propose a hybrid architecture with resolution-adaptive ADCs for mmWave receivers with large antenna arrays. We adopt array response vectors for the analog combiners and derive ADC bit allocation (BA) algorithms. Read More

Hawkes Processes capture self- and mutual-excitation between events when the arrival of one event makes future ones more likely to happen in time-series data. Identification of the temporal covariance kernel can reveal the underlying structure to better predict future events. In this paper, we present a new framework to represent time-series events with a composition of self-triggering kernels of Hawkes Processes. Read More

Magnetic skyrmions are swirling magnetic textures with novel characteristics suitable for future spintronic applications. Recent studies confirmed the room-temperature stabilization of skyrmions in ultrathin ferromagnets. However, such ferromagnetic skyrmions show undesirable topological effect, the skyrmion Hall effect, which leads to their current-driven motion towards device edges, where the skyrmions could easily be annihilated by topographic defects. Read More

We propose a novel 3D face recognition algorithm using a deep convolutional neural network (DCNN) and a 3D augmentation technique. The performance of 2D face recognition algorithms has significantly increased by leveraging the representational power of deep neural networks and the use of large-scale labeled training data. As opposed to 2D face recognition, training discriminative deep features for 3D face recognition is very difficult due to the lack of large-scale 3D face datasets. Read More

2017Mar
Authors: C. Aidala, Y. Akiba, M. Alfred, V. Andrieux, K. Aoki, N. Apadula, H. Asano, C. Ayuso, B. Azmoun, V. Babintsev, A. Bagoly, N. S. Bandara, K. N. Barish, S. Bathe, A. Bazilevsky, M. Beaumier, R. Belmont, A. Berdnikov, Y. Berdnikov, D. S. Blau, M. Boer, J. S. Bok, M. L. Brooks, J. Bryslawskyj, V. Bumazhnov, C. Butler, S. Campbell, V. Canoa Roman, R. Cervantes, C. Y. Chi, M. Chiu, I. J. Choi, J. B. Choi, Z. Citron, M. Connors, N. Cronin, M. Csanád, T. Csörgő, T. W. Danley, M. S. Daugherity, G. David, K. DeBlasio, K. Dehmelt, A. Denisov, A. Deshpande, E. J. Desmond, A. Dion, D. Dixit, J. H. Do, A. Drees, K. A. Drees, M. Dumancic, J. M. Durham, A. Durum, T. Elder, A. Enokizono, H. En'yo, S. Esumi, B. Fadem, W. Fan, N. Feege, D. E. Fields, M. Finger, M. Finger, \, Jr., S. L. Fokin, J. E. Frantz, A. Franz, A. D. Frawley, Y. Fukuda, C. Gal, P. Gallus, P. Garg, H. Ge, F. Giordano, Y. Goto, N. Grau, S. V. Greene, M. Grosse Perdekamp, T. Gunji, H. Guragain, T. Hachiya, J. S. Haggerty, K. I. Hahn, H. Hamagaki, H. F. Hamilton, S. Y. Han, J. Hanks, S. Hasegawa, T. O. S. Haseler, X. He, T. K. Hemmick, J. C. Hill, K. Hill, R. S. Hollis, K. Homma, B. Hong, T. Hoshino, N. Hotvedt, J. Huang, S. Huang, K. Imai, J. Imrek, M. Inaba, A. Iordanova, D. Isenhower, Y. Ito, D. Ivanishchev, B. V. Jacak, M. Jezghani, Z. Ji, X. Jiang, B. M. Johnson, V. Jorjadze, D. Jouan, D. S. Jumper, J. H. Kang, D. Kapukchyan, S. Karthas, D. Kawall, A. V. Kazantsev, V. Khachatryan, A. Khanzadeev, C. Kim, D. J. Kim, E. -J. Kim, M. Kim, M. H. Kim, D. Kincses, E. Kistenev, J. Klatsky, P. Kline, T. Koblesky, D. Kotov, S. Kudo, K. Kurita, Y. Kwon, J. G. Lajoie, E. O. Lallow, A. Lebedev, S. Lee, M. J. Leitch, Y. H. Leung, N. A. Lewis, X. Li, S. H. Lim, L. D. Liu, M. X. Liu, V-R Loggins, V. -R. Loggins, S. Lokos, K. Lovasz, D. Lynch, T. Majoros, Y. I. Makdisi, M. Makek, M. Malaev, V. I. Manko, E. Mannel, H. Masuda, M. McCumber, P. L. McGaughey, D. McGlinchey, C. McKinney, M. Mendoza, W. J. Metzger, A. C. Mignerey, D. E. Mihalik, A. Milov, D. K. Mishra, J. T. Mitchell, G. Mitsuka, S. Miyasaka, S. Mizuno, P. Montuenga, T. Moon, D. P. Morrison, S. I. M. Morrow, T. Murakami, J. Murata, K. Nagai, K. Nagashima, T. Nagashima, J. L. Nagle, M. I. Nagy, I. Nakagawa, H. Nakagomi, K. Nakano, C. Nattrass, T. Niida, R. Nouicer, T. Novák, N. Novitzky, R. Novotny, A. S. Nyanin, E. O'Brien, C. A. Ogilvie, J. D. Orjuela Koop, J. D. Osborn, A. Oskarsson, G. J. Ottino, K. Ozawa, V. Pantuev, V. Papavassiliou, J. S. Park, S. Park, S. F. Pate, M. Patel, 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, P. V. Radzevich, K. F. Read, D. Reynolds, V. Riabov, Y. Riabov, D. Richford, T. Rinn, S. D. Rolnick, M. Rosati, Z. Rowan, J. Runchey, A. S. Safonov, T. Sakaguchi, H. Sako, V. Samsonov, M. Sarsour, K. Sato, S. Sato, B. Schaefer, B. K. Schmoll, K. Sedgwick, R. Seidl, A. Sen, R. Seto, A. Sexton, D. Sharma, I. Shein, T. -A. Shibata, K. Shigaki, M. Shimomura, T. Shioya, P. Shukla, A. Sickles, C. L. Silva, D. Silvermyr, B. K. Singh, C. P. Singh, V. Singh, M. J. Skoby, M. Slunečka, K. L. Smith, M. Snowball, R. A. Soltz, W. E. Sondheim, S. P. Sorensen, I. V. Sourikova, P. W. Stankus, S. P. Stoll, T. Sugitate, A. Sukhanov, T. Sumita, J. Sun, S. Syed, J. Sziklai, A Takeda, K. Tanida, M. J. Tannenbaum, S. Tarafdar, G. Tarnai, R. Tieulent, A. Timilsina, T. Todoroki, M. Tomášek, C. L. Towell, R. S. Towell, I. Tserruya, Y. Ueda, B. Ujvari, H. W. van Hecke, S. Vazquez-Carson, J. Velkovska, M. Virius, V. Vrba, N. Vukman, X. R. Wang, Z. Wang, Y. Watanabe, Y. S. Watanabe, C. P. Wong, C. L. Woody, C. Xu, Q. Xu, L. Xue, S. Yalcin, Y. L. Yamaguchi, H. Yamamoto, A. Yanovich, P. Yin, J. H. Yoo, I. Yoon, H. Yu, I. E. Yushmanov, W. A. Zajc, A. Zelenski, S. Zharko, L. Zou

During 2015 the Relativistic Heavy Ion Collider (RHIC) provided collisions of transversely polarized protons with Au and Al nuclei for the first time, enabling the exploration of transverse-single-spin asymmetries with heavy nuclei. Large single-spin asymmetries in very forward neutron production have been previously observed in transversely polarized $p$$+$$p$ collisions at RHIC, and the existing theoretical framework that was successful in describing the single-spin asymmetry in $p$$+$$p$ collisions predicts only a moderate atomic-mass-number ($A$) dependence. In contrast, the asymmetries observed at RHIC in $p$$+$$A$ collisions showed a surprisingly strong $A$ dependence in inclusive forward neutron production. Read More

Massive multiple-input multiple-output (MIMO) systems, which utilize a large number of antennas at the base station, are expected to enhance network throughput by enabling improved multiuser MIMO techniques. To deploy many antennas in reasonable form factors, base stations are expected to employ antenna arrays in both horizontal and vertical dimensions, which is known as full-dimension (FD) MIMO. The most promising two-dimensional array is the uniform planar array (UPA), where antennas are placed in a grid pattern. Read More

Analyzing multivariate time series data is important for many applications such as automated control, fault diagnosis and anomaly detection. One of the key challenges is to learn latent features automatically from dynamically changing multivariate input. In visual recognition tasks, convolutional neural networks (CNNs) have been successful to learn generalized feature extractors with shared parameters over the spatial domain. Read More

Analyzing time series data is important to predict future events and changes in finance, manufacturing and administrative decisions. Gaussian processes (GPs) solve regression and classification problems by choosing appropriate kernels capturing covariance structure of data. In time series analysis, GP based regression methods recently demonstrate competitive performance by decomposing temporal covariance structure. 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

Technical documents contain a fair amount of unnatural language, such as tables, formulas, pseudo-codes, etc. Unnatural language can be an important factor of confusing existing NLP tools. This paper presents an effective method of distinguishing unnatural language from natural language, and evaluates the impact of unnatural language detection on NLP tasks such as document clustering. Read More

Recently, reinforcement learning has been successfully applied to the logical game of Go, various Atari games, and even a 3D game, Labyrinth, though it continues to have problems in sparse reward settings. It is difficult to explore, but also difficult to exploit, a small number of successes when learning policy. To solve this issue, the subgoal and option framework have been proposed. Read More

We construct an extension of the Abelian Higgs model, which consists of a complex scalar field by including an additional real, electromagnetically neutral scalar field. We couple this real scalar field to the complex scalar field via a quartic coupling and investigate $U(1)$ vortex solutions in this "extended Abelian Higgs Model". Since this model has two additional homogeneous ground states, the $U(1)$ vortices that can form in this model have a richer structure than in the Abelian Higgs Model. Read More

One of the major challenges of model-free visual tracking problem has been the difficulty originating from the unpredictable and drastic changes in the appearance of objects we target to track. Existing methods tackle this problem by updating the appearance model on-line in order to adapt to the changes in the appearance. Despite the success of these methods however, inaccurate and erroneous updates of the appearance model result in a tracker drift. Read More

Mathematics has been used in the exploration and enumeration of juggling patterns. In the case when we catch and throw one ball at a time the number of possible juggling patterns is well-known. When we are allowed to catch and throw any number of balls at a given time (known as multiplex juggling) the enumeration is more difficult and has only been established in a few special cases. Read More

Millimeter-wave (mmWave) radar is widely used in vehicles for applications such as adaptive cruise control and collision avoidance. In this paper, we propose an IEEE 802.11ad-based radar for long-range radar (LRR) applications at the 60 GHz unlicensed band. Read More

We investigate the integrated properties of massive (>10 Msun), rotating, single-star stellar populations for a variety of initial rotation rates (v/vcrit=0.0, 0.2, 0. Read More

In this paper, we propose a new autonomous braking system based on deep reinforcement learning. The proposed autonomous braking system automatically decides whether to apply the brake at each time step when confronting the risk of collision using the information on the obstacle obtained by the sensors. The problem of designing brake control is formulated as searching for the optimal policy in Markov decision process (MDP) model where the state is given by the relative position of the obstacle and the vehicle's speed, and the action space is defined as whether brake is stepped or not. Read More

In this paper, a novel two-dimensional super-resolution angle-of-departure (AoD) and angle-of-arrival (AoA) estimation technique is proposed for wideband millimeter-wave multiple-input multiple-output systems with cross-polarized antenna elements. The key ingredient of the proposed method is to form custom designed beam pairs, and devise an invertible function of the AoD/AoA to be estimated from the corresponding beam pairs. Further, a new multi-layer reference signal structure is developed for the proposed method to facilitate angle estimation for wideband channels with cross-polarized antenna elements. Read More

The best summary of a long video differs among different people due to its highly subjective nature. Even for the same person, the best summary may change with time or mood. In this paper, we introduce the task of generating customized video summaries through simple text. Read More

2017Feb
Authors: C. Aidala, N. N. Ajitanand, Y. Akiba, R. Akimoto, J. Alexander, M. Alfred, V. Andrieux, K. Aoki, N. Apadula, H. Asano, E. T. Atomssa, T. C. Awes, C. Ayuso, B. Azmoun, V. Babintsev, A. Bagoly, M. Bai, X. Bai, N. S. Bandara, 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, R. Cervantes, C. -H. Chen, C. Y. Chi, M. Chiu, I. J. Choi, J. B. Choi, S. Choi, P. Christiansen, T. Chujo, V. Cianciolo, Z. Citron, 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, A. Dion, D. Dixit, 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, H. En'yo, 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. Gallus, 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, H. F. Hamilton, 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. 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, V. -R. Loggins, S. Lokos, K. Lovasz, 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, P. Montuenga, 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, G. J. Ottino, 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, A. S. Safonov, B. Sahlmueller, N. Saito, T. Sakaguchi, H. Sako, V. Samsonov, M. Sarsour, K. Sato, S. Sato, S. Sawada, B. Schaefer, B. K Schmoll, 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, T. Shioya, 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, M. Snowball, 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, T. Sumita, J. Sun, S. Syed, J. Sziklai, 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, N. Vukman, 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, L. Xue, S. Yalcin, Y. L. Yamaguchi, H. Yamamoto, 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 fraction of $J/\psi$ mesons which come from B-meson decay, $\textrm{F}_{B{\rightarrow}J/\psi}$, is measured for J/$\psi$ rapidity \mbox{$1.2<|y|<2.2$} and $p_T>0$ in $p$+$p$ and Cu+Au collisions at $\sqrt{s_{_{NN}}}$=200 GeV with the PHENIX detector. Read More

In this paper, we propose an efficient beam tracking method for mobility scenario in mmWave-band communications. When the position of the mobile changes in mobility scenario, the base-station needs to perform beam training frequently to track the time-varying channel, thereby spending significant resources for training beams. In order to reduce the training overhead, we propose a new beam training approach called "beam tracking" which exploits the continuous nature of time varying angle of departure (AoD) for beam selection. Read More

Using dynamic cantilever magnetometry and experimentally determining the cantilever's vibrational mode shape, we precisely measured the magnetic moment of a lithographically defined micron-sized superconducting Nb ring, a key element for the previously proposed subpiconewton force standard. The magnetic moments due to individual magnetic fluxoids and a diamagnetic response were independently determined at T = 4.3 K, with a subfemtoampere-square-meter resolution. Read More

The rigid double-torus torsional oscillator (TO) is constructed to reduce any elastic effects in-herent to complicate TO structures, allowing explicit probing for a genuine supersolid signature. We investigated the frequency- and temperature-dependent response of the rigid double-torus TO containing solid 4He with 0.6 ppb 3He and 300 ppb 3He. Read More

The irrotational nature of superfluid helium was discovered through its decoupling from the container under rotation. Similarly, the resonant period drop of a torsional oscillator (TO) containing solid helium was first interpreted as the decoupling of solid from the TO and appearance of supersolid. However, the resonant period can be changed by mechanisms other than supersolid, such as the elastic stiffening of solid helium that is widely accepted as the reason for the TO response. Read More

Wavelet frame systems are known to be effective in capturing singularities from noisy and degraded images. In this paper, we introduce a new edge driven wavelet frame model for image restoration by approximating images as piecewise smooth functions. With an implicit representation of image singularities sets, the proposed model inflicts different strength of regularization on smooth and singular image regions and edges. Read More

Artifacts in quantitative susceptibility mapping (QSM) are analyzed to establish an optimal design criterion for QSM inversion algorithms. The magnetic field data is decomposed into two parts, dipole compatible and incompatible parts. The dipole compatible part generates the desired non-streaking solution. Read More

2017Jan
Authors: C. Aidala, N. N. Ajitanand, Y. Akiba, R. Akimoto, J. Alexander, M. Alfred, K. Aoki, N. Apadula, H. Asano, E. T. Atomssa, A. Attila, T. C. Awes, C. Ayuso, B. Azmoun, V. Babintsev, 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, C. CanoaRoman, 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, 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, Y. I. Makdisi, M. Makek, A. Manion, V. I. Manko, E. Mannel, M. McCumber, P. L. McGaughey, D. McGlinchey, C. McKinney, A. Meles, M. Mendoza, B. Meredith, Y. Miake, T. Mibe, A. C. Mignerey, D. E. M. 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. 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

We report the first measurement of the fraction of $J/\psi$ mesons coming from $B$-meson decay ($F_{B{\rightarrow}J/\psi}$) in $p$+$p$ collisions at $\sqrt{s}=$ 510 GeV. The measurement is performed using the forward silicon vertex detector and central vertex detector at PHENIX, which provide precise tracking and distance-of-closest-approach determinations, enabling the statistical separation of $J/\psi$ due to $B$-meson decays from prompt $J/\psi$. The measured value of $F_{B{\rightarrow}J/\psi}$ is 8. Read More

2016Dec
Authors: A. Adare, C. Aidala, N. N. Ajitanand, Y. Akiba, R. Akimoto, M. Alfred, V. Andrieux, K. Aoki, N. Apadula, Y. Aramaki, H. Asano, E. T. Atomssa, T. C. Awes, C. Ayuso, B. Azmoun, V. Babintsev, M. Bai, N. S. Bandara, B. Bannier, K. N. Barish, S. Bathe, A. Bazilevsky, M. Beaumier, S. Beckman, R. Belmont, A. Berdnikov, Y. Berdnikov, D. Black, D. S. Blau, M. Boer, J. S. Bok, E. K. Bownes, K. Boyle, M. L. Brooks, J. Bryslawskyj, H. Buesching, V. Bumazhnov, C. Butler, S. Campbell, C. CanoaRoman, R. Cervantes, C. -H. Chen, C. Y. Chi, M. Chiu, I. J. Choi, J. B. Choi, T. Chujo, Z. Citron, M. Connors, N. Cronin, 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, A. Dion, D. Dixit, J. H. Do, A. Drees, K. A. Drees, M. Dumancic, J. M. Durham, A. Durum, J. P. Dusing, T. Elder, A. Enokizono, H. En'yo, S. Esumi, B. Fadem, W. Fan, N. Feege, D. E. Fields, M. Finger, M. Finger, \, Jr., S. L. Fokin, J. E. Frantz, A. Franz, A. D. Frawley, Y. Fukuda, C. Gal, P. Gallus, P. Garg, H. Ge, F. Giordano, A. Glenn, Y. Goto, N. Grau, S. V. Greene, M. Grosse Perdekamp, Y. Gu, T. Gunji, H. Guragain, T. Hachiya, J. S. Haggerty, K. I. Hahn, H. Hamagaki, H. F. Hamilton, S. Y. Han, J. Hanks, S. Hasegawa, T. O. S. Haseler, X. He, T. K. Hemmick, J. C. Hill, K. Hill, R. S. Hollis, K. Homma, B. Hong, T. Hoshino, N. Hotvedt, J. Huang, S. Huang, Y. Ikeda, K. Imai, Y. Imazu, M. Inaba, A. Iordanova, D. Isenhower, Y. Ito, D. Ivanishchev, B. V. Jacak, S. J. Jeon, M. Jezghani, Z Ji, J. Jia, X. Jiang, B. M. Johnson, E. Joo, K. S. Joo, V. Jorjadze, D. Jouan, D. S. Jumper, J. H. Kang, J. S. Kang, D. Kapukchyan, S. Karthas, D. Kawall, A. V. Kazantsev, T. Kempel, J. A. Key, V. Khachatryan, A. Khanzadeev, K. Kihara, C. Kim, D. H. Kim, D. J. Kim, E. -J. Kim, H. -J. Kim, M. Kim, Y. K. Kim, M. L. Kimball, D. Kincses, E. Kistenev, J. Klatsky, D. Kleinjan, P. Kline, T. Koblesky, M. Kofarago, J. Koster, J. R. Kotler, D. Kotov, S. Kudo, K. Kurita, M. Kurosawa, Y. Kwon, R. Lacey, J. G. Lajoie, E. O. Lallow, A. Lebedev, K. B. Lee, S. Lee, S. H. Lee, M. J. Leitch, M. Leitgab, Y. H. Leung, N. A. Lewis, X. Li, S. H. Lim, L. D. Liu, M. X. Liu, V-R Loggins, V. -R. Loggins, K. Lovasz, D. Lynch, T. Majoros, Y. I. Makdisi, M. Makek, M. Malaev, A. Manion, V. I. Manko, E. Mannel, M. McCumber, P. L. McGaughey, D. McGlinchey, C. McKinney, A. Meles, A. R. Mendez, M. Mendoza, B. Meredith, Y. Miake, A. C. Mignerey, D. E. M. Mihalik, A. J. Miller, A. Milov, D. K. Mishra, J. T. Mitchell, G. Mitsuka, S. Miyasaka, S. Mizuno, P. Montuenga, T. Moon, D. P. Morrison, S. I. M. Morrow, T. V. Moukhanova, T. Murakami, J. Murata, A. Mwai, K. Nagai, S. Nagamiya, K. Nagashima, T. Nagashima, J. L. Nagle, M. I. Nagy, I. Nakagawa, H. Nakagomi, 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, J. D. Orjuela Koop, J. D. Osborn, A. Oskarsson, G. J. Ottino, K. Ozawa, R. Pak, V. Pantuev, V. Papavassiliou, J. S. Park, S. 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. Pinson, R. P. Pisani, C. J. Press, A. Pun, M. L. Purschke, J. Rak, I. Ravinovich, K. F. Read, D. Reynolds, V. Riabov, Y. Riabov, D. Richford, T. Rinn, N. Riveli, D. Roach, S. D. Rolnick, M. Rosati, Z. Rowan, J. G. Rubin, J. Runchey, A. S. Safonov, 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, A. Sen, R. Seto, P. Sett, A. Sexton, D. Sharma, I. Shein, T. -A. Shibata, K. Shigaki, M. Shimomura, T. Shioya, P. Shukla, A. Sickles, C. L. Silva, J. A. Silva, D. Silvermyr, B. K. Singh, C. P. Singh, V. Singh, M. Slunečka, K. L. Smith, M. Snowball, R. A. Soltz, W. E. Sondheim, S. P. Sorensen, I. V. Sourikova, P. W. Stankus, M. Stepanov, H. Stien, S. P. Stoll, T. Sugitate, A. Sukhanov, T. Sumita, J. Sun, S. Syed, J. Sziklai, A. Takahara, A Takeda, A. Taketani, K. Tanida, M. J. Tannenbaum, S. Tarafdar, A. Taranenko, G. Tarnai, R. Tieulent, A. Timilsina, T. Todoroki, M. Tomášek, H. Torii, C. L. Towell, M. Towell, R. Towell, R. S. Towell, I. Tserruya, Y. Ueda, B. Ujvari, H. W. van Hecke, M. Vargyas, J. Velkovska, M. Virius, V. Vrba, N. Vukman, E. Vznuzdaev, X. R. Wang, Z. Wang, D. 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, L. Xue, S. Yalcin, Y. L. Yamaguchi, H. Yamamoto, A. Yanovich, J. H. Yoo, I. Yoon, I. Younus, H. Yu, I. E. Yushmanov, W. A. Zajc, A. Zelenski, L. Zou

We report the first measurement of the full angular distribution for inclusive $J/\psi\rightarrow\mu^{+}\mu^{-}$ decays in $p$$+$$p$ collisions at $\sqrt{s}=510$ GeV. The measurements are made for $J/\psi$ transverse momentum $2Read More

This paper describes methods for evaluating automatic speech recognition (ASR) systems in comparison with human perception results, using measures derived from linguistic distinctive features. Error patterns in terms of manner, place and voicing are presented, along with an examination of confusion matrices via a distinctive-feature-distance metric. These evaluation methods contrast with conventional performance criteria that focus on the phone or word level, and are intended to provide a more detailed profile of ASR system performance,as well as a means for direct comparison with human perception results at the sub-phonemic level. Read More

Fractional kinetic equations are investigated in order to describe the various phenomena governed by anomalous reaction in dynamical systems with chaotic motion. Many authors have provided solutions for various families of fractional kinetic equations involving special functions. Here, in this paper, we aim at presenting solutions of certain general families of fractional kinetic equations associated with the generalized modified $k$-Bessel function of the first kind. Read More

Even with the recent advances in convolutional neural networks (CNN) in various visual recognition tasks, the state-of-the-art action recognition system still relies on hand crafted motion feature such as optical flow to achieve the best performance. We propose a multitask learning model ActionFlowNet to train a single stream network directly from raw pixels to jointly estimate optical flow while recognizing actions with convolutional neural networks, capturing both appearance and motion in a single model. We additionally provide insights to how the quality of the learned optical flow affects the action recognition. Read More

Unlike spiral galaxies such as the Milky Way, the majority of the stars in massive elliptical galaxies were formed in a short period early in the history of the Universe. The duration of this formation period can be measured using the ratio of magnesium to iron abundance ([Mg/Fe]), which reflects the relative enrichment by core-collapse and type Ia supernovae. For local galaxies, [Mg/Fe] probes the combined formation history of all stars currently in the galaxy, including younger and metal-poor stars that were added during late-time mergers. Read More

We aim to introduce a $\mathtt{k}$-Struve function and investigate its various properties, including mainly certain inequalities associated this function. One of the inequalities given here is pointed out to be related to the so-called classical Tur\'an type inequality. We also present a differential equation, several recurrence relations, and integral representations for this $\mathtt{k}$-Struve function. Read More

In this work we show that there is a direct relationship between a graph's topology and the free energy of a spin system on the graph. We develop a method of separating topological and enthalpic contributions to the free energy, and find that considering the topology is sufficient to qualitatively compare the free energies of different graph systems at high temperature, even when the energetics are not fully known. This method was applied to the metal lattice system with defects, and we found that it partially explains why point defects are more stable than high-dimensional defects. Read More

The chemical modification of graphene with adatoms is of importance for nanoelectronics applications. Based on first-principles density-functional theory calculations with including van der Waals interactions, we present a comparative study of the diffusion characteristics of oxygen (O) and fluorine (F) atoms both on graphene and between the layers of bilayer graphene. We find that O and F atoms have lower binding energies between the layers of bilayer graphene compared to on graphene. Read More

2016Nov
Authors: Hyper-Kamiokande proto-collaboration, :, K. Abe, Ke. Abe, H. Aihara, A. Aimi, R. Akutsu, C. Andreopoulos, I. Anghel, L. H. V. Anthony, M. Antonova, Y. AshidaK, M. Barbi, G. J. Barker, G. Barr, P. Beltrame, V. Berardi, M. Bergevin, S. Berkman, T. Berry, S. Bhadra, F. d. M. Blaszczyk, A. Blondel, S. Bolognesi, S. B. Boyd, A. Bravar, C. Bronner, M. Buizza, F. S. Cafagna, A. Cole, R. Calland, S. CaoK, S. L. Cartwright, M. G. Catanesi, C. Checchia, Z. Chen-Wishart, J. H. Choi, K. Choi, J. Coleman, G. Collazuol, G. Cowan, L. Cremonesi, T. Dealtry, G. De Rosa, C. Densham, D. Dewhurst, E. L. Drakopoulou, F. Di Lodovico, O. Drapier, P. Dunne, M. Dziewiecki, S. Emery, A. Esmaili, P. Fern'andez, E. Fern'andez-Martinez, T. FeuselsU, A. Finch, A. Fiorentini, M. Fitton, K. Frankiewicz, M. Friend, Y. Fujii, Y. Fukuda, D. Fukuda, K. Ganezer, M. Gonin, N. Grant, P. Gumplinger, D. R. Hadley, L. Haegel, D. Hamabe, B. Hartfiel, M. Hartz, Y. Hayato, K. Hayrapetyan, J. Hill, S. HirotaK, S. Horiuchi, A. K. Ichikawa, T. Iijima, M. Ikeda, J. Imber, K. Inoue, J. Insler, R. A. Intonti, A. Ioannisian, T. Ishida, H. Ishino, M. Ishitsuka, Y. Itow, K. Iwamoto, A. Izmaylov, B. Jamieson, H. I. Jang, J. S. Jang, S. H. Jeon, M. Jiang, P. Jonsson, K. K. Joo, A. Kaboth, C. Kachulis, T. Kajita, J. Kameda, Y. Karadhzov, T. Katori, K. Kayrapetyan, E. Kearns, M. Khabibullin, A. Khotjantsev, J. H. Kim, J. Y. Kim, S. B. Kim, S. Y. Kim, S. King, Y. Kishimoto, P. Ko, T. Kobayashi, M. Koga, A. Konaka, L. L. Kormos, Y. Koshio, K. L. Kowalik, W. R. Kropp, Y. Kudenko, R. Kurjata, T. Kutter, M. Kuze, L. Labarga, J. Lagoda, P. J. J. Lasorak, M. Laveder, M. Lawe, J. G. Learned, I. T. Lim, T. Lindner, R. P. Litchfield, A. Longhin, P. Loverre, T. Lou, L. Ludovici, W. Ma, L. Magaletti, K. MahnMSU, M. Malek, L. Maret, C. Mariani, K. Martens, Ll. Marti, J. F. Martin, J. Marzec, S. Matsuno, E. Mazzucato, M. McCarthy, N. McCauley, K. S. McFarland, C. McGrew, A. Mefodiev, C. Metelko, M. Mezzetto, J. Migenda, P. Mijakowski, H. Minakata, A. Minamino, S. Mine, O. Mineev, M. Miura, J. Monroe, D. H. Moon, S. Moriyama, T. Mueller, F. Muheim, K. Murase, F. Muto, M. Nakahata, Y. Nakajima, K. Nakamura, T. Nakaya, S. Nakayama, C. Nantais, M. Needham, T. Nicholls, Y. Nishimura, E. Noah, F. Nova, J. Nowak, H. Nunokawa, Y. Obayashi, H. M. O'Keeffe, Y. Okajima, K. Okumura, E. O'Sullivan, T. Ovsiannikova, R. A. Owen, Y. Oyama, J. P'erez, M. Y. Pac, V. Palladino, J. L. Palomino, V. Paolone, W. Parker, S. Parsa, D. Payne, J. D. Perkin, E. Pinzon Guerra, S. Playfer, M. Posiadala-Zezula, J. -M. Poutissou, A. Pritchard, N. W. Prouse, P. Przewlocki, B. Quilain, M. Quinto, E. Radicioni, P. N. Ratoff, M. A. Rayner, F. Retiere, C. Riccio, B. Richards, E. Rondio, H. J. Rose, C. Rott, S. D. Rountree, A. C. Ruggeri, A. Rychter, R. Sacco, M. Sakuda, M. C. Sanchez, E. Scantamburlo, K. Scholberg, M. Scott, Y. Seiya, T. Sekiguchi, H. Sekiya, S. H. Seo, D. Sgalaberna, R. Shah, A. Shaikhiev, I. Shimizu, M. Shiozawa, Y. Shitov, S. Short, C. Simpson, G. Sinnis, M. B. Smy, S. Snow, J. Sobczyk, H. W. Sobel, Y. Sonoda, T. Stewart, J. L. Stone, Y. Suda, Y. Suwa, Y. Suzuki, A. T. Suzuki, R. Svoboda, R. Tacik, A. Takeda, A. Takenaka, A. Taketa, Y. Takeuchi, V. Takhistov, H. A. Tanaka, H. K. M. Tanaka, H. Tanaka, R. Terri, L. F. Thompson, M. Thorpe, S. Tobayama, T. Tomura, C. Touramanis, T. Towstego, T. Tsukamoto, K. M. Tsui, M. Tzanov, Y. Uchida, M. R. Vagins, G. Vasseur, C. Vilela, R. B. Vogelaar, J. Walding, C. W. Walter, D. Wark, M. O. Wascko, A. Weber, R. Wendell, R. J. Wilkes, M. J. Wilking, J. R. Wilson, T. Xin, K. Yamamoto, C. Yanagisawa, T. Yano, S. Yen, N. Yershov, D. N. Yeum, M. Yokoyama, T. Yoshida, I. Yu, M. Yu, J. Zalipska, K. Zaremba, M. Ziembicki, M. Zito, S. Zsoldos

We have conducted sensitivity studies on an alternative configuration of the Hyper-Kamiokande experiment by locating the 2nd Hyper-Kamiokande detector in Korea at $\sim$1100$-\ $1300 km baseline. Having two detectors at different baselines improves sensitivity to leptonic CP violation, neutrino mass ordering as well as nonstandard neutrino interactions. There are several candidate sites in Korea with greater than 1 km high mountains ranged at an 1$-$3 degree off-axis angle. Read More

The high hardware complexity of a massive MIMO base station, which requires hundreds of radio chains, makes it challenging to build commercially. One way to reduce the hardware complexity and power consumption of the receiver is to lower the resolution of the analog-to-digital converters (ADCs). We derive an achievable rate for a massive MIMO system with arbitrary quantization and use this rate to show that ADCs with as low as 3 bits can be used without significant performance loss at spectral efficiencies around 3. Read More

This paper tests the hypothesis that distinctive feature classifiers anchored at phonetic landmarks can be transferred cross-lingually without loss of accuracy. Three consonant voicing classifiers were developed: (1) manually selected acoustic features anchored at a phonetic landmark, (2) MFCCs (either averaged across the segment or anchored at the landmark), and(3) acoustic features computed using a convolutional neural network (CNN). All detectors are trained on English data (TIMIT),and tested on English, Turkish, and Spanish (performance measured using F1 and accuracy). Read More

In this paper, we study $(1,2)$-step competition graphs of bipartite tournaments. A bipartite tournament means an orientation of a complete bipartite graph. We show that the $(1,2)$-step competition graph of a bipartite tournament has at most one non-trivial component or consists of exactly two complete components of size at least three and, especially in the former, the diameter of the nontrivial component is at most three if it exists. Read More

Understanding quantum dynamics away from equilibrium is an outstanding challenge in the modern physical sciences. It is well known that out-of-equilibrium systems can display a rich array of phenomena, ranging from self-organized synchronization to dynamical phase transitions. More recently, advances in the controlled manipulation of isolated many-body systems have enabled detailed studies of non-equilibrium phases in strongly interacting quantum matter. Read More

One of the most important questions in game theory concerns how mutual cooperation can be achieved and maintained in a social dilemma. In Axelrod's tournaments of the iterated prisoner's dilemma, Tit-for-Tat (TFT) demonstrated the role of reciprocity in the emergence of cooperation. However, the stability of TFT does not hold in the presence of implementation error, and a TFT population is prone to neutral drift to unconditional cooperation, which eventually invites defectors. Read More

With the advent of word embeddings, lexicons are no longer fully utilized for sentiment analysis although they still provide important features in the traditional setting. This paper introduces a novel approach to sentiment analysis that integrates lexicon embeddings and an attention mechanism into Convolutional Neural Networks. Our approach performs separate convolutions for word and lexicon embeddings and provides a global view of the document using attention. Read More

Channel estimation is of critical importance in millimeter-wave (mmWave) multiple-input multiple-output (MIMO) systems. Due to the use of large antenna arrays, low-complexity mmWave specific channel estimation algorithms are required. In this paper, an auxiliary beam pair design is proposed to provide high-resolution estimates of the channel's angle-of-departure (AoD) and angle-of-arrival (AoA) for mmWave MIMO systems. Read More

The Reactor Experiment for Neutrino Oscillation (RENO) has been taking electron antineutrino ($\overline{\nu}_{e}$) data from the reactors in Yonggwang, Korea, using two identical detectors since August 2011. Using roughly 500 live days of data through January 2013 we observe 290,775 (31,514) reactor $\overline{\nu}_{e}$ candidate events with 2.8 (4. Read More

Millimeter wave (mmWave) vehicular communication systems will provide an abundance of bandwidth for the exchange of raw sensor data and support driver-assisted and safety-related functionalities. Lack of secure communication links, however, may lead to abuses and attacks that jeopardize the efficiency of transportation systems and the physical safety of drivers. In this paper, we propose two physical layer (PHY) security techniques for vehicular mmWave communication systems. Read More

2016Oct
Affiliations: 1Kavli Institute for Particle Astrophysics and Cosmology, SLAC National Accelerator Laboratory, 2University of Surrey, 3University of Zurich, 4Max-Planck-Institut für Astronomie, 5Zentrum für Astronomie der Universität Heidelberg, Institut für Theoretische Astrophysik, 6University of Texas, Austin, 7University of Zurich, 8McMaster University, 9Sorbonne Universites, UPMC Univ Paris 6 et CNRS, 10University of Washington, Seattle, 11École Polytechnique Fédérale de Lausanne, 12University of Washington, Seattle, 13Fermi National Accelerator Laboratory, 14University of Maryland, 15University of Cambridge, 16University of Edinburgh, 17National Center for Supercomputing Applications, 18University of Illinois, Urbana, 19Kavli Institute for Particle Astrophysics and Cosmology, SLAC National Accelerator Laboratory, 20New Mexico State University, 21McMaster University, 22Rochester Institute of Technology, 23University of Cambridge, 24The Hebrew University, 25National Center for Supercomputing Applications, 26California Institute of Technology, 27California Institute of Technology, 28New Mexico State University, 29University of Michigan, Ann Arbor, 30University of California at Santa Cruz, 31Yale University, 32University of Zurich, 33Osaka University, 34University of Zurich, 35National Superconducting Cyclotron Laboratory, Michigan State University, 36Kavli Institute for Particle Astrophysics and Cosmology, SLAC National Accelerator Laboratory, 37The Hebrew University, 38University of Chicago, 39Osaka University, 40Heidelberger Institut für Theoretische Studien, 41University of Kansas, 42McMaster University, 43Georgia Institute of Technology

Using an isolated Milky Way-mass galaxy simulation, we compare results from 9 state-of-the-art gravito-hydrodynamics codes widely used in the numerical community. We utilize the infrastructure we have built for the AGORA High-resolution Galaxy Simulations Comparison Project. This includes the common disk initial conditions, common physics models (e. Read More