68,366 research outputs found

    Stellar collisions in galactic centers: black hole growth and color gradients

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    We study the effects of stellar collisions, particularly on feeding massive black holes (BHs) and color gradients, in realistic galactic centers. We find that the mass released by stellar collisions is not sufficient to account for the present BH mass in galactic centers, especially in bright galaxies. This study, together with the study by Magorrian & Tremaine (1999) on tidal disruption of stars by massive BHs, implies that the material for BH growth (especially in galaxies brighter than ~10^9 Lsun) can only come from other sources, for example, the mass released by stellar evolution in the initial ~1 Gyr of the galaxy's lifetime, or the gas that sinks to the galactic center in a galaxy merger. We also analyze how the color of a stellar system is affected by collisions of stars. We find that collisions between main-sequence stars cannot cause observable color gradients in the visible bands at projected radius R>0.1" in M31, M32 and other nearby galactic centers. This result is consistent with the lack of an observable color gradient in M32 at R>0.1". At even smaller radii, the color differences caused by collisions between main-sequence stars are at most 0.08 mag at R=0.02". The averaged blueing due to stellar collisions in the region R<0.1" of M32 should not be larger than 0.06 mag in color index U-V and 0.02 mag in V-I. The observed blueing in the center of the galaxy M31 (in a 0.14"x0.14" box) must be caused by some mechanism other than collisions between main-sequence stars.Comment: 27 pages, including 10 figures, MNRAS in pres

    Transmission of Water Waves under Multiple Vertical Thin Plates

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    The transmission of water waves under vertical thin plates, e.g., offshore floating breakwaters, oscillating water column wave energy converters, and so on, is a crucial feature that dominates the hydrodynamic performance of marine devices. In this paper, the analytical solution to the transmission of water waves under multiple 2D vertical thin plates is firstly derived based on the linear potential theory. The influences of relevant parameters on the wave transmission are discussed, which include the number of plates, the draft of plates, the distance between plates and the water depth. The analytical results suggest that the transmission of progressive waves gradually weakens with the growth of the number and draft of plates, and under the conditions of given number and draft of plates, the distribution of plates has significant influence on the transmission of progressive waves. The results of this paper contribute to the understanding of the transmission of water waves under multiple vertical thin plates, as well as the suggestion on optimal design of complex marine devices, such as a floating breakwater with multiple plates

    Study of ΛbΛ(ϕ,η())\Lambda_b\to \Lambda (\phi,\eta^{(\prime)}) and ΛbΛK+K\Lambda_b\to \Lambda K^+K^- decays

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    We study the charmless two-body ΛbΛ(ϕ,η())\Lambda_b\to \Lambda (\phi,\eta^{(\prime)}) and three-body ΛbΛK+K\Lambda_b\to \Lambda K^+K^- decays. We obtain B(ΛbΛϕ)=(3.53±0.24)×106{\cal B}(\Lambda_b\to \Lambda\phi)=(3.53\pm 0.24)\times 10^{-6} to agree with the recent LHCb measurement. However, we find that B(ΛbΛ(ϕ)K+K)=(1.71±0.12)×106{\cal B}(\Lambda_b\to \Lambda(\phi\to)K^+ K^-)=(1.71\pm 0.12)\times 10^{-6} is unable to explain the LHCb observation of B(ΛbΛK+K)=(15.9±1.2±1.2±2.0)×106{\cal B}(\Lambda_b\to\Lambda K^+ K^-)=(15.9\pm 1.2\pm 1.2\pm 2.0)\times 10^{-6}, which implies the possibility for other contributions, such as that from the resonant ΛbKN,NΛK+\Lambda_b\to K^- N^*,\,N^*\to\Lambda K^+ decay with NN^* as a higher-wave baryon state. For ΛbΛη()\Lambda_b\to \Lambda \eta^{(\prime)}, we show that B(ΛbΛη,Λη)=(1.47±0.35,1.83±0.58)×106{\cal B}(\Lambda_b\to \Lambda\eta,\,\Lambda\eta^\prime)= (1.47\pm 0.35,1.83\pm 0.58)\times 10^{-6}, which are consistent with the current data of (9.35.3+7.3,<3.1)×106(9.3^{+7.3}_{-5.3},<3.1)\times 10^{-6}, respectively. Our results also support the relation of B(ΛbΛη)B(ΛbΛη){\cal B}(\Lambda_b\to \Lambda\eta) \simeq {\cal B}(\Lambda_b\to\Lambda\eta^\prime), given by the previous study.Comment: 8 pages, 1 figure, revised version accepted by EPJ

    Design of a 2.4 GHz High-Performance Up-Conversion Mixer with Current Mirror Topology

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    In this paper, a low voltage low power up-conversion mixer, designed in a Chartered 0.18 μm RFCMOS technology, is proposed to realize the transmitter front-end in the frequency band of 2.4 GHz. The up-conversion mixer uses the current mirror topology and current-bleeding technique in both the driver and switching stages with a simple degeneration resistor. The proposed mixer converts an input of 100 MHz intermediate frequency (IF) signal to an output of 2.4 GHz radio frequency (RF) signal, with a local oscillator (LO) power of 2 dBm at 2.3 GHz. A comparison with conventional CMOS up-conversion mixer shows that this mixer has advantages of low voltage, low power consumption and high-performance. The post-layout simulation results demonstrate that at 2.4 GHz, the circuit has a conversion gain of 7.1 dB, an input-referred third-order intercept point (IIP3) of 7.3 dBm and a noise figure of 11.9 dB, while drawing only 3.8 mA for the mixer core under a supply voltage of 1.2 V. The chip area including testing pads is only 0.62×0.65 mm2

    Parameter Sensitivity Analysis of Social Spider Algorithm

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    Social Spider Algorithm (SSA) is a recently proposed general-purpose real-parameter metaheuristic designed to solve global numerical optimization problems. This work systematically benchmarks SSA on a suite of 11 functions with different control parameters. We conduct parameter sensitivity analysis of SSA using advanced non-parametric statistical tests to generate statistically significant conclusion on the best performing parameter settings. The conclusion can be adopted in future work to reduce the effort in parameter tuning. In addition, we perform a success rate test to reveal the impact of the control parameters on the convergence speed of the algorithm
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