10,375 research outputs found

    Writhing Geometry at Finite Temperature: Random Walks and Geometric phases for Stiff Polymers

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    We study the geometry of a semiflexible polymer at finite temperatures. The writhe can be calculated from the properties of Gaussian random walks on the sphere. We calculate static and dynamic writhe correlation functions. The writhe of a polymer is analogous to geometric or Berry phases studied in optics and wave mechanics. Our results can be applied to confocal microscopy studies of stiff filaments and to simulations of short DNA loopsComment: 11 pages with 5 figures. Latex2

    Environmental Impact on the Southeast Limb of the Cygnus Loop

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    We analyze observations from the Chandra X-ray Observatory of the southeast knot of the Cygnus Loop supernova remnant. In this region, the blast wave propagates through an inhomogeneous environment. Extrinsic differences and subsequent multiple projections along the line of sight rather than intrinsic shock variations, such as fluid instabilities, account for the apparent complexity of the images. Interactions between the supernova blast wave and density enhancements of a large interstellar cloud can produce the morphological and spectral characteristics. Most of the X-ray flux arises in such interactions, not in the diffuse interior of the supernova remnant. Additional observations at optical and radio wavelengths support this account of the existing interstellar medium and its role in shaping the Cygnus Loop, and they demonstrate that the southeast knot is not a small cloud that the blast wave has engulfed. These data are consistent with rapid equilibration of electron and ion temperatures behind the shock front, and the current blast wave velocity v_{bw} approx 330 km/s. Most of this area does not show strong evidence for non-equilibrium ionization conditions, which may be a consequence of the high densities of the bright emission regions.Comment: To appear in ApJ, April 1, 200

    3D Object Tracking and Motion Profiling

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    In order to advance the field of computer vision in the direction of “strong AI”, it’s necessary to address the subproblems of creating a system that can “see” in a way comparable to a human or animal. Due to very recent advances in depth-sensing imaging technology, it is now possible to generate accurate and detailed depth maps that can be used for image segmentation, mapping, and other higher-level processing functions needed for these subproblems. Using this technology, I describe a method for identifying a moving object in video and segmenting the image of the object based on its motion. This creates a coarse vector field where each segment denotes a region of the object that is moving in the same general direction, rounded to the nearest 45 degrees. The approach described combines a conventional background subtraction algorithm, depth sensor data, and a biologically-inspired artificial neural circuit. In most cases the entire process can execute in near real time as the video is captured and is reasonably accurate

    A blues-based improvisation method for beginning instrumentalists

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    Executive Compensation in Nonprofit Health Care Organizations: Who\u27s in Charge ?

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    On multitype branching processes with ϱ ⩽ 1

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    Ionization of Rydberg atoms embedded in an ultracold plasma

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    We have studied the behavior of cold Rydberg atoms embedded in an ultracold plasma. We demonstrate that even deeply bound Rydberg atoms are completely ionized in such an environment, due to electron collisions. Using a fast pulse extraction of the electrons from the plasma we found that the number of excess positive charges, which is directly related to the electron temperature Te, is not strongly affected by the ionization of the Rydberg atoms. Assuming a Michie-King equilibrium distribution, in analogy with globular star cluster dynamics, we estimate Te. Without concluding on heating or cooling of the plasma by the Rydberg atoms, we discuss the range for changing the plasma temperature by adding Rydberg atoms.Comment: To be published in P.R.

    Time-Dependent Models for Dark Matter at the Galactic Center

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    The prospects of indirect detection of dark matter at the galactic center depend sensitively on the mass profile within the inner parsec. We calculate the distribution of dark matter on sub-parsec scales by integrating the time-dependent Fokker-Planck equation, including the effects of self-annihilations, scattering of dark matter particles by stars, and capture in the supermassive black hole. We consider a variety of initial dark matter distributions, including models with very high densities ("spikes") near the black hole, and models with "adiabatic compression" of the baryons. The annihilation signal after 10 Gyr is found to be substantially reduced from its initial value, but in dark matter models with an initial spike, order-of-magnitude enhancements can persist compared with the rate in spike-free models, with important implications for indirect dark matter searches with GLAST and Air Cherenkov Telescopes like HESS and CANGAROO.Comment: Four page

    Distribution of sizes of erased loops for loop-erased random walks

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    We study the distribution of sizes of erased loops for loop-erased random walks on regular and fractal lattices. We show that for arbitrary graphs the probability P(l)P(l) of generating a loop of perimeter ll is expressible in terms of the probability Pst(l)P_{st}(l) of forming a loop of perimeter ll when a bond is added to a random spanning tree on the same graph by the simple relation P(l)=Pst(l)/lP(l)=P_{st}(l)/l. On dd-dimensional hypercubical lattices, P(l)P(l) varies as lσl^{-\sigma} for large ll, where σ=1+2/z\sigma=1+2/z for 1<d<41<d<4, where z is the fractal dimension of the loop-erased walks on the graph. On recursively constructed fractals with d~<2\tilde{d} < 2 this relation is modified to σ=1+2dˉ/(d~z)\sigma=1+2\bar{d}/{(\tilde{d}z)}, where dˉ\bar{d} is the hausdorff and d~\tilde{d} is the spectral dimension of the fractal.Comment: 4 pages, RevTex, 3 figure
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