4,786 research outputs found

    Searching for Ξcc+\Xi_{cc}^+ in Relativistic Heavy Ion Collisions

    Full text link
    We study the doubly charmed baryon Ξcc+\Xi_{cc}^+ in high energy nuclear collisions. We solve the three-body Schroedinger equation with relativistic correction and calculate the Ξcc+\Xi_{cc}^+ yield and transverse momentum distribution via coalescence mechanism. For Ξcc+\Xi_{cc}^+ production in central Pb+Pb collisions at LHC energy, the yield is extremely enhanced, and the production cross section per binary collision is one order of magnitude larger than that in p+p collisions. This indicates that, it is most probable to discover Ξcc+\Xi_{cc}^+ in heavy ion collisions and its discovery can be considered as a probe of the quark-luon plasma formation.Comment: 5 pages and 4 figure

    Automorphisms of 3-folds of general type acting trivially on cohomology

    Full text link
    Let XX be a minimal projecitve complex 33-fold of general type with canonical Gorenstein singularities and Aut0(X)\mathrm{Aut}_0(X) be the subgroup of automorphisms acting trivially on Hβˆ—(X,Q)H^*(X,\mathbb{Q}). We prove that if XX has maximal Albanese dimension, ∣Aut0(X)βˆ£β‰€6|\mathrm{Aut}_0(X)|\leq 6. Then we concern the class of complex varieties X=(C1Γ—C2Γ—β‹―Γ—Cd)/GX=(C_1\times C_2\times\dots\times C_d)/G (dβ‰₯2d\geq2) isogenous to a (higher) product of unmixed type with each q(Ci/G)β‰₯1q(C_i/G)\geq 1. The main result of this paper is that if the irregularity q(X)β‰₯d+1q(X)\geq d+1, Aut0(X)\mathrm{Aut}_0(X) is trivial. Moreover, in the case d=3d=3, let (C1Γ—C2Γ—C3)/G(C_1\times C_2\times C_3)/G itself be the minimal realization of XX and KiK_i be the subgroup of GG acting identity on CiC_i, we show that if GG is abelian, every KiK_i is cyclic and q(X)=3q(X) = 3, then Aut0(X)β‰…Z2k\mathrm{Aut}_0(X)\cong \mathbb{Z}_2^k with k=0,1,2k=0,1,2. In the end some examples of complex 33-folds with Aut0(X)β‰…Z2\mathrm{Aut}_0(X)\cong \mathbb{Z}_2 and Z22\mathbb{Z}_2^2 are provided

    Floquet engineering of long-range p-wave superconductivity: Beyond the high-frequency limit

    Full text link
    It has been shown that long-range {\it p}-wave superconductivity in a Kitaev chain can be engineered via an ac field with a high frequency [Benito et al., Phys. Rev. B 90, 205127 (2014)]. For its experimental realization, however, theoretical understanding of Floquet engineering with a broader range of driving frequencies becomes important. In this work, focusing on the ac-driven tunneling interactions of a Kitaev chain, we investigate effects from the leading correction to the high-frequency limit on the emergent {\it p}-wave superconductivity. Importantly, we find new engineered long-range {\it p}-wave pairing interactions that can significantly alter the ones in the high-frequency limit at long interaction ranges. We also find that the leading correction additionally generates nearest-neighbor {\it p}-wave pairing interactions with a renormalized pairing energy, long-range tunneling interactions, and in particular multiple pairs of Floquet Majorana edge states that are destroyed in the high- frequency limit.Comment: 13 pages, 8 figure

    Capillary-based multiplexed isothermal nucleic acid-based test for sexually transmitted diseases in patients

    Get PDF
    We demonstrate a multiplexed loop mediated isothermal amplification (LAMP) assay for infectious disease diagnostics, where the analytical process flow of target pathogens genomic DNA is performed manually by moving magnetic beads through a series of plugs in a capillary. Heat is provided by a water bath and the results read by the naked eye, enabling applications in low resource settings

    Self-Supervised Audio-Visual Co-Segmentation

    Full text link
    Segmenting objects in images and separating sound sources in audio are challenging tasks, in part because traditional approaches require large amounts of labeled data. In this paper we develop a neural network model for visual object segmentation and sound source separation that learns from natural videos through self-supervision. The model is an extension of recently proposed work that maps image pixels to sounds. Here, we introduce a learning approach to disentangle concepts in the neural networks, and assign semantic categories to network feature channels to enable independent image segmentation and sound source separation after audio-visual training on videos. Our evaluations show that the disentangled model outperforms several baselines in semantic segmentation and sound source separation.Comment: Accepted to ICASSP 201
    • …
    corecore