C. -F. Lim - The Belle Collaboration

C. -F. Lim
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C. -F. Lim
The Belle Collaboration
United States

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Pub Categories

Quantum Physics (16)
Physics - Physics and Society (8)
High Energy Physics - Phenomenology (7)
Physics - Mesoscopic Systems and Quantum Hall Effect (3)
Physics - Biological Physics (3)
Physics - Materials Science (3)
Mathematics - Information Theory (3)
High Energy Physics - Theory (3)
Computer Science - Information Theory (3)
Cosmology and Nongalactic Astrophysics (2)
Computer Science - Artificial Intelligence (2)
Computer Science - Computer Vision and Pattern Recognition (2)
Physics - Soft Condensed Matter (2)
Statistics - Applications (2)
Mathematics - Optimization and Control (1)
Physics - Statistical Mechanics (1)
High Energy Physics - Experiment (1)
Astrophysics of Galaxies (1)
Mathematics - Dynamical Systems (1)
Mathematics - Probability (1)
Computer Science - Information Retrieval (1)
Quantitative Biology - Cell Behavior (1)
Physics - Fluid Dynamics (1)
Computer Science - Cryptography and Security (1)
Quantitative Biology - Genomics (1)
Quantitative Biology - Quantitative Methods (1)
Physics - Chemical Physics (1)

Publications Authored By C. -F. Lim

In this paper, we study band-to-band and intersubband characteristics of GaN/AlN heterostructures (planar and nanowires) structurally designed to absorb in the short-wavelength infrared region, particularly at 1.55 microns. We compare the effect of doping the GaN sections with Si and Ge, and we discuss the variation of free-carrier screening with the doping density and well/nanodisk size. Read More

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

The advent of rapid and inexpensive DNA sequencing has led to an explosion of data waiting to be transformed into knowledge about genome organization and function. Gene prediction is customarily the starting point for genome analysis. This paper presents a bioinformatics study of the oil palm genome, including comparative genomics analysis, database and tools development, and mining of biological data for genes of interest. Read More

Quantum key distribution (QKD) is a quantum-proof key exchange scheme which is fast approaching the communication industry. An essential component in QKD is the information reconciliation step, which is used for correcting the quantum channel noise errors. The recently suggested blind reconciliation technique, based on low-density parity-check (LDPC) codes, offers remarkable prospectives for efficient information reconciliation without an a priori error rate estimation. Read More

Several quantum key distribution (QKD) protocols employ iterative sifting. After each quantum transmission round, Alice and Bob disclose part of their setting information (including their basis choices) for the detected signals. The quantum phase of the protocol then ends when the numbers of detected signals per basis exceed certain pre-agreed threshold values. Read More

Quantum position verification (QPV) is the art of verifying the geographical location of an untrusted party. Recently, it has been shown that the widely studied Bennett & Brassard 1984 (BB84) QPV protocol is insecure after the 3 dB loss point assuming local operations and classical communication (LOCC) adversaries. Here, we propose a time-reversed entanglement swapping QPV protocol (based on measurement-device-independent quantum cryptography) that is highly robust against quantum channel loss. Read More

One of the most pressing issues in quantum key distribution (QKD) is the problem of detector side- channel attacks. To overcome this problem, researchers proposed an elegant "time-reversal" QKD protocol called measurement-device-independent QKD (MDI-QKD), which is based on time-reversed entanglement swapping. However, MDI-QKD is more challenging to implement than standard point- to-point QKD. Read More

In the scenario of gauge-Higgs unification, the origin of the Higgs boson is higher dimensional gauge boson. Reflecting its origin, very characteristic predictions are made of the Higgs boson interactions in this scenario. Especially, a remarkable claim has been made: the contribution of non-zero Kaluza-Klein modes to the Higgs decay $H \to Z \gamma$ exactly vanishes in the minimal SU(3) electro-weak unified model, at least at the one-loop level. Read More

We present a study of germanium as n-type dopant in wurtzite GaN films grown by plasma-assisted molecular beam epitaxy, reaching carrier concentrations of up to 6.7E20 cm-3 at 300K, well beyond the Mott density. The Ge concentration and free carrier density were found to scale linearly with the Ge flux in the studied range. Read More

Multi-Coset (MC) sampling is a well established, practically feasible scheme for sampling multiband analog signals below the Nyquist rate. MC sampling has gained renewed interest in the Compressive Sensing (CS) community, due partly to the fact that in the frequency domain, MC sampling bears a strong resemblance to other sub-Nyquist CS acquisition protocols. In this paper, we consider MC sampling of analog frequency hopping signals, which can be viewed as multiband signals with changing band positions. Read More

In climate change study, the infrared spectral signatures of climate change have recently been conceptually adopted, and widely applied to identifying and attributing atmospheric composition change. We propose a Bayesian hierarchical model for spatial clustering of the high-dimensional functional data based on the effects of functional covariates and local features. We couple the functional mixed-effects model with a generalized spatial partitioning method for: (1) producing spatially contiguous clusters for the high-dimensional spatio-functional data; (2) improving the computational efficiency via parallel computing over subregions or multi-level partitions; and (3) capturing the near-boundary ambiguity and uncertainty for data-driven partitions. Read More

We combine traction force data with Bayesian inversion to obtain an absolute estimate of the internal stress field of a cell monolayer. The method, Bayesian inversion stress microscopy (BISM), is validated using numerical simulations performed in a wide range of conditions. It is robust to changes in each ingredient of the underlying statistical model. Read More

The naming game has become an archetype for linguistic evolution and mathematical social behavioral analysis. In the model presented here, there are $N$ individuals and $K$ words. Our contribution is developing a robust method that handles the case when $K = O(N)$. Read More

Quantum nonlocality is a counterintuitive phenomenon that lies beyond the purview of causal influences. Recently, Bell inequalities have been generalized to the case of quantum inputs, leading to a powerful family of semi-quantum Bell inequalities that are capable of detecting any entangled state. Here, we focus on a different problem and investigate how the local-indistinguishability of quantum inputs and postselection may affect the requirements to detect semi-quantum nonlocality. Read More

We propose a free-space reconfigurable quantum key distribution (QKD) network to secure communication among mobile users. Depends on the trustworthiness of the network relay, the users can implement either the highly secure measurement-device-independent QKD, or the highly efficient decoy state BB84 QKD. Based on the same quantum infrastructure, we also propose a loss tolerant quantum position verification scheme, which could allow the QKD users to initiate the QKD process without relying on pre-shared key. Read More

Imperfections in experimental measurement schemes can lead to falsely identifying, or over estimating, entanglement in a quantum system. A recent solution to this is to define schemes that are robust to measurement imperfections - measurement device independent entanglement witness (MDI-EW). Here we introduce a novel approach for MDI-EW, which significantly reduces the experimental complexity and is applicable to a wide range of physical systems. Read More

In the gauge-Higgs unification with multiple extra spaces, the Higgs self-coupling is of the order of $g^2$ and Higgs is predicted to be light, being consistent with the LHC results. When the gauge group is simple, the weak mixing angle is also predictable. We address a question whether there exists a model of gauge-Higgs unification in 6-dimensional space-time, which successfully predicts the mass ratios of the Higgs boson and weak gauge bosons. Read More

We introduce the notion of cell division-induced activity and show that the cell division generates extensile forces and drives dynamical patterns in cell assemblies. Extending the hydrodynamic models of lyotropic active nematics we describe turbulent-like velocity fields that are generated by the cell division in a confluent monolayer of cells. We show that the experimentally measured flow field of dividing Madin-Darby Canine Kidney (MDCK) cells is reproduced by our modeling approach. Read More

We consider the voter model with $M$ states initially in the system. Using generating functions, we pose the spectral problem for the Markov transition matrix and solve for all eigenvalues and eigenvectors exactly. With this solution, we can find all future probability probability distributions, the expected time for the system to condense from $M$ states to $M-1$ states, the moments of consensus time, the expected local times, and the expected number of states over time. Read More

This paper assesses intersubband transitions in the 1 to 10 THz frequency range in nonpolar m-plane GaN/AlGaN multi-quantum-wells deposited on free-standing semi-insulating GaN substrates. The quantum wells were designed to contain two confined electronic levels, decoupled from the neighboring wells. Structural analysis reveals flat and regular quantum wells in the two perpendicular inplane directions, with high-resolution images showing inhomogeneities of the Al composition in the barriers along the growth axis. Read More

In recent years, the gap between theory and practice in quantum key distribution (QKD) has been significantly narrowed, particularly for QKD systems with arbitrarily awed optical receivers. The status for QKD systems with imperfect light sources is however less satisfactory, in the sense that the resulting secure key rates are often overly-dependent on the quality of state preparation. This is especially the case when the channel loss is high. Read More

Security proofs of quantum key distribution (QKD) systems usually assume that the users have access to source of perfect randomness. State-of-the-art QKD systems run at frequencies in the GHz range, requiring a sustained GHz rate of generation and acquisition of quantum random numbers. In this paper we demonstrate such a high speed random number generator. Read More

This paper assesses nonpolar m- and a-plane GaN/Al(Ga)N multi-quantum-wells grown on bulk GaN for intersubband optoelectronics in the short- and mid-wavelength infrared ranges. The characterization results are compared to those for reference samples grown on the polar c-plane, and are verified by self-consistent Schr\"odinger-Poisson calculations. The best results in terms of mosaicity, surface roughness, photoluminescence linewidth and intensity, as well as intersubband absorption are obtained from m-plane structures, which display room-temperature intersubband absorption in the range from 1. Read More

Using generating function methods for diagonalizing the transition matrix in 2-Urn models, we provide a complete classification into solvable and unsolvable subclasses, with further division of the solvable models into the Martingale and non-Martingale subcategories, and prove that the stationary distribution is a Gaussian function in the latter. We also give a natural condition related to the symmetry of the random walk in which the non-Martingale Urn models lead to an increase in entropy from Gaussian states. The condition also shows that universal symmetry in the macro-state is equivalent to increasing entropy. Read More

The functions and elasticities of the cell are largely related to the structures of the cytoskeletons underlying the lipid bi-layer. Among various cell types, the Red Blood Cell (RBC) possesses a relatively simple cytoskeletal structure. Underneath the membrane, the RBC cytoskeleton takes the form of a two dimensional triangular network, consisting of nodes of actins (and other proteins) and edges of spectrins. Read More

Relevance and importance are the main factors when humans build network connections. We propose an evolutionary network model based on preferential attachment(PA) considering these factors. We analyze and compute several important features of the network class generated by this algorithm including scale free degree distribution, high clustering coefficient, small world property and core-periphery structure. Read More

GaN/AlN nanowire heterostructures can display photoluminescence (PL) decay times on the order of microseconds that persist up to room temperature. Doping the GaN nanodisk insertions with Ge can reduce these PL decay times by two orders of magnitude. These phenomena are explained by the three-dimensional electric field distribution within the GaN nanodisks, which has an axial component in the range of a few MV/cm associated to the spontaneous and piezoelectric polarization, and a radial piezoelectric contribution associated to the shear components of the lattice strain. Read More

Human Motion Analysis (HMA) is currently one of the most popularly active research domains as such significant research interests are motivated by a number of real world applications such as video surveillance, sports analysis, healthcare monitoring and so on. However, most of these real world applications face high levels of uncertainties that can affect the operations of such applications. Hence, the fuzzy set theory has been applied and showed great success in the recent past. Read More

Fingerprint individuality refers to the extent of uniqueness of fingerprints and is the main criteria for deciding between a match versus nonmatch in forensic testimony. Often, prints are subject to varying levels of noise, for example, the image quality may be low when a print is lifted from a crime scene. A poor image quality causes human experts as well as automatic systems to make more errors in feature detection by either missing true features or detecting spurious ones. Read More

To analyze the nuances of the root concept of neutral in social networks, we focus on several related interpretations and suggest corresponding mathematical models for each of them from the family of information-sharing multi-agents network games known as Voter models and the Naming Games (NG). We solve the case of the strong neutrals known as the middle-roaders for global quantities such as expected times to consensus and local times. By using generating functions and treating the two extreme and middle opinions in this modification as a two balls, three urns version of the Voter model, we give closed-form expressions for the eigenvalues and eigenvectors of its Markov propagator. Read More

The application of nonlinear transformations to a cyclostationary signal for the purpose of revealing hidden periodicities has proven to be useful for applications requiring signal selectivity and noise tolerance. The fact that the hidden periodicities, referred to as cyclic moments, are often compressible in the Fourier domain motivates the use of compressive sensing (CS) as an efficient acquisition protocol for capturing such signals. In this work, we consider the class of Temporal Higher Order Cyclostationary Statistics (THOCS) estimators when CS is used to acquire the cyclostationary signal assuming compressible cyclic moments in the Fourier domain. Read More

Ambiguity or uncertainty is a pervasive element of many real world decision making processes. Variation in decisions is a norm in this situation when the same problem is posed to different subjects. Psychological and metaphysical research had proven that decision making by human is subjective. Read More

The generation of random numbers is a task of paramount importance in modern science. A central problem for both classical and quantum randomness generation is to estimate the entropy of the data generated by a given device. Here we present a protocol for self-testing quantum random number generation, in which the user can monitor the entropy in real-time. Read More

Recently, a quantum key distribution (QKD) scheme based on entanglement swapping, called measurement-device-independent QKD (mdiQKD), was proposed to bypass all detector side-channel attacks. While mdiQKD is conceptually elegant and offers a supreme level of security, the experimental complexity is challenging for practical systems. For instance, it requires interference between two widely separated independent single-photon sources, and the rates are dependent on detecting two photons - one from each source. Read More

What is the most efficient way to generate random numbers device-independently using a photon pair source based on spontaneous parametric down conversion (SPDC)? We consider this question by comparing two implementations of a detection-loophole-free Bell test. In particular, we study in detail a scenario where a heralded single photon source (HSPS) is used to herald path-entangled states, i.e. Read More

Agent-based models of the binary naming game are generalized here to represent a family of models parameterized by the introduction of two continuous parameters. These parameters define varying listener-speaker interactions on the individual level with one parameter controlling the speaker and the other controlling the listener of each interaction. The major finding presented here is that the generalized naming game preserves the existence of critical thresholds for the size of committed minorities. Read More

In the recent decade, it has been discovered that QKD systems are extremely vulnerable to side-channel attacks. In particular, by exploiting the internal working knowledge of practical detectors, it is possible to bring them to an operating region whereby only certain target detectors are sensitive to detections. Crucially, the adversary can use this loophole to learn everything about the secret key without introducing any error to the quantum channel. Read More

We use quantum chemical calculations to elucidate a viable homogeneous mechanism for pyridine-catalyzed reduction of CO2 to methanol. In the first component of the catalytic cycle, pyridine (Py) undergoes a H+ transfer (PT) to form pyridinium (PyH+) followed by an e- transfer (ET) to produce pyridinium radical (PyH0). Examples of systems to effect this ET to populate the LUMO of PyH+(E0calc ~ -1. Read More

An exact spectral analysis of the Markov Propagator for the Voter model is presented for the complete graph, and extended to the complete bipartite graph and uncorrelated random networks. Using a well-defined Martingale approximation in diffusion-dominated regions of phase space, which is almost everywhere for the Voter model, this method is applied to compute analytically several key quantities such as exact expressions for the $m$ time step propagator of the Voter model, all moments of consensus times, and the local times for each macrostate. This spectral method is motivated by a related method for solving the Ehrenfest Urn problem and by formulating the Voter model on the complete graph as an Urn model. Read More

Proposed in 1984, quantum key distribution (QKD) allows two users to exchange provably secure keys via a potentially insecure quantum channel. Since then, QKD has attracted much attention and significant progress has been made in both theory and practice. On the application front, however, the operating distance of practical fibre-based QKD systems is limited to about 150 km, which is mainly due to the high background noise produced by commonly used semiconductor single-photon detectors (SPDs) and the stringent demand on the minimum classical- post-processing (CPP) block size. Read More

The Birkhoff polytope (the convex hull of the set of permutation matrices) is frequently invoked in formulating relaxations of optimization problems over permutations. The Birkhoff polytope is represented using $\Theta(n^2)$ variables and constraints, significantly more than the $n$ variables one could use to represent a permutation as a vector. Using a recent construction of Goemans (2010), we show that when optimizing over the convex hull of the permutation vectors (the permutahedron), we can reduce the number of variables and constraints to $\Theta(n \log n)$ in theory and $\Theta(n \log^2 n)$ in practice. Read More

Authors: A. J. Bevan, B. Golob, Th. Mannel, S. Prell, B. D. Yabsley, K. Abe, H. Aihara, F. Anulli, N. Arnaud, T. Aushev, M. Beneke, J. Beringer, F. Bianchi, I. I. Bigi, M. Bona, N. Brambilla, J. B rodzicka, P. Chang, M. J. Charles, C. H. Cheng, H. -Y. Cheng, R. Chistov, P. Colangelo, J. P. Coleman, A. Drutskoy, V. P. Druzhinin, S. Eidelman, G. Eigen, A. M. Eisner, R. Faccini, K. T . Flood, P. Gambino, A. Gaz, W. Gradl, H. Hayashii, T. Higuchi, W. D. Hulsbergen, T. Hurth, T. Iijima, R. Itoh, P. D. Jackson, R. Kass, Yu. G. Kolomensky, E. Kou, P. Križan, A. Kronfeld, S. Kumano, Y. J. Kwon, T. E. Latham, D. W. G. S. Leith, V. Lüth, F. Martinez-Vidal, B. T. Meadows, R. Mussa, M. Nakao, S. Nishida, J. Ocariz, S. L. Olsen, P. Pakhlov, G. Pakhlova, A. Palano, A. Pich, S. Playfer, A. Poluektov, F. C. Porter, S. H. Robertson, J. M. Roney, A. Roodman, Y. Sakai, C. Schwanda, A. J. Schwartz, R. Seidl, S. J. Sekula, M. Steinhauser, K. Sumisawa, E. S. Swanson, F. Tackmann, K. Trabelsi, S. Uehara, S. Uno, R. van der Water, G. Vasseur, W. Verkerke, R. Waldi, M. Z. Wang, F. F. Wilson, J. Zupan, A. Zupanc, I. Adachi, J. Albert, Sw. Banerjee, M. Bellis, E. Ben-Haim, P. Biassoni, R. N. Cahn, C. Cartaro, J. Chauveau, C. Chen, C. C. Chiang, R. Cowan, J. Dalseno, M. Davier, C. Davies, J. C. Dingfelder, B. Eche nard, D. Epifanov, B. G. Fulsom, A. M. Gabareen, J. W. Gary, R. Godang, M. T. Graham, A. Hafner, B. Hamilton, T. Hartmann, K. Hayasaka, C. Hearty, Y. Iwasaki, A. Khodjamirian, A. Kusaka, A. Kuzmin, G. D. Lafferty, A. Lazzaro, J. Li, D. Lindemann, O. Long, A. Lusiani, G. Marchiori, M. Martinelli, K. Miyabayashi, R. Mizuk, G. B. Mohanty, D. R. Muller, H. Nakazawa, P. Ongmongkolkul, S. Pacetti, F. Palombo, T. K. Pedlar, L. E. Piilonen, A. Pilloni, V. Poireau, K. Prothmann, T. Pulliam, M. Rama, B. N. Ratcliff, P. Roudeau, S. Schrenk, T. Schroeder, K. R. Schubert, C. P. Shen, B. Shwartz, A. Soffer, E. P. Solodov, A. Somov, M. Starič, S. Stracka, A. V. Telnov, K. Yu. Todyshev, T. Tsuboyama, T. Uglov, A. Vinokurova, J. J. Walsh, Y. Watanabe, E. Won, G. Wormser, D. H. Wright, S. Ye, C. C. Zhang, S. Abachi, A. Abashian, K. Abe, K. Abe, N. Abe, R. Abe, T. Abe, T. Abe, G. S. Abrams, I. Adam, K. Adamczyk, A. Adametz, T. Adye, A. Agarwal, H. Ahmed, M. Ahmed, S. Ahmed, B. S. Ahn, H. S. Ahn, I. J. R. Aitchison, K. Akai, S. Akar, M. Akatsu, M. Akemoto, R. Akhmetshin, R. Akre, M. S. Alam, J. N. Albert, R. Aleksan, J. P. Alexander, G. Alimonti, M. T. Allen, J. Allison, T. Allmendinger, J. R. G. Alsmiller, D. Altenburg, K. E. Alwyn, Q. An, J. Anderson, R. Andreassen, D. Andreotti, M. Andreotti, J. C. Andress, C. Angelini, D. Anipko, A. Anjomshoaa, P. L. Anthony, E. A. Antillon, E. Antonioli, K. Aoki, J. F. Arguin, K. Arinstein, K. Arisaka, K. Asai, M. Asai, Y. Asano, D. J. Asgeirsson, D. M. Asner, T. Aso, M. L. Aspinwall, D. Aston, H. Atmacan, B. Aubert, V. Aulchenko, R. Ayad, T. Azemoon, T. Aziz, V. Azzolini, D. E. Azzopardi, M. A. Baak, J. J. Back, S. Bagnasco, S. Bahinipati, D. S. Bailey, S. Bailey, P. Bailly, N. van Bakel, A. M. Bakich, A. Bala, V. Balagura, R. Baldini-Ferroli, Y. Ban, E. Banas, H. R. Band, S. Banerjee, E. Baracchini, R. Barate, E. Barberio, M. Barbero, D. J. Bard, T. Barillari, N. R. Barlow, R. J. Barlow, M. Barrett, W. Bartel, J. Bartelt, R. Bartoldus, G. Batignani, M. Battaglia, J. M. Bauer, A. Bay, M. Beaulieu, P. Bechtle, T. W. Beck, J. Becker, J. Becla, I. Bedny, S. Behari, P. K. Behera, E. Behn, L. Behr, C. Beigbeder, D. Beiline, R. Bell, F. Bellini, G. Bellodi, K. Belous, M. Benayoun, G. Benelli, J. F. Benitez, M. Benkebil, N. Berger, J. Bernabeu, D. Bernard, R. Bernet, F. U. Bernlochner, J. W. Berryhill, K. Bertsche, P. Besson, D. S. Best, S. Bettarini, D. Bettoni, V. Bhardwaj, W. Bhimji, B. Bhuyan, B. Bhuyan, M. E. Biagini, M. Biasini, K. van Bibber, J. Biesiada, I. Bingham, R. M. Bionta, M. Bischofberger, U. Bitenc, I. Bizjak, F. Blanc, G. Blaylock, V. E. Blinov, E. Bloom, P. C. Bloom, N. L. Blount, J. Blouw, M. Bly, S. Blyth, C. T. Boeheim, M. Bomben, A. Bondar, M. Bondioli, G. R. Bonneaud, G. Bonvicini, M. Booke, J. Booth, C. Borean, A. W. Borgland, E. Borsato, F. Bosi, L. Bosisio, A. A. Botov, J. Bougher, K. Bouldin, P. Bourgeois, D. Boutigny, D. A. Bowerman, A. M. Boyarski, R. F. Boyce, J. T. Boyd, A. Bozek, C. Bozzi, M. Bračko, G. Brandenburg, T. Brandt, B. Brau, J. Brau, A. B. Breon, D. Breton, C. Brew, H. Briand, P. G. Bright-Thomas, V. Brigljević, D. I. Britton, F. Brochard, B. Broomer, J. Brose, T. E. Browder, C. L. Brown, C. M. Brown, D. N. Brown, D. N. Brown, M. Browne, M. Bruinsma, S. Brunet, F. Bucci, C. Buchanan, O. L. Buchmueller, C. Bünger, W. Bugg, A. D. Bukin, R. Bula, H. Bulten, P. R. Burchat, W. Burgess, J. P. Burke, J. Button-Shafer, A. R. Buzykaev, A. Buzzo, Y. Cai, R. Calabrese, A. Calcaterra, G. Calderini, B. Camanzi, E. Campagna, C. Campagnari, R. Capra, V. Carassiti, M. Carpinelli, M. Carroll, G. Casarosa, B. C. K. Casey, N. M. Cason, G. Castelli, N. Cavallo, G. Cavoto, A. Cecchi, R. Cenci, G. Cerizza, A. Cervelli, A. Ceseracciu, X. Chai, K. S. Chaisanguanthum, M. C. Chang, Y. H. Chang, Y. W. Chang, D. S. Chao, M. Chao, Y. Chao, E. Charles, C. A. Chavez, R. Cheaib, V. Chekelian, A. Chen, A. Chen, E. Chen, G. P. Chen, H. F. Chen, J. -H. Chen, J. C. Chen, K. F. Chen, P. Chen, S. Chen, W. T. Chen, X. Chen, X. R. Chen, Y. Q. Chen, B. Cheng, B. G. Cheon, N. Chevalier, Y. M. Chia, S. Chidzik, K. Chilikin, M. V. Chistiakova, R. Cizeron, I. S. Cho, K. Cho, V. Chobanova, H. H. F. Choi, K. S. Choi, S. K. Choi, Y. Choi, Y. K. Choi, S. Christ, P. H. Chu, S. Chun, A. Chuvikov, G. Cibinetto, D. Cinabro, A. R. Clark, P. J. Clark, C. K. Clarke, R. Claus, B. Claxton, Z. C. Clifton, J. Cochran, J. Cohen-Tanugi, H. Cohn, T. Colberg, S. Cole, F. Colecchia, C. Condurache, R. Contri, P. Convert, M. R. Convery, P. Cooke, N. Copty, C. M. Cormack, F. Dal Corso, L. A. Corwin, F. Cossutti, D. Cote, A. Cotta Ramusino, W. N. Cottingham, F. Couderc, D. P. Coupal, R. Covarelli, G. Cowan, W. W. Craddock, G. Crane, H. B. Crawley, L. Cremaldi, A. Crescente, M. Cristinziani, J. Crnkovic, G. Crosetti, T. Cuhadar-Donszelmann, A. Cunha, S. Curry, A. D'Orazio, S. Dû, G. Dahlinger, B. Dahmes, C. Dallapiccola, N. Danielson, M. Danilov, A. Das, M. Dash, S. Dasu, M. Datta, F. Daudo, P. D. Dauncey, P. David, C. L. Davis, C. T. Day, F. De Mori, G. De Domenico, N. De Groot, C. De la Vaissière, Ch. de la Vaissière, A. de Lesquen, G. De Nardo, R. de Sangro, A. De Silva, S. DeBarger, F. J. Decker, P. del Amo Sanchez, L. Del Buono, V. Del Gamba, D. del Re, G. Della Ricca, A. G. Denig, D. Derkach, I. M. Derrington, H. DeStaebler, J. Destree, S. Devmal, B. Dey, B. Di Girolamo, E. Di Marco, M. Dickopp, M. O. Dima, S. Dittrich, S. Dittongo, P. Dixon, L. Dneprovsky, F. Dohou, Y. Doi, Z. Doležal, D. A. Doll, M. Donald, L. Dong, L. Y. Dong, J. Dorfan, A. Dorigo, M. P. Dorsten, R. Dowd, J. Dowdell, Z. Drásal, J. Dragic, B. W. Drummond, R. S. Dubitzky, G. P. 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Zheng, Z. P. Zheng, V. Zhilich, P. Zhou, R. Y. Zhu, Y. S. Zhu, Z. M. Zhu, V. Zhulanov, T. Ziegler, V. Ziegler, G. Zioulas, M. Zisman, M. Zito, D. Zürcher, N. Zwahlen, O. Zyukova, T. Živko, D. Žontar

This work is on the Physics of the B Factories. Part A of this book contains a brief description of the SLAC and KEK B Factories as well as their detectors, BaBar and Belle, and data taking related issues. Part B discusses tools and methods used by the experiments in order to obtain results. Read More

Recent LHC experiments have revealed that Higgs is light. As an interesting candidate to accommodate light Higgs, in this paper we adopt the scenario of dimensional deconstruction, where Higgs is redarded as a pseudo-Nambu-Goldstone boson. Though the scenario is formulated in ordinary 4-dimensional space-time, it may also be interpreted as "latticized" gauge-Higgs unification. Read More

Motivated by very recent experiments, we consider a scenario "\`a la Bell" in which two protagonists test the Clauser-Horne-Shimony-Holt (CHSH) inequality using a photon-pair source based on spontaneous parametric down conversion and imperfect photon detectors. The conventional wisdom says that (i) if the detectors have unit efficiency, the CHSH violation can reach its maximum quantum value $2\sqrt{2}$. To obtain the maximal possible violation, it suffices that the source emits (ii) maximally entangled photon pairs (iii) in two well defined single modes. Read More

In this paper, we carefully calculated the tensor-to-scalar ratio, the running spectral index, and the running of running spectrum for (extra) natural inflation in order to compare with recent BICEP2 data, PLANCK satellite data and future 21 cm data. We discovered that the prediction for running spectral index and the running of running spectrum in natural inflation is different from that in the case of extra natural inflation. Near future observation for the running spectral index may achieve enough accuracy to allow us distinguishing between extra natural inflation from natural inflation. Read More

Sample-average approximations (SAA) are a practical means of finding approximate solutions of stochastic programming problems involving an extremely large (or infinite) number of scenarios. SAA can also be used to find estimates of a lower bound on the optimal objective value of the true problem which, when coupled with an upper bound, provides confidence intervals for the true optimal objective value and valuable information about the quality of the approximate solutions. Specifically, the lower bound can be estimated by solving multiple SAA problems (each obtained using a particular sampling method) and averaging the obtained objective values. Read More

We address a question whether the recently observed Higgs mass $M_{H} = 126$ GeV, of the order of the weak scale $M_{W}$, is calculable as a finite value in the scnenario of gauge-Higgs unification. In the scenario formulated on a flat 5-dimensional space-time, the Higgs mass is calculable, being protected under the quantum correction by gauge invariance, though the predicted Higgs mass is generally too small compared with $M_{W}$. In the 6-dimensional SU(3) model, however, a suitable orbifolding is known to lead to a mass of the order of $M_{W}$: $M_{H} = 2M_{W}$ at the tree level, which has some similarity to the corresponding prediction by the MSSM, $M_{H}$ leq (cos beta) $M_{Z}$. Read More

We investigate the two-word Naming Game on two-dimensional random geometric graphs. Studying this model advances our understanding of the spatial distribution and propagation of opinions in social dynamics. A main feature of this model is the spontaneous emergence of spatial structures called opinion domains which are geographic regions with clear boundaries within which all individuals share the same opinion. Read More

Due to its ability to tolerate high channel loss, decoy-state quantum key distribution (QKD) has been one of the main focuses within the QKD community. Notably, several experimental groups have demonstrated that it is secure and feasible under real-world conditions. Crucially, however, the security and feasibility claims made by most of these experiments were obtained under the assumption that the eavesdropper is restricted to particular types of attacks or that the finite-key effects are neglected. Read More

In this paper, we consider high scale (100 TeV) supersymmetry (SUSY) breaking and realize the idea of hilltop supernatural inflation in concrete particle physics models based on flipped-SU(5) and Pati-Salam models in the framework of supersymmetric grand unified theories (SUSY GUTs). The inflaton can be a flat direction including right-handed sneutrino and the waterfall field is a GUT Higgs. The spectral index is $n_s=0. Read More