Kai Chen - Fermi National Accelerator Lab

Kai Chen
Are you Kai Chen?

Claim your profile, edit publications, add additional information:

Contact Details

Kai Chen
Fermi National Accelerator Lab
United States

Pubs By Year

Pub Categories

Mathematics - Information Theory (11)
Computer Science - Information Theory (11)
High Energy Physics - Phenomenology (9)
Quantum Physics (7)
High Energy Physics - Experiment (5)
Physics - Instrumentation and Detectors (5)
Computer Science - Computer Vision and Pattern Recognition (5)
Computer Science - Cryptography and Security (4)
Physics - Materials Science (3)
Computer Science - Learning (2)
Physics - Accelerator Physics (2)
Statistics - Machine Learning (2)
Physics - Mesoscopic Systems and Quantum Hall Effect (2)
Computer Science - Computation and Language (2)
Computer Science - Distributed; Parallel; and Cluster Computing (1)
Computer Science - Networking and Internet Architecture (1)
Physics - Optics (1)
Computer Science - Software Engineering (1)
Physics - Chemical Physics (1)
Physics - Statistical Mechanics (1)
Physics - Computational Physics (1)
Mathematics - Algebraic Geometry (1)
Physics - Popular Physics (1)

Publications Authored By Kai Chen

In this paper, we propose a Polar coding scheme for parallel Gaussian channels. The encoder knows the sum rate of the parallel channels but does not know the rate of any channel. By using the nesting property of Polar code, we design a coding/decoding scheme to achieve the sum rates. Read More

Measurement-device-independent quantum key distribution (MDI-QKD) protocol was proposed to remove all the detector side channel attacks, while its security relies on the trusted encoding systems. Here we propose a one-sided MDI-QKD (1SMDI-QKD) protocol, which enjoys detection loophole-free advantage, and at the same time weakens the state preparation assumption in MDI-QKD. The 1SMDI-QKD can be regarded as a modified MDI-QKD, in which Bob's encoding system is trusted, while Alice's is uncharacterized. Read More

This paper presents a Convolutional Neural Network (CNN) based page segmentation method for handwritten historical document images. We consider page segmentation as a pixel labeling problem, i.e. Read More

Singlet exciton fission (SF), the conversion of one spin-singlet exciton (S1) into two spin-triplet excitons (T1), could provide a means to overcome the Shockley-Queisser limit in photovoltaics. SF as measured by the decay of S1 has been shown to occur efficiently and independently of temperature even when the energy of S1 is as much as 200 meV less than 2T1. Here, we study films of TIPS-tetracene using transient optical spectroscopy and show that the initial rise of the triplet pair state (TT) occurs in 300 fs, matched by rapid loss of S1 stimulated emission, and that this process is mediated by the strong coupling of electronic and vibrational degrees of freedom. Read More

Inspired by the boom of the consumer IoT market, many device manufacturers, start-up companies and technology giants have jumped into the space. Unfortunately, the exciting utility and rapid marketization of IoT, come at the expense of privacy and security. Industry reports and academic work have revealed many attacks on IoT systems, resulting in privacy leakage, property loss and large-scale availability problems. Read More

Hypergraph states, a generalization of graph states, constitute a large class of quantum states with intriguing non-local properties and have promising applications in quantum information science and technology. In this paper, we generalize hypergraph states to qudit hypergraph states, i.e. Read More

We present the systematical decomposition results of three-dimensional (3D) fragmentation functions (FFs) from parton correlators for spin-1 hadron. We choose one of the best process $e^+e^-\to V\pi X$ to study the 3D and tensor polarization dependent FFs. By making a general kinematic analysis we show that the cross section is expressed by 81 independent structure functions, and get the results of the azimuthal and spin asymmetries. Read More

A logarithmic oscillator has been proposed recently to serve as a thermostat recently since it has a peculiar property of infinite heat capacity according to the virial theorem. In order to examine its feasibility by numerical simulations, a modified logarithmic potential has been applied in previous studies to eliminate the singularity at origin. The role played by the modification has been elucidated in the present study. Read More

Polar codes are the first class of constructive channel codes achieving the symmetric capacity of the binary-input discrete memoryless channels. But the corresponding code length is limited to the power of two. In this paper, we establish a systematic framework to design the rate-compatible punctured polar (RCPP) codes with arbitrary code length. Read More

We present for the first time the complete twist-4 result for the semi-inclusive deeply inelastic scattering $e^- N \to e^-qX$ with polarized electron and proton beams at the tree level of pQCD. The calculations have been carried out using the formulism obtained after collinear expansion where the multiple gluon scattering are taken into account and gauge links are obtained automatically in a systematical way. The results show in particular that there are twist-4 contributions to all the eight twist-2 structure functions for $e^- N \to e^-hX$ that correspond to the eight twist-2 transverse momentum dependent parton distribution functions. Read More

Recently, discriminatively learned correlation filters (DCF) has drawn much attention in visual object tracking community. The success of DCF is potentially attributed to the fact that a large amount of samples are utilized to train the ridge regression model and predict the location of object. To solve the regression problem in an efficient way, these samples are all generated by circularly shifting from a search patch. Read More

Android Framework is a layer of software that exists in every Android system managing resources of all Android apps. A vulnerability in Android Framework can lead to severe hacks, such as destroying user data and leaking private information. With tens of millions of Android devices unpatched due to Android fragmentation, vulnerabilities in Android Framework certainly attract attackers to exploit them. Read More

The longitudinal polarization of hyperons in $e^+e^-$ annihilation at high energies depends on the longitudinal polarization of the quark produced at the $e^+e^-$ annihilation vertex whereas the spin alignment of vector mesons is independent of it. They exhibit very different energy dependences. We use the longitudinal polarization of Lambda hyperon and the spin alignment of $K^*$ as examples and present numerical results of energy dependences. Read More

We prove the K\"unneth formula for the irregular Hodge filtrations on the exponentially twisted de Rham and the Higgs cohomologies of smooth quasi-projective complex varieties. The method involves a careful study of the underlying chain complexes under a certain elimination of indeterminacy. Read More

For accelerator physics experiment, the Front-End (FE) electronics components are subjected to a radiation background. GigaBit Transceiver (GBT) architecture is a protocol developed by CERN, to provide high-speed (4.8 Gbps) radiation hard optical link for data transmission. Read More

Various paradoxes about the relativity theory have been developed since the birth of this theory. Each paradox somewhat shows people's query about the relativity theory, and solving of each paradox demonstrates the correctness of relativity theory once again. In this paper, four paradoxes about the special theory of relativity are brought forward: displacement paradox, electromagnetic transformation paradox, Doppler paradox and magnetic force paradox. Read More

We present the systematic results for three dimensional fragmentation functions of spin one hadrons defined via quark-quark correlator. There are totally 72 such fragmentation functions, among them 18 are twist-2, 36 are twist-3 and 18 are twist-4. We also present the relationships between the twist-3 parts and those defined via quark-gluon-quark correlator obtained from the QCD equation of motion. Read More

One of the main challenges of visual object tracking comes from the arbitrary appearance of objects. Most existing algorithms try to resolve this problem as an object-specific task, i.e. Read More

Scene text recognition plays an important role in many computer vision applications. The small size of available public available scene text datasets is the main challenge when training a text recognition CNN model. In this paper, we propose a CNN based Chinese text recognition algorithm. Read More

Candidate text region extraction plays a critical role in convolutional neural network (CNN) based text detection from natural images. In this paper, we propose a CNN based scene text detection algorithm with a new text region extractor. The so called candidate text region extractor I-MSER is based on Maximally Stable Extremal Region (MSER), which can improve the independency and completeness of the extracted candidate text regions. Read More

Angular momentum transport in magnetic multilayered structures plays a central role in spintronic physics and devices. The angular momentum currents or spin currents are carried by either quasi-particles such as electrons and magnons, or by macroscopic order parameters such as local magnetization of ferromagnets. Based on the generic interface exchange interaction, we develop a microscopic theory that describes interfacial spin conductance for various interfaces among non-magnetic metals, ferromagnetic and antiferromagnetic insulators. Read More

ATLAS LAr calorimeter will perform its Phase-I upgrade during the long shut down (LS2) in 2018, a new LAr Trigger Digitizer Board (LTDB) will be designed and installed. Several commercial-off-the-shelf (COTS) multichannel high-speed ADCs have been selected as possible backups of the radiation tolerant ADC ASICs for LTDB. In order to evaluate the radiation tolerance of these back up commercial ADCs, we developed an ADC radiation tolerance characterization system, which includes the ADC boards, data acquisition (DAQ) board, signal generator, external power supplies and a host computer. Read More

We report large enhancement of thermally injected spin current in normal metal (NM)/antiferromagnet(AF)/yttrium iron garnet(YIG), where a thin AF insulating layer of NiO or CoO can enhance spin current from YIG to a NM by up to a factor of 10. The spin current enhancement in NM/AF/YIG, with a pronounced maximum near the N\'eel temperature of the thin AF layer, has been found to scale linearly with the spin-mixing conductance at the NM/YIG interface for NM = 3d, 4d, and 5d metals. Calculations of spin current enhancement and spin mixing conductance are qualitatively consistent with the experimental results. Read More

The boundary between classical and quantum correlations is well characterised by linear constraints called Bell inequalities. It is much harder to characterise the boundary of the quantum set itself in the space of no-signaling correlations. For the points on the quantum boundary that violate maximally some Bell inequalities, Oppenheim and Wehner [Science 330, 1072 (2010)] pointed out a complex property: the optimal measurements of Alice steer Bob's local state to the eigenstate of an effective operator corresponding to its maximal eigenvalue. Read More

Coupling mechanical degrees of freedom with plasmonic resonances has potential applications in optomechanics, sensing, and active plasmonics. Here we demonstrate a suspended two-wire plasmonic nano-antenna acting like a nano-electrometer. The antenna wires are supported and electrically connected via thin leads without disturbing the antenna resonance. Read More

A rateless coding scheme transmits incrementally more and more coded bits over an unknown channel until all the information bits are decoded reliably by the receiver. We propose a new rateless coding scheme based on polar codes, and we show that this scheme is capacity-achieving, i.e. Read More

Polar codes under cyclic redundancy check aided successive cancellation list (CA-SCL) decoding can outperform the turbo codes and the LDPC codes when code lengths are configured to be several kilobits. In order to reduce the decoding complexity, a novel tree-pruning scheme for the \mbox{SCL/CA-SCL} decoding algorithms is proposed in this paper. In each step of the decoding procedure, the candidate paths with metrics less than a threshold are dropped directly to avoid the unnecessary computations for the path searching on the descendant branches of them. Read More

We present a short overview on the studies of transverse momentum dependent parton distribution functions of the nucleon. The aim of such studies is to provide a three dimensional imagining of the nucleon and a comprehensive description of semi-inclusive high energy reactions. By comparing with the theoretical framework that we have for the inclusive deep inelastic lepton-nucleon scattering and the one-dimensional imaging of the nucleon, we summarize what we need to do in order to construct such a comprehensive theoretical framework for semi-inclusive processes in terms of three dimensional gauge invariant parton distributions. Read More

In this paper, we propose a decision-aided scheme for parallel SC-List decoding of polar codes. At the parallel SC-List decoder, each survival path is extended based on multiple information bits, therefore the number of split paths becomes very large and the sorting to find the top L paths becomes very complex. We propose a decision-aided scheme to reduce the number of split paths and thus reduce the sorting complexity. Read More

On modern operating systems, applications under the same user are separated from each other, for the purpose of protecting them against malware and compromised programs. Given the complexity of today's OSes, less clear is whether such isolation is effective against different kind of cross-app resource access attacks (called XARA in our research). To better understand the problem, on the less-studied Apple platforms, we conducted a systematic security analysis on MAC OS~X and iOS. Read More

We present the systematic results for three dimensional fragmentation functions defined via the quark-quark correlator for hadrons with spin 0, 1/2 and 1 respectively. These results are presented in terms of a spin independent part, a vector polarization dependent part and a tensor polarization dependent part. For spin 0 hadrons, only the spin independent part is needed, for spin 1/2 hadron, the polarization independent and vector polarization dependent parts are present, while for spin 1 hadrons, all the three parts exist. Read More

Low-temperature-resistivity plateau observed in $\rm SmB_6$ single crystal,which is due to surface, not bulk, conduction has been confirmed from electrical transport measurements. Recently, the correlation between bulk thermodynamic measurements and the low-temperature-resistance plateau in $\rm SmB_6$ have been investigated and a change in Sm valence at the surface has been obtained from x-ray absorption spectroscopy and x-ray magnetic circular dichroism. Here we show that the statement of the report are not supported by the results from x-ray absorption spectroscopy and x-ray magnetic circular dichroism. Read More

Einstein-Podolsky-Rosen (EPR) steering demonstrates that two parties share entanglement even if the measurement devices of one party are untrusted. Here, going beyond this bipartite concept, we develop a novel formalism to explore a large class of EPR steering from generic multipartite quantum systems of arbitrarily high dimensionality and degrees of freedom, such as graph states and hyperentangled systems. All of these quantum characteristics of genuine high-order EPR steering can be efficiently certified with few measurement settings in experiments. Read More

Electronic components used in high energy physics experiments are subjected to a radiation background composed of high energy hadrons, mesons and photons. These particles can induce permanent and transient effects that affect the normal device operation. Ionizing dose and displacement damage can cause chronic damage which disable the device permanently. Read More

By applying the collinear expansion to the semi-inclusive hadron production process $e^++e^-\to h+\bar q(jet)+X$ at high energies, we construct a theoretical framework where the leading and higher twist contributions at the leading perturbative QCD can be calculated systematically. With this framework, we calculate the contributions up to twist-3 for spin-0, spin-1/2 and spin-1 hadrons respectively. We present the results for the hadronic tensors, the differential cross sections, the azimuthal asymmetries, and the polarizations of the hadrons. Read More

Vulnerabilities and imperfections of single-photon detectors have been shown to compromise security for quantum key distribution (QKD). The measurement-device-independent QKD (MDI-QKD) appears to be the most appealing solution to solve the issues. However, in practice one faces severe obstacles of having significantly lower key generation rate, difficult two photon interferences, and remote synchronization etc. Read More

Data center networks need to provide low latency, especially at the tail, as demanded by many interactive applications. To improve tail latency, existing approaches require modifications to switch hardware and/or end-host operating systems, making them difficult to be deployed. We present the design, implementation, and evaluation of RepNet, an application layer transport that can be deployed today. Read More

Radiation-tolerant, high speed, high density and low power commercial off-the-shelf (COTS) analog-to-digital converters (ADCs) are planned to be used in the upgrade to the Liquid Argon (LAr) calorimeter front end (FE) trigger readout electronics. Total ionization dose (TID) and single event effect (SEE) are two important radiation effects which need to be characterized on COTS ADCs. In our initial TID test, Texas Instruments (TI) ADS5272 was identified to be the top performer after screening a total 17 COTS ADCs from different manufacturers with dynamic range and sampling rate meeting the requirements of the FE electronics. Read More

The polar codes are proven to be capacity-achieving and are shown to have equivalent or even better finite-length performance than the turbo/LDPC codes under some improved decoding algorithms over the additive white Gaussian noise (AWGN) channels. Polar coding is based on the so-called channel polarization phenomenon induced by a transform over the underlying binary-input channel. The channel polarization is found to be universal in many signal processing problems and has been applied to the coded modulation schemes. Read More

A hybrid automatic repeat request scheme with Chase combing (HARQ-CC) of polar codes is proposed. The existing analysis tools of the underlying rate-compatible punctured polar (RCPP) codes for additive white Gaussian noise (AWGN) channels are extended to Rayleigh fading channels. Then, an approximation bound of the throughput efficiency for the polar coded HARQ-CC scheme is derived. Read More

The recently introduced continuous Skip-gram model is an efficient method for learning high-quality distributed vector representations that capture a large number of precise syntactic and semantic word relationships. In this paper we present several extensions that improve both the quality of the vectors and the training speed. By subsampling of the frequent words we obtain significant speedup and also learn more regular word representations. Read More

Sphere decoding (SD) of polar codes is an efficient method to achieve the error performance of maximum likelihood (ML) decoding. But the complexity of the conventional sphere decoder is still high, where the candidates in a target sphere are enumerated and the radius is decreased gradually until no available candidate is in the sphere. In order to reduce the complexity of SD, a stack SD (SSD) algorithm with an efficient enumeration is proposed in this paper. Read More

Authors: LBNE Collaboration, Corey Adams1, David Adams2, Tarek Akiri3, Tyler Alion4, Kris Anderson5, Costas Andreopoulos6, Mike Andrews7, Ioana Anghel8, João Carlos Costa dos Anjos9, Maddalena Antonello10, Enrique Arrieta-Diaz11, Marina Artuso12, Jonathan Asaadi13, Xinhua Bai14, Bagdat Baibussinov15, Michael Baird16, Baha Balantekin17, Bruce Baller18, Brian Baptista19, D'Ann Barker20, Gary Barker21, William A. Barletta22, Giles Barr23, Larry Bartoszek24, Amit Bashyal25, Matt Bass26, Vincenzo Bellini27, Pietro Angelo Benetti28, Bruce E. Berger29, Marc Bergevin30, Eileen Berman31, Hans-Gerd Berns32, Adam Bernstein33, Robert Bernstein34, Babu Bhandari35, Vipin Bhatnagar36, Bipul Bhuyan37, Jianming Bian38, Mary Bishai39, Andrew Blake40, Flor Blaszczyk41, Erik Blaufuss42, Bruce Bleakley43, Edward Blucher44, Steve Blusk45, Virgil Bocean46, F. Boffelli47, Jan Boissevain48, Timothy Bolton49, Maurizio Bonesini50, Steve Boyd51, Andrew Brandt52, Richard Breedon53, Carl Bromberg54, Ralph Brown55, Giullia Brunetti56, Norman Buchanan57, Bill Bugg58, Jerome Busenitz59, E. Calligarich60, Leslie Camilleri61, Giada Carminati62, Rachel Carr63, Cesar Castromonte64, Flavio Cavanna65, Sandro Centro66, Alex Chen67, Hucheng Chen68, Kai Chen69, Daniel Cherdack70, Cheng-Yi Chi71, Sam Childress72, Brajesh Chandra Choudhary73, Georgios Christodoulou74, Cabot-Ann Christofferson75, Eric Church76, David Cline77, Thomas Coan78, Alfredo Cocco79, Joao Coelho80, Stephen Coleman81, Janet M. Conrad82, Mark Convery83, Robert Corey84, Luke Corwin85, Jack Cranshaw86, Daniel Cronin-Hennessy87, A. Curioni88, Helio da Motta89, Tristan Davenne90, Gavin S. Davies91, Steven Dazeley92, Kaushik De93, Andre de Gouvea94, Jeffrey K. de Jong95, David Demuth96, Chris Densham97, Milind Diwan98, Zelimir Djurcic99, R. Dolfini100, Jeffrey Dolph101, Gary Drake102, Stephen Dye103, Hongue Dyuang104, Daniel Edmunds105, Steven Elliott106, Muhammad Elnimr107, Sarah Eno108, Sanshiro Enomoto109, Carlos O. Escobar110, Justin Evans111, A. Falcone112, Lisa Falk113, Amir Farbin114, Christian Farnese115, Angela Fava116, John Felde117, S. Fernandes118, Fernando Ferroni119, Farshid Feyzi120, Laura Fields121, Alex Finch122, Mike Fitton123, Bonnie Fleming124, Jack Fowler125, Walt Fox126, Alex Friedland127, Stu Fuess128, Brian Fujikawa129, Hugh Gallagher130, Raj Gandhi131, Gerald Garvey132, Victor M. Gehman133, Gianluigi de Geronimo134, Daniele Gibin135, Ronald Gill136, Ricardo A. Gomes137, Maury C. Goodman138, Jason Goon139, Nicholas Graf140, Mathew Graham141, Rik Gran142, Christopher Grant143, Nick Grant144, Herbert Greenlee145, Leland Greenler146, Sean Grullon147, Elena Guardincerri148, Victor Guarino149, Evan Guarnaccia150, Germano Guedes151, Roxanne Guenette152, Alberto Guglielmi153, Marcelo M. Guzzo154, Alec T. Habig155, Robert W. Hackenburg156, Haleh Hadavand157, Alan Hahn158, Martin Haigh159, Todd Haines160, Thomas Handler161, Sunej Hans162, Jeff Hartnell163, John Harton164, Robert Hatcher165, Athans Hatzikoutelis166, Steven Hays167, Eric Hazen168, Mike Headley169, Anne Heavey170, Karsten Heeger171, Jaret Heise172, Robert Hellauer173, Jeremy Hewes174, Alexander Himmel175, Matthew Hogan176, Pedro Holanda177, Anna Holin178, Glenn Horton-Smith179, Joe Howell180, Patrick Hurh181, Joey Huston182, James Hylen183, Richard Imlay184, Jonathan Insler185, G. Introzzi186, Zeynep Isvan187, Chris Jackson188, John Jacobsen189, David E. Jaffe190, Cat James191, Chun-Min Jen192, Marvin Johnson193, Randy Johnson194, Robert Johnson195, Scott Johnson196, William Johnston197, John Johnstone198, Ben J. P. Jones199, H. Jostlein200, Thomas Junk201, Richard Kadel202, Karl Kaess203, Georgia Karagiorgi204, Jarek Kaspar205, Teppei Katori206, Boris Kayser207, Edward Kearns208, Paul Keener209, Ernesto Kemp210, Steve H. Kettell211, Mike Kirby212, Joshua Klein213, Gordon Koizumi214, Sacha Kopp215, Laura Kormos216, William Kropp217, Vitaly A. Kudryavtsev218, Ashok Kumar219, Jason Kumar220, Thomas Kutter221, Franco La Zia222, Kenneth Lande223, Charles Lane224, Karol Lang225, Francesco Lanni226, Richard Lanza227, Tony Latorre228, John Learned229, David Lee230, Kevin Lee231, Qizhong Li232, Shaorui Li233, Yichen Li234, Zepeng Li235, Jiang Libo236, Steve Linden237, Jiajie Ling238, Jonathan Link239, Laurence Littenberg240, Hu Liu241, Qiuguang Liu242, Tiankuan Liu243, John Losecco244, William Louis245, Byron Lundberg246, Tracy Lundin247, Jay Lundy248, Ana Amelia Machado249, Cara Maesano250, Steve Magill251, George Mahler252, David Malon253, Stephen Malys254, Francesco Mammoliti255, Samit Kumar Mandal256, Anthony Mann257, Paul Mantsch258, Alberto Marchionni259, William Marciano260, Camillo Mariani261, Jelena Maricic262, Alysia Marino263, Marvin Marshak264, John Marshall265, Shiegenobu Matsuno266, Christopher Mauger267, Konstantinos Mavrokoridis268, Nate Mayer269, Neil McCauley270, Elaine McCluskey271, Kirk McDonald272, Kevin McFarland273, David McKee274, Robert McKeown275, Robert McTaggart276, Rashid Mehdiyev277, Dongming Mei278, A. Menegolli279, Guang Meng280, Yixiong Meng281, David Mertins282, Mark Messier283, William Metcalf284, Radovan Milincic285, William Miller286, Geoff Mills287, Sanjib R. Mishra288, Nikolai Mokhov289, Claudio Montanari290, David Montanari291, Craig Moore292, Jorge Morfin293, Ben Morgan294, William Morse295, Zander Moss296, Célio A. Moura297, Stuart Mufson298, David Muller299, Jim Musser300, Donna Naples301, Jim Napolitano302, Mitch Newcomer303, Ryan Nichol304, Tim Nicholls305, Evan Niner306, Barry Norris307, Jaroslaw Nowak308, Helen O'Keeffe309, Roberto Oliveira310, Travis Olson311, Brian Page312, Sandip Pakvasa313, Ornella Palamara314, Jon Paley315, Vittorio Paolone316, Vaia Papadimitriou317, Seongtae Park318, Zohreh Parsa319, Kinga Partyka320, Bob Paulos321, Zarko Pavlovic322, Simon Peeters323, Andy Perch324, Jon D. Perkin325, Roberto Petti326, Andre Petukhov327, Francesco Pietropaolo328, Robert Plunkett329, Chris Polly330, Stephen Pordes331, Maxim Potekhin332, Renato Potenza333, Arati Prakash334, Oleg Prokofiev335, Xin Qian336, Jennifer L. Raaf337, Veljko Radeka338, Igor Rakhno339, Yorck Ramachers340, Regina Rameika341, John Ramsey342, A. Rappoldi343, G. L. Raselli344, Peter Ratoff345, Shreyas Ravindra346, Brian Rebel347, Juergen Reichenbacher348, Dianne Reitzner349, Sergio Rescia350, Martin Richardson351, Kieth Rielage352, Kurt Riesselmann353, Matt Robinson354, Leon Rochester355, Michael Ronquest356, Marc Rosen357, M. Rossella358, Carlo Rubbia359, Russ Rucinski360, Sandeep Sahijpal361, Himansu Sahoo362, Paola Sala363, Delia Salmiera364, Nicholas Samios365, Mayly Sanchez366, Alberto Scaramelli367, Heidi Schellman368, Richard Schmitt369, David Schmitz370, Jack Schneps371, Kate Scholberg372, Ettore Segreto373, Stanley Seibert374, Liz Sexton-Kennedy375, Mike Shaevitz376, Peter Shanahan377, Rahul Sharma378, Terri Shaw379, Nikolaos Simos380, Venktesh Singh381, Gus Sinnis382, William Sippach383, Tomasz Skwarnicki384, Michael Smy385, Henry Sobel386, Mitch Soderberg387, John Sondericker388, Walter Sondheim389, Alexandre Sousa390, Neil J. C. Spooner391, Michelle Stancari392, Ion Stancu393, Dorota Stefan394, Andy Stefanik395, James Stewart396, Sheldon Stone397, James Strait398, Matthew Strait399, Sergei Striganov400, Gregory Sullivan401, Yujing Sun402, Louise Suter403, Andrew Svenson404, Robert Svoboda405, Barbara Szczerbinska406, Andrzej Szelc407, Matthew Szydagis408, Stefan Söldner-Rembold409, Richard Talaga410, Matthew Tamsett411, Salman Tariq412, Rex Tayloe413, Charles Taylor414, David Taylor415, Artin Teymourian416, Harry Themann417, Matthew Thiesse418, Jenny Thomas419, Lee F. Thompson420, Mark Thomson421, Craig Thorn422, Matt Thorpe423, Xinchun Tian424, Doug Tiedt425, Walter Toki426, Nikolai Tolich427, M. Torti428, Matt Toups429, Christos Touramanis430, Mani Tripathi431, Igor Tropin432, Yun-Tse Tsai433, Craig Tull434, Martin Tzanov435, Jon Urheim436, Shawn Usman437, Mark Vagins438, Gustavo Valdiviesso439, Rick Van Berg440, Richard Van de Water441, Peter Van Gemmeren442, Filippo Varanini443, Gary Varner444, Kamran Vaziri445, Gueorgui Velev446, Sandro Ventura447, Chiara Vignoli448, Brett Viren449, Dan Wahl450, Abby Waldron451, Christopher W. Walter452, Hanguo Wang453, Wei Wang454, Karl Warburton455, David Warner456, Ryan Wasserman457, Blake Watson458, Alfons Weber459, Wenzhao Wei460, Douglas Wells461, Matthew Wetstein462, Andy White463, Hywel White464, Lisa Whitehead465, Denver Whittington466, Joshua Willhite467, Robert J. Wilson468, Lindley Winslow469, Kevin Wood470, Elizabeth Worcester471, Matthew Worcester472, Tian Xin473, Kevin Yarritu474, Jingbo Ye475, Minfang Yeh476, Bo Yu477, Jae Yu478, Tianlu Yuan479, A. Zani480, Geralyn P. Zeller481, Chao Zhang482, Chao Zhang483, Eric D. Zimmerman484, Robert Zwaska485
Affiliations: 1Yale University, 2Brookhaven National Lab, 3Duke University, 4Univ. of South Carolina, 5Fermi National Accelerator Lab, 6Univ. of Liverpool, 7Fermi National Accelerator Lab, 8Iowa State University, 9Centro Brasileiro de Pesquisas Físicas, 10Laboratori Nazionali del Gran Sasso, 11Michigan State University, 12Syracuse University, 13Syracuse University, 14South Dakota School of Mines and Technology, 15Univ. of Padova, 16Indiana University, 17Univ. of Wisconsin, 18Fermi National Accelerator Lab, 19Indiana University, 20Univ. of South Dakota, 21Univ. of Warwick, 22Massachusetts Institute of Technology, 23Univ. of Oxford, 24Los Alamos National Laboratory, 25Univ. of Texas, 26Colorado State University, 27Univ. di Catania, 28Univ. of Pavia, INFN Sezione di Pavia, 29Colorado State University, 30Univ. of California, 31Fermi National Accelerator Lab, 32Univ. of California, 33Lawrence Livermore National Lab, 34Fermi National Accelerator Lab, 35Univ. of Houston, 36Panjab University, 37Indian Institute of Technology Guwahati, 38Univ. of Minnesota, 39Brookhaven National Lab, 40Univ. of Cambridge, 41Louisiana State University, 42Univ. of Maryland, 43South Dakota State University, 44Univ. of Chicago, 45Syracuse University, 46Fermi National Accelerator Lab, 47Univ. of Pavia, INFN Sezione di Pavia, 48Los Alamos National Laboratory, 49Kansas State University, 50Univ. of Milano and INFN Sezione di Milano Bicocca, 51Univ. of Warwick, 52Univ. of Texas, 53Univ. of California, 54Michigan State University, 55Brookhaven National Lab, 56Fermi National Accelerator Lab, 57Colorado State University, 58Univ. of Tennessee, 59Univ. of Alabama, 60Univ. of Pavia, INFN Sezione di Pavia, 61Columbia University, 62Univ. of California, 63Columbia University, 64Univ. Federal de Goias, 65Yale University, 66Univ. of Padova, 67Fermi National Accelerator Lab, 68Brookhaven National Lab, 69Brookhaven National Lab, 70Colorado State University, 71Columbia University, 72Fermi National Accelerator Lab, 73Univ. of Delhi, 74Univ. of Liverpool, 75South Dakota School of Mines and Technology, 76Yale University, 77Univ. of California, 78Southern Methodist University, 79Univ. di Napoli, 80Tufts University, 81Univ. of Colorado, 82Massachusetts Institute of Technology, 83SLAC National Acceleratory Laboratory, 84South Dakota School of Mines and Technology, 85South Dakota School of Mines and Technology, 86Argonne National Lab, 87Univ. of Minnesota, 88Univ. of Milano and INFN Sezione di Milano Bicocca, 89Centro Brasileiro de Pesquisas Físicas, 90STFC Rutherford Appleton Laboratory, 91Iowa State University, 92Lawrence Livermore National Lab, 93Univ. of Texas, 94Northwestern University, 95Univ. of Oxford, 96Univ. of Minnesota, 97STFC Rutherford Appleton Laboratory, 98Brookhaven National Lab, 99Argonne National Lab, 100Univ. of Pavia, INFN Sezione di Pavia, 101Brookhaven National Lab, 102Argonne National Lab, 103Univ. of Hawaii, 104Univ. of South Carolina, 105Michigan State University, 106Los Alamos National Laboratory, 107Univ. of Alabama, 108Univ. of Maryland, 109Univ. of Washington, 110Fermi National Accelerator Lab, 111Univ. of Manchester, 112Univ. of Pavia, INFN Sezione di Pavia, 113Univ. of Sussex, 114Univ. of Texas, 115Univ. of Padova, 116Univ. of Padova, 117Univ. of Maryland, 118Univ. of Alabama, 119Univ. of Pavia, INFN Sezione di Pavia, 120Univ. of Wisconsin, 121Northwestern University, 122Lancaster University, 123STFC Rutherford Appleton Laboratory, 124Yale University, 125Duke University, 126Indiana University, 127Los Alamos National Laboratory, 128Fermi National Accelerator Lab, 129Lawrence Berkeley National Lab, 130Tufts University, 131Harish-Chandra Research Institute, 132Los Alamos National Laboratory, 133Lawrence Berkeley National Lab, 134Brookhaven National Lab, 135Univ. of Padova, 136Brookhaven National Lab, 137Univ. Federal de Goias, 138Argonne National Lab, 139Univ. of South Dakota, 140Univ. of Pittsburgh, 141SLAC National Acceleratory Laboratory, 142Univ. of Minnesota, 143Univ. of California, 144Lancaster University, 145Fermi National Accelerator Lab, 146Univ. of Wisconsin, 147Univ. of Pennsylvania, 148Los Alamos National Laboratory, 149Argonne National Lab, 150Virginia Tech, 151Univ. Estadual de Feira de Santana, 152Yale University, 153Univ. of Padova, 154Univ. de Campinas, 155Univ. of Minnesota, 156Brookhaven National Lab, 157Univ. of Texas, 158Fermi National Accelerator Lab, 159Univ. of Warwick, 160Los Alamos National Laboratory, 161Univ. of Tennessee, 162Brookhaven National Lab, 163Univ. of Sussex, 164Colorado State University, 165Fermi National Accelerator Lab, 166Univ. of Tennessee, 167Fermi National Accelerator Lab, 168Boston University, 169South Dakota Science and Technology Authority, 170Fermi National Accelerator Lab, 171Yale University, 172South Dakota Science and Technology Authority, 173Univ. of Maryland, 174Univ. of Manchester, 175Duke University, 176Colorado State University, 177Univ. de Campinas, 178University College London, 179Kansas State University, 180Fermi National Accelerator Lab, 181Fermi National Accelerator Lab, 182Michigan State University, 183Fermi National Accelerator Lab, 184Louisiana State University, 185Louisiana State University, 186Univ. of Pavia, INFN Sezione di Pavia, 187Brookhaven National Lab, 188Univ. of Texas, 189Univ. of Maryland, 190Brookhaven National Lab, 191Fermi National Accelerator Lab, 192Virginia Tech, 193Fermi National Accelerator Lab, 194Univ. of Cincinnati, 195Univ. of Colorado, 196Univ. of Colorado, 197Colorado State University, 198Fermi National Accelerator Lab, 199Massachusetts Institute of Technology, 200Fermi National Accelerator Lab, 201Fermi National Accelerator Lab, 202Lawrence Berkeley National Lab, 203Univ. of Minnesota, 204Columbia University, 205Univ. of Washington, 206Massachusetts Institute of Technology, 207Fermi National Accelerator Lab, 208Boston University, 209Univ. of Pennsylvania, 210Univ. de Campinas, 211Brookhaven National Lab, 212Fermi National Accelerator Lab, 213Univ. of Pennsylvania, 214Fermi National Accelerator Lab, 215Univ. of Texas, 216Lancaster University, 217Univ. of California, 218Univ. of Sheffield, 219Panjab University, 220Univ. of Hawaii, 221Louisiana State University, 222Univ. di Catania, 223Univ. of Pennsylvania, 224Drexel University, 225Univ. of Texas, 226Brookhaven National Lab, 227Massachusetts Institute of Technology, 228Univ. of Pennsylvania, 229Univ. of Hawaii, 230Los Alamos National Laboratory, 231Univ. of California, 232Fermi National Accelerator Lab, 233Brookhaven National Lab, 234Brookhaven National Lab, 235Duke University, 236Univ. of South Carolina, 237Boston University, 238Brookhaven National Lab, 239Virginia Tech, 240Brookhaven National Lab, 241Univ. of Houston, 242Los Alamos National Laboratory, 243Southern Methodist University, 244Univ. of Notre Dame, 245Los Alamos National Laboratory, 246Fermi National Accelerator Lab, 247Fermi National Accelerator Lab, 248Univ. of Texas, 249INFN, Laboratori Nazionali del Gran Sasso, 250Univ. of California, 251Argonne National Lab, 252Brookhaven National Lab, 253Argonne National Lab, 254National Geospatial-Intelligence Agency, 255Univ. di Catania, 256Univ. of Delhi, 257Tufts University, 258Fermi National Accelerator Lab, 259Fermi National Accelerator Lab, 260Brookhaven National Lab, 261Virginia Tech, 262Univ. of Hawaii, 263Univ. of Colorado, 264Univ. of Minnesota, 265Univ. of Cambridge, 266Univ. of Hawaii, 267Los Alamos National Laboratory, 268Univ. of Liverpool, 269Tufts University, 270Univ. of Liverpool, 271Fermi National Accelerator Lab, 272Princeton University, 273Univ. of Rochester, 274Kansas State University, 275College of William and Mary, 276South Dakota State University, 277Univ. of Texas, 278Univ. of South Dakota, 279Univ. of Pavia, INFN Sezione di Pavia, 280Univ. of Padova, 281Univ. of California, 282Univ. of Alabama, 283Indiana University, 284Louisiana State University, 285Univ. of Hawaii, 286Univ. of Minnesota, 287Los Alamos National Laboratory, 288Univ. of South Carolina, 289Fermi National Accelerator Lab, 290Univ. of Pavia, INFN Sezione di Pavia, 291Fermi National Accelerator Lab, 292Fermi National Accelerator Lab, 293Fermi National Accelerator Lab, 294Univ. of Warwick, 295Brookhaven National Lab, 296Massachusetts Institute of Technology, 297ABC Federal University, 298Indiana University, 299SLAC National Acceleratory Laboratory, 300Indiana University, 301Univ. of Pittsburgh, 302Rensselaer Polytechnic Inst, 303Univ. of Pennsylvania, 304University College London, 305STFC Rutherford Appleton Laboratory, 306Indiana University, 307Fermi National Accelerator Lab, 308Lancaster University, 309Lancaster University, 310Univ. de Campinas, 311Tufts University, 312Michigan State University, 313Univ. of Hawaii, 314Yale University, 315Argonne National Lab, 316Univ. of Pittsburgh, 317Fermi National Accelerator Lab, 318Univ. of Texas, 319Brookhaven National Lab, 320Yale University, 321Univ. of Wisconsin, 322Los Alamos National Laboratory, 323Univ. of Sussex, 324University College London, 325Univ. of Sheffield, 326Univ. of South Carolina, 327South Dakota School of Mines and Technology, 328Univ. of Padova, 329Fermi National Accelerator Lab, 330Fermi National Accelerator Lab, 331Fermi National Accelerator Lab, 332Brookhaven National Lab, 333Univ. di Catania, 334Massachusetts Institute of Technology, 335Fermi National Accelerator Lab, 336Brookhaven National Lab, 337Fermi National Accelerator Lab, 338Brookhaven National Lab, 339Fermi National Accelerator Lab, 340Univ. of Warwick, 341Fermi National Accelerator Lab, 342Los Alamos National Laboratory, 343Univ. of Pavia, INFN Sezione di Pavia, 344Univ. of Pavia, INFN Sezione di Pavia, 345Lancaster University, 346Univ. of Texas, 347Fermi National Accelerator Lab, 348Univ. of Alabama, 349Fermi National Accelerator Lab, 350Brookhaven National Lab, 351Univ. of Sheffield, 352Los Alamos National Laboratory, 353Fermi National Accelerator Lab, 354Univ. of Sheffield, 355SLAC National Acceleratory Laboratory, 356Los Alamos National Laboratory, 357Univ. of Hawaii, 358Univ. of Pavia, INFN Sezione di Pavia, 359INFN, Laboratori Nazionali del Gran Sasso, 360Fermi National Accelerator Lab, 361Panjab University, 362Argonne National Lab, 363Univ. di Milano, 364Univ. of Pavia, INFN Sezione di Pavia, 365Brookhaven National Lab, 366Iowa State University, 367Univ. di Milano, 368Northwestern University, 369Fermi National Accelerator Lab, 370Univ. of Chicago, 371Tufts University, 372Duke University, 373Laboratori Nazionali del Gran Sasso, 374Univ. of Pennsylvania, 375Fermi National Accelerator Lab, 376Columbia University, 377Fermi National Accelerator Lab, 378Brookhaven National Lab, 379Fermi National Accelerator Lab, 380Brookhaven National Lab, 381Banaras Hindu University, 382Los Alamos National Laboratory, 383Columbia University, 384Syracuse University, 385Univ. of California, 386Univ. of California, 387Syracuse University, 388Brookhaven National Lab, 389Los Alamos National Laboratory, 390Univ. of Cincinnati, 391Univ. of Sheffield, 392Fermi National Accelerator Lab, 393Univ. of Alabama, 394Laboratori Nazionali del Gran Sasso, 395Fermi National Accelerator Lab, 396Brookhaven National Lab, 397Syracuse University, 398Fermi National Accelerator Lab, 399Univ. of Chicago, 400Fermi National Accelerator Lab, 401Univ. of Maryland, 402Univ. of Hawaii, 403Argonne National Lab, 404Univ. of South Carolina, 405Univ. of California, 406Dakota State University, 407Yale University, 408Univ. of California, 409Univ. of Manchester, 410Argonne National Lab, 411Univ. of Sussex, 412Fermi National Accelerator Lab, 413Indiana University, 414Los Alamos National Laboratory, 415South Dakota Science and Technology Authority, 416Univ. of California, 417Brookhaven National Lab, 418Univ. of Sheffield, 419University College London, 420Univ. of Sheffield, 421Univ. of Cambridge, 422Brookhaven National Lab, 423STFC Rutherford Appleton Laboratory, 424Univ. of South Carolina, 425South Dakota School of Mines and Technology, 426Colorado State University, 427Univ. of Washington, 428Univ. of Pavia, INFN Sezione di Pavia, 429Massachusetts Institute of Technology, 430Univ. of Liverpool, 431Univ. of California, 432Fermi National Accelerator Lab, 433SLAC National Acceleratory Laboratory, 434Lawrence Berkeley National Lab, 435Louisiana State University, 436Indiana University, 437National Geospatial-Intelligence Agency, 438Kavli IPMU, Univ. of Tokyo, 439Univ. Federal de Alfenas em Poços de Caldas, 440Univ. of Pennsylvania, 441Los Alamos National Laboratory, 442Argonne National Lab, 443Univ. of Padova, 444Univ. of Hawaii, 445Fermi National Accelerator Lab, 446Fermi National Accelerator Lab, 447Univ. of Padova, 448Laboratori Nazionali del Gran Sasso, 449Brookhaven National Lab, 450Univ. of Wisconsin, 451Univ. of Sussex, 452Duke University, 453Univ. of California, 454College of William and Mary, 455Univ. of Sheffield, 456Colorado State University, 457Colorado State University, 458Univ. of Texas, 459Univ. of Oxford, 460Univ. of South Dakota, 461South Dakota School of Mines and Technology, 462Univ. of Chicago, 463Univ. of Texas, 464Los Alamos National Laboratory, 465Univ. of Houston, 466Indiana University, 467South Dakota Science and Technology Authority, 468Colorado State University, 469Univ. of California, 470Univ. of South Carolina, 471Brookhaven National Lab, 472Brookhaven National Lab, 473Iowa State University, 474Los Alamos National Laboratory, 475Southern Methodist University, 476Brookhaven National Lab, 477Brookhaven National Lab, 478Univ. of Texas, 479Univ. of Colorado, 480Univ. of Pavia, INFN Sezione di Pavia, 481Fermi National Accelerator Lab, 482Brookhaven National Lab, 483Brookhaven National Lab, 484Univ. of Colorado, 485Fermi National Accelerator Lab

The preponderance of matter over antimatter in the early Universe, the dynamics of the supernova bursts that produced the heavy elements necessary for life and whether protons eventually decay --- these mysteries at the forefront of particle physics and astrophysics are key to understanding the early evolution of our Universe, its current state and its eventual fate. The Long-Baseline Neutrino Experiment (LBNE) represents an extensively developed plan for a world-class experiment dedicated to addressing these questions. LBNE is conceived around three central components: (1) a new, high-intensity neutrino source generated from a megawatt-class proton accelerator at Fermi National Accelerator Laboratory, (2) a near neutrino detector just downstream of the source, and (3) a massive liquid argon time-projection chamber deployed as a far detector deep underground at the Sanford Underground Research Facility. Read More

A practical $2^m$-ary polar coded modulation (PCM) scheme with optimal constellation labeling is proposed. To efficiently find the optimal labeling rule, the search space is reduced by exploiting the symmetry properties of the channels. Simulation results show that the proposed PCM scheme can outperform the bit-interleaved turbo coded modulation scheme used in the WCDMA (Wideband Code Division Multiple Access) mobile communication systems by up to 1. Read More

A hybrid automatic repeat request (HARQ) scheme based on a novel class of rate-compatible polar (\mbox{RCP}) codes are proposed. The RCP codes are constructed by performing punctures and repetitions on the conventional polar codes. Simulation results over binary-input additive white Gaussian noise channels (BAWGNCs) show that, using a low-complexity successive cancellation (SC) decoder, the proposed HARQ scheme performs as well as the existing schemes based on turbo codes and low-density parity-check (LDPC) codes. Read More

The newly discovered "Higgs" boson h^0, being lighter than the top quark t, opens up new probes for flavor and mass generation. In the general two Higgs doublet model, new ct, cc and tt Yukawa couplings could modify h^0 properties. If t --> ch^0 occurs at the percent level, the observed ZZ^* and \gamma\gamma signal events may have accompanying cbW activity coming from t\bar{t} feeddown. Read More

We propose two novel model architectures for computing continuous vector representations of words from very large data sets. The quality of these representations is measured in a word similarity task, and the results are compared to the previously best performing techniques based on different types of neural networks. We observe large improvements in accuracy at much lower computational cost, i. Read More

A real-time Quantum Key Distribution System is developed in this paper. In the system, based on the feature of Field Programmable Gate Array (FPGA), secure key extraction control and algorithm have been optimally designed to perform sifting, error correction and privacy amplification altogether in real-time. In the QKD experiment information synchronization mechanism and high-speed classic data channel are designed to ensure the steady operation of the system. Read More

Quantum key distribution (QKD), provides the only intrinsically unconditional secure method for communication based on principle of quantum mechanics. Compared with fiber-based demonstrations-, free-space links could provide the most appealing solution for much larger distance. Despite of significant efforts, so far all realizations rely on stationary sites. Read More

As improved versions of successive cancellation (SC) decoding algorithm, successive cancellation list (SCL) decoding and successive cancellation stack (SCS) decoding are used to improve the finite-length performance of polar codes. Unified descriptions of SC, SCL and SCS decoding algorithms are given as path searching procedures on the code tree of polar codes. Combining the ideas of SCL and SCS, a new decoding algorithm named successive cancellation hybrid (SCH) is proposed, which can achieve a better trade-off between computational complexity and space complexity. Read More