1,402 research outputs found

    Analysis on Heavy Quarkonia Transitions with Pion Emission in Terms of the QCD Multipole Expansion and Determination of Mass Spectra of Hybrids

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    One of the most important tasks in high energy physics is search for the exotic states, such as glueball, hybrid and multi-quark states. The transitions ψ(ns)→ψ(ms)+ππ\psi(ns)\to \psi(ms)+\pi\pi and Υ(ns)→Υ(ms)+ππ\Upsilon(ns)\to \Upsilon(ms)+\pi\pi attract great attentions because they may reveal characteristics of hybrids. In this work, we analyze those transition modes in terms of the theoretical framework established by Yan and Kuang. It is interesting to notice that the intermediate states between the two gluon-emissions are hybrids, therefore by fitting the data, we are able to determine the mass spectra of hybrids. The ground hybrid states are predicted as 4.23 GeV (for charmonium) and 10.79 GeV (for bottonium) which do not correspond to any states measured in recent experiments, thus it may imply that very possibly, hybrids mix with regular quarkonia to constitute physical states. Comprehensive comparisons of the potentials for hybrids whose parameters are obtained in this scenario with the lattice results are presented.Comment: 16 pages, 2 figur

    Electromagnetic counterparts of high-frequency gravitational waves in a rotating laboratory frame system and their detection

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    We consider the perturbative photon flows (PPFs, i.e., electromagnetic (EM) counterparts) generated by the EM resonance response to high-frequency gravitational waves (HFGWs) with additional polarization states in a rotating laboratory frame system. It is found that when the propagating direction of the HFGWs and the symmetrical axis of the laboratory frame system are the same, the PPFs have the maximum value. In this case, using the rotation (the rotation of azimuth Ï•\phi) of the EM detection system, all six possible polarization states of the HFGWs can be separated and displayed. For the current experimental conditions, it is quite prospective to detect the PPFs generated by the HFGWs predicted in the braneworld models, the primordial black hole theories and the interaction mechanism between astrophysical plasma and intense EM radiation, etc., due to the large amplitudes (or high spectral densities) and spectral characteristics of these HFGWs. Detecting the primordial HFGWs from inflation faces great challenges at present, but it is not impossible.Comment: 29 pages, 8 figures, 1 table; corrected some minor typos; added reference

    A detail-enhanced sampling strategy in Hadamard single-pixel imaging

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    Hadamard single-pixel imaging (HSI) is an appealing imaging technique due to its features of low hardware complexity and industrial cost. To improve imaging efficiency, many studies have focused on sorting Hadamard patterns to obtain reliable reconstructed images with very few samples. In this study, we present an efficient HSI imaging method that employs an exponential probability function to sample Hadamard spectra along a direction with better energy concentration for obtaining Hadamard patterns. We also propose an XY order to further optimize the pattern-selection method with extremely fast Hadamard order generation while retaining the original performance. We used the compressed sensing algorithm for image reconstruction. The simulation and experimental results show that these pattern-selection method reliably reconstructs objects and preserves the edge and details of images.Comment: 14 pages, 12 figures,1 tabl

    Pixel is All You Need: Adversarial Trajectory-Ensemble Active Learning for Salient Object Detection

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    Although weakly-supervised techniques can reduce the labeling effort, it is unclear whether a saliency model trained with weakly-supervised data (e.g., point annotation) can achieve the equivalent performance of its fully-supervised version. This paper attempts to answer this unexplored question by proving a hypothesis: there is a point-labeled dataset where saliency models trained on it can achieve equivalent performance when trained on the densely annotated dataset. To prove this conjecture, we proposed a novel yet effective adversarial trajectory-ensemble active learning (ATAL). Our contributions are three-fold: 1) Our proposed adversarial attack triggering uncertainty can conquer the overconfidence of existing active learning methods and accurately locate these uncertain pixels. {2)} Our proposed trajectory-ensemble uncertainty estimation method maintains the advantages of the ensemble networks while significantly reducing the computational cost. {3)} Our proposed relationship-aware diversity sampling algorithm can conquer oversampling while boosting performance. Experimental results show that our ATAL can find such a point-labeled dataset, where a saliency model trained on it obtained 97%97\% -- 99%99\% performance of its fully-supervised version with only ten annotated points per image.Comment: 9 pages, 8 figure

    A new theorem on quadratic residues modulo primes

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    A new theorem on quadratic residues modulo primes

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    Let p>3p>3 be a prime, and let (⋅p)(\frac{\cdot }{p}) be the Legendre symbol. Let b∈Zb\in \mathbb{Z} and ε∈{±1}\varepsilon \in \lbrace \pm 1\rbrace . We mainly prove that \[ \left|\left\lbrace N_p(a,b):\ 1\lbrace ax^2+b\rbrace _p,and, and \lbrace m\rbrace _pwith with m\in \mathbb{Z}istheleastnonnegativeresidueof is the least nonnegative residue of mmodulo modulo p$

    A new theorem on quadratic residues modulo primes

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    Let p>3p>3 be a prime, and let (⋅p)(\frac{\cdot}p) be the Legendre symbol. Let b∈Zb\in\mathbb Z and ε∈{±1}\varepsilon\in\{\pm 1\}. We mainly prove that ∣{Np(a,b): 1<a<p and (ap)=ε}∣=3−(−1p)2,\left|\left\{N_p(a,b):\ 1<a<p\ \text{and}\ \left(\frac ap\right)=\varepsilon\right\}\right|=\frac{3-(\frac{-1}p)}2, where Np(a,b)N_p(a,b) is the number of positive integers x{ax2+b}px\{ax^2+b\}_p, and {m}p\{m\}_p with m∈Zm\in\mathbb{Z} is the least nonnegative residue of mm modulo pp.Comment: 6 pages. Accepted by C. R. Math. Acad, Sci. Pari
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