4,276 research outputs found

    Symmetry enhanced first-order phase transition in a two-dimensional quantum magnet

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    Theoretical studies of quantum phase transitions have suggested critical points with higher symmetries than those of the underlying Hamiltonian. Here we demonstrate a surprising emergent symmetry of the coexistence state at a strongly discontinuous phase transition between two ordered ground states. We present a quantum Monte Carlo study of a two-dimensional S=1/2 quantum magnet hosting the antiferromagnetic (AFM) and plaquette-singlet solid (PSS) states recently detected in SrCu2(BO3)2. We observe that the O(3) symmetric AFM order and the Z2 symmetric PSS order form an O(4) vector at the transition. The control parameter g (a coupling ratio) rotates the vector between the AFM and PSS sectors and there are no energy barriers between the two at the transition point gc. This phenomenon may be observable in SrCu2(BO3)2.First author draf

    Master of Science

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    thesisWe identify an interdecadal oscillatory mode of the North Atlantic atmosphere-ocean system via a Linear Inverse Model (LIM). This mode is shown to be related to the interior pathway propagation of Atlantic Meridional Overturning Circulation (AMOC) anomalies. The oscillation is an ocean-only mode while excited by atmospheric forcing; in particular, it can be approximated as a linearly driven damped oscillator while the North Atlantic Oscillation (NAO) acts as part of the ''external" force. We also show that the influence of NAO-induced surface wind stress forcing quickly damps while the NAO-induced deep flow anomaly, integrating with ocean topography, plays a crucial role in this interdecadal mode. Including such deep ocean dynamics besides surface temperature (SST) significantly improves and prolongs the LIM's prediction skill of SST evolution

    Research on Effects of Chinese Current Tax System Adjustment on Income Distribution of Urban Residents

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    This article analyzes the adjustment effect of Chinese current tax system on income gap among urban residents, using statistical and econometric research methods, and a series of the Gini coefficient, income equality index and etc. to calculate and compare income disparity of urban residents in the existing tax system. The research result shows that the existing tax system has hardly any effect on income distribution of urban residents. Thus the last part of this article puts forward some suggestions to the government on how to reform currently tax system in order to improve people's livelihood, and promote harmonious development. Key words: Tax system; Income gap; Adjustment effects RĂ©sumĂ©: Cet article analyse l'effet de l'ajustement de l'actuel rĂ©gime fiscal chinois sur l'Ă©cart des revenus entre les habitants urbains, en utilisant des mĂ©thodes de recherche statistique et Ă©conomĂ©trique, ainsi qu'une sĂ©rie de coefficients de Gini, l'indice de l'Ă©galitĂ© des revenus afin de calculer et de comparer les disparitĂ©s de revenus des rĂ©sidents urbains dans la l'actuel rĂ©gime fiscal. Le rĂ©sultat de la recherche montre que le systĂšme fiscal actuel n'a guĂšre d'effet sur la rĂ©partition des revenus des rĂ©sidents urbains. Ainsi, la derniĂšre partie de cet article met en avant quelques suggestions au gouvernement sur la façon de rĂ©former l'actuel systĂšme fiscal en vue d'amĂ©liorer la vie du peuple, et de promouvoir un dĂ©veloppement harmonieux. Mots-clĂ©s: SystĂšme fiscal; Écart des revenues; Effets d'ajustemen

    Reconstructing 3D Human Pose from RGB-D Data with Occlusions

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    We propose a new method to reconstruct the 3D human body from RGB-D images with occlusions. The foremost challenge is the incompleteness of the RGB-D data due to occlusions between the body and the environment, leading to implausible reconstructions that suffer from severe human-scene penetration. To reconstruct a semantically and physically plausible human body, we propose to reduce the solution space based on scene information and prior knowledge. Our key idea is to constrain the solution space of the human body by considering the occluded body parts and visible body parts separately: modeling all plausible poses where the occluded body parts do not penetrate the scene, and constraining the visible body parts using depth data. Specifically, the first component is realized by a neural network that estimates the candidate region named the "free zone", a region carved out of the open space within which it is safe to search for poses of the invisible body parts without concern for penetration. The second component constrains the visible body parts using the "truncated shadow volume" of the scanned body point cloud. Furthermore, we propose to use a volume matching strategy, which yields better performance than surface matching, to match the human body with the confined region. We conducted experiments on the PROX dataset, and the results demonstrate that our method produces more accurate and plausible results compared with other methods

    ZeroGen: Zero-shot Multimodal Controllable Text Generation with Multiple Oracles

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    Automatically generating textual content with desired attributes is an ambitious task that people have pursued long. Existing works have made a series of progress in incorporating unimodal controls into language models (LMs), whereas how to generate controllable sentences with multimodal signals and high efficiency remains an open question. To tackle the puzzle, we propose a new paradigm of zero-shot controllable text generation with multimodal signals (\textsc{ZeroGen}). Specifically, \textsc{ZeroGen} leverages controls of text and image successively from token-level to sentence-level and maps them into a unified probability space at decoding, which customizes the LM outputs by weighted addition without extra training. To achieve better inter-modal trade-offs, we further introduce an effective dynamic weighting mechanism to regulate all control weights. Moreover, we conduct substantial experiments to probe the relationship of being in-depth or in-width between signals from distinct modalities. Encouraging empirical results on three downstream tasks show that \textsc{ZeroGen} not only outperforms its counterparts on captioning tasks by a large margin but also shows great potential in multimodal news generation with a higher degree of control. Our code will be released at https://github.com/ImKeTT/ZeroGen.Comment: 17 pages, preprin

    Symmetry enhanced first-order phase transition in a two-dimensional quantum magnet

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    Theoretical studies of quantum phase transitions have suggested critical points with higher symmetries than those of the underlying Hamiltonian. Here we demonstrate a surprising emergent symmetry of the coexistence state at a strongly discontinuous phase transition between two ordered ground states. We present a quantum Monte Carlo study of a two-dimensional S=1/2S=1/2 quantum magnet hosting the antiferromagnetic (AFM) and plaquette-singlet solid (PSS) states recently detected in SrCu2_2(BO3_3)2_2. We observe that the O(3) symmetric AFM order and the Z2_2 symmetric PSS order form an O(4) vector at the transition. The control parameter gg (a coupling ratio) rotates the vector between the AFM and PSS sectors and there are no energy barriers between the two at the transition point gcg_c. This phenomenon may be observable in SrCu2_2(BO3_3)2_2.Comment: 12 pages, 12 figure
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